Pacific Asia Conference on Information Systems, 2016
Due to the rapid changing environment, shortening product life cycles, and increasing cost of R&a... more Due to the rapid changing environment, shortening product life cycles, and increasing cost of R&D (Research and Development), the company cannot maintain its competitiveness by only relying on its internal R&D capability. Unlike the traditional closed innovation in the enterprise, open innovation and wikinomics have changed the innovation model and create a new way to success. The concepts of open innovation and wikinomics emphasize that the company should cooperate with external organizations to enhance the R&D capability and gain the competitiveness. The goal of this research is to investigate the impacts of organizational wikinomics on open innovation adoption and organizational performance. We applied five constructs to evaluate the organizational wikinomics, including collaboration, openness, interdependence, sharing and integrity. In addition, open innovations are divided into inbound and outbound one, and organizational performance is measured by R&D performance. A quantitative questionnaire survey will be conducted in this research, and SMEs (Small and Medium Enterprises) in Taiwan are selected as the research subjects. The Research results will be helpful to understand how to apply the wikinomic strategies in SMEs to gain open innovations and R&D performance, hence the SMEs can fight with the large companies in the competitive business environment.
Pacific Asia Conference on Information Systems, 2008
With the explosion of information, more and more people are embarrassed to manage information eff... more With the explosion of information, more and more people are embarrassed to manage information effectively. How to search and retrieve accurate information match to people's requirements has been an important issue in information management research. Although search engine can solve this problem partly, the support of manage information is still limited. To use search engine, the users should input precise keywords by themselves first and this stage might cause much confusion to users. For that reason, we need a recommendation system that can catch users' preferences to help users to obtain information more quickly and conveniently without copious process. In our research, a recommendation system is designed based on users' profile. We use ontology technology to be the core of our recommendation system, because ontology can describe the concepts and relations of individual's domain knowledge. Formal Concept Analysis (FCA) algorithm is one of the most popular methods to build ontology, and we apply it to construct our experimental system to recommend master theses to subjects. In order to evaluate our recommendation system, we developed a FCA-based system and another Scoring FCA-based system as treatments, and a Keyword-based system as a control group. We focus on both users' satisfaction on information quality and system quality of our systems. The results show that users have higher information satisfaction on Scoring FCA-based system and FCA-based system than Keyword-based system. This study contributes to research and practice in information recommendation system.
As the Internet continues to broaden its coverage worldwide, it has leaded to a spread of data se... more As the Internet continues to broaden its coverage worldwide, it has leaded to a spread of data searching, learning, entertaining, information exchanging, financing, commercial activities and so on via Internet. This tendency makes a serious situation that is the users of the Internet become attacking targets. There are many kind of network attack such as viruses, worms, and many other
Open innovation processes have become important mechanisms that are integrated into organization’... more Open innovation processes have become important mechanisms that are integrated into organization’s innovation strategies to improve performance among small and medium-sized enterprises (SMEs) under dynamic technological settings. This study explored the relationships among open innovation processes (outside-in, inside-out, and coupled), entrepreneurial orientation (EO), and organizational performances (innovation and financial) of SMEs and analyzed the moderating role of technological turbulence on these relationships. Drawing on the technology-based view, we proposed a conceptual framework that depicts how SMEs’ EO facilitates open innovation processes, which consequently affect performance. The empirical results from a sample of 161 Taiwan-based SMEs reveal that EO serves as a precursor for open innovation processes, and practicing specific open innovation processes improve specific performance outcomes. Outside-in process is positively related to both performance outcomes. Inside-out process is linked to financial performance, and the coupled process is linked to innovation performance. Under high degree of technological turbulence, the positive relationship between EO to outside-in and inside-out processes and the relationship between outside-in process to both innovation and financial performance are strengthened. However, high technological turbulence does not facilitate the relationship between EO to the coupled process or the coupled process to both performance outcomes.
With the rapid development of Internet and electronic commerce, more and more innovative online b... more With the rapid development of Internet and electronic commerce, more and more innovative online business models have been proposed. Internet group buying, one of the most interesting model, has attracted much attentions. Due to the properties of Internet and group behavior, trust on the Internet and among the group are both important factors that would affect the success of Internet group buying. In this research, we constructed a research model based on trust theory and conducted an experiment to investigate the impacts of trust on Internet group buying. Under different trust scenarios in our experiment, the subjects are invited to participate in a group buying activity. The results show that, the consumers have different intention to attend a group buying activity in different trust scenarios. It also means that different trust perspectives have different impacts on the consumers, and trust is a critical factor for Internet group buying.
With the advance of information technology, people could retrieve and manage their information mo... more With the advance of information technology, people could retrieve and manage their information more easily. However, the information users are still confused of information overloading problem. The recommendation system is designed based on personal preferences. It can recommend the fittest information to users, and it would help users to obtain information more conveniently and quickly. In our research, we design a recommendation system based on personal ontology and collaborative filtering technologies. Personal ontology is constructed by Formal Concept Analysis (FCA) algorithm and the collaborative filtering is design based on ontology similarity comparison among users. In order to evaluate the performance of our recommendation system, we have conducted an experiment to estimate the users' satisfaction of our experiment system. The results show that, combining collaborative filtering technology with FCA in a recommendation system can get better users' satisfaction.
Electronic Commerce Research and Applications, 2012
The double auction is an important transaction mechanism in electronic commerce. Buyers and selle... more The double auction is an important transaction mechanism in electronic commerce. Buyers and sellers can interact and be matched with each other in a double auction e-market. Consequently, enhancing the effectiveness of the double auction market to help traders successfully complete their transactions is an important issue. In this research study, Trading Agent Competition (TAC) data were collected to examine double auction market mechanisms. The TAC is a worldwide, renowned competition in which intelligent agents are employed to simulate business/market operations, and the TAC Market Design (CAT) tournament is an individual TAC competition that focuses on the double auction market. Thus, we conducted simulation experiments on the CAT competition platform, and the transaction data were analyzed to identify the impact of market design strategies on market performance, such as market share, market profit and transaction success rate. Based on these results, we developed an expansion matching method to enhance market performance, and we conducted verification experiments to evaluate our method. The results show that our expansion matching method promotes improved performance of market policies in the double auction market.
The recommendation system collects and analyzes users’ preferences, and recommend information or ... more The recommendation system collects and analyzes users’ preferences, and recommend information or commodities to users automatically. In this research, we developed an online book recommendation system based on users’ brainwave information. We collected users’ brainwave information by electroencephalography (EEG) device, and applied empirical mode decomposition (EMD) to decompose the brainwave signal into intrinsic mode functions (IMFs). A back-propagation neural networks (BPNN) model was developed to portrait the user’s brainwave-preference correlations based on IMFs of brainwave signals, and it was applied to design and develop the recommendation system. This research has highlighted a research direction about human computer interaction (HCI) design about recommendation system.
The agricultural issue is always the critical factor to achieving the sustainability of a country... more The agricultural issue is always the critical factor to achieving the sustainability of a country. Due to the growing of plants is affected by weather, season, and lots of external influences, the harvest of crops is unstable and might cause the imbalance between supply and demand in the market. Therefore, the precise prediction of demand in the crops transaction market is important. It is helpful to the farmers to make the cultivating plan and also beneficial to the development of agriculture. In our research, we apply back propagation neutral network (BPNN) to develop a time-series prediction model. The model is used to predict the trading volume of cherry tomatoes in the fruit transaction market in Taiwan. The trading volume indicates the demand in the market, for that reason, the farmers and government can make cultivating plan effectively by the prediction results. We collected the transaction information of cherry tomatoes from 2011 to 2014. The transaction information is used to train the BPNN model and evaluate the accuracy of prediction. The analysis results show we models have higher than 80% accuracy rate. It implicates that BPNN can be used to predict the trading volume of crops in the market.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Recommender systems collect and analyze users' preferences to help users overcome information ove... more Recommender systems collect and analyze users' preferences to help users overcome information overload and make their decisions. In this research, we develop an online book recommender system based on users' brainwave information. We collect users' brainwave data by utilizing electroencephalography (EEG) device and apply empirical mode decomposition (EMD) to decompose the brainwave signals into intrinsic mode functions (IMFs). We propose a back-propagation neural networks (BPNN) model to portrait the user's brainwave preference correlations based on IMFs of brainwave signals, thereby designing and developing the book recommender system. The experimental results show that the recommender system combined with the brainwave analysis can improve accuracy significantly. This research has highlighted a future direction for research and development on humancomputer interaction (HCI) design and recommender system.
International Journal of Computational Science and Engineering, 2016
The cyber community has played an important role for knowledge sharing on the internet. By postin... more The cyber community has played an important role for knowledge sharing on the internet. By posting articles and comments in the cyber community, the members can share knowledge with each other conveniently. In the community, the members would like to ask someone to solve some specific problems. It would be valuable if the community platform could identify who the real expert is in a specific domain. In this research, we propose a volumetric ExpertRank algorithm to identify the real expert in the cyber community automatically. The algorithm is designed based on the articles' evaluation information, word-count of articles and PageRank algorithm. We have developed a prototype system and conducted an experiment to evaluate our algorithm. The experiment results show that our algorithm is better than the other automatic expert identification methods and it is helpful to identify experts accurately in the cyber community.
Lecture Notes in Business Information Processing, 2013
Open innovation processes have become important mechanisms that are integrated into organization’... more Open innovation processes have become important mechanisms that are integrated into organization’s innovation strategies to improve performance among small and medium-sized enterprises (SMEs) under dynamic technological settings. This study explored the relationships among open innovation processes (outside-in, inside-out, and coupled), entrepreneurial orientation (EO), and organizational performances (innovation and financial) of SMEs and analyzed the moderating role of technological turbulence on these relationships. Drawing on the technology-based view, we proposed a conceptual framework that depicts how SMEs’ EO facilitates open innovation processes, which consequently affect performance. The empirical results from a sample of 161 Taiwan-based SMEs reveal that EO serves as a precursor for open innovation processes, and practicing specific open innovation processes improve specific performance outcomes. Outside-in process is positively related to both performance outcomes. Inside-out process is linked to financial performance, and the coupled process is linked to innovation performance. Under high degree of technological turbulence, the positive relationship between EO to outside-in and inside-out processes and the relationship between outside-in process to both innovation and financial performance are strengthened. However, high technological turbulence does not facilitate the relationship between EO to the coupled process or the coupled process to both performance outcomes.
With the advance of information technology, people could retrieve and manage their information mo... more With the advance of information technology, people could retrieve and manage their information more easily. However, the information users are still confused of information overloading problem. The recommendation system is designed based on personal preferences. It can recommend the fittest information to users, and it would help users to obtain information more conveniently and quickly. In our research, we design a recommendation system based on personal ontology and collaborative filtering technologies. Personal ontology is constructed by Formal Concept Analysis (FCA) algorithm and the collaborative filtering is design based on ontology similarity comparison among users. In order to evaluate the performance of our recommendation system, we have conducted an experiment to estimate the users' satisfaction of our experiment system. The results show that, combining collaborative filtering technology with FCA in a recommendation system can get better users' satisfaction.
International Conference on Information Systems, 2013
Open innovation is a paradigm related to knowledge sourcing. It argues that firms should take adv... more Open innovation is a paradigm related to knowledge sourcing. It argues that firms should take advantage of both external and internal ideas for innovation in organizations. The purpose of this research is to investigate how different knowledge management strategies and IT capabilities may have effects on the implementation of open innovation and whether the adoption of open innovation may affect organizational performance. We have developed a research model and a questionnaire survey was conducted in Taiwan and Japan to collect matched-pair responses from 213 companies. Our research results indicate the following: (1) IT capabilities are found to have direct effects on open innovation; (2) Organizations with higher level of knowledge interaction and collaboration have higher level of open innovation implementation; (3) Higher level of open innovation leads to higher organizational performance; (4) Inbound open innovation and outbound open innovation have different effects on organizational performance in different economic contexts.
Electronic Commerce Research and Applications, 2011
The rapid growth of electronic commerce on the Internet provides a platform for organizational kn... more The rapid growth of electronic commerce on the Internet provides a platform for organizational knowledge to be changed faster than ever. The process by which knowledge assets of an organization change over time to cope with the pressure of environmental variation is called knowledge evolution. In this paper, we adopt the strategic fit theory to examine whether different knowledge evolution strategies would affect organizational performance in different circumstances. We adopt the concept from natural evolution to define two knowledge evolution strategies: knowledge mutation that relies on internal knowledge sources and knowledge crossover that takes advantage of external sources such as online communities and professional consultants. A survey was conducted to explore the effects of different strategies on organizational performance, as measured by the balanced scorecard (BSC). The results show that knowledge mutation and crossover have impacts on different aspects of organizational performance. In addition, many industrial factors, such as environment variation, knowledge density, and organizational factors, including IT capability and sharing culture, are found to have moderating effects. The findings of this research will help organizations choose the right strategy for knowledge enhancement and light up new directions for further research.
To cope with the rapid change of business environment, the knowledge asset has been considered as... more To cope with the rapid change of business environment, the knowledge asset has been considered as the most important resource in an organization to gain competitive advantages. How to manage knowledge assets effectively has become an important issue in knowledge economy era, and lots of knowledge management theories have been proposed. In this research, we focus on the impacts of
Purpose Knowledge has been considered a crucial organizational asset for gaining competitive adva... more Purpose Knowledge has been considered a crucial organizational asset for gaining competitive advantages. It is critical for a firm to maintain a knowledge composition that is productive. This study aims to examine the applicability of the diversity–stability principle in ecology to knowledge management and further investigate the impact of knowledge diversity on firm performance. Design/methodology/approach A theoretical framework for knowledge diversity and firm performance is proposed; a questionnaire survey was conducted to evaluate the research framework. Fifty-eight valid responses from experts were collected to measure knowledge strength and diversity of 20 enterprises in four industries, and financial indexes of the 20 enterprises from 2008 to 2012 were collected to analyze the research model. Findings The results show that higher information technology (IT) capabilities in a firm lead to higher levels of knowledge strength and diversity. The strength and diversity of knowledge in a company can improve average company performance and reduce performance variations. Research limitations/implications This paper presents a new perspective that applies the ecological concept of diversity to examine the value of knowledge in organizations. The findings expand our understanding of the role of IT and knowledge in organizational performance. A limitation is that the sample size is relatively small, which may limit the generalizability of the findings. Practical implications CEOs and chief knowledge officers can apply the findings herein to assess their organizational knowledge profiles and maintain a healthy knowledge ecology in strategic planning. They should be aware that both knowledge strength and knowledge diversity are crucial to the stability of firm performance. Originality/value The ecological view of knowledge management stresses the importance of maintaining a healthy intensity and diversity of knowledge at the macro level and indicates a new direction for knowledge management.
Industrial Management and Data Systems, Sep 1, 2004
The rapid proliferation of the Internet has allowed many firms to use this new technology to run ... more The rapid proliferation of the Internet has allowed many firms to use this new technology to run Web-based electronic stores to expand their markets and to enhance the operational performance. Therefore, it is interesting to investigate why electronic commerce benefits some industries more than others, and what factors affect the impact of using e-Stores on performance in different industries. This paper reports findings on the effect of industrial characteristics, as portrayed by product information content and information intensity of the value chain, and e-commerce models on firm performance. The results indicate that both industrial characteristics and e-commerce models have significant effects on firm performance. Among the industrial characteristics, information content of the product and information intensity of the value chain have been found to have a significant impact on firm performances.
Pacific Asia Conference on Information Systems, 2016
Due to the rapid changing environment, shortening product life cycles, and increasing cost of R&a... more Due to the rapid changing environment, shortening product life cycles, and increasing cost of R&D (Research and Development), the company cannot maintain its competitiveness by only relying on its internal R&D capability. Unlike the traditional closed innovation in the enterprise, open innovation and wikinomics have changed the innovation model and create a new way to success. The concepts of open innovation and wikinomics emphasize that the company should cooperate with external organizations to enhance the R&D capability and gain the competitiveness. The goal of this research is to investigate the impacts of organizational wikinomics on open innovation adoption and organizational performance. We applied five constructs to evaluate the organizational wikinomics, including collaboration, openness, interdependence, sharing and integrity. In addition, open innovations are divided into inbound and outbound one, and organizational performance is measured by R&D performance. A quantitative questionnaire survey will be conducted in this research, and SMEs (Small and Medium Enterprises) in Taiwan are selected as the research subjects. The Research results will be helpful to understand how to apply the wikinomic strategies in SMEs to gain open innovations and R&D performance, hence the SMEs can fight with the large companies in the competitive business environment.
Pacific Asia Conference on Information Systems, 2008
With the explosion of information, more and more people are embarrassed to manage information eff... more With the explosion of information, more and more people are embarrassed to manage information effectively. How to search and retrieve accurate information match to people's requirements has been an important issue in information management research. Although search engine can solve this problem partly, the support of manage information is still limited. To use search engine, the users should input precise keywords by themselves first and this stage might cause much confusion to users. For that reason, we need a recommendation system that can catch users' preferences to help users to obtain information more quickly and conveniently without copious process. In our research, a recommendation system is designed based on users' profile. We use ontology technology to be the core of our recommendation system, because ontology can describe the concepts and relations of individual's domain knowledge. Formal Concept Analysis (FCA) algorithm is one of the most popular methods to build ontology, and we apply it to construct our experimental system to recommend master theses to subjects. In order to evaluate our recommendation system, we developed a FCA-based system and another Scoring FCA-based system as treatments, and a Keyword-based system as a control group. We focus on both users' satisfaction on information quality and system quality of our systems. The results show that users have higher information satisfaction on Scoring FCA-based system and FCA-based system than Keyword-based system. This study contributes to research and practice in information recommendation system.
As the Internet continues to broaden its coverage worldwide, it has leaded to a spread of data se... more As the Internet continues to broaden its coverage worldwide, it has leaded to a spread of data searching, learning, entertaining, information exchanging, financing, commercial activities and so on via Internet. This tendency makes a serious situation that is the users of the Internet become attacking targets. There are many kind of network attack such as viruses, worms, and many other
Open innovation processes have become important mechanisms that are integrated into organization’... more Open innovation processes have become important mechanisms that are integrated into organization’s innovation strategies to improve performance among small and medium-sized enterprises (SMEs) under dynamic technological settings. This study explored the relationships among open innovation processes (outside-in, inside-out, and coupled), entrepreneurial orientation (EO), and organizational performances (innovation and financial) of SMEs and analyzed the moderating role of technological turbulence on these relationships. Drawing on the technology-based view, we proposed a conceptual framework that depicts how SMEs’ EO facilitates open innovation processes, which consequently affect performance. The empirical results from a sample of 161 Taiwan-based SMEs reveal that EO serves as a precursor for open innovation processes, and practicing specific open innovation processes improve specific performance outcomes. Outside-in process is positively related to both performance outcomes. Inside-out process is linked to financial performance, and the coupled process is linked to innovation performance. Under high degree of technological turbulence, the positive relationship between EO to outside-in and inside-out processes and the relationship between outside-in process to both innovation and financial performance are strengthened. However, high technological turbulence does not facilitate the relationship between EO to the coupled process or the coupled process to both performance outcomes.
With the rapid development of Internet and electronic commerce, more and more innovative online b... more With the rapid development of Internet and electronic commerce, more and more innovative online business models have been proposed. Internet group buying, one of the most interesting model, has attracted much attentions. Due to the properties of Internet and group behavior, trust on the Internet and among the group are both important factors that would affect the success of Internet group buying. In this research, we constructed a research model based on trust theory and conducted an experiment to investigate the impacts of trust on Internet group buying. Under different trust scenarios in our experiment, the subjects are invited to participate in a group buying activity. The results show that, the consumers have different intention to attend a group buying activity in different trust scenarios. It also means that different trust perspectives have different impacts on the consumers, and trust is a critical factor for Internet group buying.
With the advance of information technology, people could retrieve and manage their information mo... more With the advance of information technology, people could retrieve and manage their information more easily. However, the information users are still confused of information overloading problem. The recommendation system is designed based on personal preferences. It can recommend the fittest information to users, and it would help users to obtain information more conveniently and quickly. In our research, we design a recommendation system based on personal ontology and collaborative filtering technologies. Personal ontology is constructed by Formal Concept Analysis (FCA) algorithm and the collaborative filtering is design based on ontology similarity comparison among users. In order to evaluate the performance of our recommendation system, we have conducted an experiment to estimate the users' satisfaction of our experiment system. The results show that, combining collaborative filtering technology with FCA in a recommendation system can get better users' satisfaction.
Electronic Commerce Research and Applications, 2012
The double auction is an important transaction mechanism in electronic commerce. Buyers and selle... more The double auction is an important transaction mechanism in electronic commerce. Buyers and sellers can interact and be matched with each other in a double auction e-market. Consequently, enhancing the effectiveness of the double auction market to help traders successfully complete their transactions is an important issue. In this research study, Trading Agent Competition (TAC) data were collected to examine double auction market mechanisms. The TAC is a worldwide, renowned competition in which intelligent agents are employed to simulate business/market operations, and the TAC Market Design (CAT) tournament is an individual TAC competition that focuses on the double auction market. Thus, we conducted simulation experiments on the CAT competition platform, and the transaction data were analyzed to identify the impact of market design strategies on market performance, such as market share, market profit and transaction success rate. Based on these results, we developed an expansion matching method to enhance market performance, and we conducted verification experiments to evaluate our method. The results show that our expansion matching method promotes improved performance of market policies in the double auction market.
The recommendation system collects and analyzes users’ preferences, and recommend information or ... more The recommendation system collects and analyzes users’ preferences, and recommend information or commodities to users automatically. In this research, we developed an online book recommendation system based on users’ brainwave information. We collected users’ brainwave information by electroencephalography (EEG) device, and applied empirical mode decomposition (EMD) to decompose the brainwave signal into intrinsic mode functions (IMFs). A back-propagation neural networks (BPNN) model was developed to portrait the user’s brainwave-preference correlations based on IMFs of brainwave signals, and it was applied to design and develop the recommendation system. This research has highlighted a research direction about human computer interaction (HCI) design about recommendation system.
The agricultural issue is always the critical factor to achieving the sustainability of a country... more The agricultural issue is always the critical factor to achieving the sustainability of a country. Due to the growing of plants is affected by weather, season, and lots of external influences, the harvest of crops is unstable and might cause the imbalance between supply and demand in the market. Therefore, the precise prediction of demand in the crops transaction market is important. It is helpful to the farmers to make the cultivating plan and also beneficial to the development of agriculture. In our research, we apply back propagation neutral network (BPNN) to develop a time-series prediction model. The model is used to predict the trading volume of cherry tomatoes in the fruit transaction market in Taiwan. The trading volume indicates the demand in the market, for that reason, the farmers and government can make cultivating plan effectively by the prediction results. We collected the transaction information of cherry tomatoes from 2011 to 2014. The transaction information is used to train the BPNN model and evaluate the accuracy of prediction. The analysis results show we models have higher than 80% accuracy rate. It implicates that BPNN can be used to predict the trading volume of crops in the market.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Recommender systems collect and analyze users' preferences to help users overcome information ove... more Recommender systems collect and analyze users' preferences to help users overcome information overload and make their decisions. In this research, we develop an online book recommender system based on users' brainwave information. We collect users' brainwave data by utilizing electroencephalography (EEG) device and apply empirical mode decomposition (EMD) to decompose the brainwave signals into intrinsic mode functions (IMFs). We propose a back-propagation neural networks (BPNN) model to portrait the user's brainwave preference correlations based on IMFs of brainwave signals, thereby designing and developing the book recommender system. The experimental results show that the recommender system combined with the brainwave analysis can improve accuracy significantly. This research has highlighted a future direction for research and development on humancomputer interaction (HCI) design and recommender system.
International Journal of Computational Science and Engineering, 2016
The cyber community has played an important role for knowledge sharing on the internet. By postin... more The cyber community has played an important role for knowledge sharing on the internet. By posting articles and comments in the cyber community, the members can share knowledge with each other conveniently. In the community, the members would like to ask someone to solve some specific problems. It would be valuable if the community platform could identify who the real expert is in a specific domain. In this research, we propose a volumetric ExpertRank algorithm to identify the real expert in the cyber community automatically. The algorithm is designed based on the articles' evaluation information, word-count of articles and PageRank algorithm. We have developed a prototype system and conducted an experiment to evaluate our algorithm. The experiment results show that our algorithm is better than the other automatic expert identification methods and it is helpful to identify experts accurately in the cyber community.
Lecture Notes in Business Information Processing, 2013
Open innovation processes have become important mechanisms that are integrated into organization’... more Open innovation processes have become important mechanisms that are integrated into organization’s innovation strategies to improve performance among small and medium-sized enterprises (SMEs) under dynamic technological settings. This study explored the relationships among open innovation processes (outside-in, inside-out, and coupled), entrepreneurial orientation (EO), and organizational performances (innovation and financial) of SMEs and analyzed the moderating role of technological turbulence on these relationships. Drawing on the technology-based view, we proposed a conceptual framework that depicts how SMEs’ EO facilitates open innovation processes, which consequently affect performance. The empirical results from a sample of 161 Taiwan-based SMEs reveal that EO serves as a precursor for open innovation processes, and practicing specific open innovation processes improve specific performance outcomes. Outside-in process is positively related to both performance outcomes. Inside-out process is linked to financial performance, and the coupled process is linked to innovation performance. Under high degree of technological turbulence, the positive relationship between EO to outside-in and inside-out processes and the relationship between outside-in process to both innovation and financial performance are strengthened. However, high technological turbulence does not facilitate the relationship between EO to the coupled process or the coupled process to both performance outcomes.
With the advance of information technology, people could retrieve and manage their information mo... more With the advance of information technology, people could retrieve and manage their information more easily. However, the information users are still confused of information overloading problem. The recommendation system is designed based on personal preferences. It can recommend the fittest information to users, and it would help users to obtain information more conveniently and quickly. In our research, we design a recommendation system based on personal ontology and collaborative filtering technologies. Personal ontology is constructed by Formal Concept Analysis (FCA) algorithm and the collaborative filtering is design based on ontology similarity comparison among users. In order to evaluate the performance of our recommendation system, we have conducted an experiment to estimate the users' satisfaction of our experiment system. The results show that, combining collaborative filtering technology with FCA in a recommendation system can get better users' satisfaction.
International Conference on Information Systems, 2013
Open innovation is a paradigm related to knowledge sourcing. It argues that firms should take adv... more Open innovation is a paradigm related to knowledge sourcing. It argues that firms should take advantage of both external and internal ideas for innovation in organizations. The purpose of this research is to investigate how different knowledge management strategies and IT capabilities may have effects on the implementation of open innovation and whether the adoption of open innovation may affect organizational performance. We have developed a research model and a questionnaire survey was conducted in Taiwan and Japan to collect matched-pair responses from 213 companies. Our research results indicate the following: (1) IT capabilities are found to have direct effects on open innovation; (2) Organizations with higher level of knowledge interaction and collaboration have higher level of open innovation implementation; (3) Higher level of open innovation leads to higher organizational performance; (4) Inbound open innovation and outbound open innovation have different effects on organizational performance in different economic contexts.
Electronic Commerce Research and Applications, 2011
The rapid growth of electronic commerce on the Internet provides a platform for organizational kn... more The rapid growth of electronic commerce on the Internet provides a platform for organizational knowledge to be changed faster than ever. The process by which knowledge assets of an organization change over time to cope with the pressure of environmental variation is called knowledge evolution. In this paper, we adopt the strategic fit theory to examine whether different knowledge evolution strategies would affect organizational performance in different circumstances. We adopt the concept from natural evolution to define two knowledge evolution strategies: knowledge mutation that relies on internal knowledge sources and knowledge crossover that takes advantage of external sources such as online communities and professional consultants. A survey was conducted to explore the effects of different strategies on organizational performance, as measured by the balanced scorecard (BSC). The results show that knowledge mutation and crossover have impacts on different aspects of organizational performance. In addition, many industrial factors, such as environment variation, knowledge density, and organizational factors, including IT capability and sharing culture, are found to have moderating effects. The findings of this research will help organizations choose the right strategy for knowledge enhancement and light up new directions for further research.
To cope with the rapid change of business environment, the knowledge asset has been considered as... more To cope with the rapid change of business environment, the knowledge asset has been considered as the most important resource in an organization to gain competitive advantages. How to manage knowledge assets effectively has become an important issue in knowledge economy era, and lots of knowledge management theories have been proposed. In this research, we focus on the impacts of
Purpose Knowledge has been considered a crucial organizational asset for gaining competitive adva... more Purpose Knowledge has been considered a crucial organizational asset for gaining competitive advantages. It is critical for a firm to maintain a knowledge composition that is productive. This study aims to examine the applicability of the diversity–stability principle in ecology to knowledge management and further investigate the impact of knowledge diversity on firm performance. Design/methodology/approach A theoretical framework for knowledge diversity and firm performance is proposed; a questionnaire survey was conducted to evaluate the research framework. Fifty-eight valid responses from experts were collected to measure knowledge strength and diversity of 20 enterprises in four industries, and financial indexes of the 20 enterprises from 2008 to 2012 were collected to analyze the research model. Findings The results show that higher information technology (IT) capabilities in a firm lead to higher levels of knowledge strength and diversity. The strength and diversity of knowledge in a company can improve average company performance and reduce performance variations. Research limitations/implications This paper presents a new perspective that applies the ecological concept of diversity to examine the value of knowledge in organizations. The findings expand our understanding of the role of IT and knowledge in organizational performance. A limitation is that the sample size is relatively small, which may limit the generalizability of the findings. Practical implications CEOs and chief knowledge officers can apply the findings herein to assess their organizational knowledge profiles and maintain a healthy knowledge ecology in strategic planning. They should be aware that both knowledge strength and knowledge diversity are crucial to the stability of firm performance. Originality/value The ecological view of knowledge management stresses the importance of maintaining a healthy intensity and diversity of knowledge at the macro level and indicates a new direction for knowledge management.
Industrial Management and Data Systems, Sep 1, 2004
The rapid proliferation of the Internet has allowed many firms to use this new technology to run ... more The rapid proliferation of the Internet has allowed many firms to use this new technology to run Web-based electronic stores to expand their markets and to enhance the operational performance. Therefore, it is interesting to investigate why electronic commerce benefits some industries more than others, and what factors affect the impact of using e-Stores on performance in different industries. This paper reports findings on the effect of industrial characteristics, as portrayed by product information content and information intensity of the value chain, and e-commerce models on firm performance. The results indicate that both industrial characteristics and e-commerce models have significant effects on firm performance. Among the industrial characteristics, information content of the product and information intensity of the value chain have been found to have a significant impact on firm performances.
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Papers by Deng-neng Chen