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Open AccessJournal ArticleDOI

The Impact of Green Product Innovation on Firm Performance and Competitive Capability: The Moderating Role of Managerial Environmental Concern

TLDR
In this paper, a model is constructed to link the relationship between green product innovation, firm performance, and competitive capability in Turkish manufacturing firms using Structural Equation Modeling (SEM).
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This article is published in Procedia - Social and Behavioral Sciences.The article was published on 2012-10-24 and is currently open access. It has received 157 citations till now. The article focuses on the topics: Product innovation.

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Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices

TL;DR: In this article, the authors developed and tested a holistic model that depicts and examines the relationships among green innovation, its drivers, as well as factors that help overcome the technological challenges and influence the performance and competitive advantage of the firm.
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Green process innovation, green product innovation, and corporate financial performance: A content analysis method

TL;DR: Li et al. as discussed by the authors examined the internal mechanisms and contingent conditions that link green technology innovation to a firm's financial performance and found that green product innovation mediates the relationship between green process innovation and the firm's performance.
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What drives eco-innovation? A review of an emerging literature

TL;DR: An overview of the emerging literature on the drivers of eco-innovation can be found in this paper, where the main contribution lies in separating the drivers associated with the phases of development and diffusion and in identifying particular drivers based on different ecoinnovation types.
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Green Innovation, Managerial Concern and Firm Performance: An Empirical Study

TL;DR: This paper examined how managerial concern (for green issues) moderates the relationship between green innovation and firm performance, and found that green process innovation and green product innovation both significantly (positively) predict firm performance.
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The role of internal capabilities and firms' environment for sustainable innovation: evidence for Germany

TL;DR: In this paper, the authors explore what the specific driving forces are that increase the degree of sustainable innovation within a firm's innovation activities and find that firms need to invest in internal absorptive capacities and to draw both broadly and deeply from external sources for innovation.
References
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Journal ArticleDOI

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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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.
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Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

Multivariate Data Analysis

Xianggui Qu
- 01 Feb 2007 - 
TL;DR: This book deals with probability distributions, discrete and continuous densities, distribution functions, bivariate distributions, means, variances, covariance, correlation, and some random process material.
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