13 research outputs found
An industrial network flow information integration model for supply chain management and intelligent transportation
Evaluation of Criteria that Affect the Sustainability of Smart Supply Chain in a Textile Firm by Fuzzy SWARA Method
International Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- 242349Sustainable supply chain management practices create a positive effect on the image of businesses, while smart supply chain practices provide a competitive advantage by providing flexibility, speed, risk management, cost savings, inventory accuracy, etc. Smart supply chain management practices help firms to achieve more sustainability in the economic, environmental and social dimensions with innovative technologies in the supply chain. Firms have to give importance to sustainability in order to remain competitive and enhance firm’s long-term performance. For this reason, the aim of this study is to determine important criteria that affect the sustainability of smart supply chain. The criteria discussed in this study were evaluated in the scope of economic, environmental and social practices. In order to acquire more accurate results, the criteria were evaluated by fuzzy SWARA method. The results were discussed and the most important main criteria and sub-criteria that affect the sustainability of the smart supply chain have been revealed. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
A Framework Supporting Supply Chain Complexity and Confidentiality Using Process Mining and Auto Identification Technology
Agile Leadership and Agile Management on Organizational Level - A Systematic Literature Review
The effect of synergy enhancement on information technology portfolio selection
This paper investigates how firms can use synergy to optimize their information technology portfolios. We begin by developing a framework for the portfolio selection by identifying three types of information technology synergy. Next, we use this framework to examine the impact of different types of synergy on the portfolio selection. Analytical models are developed to illustrate the roles of different types of the synergy, and analytical and computational methods are used to investigate the impact of the synergy. The analysis in this paper provides conditions in which synergy enhancement results in a more efficient or a less efficient portfolio. Our study establishes that firms with higher risk thresholds are more likely to obtain more efficient information technology portfolios by enhancing synergy, whereas firms with lower risk thresholds are less likely to benefit from enhancing synergy.open
