International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

line decor
  
line decor

 Volume 10, Issue 10 (October 2023), Pages: 132-138

----------------------------------------------

 Original Research Paper

The role of computer self-efficacy in the workplace

 Author(s): 

 Vedat Morina, Afërdita Berisha-Shaqiri *

 Affiliation(s):

 Faculty of Economics, University of Prishtina “Hasan Prishtina,” Prishtina, Kosovo

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-0316-839X

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2023.10.015

 Abstract

Computer self-efficacy is a pivotal factor in the modern workplace, intertwined with the capacity of the workforce to function effectively and achieve organizational objectives. This study aims to introduce and apply an established computer self-efficacy scale in a novel cultural milieu, seeking to discern the levels of computer self-efficacy among employees while exploring its associations with various control variables, with a specific emphasis on gender. Data collection was accomplished through the distribution of a 12-item scale administered online, which garnered responses from 320 participants. Contrary to prior investigations, the present study revealed no significant disparities in computer self-efficacy between male and female employees. Furthermore, no substantial variations were detected among other control variables, including age, job position, salary, and educational background. This research distinguishes itself through the translation and adaptation of the questionnaire to the Albanian language within a workplace context, setting it apart from previous studies that predominantly focused on student or trainee samples. However, it is worth noting that this research is constrained by its exclusive consideration of computer self-efficacy as a continuous variable, without addressing antecedent and consequent variables.

 © 2023 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Computer self-efficacy, Technology, Information systems, Kosovo

 Article history

 Received 6 June 2023, Received in revised form 26 September 2023, Accepted 27 September 2023

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Morina V and Berisha-Shaqiri A (2023). The role of computer self-efficacy in the workplace. International Journal of Advanced and Applied Sciences, 10(10): 132-138

 Permanent Link to this page

 Figures

 No Figure

 Tables

 Table 1 Table 2 Table 3 

----------------------------------------------   

 References (32)

  1. Agarwal R, Sambamurthy V, and Stair RM (2000). Research report: The evolving relationship between general and specific computer self-efficacy-An empirical assessment. Information Systems Research, 14(1): 418-430. https://doi.org/10.1287/isre.11.4.418.11876   [Google Scholar]
  2. Bandura A (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology4(3): 359-373. https://doi.org/10.1521/jscp.1986.4.3.359   [Google Scholar]
  3. Beaton DE, Bombardier C, Guillemin F, and Ferraz MB (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine25(24): 3186-3191. https://doi.org/10.1097/00007632-200012150-00014   [Google Scholar] PMid:11124735
  4. Berisha-Shaqiri A (2005). Impact of information technology and internet in businesses. Academic Journal of Business, Administration, Law and Social Sciences1(1): 73-79.   [Google Scholar]
  5. Cassidy S and Eachus P (2002). Developing the computer user self-efficacy (Cuse) scale: Investigating the relationship between computer self-efficacy, gender and experience with computers. Journal of Educational Computing Research26(2): 133-15. https://doi.org/10.2190/JGJR-0KVL-HRF7-GCNV   [Google Scholar]
  6. Chen IS (2017). Computer self-efficacy, learning performance, and the mediating role of learning engagement. Computers in Human Behavior72: 362-370. https://doi.org/10.1016/j.chb.2017.02.059   [Google Scholar]
  7. Claggett JL and Goodhue DL (2011). Have IS researchers lost Bandura's self-efficacy concept? A discussion of the definition and measurement of computer self-efficacy. In the 2011 44th Hawaii International Conference on System Sciences, IEEE, Kauai, USA: 1-10. https://doi.org/10.1109/HICSS.2011.219   [Google Scholar]
  8. Compeau DR and Higgins CA (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly19(2): 189-211. https://doi.org/10.2307/249688   [Google Scholar]
  9. Downey JP and Kher HV (2015). A longitudinal examination of the effects of computer self-efficacy growth on performance during technology training. Journal of Information Technology Education Research, 14(1): 91-111. https://doi.org/10.28945/2114   [Google Scholar]
  10. Durndell A, Haag Z, and Laithwaite, H (2000). Computer self-efficacy and gender: A cross cultural study of Scotland and Romania. Personality and Individual Differences, 28(6): 1037-1044. https://doi.org/10.1016/S0191-8869(99)00155-5   [Google Scholar]
  11. Fernald JG and Ramnath S (2004). The acceleration in U.S. total factor productivity after 1995: The role of information technology. Economic Perspectives- Federal Reserve Bank of Chicago, 1(28): 52-64.   [Google Scholar]
  12. Gist ME (1987). Self-efficacy: Implications for organizational behavior and human resource management. Academy of Management Review, 12(3): 472-485. https://doi.org/10.5465/amr.1987.4306562   [Google Scholar]
  13. Gupta S and Bostrom RP (2019). A revision of computer self-efficacy conceptualizations in information systems. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 50(2): 71-93. https://doi.org/10.1145/3330472.3330478   [Google Scholar]
  14. Hauser R, Paul R, and Bradley J (2012). Computer self-efficacy, anxiety, and learning in online versus face-to-face medium. Journal of Information Technology Education: Research, 11(1): 141-154. https://doi.org/10.28945/1633   [Google Scholar]
  15. He J and Freeman LA (2010). Are men more technology-oriented than women? The role of gender on the development of general computer self-efficacy of college students. Journal of Information Systems Education, 21(2): 203-214.   [Google Scholar]
  16. Howard MC (2014). Creation of a computer self-efficacy measure: Analysis of internal consistency, psychometric properties, and validity. Cyberpsychology, Behavior, and Social Networking, 17(10): 677-681. https://doi.org/10.1089/cyber.2014.0255   [Google Scholar] PMid:25127146
  17. Johnson RD and Marakas G (2000). The role of behavioral modeling in computer skills acquisition: Toward refinement of the model. Information Systems Research, 11(4): 402-417. https://doi.org/10.1287/isre.11.4.402.11869   [Google Scholar]
  18. Karsten R and Schmidt D (2008). Business student computer self-efficacy: Ten years later. Journal of Information Systems Education19(4): 445-454.   [Google Scholar]
  19. Karsten R, Mitra A, and Schmidt D (2012). Computer self-efficacy: A meta-analysis. Journal of Organizational and End User Computing, 24(4): 54-80. https://doi.org/10.4018/joeuc.2012100104   [Google Scholar]
  20. Loar EA (2018). Computer self-efficacy revisited. Journal of Instructional Research18: 55-59. https://doi.org/10.9743/JIR.2018.4   [Google Scholar]
  21. Marakas G, Johnson RD, and Clay PF (2007). The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8(1): 16-46. https://doi.org/10.17705/1jais.00112   [Google Scholar]
  22. Marakas GM, Yi MY, and Johnson RD (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research9(2): 126-163. https://doi.org/10.1287/isre.9.2.126   [Google Scholar]
  23. Murphy CA, Coover D, and Owen SV (1989). Development and validation of the computer self-efficacy scale. Educational and Psychological Measurements, 49(4): 893-899. https://doi.org/10.1177/001316448904900412   [Google Scholar]
  24. Neziraj E, Berisha-Shaqiri A, Shiroka Pula J, Kume V, and Krasniqi B (2018). The relation between information technology and innovation process in software and not software industries in Kosovo. Informatologia, 51(3-4): 149-158. https://doi.org/10.32914/i.51.3-4.4   [Google Scholar]
  25. Rasool T, Warraich NF, and Sajid M (2022). Examining the impact of technology overload at the workplace: A systematic review. SAGE Open, 12(3). https://doi.org/10.1177/21582440221114320   [Google Scholar]
  26. Saleem H, Beaudry A, and Croteau AM (2011). Antecedents of computer self-efficacy: A study of the role of personality traits and gender. Computers in Human Behavior, 27(5): 1922-1936. https://doi.org/10.1016/j.chb.2011.04.017   [Google Scholar]
  27. Teo T (2015). Do digital natives differ by computer self-efficacy and experience? An empirical study. Interactive Learning Environment, 24(7): 1725-1739. https://doi.org/10.1080/10494820.2015.1041408   [Google Scholar]
  28. Thatcher JB and Perrewé PL (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4): 381-396. https://doi.org/10.2307/4132314   [Google Scholar]
  29. Torkzadeh G and Koufteros X (1994). Factorial validity of a computer self-efficacy scale and the impact of computer training. Educational and Psychological Measurement50(3): 813-821. https://doi.org/10.1177/0013164494054003028   [Google Scholar]
  30. Torkzadeh R, Pflughoeft K, and Hall L (1999). Computer self-efficacy, training effectiveness and user attitudes: An empirical study. Behaviour and Information Technology,18(4): 299-309. https://doi.org/10.1080/014492999119039   [Google Scholar]
  31. Vekiri I and Chronakib A (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers and Education51(3): 1392-1404. https://doi.org/10.1016/j.compedu.2008.01.003   [Google Scholar]
  32. WBG (2023). Every village in Kosovo now connected to high-speed broadband internet, with world bank support. World Bank Group, Washington, D.C., USA.   [Google Scholar]