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Assessing sustainability of supply chains by double frontier network DEA: A big data approach

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TLDR
An NDEA model for calculating optimistic and pessimistic efficiency is developed and can incorporate undesirable outputs, and can rank supply chains in terms of efficiency scores.
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This article is published in Computers & Operations Research.The article was published on 2017-06-06. It has received 109 citations till now. The article focuses on the topics: Data envelopment analysis & Supply chain.

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Big Data Analytics in Operations Management

TL;DR: This study first explores the existing big data‐related analytics techniques, and identifies their strengths, weaknesses as well as major functionalities, and discusses various big data analytics strategies to overcome the respective computational and data challenges.
Journal ArticleDOI

Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda

TL;DR: In this article, the authors provide an overview of the state-of-the-art literature on big data-driven sustainable supply chain management, and propose seven gaps in the literature in order to foster future investigations on sustainable supply chains.
Journal ArticleDOI

Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach

TL;DR: A novel approach is proposed to find the common set of weights in a two-stage network data envelopment analysis based on goal programming to analyze the joint effects of eco-efficiency and eco-innovation, considering the undesirable inputs, intermediate products, and the outputs in the context of big data.
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A conceptual framework for measuring sustainability performance of supply chains

TL;DR: This study analyzes measurement approaches that are used to assess sustainability performance of supply chains and provides new insights into sustainability performance measurement approaches, supply chain configuration, and metrics selection.
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Data-driven sustainable supply chain management performance: A hierarchical structure assessment under uncertainties

TL;DR: The results show that social development has the most significant effect and long-term relationships, a lack of sustainable knowledge or technology, reverse logistic, product recovery techniques, logistical integration, and joint development are the most effective criteria for enhancing sustainable supply chain management performance.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
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Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
Book

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.
Journal Article

Big data: the management revolution.

TL;DR: Big data, the authors write, is far more powerful than the analytics of the past, and executives can measure and therefore manage more precisely than ever before, and make better predictions and smarter decisions.
Journal ArticleDOI

Beyond the business case for corporate sustainability

TL;DR: In this paper, the authors discuss how the concept of sustainable development has evolved over the past three decades and particularly how it can be applied to the business level and describe the three types of capital relevant within the corporate sustainability: economic, natural and social capital.
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