The Study on the Determinants of the Online Consumers' Intention to Return

Lu, Cheng-Tsung; Zhu, Dauw-Song

doi:10.1109/icis.2010.88

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…SEM was utilised by Chan et al [2005] to examine the multiple causal relationships among the performances for different tasks (modeling, query writing, query comprehension) performed by the users of a database interface, in which the data model and query language are major components. A structural equation model was also used to investigate users' behaviour within community networks 4 by Kwon and Onwuegbuzie [2005], Bulletin Board Systems by Chen and Chiu [2007], Wikipedia by Cho et al [2010], social network systems by Kipp and Joo [2010] and Park [2014], electronic commerce by Lu and Zhu [2010] and Afzal [2013], library systems by Sin [2010], exploratory search by O'Brien and Toms [2013], agile software development by Senapathi and Srinivasan [2014], and online education by Zhang and Dang [2015]. Kher et al [2009] used a variation of SEM called Latent Growth Modeling to study longitudinal data where time is a relevant variable.…”

Section: Structural Equation Modelling and Other Domainsmentioning

confidence: 99%

Evaluation of information retrieval systems using structural equation modeling

Melucci

Paggiaro

2019

Computer Science Review

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The interpretation of the experimental data collected by testing systems across input datasets and model parameters is of strategic importance for system design and implementation. In particular, finding relationships between variables and detecting the latent variables affecting retrieval performance can provide designers, engineers and experimenters with useful if not necessary information about how a system is performing. This paper discusses the use of Structural Equation Modelling (SEM) in providing an in-depth explanation of evaluation results and an explanation of failures and successes of a system; in particular, we focus on the case of Information Retrieval.

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Section: Structural Equation Modelling and Other Domainsmentioning

confidence: 99%

Evaluation of information retrieval systems using structural equation modeling

Melucci

Paggiaro

2019

Computer Science Review

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“…,Wells, Moriarty and Burnett (2006),Wright (2006),Chen and Barnes (2007),Choe, Hwang, Kim and Moon (2007),Chu and Lu (2007),Salo and Karjaluoto (2007),Atchariyachanvanich and Sanehara (2008), Grabner-Krauter and Faullant(2008),Ranaweera et al (2008),Benamati, Fuller, Serva and Barioudi (2009),Taylor and Strutton (2009), Doong, Tai and,Lin, Wang and Hwang (2010),Lu and Zhu (2010),Wang and Liang (2010),Wyer and Xu (2010) are applied to the new online consumer behaviour context/ perspective of this article.…”

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confidence: 97%

Theoretical criteria for online consumer behaviour: web-based communication exposure and internal psychological behavioural processes approaches

Hanekom

Barker

2016

Communicatio

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To cite this article: Janette Hanekom & Rachel Barker (2016) Theoretical criteria for online consumer behaviour: web-based communication exposure and internal psychological behavioural processes approaches, Communicatio, 42:1, 75-99, AbStRACt Various theories, theoretical viewpoints and models on consumer behaviour stipulate consumers' offline and online behaviour when purchasing a product or using a service. this article deviates from the purchasing perspective and instead Downloaded by [The University Of Melbourne Libraries] at 02:46 29 March 2016 76 Janette Hanekom and Rachel Barker Theoretical criteria for online consumer behaviourproposes an information and web-based communication message 'seeking and consumption' perspective. this new perspective is theoretically grounded in two new approaches to online consumer behaviour: the web-based communication exposure and internal psychological behavioural processes approaches; as well as the integration of various theoretical perspectives, approaches, theories and models that address fragments of offline and online consumer behaviour. The research problem is to address the existing limited and fragmented approaches, because existing purchasing perspectives arguably do not provide adequate theoretical criteria to explain online consumer behaviour during interactive information-seeking and consumption activities. Hence, the main aim of this article is to propose new theoretical criteria for online consumer behaviour to address these shortcomings.Keywords: determinants of consumer behaviour; consumer decision making; consumer information processing and response; information consumption; internal psychological behavioural processes; online consumer behaviour; web-based communication exposure iNtROduCtiON

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Understanding individuals’ initial and continued use of online auction marketplaces

Schlaegel

2015

Management Research Review

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Purpose – The current study aims to systematically review the existing literature, identify the main determinants that impact individuals’ perceptions, attitude, intention and behavior and meta-analytically evaluate their respective strength. Moreover, this study examines the specific mechanism through which more distal factors, such as trust, risk, experience and enjoyment influence individuals’ decision in the context of online auction markets. Finally, the moderating effects of contextual and methodological factors that could potentially influence the relationships are explored. During the past two decades, a large number of empirical studies examined the factors that hinder or foster individuals’ initial and continued acceptance of online auction marketplaces. Design/methodology/approach – Based on the effect sizes reported, 91 studies, including 95 independent samples (N = 36.788), the current study utilizes bivariate meta-analysis, meta-analytic structural equation modeling and weighted least squares regression moderator analysis to examine the nature of the identified relationships, the mechanisms through which they operate and the boundary conditions under which they do or do not hold. Findings – The results show that trust and experience explain individuals’ initial usage intention, while risk and experience explain actual usage behavior, indicating that these variables are viable extensions to the technology acceptance model in the context of online auction marketplaces. The results also demonstrate that, once individuals participate in online auction markets, trust and enjoyment are important predictors of satisfaction, which, in turn, is the strongest determinant of loyalty intention. Furthermore, the results demonstrate that cultural context acts as moderator and, to some degree, explains the mixed empirical findings in prior research. Originality/value – This study contributes to the existing literature by identifying the main determinants and their average direct and indirect effect on the individuals’ decisions in online auction marketplaces. The findings provide critical insights into the complex network of relationships which impact individuals’ perceptions, attitude, intention and behavior to initially and continuously use online auction marketplaces. Furthermore, the result contributes to the existing research by examining the effect of contextual and methodological boundary conditions – moderating factors that are difficult to test in primary studies.

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The Study on the Determinants of the Online Consumers' Intention to Return

Cited by 6 publications

References 30 publications

Evaluation of information retrieval systems using structural equation modeling

Evaluation of information retrieval systems using structural equation modeling

Theoretical criteria for online consumer behaviour: web-based communication exposure and internal psychological behavioural processes approaches

Understanding individuals’ initial and continued use of online auction marketplaces

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