The Pattern of Inter-Organizational Level of Connectivity, Formal Versus Informal Ties

Lokhman Hakim Osman

Abstract


Inter-organizational network exists in many forms.  Yet managing them has taken rather a monotonous approach.  Using the social network analysis methodology, this study embarks on the objective in elucidating the structure of network depending on the different type of inter-organizational relations.  The different pattern of embeddedness in the different type of inter-organizational relationship raise the question of how should we treat the different type of inter-organizational relationships and the pattern of embeddedness.  Such questions are important as firms invest heavily in developing and maintaining their network of inter-organizational relationships. , this research will explore what is the structure of the inter-organizational relationships network may look like both in formal and informal network relationship.  We seek to determine the different in term of density of connectivity among connected firms as this will indirectly indicate the degree of investment that firm commit to manage the different type of inter-organizational network structure. Findings of this study indicated that firms’ degree of involvement differs in the different type of inter-organizational relationships that they are embedded in.  Implication of the findings highlights the importance of network management base on type of inter-organizational relations and selective resource allocations management for inter-organizational network.  Future research areas are also discussed.


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References


Abraham, M. (2009). Why reputation is not always beneficial: Tolerance and opportunism in

business networks. [doi: 10.1016/j.socec.2009.05.010]. Journal of Socio-Economics, 38(6), 908-915.

Abrahamson, E., & Rosenkopf, L. (1997). Social Network Effects on the Extent of Innovation

Diffusion: A Computer Simulation. Organization Science, 8(3), 289-309.

Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study.

Administrative Science Quarterly, 45(3), 425-455.

Borgatti, Li (2009) On Social Network Analysis in a Supply Chain Context. Journal of Supply Chain Management 45 (2), 5-22.

Borgatti S, Molina J (2003) Ethical and strategic issues in organizational social network analysis. The Journal of Applied Behavioral Science 39 (3), 337.

Borgatti SP, Jones C, Everett MG (1998) Network measures of social capital. Semantic Pajek Networks Software 21 (2), 27-36.

Choi, Kim Y (2008) Structural Embeddedness and Supplier Management: A Network Perspective. Journal of Supply Chain Management 44 (4), 5-13.

Choi, Krause (2006) The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation. Journal of Operations Management 24 (5), 637-52.

Coleman JS (1988) Social Capital in the Creation of Human Capital. American Journal of Sociology 94, 95-120. The University of Chicago Press.

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

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.

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.

Geraldine KL Chan (2015) Social networks as social capital for eco-tourism in Malaysia: A preliminary sociological study of the Langkawi Geopark, Geografia Malaysian Journal of Society and Space vol. 11 no. 13 pp. 156 – 164

Kim, Y., & Choi, T. Y. (2015). Tie Strength and Value Creation in the Buyer-Supplier Context A U-Shaped Relation Moderated by Dependence Asymmetry. Journal of Management, 0149206315599214.

Kim, Y. H. (2016). The Effects of Major Customer Networks on Supplier Profitability. Journal of Supply Chain Management.

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. (2015). Network Communication Model: Propensity Of Network Inter-Connectivity Based On Types Of Network Relations. Management and Marketing Journal, 13(2), 274-294.

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. (2016). Organizational embeddedness and its effect on performance: An exploratory analysis for Malaysian business managers. Geografia: Malaysian Journal of Society and Space, 12(2), 212-222.

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 22 (1), 109.

Statsenko, L., Ireland, V., & Gorod, A. (2016, June). Self-organising supply networks: A case study of the SA mining industry. In System of Systems Engineering Conference (SoSE), 2016 11th (pp. 1-5). IEEE.

Uzzi B (1997) Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly 42 (1), 35-67.

Wang P, Robins G, Pattison P (2006) Pnet: A program for the simulation and estimation of exponential random graph models. 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 28 (2), 115-23.


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