IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i5d10.1007_s10796-022-10337-7.html
   My bibliography  Save this article

Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach

Author

Listed:
  • Lai-Ying Leong

    (Universiti Tunku Abdul Rahman)

  • Teck-Soon Hew

    (University of Malaya)

  • Keng-Boon Ooi

    (UCSI University
    Chang Jung Christian University)

  • Bhimaraya Metri

    (Indian Institute of Management Nagpur)

  • Yogesh K. Dwivedi

    (Swansea University
    Pune & Symbiosis International (Deemed University))

Abstract

The theory of planned behavior (TPB) is popular in social commerce research, but existing studies have yielded inconclusive and inconsistent findings. As TPB was developed before the introduction of the Internet, Web 2.0 technologies, and social media, it is time to evaluate whether its relevance, effectiveness, novelty, and parsimony may have deteriorated due to temporal factors and the emergence of new Information Systems (IS) artifacts. In this work, an extended TPB2 is proposed by integrating social support, and MASEM analysis was conducted using a pooled correlation matrix. The findings revealed that TPB2 can better capture the nature of social commerce, as it can explain 28.4% of the variance in attitude, 59.0% of the variance in behavioral intention, and 9% of the variance in use behavior. In addition, it indicates that masculinity and uncertainty avoidance are the most significant Hofstedian cultural dimensions. The theoretical and managerial implications are also discussed along with the research agenda.

Suggested Citation

  • Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
  • Handle: RePEc:spr:infosf:v:25:y:2023:i:5:d:10.1007_s10796-022-10337-7
    DOI: 10.1007/s10796-022-10337-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10337-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-022-10337-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yeon, Jewoo & Park, Inyoung & Lee, Daeho, 2019. "What creates trust and who gets loyalty in social commerce?," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 138-144.
    2. Patrick Mikalef & Kshitij Sharma & Ilias O. Pappas & Michail Giannakos, 2021. "Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study," Information Systems Frontiers, Springer, vol. 23(5), pages 1273-1286, September.
    3. Sharma, Shavneet & Singh, Gurmeet & Sharma, Rashmini, 2021. "For it is in giving that we receive: Investigating gamers’ gifting behaviour in online games," International Journal of Information Management, Elsevier, vol. 60(C).
    4. Jeyaraj, Anand & Dwivedi, Yogesh K., 2020. "Meta-analysis in information systems research: Review and recommendations," International Journal of Information Management, Elsevier, vol. 55(C).
    5. Jeyaraj, Anand, 2022. "Models of information systems habit: An exploratory meta-analysis," International Journal of Information Management, Elsevier, vol. 62(C).
    6. Raed S. Algharabat & Nripendra P. Rana, 2021. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 23(6), pages 1499-1520, December.
    7. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    10. Tamilmani, Kuttimani & Rana, Nripendra P. & Wamba, Samuel Fosso & Dwivedi, Rohita, 2021. "The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation," International Journal of Information Management, Elsevier, vol. 57(C).
    11. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams, 2015. "A meta-analysis of existing research on citizen adoption of e-government," Information Systems Frontiers, Springer, vol. 17(3), pages 547-563, June.
    12. Hong Chen & Ling Li & Yong Chen, 2021. "Explore success factors that impact artificial intelligence adoption on telecom industry in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 36-68, January.
    13. Tewari, Alok & Mathur, Smriti & Srivastava, Smriti & Gangwar, Divya, 2022. "Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    14. Bu, Fei & Wang, Nengmin & Jiang, Bin & Jiang, Qi, 2021. "Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model," International Journal of Information Management, Elsevier, vol. 60(C).
    15. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Wei, June, 2020. "Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach," International Journal of Information Management, Elsevier, vol. 51(C).
    16. Hamari, Juho & Keronen, Lauri, 2017. "Why do people play games? A meta-analysis," International Journal of Information Management, Elsevier, vol. 37(3), pages 125-141.
    17. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    18. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
    19. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 2020. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 22(5), pages 1203-1226, October.
    20. Charles Bond & Ken Richardson, 2004. "Seeing the FisherZ-transformation," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 291-303, June.
    21. Ivanete Schneider Hahn & Flavia Luciane Scherer & Kenny Basso & Marindia Brachak dos Santos, 2016. "Consumer Trust in and Emotional Response to Advertisements on Social Media and their Influence on Brand Evaluation," Brazilian Business Review, Fucape Business School, vol. 13(4), pages 49-71, July.
    22. Liobikienė, Genovaitė & Mandravickaitė, Justina & Bernatonienė, Jurga, 2016. "Theory of planned behavior approach to understand the green purchasing behavior in the EU: A cross-cultural study," Ecological Economics, Elsevier, vol. 125(C), pages 38-46.
    23. Abhipsa Pal & Tejaswini Herath & Rahul De’ & H. Raghav Rao, 2021. "Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage," Information Systems Frontiers, Springer, vol. 23(4), pages 941-961, August.
    24. Zhao, Yang & Ni, Qi & Zhou, Ruoxin, 2018. "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age," International Journal of Information Management, Elsevier, vol. 43(C), pages 342-350.
    25. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
    26. Mathieu Templier & Guy Paré, 2018. "Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(5), pages 503-550, September.
    27. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    28. Meilatinova, Nina, 2021. "Social commerce: Factors affecting customer repurchase and word-of-mouth intentions," International Journal of Information Management, Elsevier, vol. 57(C).
    29. Mehdi Dashti & Ali Sanayei & Hossein Rezai Dolatabadi & Mohammad Hossein Moshref Javadi, 2019. "Application of the stimuli-organism-response framework to factors influencing social commerce intentions among social network users," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 30(2), pages 177-202.
    30. Hagger, Martin S. & Polet, Juho & Lintunen, Taru, 2018. "The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling," Social Science & Medicine, Elsevier, vol. 213(C), pages 85-94.
    31. Nick Hajli & Xiaolin Lin, 2016. "Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information," Journal of Business Ethics, Springer, vol. 133(1), pages 111-123, January.
    32. Donald D. Bergh & Herman Aguinis & Ciaran Heavey & David J. Ketchen & Brian K. Boyd & Peiran Su & Cubie L. L. Lau & Harry Joo, 2016. "Using meta-analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership-performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 37(3), pages 477-497, March.
    33. Sheila M. Smith & Jensen Zhao & Melody Alexander, 2013. "Social Commerce from a Theory of Planned Behavior Paradigm: An Analysis of Purchase Intention," International Journal of E-Adoption (IJEA), IGI Global, vol. 5(3), pages 76-88, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tam To Nguyen & Huong Thi Thu Truong & Tuan Le-Anh, 2023. "Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model," SAGE Open, , vol. 13(4), pages 21582440231, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    2. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    3. Verma, Deepak & Prakash Dewani, Prem & Behl, Abhishek & Pereira, Vijay & Dwivedi, Yogesh & Del Giudice, Manilo, 2023. "A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type," Journal of Business Research, Elsevier, vol. 154(C).
    4. Ransome Epie Bawack & Emilie Bonhoure, 2023. "Influencer is the New Recommender: insights for Theorising Social Recommender Systems," Information Systems Frontiers, Springer, vol. 25(1), pages 183-197, February.
    5. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    6. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    7. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 0. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    8. Vazirani, Ashish & Sarkar, Subhro & Bhattacharjee, Titas & Dwivedi, Yogesh K & Jack, Sarah, 2023. "Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures," Journal of Business Research, Elsevier, vol. 155(PB).
    9. Afsay, Akram & Tahriri, Arash & Rezaee, Zabihollah, 2023. "A meta-analysis of factors affecting acceptance of information technology in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    10. Giacomo Migliore & Ralf Wagner & Felipe Schneider Cechella & Francisco Liébana-Cabanillas, 2022. "Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory," Information Systems Frontiers, Springer, vol. 24(6), pages 2099-2122, December.
    11. Luiz Philipi Calegari & Guilherme Luz Tortorella & Diego Castro Fettermann, 2023. "Getting Connected to M-Health Technologies through a Meta-Analysis," IJERPH, MDPI, vol. 20(5), pages 1-33, February.
    12. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    13. Zamrudi Zakky & Wicaksono Teguh, 2018. "Promoting the Use of Social Commerce on SME in the Context of Logistics: UTAUT Model Examination," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 9(2), pages 73-82, November.
    14. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    15. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    16. Yang Zhao & Yixuan Li & Ning Wang & Ruoxin Zhou & Xin (Robert) Luo, 2022. "A Meta-Analysis of Online Impulsive Buying and the Moderating Effect of Economic Development Level," Information Systems Frontiers, Springer, vol. 24(5), pages 1667-1688, October.
    17. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    18. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    19. Xinlu Wen & Marios Sotiriadis & Shiwei Shen, 2023. "Determining the Key Drivers for the Acceptance and Usage of AR and VR in Cultural Heritage Monuments," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
    20. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:5:d:10.1007_s10796-022-10337-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.