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The Impact of Information Systems on user Performance: An Exploratory Study

Author

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  • Bejjar Mohamed Ali

    (Department of Management)

  • Boujelbene Younes

    (Department of Economic)

Abstract

Information systems play an important supportive role in most sectors of the economy. This study was developed to answer the question related to the impact of information systems on user performance in Tunisian companies. This article proposes a model combining the Task Technology Fit (TTF), the Technology Acceptance Model (TAM) and Delone & McLean model to evaluate the performance of users in the Tunisian organizations. The model was tested using survey data collected from 314 users of the information system. The results of structural equation analyzes supported the proposed model and highlighted the important role of perceived ease of use and perceived usefulness in mediating effects between TTF, system quality and information quality and performance users. The results show that TTF, system quality and information quality directly influences the performance of users and indirectly through perceived usefulness and perceived ease of use.

Suggested Citation

  • Bejjar Mohamed Ali & Boujelbene Younes, 2013. "The Impact of Information Systems on user Performance: An Exploratory Study," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(2), pages 1-10, April.
    • Handle: RePEc:spp:jkmeit:1369
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    References listed on IDEAS

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    1. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
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    3. Zhang, Zhe & Lee, Matthew K.O. & Huang, Pei & Zhang, Liang & Huang, Xiaoyuan, 2005. "A framework of ERP systems implementation success in China: An empirical study," International Journal of Production Economics, Elsevier, vol. 98(1), pages 56-80, October.
    4. 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.
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    Cited by:

    1. Yogi Tri Prasetyo & Ardvin Kester S. Ong & Giero Krissianne Frances Concepcion & Francheska Mikaela B. Navata & Raphael Andrei V. Robles & Isaiash Jeremy T. Tomagos & Michael Nayat Young & John Franci, 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    2. Muhammad Haseeb & Hafezali Iqbal Hussain & Beata Ślusarczyk & Kittisak Jermsittiparsert, 2019. "Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance," Social Sciences, MDPI, vol. 8(5), pages 1-24, May.
    3. Yafen Tseng & Beyfen Lee & Chingi Chen & Wang He, 2022. "Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    4. Mahmoud Hany M. Dalloul & Zuraeda binti Ibrahim & Sharina Tajul Urus, 2023. "Financial Crises Management in Light of Accounting Information Systems Success: Investigating Direct and Indirect Influences," Sustainability, MDPI, vol. 15(10), pages 1-31, May.
    5. Musyoka Kelvin Mutiso & Morrisson Kaunda Mutuku, 2022. "Information systems implementation and user performance in the county government of Machakos, Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(2), pages 477-486, March.

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