Adapting the UTAUT2 Model for Social Commerce Context

Shoheib, Zaki; Abu-Shanab, Emad

doi:10.4018/ijebr.293293

Cited by 13 publications

(13 citation statements)

References 56 publications

(76 reference statements)

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“…Though UTAUT3 is the latest improvement there is a dearth of studies utilizing UTAUT3 for social media research. Instead, UTAUT2 has been found more suitable for studies involving social media acceptance (Gharaibeh et al, 2020;Mishra et al, 2022;Shoheib & Abu-Shanab, 2022). It is also in line with the study conducted by Tuten (2020) that reveals that UTAUT2 explains the majority of the variation in the behavioral intention to use social media applications.…”

Section: Research Modelmentioning

confidence: 69%

“…The study addresses this issue by making use of the determinants of technology acceptance available in the UTAUT2 model proposed by Venkatesh et al (2012). This model has great relevance for social media-based research (Shoheib & Abu-Shanab, 2022). Further, the multi-group path analysis using structural equation modeling is utilized to understand the differences between two groups of generations.…”

Section: Introductionmentioning

confidence: 99%

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Age in the Acceptance of Mobile Social Media

Vasudeva

2023

International Journal of E-Adoption

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This paper focuses on determining the age-based differences among consumers in terms of the acceptance of mobile social media. In doing so, the younger age group is represented by Generation Y and the elderly by Baby Boomers. Further, the famous UTAUT2 model is applied, and relationships mentioned in it are evaluated for the two age groups. For this purpose, a sample of 249 respondents was obtained from the online survey conducted in the state of Punjab in India. The statistical technique of multi-group path analysis using structural equation modelling (SEM) is applied to the generated data. The findings of the study reveal that the young age and elderly groups differ significantly in terms of the impact of effort expectancy, facilitating conditions, hedonic motivation on behavioral intention, and facilitating conditions on use behavior. It may provide important implications for future research related to internet marketing and mobile social media.

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Section: Research Modelmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Age in the Acceptance of Mobile Social Media

Vasudeva

2023

International Journal of E-Adoption

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“…Drawing on these findings, the study offers several theoretical contributions and sheds light on several practical implications for developers, designers and decision-makers promoting the use of the Metaverse [21]. In another context, Shoeib et al, [22] applied UTAUT2 by extended the UTAUT2 with perceived value, trust and a restructured social commerce construct. The study [22] utilised 463 surveys distributed in Qatar and analysed the data using Structural Equation Model.…”

Section: The Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 93%

“…In another context, Shoeib et al, [22] applied UTAUT2 by extended the UTAUT2 with perceived value, trust and a restructured social commerce construct. The study [22] utilised 463 surveys distributed in Qatar and analysed the data using Structural Equation Model. It is reported by [22] that the results fully supported the proposed model, where trust, perceived value, facilitating conditions and hedonic motivation significantly predicted behavioural intentions with an R2 value equal to 72%.…”

Section: The Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

Adoption of Web 2.0 Social Media eCommerce in SMEs: Conceptualising Theories and Factors for Zambia

Shemi¹

2024

Social Media - Opportunities and Risks

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The application of Web 2.0 social media in eCommerce and e-marketplaces (ECEMs) in developing countries has been on the increase in recent times especially during Covid19 and beyond. However, it is still unclear what theoretical foundations and factors guide ECEM in small and medium enterprises (SMEs) in emerging markets such as Zambia. Generally, the understanding of eCommerce using Web 2.0 social media applications (WSMAs) in SMEs has lacked rigour over time as focus has shifted to pressing issues such as Covid19. This paper purposes to investigate the theoretical foundations and factors influencing WSMA for new eCommerce era in developing countries with particular emphasis on SMEs in Zambia. The methodological research design employs a qualitative study approach using literature reviews, coupled with content analysis of purposively selected articles. Results show that theories such as TAM, TPB, UTAUT2, TOE, TTF, DIT, among others, have guided eCommerce research in SWMA. Behavioural, technological and organisational factors such as trust, ease of use, after-sales logistics, price flexibility have been prevalent, among others. The paper ends with recommendations and strategies for continued adoption of WSMA by SMEs with similar geographical contexts to Zambian context.

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“…COVID-19 has influenced various global trends, one of which is the rapid expansion of online shopping via social networking sites (SNS) (Shoheib & Abu-Shanab, 2022). All transactions before, during, and after purchase on an SNS are included in social commerce (s-commerce) activities, including decisions about purchasing, purchasing preferences, and customer service (Esmaeili & Hashemi, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Atmospherics and Influencers on Purchase Intention in Social Commerce

Sindhu

Bharti

2023

Journal of Database Management

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This study uses the approach-avoidance theory to investigate the impact of the atmospherics of a social commerce page, which comprises page aesthetics and page interaction. The study looks at how a digital influencer's perceived influence affects a customer's purchase intention. The research also examines whether perceived risk influences customers' purchase intent. Four hundred twenty-eight customers who had recently engaged with a social commerce page were empirically surveyed using structural equation modeling (SEM). The research shows that page atmospherics and digital influencers do influence a customer's purchase intention through emotions and cognition in social commerce. Emotions and purchase intentions, as well as cognition and purchase intentions, are moderated by perceived risk. The findings have implications for marketers who want to develop customer engagement strategies based on social commerce platforms.

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Adapting the UTAUT2 Model for Social Commerce Context

Cited by 13 publications

References 56 publications

Age in the Acceptance of Mobile Social Media

Age in the Acceptance of Mobile Social Media

Adoption of Web 2.0 Social Media eCommerce in SMEs: Conceptualising Theories and Factors for Zambia

The Effects of Atmospherics and Influencers on Purchase Intention in Social Commerce

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