IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v8y2006i3d10.1007_s10796-006-8782-0.html
   My bibliography  Save this article

Social influence process in the acceptance of a virtual community service

Author

Listed:
  • Jaeki Song

    (Texas Tech University)

  • Yong Jin Kim

    (State University of New York)

Abstract

This study investigates the effect of subjective norms, tendency to social comparison, and social identity on behavioral intention to use an Avatar service. Use of a virtual community service can be regarded as social behavior or a behavior affected by social factors. This study relies on the link between subjective norms and behavioral intention in the theory of reasoned action, social identity theory, and social comparison literature. The proposed model was tested using survey data with the results lending support for the proposed model. The implications from this study are expected to contribute to the literature by shedding light on the social influence process in two ways. First, this study unveils how social factors including subjective norms, social identity, and tendency to social comparison affect behavioral intention to use a specific service from virtual communities. Second, this study will aid managers and academics to further understand the social nature of customer behavior with regard to using virtual community services and thus provide insight for the development of technology driven e-commerce.

Suggested Citation

  • Jaeki Song & Yong Jin Kim, 2006. "Social influence process in the acceptance of a virtual community service," Information Systems Frontiers, Springer, vol. 8(3), pages 241-252, July.
  • Handle: RePEc:spr:infosf:v:8:y:2006:i:3:d:10.1007_s10796-006-8782-0
    DOI: 10.1007/s10796-006-8782-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-006-8782-0
    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/s10796-006-8782-0?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. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    5. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    6. 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.
    7. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    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. Sangjae Lee & Byung Gon Kim, 2020. "The Impact of Individual Motivations and Social Capital on the Continuous Usage Intention of Mobile Social Apps," Sustainability, MDPI, vol. 12(20), pages 1-30, October.
    2. Hung-Pin Shih & Echo Huang, 2014. "Influences of Web interactivity and social identity and bonds on the quality of online discussion in a virtual community," Information Systems Frontiers, Springer, vol. 16(4), pages 627-641, September.
    3. Zanon, Johanna & Scholl-Grissemann, Ursula & Kallmuenzer, Andreas & Kleinhansl, Nikolas & Peters, Mike, 2019. "How promoting a family firm image affects customer perception in the age of social media," Journal of Family Business Strategy, Elsevier, vol. 10(1), pages 28-37.
    4. Mano, Rita, 2021. "The institutionalization of ICT and civic participation: Evidence from eight European nations," Technology in Society, Elsevier, vol. 64(C).
    5. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    6. Varsha Jain & Saumya Pant, 2015. "Positioning Generation Y for Effective Mobile Communication: The case of three cities in India," Transnational Marketing Journal, Oxbridge Publishing House, UK, vol. 3(1), pages 1-25, May.
    7. Athapol Ruangkanjanases & Shu-Ling Hsu & Yenchun Jim Wu & Shih-Chih Chen & Jo-Yu Chang, 2020. "What Drives Continuance Intention towards Social Media? Social Influence and Identity Perspectives," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    8. Yi-Wen Chen, 2020. "Sustainable Value Co-Creation in the Virtual Community: How Diversified Co-Creation Experience Affects Co-Creation Intention," IJERPH, MDPI, vol. 17(22), pages 1-14, November.
    9. Aaron X. L. Shen & Christy M. K. Cheung & Matthew K. O. Lee & Huaping Chen, 2011. "How social influence affects we-intention to use instant messaging: The moderating effect of usage experience," Information Systems Frontiers, Springer, vol. 13(2), pages 157-169, April.
    10. Iglesias-Pradas, Santiago & Hernández-García, Ángel & Fernández-Cardador, Pedro, 2015. "Social factors' influences on corporate wiki acceptance and use," Journal of Business Research, Elsevier, vol. 68(7), pages 1481-1487.
    11. Song, Jaeki & Kim, Junghwan & Cho, Kwangmin, 2018. "Understanding users’ continuance intentions to use smart-connected sports products," Sport Management Review, Elsevier, vol. 21(5), pages 477-490.
    12. Hee-Woong Kim & Hock Chuan Chan & Atreyi Kankanhalli, 2012. "What Motivates People to Purchase Digital Items on Virtual Community Websites? The Desire for Online Self-Presentation," Information Systems Research, INFORMS, vol. 23(4), pages 1232-1245, December.
    13. Ifinedo, Princely, 2016. "Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites: Perspectives from the Americas," International Journal of Information Management, Elsevier, vol. 36(2), pages 192-206.
    14. Fotiadis, Anestis K. & Stylos, Nikolaos, 2017. "The effects of online social networking on retail consumer dynamics in the attractions industry: The case of ‘E-da’ theme park, Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 283-294.
    15. Alonso-Dos-Santos, Manuel & Rejón Guardia, Francisco & Pérez Campos, Carlos & Calabuig-Moreno, Ferran & Ko, Yong Jae, 2018. "Engagement in sports virtual brand communities," Journal of Business Research, Elsevier, vol. 89(C), pages 273-279.

    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. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    2. Damon E. Campbell & John D. Wells & Joseph S. Valacich, 2013. "Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction," Information Systems Research, INFORMS, vol. 24(2), pages 219-238, June.
    3. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    4. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    5. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    6. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    7. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    8. Irfan Bashir & C. Madhavaiah, 2014. "Determinants of Young Consumers’ Intention to Use Internet Banking Services in India," Vision, , vol. 18(3), pages 153-163, September.
    9. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    10. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    11. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    12. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    13. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.
    14. Amaro, Suzanne & Duarte, Paulo, 2015. "An integrative model of consumers' intentions to purchase travel online," Tourism Management, Elsevier, vol. 46(C), pages 64-79.
    15. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    16. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    17. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    18. Hamed Taherdoost, 2021. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-03741844, HAL.
    19. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    20. Paul Juinn Bing Tan, 2019. "An Empirical Study of How the Learning Attitudes of College Students toward English E-Tutoring Websites Affect Site Sustainability," Sustainability, MDPI, vol. 11(6), pages 1-19, March.

    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:8:y:2006:i:3:d:10.1007_s10796-006-8782-0. 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.