Logforum. 2017. 13(2), article 7, 195-208; DOI: https://doi.org/10.17270/J.LOG.2017.2.7
DETERMINING DEGREE OF COMPLEXITY IN DIFFERENT INTER-FIRM RELATIONS: FORMAL VERSUS INFORMAL RELATIONS OF AUTHORITATIVE SYSTEM
Lokhman Hakim bin Osman
University Kebangsaan, Bangi, Malaysia
Background: Inter-organizational network complexity exists in many forms. Depending on the type of network relationship, we could see different pattern of complexity emerged from the complex interorganizational relations. Yet managing them has taken rather a monotonous approach. However, no previous study has attempted how this complexity may appear in the different type of network structure.
Methods: Using the social network analysis methodology, this study embarks on the objective in determining the structure of complexity of inter-organizational structure base on the different type of network relationships.
Results and conclusions: Findings of this study indicated that firms’ degree of complexity emerged from the firms’ 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.
Keywords: interfirm relationship, network complexity, interorganizational relationship
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MLA | Osman, Lokhman Hakim bin. "Determining degree of complexity in different inter-firm relations: formal versus informal relations of authoritative system." Logforum 13.2 (2017): 7. DOI: https://doi.org/10.17270/J.LOG.2017.2.7 |
APA | Lokhman Hakim bin Osman (2017). Determining degree of complexity in different inter-firm relations: formal versus informal relations of authoritative system. Logforum 13 (2), 7. DOI: https://doi.org/10.17270/J.LOG.2017.2.7 |
ISO 690 | OSMAN, Lokhman Hakim bin. Determining degree of complexity in different inter-firm relations: formal versus informal relations of authoritative system. Logforum, 2017, 13.2: 7. DOI: https://doi.org/10.17270/J.LOG.2017.2.7 |