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Measuring emotional reactions of university students towards a Student Information System (SIS): A Turkish university case

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  • Demirkol, Denizhan
  • Seneler, Cagla
  • Daim, Tugrul
  • Shaygan, Amir

Abstract

Studies on user emotion as a vital part of the user experience have been increasing over the last decade. These studies indicate that it is important to take the user emotions into account when developing usable interfaces. Previous studies demonstrated that user's positive emotion towards a system could lead to good user experience and the system success. Although, users' emotions on Information Systems (IS) have been studied in the literature widely, this is not the case for Student Information Systems (SIS). For these reasons, 324 undergraduate students' emotions on a Turkish University's SIS were collected through Turkish version of Emotion Words Prompt List (EWPL-TR) to investigate whether students' emotions can differ based on their demographic information, their dis/liked features on a SIS or their recommendations for increasing usability of a SIS. Analysing users' emotional variations amongst different user characteristics is valuable because focusing on these variations has the potential to raise the quality of the user experience and learning experience with an IS. The results of this study will be important for developers who want to support their users by increasing the quality of their users' experience with a system, particularly in a learning environment.

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  • Demirkol, Denizhan & Seneler, Cagla & Daim, Tugrul & Shaygan, Amir, 2020. "Measuring emotional reactions of university students towards a Student Information System (SIS): A Turkish university case," Technology in Society, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20306473
    DOI: 10.1016/j.techsoc.2020.101412
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    References listed on IDEAS

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    1. 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.
    2. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    3. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    4. Basoglu, Nuri & Ok, Ali Emre & Daim, Tugrul U., 2017. "What will it take to adopt smart glasses: A consumer choice based review?," Technology in Society, Elsevier, vol. 50(C), pages 50-56.
    5. Spatar, Daria & Kok, Orhun & Basoglu, Nuri & Daim, Tugrul, 2019. "Adoption factors of electronic health record systems," Technology in Society, Elsevier, vol. 58(C).
    6. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    7. Ahmed, Hersi & Daim, Tugrul & Basoglu, Nuri, 2007. "Information technology diffusion in higher education," Technology in Society, Elsevier, vol. 29(4), pages 469-482.
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