True Nature of Supply Network Communication Structure

Authors

  • Lokhman Hakim bin Osman School of Management, Universiti Kebangsaan Malaysia, 43600 UKM, Selangor, Malaysia

DOI:

https://doi.org/10.21632/irjbs.9.1.1-14

Keywords:

Supply Chain Management, Network Studies, Inter-Organizational Relations, Social Capital

Abstract

Globalization of world economy has altered the definition of organizational structure. Global supply chain can no longer be
viewed as an arm-length structure. It has become more complex. The complexity demands deeper research and understanding. This research analyzed a structure of supply network in an attempt to elucidate the true structure of the supply network. Using the quantitative Social Network Analysis methodology, findings of this study indicated that, the structure of the supply network differs depending on the types of network relations. An important implication of these findings would be a more focus resource management upon network relationship development that is based on firms’ positions in the different network structure. This research also contributes to the various strategies of effective and efficient supply chain management.

References

Borgatti & Li (2009), ’On Social Network Analysis in a Supply Chain Context*’, Journal of Supply Chain Management, vol. 45, no. 2, pp. 5-22.

Borgatti, S & Molina, J (2003), ’Ethical and strategic issues in organizational social network analysis’, The Journal of Applied Behavioral Science, vol. 39, no. 3, p. 337.

Borgatti, SP, Jones, C & Everett, MG (1998), ’Network measures of social capital’’, Semantic Pajek Networks Software, vol. 21, no. 2, pp. 27-36.

Choi & Kim, Y (2008), ’Structural Embeddedness And Supplier Management: A Network Perspective’, Journal of Supply Chain Management, vol. 44, no. 4, pp. 5-13.

Choi & Krause (2006), ’The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation’, Journal of Operations Management, vol. 24, no. 5, pp. 637-52.

Coleman, JS (1988), ’Social Capital in the Creation of Human Capital’, American journal of sociology, vol. 94, no. ArticleType: research-article / Issue Title: Supplement: Organizations and Institutions: Sociological and Economic Approaches to the Analysis of Social Structure / Full publication date: 1988 / Copyright © 1988 The University of Chicago Press, pp. S95-S120.

Corteville, L & Sun, M (2009), An interorganizational social network analysis of the Michigan diabetes outreach networks: Measuring relationships in community networks, Lansing, MI: Michigan Department of Community Health.

Ford, EW, Wells, R & Bailey, B (2004), ’Sustainable network advantages: A game theoretic approach to community-based health care coalitions’, Health Care Management Review, vol. 29, no. 2, p. 159.

Freeman, LC 1979, ’Centrality in social networks conceptual clarification’, Social Networks, vol. 1, no. 3, pp. 215-39.

Granovetter (1985), ’Economic action and social structure: the problem of embeddedness’, American journal of sociology, pp. 481-510.

Granovetter, M (1985), ’Economic action and social structure: the problem of embeddedness’.

Gulati, R (1995), ’Does Familiarity Breed Trust? The Implications of Repeated Ties for Contractual Choice in Alliances’, The Academy of Management Journal, vol. 38, no. 1, pp. 85-112.

Gulati, R & Gargiulo, M (1999), ’Where do interorganizational networks come from?’, American journal of sociology, vol. 104, no. 5, pp. 1439-93.

Gulati, R & Gargiulo, M (1999), ’Where do interorganizational networks come from?’, American journal of sociology, vol. 104, no. 5, pp. 1398-438.

Knoke, D & Kuklinski, J (1982), Network analysis, Sage Publications, Inc.

Krackhardt, D (1999), ’The ties that torture: Simmelian tie analysis in organizations’, Research in the Sociology of Organizations, vol. 16, no. 1999, pp. 183-210.

Krauss, M, Mueller, N & Luke, D (2004), ’Interorganizational relationships within state tobacco control networks: a social network analysis’, Preventing Chronic Disease, vol. 1, no. 4, p. A08.

Lusher, D (2011), ’Masculinity, educational achievement and social status: a social network analysis’, Gender and Education, vol. 23, no. 6, pp. 655-75.

Lusher, D & Robins, G (2010), ’A social network analysis of hegemonic and other masculinities’, The Journal of Men’s Studies, vol. 18, no. 1, pp. 22-44.

Lusher, D, Robins, G & Kremer, P (2010), ’The application of social network analysis to team sports’, Measurement in physical education and exercise science, vol. 14, no. 4, pp. 211-24.

McEvily, B, Perrone, V & Zaheer, A (2003), ’Trust as an organizing principle’, Organization Science, pp. 91-103. McEvily, B & Zaheer, A (1999), ’Bridging ties: a source of firm heterogeneity in competitive capabilities’, Strategic Management Journal, vol. 20, no. 12, pp. 1133-56.

Osman, L. H., Ahmad, A., & Omar, N. A. (2015) Analyzing the impact of firm’s embeddedness in a centralized supply network structure on relational capital outcomes. review of economic and business studies, 55.

Osman, L. H. (2015). A social network model of supply chain management in formal and informal inter-firm engagement. LogForum, 11(4).

Podolny, JM & Page, KL (1998), ’Network forms of organization’, Annual review of sociology, pp. 57-76. Powell, W (1996), ’Neither market nor hierarchy: network forms of organization’, in Te al (ed.), Markets, Hierarchies and Networks Understanding Governance RAW Rhodes,, Buckingham, Open University Press, vol. , pp. 265-76. 29 ... 35

Reagans, R, Zuckerman, E & McEvily, B (2004), ’How to make the team: Social networks vs. demography as criteria for designing effective teams’, Administrative Science Quarterly, vol. 49, no. 1, pp. 101-33.

Robins, G, Pattison, P, Kalish, Y & Lusher, D (2007), ’An introduction to exponential random graph models for social networks’, Social Networks, vol. 29, no. 2, pp. 173-91.

Robins, G, Pattison, P & Wang, P (2009), ’Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks’, Social Networks, vol. 31, no. 2, pp. 105-17.

Scott, J (1988), ’Social network analysis’, Sociology, vol. 22, no. 1, p. 109.

Uzzi, B (1997), ’Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness’, Administrative science quarterly, vol. 42, no. 1, pp. 35-67.

Wang, P, Robins, G & Pattison, P (2006a), ’Pnet: a program for the simulation and estimation of exponential random graph models’, University of Melbourne.

---- 2006b, ’PNet: Program for the estimation and simulation of p* exponential random graph models, User Manual’, Department of Psychology, University of Melbourne.

Womack, JP (1990), Machine that changed the world, Scribner.

Wu, Z, Choi, TY & Rungtusanatham, MJ (2010), ‘Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance’, Journal of Operations Management, vol. 28, no. 2, pp. 115-23.

Downloads

Submitted

11/13/2025

Published

04/01/2016

How to Cite

Hakim bin Osman, L. (2016). True Nature of Supply Network Communication Structure. International Research Journal of Business Studies, 9(1), 1-14. https://doi.org/10.21632/irjbs.9.1.1-14

How to Cite

Hakim bin Osman, L. (2016). True Nature of Supply Network Communication Structure. International Research Journal of Business Studies, 9(1), 1-14. https://doi.org/10.21632/irjbs.9.1.1-14