A conceptual framework for investigation of supply network leadership

Zenkevich, Nikolay A.; Kazemi, Sajad

doi:10.1504/ijmdm.2020.10029292

Cited by 1 publication

(2 citation statements)

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“…In other words, in a research collaborative network, it is expected that a leading company not only has a higher level of influence comparing other collaborative partners but also can demonstrate higher efficiency in using lower levels of inputs and producing higher levels of outputs. Therefore, a research collaborative network leader is defined as an organization that based on its influence on other collaborative partners demonstrates a higher level of efficiency [Li et al, 2018;Mokhtar et al, 2019b;Zenkevich, Kazemi, 2020;Kazemi et al, 2021].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Firstly, we articulate the main leaders' attributes by the review of the previous works and focusing on the leader as an organization at the network level of analysis. To this aim, this research focuses on the most recent relevant studies (e.g., [Mokhtar et al, 2019b;Zenkevich, Kazemi, 2020]) and defines a research collaborative network leader as an organization that based on its influence on other collaborative partners demonstrates a higher level of efficiency. Secondly, we address a call for research by S. Kazemi with coauthors [Kazemi et al, 2021] to identify a leading organization in a multidimensional way by developing a multidimensional common weight model (MDCW) based on the data envelopment analysis approach for identifying the leader in a more holistic way among a set of collaborative R&D centers in medical universities.…”

Section: Introductionmentioning

confidence: 99%

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Leader identification in a research collaborative network

Kazemi¹

2021

Vestnik SPbSU. Management

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There is considerable empirical evidence on the advantages of interorganizational research collaborative networks across societies and research institutes such as research and development (R&D) centers and universities. Identifying a leader in this contexts is important both theoretically for doing leadership studies, and practically for effective governmental funding allocation and private investments. Inconsistent definitions and non-homogeneous attributes with unidimensional measurement approaches such as subjective measuring of power or considering a central company as the leader made the previous efforts inefficient for identifying leaders in an interorganizational setting. This research aims to identify a leading organization among a set of homogenous R&D centers in a research collaborative network context through implementing the main leader’s attributes in different dimensions. The article presents a multidimensional common weight model based on the data envelopment analysis (DEA) approach in a parallel system with several operational dimensions each of which consumes a set of inputs (budget, lecturers, and students) to produce a set of outputs (scientific meetings and conferences, national and international papers). Centrality and visibility are two main leaders’ attributes combined with efficiency influence the contributions and outcomes of each collaborative network partner. It is demonstrated how the proposed model performs its high-efficiency score in the most influential R&D center named the “leader” among 47 R&D centers in medical universities in Iran. The comparative analysis of managerial results showed that reputation has a greater impact on leader identification than centrality. The results based on mathematical calculations showed a robust discriminating power for efficiency measurement of the proposed model.

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Section: Literature Reviewmentioning

confidence: 99%