The effect of the supply chain social capital

Industrial Management & Data Systems

Volumn 113, Issue 3, 2013, Pages 324-349

  Yim, Byungjin ^a   Leem, Byunghak ^b  

^a Yeungnam University   (South Korea)

^b Pusan University of Foreign Studies   (South Korea)

Author keywords

Baron and Kenny's procedure; Firm performance; Mediation effect; Partial least square (PLS); Performance management; Supply chain integration; Supply chain management; Supply chain social capital

Indexed keywords

BARON AND KENNY'S PROCEDURE; FIRM PERFORMANCE; MEDIATION EFFECT; PARTIAL LEAST SQUARE (PLS); PERFORMANCE MANAGEMENT; SOCIAL CAPITALS; SUPPLY-CHAIN INTEGRATION;

INTEGRATION; PRINCIPAL COMPONENT ANALYSIS; PROFITABILITY; SUPPLY CHAIN MANAGEMENT;

INDUSTRY;

EID: 84874833566     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/02635571311312640     Document Type: Article

References (67)

1. Ahuja, G. (2000), “Collaboration networks, structural holes, and innovation: a longitudinal study”, Administrative Science Quarterly, Vol. 45 No. 3, pp. 425-56.
2. Anderson, D. and Lee, H. (1999), “Synchronized supply chains: the new frontier”, in Anderson, D. (Ed.), Achieving Supply Chain Excellence Through Technology, Vol. 2, Montgomery Research, San Francisco, CA, pp. 12-21.
3. Armstrong, J. and Overton, T. (1977), “Estimating non-response bias in mail surveys”, Journal of Marketing Research, Vol. 14 No. 3, pp. 396-402.
4. Autry, C. and Griffis, S. (2008), “Supply chain capital: the impact of structural and relational linkages on firm execution and innovation”, Journal of Business Logistics, Vol. 29 No. 1, pp. 157-73.
5. Avery, S. (2010), “Impact of social capital on buyer supplier relationships in a multi-cultural context”, dissertation, The University of Texas, Arlington, TX.
6. Baron, R.M. and Kenny, D.A. (1986), “The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations”, Journal of Personality and Social Psychology, Vol. 51 No. 6, pp. 1173-82.
7. Bernardes, E.S. (2010), “The effect of supply management on aspects of social capital and the impact performance: a social network approach”, Journal of Supply Chain Management, Vol. 46 No. 1, pp. 45-56.
8. Bollen, K.A. and Stine, R. (1990), “Direct and indirect effects: classical and bootstrap estimates of variability”, Sociological Methodology, Vol. 20, pp. 115-40.
9. Burt, R.S. (1992), Structural Holes: The Social Structure of Competition, Harvard University Press, Cambridge, MA.
10. Chin, W.W. (1998), “The partial least squares approach to structural equation modeling”, in Marcoulides, G.A. (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 295-358.
11. Coleman, J.C. (1988), “Social capital in the creation of human capital”, The American Journal of Sociology, Vol. 94, pp. 95-120.
12. Cooper, M.C., Douglas, M.L. and Janus, D.P. (1997), “Supply chain management: more than a new name for logistics”, The International Journal of Logistics Management, Vol. 8 No. 1, pp. 1-14.
13. Cousins, P.D., Handfield, R.B., Benn Lawson, B. and Petersen, K.J. (2006), “Creating supply chain relational capital: the impact of formal and informal socialization processes”, Journal of Operations Management, Vol. 24, pp. 851-63.
14. Cronbach, L.J. (1951), “Coefficient alpha and the internal structure of tests”, Psychometrika, Vol. 16 No. 3, pp. 297-334.
15. Cronbach, L.J. and Meehl, P.E. (1955), “Construct validity in psychological tests”, Psychological Bulletin, Vol. 52, pp. 281-302.
16. Cummings, J.N. (2004), “Work groups, structural diversity, and knowledge sharing in a global organization”, Management Science, Vol. 50, pp. 352-64.
17. Das, T.K. and Bing-Sheng, T. (1998), “A resource-based theory of strategic alliance”, Journal of Management, Vol. 26.
18. Efron, B. (1988), “Bootstrap confidence-intervals – good or bad”, Psychological Bulletin, Vol. 104 No. 2, pp. 293-6.
19. Fornell, C. and Larcker, D. (1981), “Evaluation structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, pp. 39-50.
20. Gupta, A.K. and Govindarajan, V. (2000), “Knowledge flows within multinational corporations”, Strategic Management Journal, Vol. 21 No. 4.
21. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (2006), Multivariate Data Analysis, 6th ed., Prentice-Hall, Upper Saddle River, NJ.
22. Heide, J.B. and Miner, A.S. (1992), “The shadow of the future: effects of anticipated interaction and frequency of contact on buy-seller cooperation”, Academy of Management Journal, Vol. 35 No. 2, pp. 265-91.
23. Hofstede, G. and Bond, M.H. (1988), “The Confucius connection: from cultural roots to economic growth”, Organizational Dynamics, Vol. 16 No. 4, pp. 5-21.
24. Horvath, L. (2001), “Collaboration: the key to value creation in supply chain management”, Supply Chain Management: An International Journal, Vol. 6 No. 5, pp. 205-7.
25. Hulland, J.S. (1999), “Use of partial least squares (PLS) in strategic management research: a review of four recent studies”, Strategic Management Journal, Vol. 2 No. 4, pp. 195-204.
26. Hult, G.T.M., Ketchen, D.J. Jr and Slater, S.F. (2004), “Information processing, knowledge development, and strategic supply chain performance”, Academy of Management Journal, Vol. 47 No. 2, pp. 241-53.
27. Inkpen, A.C. and Tsang, E.W.K. (2005), “Social capital, networks and knowledge transfer”, Academy of Management Review, Vol. 30 No. 1, pp. 146-65.
28. Jacobs, J. (1961), The Death and Life of Great American Cities, Random House, New York, NY.
29. Koufteros, X.A. and Cheng, E. et al., (2007), “Black-box and gray-box supplier integration in product development: antecedents, consequences and the moderating role of firm size”, Journal of Operations Management, Vol. 25 No. 4, pp. 847-70.
30. Krause, D.R. and Handfield, R.B. et al., (2007), “The relationships between supplier development, commitment, social capital accumulation and performance improvement”, Journal of Operations Management, Vol. 25 No. 2, pp. 528-45.
31. Kulp, S.C., Lee, H.L. and Ofek, E. (2004), “Manufacturer benefits from information integration with retail customers”, Management Science, Vol. 50, pp. 431-44.
32. Lawson, B., Tyler, B.B. and Cousins, P.D. (2008), “Antecedents and consequences of social capital on buyer performance improvement”, Journal of Operations Management, Vol. 26 No. 3, pp. 446-60.
33. Lin, N. (2005), “Building a network theory of social capital”, in Lin, N., Cook, K. and Burt, R.S. (Eds), Social Capital: Theory and Research, Aldine Transaction, New Brunswick, NJ.
34. Liu, Y., Luo, Y. and Liu, T. (2009), “Governing buyer-supplier relationships through transactional and relational mechanisms: evidence from China”, Journal of Operations Management, Vol. 27, pp. 294-309.
35. Loury, G. (1977), “A dynamic theory of racial income differences”, in Wallace, P.A. and LaMonde, A.M. (Eds), Women, Minorities, and Employment Discrimination, Lexington Books, Lexington, MA.
36. Luo, X., Griffith, D.A., Sandra, S. and Yi-Zheng, S. (2004), “The effects of customer relationships and social capital on firm performance: a Chinese business illustration”, Journal of International Marketing, Vol. 12 No. 4, pp. 25-45.
37. McCarthy, T.M. and Golicic, S.L. (2002), “Implementing collaborative forecasting to improve supply chain performance”, International Journal of Physical Distribution & Logistics Management, Vol. 32 No. 6, pp. 431-54.
38. McEvily, B. and Marcus, A. (2005), “Embedded ties and the acquisition of competitive capabilities”, Strategic Management Journal, Vol. 26 No. 11, pp. 1033-55.
39. McGrath, R. Jr and Sparks, L.W. (2005), “The importance of building social capital”, Quality Process, February, pp. 45-9.
40. Min, S. and Mentzer, J.T. (2004), “Developing and measuring supply chain management concepts”, Journal of Business Logistics, Vol. 25 No. 1, pp. 63-98.
41. Min, S., Kim, S. and Chen, H. (2008), “Developing social identity and capital for supply chain management”, Journal of Business Logistics, Vol. 29 No. 1, pp. 283-304.
42. Moran, P. (2005), “Structural vs relational embeddedness: social capital and managerial performance”, Strategic Management Journal, Vol. 26 No. 8, pp. 1129-51.
43. Nahapiet, J. and Ghoshal, S. (1998), “Social capital, intellectual capital, and the organizational advantage”, Academy of Management Review, Vol. 23 No. 2, pp. 242-66.
44. Nunnally, J.C. and Bernstein, I.H. (1994), Psychometric Theory, 3rd ed., McGraw-Hill, New York, NY.
45. Perrone, V., Zaheer, A. and McEvily, B. (2003), “Free to be trusted? Organizational constraints on trust in boundary spanners”, Organization Science, Vol. 14 No. 4, pp. 422-39.
46. Podsakoff, P.M., Mackenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003), “Common method biases in behavioral research: a critical review of the literature and recommended remedies”, Journal of Applied Psychology, Vol. 88 No. 5, pp. 879-903.
47. Prusak, L. and Cohen, D. (2001), “How to invest in social capital”, Harvard Business Review, Vol. 79 No. 6, pp. 86-93.
48. Putnam, R.D. (2000), Bowling Alone, Simon & Schuster, New York, NY.
49. Rai, A., Patnayakuni, R. and Seth, N. (2006), “Firm performance impacts of digitally enabled supply chain integration capabilities”, MIS Quarterly, Vol. 30 No. 2, pp. 225-46.
50. Ravi, A., Patnayakuni, R., Rai, A. and Seth, N. (2008), “The impact of IT platform and relational capabilities on supply chain integration: a social capital perspective”, working paper.
51. Ringle, C.M., Wende, S. and Will, S. (2005), “SmartPLS 2.0 (M3) beta”, Hamburg, available at: www.smartpls.de.
52. Sitkin, S.B. and Roth, N.L. (1993), “Explaining the limited effectiveness of legalistic ‘remedies’ for trust & distrust”, Organization Science, Vol. 4, pp. 367-92.
53. Sobel, M.E. (1982), “Asymptotic confidence intervals for indirect effects in structural equation models”, in Leinhardt, S. (Ed.), Sociological Methodology, American Sociological Association, Washington, DC.
54. Straub, D.W. (1989), “Validating instruments in MIS research”, MIS Quarterly, Vol. 13 No. 2, pp. 147-66.
55. Tsai, W. and Ghoshal, S. (1998), “Social capital and value creation: the role of intrafirm networks”, Academy of Management Journal, Vol. 41 No. 4, pp. 464-76.
56. Uzzi, B. (1996), “The sources and consequences of embeddedness for the economic performance of organizations: the network effect”, American Sociological Review, Vol. 61, pp. 674-98.
57. Uzzi, B. and Gillespie, J. (2002), “Knowledge spillover in corporate financing networks: embeddedness and the firm's debt performance”, Strategic Management Journal, Vol. 23, pp. 595-618.
58. Venkatraman, N. and Ramanujam, V. (1986), “Measurement of business performance in strategy research: a comparison of approaches”, The Academy of Management Review, Vol. 11 No. 4, pp. 801-14.
59. Villena, V.H., Revilla, E. and Choi, T.Y. (2011), “The dark side of buyer-supplier relationships: a social capital perspective”, Journal of Operations Management, Vol. 29 No. 6, pp. 561-76.
60. Werts, C.E., Linn, R.L. and Joreskog, K.G. (1974), “Interclass reliability estimates: testing structural assumptions”, Education and Psychological Measurement, Vol. 34, pp. 25-33.
61. Wu, W. (2008), “Dimensions of social capital and firm competitiveness improvement: the mediating role of information sharing”, Journal of Management Studies, Vol. 45, pp. 122-46.
62. Zaheer, A., McEvily, B. and Perrone, V. (1998), “Does trust matter? Exploring the effects of interorganizational and interpersonal trust on performance”, Organization Science, Vol. 9, pp. 141-59.
63. Cohen, J. (1988), Statistical Power Analysis for the Behavioral Sciences, 2nd ed., Lawrence Erlbaum Associates, Hillsdale, NJ.
64. Mentzer, J.T., DeWitt, W., Keehler, J.S., Min, S., Nix, N.W., Smith, C.D. and Zacharia, Z.G. (2001), “Defining supply chain management”, Journal of Business Logistics, Vol. 22 No. 2, pp. 1-25.
65. Saeed, K., Malhotra, M. and Grover, V. (2011), “Interorganizational system characteristics and supply chain integration: an empirical assessment”, Decision Science, Vol. 42 No. 1, pp. 7-42.
66. Tenenhaus, M., Esposito Vinzi, V., Chatelin, Y.-M. and Lauro, C. (2005), “PLS path modeling”, Computational Statistics & Data Analysis, Vol. 48 No. 1, pp. 159-205.
67. Wetzels, M., Odekerken-Schroder, G. and Van Oppen, C. (2009), “Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration”, MIS Quarterly, Vol. 33 No. 1, pp. 177-95.