Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption
This study examines both technological and human perspectives on social commerce platform adoption. It analyzes user interactions, social networks, and peer recommendations to investigate the influence of social factors on adoption decisions. Furthermore, it examines how artificial intelligence is u...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Elsevier
2025-01-01
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| Series: | European Research on Management and Business Economics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2444883424000275 |
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| _version_ | 1850098639076065280 |
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| author | Shahzad Sadiq Jia Kaiwei Ihsan Aman Muhammad Mansab |
| author_facet | Shahzad Sadiq Jia Kaiwei Ihsan Aman Muhammad Mansab |
| author_sort | Shahzad Sadiq |
| collection | DOAJ |
| description | This study examines both technological and human perspectives on social commerce platform adoption. It analyzes user interactions, social networks, and peer recommendations to investigate the influence of social factors on adoption decisions. Furthermore, it examines how artificial intelligence is used to adapt social commerce. This study uses UTAUT2 and Social Cognitive theory to develop a consumer adoption model. Data were collected primarily through survey questionnaires. Structural equation modeling and confirmatory factor analysis were used to examine data from 460 respondents from different countries. According to the findings, consumers adopt social commerce platforms if they believe they are convenient and easy to use, supporting the theories of the Unified Theory of Acceptance and Use of Technology 2 and Social Cognitive theory. Behavioural intentions are influenced by social influence, habit, hedonic motivation, and AI-related experience, and trust moderates the effects.AI tools, such as chatbots and recommendation engines, can target certain consumer categories better by leveraging insights on behavioural factors influencing SC adoption. Several AI-enabled tools, such as chatbots, AI user experiences, personalized suggestions, and intelligent algorithms, are changing how players engage with SC platforms. This study will offer a novel perspective on how AI affects users' behaviour by examining the relationship between AI technology and SC adoption. |
| format | Article |
| id | doaj-art-7c58006d1f2140b7a77cbe6560ba13be |
| institution | DOAJ |
| issn | 2444-8834 |
| language | Spanish |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | European Research on Management and Business Economics |
| spelling | doaj-art-7c58006d1f2140b7a77cbe6560ba13be2025-08-20T02:40:40ZspaElsevierEuropean Research on Management and Business Economics2444-88342025-01-0131110026810.1016/j.iedeen.2024.100268Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoptionShahzad Sadiq0Jia Kaiwei1Ihsan Aman2Muhammad Mansab3School of Business Administration, Liaoning Technical University, ChinaCorresponding author at: School of Business Administration, Liaoning Technical University, China.; School of Business Administration, Liaoning Technical University, ChinaSchool of Business Administration, Liaoning Technical University, ChinaSchool of Business Administration, Liaoning Technical University, ChinaThis study examines both technological and human perspectives on social commerce platform adoption. It analyzes user interactions, social networks, and peer recommendations to investigate the influence of social factors on adoption decisions. Furthermore, it examines how artificial intelligence is used to adapt social commerce. This study uses UTAUT2 and Social Cognitive theory to develop a consumer adoption model. Data were collected primarily through survey questionnaires. Structural equation modeling and confirmatory factor analysis were used to examine data from 460 respondents from different countries. According to the findings, consumers adopt social commerce platforms if they believe they are convenient and easy to use, supporting the theories of the Unified Theory of Acceptance and Use of Technology 2 and Social Cognitive theory. Behavioural intentions are influenced by social influence, habit, hedonic motivation, and AI-related experience, and trust moderates the effects.AI tools, such as chatbots and recommendation engines, can target certain consumer categories better by leveraging insights on behavioural factors influencing SC adoption. Several AI-enabled tools, such as chatbots, AI user experiences, personalized suggestions, and intelligent algorithms, are changing how players engage with SC platforms. This study will offer a novel perspective on how AI affects users' behaviour by examining the relationship between AI technology and SC adoption.http://www.sciencedirect.com/science/article/pii/S2444883424000275L10M15M16M30M31M3 |
| spellingShingle | Shahzad Sadiq Jia Kaiwei Ihsan Aman Muhammad Mansab Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption European Research on Management and Business Economics L10 M15 M16 M30 M31 M3 |
| title | Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption |
| title_full | Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption |
| title_fullStr | Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption |
| title_full_unstemmed | Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption |
| title_short | Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption |
| title_sort | examine the factors influencing the behavioral intention to use social commerce adoption and the role of ai in sc adoption |
| topic | L10 M15 M16 M30 M31 M3 |
| url | http://www.sciencedirect.com/science/article/pii/S2444883424000275 |
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