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The Difference of Being Similar: Competence Similarity and Knowledge Sharing in Workgroups. Enno Siemsen University of Illinois Aleda V. Roth Clemson University Sridhar Balasubramanian University of North Carolina. Agenda. Introduction Theory Empirical Test Conclusion.
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The Difference of Being Similar: Competence Similarity and Knowledge Sharing in Workgroups Enno Siemsen University of Illinois Aleda V. Roth Clemson University Sridhar Balasubramanian University of North Carolina
Agenda • Introduction • Theory • Empirical Test • Conclusion
Specialists vs. Generalists Specialists are -Focused -Experienced -Innovative -Informed Generalists are Flexible- More Motivated- Innovative- For example: For example: Hopp and van Oyen (2004) Skinner (1978) Hackman and Oldham (1980) Argote (1999) Schilling et al. (2003) Schultz et al. (2003)
Agile Production Systems • Workforce Flexibility (Hopp and van Oyen 2004) • Knowledge Transfer and Learning (Roth et al. 1994; Schroeder at al. 2002; Ferdows 2006)
Research Question • Key Construct: Competence Similarity “The ability of an employee to perform the tasks of a coworker” • Research Question: “Does competence similarity enhance or inhibit knowledge sharing within a dyad?”
Theoretical Model Uniqueness Theory Snyder and Fromkin (1980); Maslow (1962) Performance Feedback Theory Feistinger (1954) Social Interdep. Theory Deutsch (1949) Competition (-) Motivation to Share (+) Competence Similarity
Theoretical Model Competition (-) Motivation to Share Help Linkage Job Design Kiggundu (1981) Self Efficacy Gist and Mitchell (1992) (+) (+) Worksharing Systems Buzacott (2004); Hopp and van Oyen (2004) Competence Similarity (+)
Theoretical Model Diversity in Workgroups Northcraft et al. (1995) Social Identity Theory Henessy and West (1999) Workgroup Identification (-) Competition (-) Outcome Linkage Motivation to Share (+) Help Linkage (+) (+) (+) Competence Similarity (+) Uncertainty Reduction Theory Hogg et al. (2005)
Theoretical Model Optimal Distinctiveness Theory Brewer and Weber (1994) Workgroup Identification (-) Competition (-) (-) Outcome Linkage Motivation to Share (+) Help Linkage (+) (+) (+) Competence Similarity (+)
Data Collection • Survey Based Research • Knowledge Sharing Incident • Auxiliary Network Data • Four Different Sites • Design Engineers (Pilot, N=130) • IT Specialists (N=58) • Line Workers (N=101) • Assembly Technicians (N=31)
Knowledge SharingVertical vs. Horizontal Flow Management Vertical Knowledge Sharing Workgroup Workgroup Horizontal (between Group) Knowledge Sharing Horizontal (within Group) Knowledge Sharing Focus of this Research!
Tribal Knowledge • Work-related knowledge, mostly generated from the experience of employees engaged in organizational tasks involving their daily work. (adapted from Dixon 2000) "Design ideas for creating a system which would force more project requirement documentation before software engineers could begin programming." "I discovered that if pallets of product were turned a certain way, more product could be put on the railcars." "When building an engine, our day shift has a flow which allows us to get further on building the engine."
Empirical Analysis • Reliability/Validity • Multiple Imputation • Tobit Models • Hypothesized Relationships • Direct Effects • Square Terms • Control Variables • Company • Age, Gender, Education • Tenure, Management Responsibility • Group Leadership, Group Pay • Total Compensation, Paid per Hour • Robustness Tests
Empirical Results Workgroup Identification -.58*** Competition -.26*** -.08 Outcome Linkage Motivation to Share .13* .03 -.19/ -.20** Help Linkage .44*** Competence Similarity .57*** * Indicates significance at .1 level ** Indicates significance at .05 level *** Indicates significance at .01 level
Empirical Results(for low-friendship relationships) Warning Exploratory Results Workgroup Identification -.50*** Competition -.26*** -.34** Outcome Linkage Motivation to Share .12* .03 -.21* -.20* Help Linkage .44*** Competence Similarity .57*** * Indicates significance at .1 level ** Indicates significance at .05 level *** Indicates significance at .01 level
Conclusion • Competence similarity generally seems to have a positive impact on cooperative behaviors like knowledge sharing. • Only for low levels of friendship, competence similarity may trigger a need for uniqueness and performance comparisons that lead to competition.