Explaining consumer implementation intentions in mobile shopping with SEM and fsQCA: Roles of visual and technical perceptions

Wang, Lin; Wang, Zhihua; Wang, Xiaoying; Zhao, Yang

doi:10.1016/j.elerap.2021.101080

Cited by 39 publications

(29 citation statements)

References 106 publications

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“…, 2020b; Lu et al. , 2011; Wang, 2022). Moreover, studies on smart retailing and the S-O-R model suggest that design attractiveness (Chaouali et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…We selected these attributes because they seemed the most relevant in terms of mobile payment usage intentions (Fang et al, 2017;Li ebana-Cabanillas et al, 2018;Lin et al, 2020b;Ooi and Tan, 2016;Ozturk et al, 2017;Ramos-de-Luna et al, 2016). According to DOI theory (Rogers, 1995), relative advantage and compatibility are the most reliable indicators of FinTech technology innovation adoption, particularly big data analytics adoption (Youssef et al, 2022), financing adoption (Amin et al, 2013), mobile banking adoption (Kaabachi and Obeid, 2016;Makanyeza, 2017;Mullan et al, 2017) and mobile payment adoption (Arvidsson, 2014;Hsieh, 2021;Lin et al, 2020b;Lu et al, 2011;Wang, 2022). Moreover, studies on smart retailing and the S-O-R model suggest that design attractiveness (Chaouali et al, 2019;Demoulin and Willems, 2019;Kumar and Shah, 2021;Lee et al, 2011;Rosen and Purinton, 2004;Sahoo and Pillai, 2017) and privacy/security (Lin et al, 2020b;Ozturk et al, 2017) are vital environmental cues affecting users' emotion, cognition and behavioral responses.…”

Section: Nfc Paymentmentioning

confidence: 99%

“…Although FRP has great promise, scant research on this subject exists. Previous studies on contactless payments have mainly focused on NFC payments, including their relative advantage (Arvidsson, 2014;Hsieh, 2021;Lin et al, 2020b;Lu et al, 2011;Wang, 2022), compatibility (Li ebana-Cabanillas et al, 2018Lin et al, 2020b;Ooi and Tan, 2016;Ozturk et al, 2017; and ease of use and usefulness (de Luna et al, 2019;Mouakket, 2020;Pham and Ho, 2015). Few studies have explored specific issues related to the continuous usage of FRP.…”

Section: Introductionmentioning

confidence: 99%

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Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era

Lee

Pan

2022

IJBM

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PurposeFinancial technology (FinTech) is undergoing a transformation as a result of robotics and artificial intelligence. FinTech service providers are embracing contactless technology, including the development and widespread adoption of innovative payment service. Among the many types of contactless payment services, facial recognition payment (FRP) has gained in popularity. To capitalize on this rising popularity, comprehending the mechanisms underlying continuous usage intention toward FRP is essential. Drawing from the stimulus–organism–response (S-O-R) model, this study investigates how FRP attributes facilitate continuous usage intention.Design/methodology/approachIn total, 321 Chinese FRP users completed an online survey. Partial least squares structural equation modeling analyzed the results of the survey.FindingsThe results reveal that relative advantage and compatibility, user-interface attractiveness and perceived security (stimuli) promote performance expectancy, effort expectancy and positive emotion (organism), which in turn foster FRP continuous usage intention (response).Originality/valueThis research presents an S-O-R model that incorporates several attributes from DOI theory, the UTAUT model and the AIDUA framework to elucidate the antecedents of consumers' continuous usage intention toward FRP. The findings corroborate the significance of the S-O-R mechanism in FRP, setting the groundwork for the acceptance and development of biometric authentication technologies in service contacts and banks. In addition, the study highlights opportunities and essential aspects for FinTech service developers and providers to consider in terms of their practical significance.

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“…, 2020b; Lu et al. , 2011; Wang, 2022). Moreover, studies on smart retailing and the S-O-R model suggest that design attractiveness (Chaouali et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Nfc Paymentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era

Lee

Pan

2022

IJBM

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“…First, we tested the validity of the solutions by splitting each subsample into two random groups. The paths that exhibited high consistency and coverage for both subsamples were determined as valid con gurations (Schneider & Wagemann, 2010;Pappas & Woodside, 2021;Wang et al, 2021).…”

Section: Hypothesis Testingmentioning

confidence: 99%

The Impact of Word-of-Mouth Communication on Consumer choices and Satisfaction: An Empirical Study of Students’ Perspective

Khoshtaria

Matin

Mercan

et al. 2023

Preprint

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With the number of existing studies and the contradiction of their conclusions about the word-of-mouth (WOM) phenomenon, there is a need to develop an all-embracing model capable of integrating prior findings and identifying future postulates. Therefore, this study explores the impact of WOM communication on students’ choice of university and satisfaction. The following work discusses the effect of WOM on students’ decision-making in the context of the likelihood elaboration model (ELM). Data was collected from the general population of 160000 students from different Georgia universities. We utilised deductive reasoning and quantitative and qualitative strategies such as focus groups followed by larger-scale surveys. We found that students are more inclined to choose the university when they are sure about WOM message source credibility and the quality of the message being transmitted. On the contrary, the mentioned WOM features do not persuade them to form a strong reputation for the university.

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“…Trust was found to be a key driver of purchase intention in the context of online retailing and social media (e.g., Khan et al, 2021b , Khan et al, 2021c ; Moslehpour et al, 2021 ; L. Wang et al, 2021 ). As a result, customers' willingness to use a system is favourably influenced by their level of trust.…”

Section: Conceptual Framework and Hypotheses Developmentmentioning

confidence: 99%

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

Alzaidi

Agag

2022

Journal of Retailing and Consumer Services

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Explaining consumer implementation intentions in mobile shopping with SEM and fsQCA: Roles of visual and technical perceptions

Cited by 39 publications

References 106 publications

Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era

Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era

The Impact of Word-of-Mouth Communication on Consumer choices and Satisfaction: An Empirical Study of Students’ Perspective

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

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