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Bellamy & Basole (2013) reveal that with the ongoing evolution and adaptation of systems steered by multifaceted sociotechnical inter-firm contacts, traditional engineering and operations management modelling become less effective. The traditional modelling perspectives become ineffective in capturing of numerous complicated elements of supply chain systems or SCSs structurally and behaviourally. These drawbacks result to the acknowledgement of crucial benefits linked to network analytics in understanding, designing and managing SCSs. To understand the impact of network analytics, three interdependent themes evaluated are SCS system architecture or network structure, SCS system behaviour or network dynamics, and SCS system policy and control or network strategy. Network analysis involves interdisciplinary lens that relies on theories derived from organizational, social, and complexity sciences. Additionally, network analysis controls graph theoretic techniques to design, evaluate and visualize the SCS structure, strategies, and dynamics. Bellamy & Basole (2013) article relies on objectives of network analysis systematic review in the literature of supply chain; organization into an integrative framework and suggestions for future directions. The research fields included in the multidisciplinary analysis are operations management, sociology, biology, marketing, physics, economics, and system engineering.
The data used by Bellamy & Basole (2013) was based on a supply chain context relative to the period starting 1995 to 2011. The year 1995 was chosen for being the first year network analysis use in analysing supply chain. Articles publication was based on publication year, research method and research theme, and publication outlet. The article’s research was found on 126 articles examined using varying combinations of the three themes but concerning the research
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