IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v8y2014i3p465-478.html
   My bibliography  Save this article

How socially derived characteristics of technology shape the adoption of corporate Web 2.0 tools for collaboration

Author

Listed:
  • Santiago Iglesias-Pradas
  • Ángel Hernández-García
  • Pedro Fernández-Cardador

Abstract

Socially derived characteristics (perceptions of individuals about technology-related characteristics) of Web 2.0 tools are not generally taken into account when decisions are made about which systems to use for collaboration in corporate settings. This exploratory research studies the influence of these characteristics—perceived compatibility, social presence, and group supportability—in the adoption of corporate blogs and validates a theory-grounded model with data from 73 employees. The results show that social presence and users’ values influence perceived usefulness of corporate blogs and play an important role in their adoption, while existing work practices, prior experience and group supportability do not. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Santiago Iglesias-Pradas & Ángel Hernández-García & Pedro Fernández-Cardador, 2014. "How socially derived characteristics of technology shape the adoption of corporate Web 2.0 tools for collaboration," Service Business, Springer;Pan-Pacific Business Association, vol. 8(3), pages 465-478, September.
  • Handle: RePEc:spr:svcbiz:v:8:y:2014:i:3:p:465-478
    DOI: 10.1007/s11628-014-0250-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11628-014-0250-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11628-014-0250-1?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. 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.
    2. 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.
    3. Ned Kock, 2004. "The Psychobiological Model: Towards a New Theory of Computer-Mediated Communication Based on Darwinian Evolution," Organization Science, INFORMS, vol. 15(3), pages 327-348, June.
    4. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    5. Sang Lee & Taewan Kim & Yonghwi Noh & Byungku Lee, 2010. "Success factors of platform leadership in web 2.0 service business," Service Business, Springer;Pan-Pacific Business Association, vol. 4(2), pages 89-103, June.
    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. Hernández-García, Ángel & Iglesias-Pradas, Santiago & Fernández-Cardador, Pedro, 2016. "Causal recipes for acceptance and refusal of corporate blogs," Journal of Business Research, Elsevier, vol. 69(4), pages 1492-1497.

    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. Shirazi, Farid & Hajli, Nick & Sims, Julian & Lemke, Fred, 2022. "The role of social factors in purchase journey in the social commerce era," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. 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.
    3. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    4. Wasfi Al-Rawabdah & Adel A. Salloum & Serene Zakaria Tarawneh, 2021. "The Moderating Role Of Factors That Influence User Adoption Of Mobile Health Applications: Evidence From Jordan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 15(1), pages 1-18.
    5. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    6. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    7. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    8. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    9. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    10. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    11. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    12. 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.
    13. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    14. 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.
    15. Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    16. Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    17. Funmilola Omotayo & Oluwatobi Dahunsi, 2015. "Factors Affecting Adoption of Point of Sale Terminals by Business Organisations in Nigeria," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(10), pages 115-137, October.
    18. Xin Liao & Dongming Wu & Qianqian Zhang & Ge Han, 2021. "How to Improve Users’ Loyalty to Smart Health Devices? The Perspective of Compatibility," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    19. Dong, Xueyan & Wang, Tienan, 2018. "Social tie formation in Chinese online social commerce: The role of IT affordances," International Journal of Information Management, Elsevier, vol. 42(C), pages 49-64.
    20. 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.

    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:svcbiz:v:8:y:2014:i:3:p:465-478. 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.