The Cognitive Selection Framework of Knowledge Acquisition Strategy in Virtual Communities

As a significant source of knowledge, virtual communities have stimulated interest in knowledge management research. Nonetheless, very few studies to date have examined the demand-side knowledge perspective such as knowledge acquisition in virtual communities. In order to explore the knowledge acquisition process within virtual communities, this study proposes the cognitive selection framework of knowledge acquisition strategy in virtual communities. The proposed framework identifies how knowledge recipients select their strategy for acquiring specialized knowledge, emphasizing cognitive perspectives such as cognitive goals (cognitive replication and innovation) and cognitive motivators (virtual community self-efficacy, heightened enjoyment, and time resources) at the individual level. On analyzing the preliminary data, we obtain findings that suggest that knowledge recipients' cognitive motivators differentially influence their cognitive goals for selecting knowledge acquisition strategy. However, in order to empirically examine the hypotheses identified in this study, further research is still needed.

[1]  Nicholas H. Lurie,et al.  A Consumer Perspective on Price-Matching Refund Policies: Effect on Price Perceptions and Search Behavior , 2001 .

[2]  J. Ruiz Moreno [Organizational learning]. , 2001, Revista de enfermeria.

[3]  Ola Svenson,et al.  Time pressure and stress in human judgment and decision making , 1993 .

[4]  Chun-Ming Chang,et al.  Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations , 2007, Int. J. Hum. Comput. Stud..

[5]  P. Ackerman,et al.  Motivation and cognitive abilities: an integrative/aptitude-treatment interaction approach to skill acquisition , 1989 .

[6]  Deborah J. Armstrong,et al.  Understanding Mindshift Learning: The Transition to Object-Oriented Development , 2007, MIS Q..

[7]  M. Tushman,et al.  Technological Discontinuities and Organizational Environments , 1986 .

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

[9]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[10]  E. A. Locke,et al.  Goal setting theory. , 2012 .

[11]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[12]  Marilyn E. Gist,et al.  EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAINING , 1989 .

[13]  Peter H. Gray,et al.  Knowledge Sourcing Effectiveness , 2004, Manag. Sci..

[14]  Gabriel Szulanski The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness , 2000 .

[15]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[16]  John W. Payne,et al.  Adapting to Time Constraints , 1993 .

[17]  B. Kogut,et al.  Exploring internal stickiness : Impediments to the transfer of best practice within the firm , 2007 .

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

[19]  Carol Saunders,et al.  EDITOR’S COMMENTS Volume 29 Iss. 4 , 2005 .

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

[21]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[22]  Bin Gu,et al.  Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities , 2007, Inf. Syst. Res..

[23]  Edwin A. Locke,et al.  A Multilevel Investigation of the Motivational Mechanisms Underlying Knowledge Sharing and Performance , 2007, Organ. Sci..

[24]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

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

[26]  Frans Prenkert,et al.  A theory of organizing informed by activity theory : The locus of paradox, sources of change, and challenge to management , 2006 .

[27]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[28]  Kent B. Monroe,et al.  The Effects of Time Constraints on Consumers' Judgments of Prices and Products , 2003 .

[29]  H. Raghav Rao,et al.  Knowledge Acquisition via Three Learning Processes in Enterprise Information Portals: Learning-by-Investment, Learning-by-Doing, and Learning-from-Others , 2005, MIS Q..

[30]  Gwendolyn E. Campbell,et al.  Assessing Knowledge Structures: Relations With Experience and Posttraining Performance , 1999 .

[31]  R. Bagozzi,et al.  Intentional social action in virtual communities , 2002 .

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

[33]  Alexander D. Stajkovic,et al.  Social cognitive theory and self-efficacy: Goin beyond traditional motivational and behavioral approaches , 1998 .

[34]  Felix B. Tan,et al.  The Repertory Grid Technique: A Method for the Study of Cognition in Information Systems , 2002, MIS Q..

[35]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[36]  A. Bandura Social cognitive theory of self-regulation☆ , 1991 .

[37]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

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

[39]  E. A. Locke,et al.  Generalizing From Laboratory to Field Settings. , 1987 .

[40]  L. F. Barrett,et al.  THE ROLE OF AFFECTIVE EXPERIENCE IN WORK MOTIVATION. , 2004, Academy of management review. Academy of Management.

[41]  Andrew B. Whinston,et al.  A Sender-Receiver Framework for Knowledge Transfer , 2005, MIS Q..

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

[43]  Amiya K. Basu,et al.  The Metric Quality of Ordered Categorical Data , 1989 .

[44]  K. Jöreskog,et al.  Intraclass Reliability Estimates: Testing Structural Assumptions , 1974 .

[45]  Linda Argote,et al.  Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes , 2003, Manag. Sci..

[46]  J. D. Johnson Information Seeking: An Organizational Dilemma , 1996 .

[47]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[48]  Richard Harris,et al.  The knowledge‐based economy: intellectual origins and new economic perspectives , 2001 .

[49]  J. Ettlie,et al.  Organization Strategy and Structural Differences for Radical Versus Incremental Innovation , 1984 .

[50]  Terence R. Mitchell,et al.  Predicting self-efficacy and performance during skill acquisition , 1994 .

[51]  Brian S. Butler,et al.  Determinants of the Use of Relational and Nonrelational Information Sources , 2007, J. Manag. Inf. Syst..

[52]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[53]  L. Taylor,et al.  Human Agency in Social Cognitive Theory , 1989 .

[54]  C. Pinder,et al.  Work motivation : theory, issues, and applications , 1985 .

[55]  E. Morrison,et al.  Newcomer information seeking: Exploring types, modes, sources, and outcomes. , 1993 .

[56]  Lisa D. Ordóñez,et al.  Decisions under Time Pressure: How Time Constraint Affects Risky Decision Making , 1997 .

[57]  B. Kogut,et al.  Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology , 1992 .