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RFID and buyer-seller
relationships in the retail
supply chain
Harold Boeck
Université de Sherbrooke, Sherbrooke, Canada and
ePoly, École Polytechnique de Montréal, Montreal, Canada, and
Samuel Fosso Wamba
RFID and
buyer-seller
relationships
433
Received 16 July 2007
Revised 4 October 2007
Accepted 23 October 2007
ePoly, École Polytechnique de Montréal, Montreal, Canada
Abstract
Purpose – The aim of this paper is to understand why a collaborative innovation, such as
radio-frequency identification (RFID) technology, engenders seemingly opposite buyer-seller
relationship reactions among members of a supply chain.
Design/methodology/approach – The researchers carried out a three year exploratory multiple
case study using the grounded theory approach through participant-observation and collaborative
action research. The research project culminated in a fully functional RFID proof of concept solution
which involved multiple layers of a retail supply chain. The researchers chose the retail industry for
the study because it provided the ideal conditions to answer the research question.
Findings – The results highlight the role of supplier-buyer relationships as both crucial antecedents
that shape RFID infrastructure and the consequence of RFID implementation. Specifically, the impact
on and of eight key dimensions was considered, namely communication and information sharing,
cooperation, trust, commitment, relationship value, power imbalance and interdependence, adaptation,
and conflict. The paper also positions open-loop RFID projects as supply chain inter-organizational
systems and presents a model to analyze such initiatives.
Research limitations/implications – The choice of methodology has provided the insight
necessary to answer the research question. Other researchers are encouraged to validate these
findings through replication with other case studies or through quantitative data to reach analytical
and statistical generalizability. The authors also encourage future research on this topic in other
industries.
Originality/value – As more supply chains move forward with collaborative RFID initiatives, it is
important that these companies be aware of the strategic role of supplier-buyer relationships as both
crucial antecedents that shape RFID infrastructure and a consequence of RFID implementation.
Keywords Buyer-seller relationships, Identification, Supply chain management, Retailing,
Radiofrequencies
Paper type Research paper
Introduction
Radio-frequency identification (RFID), a technology that facilitates the tracking and
manipulation of physical items, is now a major technological trend. According to
experienced early adopters, knowledgeable industry leaders and academic researchers,
it facilitates collaboration between organizations (Cantwell, 2006; Lefebvre et al., 2006;
Lekakos, 2007; Roberti, 2006). In this context, it constitutes a supply chain
management (SCM) enabling technology (Attaran, 2007; Pramatari, 2007).
International Journal of Retail &
Distribution Management
Vol. 36 No. 6, 2008
pp. 433-460
q Emerald Group Publishing Limited
0959-0552
DOI 10.1108/09590550810873929
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SCM is defined as the integration of business processes among companies that
collaborate in an effort to bring a product, service or unit of information from the initial
supplier to the final customer (Lambert et al., 1998; Mills et al., 2004). It has increasingly
become the basis for competition (Angeles and Nath, 2000) between supply chains and
networks (Gomes-Casseres, 1994). SCM provides many benefits including cost
reductions (Spekman et al., 1998) and a collaborative advantage, rather than a
competitive advantage (Chen and Paulraj, 2004). Within the supply chain, buyer-seller
relationships are the individual links, the dyads, among companies that tie it together.
Without these links, there would be no supply chain. They are therefore of paramount
importance for SCM. In fact, a literature review of over 400 academic articles on SCM
has placed these links at the center of SCM research (Chen and Paulraj, 2004).
At first glance, RFID seems to support the move from a more adversarial stance
towards collaborative relationships. Paradoxically, though, this does not always seem
to be the case, at least in the retail industry where RFID has attracted the most interest
(LoPrinzi, 2006). RFID implementations between major retailers and their suppliers
seem to be far from collaborative. Several preliminary anecdotes from the industry
indicate that RFID tends to upset relationships (Fogarty, 2004; Romanow, 2004;
Schwartz, 2004) by the use of power (Williams and Moore, 2007) rather than solidifying
them. More recently, a study in the UK grocery retail sector indicates that suppliers
will implement RFID to satisfy their client’s needs at their own short-term detriment
(Hingley et al., 2007). This finding is corroborated by a quantitative study in which
case level tagging was found to result in substantial losses for manufacturers, but not
their retailers (Bottani and Rizzi, 2008). These observations clearly seem contradictory
to a collaborative approach. They therefore warrant additional empirical research and
serve to remind us that little is known of RFID’s impact on buyer-seller relationships
and even less is known of the impact of RFID on all of the buyer-seller relationships in
an entire supply chain. The goal of this paper is therefore to improve our
understanding of this issue by answering the research question:
RQ. How do RFID and the buyer-seller relationships of an entire supply chain
affect one another?
The paper is organized as follows. The next section will review the literature on how
similar collaborative technologies have affected and been affected by buyer-seller
relationships. Then the methodological approach will be presented. The results section
will first present the model that was developed to organize the field data and
communicate the findings. Then the findings will be presented with a focus on the key
issues that emerged from the field data. Finally, the paper will identify how the
key issues influence the dimensions of the buyer-seller relationship, how the study
contributes to academia and practitioners and conclude with suggestions for future
research.
Literature review
An RFID system can be briefly described as follows: an electronic tag containing
historical, transactional or identifying data are affixed to or embedded in an object.
The data are automatically downloaded wirelessly to a computer when the object nears
the vicinity of an RFID reader. Once on the computer, the information can travel
anywhere that is accessible by the internet or on a private network.
RFID as an IOS
RFID is a wireless technology that facilitates the identification of products without
requiring a line of sight (Kärkkäinen and Holmström, 2002). It has the potential to
replace all scanning activities in the supply chain. It can be implemented in a
“closed-loop” setting where it is used internally by a single company, for example, in an
employee authentication system or an electronic antitheft system. It can also be
implemented in an “open-loop” setting where it is used to improve the efficiency of a
supply chain. This is the case for Wal-Mart and other early adopting retailers (Smith,
2005). In this situation, RFID clearly fits the definition of an inter-organizational
system (IOS):
[. . .] an automated information system shared by two or more companies. An IOS is built
around information technology, that is, around computer and communication technology,
that facilitates the creation, storage, transformation and transmission of information. An IOS
differs from an internal distributed information system by allowing information to be sent
across organizational boundaries ( Johnston and Vitale, 1988).
RFID can also replace barcodes, a form of IOS application (Vlosky and Wilson, 1994).
Furthermore, it acts as an enabler of business-to-business electronic commerce (Lefebvre
et al., 2006), another form of IOS. IOSs structure the ties between companies by creating
technological bridges among them that optimize information flow. Therefore, they can
be thought of as a way of solidifying inter-organizational relationships or, at least,
stabilizing them (Chae et al., 2005). In today’s digitalized economy, IOSs are essential for
a competitive supply chain as they lead to better firm performance (Byrd and Davidson,
2003). Because RFID can be considered an IOS, the literature on IOSs and buyer-seller
relationships can provide some insight into our research question.
IOS and buyer-seller relationships
Most studies perceive IOSs to be a positive influence on collaboration (Chae et al., 2005),
but their impact on buyer-seller relationships can be either positive or negative
(Angeles et al., 1998). In fact, trying to optimize SCM with an IOS technology can
potentially be very disruptive to these relationships (Vlosky and Wilson, 1994), to the
point that they may break down (Boeck et al., 2006; Stump and Sriram, 1997) and new
supply chain dyads are formed (Boeck et al., 2006). Many researchers feel that
additional research on the link between technology and buyer-seller relationships is
needed (Deeter-Schmelz and Kennedy, 2004; Gemünden et al., 2003; Leek et al., 2003;
Rao and Perry, 2003; Ryssel et al., 2004).
Historically, research on IOS and buyer-seller relationships has been conducted on
different types of IOS, starting with electronic data interchange (EDI) and barcodes
and moving on to internet-based technologies such as extranets, e-procurement and
e-marketplaces. The different types of IOSs have some similarities but since each kind
functions differently, they can potentially influence buyer-supplier relationships in
different ways. The literature review will show how IOSs have influenced or been
influenced by the buyer-seller relationship through eight of its key dimensions
identified and presented in Table I.
Electronic data interchange. It is difficult to come up with an exact date for the origin
of EDI but most academic and industrial authors agree that it was first introduced in the
1960s (Clarke, 2001; Ramaseshan, 1997). EDI consists of “a computer-to-computer
exchange between trading partners of agreed and structured business documents such
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Table I.
The link between IOS and
eight key dimensions that
characterize buyer-seller
relationships
Key dimensions of buyer-seller
relationships
Definition
The link between IOS and the key dimensions of buyer-seller relationships
Communication and
information sharing
The amount, frequency and
quality of the information flow
between trading partners
(Palmatier et al., 2006)
Cooperation
The willingness to undertake
complimentary actions to
achieve mutual goals
(Palmatier et al., 2006; Wilson,
1995)
Trust
Confidence that the trading
partner will uphold its
obligations and act in the best
interest of its partners
(Palmatier et al., 2006; Wilson,
1995)
EDI alters the relationship which may result in greater coordination in the flow of
inputs (O’Callaghan et al., 1992)
The top strategic factor motivating the adoption of EDI is better communication with
trading partners (Reekers and Smithson, 1994)a
Improved accuracy of information is perceived to be a major advantage of EDI
(Ramaseshan, 1997)a
EDI trading partners share more information faster (Dupuy and Vlosky, 2000)a
Barcoding connects data systems and encourages information sharing (Manthou and
Vlachopoulou, 2001)a
Extranet partners exchange more information in terms and quality and quantity
(Vlosky et al., 2000)a
Internet users tend to communicate with suppliers and customers more frequently
using traditional modes than non-users (Boyle, 2001)a
E-procurement technologies increase the frequency of communication between
trading partners (Carr and Smeltzer, 2002)a
E-marketplaces improve coordination activities and increase the speed of
information sharing (Murtaza et al., 2004)
Initial EDI investment costs must be borne by both firms (O’Callaghan et al., 1992)a
Under conditions of low dependency, there is a danger that the level of cooperation in
trading relationships will be compromised as a result of EDI imposition (Iacovou
et al., 1995)a
Extranet implies a considerable degree of information sharing (Vlosky et al., 2000)a
E-marketplaces can make it easier for suppliers to collaborate with clients (Gulledge,
2002; Howard et al., 2006; Lancastre and Lages, 2006)a
EDI tends to promote a long-term buyer-supplier relationship that can lead to
increased mutual trust (Sriram and Banerjee, 1994)a
Under conditions of low dependency, there is a danger that the level of trust in
trading relationships will be compromised as a result of EDI imposition (Iacovou
et al., 1995)a
Trust on which the relationship is built is not easily shaken when IOS in the form of
EDI enters the relationship mix (Wilson and Vlosky, 1998)a
(continued)
Key dimensions of buyer-seller
relationships
Commitment
Definition
An enduring desire to ensure
that the relationship continues
(Palmatier et al., 2006; Wilson,
1995)
The link between IOS and the key dimensions of buyer-seller relationships
For the most part, respondents trust their extranet partners (Vlosky et al., 2000)a
Adoption of e-procurement was not related to trust between the trading partners
(Carr and Smeltzer, 2002)a
E-marketplaces can contribute to building trust (Ratnasingam, 2005)a
Specific EDI investments impose exit barriers in the form of heightened switching
costs (O’Callaghan et al., 1992)
The establishment of a sophisticated EDI computer linkage between firms reflects a
significant commitment to the relationship (O’Callaghan et al., 1992)
EDI trading partners generally feel fairly committed to long-term relationships
(Dupuy and Vlosky, 2000)a
EDI trading partners perceive that they have a privileged long-term relationship with
one another (Dupuy and Vlosky, 2000)a
A buyer’s satisfaction with a seller’s use of technology-mediated communication,
such as EDI, directly affects their intention to do business with the seller in the future
(MacDonald and Smith, 2004)a
Companies intend to increase future sales or purchases with their extranet partners
(Vlosky et al., 2000)a
It would be disruptive to the company to sever the business relationship with their
extranet partners (Vlosky et al., 2000)a
There is a positive association between commitment to a supplier and the efficient
use of the internet by a buyer (Boyle, 2001)a
E-procurement provided greater information transparency which may lead to
increased outsourcing, supply base reduction, partnership relationships, and
long-term supply contracts (Croom, 2000)
E-procurement leads to a reduction in the supplier base (Boeck et al., 2006; Stump and
Sriram, 1997)a
E-marketplaces are associated with a reduction of the supplier base (White and
Daniel, 2004)a
(continued)
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Table I.
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Table I.
Key dimensions of buyer-seller
relationships
Definition
The link between IOS and the key dimensions of buyer-seller relationships
Relationship value
The trade-off between the
benefits and sacrifices
regarding all aspects of the
relationship (Walter et al., 2000)
Power imbalance and
interdependence
A trading partner’s ability to
influence the other partner to
do something it normally
would not do (Anderson and
Weitz, 1989)
EDI has the unusual quality of providing significant benefits to both sides of the
dyad (O’Callaghan et al., 1992)a
Adopters of barcoding experience relationship disruptions in the short-term and
strengthened relationships in the long-term (Vlosky and Wilson, 1994)a
E-procurement increases sales volume available to the remaining suppliers and
provides a closer relationship (Stump and Sriram, 1997)a
The type of e-marketplaces will influence value creation in the relationship
(Hartmann et al., 2002)a
The use of e-marketplaces provides deeper relationships with the remaining
suppliers (White and Daniel, 2004)a
The source firm attempts to induce EDI adoption in the target firm (O’Callaghan et al.,
1992)a
Both suppliers and buyers have been known to encourage EDI adoption (Sriram and
Banerjee, 1994)a
Powerful buyers can force EDI adoption on their suppliers (Webster, 1995)a
Large suppliers can also be forced to adopt EDI (Webster, 1995)a
The strongest explanatory variable influencing SMEs to adopt EDI is the external
pressure from EDI initiators (Iacovou et al., 1995)a
Large organizations perceive that their own power would influence the changes in
use of EDI in their organization (Ramaseshan, 1997)a
Buyers push sellers to adopt IOS technologies such as EDI and barcodes (Wilson and
Vlosky, 1998)a
Companies believe they give into their partner’s EDI requirements (Dupuy and
Vlosky, 2000)a
External pressure is a considerably more important predictor of intent to adopt EDI
than are perceived benefits (Chwelos et al., 2001)a
The process of EDI adoption is significantly governed by buyer-supplier power
relationship (Iskandar et al., 2001)a
Suppliers that adopt barcoding believe that customers are somewhat dependent on
them due to a short-term scarcity of UPC barcoded product suppliers (Vlosky and
Wilson, 1994)a
(continued)
Key dimensions of buyer-seller
relationships
Adaptation
Conflict
Definition
The link between IOS and the key dimensions of buyer-seller relationships
Power does not seem to be manifested in extranet respondents (Vlosky et al., 2000)a
A marginal level of dependence arises from the difficulty of replacing extranet
partners (Vlosky et al., 2000)a
Large customers team up to form e-marketplaces (Gulledge, 2002)a
Target firms adjust their internal systems to permit the EDI interface with the source
Behavioral or organizational
modifications carried out by an firm (O’Callaghan et al., 1992)
Suppliers have made efforts to adapt to their customer’s EDI requirements (Wilson
organization to meet the
and Vlosky, 1998)a
specific needs of another
(Brennan et al., 2003)
Companies had to modify corporate business procedures to accommodate EDI
(Dupuy and Vlosky, 2000)a
Suppliers that have adopted barcoding believe that they have made significant
investments in time and expense to satisfy customer requirements (Vlosky and
Wilson, 1994)a
There is a slight need to modify business procedures to adapt to extranet partner
requirements (Vlosky et al., 2000)a
Supplier adaptation to e-procurement and e-marketplaces is done through an
iterative process based on the level of the relationship (Boeck et al., 2006)a
Competition, which continues to express itself in supply chain relationships, leads to
Overall level of disagreement
coercive EDI implementations and entails conflict (Webster, 1995)
between trading partners
Sellers have reacted in a defensive mode to buyer EDI requirements (Wilson and
(Palmatier et al., 2006)
Vlosky, 1998)a
The differences in perceived value of barcoded products between buyers and
suppliers contributes significantly to short term relationship deterioration (Vlosky
and Wilson, 1994)a
Suppliers feel that customers do not appreciate the challenges they face in adapting
to barcoding requests (Vlosky and Wilson, 1994)a
SME sometimes offer some form of resistance to e-marketplaces (Gulledge, 2002)a
Note: aSupported by empirical findings
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as purchase orders, invoices, consignment notes, remittance advice and customs
documents” (Power and Sohal, 2002, p. 192). Before its adoption, inter-firm
communications were conducted mainly through mail, telephone and fax. EDI was
primarily perceived as a way to reduce costs, and then as a means of acquiring a
competitive advantage and improving the accuracy of information (Ramaseshan, 1997).
Two dimensions of the buyer-seller relationship, namely commitment and
communication and information sharing, have both been influenced by investments
in EDI technology (O’Callaghan et al., 1992). EDI trading partners generally feel fairly
committed to long-term relationships and also perceive that they have a privileged
long-term relationship with one another (Dupuy and Vlosky, 2000). The buyer’s future
purchase intentions are influenced by its satisfaction with the seller’s use of EDI
(MacDonald and Smith, 2004). They also share more information faster (Dupuy and
Vlosky, 2000).
The process of adopting EDI can be viewed as an internal decision (Ramaseshan,
1997) initiated either by the buyer or the seller, as both have been known to encourage
its adoption (Sriram and Banerjee, 1994), and benefit from such a joint initiative
(O’Callaghan et al., 1992). However, the perceived advantages of EDI sometimes
entice powerful buyers to force its adoption on their suppliers (Webster, 1995), thereby
introducing conflict in their relationships. Inducing the adaptation of a trading partner
so that it will adopt EDI has been done to transfer competitive pressures from the
marketplace to suppliers (Reekers and Smithson, 1994). External pressures from
trading partners are indeed an important factor explaining the adoption of EDI by
SMEs (Iacovou et al., 1995), even more than its perceived benefits (Chwelos et al., 2001).
However, since large suppliers can also be forced to adopt EDI (Webster, 1995),
low-bargaining power (Iskandar et al., 2001) may be a stronger explanatory factor than
size. Power imbalance and interdependence would therefore better explain EDI
adoption, as about a third of suppliers have also strongly or very strongly encouraged
their buyers to adopt EDI (Sriram and Banerjee, 1994).
Barcodes. Barcoding can also be considered an IOS technology (Vlosky and Wilson,
1994). A barcode consists of a label with alternating black and white lines often
representing a Universal Product Code (UPC) that can be read by an optical scanner
(Fiorito et al., 1998). They are used to improve the accuracy of information and data
transmission speed (Manthou and Vlachopoulou, 2001) and to encourage information
sharing. In the retail sector, IOSs such as EDI and UPC barcoding enable modern
logistic strategies like just-in-time for manufacturers and its quick response (QR)
equivalent for retailers (Levy et al., 2004; Wilson and Vlosky, 1998).
Although it was commercially introduced later than EDI, in 1974 (Varchaver, 2004),
barcoding’s widespread use in the retail sector preceded the use of EDI (Abernathy
et al., 2000). One possible reason is that, in order for EDI to function, an accurate
product identification method is required for each stock keeping unit. Barcoding
constitutes such an identification method and therefore enables advanced retail
strategies. For example, immediate point of sale data cannot be transmitted via EDI
without barcodes (Fiorito et al., 1998), which in turn support a QR system that can
reduce lead time by a week or more (Levy et al., 2004).
These benefits of barcoding have encouraged some buyers to ask their sellers to
adopt the technology (Wilson and Vlosky, 1998), which in turn has influenced their
relationships. In a study conducted in the retail industry, focusing on wood products
(Vlosky and Wilson, 1994), it was demonstrated that UPC barcoding resulted in a
poorer-quality buyer-seller relationship in the short-term, but later and paradoxically,
in a stronger relationship. Additionally, suppliers believe that their own adoption of
barcoding will make buyers somewhat more dependent as they have to rely on them.
Sellers also feel that they adapt to barcoding requests and have made significant
investments to satisfy buyers’ requirements, whereas the latter feel that the opposite is
true. This dichotomy in perception contributes to the fact that suppliers feel that the
challenges linked to their adaptation are not sufficiently appreciated by buyers (Vlosky
and Wilson, 1994). A more recent study (Dupuy and Vlosky, 2000) of a different form of
IOS supports these findings: suppliers feel that they give into their customers’ EDI
requirements and that they invest a lot of time and money in order to adapt their
internal processes to accommodate buyers.
Internet and extranets. The internet was created in 1969, but it was only after the
introduction of the world wide web (the web) that its utilization grew rapidly. It serves
as a backbone for data transmission and promised to aid in the large-scale adoption of
EDI by replacing the more costly value-added networks that were used to exchange
documents. It also supported the next waves of IOS like the web and extranets as well
as more complex forms of electronically mediated processes using e-procurement and
e-marketplaces. A study on internet use in industrial channels (Boyle, 2001) indicates
that internet use increases commitment towards the supplier and that internet users
communicate more frequently with suppliers and customers.
Extranets consist of private web pages that are accessible only to privileged trading
partners. An empirical study (Vlosky et al., 2000) found that companies that use
extranets exchange a larger quantity and new types of information and communicate
more frequently with extranet partners. They also feel a deeper commitment towards
their trading partners (Vlosky et al., 2000). Although a certain degree of adaptation
is required by the trading partners, no use of power was perceived. This finding is
different from other types of IOS where adaptation often results in some form of
conflict. It should be noted though, that extranets are less invasive. They generally
consist of a web interface where information is simply shared with a trading partner
rather than integrated with internal systems.
E-procurement. E-procurement systems started to appear around the mid-1990s
(Howard et al., 2006). They electronically link buyers’ procurement systems with their
suppliers (Puschmann and Alt, 2005). Their main benefits are the reduction of
operating and searching costs (Dai and Kauffman, 2001).
More transparent information may lead to increased outsourcing, improved
procurement processes and more strategic management of certain types of indirect
purchases (Croom, 2000), which can completely redefine the nature of buyer-seller
relationships in the supply chain and even of the supply chain itself. For example,
investing in e-procurement leads to a reduction in the supplier base, thereby making
more sales volume available to the remaining suppliers (Stump and Sriram, 1997).
Another study has also concluded that the introduction of e-procurement can trim back
the supply chain through an iterative process of supplier adaptation (Boeck et al., 2006).
The suppliers that survive the “trimming” have a significantly closer relationship with
their buyers (Stump and Sriram, 1997).
The existence of a relationship between the use of e-procurement and the
buyer-supplier relationship has been quantitatively verified (Carr and Smeltzer, 2002).
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In the study, e-procurement was defined in terms of automated purchasing systems
that electronically link buyers with key suppliers and that could include EDI. It was
proven that e-procurement technologies increase the frequency of communication
between trading partners. It was less clear, though, whether this increased frequency
also meant an increased richness of the communication content. Equally interesting
was the fact that the adoption of e-procurement was not related to trust between the
trading partners.
E-marketplaces. Introduced at the end of the 1990s (Puschmann and Alt, 2005),
e-marketplaces are digital intermediaries in which members can participate in buying
and selling activities (Dai and Kauffman, 2001). They can also be used in conjunction
with an e-procurement strategy (Boeck et al., 2006). E-marketplaces attempted to
compensate for some of the shortcomings of earlier IOSs. For example, for a supplier to
adapt to its buyers’ e-procurement systems, it had to electronically link to many
proprietary IOSs, which was very costly.
E-marketplaces are similar to other IOSs in the sense that they can change the
inter-organizational processes between buyers and sellers and thus reshape
buyer-supplier relationships (Murtaza et al., 2004). For example, the use of
e-marketplaces can contribute to building trust (Ratnasingam, 2005). They can also
improve coordination activities and increase the speed of information sharing (Murtaza
et al., 2004). It was also found that e-marketplaces are associated with a reduction of the
supplier base and a deepening of the relationship with the remaining suppliers (White
and Daniel, 2004). Again, the adoption of e-marketplaces is often encouraged by
buyers, especially when SME suppliers are involved (Boeck et al., 2006); sometimes the
latter feel their margins being squeezed and choose to offer some form of resistance
(Gulledge, 2002), thus fostering conflict.
However, e-marketplaces differ from other IOSs in certain distinctive
characteristics. Contrary to other forms of IOS, which are based on one-to-one or
one-to-many relationships, e-marketplaces are based on many-to-many relationships
(Murtaza et al., 2004). This fundamental difference from other forms of IOS enables
new electronic relationships to emerge among buyers, who may team up to form
consortiums (Gulledge, 2002). They also differ in that they can be more collaborative in
nature than e-procurement (Gulledge, 2002) and other IOSs because the electronic
interactions between buyers and suppliers can go beyond basic buying and selling to
include cooperation (Howard et al., 2006; Lancastre and Lages, 2006). However, based
on their classification, their market characteristics and the types of collaborative tools
they offer, certain e-marketplaces are more appropriate to transaction-oriented
relationships or to strategic relationships (Skjott-Larsen et al., 2003), which would
explain the adoption of transactional or cooperative e-marketplaces (Markus and
Christiaanse, 2003). In a purchasing context, it is therefore suggested that the fit
between the purchase situation and the e-marketplace be managed to maximize
relationship value (Hartmann et al., 2002).
Methodology
Research design
This paper’s objective is to discover the link between RFID and buyer-seller
relationships in one supply chain in the retail industry. Nowhere else is the use of
RFID, as a collaborative tool, creating such a seemingly opposite response among
supply chain members. The retail industry was thus ideal for answering the research
question raised. The study was exploratory in nature because RFID research in a
business setting is still in its infancy (Sellitto et al., 2007). Consequently, it was guided
by a general intent to seek an understanding of the phenomenon rather than by a
specific research proposition (Yin, 2003).
The research design relied on two exploratory research methods: carrying out a
multiple case study while building on the grounded theory approach. The case study
method allowed us to set and limit the scope of the research design to a specific group
of companies and to gain an in-depth understanding of the phenomenon under
investigation. It also provided guidelines and a framework (Eisenhardt, 1989; Yin,
2003). The grounded theory approach was used as a guiding philosophy of keeping an
open mind to allow for the discovery of unbiased new concepts revealed by emerging
patterns in the data itself (Glaser and Strauss, 1967). Special care must be taken when
combining the two methods (Fernández et al., 2002) since the case study’s more
structured approach can limit the theory-generating approach of grounded theory.
Using both methods seems particularly appropriate when exploring an emerging
phenomenon such as RFID adoption and investigating complex behavioral issues
related to buyer-seller relationships. Other authors have also combined both methods
(Correia and Wilson, 1997; Lehmann, 2000) and the overall approach has already been
operationalized in several steps, as outlined by Eisenhardt (1989).
Firms involved in the study. The field study was conducted in one retail supply
chain. Ten companies were involved: three manufacturers, referred to, respectively, as
“Bottler A,” “Bottler B,” and “Bottler C”; one first-level distributor (called here
“Distributor 1”) through which all products must transit; three second-level
distributors, referred to, respectively, as “Distributor 2A,” “Distributor 2B” and
“Distributor 2C,” who distribute to the three retailers called “Retailer A,” “Retailer B”
and “Retailer C.” The buyer-seller relationships link the buyer-seller dyads together.
The bottlers are linked to Distributor 1; Distributor 1 is both a customer of the bottlers
and a supplier to the level-2 distributors; and these distributors are linked to the
retailers. These supply chain members are responsible for a bottled beverage destined
for human consumption. Approximately, 180 million units flow through these
companies each year.
Researchers’ roles. The researchers played the role of participant-observers since
they were actively involved not only in the different data collection activities but also
in the formulation of the technological scenarios and the organization and conducting
of focus groups. The participant-observer approach, which has been used successfully
in studies of inter-organizational relationships (Nordin, 2006), in the retail industry
(Geiger, 2007) and in a similar RFID setting (Pålsson, 2007), provides several
advantages which are otherwise difficult to attain (Creswell, 2003; Yin, 2003). In
particular, it allowed the researchers to gain access to sensitive and confidential
internal reports, strategic documents and detailed written operational procedures. It
also provided a unique understanding of the supply chain which only someone “from
the inside” can acquire after a certain immersion. For example, the researchers required
several meetings to understand the companies’ idiosyncratic expressions and
references, which in a sense constituted a unique language for which a short dictionary
was created to facilitate later interactions during the study. This approach also led to
additional insights and understanding that contributed to a much better interpretation
of the field data. It generally falls in the realm of collaborative action research
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(Miles and Huberman, 1994) as respondents on the project were constantly briefed on
new findings and would jointly determine the next stages of the research project.
Data collection
The collected data consisted of structured, semi-structured and non-structured
interviews with 52 individuals from ten functional teams; focus groups with several
managers of the same company and with several companies of the supply chain;
on-site visits of the factory, warehouse and retail locations; multiple on-site
observations for process mapping and time-and-motion studies also involving
videos of interviews and of work being performed; personal memos and field notes;
internal reports and other documents such as debriefing notes. The research followed
the steps outlined in earlier work to determine the impact of RFID in a supply chain
(Lefebvre et al., 2006). This was done to assist in data collection and adds to the validity
of the construct (Yin, 2003). The process approach, which is central to this tool, has
already been used in previous RFID studies (Lefebvre et al., 2005; Subirana et al., 2003)
and is consistent with the study of buyer-seller relationships (Izquierdo and
Cillán, 2004).
Reliability of the data was ensured by having several researchers collect data
individually and in groups. A total of ten researchers were involved at one time or
another during the study. After each event, personal notes were written and compared
and consensus was reached. Both qualitative and quantitative data were collected and
triangulated through several methods. The data collection process was highly iterative
and lasted until the information derived became redundant and saturation was reached
(Glaser and Strauss, 1967). This lengthy process of moving back and forth between
data collection, coding and analysis spanned three years from spring 2004 to 2007.
Data coding and analysis
Field notes were individually transcribed and coded as soon as possible after being
taken. Coding was compared among the researchers and, once adequate, was centrally
stored with the raw data. For the purpose of this specific study, the researchers
extracted all data pertaining to buyer-seller relationships. This was done by extracting
from the raw and coded data all information that contained the following elements:
.
words and codes relating to “customer;”
.
words and codes relating to “supplier;”
.
all aspects pertaining to trading partners; and
.
all aspects pertaining to their relationships with one another.
This information was then clustered into key issues or categories in a manner inspired
by studies using similar methods in similar settings (Geiger, 2007; Lee, 2001). The
analysis consisted of within- and between-case exploratory analysis (Miles and
Huberman, 1994). The resulting categories indicate how RFID is linked to buyer-seller
relationships. They were agreed upon by the senior researchers, who were present
throughout the entire study, and are supported by both field data and theoretical
generalization (Hillebrand et al., 2001). Respondent quotes, examples from observation
and anecdotes are provided to support the categories that are presented in the findings.
In the conclusion of this paper, content analysis is undertaken to clarify how these
categories influence the key buyer-seller relationship dimensions presented in Table I.
The RFID scenario retained
The technological scenario retained for the proposed RFID infrastructure was
validated with senior RFID specialists. Its technical feasibility was tested and a
simulation with real-life data was conducted using a working laboratory proof of
concept (Bendavid et al., 2006).
The study used Alien M tags, which are passive write-many read-many Electronic
Product Code (EPC) Class 1 Generation 2 RFID labels that operate at 915 MHz and are
commonly referred to as Gen2 UHF tags. The information contained within the tag is
the product description, lot number, quantity in pallet, order number, case
identification and pallet identification when appropriate. These labels can be affixed
to any packaging unit, such as a bottle, a case or a pallet. The readers used are Symbol
XR400 attached to AN400 high-performance antennas, Symbol MC9060R handheld
readers and Symbol RD5000 mobile readers positioned at strategic locations
throughout the supply chain, such as the entry and exit points, as well as on the
forklifts. The trucks can interrogate the contents of their shipments and transmit this
information in real time using a reader connected to a wireless network. The study
assumes perfect readability of the RFID tags and an ideal transmission environment
where radio interference is at a minimum. It also assumes perfect signal propagation in
the near and far field, thus making dual tagging unnecessary (Harmon, 2006). This
implies that the antenna can scan an item when it is packaged into cases and pallets.
By making this assumption, we are eliminating the problem of “tag shadowing”
(Maloni and DeWolf, 2006) which is created when multiple tags are in very close
proximity. The researchers and the participants believed that temporary technical
limitations on RFID should not limit the findings because RFID technology is speedily
evolving towards improved read rates in difficult conditions. For example, UHF tags
can now be used for near-field scanning through liquids, a feat that was not possible
only a few months ago (Desmons, 2006).
Results and discussion
Current processes in the retail supply chain
Figure 1 shows the usual flow of the products among supply chain members (as
indicated on the horizontal axis) under normal conditions. These flows were mapped
by literally following a product though its entire supply chain and by interviewing the
employees who handle the products and their direct supervisors. The higher-level
managers also validated these flows.
Figure 1 also takes into account the level of granularity (as illustrated in the vertical
axis) of the shipping and packaging levels that must be taken into account in the
analysis. In the group of companies studied, the lowest level of granularity is the item
level or bottle. The other levels included in the analysis are the case, pallet and truck
levels.
The numbered boxes in the figure represent the major supply chain processes
through which most products travel to reach the final customer, the consumers. The
processes travel up and down the vertical axis as the product changes shipping and
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Shipping and
packaging
level
Truck
4Transport
Pallet
35Shipping Receiving
14Transport
9Transport
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Figure 1.
The RFID supply chain
flow model depicts the
physical flows in the retail
supply chain
Case
2-Case
packing
Item
(Bottle)
1-Bottling
Bottler A
Bottler B
Bottler C
6Put-away
7A-Pallet
picking
7B-Case
picking
8Shipping
10Receiving
11Put-away
13Shipping
12-Case
picking
15Receiving
16-Instore Inventory
17Merchandising
Distributor 1
Distributor 2A
Distributor 2B
Distributor 2C
Retailer A
Retailer B
Retailer C
18Purchase
Organizations
Consumers
packaging levels. The supply chain process starts at the bottlers, where the
components of the product are assembled as described below:
.
Bottler processes. On a fully automated conveyor belt, the product is assembled
when the beverage is poured into glass bottles. A label with a UPC barcode for
identification purposes is then glued to the bottle (referred to as process “1 –
Bottling” in the lower left-hand corner of Figure 1). At the end of the conveyor
belt, the products are packaged in corrugated boxes that contain barcodes called
shipping container codes (SCC) for identification purposes (process “2 – Case
packing”). These cases are then bundled onto pallets to facilitate their handling.
Next, license plate (LP) barcodes are affixed to the pallets. It should be noted that
UPCs, SCCs and LPs serve the same general purpose but at different tracking
levels. The pallets of identical items are briefly stored in the staging area near the
shipping docks until they are moved into the trucks (process “3 – Shipping”).
The shipment leaves the bottlers and moves on to Distributor 1 (process “4 –
Transport”).
.
Distributor 1 processes. The shipment is unloaded in the staging area near the
receiving docks where the nature and quantities of the packages are verified
manually and by scanning the LPs and the SCCs (process “5 – Receiving”). A
forklift driver then moves the pallet to its appropriate storage rack and confirms
the location and pallet by scanning both (process “6 – Put-away”). The next step
depends upon the order that has been received from the retailer. When the
retailer requests a pallet of a single type of product, the forklift driver simply
removes the pallet while rescanning both the LP and the storage bin to confirm
.
.
that the right product has been chosen (process “7A – Pallet picking”). Normally,
if more than one pallet of the product is available, the forklift driver should pick
the first one that was warehoused rather than the closest one available in the
usual inventory first-in, first-out (FIFO) mode. If, however, the retailers request
different types of products, then a clerk must walk the aisles to pick individual
cases, thus breaking down the pallet into its lower handling units. At this point,
the pallet’s LP is no longer valid as the pallet has lost its integrity. The clerk
scans each case’s SCC to validate that the right product has been picked. When all
cases have been picked, a new pallet is now formed with mixed cases and a new
LP is printed and affixed to the “mixed pallet” (process “7B – Case picking”).
Pallets of various products are deposited in the staging area near the
shipping docks. The pallets’ LPs are scanned as they enter the truck in order to
confirm their identification. Mixed pallets undergo the additional step of being
manually verified by a controller beforehand (process “8 – Shipping”).
The shipment leaves Distributor 1 by truck and is tracked through global
positioning system until it arrives at the second-level distributors (process
“9 – Transport”).
Distributor 2 processes. The pallets are unloaded from the truck and quantities
are manually verified and a handwritten paper-based report is generated
(process “10 – Receiving”). The pallet is taken from the staging area and
deposited in the warehouse. The clerk scans the put-away label and enters the
storage rack information into the warehouse management system (WMS)
(process “11 – Put-away”). Based on the order to fulfill, the WMS informs the
clerk where to find the case to pick through a voice interface. Picking is done in
FIFO mode and performed with the equivalent of a big shopping cart. The
process was described during the on-site interviews as “doing the groceries for
the grocery stores”; in fact, the purchase order presents the disparities of a
“shopping list” (process “12 – Case picking”). At this point, the odd shapes of
various items on the pallet make its general form less rectangular and more
incongruent. It is nearly impossible to determine with the naked eye the content
at the center of the heavily shrink-wrapped pallet as it waits to enter the truck
(process “13 – Shipping”). The shipment leaves the distributor and may make
several stops and travel several hundred kilometers before reaching its
destination at the different retailers (process “14 – Transport”).
Retailer processes. Once the shipment arrives at the retailer, it is unbundled to the
case level in order to manually verify that its content matches with the purchase
order. This is very time-consuming due to disparate items (process “15 –
Receiving”). The products are then kept in the back-store (process “16 – In-store
inventory”) until a clerk is available to move it to the front-store as shelf space is
made available. The product finally returns to its initial item level as it is
displayed (process “17 – Merchandising”) for the consumers who may decide to
buy it. The UPC is scanned during checkout (process “18 – Purchase”).
This model was developed in order to provide a visual representation of relevant RFID
information in a supply chain environment. The following section presents our
findings on the influence of RFID on buyer-seller relationships in a supply chain
environment, referring to the Figure 1 and its description as background.
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Key issues
The adoption of RFID raises a number of key issues that affect or are affected by
buyer-seller relationships. These are discussed in the following paragraphs.
RFID benefits travel downstream to customers as externalities. Once a product is
tagged, it can be read at any later time. Therefore, later processes also benefit from the
RFID tag as it travels down the supply chain. If the bottler affixes a tag during a
manual slap and ship operation, which consists of simply having an employee place a
tag by hand on the product immediately before it ships out, as shown in Figure 2
(process “3 – Shipping”), then the same tag can also be read by Distributors 2 when the
pallet is placed in storage (process “11 – Put-away”). The RFID-enabled process is
more efficient because it reduces errors caused by manual verification. The
second-level distributors benefit from information within RFID tags whose costs were
covered by the bottlers. The benefits thus diffuse to subsequent processes after tagging
is performed until, as will be explained in the next paragraph, the shipping and
packaging level declines below the level at which the tagging was performed. In the
current illustration, where tagging is performed at process “3 – Shipping,” the benefits
cease to propagate through the supply chain when either process “7B – Case picking”
or process “12 – Case picking” is performed.
RFID benefits can also travel upstream to suppliers with the EPC network. This
second issue is complementary to the first issue, which stated that benefits travel
downstream, and can only be realized if RFID data reside in a centralized location to
which all supply chain members have access. This is the case when using the EPC
network rather than having the data reside exclusively in the tag itself: RFID-related
information can then travel anywhere in the supply chain from the point where the tag
is scanned and benefits derived from this shared information can be obtained
throughout the supply chain. For example, when an item is sold at the retailer
(process “18 – Purchase”), the centralized database is updated and the bottlers can
Legend
Shipping and
packaging
level
Truck
Tagging occurs here
4Transport
9Transport
14Transport
Tag can be read
11RFID optimized process
Put-away
Figure 2.
Propagation of RFID
benefits when tagging
occurs at process
“3 – shipping” and if
process “7A – pallet
picking” is performed
instead of process
“7B – case picking”
Pallet
35-ReceShipping iving
Case
2-Case
packing
6Put-away
7A-Pallet
picking
7B-Case
picking
810Shipping Receiving
11Put-away
1315Shipping Receiving
12-Case
picking
Item
1-Bottling
(Bottle)
Bottler A
Bottler B
Bottler C
16-In-store
Inventory
17Merchandising
Distributor 1
Distributor 2A
Distributor 2B
Distributor 2C
Retailer A
Retailer B
Retailer C
18Purchase
Organizations
Consumers
instantaneously be told to replenish the store. Receiving the information directly from
the retailer and at the exact moment when it occurs instead of letting it travel through
several layers of companies increases information flow. Previous research has already
demonstrated that this can reduce the “bullwhip effect” (Paik and Bagchi, 2007) whose
ripple effects on demand can cause inefficient work orders (Disney et al., 2004) for the
manufacturers. Currently, the bottlers have no direct view of the items at the retailer
and produce to capacity regardless of consumer demand. Another example raised by
participants in the field was discussed at length. The supplier would benefit from the
visibility of its own shipment when it is received at the customer’s receiving dock. The
bottlers have unsettled claims with Distributor 1 because of shrinkage. Shrinkage
occurs when quantities decrease between two specific control points. It may be due to
breakage, misplaced items, poor bookkeeping or even theft (Levy et al., 2004). If the
merchandise is scanned as it leaves their location and rescanned once it arrives at
Distributor 1, the two quantities can be compared and reconciled instantaneously. This
reduces shrinkage and improves cash flows by allowing billing to be done more
quickly.
The tagging level influences the supply chain benefits. What makes an RFID project
different from other IOS initiatives is that the information is physically linked to the
products. As such, when products aggregate or break down, the information tied to an
item can be increased or lost. If tag placement occurs at the case level, such as during
process “2 – Case packing” or process “7B – Case picking,” then tracking can still
occur at the pallet and truck level because the case entity which was tagged still exists.
It is simply aggregated into a more encompassing unit. Conversely, when tracking is
performed at the pallet level by affixing a tag at process “3 – Shipping,” then tracking
is lost if process “7B – Case picking” is performed because the pallet is broken down
into its individual cases (Figure 2). Since the tag was on the pallet and the pallet is now
broken down, it thus no longer exists and the tracking is lost.
Empirical evidence supports this statement. In fact, participants in the focus
groups identified this issue when discussing the benefits of managing inventory levels
at process “16 – In-store inventory.” A vice-president mentioned that if tracking
was done only at the case level, inventories would be inaccurate as soon as the case
was opened. Sometimes only half of the bottles are placed on the shelf and the box
returns to the backroom half full. The tag on the case would not let clerks know how
many bottles were removed and they might assume it is still full. Tagging at the item
level would eliminate this problem. Additional empirical evidence to this effect comes
from the simulation of the technological scenarios. The initial scenario envisioned
tagging at the pallet level in the bottlers’ facilities during process “3 – Shipping.”
However, Distributor 1 experiences most RFID benefits at the case level during
process “7B – Case picking,” which is one level lower than in the initial scenario.
Because tagging at process “3 – Shipping” provided no benefits to process “7B – Case
picking,” it became clear that the level of granularity for tagging influences the
benefits.
There is a strong tendency to push tagging upstream. Since later processes benefit
from the RFID tag after it has been affixed, it is logical to push the tagging back as
early as possible. For example, it would not make much sense to choose to tag the
products during process “7A – Pallet picking” in order to benefit from RFID at process
“8 – Shipping” when the same tag could be affixed at the same shipping and packaging
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level during process “5 – Receiving” and thus also benefit process “6 – Put-away” and
process “7A – Pallet picking”. This would involve the same tag and the same readers
on the forklifts and dock doors. No additional hardware investment would be
necessary in order to benefit from RFID in these earlier processes.
A lot of time and effort was spent in the field study to optimize case picking. For
Distributors 2A, 2B and 2C to benefit from RFID during process “12 – Case
picking,” only two tagging options exist: Distributor 1 must affix the tags during
process “7B – Case picking” or the bottlers must affix them during process “2 –
Case packing” (Figure 3). In both cases, the supplier or the supplier’s supplier must
tag the case for the benefit of the level-2 distributors. This demonstrates how
organizations will tend to push the tagging to their suppliers to maximize their
own RFID benefits. The same occurs at the pallet level. During the field study, it
was demonstrated that Distributor 1 would have a more efficient process during
process “5 – Receiving” if the pallets came in already tagged since less manipulation
would be necessary to verify quantities and content at the receiving dock: this
would therefore translate into fewer employees required at the dock. However,
for Distributor 1 to benefit from RFID during this process, the tagging must be
performed before the pallets arrive. This implies that tagging must be performed by
the bottler during process “3 – Shipping” or by the transport company during
process “4 – Transport.”
There is a tendency to push tagging back to the bottlers. Another factor besides
process optimization contributes to pushing the tagging back to the bottlers.
Distributor 1 indicated that if it were to attach the tags itself, the process would be
manual because the conveyor belt is only at the bottler’s location. Manual intervention
proved to be error-prone on more than one occasion during the study. In fact, reducing
manual intervention is an important RFID benefit for the respondents. They believe it
is up to the bottler to program and affix the tags on the products while they are on the
Legend
Shipping and
packaging
level
Truck
Tagging occurs here
4Transport
9Transport
14Transport
Tag can be read
11Put-away RFID optimized process
Pallet
Figure 3.
In order for second-level
distributors to optimize
process “12 – Case
picking,” tagging must
occur either at Distributor
1 or at the bottlers
35Shipping Receiving
Case
2-Case
packing
Item
(Bottle)
1-Bottling
6Put-away
7A-Pallet
picking
7B-Case
picking
108Shipping Receiving
151113Put-away Shipping Receiving
12-Case
picking
16-In-store
Inventory
17Merchandising
18Purchase
Organizations
Bottler A
Bottler B
Bottler C
Distributor 1
Distributor 2A
Distributor 2B
Distributor 2C
Retailer A
Retailer B
Retailer C
Consumers
automated assembly line in order to reduce the introduction of errors in the supply
chain’s data. A manager at Distributor 1 said: “The Bottlers should put on the tag,
because we don’t want to introduce errors, which can be costly. The other day,
40-ounce bottles sold as 26-ounce bottles because of errors between the SCC on the box
and the UPC on the bottle.”
Two other potential factors were initially thought to favor having the bottlers tag
the products. However, validating these factors with the respondents revealed that this
was not the case. Specifically, it was first proposed by the researchers that another
advantage of pushing the tagging to the bottlers could be to unload the cost of the
RFID tag onto other supply chain members. When asked if this was an advantage for
them, respondents answered that it was not because “our supplier will just end up
charging it back to us one way or another.” Secondly, our model indicates that more
benefits are gained if tagging occurs at lower levels (Figure 2). As such, tagging at the
item level should provide benefits for all the processes in the supply chain. Because this
can only be performed by the bottlers at process “1 – Bottling,” bottlers would
eventually be pressured by all the other supply chain companies. However, this was
not the case in our study. Both Distributor 1 and the level-2 distributors were
concerned with optimizing processes at the case level, not the item level. Indeed, the
model shows that these companies do not handle the goods at this level. As the cost of
tags goes down, perhaps the retailers will demand that the bottlers tag their items. Item
tagging implies 12 times more tags than case tagging because each case contains
12 bottles. According to our study, based on current pricing the cost of the RFID
system would outweigh the benefits.
The efficiency of inter-organizational processes can be improved. Many observed
inefficiencies in the inter-organizational processes could be resolved by RFID. For
example, shrinkage was recognized as a major irritant throughout the entire supply
chain studied. Much shrinkage occurs between the time a product was accounted for
at shipping and its arrival at the customer’s receiving dock. However, the exact cause
and location of shrinkage cannot be proven, and so the supplier has the burden of
proof and regularly absorbs the cost of missing products. This constitutes a major
irritant for all members of the supply chain. Based on our fieldwork, RFID has the
potential to provide the necessary proof to indicate when the shrinkage occurred. By
removing this uncertainty, unfounded accusations, feelings of being manipulated and
arguments can be reduced, consequently improving the relationships between
customer and supplier. Reducing shrinkage is seen as the major RFID benefit for
Distributor 1: “the day when you’ll be able to validate the content of a pallet at the case
level during shipment to a customer is the day we will go forward with the RFID
project.”
Numerous additional inter-organization processes can also be improved with RFID.
The retailer has been known to return truckloads of shipments although only a single
pallet was missing or the shipment arrived only five minutes late. These problems,
which strain the relationship between organizations “are the worst and are
frustrating,” as mentioned by one dock worker. Errors due to an inefficient
verification process can be avoided with RFID.
RFID cannot compensate for lack of trust, which is an a priori condition. Some level
of mistrust was present throughout the entire supply chain as exemplified by the
following comments:
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It’s funny how claims are more frequent on higher-ticket items.
Our customers are trying to make some money off of us [. . .] by pushing unfounded claims,
but if they receive a case that wasn’t on their order then we won’t hear about it [because they
will keep it].
When the proposed RFID solution was presented, the respondents quickly and often
tried to see how the system could potentially be manipulated by their trading partners.
Comments such as:
Can the system be tricked with cell phones, for example?
The supplier could decide to put on two tags per case in order to double-charge us.
They could close the reader when they receive certain products to avoid being billed for them.
Clearly indicate a lack of trust. An RFID system will never be full-proof and cannot
compensate for a lack of trust.
RFID is a supply chain management IOS. The influence of RFID goes beyond the
boundaries of any specific organization as information sharing can impact every
member of the supply chain. RFID represents an IOS technology that piggybacks on
products as they travel through the entire supply chain. As such, it has the potential to
be a powerful SCM technology. This was emphasized by one senior executive from
Distributor 1: “This RFID project is truly the first initiative to move throughout our
whole supply chain and impact our customers as well as our suppliers.”
Aligning the supply chain to a common project is therefore seen as a prerequisite for
implementing RFID. A high-level director mentioned that gaining buy-in from
suppliers is essential: “We need to be able to demonstrate to our suppliers what their
benefits will be for them to support our RFID initiative.” In another company
(Distributor 2A), alignment among the supply chain members is believed to require
strong leadership that a powerful firm could provide.
Conclusion
The interplay between RFID and buyer-seller relationships in a supply chain is an
intricate phenomenon. Based on the empirical evidence from the ten firms involved in
the field study, the following summary observations can be made:
.
Communication/information sharing. Access to shared information is at the
heart of an RFID initiative. The information related to a specific product is
shared among trading partners as the product travels downstream through the
supply chain. Information can also travel upstream if the EPC network is used.
Currently, the information related to case level quantities and shrinkage interests
the respondents the most.
.
Cooperation. The desire to make a shared RFID supply chain project a reality clearly
necessitates a deep desire for cooperation from all members of the supply chain.
Respondents were aware of this and were constantly looking for ways to
demonstrate the shared benefits of the system to encourage cooperation. Once the
technological infrastructure is in place, it should also facilitate supply chain
initiatives, thereby enabling the supply chain to work as a more collaborative team.
.
Trust. An RFID system has the potential to reduce a major part of the shrinkage
that has caused a lack of trust among some of the organizations in the study.
.
.
.
.
.
By acting as a constant verification system, it provides accountability for quality
and volumes of shipments. Shrinkage will tend to diminish, thus making the
trading partners more trustworthy. However, as demonstrated in the field, an
initial inherent level of trust that partners will not try to bypass the RFID system
is necessary if it is to be effective.
Commitment. The companies included in the proof of concept were identified and
chosen by the respondents as being long-term partners. Implementing the RFID
system will initially necessitate a considerable investment in specific
investments. A portion of this investment therefore represents sunk costs that
will not be recovered should the relationship end. By investing in the system,
these companies expect the relationship to last. Additionally, once RFID is
implemented, the relationship should be more profitable. The natural tendency
would be to build on the relationship as long as possible in order to recoup the
initial investments and increase profits.
Relationship value. Additional information will be accessible to members of the
supply chain who use RFID together. Shrinkage in the supply chain will be
reduced. New opportunities for collaboration will increase the value provided by
customers and suppliers who use RFID. The relationships with trading partners
who use RFID will therefore be increased when compared to those with partners
who do not use the technology.
Power imbalance and interdependence. Both suppliers and buyers feel that an
RFID initiative will give the other party more power. Suppliers feel that an
investment and the associated sunk costs may lock them in vis-à-vis the buyers.
Buyers feel that those suppliers who use RFID technology will gain a more
competitive position.
Adaptation. Some organizations that are lured by the benefits that RFID
promises may use their power to influence their trading partners to adapt to the
new RFID requirements. As RFID technology improves, there will be a trend to
push the technology further back and further down in the supply chain. As this
happens, the company in the role of manufacturer is likely to be increasingly
pressured by its trading partners to adopt RFID. In our study, the retained RFID
scenario was developed by minimizing the required adaptation so that the
technological initiative be the least disruptive possible.
Conflict. The ten organizations in this study are aware of potential conflicts
related to RFID adoption and use positive reinforcements to get their trading
partners to join the RFID initiative. If the trading partner does not want to go in
this direction, pressure may eventually be applied. The situation could
potentially create conflict in the buyer-seller relationship.
Some deep practical implications arise out of these findings. Wal-Mart’s initiative acted
as the flagship for RFID as an IOS project but now other supply chains are currently
evaluating or going forward with similar RFID initiatives. It is important that these
companies be aware of the strategic role of supplier-buyer relationships as both crucial
antecedents that shape RFID infrastructure and a consequence of RFID
implementation. Furthermore, the continual improvement of RFID technology will
tend to strain relationships among supply chain members since the use of power to
RFID and
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urge adaptation may lead to conflict. RFID technology brings business partners one
step closer to the vision of aligning their supply chain and raising the competition to
the level of “chain versus chain,” thus moving closer to acquiring a collaborative
advantage. For researchers, the results point to the importance of considering the
different layers of the supply chain when investigating collaborative technologies such
as RFID, relationships between business partners, or competitive positioning. This is
particularly interesting for academic fields such as SCM, industrial marketing and
diffusion of innovation research.
Further research
The results presented in this paper should be interpreted in the light of certain
limitations. First, the observer’s role is intermingled in this field research with that of
the participant. This has the potential risk of influencing the participants by
advocating a particular position, the risk of supporting a group of individuals when
neutrality is required, and the risk of the participant role’s requiring too much attention
for good observations to take place (Yin, 2003). The researchers were aware of those
potential pitfalls and tried to remain as neutral as possible. Second, the technological
scenario is based on current improvement trends in the RFID industry. More
specifically, perfect read rates are an optimistic extrapolation of today’s state-of-the art
technology but this is seen as a temporary technical obstacle. Third, the study was
conducted in a single supply chain in the retail industry, which allowed us to gain
in-depth knowledge of a complex phenomenon.
Future research could attempt to validate these findings in other supply chains in
other industries. Moreover, future studies could delve deeper into this phenomenon.
For example, a longitudinal study of an RFID initiative implemented in a supply chain
could indicate whether relationship quality diminishes in the short-term only to
increase later, as has been found to be the case with barcode and EDI implementations.
It would also be interesting to identify the RFID adoption antecedents and the
contributing factors that make trading partners want to either collaborate or resist.
References
Abernathy, F.H., Dunlop, J.T., Hammond, J.H. and Weil, D. (2000), “Retailing and supply chains
in the information age”, Technology in Society, Vol. 22 No. 1, pp. 5-31.
Anderson, E. and Weitz, B. (1989), “Determinants of continuity in conventional industrial
channel dyads”, Marketing Science, Vol. 8 No. 4, pp. 310-23.
Angeles, R. and Nath, R. (2000), “An empirical study of EDI trading partner selection criteria in
customer-supplier relationships”, Information & Management, Vol. 37 No. 5, pp. 241-55.
Angeles, R., Nath, R. and Hendon, D.W. (1998), “An empirical investigation of the level of
electronic data interchange (EDI) implementation and its ability to predict EDI system
success measures and EDI implementation factors”, International Journal of Physical
Distribution & Logistics Management, Vol. 28 Nos 9/10, pp. 773-93.
Attaran, M. (2007), “RFID: an enabler of supply chain operations”, Supply Chain Management:
An International Journal, Vol. 12 No. 4, pp. 249-57.
Bendavid, Y., Fosso Wamba, S. and Lefebvre, L.A. (2006), “RFID enabled supply chain
applications in B2B eCommerce environment: a proof of concept”, Proceedings of the
8th International Conference on Electronic Commerce (ICEC’06) Fredericton, Canada,
August 14-16.
Boeck, H., Bendavid, Y., Lefebvre, L-A. and Lefebvre, É. (2006), “The influence of the buyer-seller
relationship on e-commerce pressures: the case of the primary metal industry”,
Proceedings of the 8th International Conference on Electronic Commerce (ICEC’06)
Fredericton, Canada, August 14-16.
Bottani, E. and Rizzi, A. (2008), “Economical assessment of the impact of RFID technology and
EPC system on the fast-moving consumer goods supply chain”, International Journal of
Production Economics, Vol. 112 No. 2, pp. 548-69.
Boyle, B.A. (2001), “The internet in industrial channels: its use in (and effects on) exchange
relationships”, Journal of Business & Industrial Marketing, Vol. 16 No. 6, pp. 452-69.
Brennan, D.R., Turnbull, P.W. and Wilson, D.T. (2003), “Dyadic adaptation in
business-to-business markets”, European Journal of Marketing, Vol. 37 Nos 11/12,
pp. 1636-65.
Byrd, T.A. and Davidson, N.W. (2003), “Examining possible antecedents of IT impact on the
supply chain and its effect on firm performance”, Information & Management, Vol. 41
No. 2, pp. 243-55.
Cantwell, D. (2006), “RFID R&D opportunities and the supply chain”, paper presented at RFID
Academic Convocation at MIT, Cambridge, MA, January 23-24.
Carr, A.S. and Smeltzer, L.R. (2002), “The relationship between information technology use and
buyer-supplier relationships: an exploratory analysis of the buying firm’s perspective”,
IEEE Transactions on Engineering Management, Vol. 49 No. 3, pp. 293-304.
Chae, B., Yen, H.R. and Sheu, C. (2005), “Information technology and supply chain collaboration:
moderating effects of existing relationships between partners”, IEEE Transactions on
Engineering Management, Vol. 52 No. 4, pp. 440-8.
Chen, I.J. and Paulraj, A. (2004), “Towards a theory of supply chain management: the constructs
and measurements”, Journal of Operations Management, Vol. 22 No. 2, pp. 119-50.
Chwelos, P., Benbasat, I. and Dexter, A.S. (2001), “Research report: empirical test of an EDI
adoption model”, Information Systems Research, Vol. 12 No. 3, pp. 304-21.
Clarke, R. (2001), “Electronic data interchange (EDI): an introduction”, Business Credit, October,
pp. 23-5.
Correia, Z. and Wilson, T.D. (1997), “Scanning the business environment for information:
a grounded theory approach”, Information Research, Vol. 2 No. 4, available at: http://
informationr.net/ir/2-4/paper21.html (accessed April 2, 2007).
Creswell, J.W. (2003), Research Design: Qualitative, Quantitative and Mixed Approaches, 2nd ed.,
Sage, Thousand Oaks, CA.
Croom, S.R. (2000), “The impact of web-based procurement on the management of operating
resources supply”, Journal of Supply Chain Management, Vol. 36 No. 1, pp. 4-13.
Dai, Q. and Kauffman, R. (2001), “Business models for internet based e-procurement systems and
B2B electronic markets: an exploratory assessment”, 34th Annual Hawaii International
Conference on System Sciences (HICSS-34), Vol. 7, p. 7004.
Deeter-Schmelz, D.R. and Kennedy, K.N. (2004), “Buyer-seller relationships and information
sources in an e-commerce world”, Journal of Business & Industrial Marketing, Vol. 19 No. 3,
pp. 188-96.
Desmons, D. (2006), “UHF Gen 2 for item-level tagging”, paper presented at RFID World,
available at: www.impinj.com/files/Impinj_ILT_RFID_World.pdf (accessed June 4, 2007).
Disney, S.M., Naim, M.M. and Potter, A. (2004), “Assessing the impact of e-business on supply
chain dynamics: supply chain management”, International Journal of Production
Economics, Vol. 89 No. 2, pp. 109-18.
RFID and
buyer-seller
relationships
455
IJRDM
36,6
456
Dupuy, C.A. and Vlosky, R.P. (2000), “Electronic data interchange and buyer-supplier
relationships”, Working Paper No. 40, Louisiana Forest Products Laboratory, Louisiana
State University Agricultural Center, Baton Rouge, LA.
Eisenhardt, K.M. (1989), “Building theories from case study research”, Academy of Management
Review, Vol. 14 No. 4, pp. 532-50.
Fernández, W.D., Lehmann, H.P. and Underwood, A. (2002), “Rigour and relevance in studies of
IS innovation: a grounded theory methodology approach”, Proceedings of the Xth
European Conference on Information Systems ECIS 2002: Information Systems and the
Future of the Digital Economy, Gdansk, Poland.
Fiorito, S.S., Giunipero, L.C. and Yan, H. (1998), “Retail buyers’ perceptions of quick response
systems”, International Journal of Retail & Distribution Management, Vol. 26 No. 6,
pp. 237-46.
Fogarty, K. (2004), “RFID: an offer you can’t refuse”, Baseline, available at: www.baselinemag.
com/article2-0,1540,1542214,00.asp (accessed March 29, 2007).
Geiger, S. (2007), “Exploring night-time grocery shopping behaviour”, Journal of Retailing and
Consumer Services, Vol. 14 No. 1, pp. 24-34.
Gemünden, H.G., Holzle, K. and Müller, T.A. (2003), “The impact of IT-based cooperation on
industrial relationship management”, paper presented at the 19th IMP Conference in
Lugano.
Glaser, B.G. and Strauss, A.L. (1967), The Discovery of Grounded Theory: Strategies for
Qualitative Research, Aldine Publishing Company, Chicago, IL.
Gomes-Casseres, B. (1994), “Group versus group – how alliance networks compete”, Harvard
Business Review, Vol. 72 No. 4, pp. 62-70.
Gulledge, T. (2002), “B2B emarketplaces and small- and medium-sized enterprises”, Computers in
Industry, Vol. 49 No. 1, pp. 47-58.
Harmon, C. (2006), “The RFID item-level tagging debate: UHF, HF or something new?”, RFID
Connections (AIM Global), available at: www.aimglobal.org/members/news/templates/rw.
asp?articleid ¼ 1060&zoneid ¼ 42 (accessed April 2, 2007).
Hartmann, E., Gemünden, H.G. and Ritter, T. (2002), “The fit between purchase situation and
B2B e-marketplaces and its impact on relationship success”, paper presented at the 18th
Annual IMP Conference at the Dijon-Burgundy Graduate School of Management.
Hillebrand, B., Kok, R.A.W. and Biemans, W.G. (2001), “Theory-testing using case studies:
a comment on Johnston, Leach, and Liu”, Industrial Marketing Management, Vol. 30 No. 8,
pp. 651-7.
Hingley, M., Taylor, S. and Ellis, C. (2007), “Radio frequency identification tagging: supplier
attitudes to implementation in the grocery retail sector”, International Journal of Retail &
Distribution Management, Vol. 35 No. 10, pp. 803-20.
Howard, M., Vidgen, R. and Powell, P. (2006), “Automotive e-hubs: exploring motivations and
barriers to collaboration and interaction”, The Journal of Strategic Information Systems,
Vol. 15 No. 1, pp. 51-75.
Iacovou, C.L., Benbasat, I. and Dexter, A.S. (1995), “Electronic data interchange and small
organizations: adoption and impact of technology”, MIS Quarterly, Vol. 19 No. 4,
pp. 465-85.
Iskandar, B.Y., Kurokawa, S. and LeBlanc, L.J. (2001), “Adoption of electronic data interchange:
the role of buyer-supplier”, IEEE Transactions on Engineering Management, Vol. 48 No. 4,
pp. 505-17.
Izquierdo, C.C. and Cillán, J.G. (2004), “The interaction of dependence and trust in long-term
industrial relationships”, European Journal of Marketing, Vol. 38 No. 8, pp. 974-94.
Johnston, H.R. and Vitale, M.A. (1988), “Creating competitive advantage with interorganizational
information systems”, MIS Quarterly, Vol. 12 No. 2, pp. 153-65.
Kärkkäinen, M. and Holmström, J. (2002), “Wireless product identification: enabler for handling
efficiency, customisation and information sharing”, Supply Chain Management:
An International Journal, Vol. 7 No. 4, pp. 242-52.
Lambert, D.M., Cooper, M.C. and Pagh, J.D. (1998), “Supply chain management: implementation
issues and research opportunities”, International Journal of Logistics Management, Vol. 9
No. 2, pp. 1-20.
Lancastre, A. and Lages, L.F. (2006), “The relationship between buyer and a B2B e-marketplace:
cooperation determinants in an electronic market context”, Industrial Marketing
Management, Vol. 35 No. 6, pp. 774-89.
Lee, C.S. (2001), “Modeling the business value of information technology”, Information &
Management, Vol. 39 No. 3, pp. 191-210.
Leek, S., Naude, P. and Turnbull, P.W. (2003), “Interactions, relationships and networks in a
changing world”, Industrial Marketing Management, Vol. 32 No. 2, pp. 87-90.
Lefebvre, L.A., Lefebvre, É., Fosso Wamba, S. and Boeck, H. (2005), “Impacts of RFID on
warehouse management in the retail industry”, International Association of Management
of Technology, Proceedings of IAMOT, Vienna.
Lefebvre, L.A., Lefebvre, É., Bendavid, Y., Fosso Wamba, S. and Boeck, H. (2006), “RFID as an
enabler of b-to-b e-commerce and its impact on business processes: a pilot study of a
supply chain in the retail industry”, Proceedings of the 39th Annual Hawaii International
Conference on System Sciences (HICSS’06).
Lehmann, H.P. (2000), “Towards a grounded theory of information systems for the international
firm: critical variables and causal networks”, paper presented at ECIS 2000 – The 8th
European Conference on Information Systems, Vienna.
Lekakos, G. (2007), “Exploiting RFID digital information in enterprise collaboration”, Industrial
Management & Data Systems, Vol. 107 No. 8, pp. 1110-22.
Levy, M., Weitz, B.A. and Beattie, S. (2004), Retailing Management (Canadian Edition), 1st ed.,
McGraw-Hill Ryerson Higher Education, Toronto.
LoPrinzi, S. (2006), RFID: Technology, Applications and Market Potential (Report ID: IAS020A),
BCC Research, Norwalk, CT.
MacDonald, J.B. and Smith, K. (2004), “The effects of technology-mediated communication on
industrial buyer behavior”, Industrial Marketing Management, Vol. 33 No. 2, pp. 107-16.
Maloni, M. and DeWolf, F. (2006), “Understanding radio frequency identification (RFID) and its
impact on the supply chain”, Penn State Behrend – RFID Center of Excellence, available at:
www.ebizitpa.org/Education/Operations/RFID/RFIDresearchPSU.pdf (accessed April 2,
2007).
Manthou, V. and Vlachopoulou, M. (2001), “Bar-code technology for inventory and marketing
management systems: a model for its development and implementation”, International
Journal of Production Economics, Vol. 71 Nos 1/3, pp. 157-64.
Markus, M.L. and Christiaanse, E. (2003), “Adoption and impact of collaboration electronic
marketplaces”, Information Systems and E-business Management, Vol. 1 No. 2, pp. 139-55.
Miles, M.B. and Huberman, A.M. (1994), Qualitative Data Analysis: An Expanded Sourcebook,
2nd ed., Sage, Thousand Oaks, CA.
RFID and
buyer-seller
relationships
457
IJRDM
36,6
458
Mills, J., Schmitz, J. and Frizelle, G. (2004), “A strategic review of ‘supply networks’”,
International Journal of Operations & Production Management, Vol. 24 No. 10, pp. 1012-36.
Murtaza, M.B., Gupta, V. and Carroll, R.C. (2004), “E-marketplaces and the future of supply chain
management: opportunities and challenges”, Business Process Management Journal,
Vol. 10 No. 3, pp. 325-35.
Nordin, F. (2006), “Identifying intraorganisational and interorganisational alliance conflicts –
a longitudinal study of an alliance pilot project in the high technology industry”, Industrial
Marketing Management, Vol. 35 No. 2, pp. 116-27.
O’Callaghan, R., Kaufmann, P.J. and Konsynski, B.R. (1992), “Adoption correlates and share
effects of electronic data interchange systems in marketing channels”, Journal of
Marketing, Vol. 56 No. 2, pp. 45-56.
Paik, S-K. and Bagchi, P.K. (2007), “Understanding the causes of the Bullwhip effect in a supply
chain”, International Journal of Retail & Distribution Management, Vol. 35 No. 4,
pp. 308-24.
Palmatier, R.W., Dant, R.P., Grewal, D. and Evans, K.R. (2006), “Factors influencing the
effectiveness of relationship marketing: a meta-analysis”, Journal of Marketing, Vol. 70
No. 4, pp. 136-53.
Pålsson, H. (2007), “Participant observation in logistics research: experiences from an RFID
implementation study”, International Journal of Physical Distribution & Logistics
Management, Vol. 37 No. 2, pp. 148-63.
Power, D.J. and Sohal, A.S. (2002), “Implementation and usage of electronic commerce in
managing the supply chain: a comparative study of ten Australian companies”,
Benchmarking: An International Journal, Vol. 9 No. 2, pp. 190-208.
Pramatari, K. (2007), “Collaborative supply chain practices and evolving technological
approaches”, Supply Chain Management: An International Journal, Vol. 12 No. 3,
pp. 210-20.
Puschmann, T. and Alt, R. (2005), “Successful use of e-procurement in supply chains”, Supply
Chain Management: An International Journal, Vol. 10 No. 2, pp. 122-33.
Ramaseshan, B. (1997), “Attitudes towards use of electronic data interchange in industrial
buying: some Australian evidence”, Supply Chain Management: An International Journal,
Vol. 2 No. 4, pp. 149-57.
Rao, S. and Perry, C. (2003), “Convergent interviewing to build a theory in under-researched
areas: principles and an example investigation of internet usage in inter-firm
relationships”, Qualitative Market Research: An International Journal, Vol. 6 No. 4,
pp. 236-47.
Ratnasingam, P. (2005), “Trust in inter-organizational exchanges: a case study in business to
business electronic commerce”, Decision Support Systems, Vol. 39 No. 3, pp. 525-44.
Reekers, N. and Smithson, S. (1994), “EDI in Germany and the UK: strategic and operational use”,
European Journal of Information Systems, Vol. 3 No. 3, pp. 120-30.
Roberti, M. (2006), “RFID best practices”, RFID Journal, available at: www.rfidjournal.com/
article/articleview/2099-1/2/ (accessed March 29, 2007).
Romanow, K. (2004), “Wal-Mart RFID supplier conference: moving ahead, with or without you”,
AMR Research, available at: www.amrresearch.com/Content/View.asp?pmillid ¼ 17365
(accessed March 29, 2007).
Ryssel, R., Ritter, T. and Gemünden, H.G. (2004), “The impact of information technology
deployment on trust, commitment and value creation in business relationships”, Journal of
Business & Industrial Marketing, Vol. 19 No. 3, pp. 197-207.
Schwartz, E. (2004), “Wal-Mart promises RFID will benefit suppliers”, InfoWorld, available at:
www.infoworld.com/article/04-06/17/HNwalmart_1.html (accessed March 29, 2007).
Sellitto, C., Burgess, S. and Hawking, P. (2007), “Information quality attributes associated with
RFID-derived benefits in the retail supply chain”, International Journal of Retail &
Distribution Management, Vol. 35 No. 1, pp. 69-87.
Skjott-Larsen, T., Kotzab, H. and Grieger, M. (2003), “Electronic marketplaces and supply chain
relationships”, Industrial Marketing Management, Vol. 32 No. 3, pp. 199-210.
Smith, A.D. (2005), “Exploring radio frequency identification technology and its impact on
business systems”, Information Management & Computer Security, Vol. 13 No. 1, pp. 16-28.
Spekman, R.E., Kamauff, J.W.J. and Myhr, N. (1998), “An empirical investigation into supply
chain management: a perspective on partnerships”, Supply Chain Management, Vol. 3
No. 2, pp. 53-67.
Sriram, V. and Banerjee, S. (1994), “Electronic data interchange: does its adoption change
purchasing policies and procedures?”, International Journal of Purchasing & Materials
Management, Vol. 30 No. 1, pp. 31-40.
Stump, R.L. and Sriram, V. (1997), “Employing information technology in purchasing:
buyer-supplier relationships and size of the supplier base”, Industrial Marketing
Management, Vol. 26 No. 2, pp. 127-36.
Subirana, B., Eckes, C.C., Herman, G., Sarma, S. and Barrett, M.I. (2003), “Measuring the impact
of information technology on value and productivity using a process-based approach:
the case for RFID technologies”, MIT Sloan Working Paper No. 4450-03.
Varchaver, N. (2004), “Scanning the globe”, Fortune Magazine, available at: http://money.cnn.
com/magazines/fortune/fortune_archive/2004-05/31/370719/index.htm (accessed June 4,
2007).
Vlosky, R.P. and Wilson, D.T. (1994), “Interorganizational information system technology
adoption effects on buyer-seller relationships in the retailer-supplier channel:
an exploratory analysis”, Proceedings from the 10th IMP Annual Conference,
Groningen, The Netherlands.
Vlosky, R.P., Fontenot, R. and Blalock, L. (2000), “Extranets: impacts on business practices and
relationships”, Journal of Business & Industrial Marketing, Vol. 15 No. 6, pp. 438-57.
Walter, A., Helfert, G. and Müller, T.A. (2000), “The impact of satisfaction, trust, and relationship
value on commitment: theoretical considerations and empirical results”, paper presented at
the 16th IMP Conference, Bath.
Webster, J. (1995), “Networks of collaboration or conflict? Electronic data interchange and power
in the supply chain”, Journal of Management Information Systems, Vol. 4 No. 1, pp. 31-42.
White, A. and Daniel, E.M. (2004), “The impact of e-marketplaces on dyadic buyer-supplier
relationships: evidence from the healthcare sector”, Journal of Enterprise Information
Management, Vol. 17 No. 6, pp. 441-53.
Williams, Z. and Moore, R. (2007), “Supply chain relationships and information capabilities: the
creation and use of information power”, International Journal of Physical Distribution &
Logistics Management, Vol. 37 No. 6, pp. 469-83.
Wilson, D.T. (1995), “An integrated model of buyer-seller relationships”, Journal of the Academy
of Marketing Science, Vol. 23 No. 4, pp. 335-45.
Wilson, D.T. and Vlosky, R.P. (1998), “Interorganizational information system technology and
buyer-seller relationships”, Journal of Business & Industrial Marketing, Vol. 13 No. 3,
pp. 215-34.
Yin, R.K. (2003), Case Study Research: Design and Methods, 3rd ed., Sage, Thousand Oaks, CA.
RFID and
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relationships
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IJRDM
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About the authors
Harold Boeck is a Professor of marketing at the Business Faculty of the Université de Sherbrooke
and co-responsible for the master’s program in e-Commerce. He is also an active member of the
ePoly RFID Research Center where his research interests focus on the use and impact of RFID
within open-loop supply chain environments: the factors leading to its adoption, its influence on
buyer-seller relationships and how it can lead to a competitive advantage. He is a regular
guest speaker for several industrial organizations and a CompTIA RFID þ Certified
Professional. Harold Boeck is the corresponding author and can be contacted at: harold.
[email protected]
Samuel Fosso Wamba is a part-time Professor at Ottawa University. He is also a research
associate and a last year PhD candidate in industrial engineering at ePoly, the École
Polytechnique de Montréal’s Centre of expertise in electronic commerce. His current research
interests are in the area of electronic commerce and mobile commerce adoption, business
intelligence and the RFID/EPC Network. He is a CompTIA RFID þ Certified Professional.
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