IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v64y2021ics0160791x20313233.html
   My bibliography  Save this article

Decomposition of perceived usefulness: A theoretical perspective and empirical test

Author

Listed:
  • Ambalov, Igor Alexander

Abstract

Information technology (IT) research largely treats perceived usefulness as a simple concept reflecting system effectiveness in improving task productivity. In the context of continuing use of modern IS – complex systems capable of supporting various uses – this approach is overly simplistic. This simplicity negatively affects content validity of the key determinants of IT use, thereby biasing research findings and conclusions. This study applies affordance theory integrated with uses and gratifications to conceptualize the factor of usefulness as a multidimensional construct accounting for the complexity of modern IT. This perspective is empirically tested using a cross-sectional survey sample of 218 university-student Facebook users. The results of the analysis affirm that the proposed conceptualization of perceived usefulness is valid. The study contributes by depicting the mechanism by which usefulness beliefs shape users’ decisions, and by demonstrating that using a multidimensional approach to measure conceptually complex constructs can lead to more accurate prediction and explanation of IT usage.

Suggested Citation

  • Ambalov, Igor Alexander, 2021. "Decomposition of perceived usefulness: A theoretical perspective and empirical test," Technology in Society, Elsevier, vol. 64(C).
  • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20313233
    DOI: 10.1016/j.techsoc.2020.101520
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X20313233
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2020.101520?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. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, 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. Yang, Hongjun & Zhang, Shengtai, 2022. "Social media affordances and fatigue: The role of privacy concerns, impression management concerns, and self-esteem," Technology in Society, Elsevier, vol. 71(C).
    2. Maduku, Daniel K. & Thusi, Philile, 2023. "Understanding consumers' mobile shopping continuance intention: New perspectives from South Africa," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. Nathalie Peña-García & David van der Woude & Augusto Rodríguez-Orejuela, 2022. "Recommend or Not: Is Generation the Key? A Perspective from the SOR Paradigm for Online Stores in Colombia," Sustainability, MDPI, vol. 14(23), pages 1-16, 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. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    2. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    3. 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.
    4. Nawal Abdalla Adam, 2016. "An Empirical Investigation of the Impact of Technological Factors on Computer ¨C Based Information Systems (CBIS) Usage by Managers in Banking Sector in Sudan," Journal of Social Science Studies, Macrothink Institute, vol. 3(1), pages 12-22, January.
    5. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    6. Tsourela Maria & Roumeliotis Manos, 2017. "Technology-Based Services Adoption: A Comparison of the Major Applications," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 1-24, June.
    7. Jewan Singh & Vibhakar Mansotra, 2019. "Towards Development of an Integrated Cloud-Computing Adoption Framework — A Case of Indian School Education System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-27, April.
    8. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    9. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    10. Song, Jinzhu & Drennan, Judy C. & Andrews, Lynda M., 2012. "Exploring regional differences in Chinese consumer acceptance of new mobile technology: A qualitative study," Australasian marketing journal, Elsevier, vol. 20(1), pages 80-88.
    11. 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.
    12. Shikha Sharma & Sanjeev Kumar Sharma, 2016. "Team Resilience: Scale Development and Validation," Vision, , vol. 20(1), pages 37-53, March.
    13. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," Working Papers hal-01296338, HAL.
    14. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    15. Ann-Frances Cameron & Jane Webster, 2013. "Multicommunicating: Juggling Multiple Conversations in the Workplace," Information Systems Research, INFORMS, vol. 24(2), pages 352-371, June.
    16. Hasnan Baber & N M Baki Billah, 2022. "Fintech and Islamic Banks - an integrative model approach to predict the intentions," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 24(2), pages 24-45, December.
    17. Saghafi, Fatemeh & Noorzad Moghaddam, Ehsan & Aslani, Alireza, 2017. "Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 275-288.
    18. T. G. Saji & Deepa Paul, 2018. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model," Metamorphosis: A Journal of Management Research, , vol. 17(2), pages 111-119, December.
    19. Anastasiou Kartas & Sigi Goode, 2012. "Use, perceived deterrence and the role of software piracy in video game console adoption," Information Systems Frontiers, Springer, vol. 14(2), pages 261-277, April.
    20. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.

    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:eee:teinso:v:64:y:2021:i:c:s0160791x20313233. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.