Journal ArticleDOI
Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices
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TLDR
Wang et al. as mentioned in this paper developed a theoretical model on the different types of institutional pressures motivating manufacturing enterprises to pursue green supply chain management (GSCM) practices and commensurate performance outcomes.About:
This article is published in Journal of Purchasing and Supply Management.The article was published on 2013-06-01. It has received 778 citations till now. The article focuses on the topics: Supply chain management & Institutional theory.read more
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Journal ArticleDOI
Examining the effect of external pressures and organizational culture on shaping performance measurement systems (PMS) for sustainability benchmarking: Some empirical findings
Rameshwar Dubey,Angappa Gunasekaran,Stephen J. Childe,Thanos Papadopoulos,Benjamin T. Hazen,Mihalis Giannakis,David Roubaud +6 more
TL;DR: In this article, a survey of 277 respondents gathered from Indian manufacturing firms, gathered from various companies, found that two of the dimensions of the institutional pressures (i.e., coercive pressures and normative pressures) are positively related to the performance measurement systems (PMS) whereas the third dimension does not affect PMS.
Journal ArticleDOI
Exploring decisive factors in green supply chain practices under uncertainty
TL;DR: In this article, the authors combined fuzzy set theory and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for a hybrid approach to investigate the effects of each criterion within green supply chain practices (GSCP).
Journal ArticleDOI
Is doing more doing better? The relationship between responsible supply chain management and corporate reputation
TL;DR: In this paper, the extent to which responsible supply chain management practices are driven by a desire to protect corporate reputation and whether such practices can enhance a firm's reputation and generate competitive advantage.
Journal ArticleDOI
Performance of green supply chain management: A systematic review and meta analysis
Chencheng Fang,Jiantong Zhang +1 more
TL;DR: In this article, a random-effects meta-analysis is used to synthesize the empirical results of 54 selected literature with 245 effect sizes, and subgroup analysis and meta-regression are applied to test potential moderators that may influence the strength of practice-performance relationship.
Journal ArticleDOI
Four forces of supply chain social sustainability adoption in emerging economies
TL;DR: In this article, the authors explored the influence of stakeholders on the extent to which firms adopt social sustainability in their supply chain management practices and the benefits gained from such efforts in emerging economies.
References
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Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI
Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Book ChapterDOI
The iron cage revisited institutional isomorphism and collective rationality in organizational fields
Paul DiMaggio,Walter W. Powell +1 more
TL;DR: In this paper, the authors argue that rational actors make their organizations increasingly similar as they try to change them, and describe three isomorphic processes-coercive, mimetic, and normative.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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