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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.
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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.

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Citations
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The impact of sustainability‐oriented dynamic capabilities on firm growth: Investigating the green supply chain management and green political capabilities

TL;DR: In this paper , the authors examined whether firms can attain sales growth through a range of sustainability-oriented dynamic capabilities including (1) internal green supply chain management capabilities, (2) external green supply-chain management capabilities and (3) green political capabilities.
Journal ArticleDOI

Wyniki uzyskiwane w drodze implementacji aktywności prośrodowiskowych versus poziom integracji łańcucha dostaw

TL;DR: In this article, the authors focused on aspects related to green supply chain management, including the level of supply chain integration and the effect of implementation of pro-environmental activities carried out among vertically integrated entities.
Journal ArticleDOI

Under pressure: Finding organizational legitimacy through the supply chain

TL;DR: In this article , the authors analyzed whether firms face a tradeoff in responding to pressures of shareholders versus stakeholders in their quest for supply chain management excellence, and found that shareholders react positively to a Gartner ranking, suggesting that ranked firms receive significant incentives to pursue recognition.
Proceedings ArticleDOI

Institutional pressures & practices assessement for green supply chain management practices: A conceptual framework

TL;DR: In this article , a conceptual holistic framework for green supply chain management drivers and practices assessment is proposed, based on frequency analysis, the results indicate that among all institutional pressures used by scholars that normative pressures are the most cited followed by coercive and mimetic pressures respectively.
Journal Article

Role of Control Mechanisms in Internal SCM and Quality Performance: Risk Management in Supply Chain Management

TL;DR: In this paper, the authors examined the impact of two control mechanisms named as formal control and social control on the internal supply chain management (SCM) of the firm and investigated the influence caused by internal SCM on quality performance.
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

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.
Journal ArticleDOI

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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