IDEAS home Printed from https://ideas.repec.org/a/eee/aumajo/v20y2012i2p147-157.html
   My bibliography  Save this article

Intranet portals: Marketing and managing individuals’ acceptance and use

Author

Listed:
  • Neill, William D.
  • Richard, James E.

Abstract

With increasing pressure on businesses to digitalize and integrate their internal communications, intranet portals are becoming popular as knowledge banks that distribute tailored information throughout organizations. However, user acceptance of intranet portals is often an issue that could lead to failure of core business functions. This study provides increased understanding of the uptake of intranet portals by developing and testing an intranet portal usage (IPU) model containing antecedents to user acceptance of a recently introduced intranet portal. SEM was used to test the relationships between prior experience, Internet self-efficacy, perceived usefulness, perceived ease of use, intention to use and usage. Results from a survey of university students indicate that internal marketing communications focused on portal experience and functionality provides the greatest value to the acceptance and use of intranet portals within organizations, while Internet self-efficacy leveraged through portal experience provides a complex relationship to perceived usefulness. Ongoing collaboration between marketing and IT departments benefits the perceived usefulness of portals as users gain familiarity

Suggested Citation

  • Neill, William D. & Richard, James E., 2012. "Intranet portals: Marketing and managing individuals’ acceptance and use," Australasian marketing journal, Elsevier, vol. 20(2), pages 147-157.
    • Handle: RePEc:eee:aumajo:v:20:y:2012:i:2:p:147-157
    DOI: 10.1016/j.ausmj.2011.10.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1441358211000826
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ausmj.2011.10.003?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. Menzie D. Chinn & Robert W. Fairlie, 2007. "The determinants of the global digital divide: a cross-country analysis of computer and internet penetration," Oxford Economic Papers, Oxford University Press, vol. 59(1), pages 16-44, January.
    2. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    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. Levin, Irwin P & Gaeth, Gary J, 1988. "How Consumers Are Affected by the Framing of Attribute Information before and after Consuming the Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 374-378, December.
    5. Erin Anderson & Barton Weitz, 1989. "Determinants of Continuity in Conventional Industrial Channel Dyads," Marketing Science, INFORMS, vol. 8(4), pages 310-323.
    6. 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.
    7. Roland T. Rust & J. Jeffrey Inman & Jianmin Jia & Anthony Zahorik, 1999. "What You Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions," Marketing Science, INFORMS, vol. 18(1), pages 77-92.
    8. Peppard, Joe, 2000. "Customer Relationship Management (CRM) in financial services," European Management Journal, Elsevier, vol. 18(3), pages 312-327, June.
    9. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    10. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    11. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    12. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    13. 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.
    14. Bettman, James R & Park, C Whan, 1980. "Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 234-248, December.
    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. Daniel-Florin DĂNILOAIA & Simina-Nicoleta BOHÂLȚEANU, 2019. "Influence Of Technology On Empowerment Process At Work," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 21, pages 175-181, 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. 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.
    2. Kerstin Pezoldt & Jana Schliewe, 2012. "Akzeptanz von Self-Service-Technologien: State of the Art," Schmalenbach Journal of Business Research, Springer, vol. 64(2), pages 205-253, March.
    3. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    4. Nan Zhang & Xunhua Guo & Guoqing Chen, 2011. "Why adoption and use behavior of IT/IS cannot last?—two studies in China," Information Systems Frontiers, Springer, vol. 13(3), pages 381-395, July.
    5. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    6. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    7. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    8. Ozturk, Ahmet Bulent & Bilgihan, Anil & Nusair, Khaldoon & Okumus, Fevzi, 2016. "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience," International Journal of Information Management, Elsevier, vol. 36(6), pages 1350-1359.
    9. 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.
    10. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    11. Yoon, Jeewhan & Vonortas, Nicholas S. & Han, SungWon, 2020. "Do-It-Yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    12. 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.
    13. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    14. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    15. Maier, Erik, 2016. "Supply and demand on crowdlending platforms: connecting small and medium-sized enterprise borrowers and consumer investors," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 143-153.
    16. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    17. 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.
    18. 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.
    19. Yajiong Xue & Huigang Liang & Liansheng Wu, 2011. "Punishment, Justice, and Compliance in Mandatory IT Settings," Information Systems Research, INFORMS, vol. 22(2), pages 400-414, June.
    20. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(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:eee:aumajo:v:20:y:2012:i:2:p:147-157. 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/australasian-marketing-journal/ .

    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.