Greenwash and Green Trust: The Mediation Effects of Green Consumer Confusion and Green Perceived Risk
TL;DR: In this paper, the influence of greenwash on green trust and the mediation roles of green consumer confusion and green perceived risk are discussed. But, the authors focus on Taiwanese consumers who have the purchase experience of information and electronics products in Taiwan, and the results show that greenwash is negatively related to green trust.
Abstract: The paper explores the influence of greenwash on green trust and discusses the mediation roles of green consumer confusion and green perceived risk. The research object of this study focuses on Taiwanese consumers who have the purchase experience of information and electronics products in Taiwan. This research employs an empirical study by means of the structural equation modeling. The results show that greenwash is negatively related to green trust. Therefore, this study suggests that companies must reduce their greenwash behaviors to enhance their consumers’ green trust. In addition, this study finds out that green consumer confusion and green perceived risk mediate the negative relationship between greenwash and green trust. The results also demonstrate that greenwash is positively associated with green consumer confusion and green perceived risk which would negatively affect green trust. It means that greenwash does not only negatively affect green trust directly but also negatively influence it via green consumer confusion and green perceived risk indirectly. Hence, if companies would like to reduce the negative relationship between greenwash and green trust, they need to decrease their consumers’ green consumer confusion and green perceived risk.
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TL;DR: In this paper, the authors developed an original framework to explore the influences of green perceived value and green perceived risk on green purchase intentions and discuss the mediation role of green trust, and they employed an empirical study by means of the questionnaire survey method to verify the hypotheses and explore its managerial implications.
Abstract: Purpose – The purpose of this study is to develop an original framework to explore the influences of green perceived value and green perceived risk on green purchase intentions and to discuss the mediation role of green trust.Design/methodology/approach – This study applies four original concepts – green perceived value, green perceived risk, green trust, and green purchase intentions – to develop an integral model to enhance green purchase intentions. In addition, this research employs an empirical study by means of the questionnaire survey method to verify the hypotheses and to explore its managerial implications. Structural equation modeling (SEM) is applied to verify the research framework.Findings – The empirical results show that green perceived value would positively affect green trust and green purchase intentions, while green perceived risk would negatively influence both of them. Furthermore, this study demonstrates that the relationships between green purchase intentions and their two anteceden...
733 citations
TL;DR: A review of the academic literature from marketing and behavioral science that exa... as mentioned in this paper highlights the important role of marketing in encouraging sustainable consumption, and presents a review of marketing and behavioural science literature that support sustainable consumption.
Abstract: Highlighting the important role of marketing in encouraging sustainable consumption, the current research presents a review of the academic literature from marketing and behavioral science that exa...
650 citations
TL;DR: Greenwash: Greenwash is communication that misleads people into forming overly positive opinions about environmental performance as discussed by the authors. But, greenwash is a form of communication that encourages people to form overly positive beliefs about environmental outcomes.
Abstract: Corporate claims about environmental performance have increased rapidly in recent years, as has the incidence of greenwash, that is, communication that misleads people into forming overly positive ...
399 citations
TL;DR: In this article, the authors found that lack of consumer trust is a barrier for the development of a market for organic food in Thailand and identified consumer trust as a distinct volition factor influencing the likelihood that consumers will act on green intentions.
Abstract: Consumer trust is a key prerequisite for establishing a market for credence goods, such as “green” products, especially when they are premium priced. This article reports research on exactly how, and how much, trust influences consumer decisions to buy new green products. It identifies consumer trust as a distinct volition factor influencing the likelihood that consumers will act on green intentions and strongly emphasizes the needs to manage consumer trust as a prerequisite for the development of a market for green products. Specifically, based on a mixture of qualitative and quantitative methods, it is found that lack of consumer trust is a barrier for the development of a market for organic food in Thailand. Two focus groups and ten in-depth interviews revealed low knowledge about and low trust in organic food, certification, control, and labeling. Further, a mall-intercept survey (N = 177) revealed that lack of (especially) system trust reduces consumer expectations about benefits of buying organic food, and it makes them less likely to buy organic food. Mistrust in the control system and in the authenticity of food sold as organic has a significant negative impact on self-reported buying behavior. Implications for policy and future research are discussed.
397 citations
TL;DR: In this article, the authors developed a model that depicts the relationships among transparency, social responsibility, trust, attitude, word-of-mouth (WOM) intention, and purchase intention.
Abstract: Developing trust in a company is a significant part of building the company-consumer relationship. Previous studies have sought to identify the positive consequences of trust such as loyalty and repurchase, but the question of what builds trust remains largely unanswered. To answer the question, we developed a model that depicts the relationships among transparency, social responsibility, trust, attitude, word-of-mouth (WOM) intention, and purchase intention. An online survey was conducted with a US nationwide sample of 303 consumers, and the data were analyzed using the structural equation modeling method. The results indicated that consumers’ perceptions of a corporation’s efforts to be transparent in the production and labor conditions and to be socially responsible by giving back to the local community directly affected these consumers’ trust and attitudes toward the corporation, and indirectly affected their intentions to purchase from and spread positive WOM about the corporation. Theoretical and practical implications are discussed.
277 citations
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Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...
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01 Jan 1973
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.
Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each.
Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations.
Table of Contents
1. Introduction.
I. PREPARING FOR A MULTIVARIATE ANALYSIS.
2. Examining Your Data.
3. Factor Analysis.
II. DEPENDENCE TECHNIQUES.
4. Multiple Regression.
5. Multiple Discriminant Analysis and Logistic Regression.
6. Multivariate Analysis of Variance.
7. Conjoint Analysis.
8. Canonical Correlation Analysis.
III. INTERDEPENDENCE TECHNIQUES.
9. Cluster Analysis.
10. Multidimensional Scaling.
IV. ADVANCED AND EMERGING TECHNIQUES.
11. Structural Equation Modeling.
12. Emerging Techniques in Multivariate Analysis.
Appendix A: Applications of Multivariate Data Analysis.
Index.
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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.
Abstract: I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and Correspondence Analysis V Moving Beyond the Basic Techniques 10 Structural Equation Modeling: Overview 10a Appendix -- SEM 11 CFA: Confirmatory Factor Analysis 11a Appendix -- CFA 12 SEM: Testing A Structural Model 12a Appendix -- SEM APPENDIX A Basic Stats
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