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Journal ArticleDOI

Young travelers' intention to behave pro-environmentally: Merging the value-belief-norm theory and the expectancy theory

01 Apr 2017-Tourism Management (Pergamon)-Vol. 59, Iss: 59, pp 76-88
TL;DR: The authors examined the intention to behave pro-environmentally while traveling amongst young group tour travelers by adopting an empirically validated value-belief-norm theory and merging it with Vroom's expectancy theory.
About: This article is published in Tourism Management.The article was published on 2017-04-01. It has received 333 citations till now. The article focuses on the topics: Expectancy theory.
Citations
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Journal ArticleDOI
TL;DR: In this article, the authors explored consumers' intention to choose organic menu items at restaurants and their intention to visit restaurants featuring organic items using the theory of planned behavior and the norm activation model.

189 citations

Journal ArticleDOI
Heesup Han1
TL;DR: In this paper, environmental sustainability is the foremost topic in the contemporary tourism and hospitality industry, and diverse forms of environmental problems pose a serious threat to the natural environment, which is why it is important to be aware of these issues.
Abstract: Diverse forms of environmental problems pose a serious threat to the natural environment. Environmental sustainability is the foremost topic in the contemporary tourism and hospitality industry. En...

159 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the importance and necessity of drone food delivery services using the concept of perceived innovativeness and found that perceived innovation has a positive influence on attitude toward using drone food delivering services and behavioral intentions including intentions to use and word-of-mouth intentions.

149 citations

Journal ArticleDOI
TL;DR: In this article, the authors explored the determinants that influence young people's behavioural intentions towards reducing PM2.5 emissions using an extended version of the theory of planned behaviour (TPB), which incorporates personal moral norms.
Abstract: Fine particulate matter (PM2.5) emissions have attracted extensive attention because of their severe negative impacts on human health and the national economy. Promoting public participation in reducing PM2.5, especially among young people, is one effective manner in which to control PM2.5 emissions. The present study explores the determinants that influence young people’s behavioural intentions towards reducing PM2.5 using an extended version of the theory of planned behaviour (TPB), which incorporates personal moral norms. Additionally, this paper evaluates and compares the direct and indirect relationships between subjective norms and PM2.5 reduction intentions. This study was tested empirically using survey data collected from 425 respondents in China. The results revealed that young people’s attitude towards reducing PM2.5, the subjective norm, was that behavioural control and personal moral norms significantly affect PM2.5 reduction intentions. Furthermore, the indirect effects of subjective norms on PM2.5 reduction intentions via other determinants were 2.5 times greater than the direct effect. In addition, the results also validated the appropriateness of the extended theory of planned behaviour for exploring young people’s PM2.5 reduction intention. Based on the results, implications and future research directions are also discussed.

140 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the internal attributes that lead tourists to adopt three dimensions of sustainable behavior drawing on the value-belief-norm model and found that pro-sustainable behavior is reflected in three dimensions related to behaviors that reduce environmental impacts, the consumption of local goods and services, and a willingness to sacrifice time and money to choose sustainable options.
Abstract: Understanding the psychological mechanisms underpinning tourists’ voluntary adoption of behaviors that minimize harm to environments and communities that support tourism is critical for the sustainability of the industry. In this study, we examined the internal attributes that lead tourists to adopt three dimensions of pro-sustainable behavior drawing on the value-belief-norm model. We hypothesized that pro-sustainable behavior is reflected in three dimensions of intent related to behaviors that reduce environmental impacts, the consumption of local goods and services, and a willingness to sacrifice time and money to choose sustainable options. Additionally, hypothesized behavior to be a function of altruistic values, beliefs and Personal Norms. Data were drawn from a panel of active US tourists (N = 623). The hypothesized model predicting pro-sustainable behavior was tested using structural equation modeling techniques. Results demonstrate that the model adequately fit the data, and that Personal...

132 citations


Cites background or methods or result from "Young travelers' intention to behav..."

  • ...…of previous work employing the VBN to explore tourists’ PEB has focused on explaining tourists’ intent to choose green accommodations specifically (e.g. Choi, Jang, & Kandampully, 2015; Han, 2015), or a single dimension of intent to mitigate environmental impact (e.g. Kiatkawsin & Han, 2017)....

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  • ...Han (2015), in a study of tourists’ PEB, tested an integrated model including variables from both the TPB and the VBN. Similarly, Kiatkawsin and Han (2017) tested a model merging expectancy theory and the VBN....

    [...]

  • ...Similar to most of the research employing the VBN within a tourism context (Han, 2015; Kiatkawsin & Han, 2017), our work stops shy of predicting actual behavior....

    [...]

References
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Journal ArticleDOI
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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.

37,124 citations

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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.
Abstract: In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

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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

23,353 citations

Book ChapterDOI
TL;DR: In this paper, the universals in the content and structure of values, concentrating on the theoretical advances and empirical tests in 20 countries, and its four basic issues: substantive contents of human values; identification of comprehensive set of values; extent to which the meaning of particular values was equivalent for different groups of people; and how the relations among different values was structured.
Abstract: Publisher Summary This chapter addresses the universals in the content and structure of values, concentrating on the theoretical advances and empirical tests in 20 countries, and its four basic issues: substantive contents of human values; identification of comprehensive set of values; extent to which the meaning of particular values was equivalent for different groups of people; and how the relations among different values was structured. Substantial progress has been made toward resolving each of these issues. Ten motivationally distinct value types that were likely to be recognized within and across cultures and used to form value priorities were identified. Set of value types that was relatively comprehensive, encompassing virtually all the types of values to which individuals attribute at least moderate importance as criteria of evaluation was demonstrated. The evidence from 20 countries was assembled, showing that the meaning of the value types and most of the single values that constitute them was reasonably equivalent across most groups. Two basic dimensions that organize value systems into an integrated motivational structure with consistent value conflicts and compatibilities were discovered. By identifying universal aspects of value content and structure, the chapter has laid the foundations for investigating culture-specific aspects in the future.

12,151 citations