Revealing the Influential Factors Driving Social Commerce Adoption

Q2 Computer Science
Ahmad Samed Al-Adwan
{"title":"Revealing the Influential Factors Driving Social Commerce Adoption","authors":"Ahmad Samed Al-Adwan","doi":"10.28945/4438","DOIUrl":null,"url":null,"abstract":"Aim/Purpose: This study aims to identify the main factors influencing consumers’ adoption of social commerce (s-commerce). Based on the socio-technical theory, the study suggests a research model that investigates the key social and technical factors driving consumers’ decision to purchase from social commerce websites. In addition, the research model explores the interactive relationship among these factors. \n\nBackground: The phenomenon of social commerce (s-commerce) has emerged due to the increased penetration of social media and the rapid development of Web 2.0 technologies. Electronic commerce (e-commerce) companies have made significant efforts to shift their operations to s-commerce. Therefore, to facilitate their efforts to transform, various research has been conducted to investigate the main factor influencing the adoption of s-commerce. Most of these studies have emphasised the social aspects related to s-commerce design features to understand how the use of advanced web technologies influence how customers interact with each other in s-commerce environments. However, s-commerce is viewed as a socio-technical system that requires the investigation of both social and technical factors to help in the design of effective s-commerce platforms.\n\nMethodology: To validate the proposed research model, 418 paper-based and online questionnaires were collected from online shoppers in Jordan. The Structure Equation Modelling (SEM) approach was used to test the proposed hypotheses. \n\nContribution: This study offers a research model that serves as a theoretical framework for investigating customers’ behaviour in s-commerce environment. It represents a strong context-specific model that includes both the technical and social facilitators of s-commerce. The research model participates in gaining an improved understanding of how customers’ intention, actual purchase and post-purchase experience are formed in the s-commerce environment.\n\n\nFindings: The results of Structure Equation Modelling (SEM) reveal that s-commerce constructs, familiarity and user experience have a positive influence on the perceived usefulness and perceived ease of use of s-commerce. In addition, perceptions of its usefulness and ease of use have a positive influence on trust, which in turn influences the purchase intention and the actual purchase. Finally, the post-purchase experience significantly influences both trust and purchase intention. \n\n\nRecommendations for Practitioners: This study shows that social commerce constructs strengthen customers’ perceptions of usefulness. S-commerce service providers are required to provide their customers with various channels to seek social support. Both familiarity and user experience are key enablers of customers’ perceived ease of use. S-commerce service providers consider the variation in customers’ familiarity and experience with s-commerce websites because this has a significant influence on purchase intentions and behaviour. Consequently, system designers should offer useful and sufficient information and tutorials that effectively guide customers in their searching, decision-making and purchasing activities throughout the shopping process. S-commerce service providers should understand the importance of providing secure payment systems and make their privacy policies clear to customers. Post-purchase experience has an influential role in reinforcing customers’ trust and purchase intention. The findings confirm the important role of post-purchase experience in retaining customers by improving their trust and repurchase intention. Therefore, making a customer’s post-purchase experience pleasant should be a key priority for s-commerce service providers because it has a significant influence on customers’ trust and repurchase intentions. \n\nRecommendation for Researchers: This study offers a unidimensional conceptualisation of the design features of s-commerce. These features include three main forms: recommendations and referrals, communities and forums, and reviews and ratings. Such conceptualisation provides additional insights and an understanding of the activities of information sharing in s-commerce. The significance of the technical side of s-commerce is highlighted and empirical proof is provided that social interactions guided by social technologies enhance customers’ perceived usefulness of an s-commerce website, thus increasing their trust and intention to purchase which leads to an actual purchase. This offers insights into the various types of s-commerce characteristics that contribute to facilitating customers’ purchase behaviour on s-commerce websites. \n\nImpact on Society: The findings offer insights which have important implications for research and practice to help facilitate the adoption of s-commerce. \n\nFuture Research: This study considered the s-commerce websites as a homogenous online environment. Additional research could collect data from diverse online communities, such as professional groups, to provide a comprehensive understanding of how a wider variety of user behaviour is affected. Second, this was a quantitative study based on data collected in a questionnaire. Further studies may consider using qualitative or mixed methodologies (i.e. focus groups and interviews) to explore other technical and social factors that influence the use of s-commerce. \n\n","PeriodicalId":38962,"journal":{"name":"Interdisciplinary Journal of Information, Knowledge, and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary Journal of Information, Knowledge, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28945/4438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 36

Abstract

Aim/Purpose: This study aims to identify the main factors influencing consumers’ adoption of social commerce (s-commerce). Based on the socio-technical theory, the study suggests a research model that investigates the key social and technical factors driving consumers’ decision to purchase from social commerce websites. In addition, the research model explores the interactive relationship among these factors. Background: The phenomenon of social commerce (s-commerce) has emerged due to the increased penetration of social media and the rapid development of Web 2.0 technologies. Electronic commerce (e-commerce) companies have made significant efforts to shift their operations to s-commerce. Therefore, to facilitate their efforts to transform, various research has been conducted to investigate the main factor influencing the adoption of s-commerce. Most of these studies have emphasised the social aspects related to s-commerce design features to understand how the use of advanced web technologies influence how customers interact with each other in s-commerce environments. However, s-commerce is viewed as a socio-technical system that requires the investigation of both social and technical factors to help in the design of effective s-commerce platforms. Methodology: To validate the proposed research model, 418 paper-based and online questionnaires were collected from online shoppers in Jordan. The Structure Equation Modelling (SEM) approach was used to test the proposed hypotheses. Contribution: This study offers a research model that serves as a theoretical framework for investigating customers’ behaviour in s-commerce environment. It represents a strong context-specific model that includes both the technical and social facilitators of s-commerce. The research model participates in gaining an improved understanding of how customers’ intention, actual purchase and post-purchase experience are formed in the s-commerce environment. Findings: The results of Structure Equation Modelling (SEM) reveal that s-commerce constructs, familiarity and user experience have a positive influence on the perceived usefulness and perceived ease of use of s-commerce. In addition, perceptions of its usefulness and ease of use have a positive influence on trust, which in turn influences the purchase intention and the actual purchase. Finally, the post-purchase experience significantly influences both trust and purchase intention. Recommendations for Practitioners: This study shows that social commerce constructs strengthen customers’ perceptions of usefulness. S-commerce service providers are required to provide their customers with various channels to seek social support. Both familiarity and user experience are key enablers of customers’ perceived ease of use. S-commerce service providers consider the variation in customers’ familiarity and experience with s-commerce websites because this has a significant influence on purchase intentions and behaviour. Consequently, system designers should offer useful and sufficient information and tutorials that effectively guide customers in their searching, decision-making and purchasing activities throughout the shopping process. S-commerce service providers should understand the importance of providing secure payment systems and make their privacy policies clear to customers. Post-purchase experience has an influential role in reinforcing customers’ trust and purchase intention. The findings confirm the important role of post-purchase experience in retaining customers by improving their trust and repurchase intention. Therefore, making a customer’s post-purchase experience pleasant should be a key priority for s-commerce service providers because it has a significant influence on customers’ trust and repurchase intentions. Recommendation for Researchers: This study offers a unidimensional conceptualisation of the design features of s-commerce. These features include three main forms: recommendations and referrals, communities and forums, and reviews and ratings. Such conceptualisation provides additional insights and an understanding of the activities of information sharing in s-commerce. The significance of the technical side of s-commerce is highlighted and empirical proof is provided that social interactions guided by social technologies enhance customers’ perceived usefulness of an s-commerce website, thus increasing their trust and intention to purchase which leads to an actual purchase. This offers insights into the various types of s-commerce characteristics that contribute to facilitating customers’ purchase behaviour on s-commerce websites. Impact on Society: The findings offer insights which have important implications for research and practice to help facilitate the adoption of s-commerce. Future Research: This study considered the s-commerce websites as a homogenous online environment. Additional research could collect data from diverse online communities, such as professional groups, to provide a comprehensive understanding of how a wider variety of user behaviour is affected. Second, this was a quantitative study based on data collected in a questionnaire. Further studies may consider using qualitative or mixed methodologies (i.e. focus groups and interviews) to explore other technical and social factors that influence the use of s-commerce.
揭示推动社交商务采用的影响因素
目的:本研究旨在确定影响消费者采用社交商务(s-commerce)的主要因素。基于社会技术理论,本研究提出了一个研究模型,该模型研究了推动消费者从社交商务网站购买决策的关键社会和技术因素。此外,研究模型还探讨了这些因素之间的互动关系。背景:随着社交媒体的普及和Web 2.0技术的快速发展,社交商务(s-commerce)现象应运而生。电子商务(电子商务)公司已经做出了重大努力,将其业务转移到s-commerce。因此,为了促进他们的转型,人们进行了各种研究,以调查影响电子商务采用的主要因素。这些研究大多强调与电子商务设计特征相关的社会方面,以了解先进网络技术的使用如何影响电子商务环境中客户之间的互动方式。然而,电子商务被视为一个社会技术系统,需要对社会和技术因素进行调查,以帮助设计有效的电子商务平台。方法:为了验证提出的研究模型,从约旦的在线购物者中收集了418份纸质和在线问卷。采用结构方程建模(SEM)方法对提出的假设进行检验。贡献:本研究提供了一个研究模型,作为研究电子商务环境下顾客行为的理论框架。它代表了一个强大的特定于上下文的模型,其中包括s-commerce的技术和社会促进者。该研究模型有助于更好地理解在s-commerce环境下顾客的意向、实际购买和购后体验是如何形成的。研究发现:结构方程模型(SEM)结果显示,s-commerce结构、熟悉度和用户体验对s-commerce感知有用性和感知易用性有正向影响。此外,对其有用性和易用性的感知对信任有正向影响,信任反过来影响购买意愿和实际购买。最后,购后体验对信任和购买意愿都有显著影响。对从业者的建议:本研究表明,社交商务结构增强了客户对有用性的感知。要求S-commerce服务提供商为其客户提供各种寻求社会支持的渠道。熟悉度和用户体验都是客户感知易用性的关键因素。S-commerce服务提供商考虑客户对S-commerce网站的熟悉程度和经验的变化,因为这对购买意愿和行为有重大影响。因此,系统设计者应该提供有用的和充分的信息和教程,有效地指导客户在整个购物过程中的搜索、决策和购买活动。电子商务服务提供商应了解提供安全支付系统的重要性,并向客户明确其隐私政策。购后体验对增强顾客信任和购买意愿有影响作用。研究结果证实了购后体验在通过提高顾客信任和再购买意愿来留住顾客方面的重要作用。因此,让顾客的购后体验愉快应该是s-commerce服务提供商的一个关键优先事项,因为它对顾客的信任和再购买意愿有重大影响。对研究人员的建议:本研究提供了s-commerce设计特征的单向度概念化。这些功能包括三种主要形式:推荐和推荐,社区和论坛,以及评论和评级。这种概念化提供了对s-commerce中信息共享活动的额外见解和理解。本文强调了s-commerce技术方面的重要性,并提供了经验证据,证明由社交技术引导的社交互动增强了客户对s-commerce网站的感知有用性,从而增加了他们的信任和购买意愿,从而导致实际购买。这提供了对各种类型的电子商务特征的见解,这些特征有助于促进客户在电子商务网站上的购买行为。对社会的影响:研究结果为研究和实践提供了重要的启示,有助于促进电子商务的采用。未来研究:本研究将电子商务网站视为一个同质的网络环境。 额外的研究可以从不同的在线社区收集数据,比如专业团体,以全面了解更广泛的用户行为是如何受到影响的。其次,这是一项基于问卷收集数据的定量研究。进一步的研究可考虑使用定性或混合方法(即焦点小组和访谈)来探索影响电子商务使用的其他技术和社会因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
14
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信