Determinants of customer repurchase intention in online shopping

doi:10.1108/14684520910985710

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Determinants of customer repurchase intention in online shopping

Journal Article•DOI•

Determinants of customer repurchase intention in online shopping

Chao-Min Chiu¹, Chen-Chi Chang¹, Hsiang-Lan Cheng, Yu-Hui Fang¹•Institutions (1)

National Central University¹

07 Aug 2009-Online Information Review (Emerald Group Publishing Limited)-Vol. 33, Iss: 4, pp 761-784

TL;DR: The study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions.

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Abstract: Purpose – The purpose of this paper is to understand customers' repurchase intentions in online shopping. This study extends the technology acceptance model (TAM) by introducing e‐service quality dimensions, trust and enjoyment in the development of a theoretical model to study customers' repurchase intentions within the context of online shopping.Design/methodology/approach – Data collected from 360 PCHome online shopping customers provides strong support for the proposed research model. PLS (partial least squares, PLS‐Graph version 3.0) is used to analyse the measurement and structural models.Findings – The study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions.Research limitations/implications – The data are collected from a single online shopping store – the generalisation of the model and findings to other online stores requires additional research. Our findings imply that the five dimensions of e‐servi...

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Journal Article•DOI•

The role of live streaming in building consumer trust and engagement with social commerce sellers

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Apiradee Wongkitrungrueng¹, Nuttapol Assarut•Institutions (1)

Mahidol University International College¹

01 Sep 2020-Journal of Business Research

TL;DR: In this article, a comprehensive framework was proposed to examine the relationship among customers' perceived value of live streaming, customer trust, and engagement, while utilitarian and hedonic values are shown to affect customer engagement indirectly through customer trust in products and trust in sellers sequentially.

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373 citations

Beyond the Usefulness and Ease of Use : Extending the TAM for a World - Wide - Web Context

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Ji-Won Moon, Young-Gul Kim

01 Nov 2000

TL;DR: This study introduces playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance and extends and empirically validate the Technology Acceptance Model (TAM) for the WWW context.

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Abstract: Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.

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360 citations

Journal Article•DOI•

Theories in online information privacy research: A critical review and an integrated framework

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Yuan Li¹•Institutions (1)

Columbia College (South Carolina)¹

01 Dec 2012

TL;DR: This study reviews fifteen established theories in online information privacy research and recognizes the primary contributions and connections of the theories and develops an integrated framework for further research.

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Abstract: To study the formation of online consumers' information privacy concern and its effect, scholars from different perspectives applied multiple theories in research. To date, there has yet to be a systematic review and integration of the theories in literature. To fill the gap, this study reviews fifteen established theories in online information privacy research and recognizes the primary contributions and connections of the theories. Based on the review, an integrated framework is developed for further research. The framework highlights two interrelated trade-offs that influence an individual's information disclosure behavior: the privacy calculus (i.e., the trade-off between expected benefits and privacy risks) and the risk calculus (i.e., the trade-off between privacy risks and efficacy of coping mechanisms). These two trade-offs are together called the dual-calculus model. A decision table based on the dual-calculus model is provided to predict an individual's intention to disclose personal information online. Implications of the study for further research and practice are discussed.

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292 citations

Journal Article•DOI•

Why do people use food delivery apps (FDA)? A uses and gratification theory perspective

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Arghya Ray¹, Amandeep Dhir², Amandeep Dhir³, Pradip Kumar Bala¹, Puneet Kaur², Puneet Kaur³ - Show less +2 more•Institutions (3)

Indian Institute of Management Ahmedabad¹, Aalto University², North-West University³

01 Nov 2019-Journal of Retailing and Consumer Services

TL;DR: In this article, a psychometrically valid and reliable instrument that measures different uses and gratifications behind the use of food delivery apps (FDAs) was developed and the association between different U&Gs and intentions to use FDAs were investigated.

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240 citations

Journal Article•DOI•

Empirical Studies on Online Information Privacy Concerns: Literature Review and an Integrative Framework

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Yuan Li

01 Jan 2011-Communications of The Ais

235 citations

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References

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Open Access

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Journal Article•DOI•

The theory of planned behavior

[...]

Icek Ajzen¹•Institutions (1)

University of Massachusetts Amherst¹

01 Dec 1991-Organizational Behavior and Human Decision Processes

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

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65,095 citations

"Determinants of customer repurchase..." refers background in this paper

...According to the Theory of Planned Behaviour (Ajzen, 1991), trust beliefs create favourable feelings towards the online vendor that are likely to increase a customer’s intention to purchase products from the vendor....
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Journal Article•DOI•

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

[...]

Claes Fornell¹, David F. Larcker²•Institutions (2)

University of Michigan¹, Northwestern University²

01 Feb 1981-Journal of Marketing Research

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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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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56,555 citations

"Determinants of customer repurchase..." refers background or methods in this paper

...Additionally, the convergent validity of the scales was verified by using two criteria suggested by Fornell and Larcker (1981): (1) all indicator loadings should be significant and should exceed 0.7; and (2) the average variance extracted (AVE) by each construct should exceed the variance due to…...
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...The other criterion is that the square root of the AVE from the construct should be greater than the correlation shared between the construct and other constructs in the model (Fornell and Larcker, 1981)....
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...Discriminant validity was assessed by examining the cross-loadings and the relationship between the correlations among the constructs and the square root of the AVEs (Fornell and Larcker, 1981)....
[...]

Perceived Usefulness, Perceived Ease of Use, and User

[...]

Perceived Usefulness, Fred D. Davis

01 Jan 1989

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

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40,975 citations

"Determinants of customer repurchase..." refers background or methods in this paper

...The TAM needs to be extended by incorporating additional variables in order to adapt it to the online shopping context and improve its explanatory power (Hu et al., 1999; Moon and Kim, 2001)....
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...The technology acceptance model (TAM) (Davis, 1989) is widely used to explain individuals’ intentions and actual use of information technology (IT)....
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...…usefulness is defined as “the degree to which a person believes that using a particular system would enhance his or her job performance” and perceived ease of use is defined as “the degree to which a person believes that using a particular system would be free of effort” (Davis, 1989, p. 320)....
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...Online Information Review Vol. 33 No. 4, 2009 pp. 761-784 q Emerald Group Publishing Limited 1468-4527 DOI 10.1108/14684520910985710 The technology acceptance model (TAM) (Davis, 1989) is widely used to explain individuals’ intentions and actual use of information technology (IT)....
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...Theoretical background Technology acceptance model and online shopping value The TAM (Davis, 1989; Davis et al., 1989) was originally developed to predict users’ initial adoption or use of a new IT in the workplace....
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Journal Article•DOI•

Perceived usefulness, perceived ease of use, and user acceptance of information technology

[...]

Fred D. Davis¹•Institutions (1)

University of Michigan¹

01 Sep 1989-Management Information Systems Quarterly

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.

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Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

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40,720 citations

Journal Article•DOI•

Multivariate Data Analysis

[...]

Joseph F. Hair

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.

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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.

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37,124 citations