L’acceptation des applications mobiles de MaaS  : une application de l’UTAUT2 au contexte des villes intelligentes françaises

Lebrument, Norbert; Zumbo-Lebrument, Cédrine; Rochette, Corinne

doi:10.3917/sim.214.0019

Cited by 4 publications

(1 citation statement)

References 112 publications

(109 reference statements)

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“…One possible explanation for the obtained results is that the impact of the UTAUT-2 components is subject to variation depending on the specific conditions and populations under investigation [125]. For example, effort expectation has had a substantial impact on social commerce customers in the contexts of Sweden [126], France [127], Spain [128], and China [78], whereas its impact has not been significant in some other research populations, such as Tunisia [129], Türkiye [130], Indonesia [131], Vietnam [132], and Qatar [133]. In the scope of the current research, the possible explanation for the insignificant effects performance and effort expectancies might be that Instagram is the most popular social network site in Iran [134] and the preferred platform for social commerce [48,135].…”

Section: Discussion Of Key Findingsmentioning

confidence: 99%

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

Poureisa,

Aziz,

2024

Sustainability

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Promoting organic foods production and consumption contributes to accomplishing the United Nations’ sustainable development goals. Social commerce provides a promising opportunity to develop the organic food industry. However, there is limited knowledge regarding customer behaviors in relation to purchasing organic foods via social commerce platforms. Therefore, this study expanded upon the unified theory of acceptance and use of technology (UTAUT-2) to develop a comprehensive model that explains how customers’ social commerce trust and behavioral intentions to purchase organic foods using Instagram social commerce affect their purchasing behaviors. The research model was analyzed by employing partial least squares structural equation modeling (PLS-SEM) for the data collected from a quantitative survey of 410 customers who used Instagram to purchase organic foods in Iran. The results revealed that Instagram social commerce-facilitated purchasing conditions, hedonic motivations, social influence, ratings and reviews, and influencers’ endorsements positively influenced customers’ purchase intentions. Moreover, Instagram’s recommendations and referrals, influencers’ endorsements, as well as social influence boost customers’ trust in the social commerce platform. Eventually, it was determined that influencers’ endorsements, social commerce trust, and purchase intention determine a customer’s organic foods purchasing behaviors. This research provides valuable insights for organic food marketers to optimize their social commerce strategies.

show abstract

Section: Discussion Of Key Findingsmentioning

confidence: 99%

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

Poureisa,

Aziz,

2024

Sustainability

View full text Add to dashboard Cite

show abstract

From words to deeds: when digital app acceptance turns into sustainable mobility behaviours. Methodologies and insights from MaaS experiences

Costa,

Delponte

2024

Urban, Planning and Transport Research

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Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

Poureisa,

Aziz,

2024

Preprint

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Promoting organic foods production and consumption contributes to accomplishing United Nations sustainable development goals. Social commerce provides a promising opportunity to develop the organic food industry. However, there is limited knowledge regarding customer behaviors in relation to purchasing organic foods via social commerce platforms. Therefore, this study expanded upon the unified theory of acceptance and use of technology (UTAUT-2) to develop a comprehensive model that explains how customers' social commerce trust and behavioral intentions to purchase organic foods using Instagram social commerce affect their purchasing behaviors. The research model was analyzed by employing partial least squares structural equation modeling (PLS-SEM) for the data collected from a quantitative survey of 410 customers who used Instagram to purchase organic foods in Iran. The results revealed that facilitated purchasing conditions, hedonic motivations, social influence, rating and reviews, and influencers’ endorsements increase customers' purchase intentions. Moreover, Instagram’s recommendations and referrals, influencers’ endorsements, as well as social influence boost customers' trust in the social commerce platform. Eventually, it was determined that influencers’ endorsements, social commerce trust, and purchase intention determine a customer’s organic foods purchasing behaviors. This research provides valuable insights for organic food marketers to optimize their social commerce strategies.

show abstract

L’acceptation des applications mobiles de MaaS : une application de l’UTAUT2 au contexte des villes intelligentes françaises

Cited by 4 publications

References 112 publications

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

From words to deeds: when digital app acceptance turns into sustainable mobility behaviours. Methodologies and insights from MaaS experiences

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

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