Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

Wu, Ing-Long; Chiu, Mai-Lun; Chen, Kuei-Wan

doi:10.1016/j.ijinfomgt.2020.102099

Cited by 244 publications

(258 citation statements)

References 76 publications

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“…Previous studies noted that flow experience with technology follows a sequential mechanism composed of three stages, namely flow antecedents, flow experience and flow consequences and facilitated by various elements (Guo, Xiao, et al, 2016; Hoffman & Novak, 2009; Wu et al, 2020). However, the findings of this study indicate that IS scholars have not drawn a sharp distinction between the antecedents of flow and the experience of the flow itself, and no consensus exists about the conceptualization of flow in the IS life cycle.…”

Section: Discussion and Future Research Agendamentioning

confidence: 99%

Flow theory in the information systems life cycle: The state of the art and future research agenda

Bölen

Calisir

Özen

2021

Int J Consumer Studies

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Flow theory has been widely applied to understand user behaviour in the different phases of the information systems life cycle during last two decades. Nevertheless, its application is complicated due to issues and challenges related to the broad nature of information technology and human behaviour. Specifically, there is a lack of consensus on the conceptualization of flow in the IS context, and much uncertainty still exists about the key topics and the relationship between antecedents, dimensions and consequences of flow experience. However, a systematic review of how the flow phenomenon is conceptualized and operationalized within the IS life cycle has not been addressed yet. Therefore, studies based on the flow framework within the IS life cycle have mostly emerged without a research agenda and theoretical guidance. Aiming to fill this gap, this study systematically reviews flow studies related to three main phases of the life cycle of an IS, namely adoption, continuance and discontinuance. A total of 81 peer‐reviewed articles published from 2000 to 2019 were identified for analysis. The findings present a comprehensive view of literature by analysing characteristics of reviewed studies in terms of research methods, research contexts and popular theoretical lenses used with flow theory. Furthermore, the results show antecedents, dimensions and outcomes of flow that have been relatively well or under‐investigated. Finally, based on these findings, research gaps and directions for future research are provided.

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Section: Discussion and Future Research Agendamentioning

confidence: 99%

Flow theory in the information systems life cycle: The state of the art and future research agenda

Bölen

Calisir

Özen

2021

Int J Consumer Studies

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“…The OIBB research is an emergent field of research; numerous studies inspecting OIBB are still rare (Turkyilmaz, Erdem & Uslu, 2015). Previous researchers have reported that greater than 50% of e-shopping has been conducted due to consumer's OIBB (Zheng, Men, Yang, & Gong, 2019;Wu, Chiu, & Chen, 2020). Additionally, it would seem valuable to explore this phenomenon in an online context, considering the significance for companies about impulse buying (Aragoncillo & Orus, 2018).…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Influence of Situational Factors on Online Impulse Buying Behavior: A Study of Pakistani Consumers

Iftikhar

Iqbal

2020

GMSR

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This study seeks to find out online impulse buying behaviour in the Pakistan e-commerce industry by investigating the contributing factors of money availability, time availability, family influence, serendipitous information and scarcity messages towards online impulse buying behaviour. It investigated the mediating role of the urge to buy impulsively between the factors and online impulse buying behaviour. From a sample of 472 students of 4 Pakistani universities, the data was gathered. Moreover, to analyze the data and to test hypotheses, PLS-SEM was employed, which showed money availability, time availability, scarcity messages, serendipitous information, family influence were significantly related to online impulse buying behaviour. The findings will be helpful for e-retailers in creating e-marketing strategies, delivering their promises and generating sales through effectively designing their promotional plans.

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“…Chiu et al ( 2014 ) argued that the issues of online communication made information-based risk an uncertain factor in the e-commerce environment, including security, recommendation and personal privacy. Wu et al ( 2020 ) proposed that perceived risk has four attributes that include financial, product, recommendation, and security in online stores. Nepomuceno et al ( 2014 ) redefined it as the subjective expectation of loss.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

A Study of Young Chinese Intentions to Purchase “Online Paid Knowledge”: An Extended Technological Acceptance Model

Chen

et al. 2021

Front. Psychol.

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Under the catalysis of knowledge anxiety and cognitive surplus, knowledge sharing platforms has experienced rapid growth, which has accelerated the integration of knowledge resources online. As with all new successful and sustainable business products, the consumers will play an important role in the future development of online paid knowledge. Therefore, we constructed an extended technological acceptance model by examining factors that influence young Chinese people's willingness to pay for online paid knowledge. The study surveyed 405 young Chinese participants, in which the extended technological acceptance model was tested by using structural equation modeling. Findings indicate that perceived ease of use is positively associated with perceived usefulness and associated attitudes, whereas perceived usefulness and attitude is positively associated with purchase intention. Perceived risk and group conformity are found to indirectly affect consumers' willingness to pay. The study advances the current body of knowledge by empirically testing the impact of perceived risk and the role of cultural influence (group conformity) on purchasing intention. Finally, theoretical and practical implications are discussed.

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Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

Cited by 244 publications

References 76 publications

Flow theory in the information systems life cycle: The state of the art and future research agenda

Flow theory in the information systems life cycle: The state of the art and future research agenda

Analyzing the Influence of Situational Factors on Online Impulse Buying Behavior: A Study of Pakistani Consumers

A Study of Young Chinese Intentions to Purchase “Online Paid Knowledge”: An Extended Technological Acceptance Model

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