Examining consumer adoption of social commerce: An extended META-UTAUT model

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-03-01 Epub Date: 2024-12-21 DOI:10.1016/j.techfore.2024.123956
Prianka Sarker , Laurie Hughes , Tegwen Malik , Yogesh K. Dwivedi
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Abstract

Social commerce has evolved into a mainstream channel for marketers and businesses for selling products online. However, consumers in many developing economies have yet to fully adopt social commerce technology. This research, therefore, aims to develop and empirically validate a conceptual model for understanding the factors influencing consumer adoption of social commerce in Bangladesh using an adapted and extended version of the Meta-UTAUT model. Analysis was undertaken to determine the appropriateness of external constructs such as trust, social support, anxiety, grievance redressal, innovativeness, and continuous participation intention. This research collected data from 402 social commerce users from Bangladesh to test and validate the proposed research model. The results suggest that performance expectancy, effort expectancy, innovativeness and trust have a direct influence on consumer attitude, whilst social influence, grievance redressal, facilitating conditions, social support, anxiety, and attitude, significantly influence usage behavior. The results also found that usage behavior is a strong predictor of continuous participation intention. This research contributes to existing knowledge by conceptualizing and validating a technology adoption model, which emphasizes the role of anxiety and grievance redressal in consumer acceptance of social commerce.
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检验消费者对社交商务的采用:一个扩展的META-UTAUT模型
社交商务已经发展成为营销人员和企业在线销售产品的主流渠道。然而,许多发展中经济体的消费者尚未完全采用社交商务技术。因此,本研究旨在利用Meta-UTAUT模型的改编和扩展版本,开发并实证验证一个概念模型,以了解影响孟加拉国消费者采用社交商务的因素。通过分析确定外部构念的适当性,如信任、社会支持、焦虑、冤屈补救、创新和持续参与意愿。本研究收集了来自孟加拉国的402个社交商务用户的数据来测试和验证所提出的研究模型。结果表明,绩效期望、努力期望、创新能力和信任对消费者态度有直接影响,而社会影响、冤屈补救、便利条件、社会支持、焦虑和态度对使用行为有显著影响。结果还发现,使用行为是持续参与意愿的有力预测指标。本研究通过概念化和验证技术采用模型,为现有知识做出贡献,该模型强调焦虑和申诉补救在消费者接受社交商务中的作用。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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