Consumer behavior in social commerce: Results from a meta-analysis

Mou, Jian; Benyoucef, Morad

doi:10.1016/j.techfore.2021.120734

Cited by 81 publications

(90 citation statements)

References 102 publications

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“…The scholar explores consumer behavior in the enterprise supply chain through the UTAUT research. This study contributes to a better understanding of potential consumer behavior [51]. In this cluster, reference [52] explored the determinants of stock investors' willingness to use mobile stock trading.…”

Section: Research Topics and Future Research Directionsmentioning

confidence: 99%

Research Trend of the Unified Theory of Acceptance and Use of Technology Theory: A Bibliometric Analysis

Wang

et al. 2021

Sustainability

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Information technology-acceptance research has always been a research hotspot. In 2003, Venkatesh established the unified theory of acceptance and use of technology (UTAUT), which pushed information technology-acceptance research to a new climax. This study uses bibliometrics, Bibliometrix, and CiteSpace software to conduct data mining and quantitative analysis on 1694 research papers in the UTAUT in the Web of Science core collection database from 2003 to 2021 (the data update time is 13 August 2021). Combined with a visual bibliometric analysis, this paper makes an in-depth discussion on the UTAUT model from the aspects of research trends, research fields, main research journals, authors/institutions, national or regional cooperation networks, etc. This study comprehensively and systematically shows the evolution track and characteristics of the UTAUT. On this basis, the future development trend of the UTAUT is put forward.

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Section: Research Topics and Future Research Directionsmentioning

confidence: 99%

Research Trend of the Unified Theory of Acceptance and Use of Technology Theory: A Bibliometric Analysis

Wang

et al. 2021

Sustainability

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“…As the SNS platform becomes global, the question of privacy practices in a cross-cultural context becomes increasingly important. A study from Liang et al [6] examined cultural variations of profile settings in privacy and self-disclosure through geolocation facilities on Twitter. Liang et al randomly selected 3.3 million Twitter accounts from more than 100 demographic groups.…”

Section: Privacymentioning

confidence: 99%

Meta-Analysis of Social Networking Sites for the Purpose of Preventing Privacy Threats in the Digital Age

Álvarez

Chen

2021

J. Appl. Data Sci.

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This article will discuss the challenges to privacy and data mining in social networking sites (Social Networking Sites). The author begins by defining privacy and data mining in today's big data sector before doing a meta-synthesis analysis. Numerous references and literature reviews were undertaken in order to compile material pertinent to the topic of privacy risks and data mining on social networking sites. According to the researchers' conceptualization, privacy concerns and data mining on SNS can be classified into three categories: multimedia content threats, traditional threats, and social threats. Each category is subdivided into multiple threat types. The author notes that in addition to utilizing the privacy measures offered by the SNS site, users must develop an early understanding of the difference between information and secrets. Users must use caution when deciding what content to share on social media platforms and what not to share.

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“…Trust is an essential factor when looking at it directly in the context of online shopping behavior. In publication [7] emphasizes the sensitivity of individuals to the ratio of payments. The results of the study strongly show how closely trust is linked to consumer behavior as such.…”

Section: Related Workmentioning

confidence: 99%

E-Commerce Retail Customers Repurchase Factors Influencing Identification

Pekša

2021

ETR

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With the fast-paced technological development era and the importance of using the Internet in our daily lives, e-commerce as shopping no longer seems new or unusual. Regardless of type or size, companies are using e-commerce advantage to compete in the market. Each of these companies needs a circle of independent and loyal customers. When the customer is satisfied, he gives positive feedback about the company and makes a repeat purchase. In this way, he attracts new customers to the company and provides an independent income for the company. Certain factors influence the customer's attitude and behavior. It is essential to determine what influences their customers' choices when competing to earn profit in the market; the customer must be satisfied in order for him to want to make a repurchase. Repurchases from customers indicate a loyalty to the company. Customer loyalty can be the result of a company consistently meeting and exceeding its customer expectations. Customer loyalty can have a significant impact on business growth. To assess and identify the factors influencing customer satisfaction, they are identified and offered a conceptual reflection of the current situation and offer a conceptual model of Identification Causes and Effects of Customer Satisfaction Framework (IceCSF) in e-commerce retail.

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Consumer behavior in social commerce: Results from a meta-analysis

Cited by 81 publications

References 102 publications

Research Trend of the Unified Theory of Acceptance and Use of Technology Theory: A Bibliometric Analysis

Research Trend of the Unified Theory of Acceptance and Use of Technology Theory: A Bibliometric Analysis

Meta-Analysis of Social Networking Sites for the Purpose of Preventing Privacy Threats in the Digital Age

E-Commerce Retail Customers Repurchase Factors Influencing Identification

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