Job Performance Through Knowledge Sharing Behavior in Global Software Development Organizations

Global software development is a knowledge intensive activity which is supported by knowledge sharing with team members working from different locations and backgrounds. Knowledge is considered as “power” and usually people hesitate to share it. There is an essential need to promote and create a knowledge sharing environment. In this research, Theory of Planned Behavior has been applied as the theoretical backbone of the conceptual framework with focus on knowledge sharing in global software development. This study examines impact of key factors, including attitude, subjective norms and perceived behavioral control on knowledge sharing intention and how knowledge sharing intention impacts knowledge sharing behavior. Furthermore, the impact of knowledge sharing behavior on job performance has also been explored. Data analysis results showed that attitude, subjective norms and perceived behavioral control had positive effects on knowledge sharing intention. Knowledge sharing behavior was found to have strongest impact on job performance. The results of this research should be of interest to academics and practitioners in the domain of global software development.

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

[2]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[3]  I. Ajzen The theory of planned behavior , 1991 .

[4]  U. Sekaran,et al.  Research Methods for Business : A Skill Building Approach (5th Edition) , 1992 .

[5]  Darja Smite,et al.  Spatial Knowledge Creation and Sharing Activities in a Distributed Agile Project , 2013, 2013 IEEE 8th International Conference on Global Software Engineering Workshops.

[6]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[7]  Muhammad Ali Babar,et al.  A systematic review of knowledge sharing challenges and practices in global software development , 2016, Int. J. Inf. Manag..

[8]  Alexeis Garcia-Perez,et al.  Knowledge Sharing as a Driver of Competitive Advantage: Two Cases from the Field , 2018 .

[9]  Gwo-Guang Lee,et al.  Perceptions of senior managers toward knowledge‐sharing behaviour , 2004 .

[10]  Norfadzilah Abdul Razak,et al.  Theories of knowledge sharing behavior in business strategy , 2016 .

[11]  Yeo-Jin Kang,et al.  The Impact of Knowledge Sharing on Work Performance: An Empirical Analysis of the Public Employees' Perceptions in South Korea , 2008 .

[12]  Claes Wohlin,et al.  Software teams and their knowledge networks in large-scale software development , 2017, Inf. Softw. Technol..

[13]  Joon Koh,et al.  An Integrative Model for Knowledge Sharing in Communities-of-Practice , 2011, J. Knowl. Manag..

[14]  Sajjad Mahmood,et al.  Challenges of project management in global software development: A client-vendor analysis , 2016, Inf. Softw. Technol..

[15]  Awais Ahmad,et al.  Systematic literature review and empirical investigation of barriers to process improvement in global software development: Client-vendor perspective , 2017, Inf. Softw. Technol..

[16]  Robert W. Zmud,et al.  Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational Climate , 2005, MIS Q..

[17]  Jörg Henseler,et al.  Handbook of Partial Least Squares: Concepts, Methods and Applications , 2010 .

[18]  Narasimha Bolloju,et al.  Explaining the intentions to share and reuse knowledge in the context of IT service operations , 2005, J. Knowl. Manag..

[19]  Xiling Cui,et al.  In- and extra-role knowledge sharing among information technology professionals: The five-factor model perspective , 2017, Int. J. Inf. Manag..

[20]  Marko Sarstedt,et al.  Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance , 2013 .

[21]  Jialin Yi A measure of knowledge sharing behavior: scale development and validation , 2009 .

[22]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[23]  B. Nicholson,et al.  Global IT Outsourcing: Software Development across Borders , 2003 .

[24]  Subramaniam Sri Ramalu,et al.  Evaluation of measurment and structural model of the reflective model constructs in PLS – SEM , 2016 .

[25]  T. Ramayah,et al.  Network collaboration and performance in the tourism sector , 2011 .

[26]  Nik Hasnaa Nik Mahmood,et al.  Determinants of knowledge sharing behavior , 2012 .

[27]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[28]  Suliman Al-Hawamdeh,et al.  Factors Impacting Knowledge Sharing , 2002, J. Inf. Knowl. Manag..

[29]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

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

[31]  Shahla Ghobadi,et al.  Perceived barriers to effective knowledge sharing in agile software teams , 2016, Inf. Syst. J..

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

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

[34]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..