| 5,735 | 2 | 271 |
| 下载次数 | 被引频次 | 阅读次数 |
本研究探讨直播电商平台中消费者重复购买意愿的影响因素。基于刺激-反应-有机体(SOR)理论,从技术特性、临场感和用户满意视角构建理论模型。通过在线问卷搜集301份有效工作群体样本,利用PLS-SEM验证所提出的假设与模型,并通过模糊集定性比较分析(fsQCA)对不同技术特性的组合效应进行组态分析。SEM的结果显示,直播电商平台的技术特性(生动性、即时性和真实性)均显著影响消费者的临场感;临场感则通过用户满意对消费者重复购买意愿发挥完全的中介作用。而fsQCA的结果则显示,真实性是影响直播电商消费者临场感产生的核心因素。
Abstract:This study aims to explore the factors affecting the consumers' repurchase intention in thelivestreaming e-commerce. Based on the Stimulus-Organism-Response(SOR) theory, a theoretical model is constructed from the perspective of technology features, presence and user satisfaction. 301 valid data from workinggroup respondents were collected via an online questionnaire, and the proposed hypotheses and model were tested using PLS-SEM. Additionally, fsQCA was employed to examine the configurational effects of different technology features combinations. Results from SEM show that technology features of livestreaming ecommerce platform, i. e., vividness, immediacy and realness, significantly influence consumers' presence. Presence exerts a full mediating effect on consumers' repurchase intention through user satisfaction. And results from fsQCA reveal that realness is the key factor affecting the formation of consumers' presence.
[1] IIMEDIA. 2022—2023 China's live broadcast e-commerce industry operation big data analysis and trend research report[EB/OL].[2023-06-29]. https://report.iimedia.cn/repo7-0/43238.html.
[2] SUN Y, SHAO X, LI X, et al. How live streaming influences purchase intentions in social commerce:an IT affordance perspective[J]. Electronic commerce research and applications, 2019, 37:100886-100897.
[3] DONG X, WANG T. Social tie formation in Chinese online social commerce:the role of IT affordances[J]. International journal of information management, 2018, 42:49-64.
[4] MA L, GAO S, ZHANG X. How to use live streaming to improve consumer purchase intentions:evidence from China[J].Sustainability, 2022, 14(2):1045-1064.
[5] ZHANG M, LIU Y, WANG Y, et al. How to retain customers:understanding the role of trust in live streaming commerce with a socio-technical perspective[J]. Computers in human behavior, 2022, 127:107052-107065.
[6] EROGLU S, MACHLEIT K, DAVIS L. Atmospheric qualities of online retailing:a conceptual model and implications[J]. Journal of business research, 2001, 34:177-184.
[7] LIU X, ZHANG L, CHEN Q. The effects of tourism e-commerce live streaming features on consumer purchase intention:the mediating roles of flow experience and trust[J]. Frontiers in psychology, 2022, 13:995129-995142.
[8] YANG J, CAO C, YE C, et al. Effects of interface design and live atmosphere on consumers'impulse-buying behaviour from the perspective of human-computer interaction[J]. Sustainability, 2022, 14(12):7110-7130.
[9]王田,王晨悦,温烨宁.品牌直播间技术可供性对消费者忠诚的影响机制研究——基于正向情感图式的中介作用[J].新闻与传播评论, 2023, 76(5):99-114.
[10] MENG Z, LIN M. The driving factors analysis of live streamers'characteristics and perceived value for consumer repurchase intention on live streaming platforms[J]. Journal of organizational and end user computing, 2023, 35(1):1-24.
[11] HE F. The effect of live streaming commerce and influencer characteristics on repurchase intention through user flow and satisfaction:from the perspective of the stimulus-organic-response model[J]. The journal of Asian studies, 2022, 25(3):163-186.
[12] WU Y, HUANG H. Influence of perceived value on consumers'continuous purchase intention in live-streaming e-commerce:mediated by consumer trust[J]. Sustainability, 2023, 15(5):4432-4450.
[13] STEUER J. Defining virtual reality:dimensions determining telepresence[J]. Journal of communication, 1992, 42(4):73-93.
[14] FIORE A M, KIM J, LEE H H. Effect of image interactivity technology on consumer responses toward the online retailer[J].Journal of interactive marketing, 2005, 19(3):38-53.
[15] SUH K S, CHANG S. User interfaces and consumer perceptions of online stores:the role of telepresence[J]. Behaviour&information technology, 2006, 25(2):99-113.
[16] KIRK C, CHIAGOURIS L, LALA P V, et al. How do digital natives and digital immigrants respond differently to interactivity online? A model for predicting consumer attitudes and intentions to use digital information products[J]. Journal of advertising research, 2015, 55:1-14.
[17] HAN S, MIN J, LEE H. Antecedents of social presence and gratification of social connection needs in SNS:a study of Twitter users and their mobile and non-mobile usage[J]. International journal of information management, 2015, 35(4):459-471.
[18] TONG J. A study on the effect of web live broadcast on consumers'willingness to purchase[J]. Open journal of business and management, 2017, 5(2):280-289.
[19] OU C X, PAVLOU P A, DAVISON R M. Swift guanxi in online marketplaces:the role of computer-mediated communication technologies[J]. MIS quarterly, 2014, 38(1):209-230.
[20]徐震南,陈可,郭晓凌,等“.声”临其境:营销沟通中的方言积极效应[J/OL].南开管理评论:1-37[2024-02-27]. http://kns.cnki.net/kcms/detail/12.1288.f.20230216.1751.014.html.
[21] MENG-LEWIS Y, LEWIS G, LIN Z, et al. Examination of esports fans'live streaming experiences using an extended expectation-confirmation model:a case study of the king pro league[J]. International journal of human-computer interaction,2023, 40(5):1282–1297.
[22] NG M, LAW M, LAM L, et al. A study of the factors influencing the viewers'satisfaction and cognitive assimilation with livestreaming commerce broadcast in Hong Kong[J]. Electronic commerce research, 2022, 23(3):1565-1590.
[23] BHATTACHERJEE A. Understanding information systems continuance:an expectation-confirmation model[J]. MIS quarterly,2001, 25:351-370.
[24] HSU C L, LIN J C C. The effects of gratifications, flow and satisfaction on the usage of livestreaming services[J]. Library hi tech, 2023, 41(3):729-748.
[25] SHENG H, JOGINAPELLY T. Effects of web atmospheric cues on users'emotional responses in e-commerce[J]. AIS transactions on human-computer interaction, 2012, 4(1):1-24.
[26] ALGHARABAT R S, ELSAMEN A A. Modelling the impact of 3d product presentation on online behaviour[J]. International journal of electronic marketing and retailing, 2013, 8(4):159-179.
[27] VENKATESH V, DAVIS F D. A theoretical extension of the technology acceptance model:four longitudinal field studies[J].Management science, 2000, 46(2):186-204.
[28] CHIU C M, FANG Y H, CHENG H L, et al. On online repurchase intentions:antecedents and the moderating role of switching cost[J]. Human systems management, 2013, 32:283-296.
[29] HAIR J, HULT G T M, RINGLE C, et al. A primer on partial least squares structural equation modeling(PLS-SEM)[M]. 3rd ed. Thousand Oaks:Sage, 2022.
[30] KOCK N, LYNN G. Lateral collinearity and misleading results in variance-based SEM:an illustration and recommendations[J]. Journal of the association for information systems, 2012, 13(7):546-580.
[31] RAGIN C C. User's guide to fuzzy-set/qualitative comparative analysis[M]. Irvine, CA:University of California, 2017.
[32] AN W, RüLING C C, ZHENG X, et al. Configurations of effectuation, causation, and bricolage:implications for firm growth paths[J]. Small business economics, 2019, 54(3):843-864.
[33] ZHAO X, LYNCH J, CHEN Q. Reconsidering Baron and Kenny:myths and truths about mediation analysis[J]. Journal of consumer research, 2010, 37(2):197-206.
[34] ALGHARABAT R S. The role of telepresence and user engagement in co-creation value and purchase intention:online retail context[J]. Journal of internet commerce, 2018, 17(1):1-25.
[35]刘启华,吴嘉雯,许立扬,等.直播电商中在线评论对消费者退货意愿的影响研究[J].海南大学学报(人文社会科学版), 2023, 41(5):165-175.
基本信息:
DOI:10.15886/j.cnki.hnus.202310.0119
中图分类号:F724.6;F713.55
引用信息:
[1]甘春梅,明昕宇,邱智燕.直播电商环境下消费者重复购买意愿的影响因素研究——基于SEM和fsQCA的分析[J].海南大学学报(人文社会科学版),2025,43(06):128-137.DOI:10.15886/j.cnki.hnus.202310.0119.
基金信息:
国家社会科学基金一般项目(21BTQ064)