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The impact of initial learning experience on digital services usage diffusion: A field study of e-services in Lebanon

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  • Fakhoury, Rania
  • Aubert, Benoit

Abstract

The initial learning experience is crucial for understanding digital services adoption and usage diffusion. Using a UTAUTv2 model, we explore the effect of process- and content-oriented knowledge on behavioral intentions to use e-government services. The adoption of e-government systems is lower than desired in general and faces considerable resistance in many developing countries. Scholars suggest that more knowledge and better training are critical to increasing adoption and usage rates. We conducted a survey of 262 citizens in Lebanon to investigate how consumers cope with high and moderate levels of complexity during their initial learning experience with a technology-based product. The results show that a moderate degree of content- and process-oriented knowledge about e-government services during an initial learning experience improves usage habits, performance expectancy, effort expectancy, and facilitating conditions. The challenge for service providers is to understand consumers’ learning experience and coping strategies and to provide mechanisms that make the transition to e-services easier and more intuitive. This can be achieved by developing new infrastructure for e-services to facilitate easier access to e-government websites and to improve site performance. Marketers can also develop more effective communications that offer easy and flexible specific steps for using the portal.

Suggested Citation

  • Fakhoury, Rania & Aubert, Benoit, 2017. "The impact of initial learning experience on digital services usage diffusion: A field study of e-services in Lebanon," International Journal of Information Management, Elsevier, vol. 37(4), pages 284-296.
  • Handle: RePEc:eee:ininma:v:37:y:2017:i:4:p:284-296
    DOI: 10.1016/j.ijinfomgt.2017.03.004
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    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Darron Billeter & Ajay Kalra & George Loewenstein, 2011. "Underpredicting Learning after Initial Experience with a Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 723-736.
    3. Kyle B. Murray & Gerald Hubl, 2007. "Explaining Cognitive Lock-In: The Role of Skill-Based Habits of Use in Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(1), pages 77-88, March.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Crosby, Lawrence A & Taylor, James R, 1981. "Effects of Consumer Information and Education on Cognition and Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(1), pages 43-56, June.
    6. Alaa-Aldin Abdul Rahim A. Al Athmay, 2013. "E-Governance In Arab Countries: Status And Challenges," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 7(5), pages 79-98.
    7. Beynon-Davies, Paul, 2005. "Constructing electronic government: the case of the UK inland revenue," International Journal of Information Management, Elsevier, vol. 25(1), pages 3-20.
    8. Bloom, Paul N & Ford, Gary T, 1979. "Evaluation of Consumer Education Programs," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(3), pages 270-279, December.
    9. 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.
    10. Amel Attour, 2013. "Adoption et modèles de diffusion régionale de l’innovation dans les gouvernements locaux: le cas du développement de l’e-Gouvernement en Lorraine," GREDEG Working Papers 2013-12, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. Weerakkody, Vishanth & El-Haddadeh, Ramzi & Al-Sobhi, Faris & Shareef, Mahmud Akhter & Dwivedi, Yogesh K., 2013. "Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation," International Journal of Information Management, Elsevier, vol. 33(5), pages 716-725.
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