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The Circulation of Human and Social Capital

The Circulation of Human and Social Capital. Ryan Burg Business Ethics and Sociology The Wharton School of Business Valery Yakubovich Management The Wharton School of Business. Disciplines. Methods. Quantitative Survey design Network methods R, STATA, UCINET

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The Circulation of Human and Social Capital

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  1. The Circulation of Human and Social Capital • Ryan Burg • Business Ethics and Sociology • The Wharton School of Business • Valery Yakubovich • Management • The Wharton School of Business

  2. Disciplines

  3. Methods Quantitative Survey design Network methods R, STATA, UCINET Web-based data collection Qualitative Semi-structured interviews Mixed methods Legal research Normative analysis Analytical philosophy

  4. Research Interests Social capital Post-failure organizing Norms as expectations Corporate criminal regulation Property theory Stakeholder management Justifications for failure Norms as obligations

  5. The Circulation of Human and Social Capital • Research question: What is the causal relationship between human and social capital? • Why it matters • Business schools wish to help students to be successful. Relationships contribute to student success, but relational outcomes are not measured as classroom outcomes. • Businesses wish to build bridges between employees. Learning provides one strategy.

  6. Networks and Learning Coleman 1988 Human capital Social capital ?

  7. Network Origins at School • Sociometric studies of 1930s and 1940s explore origins (Moreno 1934; Bonney 1943; Frankel and Potashin 1944). • Generally, networks emerge through interpersonal contact, points of commonality, and collaborative work . • The topic has special importance for those concerned with inequality and justice because homophilous ties can lead to segmentation (Schofeld 1995).

  8. Networks and Knowledge at Work • Blau (1955) explores an exchange process between access to knowledge and coordination efforts. • Highly competent people receive most incoming contacts. • But ties form between more and less competent people (measured by employee evaluations) in the process of interaction. • The theory received little subsequent development.

  9. Networks Matter Networks provide access to • Unique information (Granovetter 1973). • Strategic advantage (Burt 1992). • Lower prices (Uzzi 1999). • Desired goods and services (DiMaggio and Louch 1998). • Social support (Wellman and Wortley 1990). • Subjective well-being and health (Cacioppo, Hawkley, Kalil, et al. 2008). • Identity and sense of meaning (Baker 2000, Podolny and Baron 1997).

  10. Networks Matter

  11. Networks Matter to Students • Over ninety percent of students surveyed in an undergraduate management class (n=131) consider social relationships as “important” or “very important” to their economic future.

  12. Hypothesis 1 • H1: In a classroom setting, a student is more likely to learn from a peer to whom he or she has a preexisting social tie. • With Coleman (1988) we suggest that learning occurs within relationships that are exogenous to the classroom, formed prior to the class interaction.

  13. Hypothesis 2a • H2a: In a classroom setting, a student is more likely to learn from a peer to whom he or she formed a tie during the semester of the class than from a peer to whom he or she does not have a tie. • Feld (1981) proposes that relationships form around a “social focus,” a classroom serves as a classic example. • Many relationships emerge through structured interactions, such as campus housing (Festinger, Schachter, and Black 1950).

  14. Hypothesis 2b • H2b: In a classroom setting, a student is less likely to learn from a peer to whom he or she formed a tie during the semester of the class than from a peer to whom he or she does not have a tie. • Coleman (1961) argues that competition between students can undermine relationships and learning, stigmatizing the “teacher’s pet” (McFarland 2005). • Work-limiting norms are common to studies of production environments (Roethlisberger and Dickson 1939, Roy 1953).

  15. Hypothesis 3 • H3: In a classroom setting, socio-demographic similarities induce friendships. • Many studies of friendship identify homophily as a key factor in tie formation: “Birds of a feather flock together” (McPherson, Smith-Lovin, and Cook 2001). • Homophily has been identified as an important social process on college campuses (Mayer and Puller 2008).

  16. Hypothesis 4 • H4: The more a student learns from a classmate, the more likely she is to befriend her. • Following Blau (1955), we view learning as a process that often results in tie formation. • This runs against McFarland’s (2005) findings that high school students do not gain social acceptance through academic tasks. We note the contrast between secondary and post-secondary educational contexts.

  17. Data and Method • Class-based sample of 3undergraduate sections of a Human Resource Management class. • Dyadic level of analysis. • Two “samples:” class-wide and team-based dyads. • 4,620 dyads in class sample; 297 dyads in teams. • Data from surveys and website Facebook.com.

  18. Model • Bivariateprobit • Dependent variables (survey-based): • Ego learned from alter • Ego friended alter • Instruments • For learning – measure of classroom participation and team-based evaluation (excluding ego). • For friendship – measure of social proactivity(monotonic transformation of number of friends added to Facebook.com during term).

  19. DV: Ego learned from alter DV: Ego friended alter

  20. Conclusion • Research question: What is the causal relationship between human and social capital? • Findings: • H1 pre-existing ties Learning (supported) • H2a newly-formed ties  Learning (supported) • H3: Homophily Friendship (unsupported) • H4: Learning  Friendship (supported) • Key contribution: human and social capital are interdependent outcomes of classroom interaction.

  21. Limitations • Classroom-based study of business students lacks external validity; results should be confirmed in workplace settings before managerial implications can be asserted. • Sample size is a limiting factor. With more statistical power we would have also liked to examine individual-level traits. • Study took place over 12 week term. Other time horizons may provide different results.

  22. Managerial Implications • Workplaces are increasingly interested in “managing networks” • But some things are not easily maximized directly • Relationships at work emerge through interdependence • Relationships are unlikely to form by fiat

  23. Disciplines • Research on human and social capital connects with current project on organizational failure. • Journalists and banker networks originate in the learning processes within firms. • Networks create stable normative environments that survive organizational collapse. • Rose (2000) describes reliance on interpersonal networks in Russia where organizations fail. I find similar processes in the US.

  24. Future Research • Study relating social norms and peer network formation among MBA students. • Survey implemented as application on Facebook.com. • Plans for workplace-based study.

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