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Organizacija
|
2012
|
vol. 45
|
issue 5
246-254
EN
The literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of variables. Thereby, the lack of operational decision-making models is felt to propose adequate structural designs in practice. In this article, the researchers employ a fuzzy multi attribute decision making model (FMADM) to select the most suitable organizational structure based on expert’s judgments and by deploying contextual dimensions of the organization. Since the organizational changes especially in the structural levels are along with resistances among involved staffs, the implementation of this model is a supportive tool in addition to help the managers to make a qualified decision and change.
EN
Purpose: In supply chains, creating a secure space for data production, sending, storing, and analysis has always been a critical issue. The main goal of this research was to evaluate the importance of various security criteria in an intelligent supply chain system. Methodology: The main data collection method was the expert survey. Experts validated the security criteria and sub-criteria. Then, the importance of these criteria was evaluated using the fuzzy analytic hierarchy process method. Findings: The results revealed that reliability and privacy with their sub-criteria were the most important ones among the obtained security criteria for IoT-based supply chain management. Practical implications: The research results can provide valuable insight for supply chains’ decision-makers. The findings can also be a good reference point for researchers who work on the IoT-based supply chain concept in other countries and sectors. Research limitations: Limitations of this study are the purposive sampling method and the limited scope of studied companies and sectors. Therefore, the article provides initial insight on the matter. Originality: The study presents the research problem from a new perspective and gives possible solutions for IoT-based supply chain management.
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