Knowledge reuse through electronic knowledge repositories: a multi theoretical study

Purpose This study provides insight into factors surrounding knowledge reuse through electronic knowledge repositories (EKR). Design/methodology/approach A multi-theoretical framework is proposed that views knowledge reuse from both socio-technical and expectation confirmation model perspectives. Survey data are used to test associated hypotheses derived from the literature. Findings Results confirm the explanatory power of this approach to predict greater knowledge reuse and greater continuance of use. Research limitations/implications Results suggest social and technical factors modelled interdependently affect knowledge reuse and lead to greater performance, knowledge sharing and continuance of use. Practical implications Practical and managerial recommendations for enhancing enablers of knowledge reuse via EKR are offered. Originality/value This study models enablers to knowledge reuse and resulting downstream effects on organizational outcomes. It provides an original framework for studying knowledge reuse within an EKR or knowledge management system perspective.

[1]  H. Liao,et al.  A MULTILEVEL INVESTIGATION OF FACTORS INFLUENCING EMPLOYEE SERVICE PERFORMANCE AND CUSTOMER OUTCOMES , 2004 .

[2]  Atreyi Kankanhalli,et al.  Special Issue on: Knowledge Management in Asia Understanding Seeking from Electronic Knowledge Repositories: , 2022 .

[3]  B. Fraser,et al.  Development and Validation of an Instrument for Assessing Distance Education Learning Environments in Higher Education: The Distance Education Learning Environments Survey (DELES) , 2005 .

[4]  K. Sheehan Response Variation in E-Mail Surveys: An Exploration , 1999 .

[5]  Alexandra Durcikova,et al.  The Role of Knowledge Repositories in Technical Support Environments: Speed Versus Learning in User Performance , 2005, J. Manag. Inf. Syst..

[6]  L. Argote Organizational Learning: Creating, Retaining and Transferring Knowledge , 1999 .

[7]  Kerstin Liehr-Gobbers,et al.  Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach , 2010 .

[8]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[9]  Ernest Jordan,et al.  Top management support: mantra or necessity? , 2008 .

[10]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[11]  Heeseok Lee,et al.  The Impact of Information Technology and Transactive Memory Systems on Knowledge Sharing, Application, and Team Performance: A Field Study , 2010, MIS Q..

[12]  M. Stone Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[13]  M. Linden,et al.  Phenomenal characteristics associated with projecting oneself back into the past and forward into the future: Influence of valence and temporal distance , 2004, Consciousness and Cognition.

[14]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[15]  Larry A. Stauffer,et al.  An Experimental Evaluation of Design Information Reuse During Conceptual Design , 1996 .

[16]  Ángel L. Meroño-Cerdán,et al.  International Journal of Information Management Strategic Knowledge Management, Innovation and Performance , 2022 .

[17]  Varun Grover,et al.  Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms , 2003, MIS Q..

[18]  Seymour Geisser,et al.  The Predictive Sample Reuse Method with Applications , 1975 .

[19]  Charles Chowa,et al.  Information System Success: Individual and Organizational Determinants , 2006, Manag. Sci..

[20]  Darshana Sedera,et al.  Enterprise Systems Success: A Measurement Model , 2003, ICIS.

[21]  Yuchun Xu,et al.  A framework for design knowledge management and reuse for Product-Service Systems in construction machinery industry , 2012, Comput. Ind..

[22]  Kwok Kee Wei,et al.  What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs , 2009, Decis. Support Syst..

[23]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[24]  Morten T. Hansen,et al.  What's your strategy for managing knowledge? , 1999, Harvard business review.

[25]  Paul H. J. Hendriks,et al.  Why share knowledge? The influence of ICT on the motivation for knowledge sharing , 1999 .

[26]  R. Mitch Casselman,et al.  Aligning Knowledge Strategy and Knowledge Capabilities , 2007, Technol. Anal. Strateg. Manag..

[27]  Ann Majchrzak,et al.  The Impact of Shaping on Knowledge Reuse for Organizational Improvement with Wikis , 2013, MIS Q..

[28]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[29]  Dorothy E. Leidner,et al.  Knowledge Management Systems: Issues, Challenges, and Benefits , 1999, Commun. Assoc. Inf. Syst..

[30]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[31]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[32]  M W Lansdale,et al.  The psychology of personal information management. , 1988, Applied ergonomics.

[33]  Pierpaolo Pontrandolfo,et al.  Different practices for open innovation: a context-based approach , 2013, J. Knowl. Manag..

[34]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[35]  G. Hult,et al.  Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination , 1998 .

[36]  Nancy M. Dixon,et al.  Common Knowledge: How Companies Thrive by Sharing What They Know , 2000 .

[37]  N. Sanders,et al.  MODELING THE RELATIONSHIP BETWEEN FIRM IT CAPABILITY, COLLABORATION, AND PERFORMANCE , 2005 .

[38]  Heeseok Lee,et al.  The effects of socio-technical enablers on knowledge sharing: an exploratory examination , 2008, J. Inf. Sci..

[39]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[40]  I. Nonaka A Dynamic Theory of Organizational Knowledge Creation , 1994 .

[41]  Shu-Mei Tseng,et al.  Knowledge management system performance measure index , 2008, Expert Syst. Appl..

[42]  Tung-Ching Lin,et al.  Understanding the determinants of EKR usage from social, technological and personal perspectives , 2009, J. Inf. Sci..

[43]  Wai Fong Boh,et al.  Reuse of knowledge assets from repositories: A mixed methods study , 2008, Inf. Manag..

[44]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[45]  Chi Fai Cheung,et al.  Knowledge-based extraction of intellectual capital-related information from unstructured data , 2014, Expert Syst. Appl..

[46]  Heeseok Lee,et al.  Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination , 2003, J. Manag. Inf. Syst..

[47]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[48]  Joseph E. McCann,et al.  Strategically integrating knowledge management initiatives , 2004, J. Knowl. Manag..

[49]  G. Huber Organizational Learning: The Contributing Processes and the Literatures , 1991 .

[50]  T. A. Stewart Intellectual Capital: The New Wealth of Organizations , 1997 .

[51]  D. Harrison McKnight,et al.  Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use , 2006, Inf. Syst. Res..

[52]  Gabriel Szulanski Exploring internal stickiness: Impediments to the transfer of best practice within the firm , 1996 .

[53]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[54]  Binshan Lin,et al.  Accessing information sharing and information quality in supply chain management , 2006, Decis. Support Syst..

[55]  John E. Ettlie,et al.  Design Reuse in Manufacturing and Services , 2008 .

[56]  Kai H. Lim,et al.  Knowledge reuse through electronic repositories: A study in the context of customer service support , 2011, Inf. Manag..

[57]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[58]  P. T. J. Andrews,et al.  A design reuse system , 1999 .

[59]  John Byrne,et al.  Knowledge Networks in New Product Development Projects: A Transactive Memory Perspective , 2005, Inf. Manag..

[60]  J. Liebowitz,et al.  Knowledge Organizations: What Every Manager Should Know , 1998 .

[61]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[62]  V. Vroom Work and motivation , 1964 .

[63]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[64]  G. McLean,et al.  Linking organizational culture, structure, strategy, and organizational effectiveness: Mediating role of knowledge management , 2010 .

[65]  Fraser McLeay,et al.  Consumer perceptions of online reviews helpfulness , 2016 .

[66]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[67]  Michael H. Zack,et al.  Managing Codified Knowledge , 1999 .

[68]  Ming-Tien Tsai,et al.  Knowledge workers’ interpersonal skills and innovation performance: An empirical study of Taiwanese high-tech industrial workers , 2010 .

[69]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[70]  Peter H. Gray,et al.  Knowledge sourcing methods , 2006, Inf. Manag..

[71]  Raffaele Filieri,et al.  Antecedents of Knowledge Sourcing and Reuse from a Knowledge Repository in the Virtual Product Prototyping: The Role of Knowledge and System Quality Dimensions , 2016 .

[72]  Albert H. Segars,et al.  Knowledge Management: An Organizational Capabilities Perspective , 2001, J. Manag. Inf. Syst..

[73]  R. Calantone,et al.  Learning orientation, firm innovation capability, and firm performance , 2002 .

[74]  Tiffany A. Whittaker,et al.  Scale Development Research , 2006 .

[75]  Gee-Woo Bock,et al.  The Impact of Information Overload and Contribution Overload on Continued Usage of Electronic Knowledge Repositories , 2010, J. Organ. Comput. Electron. Commer..

[76]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[77]  E. Schein Organizational Culture and Leadership , 1991 .

[78]  K. Hewett,et al.  A Multi-Theoretical Model of Knowledge Transfer in Organizations: Determinants of Knowledge Contribution and Knowledge Reuse , 2006 .

[79]  Mikko T. Siponen,et al.  Neutralization: New Insights into the Problem of Employee Systems Security Policy Violations , 2010, MIS Q..

[80]  Kristopher J Preacher,et al.  SPSS and SAS procedures for estimating indirect effects in simple mediation models , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[81]  Richard V. McCarthy,et al.  The intriguing art of knowledge management and its relation to learning organizations , 2013, J. Knowl. Manag..

[82]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[83]  M. Lynne Markus,et al.  Toward A Theory of Knowledge Reuse : Types of Knowledge Reuse Situations and Factors in Reuse Success , 2022 .

[84]  Volker Wulf,et al.  IT to support knowledge sharing in communities, towards a social capital analysis , 2006, J. Inf. Technol..

[85]  Lynne P. Cooper,et al.  Knowledge Reuse for Innovation , 2004, Manag. Sci..

[86]  L. Argote,et al.  KNOWLEDGE TRANSFER: A BASIS FOR COMPETITIVE ADVANTAGE IN FIRMS , 2000 .

[87]  Alexandra Durcikova,et al.  How Knowledge Validation Processes Affect Knowledge Contribution , 2009, J. Manag. Inf. Syst..

[88]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[89]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[90]  Atreyi Kankanhalli,et al.  Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation , 2005, MIS Q..

[91]  Mani R. Subramani,et al.  A framework of knowledge management systems: issues and challenges for theory and practice , 2000, ICIS.

[92]  Celson Lima,et al.  Facilitating knowledge sharing and reuse in building and construction domain: an ontology-based approach , 2016, J. Intell. Manuf..

[93]  E. Trist,et al.  Some Social and Psychological Consequences of the Longwall Method of Coal-Getting , 1951 .

[94]  Raffaele Filieri,et al.  Knowledge sourcing and knowledge reuse in the virtual product prototyping: an exploratory study in a large automotive supplier of R&D , 2015, Expert Syst. J. Knowl. Eng..

[95]  Chris Kimble,et al.  What Cost Knowledge Management? The Example of Infosys , 2013, ArXiv.

[96]  Byung Gon Kim,et al.  An Integrated View of Knowledge Management for Performance , 2012, J. Knowl. Manag..

[97]  J. Hair Multivariate data analysis , 1972 .

[98]  Jay Jamrog,et al.  The Perfect Storm: The Future of Retention and Engagement , 2004 .