IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v8y2024i8p2965-2972.html
   My bibliography  Save this article

Manager’s Performance and Technology Withdrawal: Are They Related? An Empirical Study in the Maritime Industry

Author

Listed:
  • Norzaidi Mohd Daud

    (Faculty of Business and Management Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia)

Abstract

This study aims to determine the relationship between manager performance and technology withdrawal within Malaysia’s maritime industry. The Structural Equation Modelling (SEM) analysis, based on a survey of 357 respondents, indicates that mandatory technology usage impacts manager performance and subsequently predicts technology withdrawal. The results also suggest that mandatory usage serves as a predictor of the intention to withdraw from technology. As anticipated, the intention to withdraw from technology affects manager performance and predicts technology withdrawal. This study is likely the first to examine how new dimensions, such as the intention to withdraw from technology, significantly predict manager performance and technology withdrawal. The findings provide insights into how the Malaysian maritime industry can better address issues related to technology usage and withdrawal.

Suggested Citation

  • Norzaidi Mohd Daud, 2024. "Manager’s Performance and Technology Withdrawal: Are They Related? An Empirical Study in the Maritime Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 2965-2972, August.
  • Handle: RePEc:bcp:journl:v:8:y:2024:i:8:p:2965-2972
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-8/2965-2972.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijriss/articles/managers-performance-and-technology-withdrawal-are-they-related-an-empirical-study-in-the-maritime-industry/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Igbaria, M, 1990. "End-user computing effectiveness: A structural equation model," Omega, Elsevier, vol. 18(6), pages 637-652.
    Full references (including those not matched with items on IDEAS)

    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. Li, L. X., 1997. "Relationships between determinants of hospital quality management and service quality performance--a path analytic model," Omega, Elsevier, vol. 25(5), pages 535-545, October.
    2. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    3. Zheng Li & Xiaodong Lou & Minwei Chen & Siyu Li & Cixian Lv & Shuting Song & Linlin Li, 2023. "Students’ online learning adaptability and their continuous usage intention across different disciplines," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    4. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
    5. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).
    6. Lee, Sang-Yong Tom & Kim, Hee-Woong & Gupta, Sumeet, 2009. "Measuring open source software success," Omega, Elsevier, vol. 37(2), pages 426-438, April.
    7. Minkyung Choy & Gunno Park, 2016. "Sustaining Innovative Success: A Case Study on Consumer-Centric Innovation in the ICT Industry," Sustainability, MDPI, vol. 8(10), pages 1-13, September.
    8. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    9. Hou, Chung-Kuang, 2012. "Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry," International Journal of Information Management, Elsevier, vol. 32(6), pages 560-573.
    10. Adi Alsyouf & Awanis Ku Ishak & Abdalwali Lutfi & Fahad Nasser Alhazmi & Manaf Al-Okaily, 2022. "The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses," IJERPH, MDPI, vol. 19(17), pages 1-30, September.

    More about this item

    Statistics

    Access and download statistics

    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:bcp:journl:v:8:y:2024:i:8:p:2965-2972. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.