Knowledge Management

This article examines five common misunderstandings about case-study research: (a) theoretical knowledge is more valuable than practical knowledge; (b) one cannot generalize from a single case, therefore, the single-case study cannot contribute to scientific development; (c) the case study is most useful for generating hypotheses, whereas other methods are more suitable for hypotheses testing and theory building; (d) the case study contains a bias toward verification; and (e) it is often difficult to summarize specific case studies. This article explains and corrects these misunderstandings one by one and concludes with the Kuhnian insight that a scientific discipline without a large number of thoroughly executed case studies is a discipline without systematic production of exemplars, and a discipline without exemplars is an ineffective one. Social science may be strengthened by the execution of a greater number of good case studies.

The paper motivates, presents, demonstrates in use, and evaluates a methodology for conducting design science (DS) research in information systems (IS). DS is of importance in a discipline oriented to the creation of successful artifacts. Several researchers have pioneered DS research in IS, yet over the past 15 years, little DS research has been done within the discipline. The lack of a methodology to serve as a commonly accepted framework for DS research and of a template for its presentation may have contributed to its slow adoption. The design science research methodology (DSRM) presented here incorporates principles, practices, and procedures required to carry out such research and meets three objectives: it is consistent with prior literature, it provides a nominal process model for doing DS research, and it provides a mental model for presenting and evaluating DS research in IS. The DS process includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication. We demonstrate and evaluate the methodology by presenting four case studies in terms of the DSRM, including cases that present the design of a database to support health assessment methods, a software reuse measure, an Internet video telephony application, and an IS planning method. The designed methodology effectively satisfies the three objectives and has the potential to help aid the acceptance of DS research in the IS discipline.

Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework.

Wireless microsensor networks have been identified as one of the most important technologies for the 21st century. This paper traces the history of research in sensor networks over the past three decades, including two important programs of the Defense Advanced Research Projects Agency (DARPA) spanning this period: the Distributed Sensor Networks (DSN) and the Sensor Information Technology (SensIT) programs. Technology trends that impact the development of sensor networks are reviewed, and new applications such as infrastructure security, habitat monitoring, and traffic control are presented. Technical challenges in sensor network development include network discovery, control and routing, collaborative signal and information processing, tasking and querying, and security. The paper concludes by presenting some recent research results in sensor network algorithms, including localized algorithms and directed diffusion, distributed tracking in wireless ad hoc networks, and distributed classification using local agents.

The success of knowledge management initiatives depends on knowledge sharing. This paper reviews qualitative and quantitative studies of individual-level knowledge sharing. Based on the literature review we developed a framework for understanding knowledge sharing research. The framework identifies five areas of emphasis of knowledge sharing research: organizational context, interpersonal and team characteristics, cultural characteristics, individual characteristics, and motivational factors. For each emphasis area the paper discusses the theoretical frameworks used and summarizes the empirical research results. The paper concludes with a discussion of emerging issues, new research directions, and practical implications of knowledge sharing research.

Many companies have developed strategies that include investing heavily in information technology (IT) in order to enhance their performance. Yet, this investment pays off for some companies but not others. This study proposes that organization learning plays a significant role in determining the outcomes of IT. Drawing from resource theory and IT literature, the authors develop the concept of IT competency. Using structural equations modeling with data collected from managers in 271 manufacturing firms, they show that organizational learning plays a significant role in mediating the effects of IT competency on firm performance.

The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. However, if cloud computing is to achieve its potential, there needs to be a clear understanding of the various issues involved, both from the perspectives of the providers and the consumers of the technology. While a lot of research is currently taking place in the technology itself, there is an equally urgent need for understanding the business-related issues surrounding cloud computing. In this article, we identify the strengths, weaknesses, opportunities and threats for the cloud computing industry. We then identify the various issues that will affect the different stakeholders of cloud computing. We also issue a set of recommendations for the practitioners who will provide and manage this technology. For IS researchers, we outline the different areas of research that need attention so that we are in a position to advice the industry in the years to come. Finally, we outline some of the key issues facing governmental agencies who, due to the unique nature of the technology, will have to become intimately involved in the regulation of cloud computing.

A model of knowledge management is developed. It builds on the interplay between articulated and tacit knowledge at four different levels: the individual, the small group, the organization, and the interorganizational domain. The model is applied on differences between Western and Japanese patterns of knowledge management. These are related to organizational characteristics, such as employment systems, career patterns, and organization structure. Effective knowledge management is argued to require departures from the logic of hierarchical organization and the M-form structure. The alternative N-form is characterized and suggested as more appropriate. It entails combination of knowledge rather than its division, which is the basic principle in the M-form. Other attributes of the N-form are: temporary constellations of people, the importance of personnel at 'lower levels', lateral communication, a catalytic and architectural role for top management, strategies aimed at focusing and economies of depth, and heterarchical structures.

Inspired by the concepts tacit and codified knowledge introduced by Polanyi, this paper makes a distinction between two modes of innovation. On the one hand there are innovation strategies (Science, Technology, and Innovation, STI-mode) that give main emphasis to promoting R&D and creating access to explicit codified knowledge. On the other hand there are innovation strategies (Doing, Using, and Interacting, DUI- mode) mainly based on learning by doing, using and interacting. We show that firms using mixed strategies that combine a strong version of the STI-mode with a strong version of the DUI-mode excel in product innovation. The distinctions made and the results obtained have important implications for innovation policy and for the analysis of innovation systems. They help to avoid biased approaches exaggerating the role of science-based innovation while also indicating limits for experience-based innovation strategies.

This article presents results from the first statistically significant study of cost escalation in transportation infrastructure projects. Based on a sample of 258 transportation infrastructure projects worth US$90 billion and representing different project types, geographical regions, and historical periods, it is found with overwhelming statistical significance that the cost estimates used to decide whether such projects should be built are highly and systematically misleading. Underestimation cannot be explained by error and is best explained by strategic misrepresentation, that is, lying. The policy implications are clear: legislators, administrators, investors, media representatives, and members of the public who value honest numbers should not trust cost estimates and cost-benefit analyses produced by project promoters and their analysts.

This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively 'blindfolds' investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.

Facing uncertain environments, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of their suppliers and customers. The objective of the study is to uncover the nature of supply chain collaboration and explore its impact on firm performance based on a paradigm of collaborative advantage. Reliable and valid instruments of these constructs were developed through rigorous empirical analysis. Data were collected through a Web survey of U.S. manufacturing firms in various industries. The statistical methods used include confirmatory factor analysis and structural equation modeling (i.e., LISREL). The results indicate that supply chain collaboration improves collaborative advantage and indeed has a bottom-line influence on firm performance, and collaborative advantage is an intermediate variable that enables supply chain partners to achieve synergies and create superior performance. A further analysis of the moderation effect of firm size reveals that collaborative advantage completely mediates the relationship between supply chain collaboration and firm performance for small firms while it partially mediates the relationship for medium and large firms.

Back cover text: If the new fin de siècle marks a recurrence of the real, Bent Flyvbjerg’s Rationality and Power epitomizes that development and sets new standards for social and political inquiry. The Danish town of Aalborg is to Flyvbjerg what Florence was to Machiavelli: a laboratory for understanding the real workings of power, and for grasping what they mean to our more general concerns of social and political organization. Politics, administration, and planning are examined in ways that allow  a rare, in-depth understanding. The reader witnesses, firsthand, the classic and endless drama which defines what modernity and democracy are and can be.

This paper presents a design theory for systems to support what we call "emergent knowledge processes." Emergent knowledge processes are business processes that involve intellectual activities, expert knowledge, and diverse people in unstructured and unpredictable combinations. Examples of emergent knowledge processes include the processes of organization design, new product development, and strategic planning. Information systems support for emergent knowledge processes is usually limited to routine decision-making or communication support, whereas more comprehensive support would consist of helping participants with the creative, problem-finding aspects of the processes. Drawing from the literatures on knowledge management and emergent processes, this paper identifies the characteristics of emergent knowledge processes and the characteristics of systems likely to provide effective and comprehensive IT support for the characteristics. Then, drawing on a case study of a successful system development effort for the process of organization design, we discuss the principles of good IS product design and development for emergent knowledge processes. These principles are quite different from those commonly used in system design today. Implications of this design theory for further research are discussed.

In the resource-based view of the firm, human capital is frequently assumed to contribute to competitive advantage due to its inimitability based on its intangible, firm-specific, and socially complex nature. Consistent with this view, we find that investments in firm-specific human capital have a significant impact on learning and firm performance. More specifically, human capital selection (education requirements and screening), development through training, and deployment significantly improve learning by doing, which in turn improves performance. However, we find that acquiring human capital with prior industry experience from external sources significantly reduces learning performance. We also find that firms with high turnover significantly underperform their rivals, revealing the time-compression diseconomies that protect firm-specific human capital from imitation. These results provide new empirical evidence of the inimitability of human capital.

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Information and communication technology (ICT) can enhance knowledge sharing by lowering temporal and spatial barriers between knowledge workers, and improving access to information about knowledge. Looking at ICT for knowledge sharing in this light, however, has limited value, because it ignores when and how the quality of knowledge sharing will be enhanced. A more encompassing perspective will come about if ICT is studied with relation to the motivation for knowledge sharing. The article explores this perspective by developing a theoretical model identifying and linking the variables involved. By presenting the outcomes of an empirical investigation, it also illustrates the differential effects of ICT on the motivation for knowledge sharing in different settings.

The knowledge-based view of the firm views a firm as a knowledge-creating entity, and argues that knowledge and the capability to create and utilize such knowledge are the most important source of a firm's sustainable competitive advantage. Knowledge and skills give a firm a competitive advantage because it is through this set of knowledge and skills that a firm is able to innovate new products/processes/services, or improve existing ones more efficiently and/or effectively. The raison d'être of a firm is to continuously create knowledge.

We distill existing literature on theoretical contribution into two dimensions, originality (incremental or revelatory) and utility (scientific or practical). We argue for a revision in the way scholars approach the utility dimension by calling for a view of theorizing that would enable theories with more "scope" (both scientific and practical utility). We also argue for an orientation toward "prescience" as a way of achieving scope and fulfilling our scholarly role of facilitating organizational and societal adaptiveness.

Purpose -To date, critical success factors (CSFs) for implementing knowledge management (KM) in small and medium enterprises (SMEs) have not been systematically investigated. Existing studies have derived their CSFs from large companies' perspectives and have not considered the needs of smaller businesses. This paper is aimed to bridge this gap. Design/methodology/approach -Existing studies on CSFs were reviewed and their limitations were identified. By integrating insights drawn from these studies as well as adding some new factors, the author proposed a set of 11 CSFs which is believed to be more suitable for SMEs. The importance of the proposed CSFs was theoretically discussed and justified. In addition, an empirical assessment was conducted to evaluate the extent of success of this proposition. Findings -The overall results from the empirical assessment were positive, thus reflecting the appropriateness of the proposed CSFs. Practical implications -The set of CSFs can act as a list of items for SMEs to address when adopting KM. This helps to ensure that the essential issues and factors are covered during implementation. For academics, it provides a common language for them to discuss and study the factors crucial for the success of KM in SMEs. Originality/value -This study is probably the first to provide an integrative perspective of CSFs for implementing KM in the SME sector. It gives valuable information, which hopefully will help this business sector to accomplish KM.

Organizational knowledge creation is the process of making available and amplifying knowledge created by individuals as well as crystallizing and connecting it to an organization's knowledge system. In other words, what individuals come to know in their (work-)life benefits their colleagues and, eventually, the larger organization. The theory explaining this process — the organizational knowledge creation theory — has developed rapidly in academia and been broadly diffused in management practice over the last 15 years. This article reviews the theory's central elements and identifies the evolving paths taken by academic work that uses the theory as a point of departure. The article furthermore proposes areas in which future research can advance the theory of organizational knowledge creation.

This article is seeking to explore the practical implications of an epistemological approach to strategy formulation. In doing so it tries to expand the field of knowledge management and intellectual capital beyond its operational and often inwardly technological focus to a new theory of the firm. A resource-based perspective is suggested, using autopoietic epistemology to guide strategy formulation. People use their capacity-to-act in order to create value in mainly two directions; by transferring and converting knowledge externally and internally to the organisation. The value grows each time a knowledge transfer or conversion takes place. The strategy formulation issues are concerned with how to utilise the leverage and how to avoid the blockages that prevent sharing and conversion. Activities that form the backbone of a knowledge-based strategy are to be aimed at improving the capacity-to-act both inside and outside the organisation.

The article presents a regional innovation policy model, based on the idea of constructing regional advantage. This policy model brings together concepts like related variety, knowledge bases and policy platforms. Related variety attaches great importance to knowledge spillovers across complementary sectors, possibly in a region. Then, the paper categorises knowledge into "analytical" (science based), "synthetic" (engineering based) and "symbolic" (artistic based) in nature, with different "virtual" and real proximity mixes. Finally, the implications of this are traced for evolving "platform policies" that facilitate economic development within and between regions in action lines appropriate to related variety and differentiated knowledge bases.

Based on a study of knowledge transfer within more than 15 industries, across three forms of governance, and between both domestic and international R&D partners, knowledge transfer success was found to be associated with several key variables, and to hinge upon (a) both R&D units' understanding where the desired knowledge resides within the source, (b) the extent to which the parties share similar knowledge bases, and the extent of interactions between the source and the recipient to (c) transfer the knowledge and (d) participate in an articulation process through which the source's knowledge is made accessible to the recipient.

Some scholars have argued that globalization will reduce the importance of local contexts. We argue instead that despite the increased frequency and intensity of interactions across local contexts, they continue to retain their distinctive differences. MNEs face growing challenges in managing the complexity of these interactions, because they must manage ‘multiple embeddedness’ across heterogeneous contexts at two levels. First, at the MNE level, they must organize their networks to exploit effectively both the differences and similarities of their multiple host locations. Second, at the subsidiary level, they must balance ‘internal’ embeddedness within the MNE network, with their ‘external’ embeddedness in the host milieu. Balancing the subsidiary’s strategic role within the MNE with its local identity and its domestic linkages can sometimes represent a trade-off. Multiple embeddedness thus creates both business opportunities and operational challenges.

Technology for knowledge management has so far focused on the management of knowledge containers. We present an approach that is oriented towards managing knowledge contents instead by identifying knowledge items at various levels of formality. This is done by providing various types of meta data that are tied to ontologies for conceptual interlinkage. Knowledge items are embedded into knowledge processes, which are supported by a suite of ontology-based tools. In order to handle this sort of rich knowledge process, we introduce a meta process that puts special emphasis on constructing and maintaining the ontology when introducing knowledge management systems. In order to elucidate our approach, we describe a case study about the building of CHAR, the Corporate History AnalyzeR.

The rising share of intangibles in economies worldwide highlights the crucial role of knowledge-intensive and creative industries in current and future wealth generation. The recognition of this trend has led to intense competition in these industries. At the micro-level, firms from both advanced and emerging economies are globally dispersing their value chains to control costs and leverage capabilities. The geography of innovation is the outcome of a dynamic process whereby firms from emerging economies strive to catch-up with advanced economy competitors, creating strong pressures for continued innovation. However, two distinct strategies can be discerned with regard to the control of the value chain. A vertical integration strategy emphasizes taking advantage of ‘linkage economies’ whereby controlling multiple value chain activities enhances the efficiency and effectiveness of each one of them. In contrast, a specialization strategy focuses on identifying and controlling the creative heart of the value chain, while outsourcing all other activities. The global mobile handset industry is used as the template to illustrate the theory.

Objective To explore in depth how primary care clinicians (general practitioners and practice nurses) derive their individual and collective healthcare decisions. Design Ethnographic study using standard methods (non-participant observation, semistructured interviews, and documentary review) over two years to collect data, which were analysed thematically. Setting Two general practices, one in the south of England and the other in the north of England. Participants Nine doctors, three nurses, one phlebotomist, and associated medical staff in one practice provided the initial data; the emerging model was checked for transferability with general practitioners in the second practice. Results Clinicians rarely accessed and used explicit evidence from research or other sources directly, but relied on "mindlines"-collectively reinforced, internalised, tacit guidelines. These were informed by brief reading but mainly by their own and their colleagues' experience, their interactions with each other and with opinion leaders, patients, and pharmaceutical representatives, and other sources of largely tacit knowledge. Mediated by organisational demands and constraints, mindlines were iteratively negotiated with a variety of key actors, often through a range of informal interactions in fluid "communities of practice," resulting in socially constructed "knowledge in practice." Conclusions These findings highlight the potential advantage of exploiting existing formal and informal networking as a key to conveying evidence to clinicians.

This paper critically addresses the coherence, reception, and dissemination of "situated learning theory" (Lave and Wenger 1991). Situated learning theory commends a conceptualization of the process of learning that, in offering an alternative to cognitive theories, departs radically from the received body of knowledge on learning in organizations. The paper shows how elements of situated learning theory have been selectively adopted to fertilize or extend the established terrain of organizational learning. In this process, we argue, Lave and Wenger's embryonic appreciation of power relations as media of learning is displaced by a managerial preoccupation with harnessing (reified) "communities of practice" to the fulfillment of (reified) corporate objectives. We illustrate our argument by reference to study of photocopier technicians, which is very widely cited as an example of the "new," situated conceptualization of learning in communities of practice. We commend a revitalization of situated learning theory in which learning practices are understood to be enabled and constrained by their embeddedness in relations of power; and, more specifically, by the unstable institutionalization of power relations within capitalist work organizations.