Theorizing Supply Chains with Qualitative Big Data and Topic Modeling

2020 ◽  
Vol 56 (2) ◽  
pp. 7-18 ◽  
Author(s):  
Pratima (Tima) Bansal ◽  
Jury Gualandris ◽  
Nahyun Kim
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Topic Modeling

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions

2021 ◽  
Vol 170 ◽  
pp. 120927
Author(s):  
Yigit Kazancoglu ◽  
Muhittin Sagnak ◽  
Sachin Kumar Mangla ◽  
Muruvvet Deniz Sezer ◽  
Melisa Ozbiltekin Pala
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Decision Framework

Big Data Analytics for Climate-Resilient Food Supply Chains: Opportunities and Way Forward

2021 ◽  
pp. 181-192
Author(s):  
Navin Kumar C. Twarakavi ◽  
Kamal Das ◽  
Mohamed Akram Zaytar ◽  
Fred Otieno ◽  
Jitendra Singh ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Food Supply ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Food Supply Chains

Topic modeling for analysis of big data tensor decompositions

2018 ◽  
Author(s):  
Thomas S. Henretty ◽  
Muthu Baskaran ◽  
James Ezick ◽  
Richard Lethin ◽  
M. Harper Langston
Keyword(s):  
Big Data ◽  
Topic Modeling ◽  
Tensor Decompositions
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