HOW GENDER AFFECT RELATIONSHIPS BETWEEN VARIABLES IN INFORMATION SYSTEMS USAGE AND USER SATISFACTION MODEL
DOI:
10.54443/sibatik.v5i3.4566Published:
2026-02-28Downloads
Abstract
This paper aims to explore the role of gender as moderating variables for the relationships between variables in the modified information system success model. This research is needed to uncover whether the gender gap exists in information system implementation. The result of the study This digitization in organization which focus on its impact for defining the usage of information system and user satisfaction. A quantitative study using PLS-SEM had been employed to reveal whether gender has influence on the relationships between variables. A data collection was conducted using questionnaire which was distributed in a private university. There are 146 data from respondents that can be used for data analysis. Using both PLS algorithm and bootstrapping procedure in SmartPLS®, several findings can be excerpt from the analysis. First, gender affects the relationship between information quality and actual use. Second, gender does not have impact on the relationship between system quality and actual use, perceived benefit and actual use, service quality and actual use, actual use and user satisfaction. As general conclusion, gender does not impact most factors of the information system usage and satisfaction model. This result is promising in term of gender role in digitation process in organization since gender gap mostly does not exist. Further analysis and implications are discussed in the article.
Keywords:
Information system success Gender Moderating variable System usage User satisfactionReferences
Alkhawaja, Maha Ismail, Mutia Sobihah Abd Halim, Mohanad S. S. Abumandil, and Ahmed Samed Al-Adwan. 2022. “System Quality and Student’s Acceptance of the E-Learning System: The Serial Mediation of Perceived Usefulness and Intention to Use.” Contemporary Educational Technology 14 (2): ep350. https://doi.org/10.30935/cedtech/11525.
Angelina, Ruth Johana, Aji Hermawan, and Arif Imam Suroso. 2019. “Analyzing E-Commerce Success Using DeLone and McLean Model.” Journal of Information Systems Engineering and Business Intelligence 5 (2): 156. https://doi.org/10.20473/jisebi.5.2.156-162.
Banafo Akrong, Godwin, Shao Yunfei, and Ebenezer Owusu. 2022. “Development and Validation of an Improved DeLone-McLean IS Success Model - Application to the Evaluation of a Tax Administration ERP.” International Journal of Accounting Information Systems 47 (December). https://doi.org/10.1016/j.accinf.2022.100579.
Binyamin, Sami S., Malcolm J. Rutter, and Sally Smith. 2020. “The Moderating Effect of Gender and Age on the Students’ Acceptance of Learning Management Systems in Saudi Higher Education.” Knowledge Management & E-Learning: An International Journal 12 (1): 30–62. https://doi.org/10.34105/j.kmel.2020.12.003.
Cai, Zhihui, Xitao Fan, and Jianxia Du. 2017. “Gender and Attitudes toward Technology Use: A Meta-Analysis.” Computers & Education 105 (February): 1–13. https://doi.org/10.1016/j.compedu.2016.11.003.
Çelik, Kamil, and Ahmet Ayaz. 2022. “Validation of the Delone and McLean Information Systems Success Model: A Study on Student Information System.” Education and Information Technologies 27 (4): 4709–27. https://doi.org/10.1007/s10639-021-10798-4.
Cheng, Yung-Ming. 2014. “Extending the Expectation-Confirmation Model with Quality and Flow to Explore Nurses’ Continued Blended e-Learning Intention.” Information Technology & People 27 (3): 230–58. https://doi.org/10.1108/ITP-01-2013-0024.
Choi, Wona, Mi Jung Rho, Jiyun Park, Kwang-Jum Kim, Young Dae Kwon, and In Young Choi. 2013. “Information System Success Model for Customer Relationship Management System in Health Promotion Centers.” Healthcare Information Reserach 19 (2): 110–20. https://doi.org/10.4258/hir.2013.19.2.110.
Davis, Fred D. 1986. “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.” Massachusetts Institute of Technology.
DeLone, William H, and Ephraim R. McLean. 2003. “The DeLone and McLean Model of Information Systems Success : A Ten-Year Update.” Journal of Management Information Systems 19 (4): 9–30.
Doshi, Parinda, Priti Nigam, and Bikramjit Rishi. 2023. “System Quality Features and Continuous Usage Intention of Social Network Users: A Multi-Group Analysis with Gender.” Journal of Systems and Information Technology 25 (4): 480–501. https://doi.org/10.1108/JSIT-07-2022-0164.
Floropoulos, Jordan, Charalambos Spathis, Dimitrios Halvatzis, and Maria Tsipouridou. 2010. “Measuring the Success of the Greek Taxation Information System.” International Journal of Information Management 30 (1): 47–56. https://doi.org/10.1016/j.ijinfomgt.2009.03.013.
Goswami, Ananya, and Sraboni Dutta. 2016. “Gender Differences in Technology Usage—A Literature Review.” Open Journal of Business and Management 04 (01): 51–59. https://doi.org/10.4236/ojbm.2016.41006.
Henseler, Jörg, Geoffrey Hubona, and Pauline Ash Ray. 2016. “Using PLS Path Modeling in New Technology Research: Updated Guidelines.” Industrial Management and Data Systems 116 (1): 2–20. https://doi.org/10.1108/IMDS-09-2015-0382.
Hsu, Pei-Fang, HsiuJu Rebecca Yen, and Jung-Ching Chung. 2015. “Assessing ERP Post-Implementation Success at the Individual Level: Revisiting the Role of Service Quality.” Information & Management 52 (8): 925–42. https://doi.org/10.1016/j.im.2015.06.009.
Jain, Niyati, and T V Raman. 2022. “A Partial Least Squares Approach to Digital Finance Adoption.” Journal of Financial Services Marketing 27 (4): 308–21. https://doi.org/10.1057/s41264-021-00127-8.
Jami Pour, Mona, Javad Mesrabadi, and Mohammad Asarian. 2022. “Meta-Analysis of the DeLone and McLean Models in e-Learning Success: The Moderating Role of User Type.” Online Information Review 46 (3): 590–615. https://doi.org/10.1108/OIR-01-2021-0011.
Jeyaraj, Anand. 2020. “DeLone & McLean Models of Information System Success: Critical Meta-Review and Research Directions.” International Journal of Information Management 54 (October): 102139. https://doi.org/10.1016/j.ijinfomgt.2020.102139.
Khatoon, Sadia, Xu Zhengliang, and Hamid Hussain. 2020. “The Mediating Effect of Customer Satisfaction on the Relationship Between Electronic Banking Service Quality and Customer Purchase Intention: Evidence From the Qatar Banking Sector.” Sage Open 10 (2). https://doi.org/10.1177/2158244020935887.
Li, Yan, Yanqing Duan, Zetian Fu, and Philip Alford. 2012. “An Empirical Study on Behavioural Intention to Reuse E‐learning Systems in Rural China.” British Journal of Educational Technology 43 (6): 933–48. https://doi.org/10.1111/j.1467-8535.2011.01261.x.
Liébana-Cabanillas, Francisco, Nidhi Singh, Zoran Kalinic, and Elena Carvajal-Trujillo. 2021. “Examining the Determinants of Continuance Intention to Use and the Moderating Effect of the Gender and Age of Users of NFC Mobile Payments: A Multi-Analytical Approach.” Information Technology and Management 22 (2): 133–61. https://doi.org/10.1007/s10799-021-00328-6.
Lin, Tung-Ching, Sheng Wu, Jack Shih-Chieh Hsu, and Yi-Ching Chou. 2012. “The Integration of Value-Based Adoption and Expectation–Confirmation Models: An Example of IPTV Continuance Intention.” Decision Support Systems 54 (1): 63–75. https://doi.org/10.1016/j.dss.2012.04.004.
Mamonov, Stanislav, and Raquel Benbunan-Fich. 2019. “Unlocking the Smart Home: An Examination of Factors Influencing Smart Lock Adoption Intention.” In Humanizing Technology for a Sustainable Society, 33–48. Univresity of Maribor Press. https://doi.org/10.18690/978-961-286-280-0.3.
Mardiana, Siti, Jann H. Tjakraatmadja, and Atik Aprianingsih. 2015. “Validating the Conceptual Model for Predicting Intention to Use as Part of Information System Success Model: The Case of an Indonesian Government Agency.” Procedia Computer Science 72: 353–60. https://doi.org/10.1016/j.procs.2015.12.150.
Montero, N Javier, and L Mary Lind. 2020. “Determining Business Intelligence Usage Success.” International Journal of Computer Science and Information Technology 12 (6): 45–67. https://doi.org/10.5121/ijcsit.2020.12604.
Morris, Ally, Ulingeta O L Mbamba, and Severine Kessy. 2024. “Service Quality Attributes and Customers Usage of E-Banking Payment Transactions in Developing Countries: A Study of Tanzania.” University of Dar Es Salaam Library Journal 18 (2). https://doi.org/10.4314/udslj.v18i2.6.
Owusu, Acheampong. 2020. “The Impact of Audio–Visual Technologies on University Teaching and Learning in a Developing Economy.” SA Journal of Information Management 22 (1). https://doi.org/10.4102/sajim.v22i1.1235.
Pitt, Leyland F., Richard T. Watson, and C. Bruce Kavan. 1995. “Service Quality: A Measure of Information Systems Effectiveness.” MIS Quarterly 19 (2): 173. https://doi.org/10.2307/249687.
Qahman, Ashraf A., Hadi A. Dahlan. Mohamad S. Zakaria, Muhammad Hussin, Yousef K. A. Samra, Reda F. Aldaya, Rosseni Din, and Nabilah Othman. 2023. “The Adoption of AI-Enabled Adaptive e-Learning Environment in Palestinian Schools: Integrating Extended Technology Acceptance Model and System Success Model.” International Journal of Academic Research in Business and Social Sciences 13 (12). https://doi.org/10.6007/IJARBSS/v13-i12/20277.
Rachmat, Andrisasmita, Baharuddin Hamzah, and Muhammad Niswar. 2022. “Evaluation of Academic Information System Using Delone and Mclane Success Model: A Case Study Ff Academic Information System Hasanuddin University.” Jurnal Sistem Informasi 18 (1): 62–75. https://doi.org/10.21609/jsi.v18i1.1114.
Razak, Fahmi Zaidi Bin Abdul, Azlina Abu Bakar, and Wan Salihin Wong Abdullah. 2022. “The Linkage between Information Quality and E-Government Adoption: Is Gender a Moderating Factor.” Electronic Government, an International Journal 18 (1): 94. https://doi.org/10.1504/EG.2022.119618.
Ringle, Christian M, Marko Sarstedt, Noemi Sinkovics, and Rudolf R Sinkovics. 2023. “A Perspective on Using Partial Least Squares Structural Equation Modelling in Data Articles ✩” 48. https://doi.org/10.1016/j.dib.2023.109074.
Sadiq, Naila, Ummul Baneen, and Syeda Fizza Abbas. 2023. “Fintech Adoption and Its Impact on Sustainability: Risk Benefit Analysis of an Emerging Economy.” Audit and Accounting Review 3 (2): 95–126. https://doi.org/10.32350/aar.32.05.
Shahbaz, Muhammad, Changyuan Gao, Lili Zhai, Fakhar Shahzad, and Muhammad Rizwan Arshad. 2020. “Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare.” Complexity 2020 (January): 1–13. https://doi.org/10.1155/2020/2173765.
Shaouf, Abubaker, and Omar Altaqqi. 2018. “The Impact of Gender Differences on Adoption of Information Technology and Related Responses: A Review.” International Journal of Management and Applied Research 5 (1): 22–41. https://doi.org/10.18646/2056.51.18-003.
Sriram, C, and V Mohanasundaram. 2021. “Received and Perceived Status of Health Management Information System (HMIS) Software: A Structural Equation Model (SEM) Approach.” Medico Legal Update 21 (2): 404–10. https://doi.org/10.37506/mlu.v21i2.2715.
Trabelsi-Zoghlami, Amira, Sarra Berraies, and Karim Ben Yahia. 2020. “Service Quality in a Mobile-Banking-Applications Context: Do Users’ Age and Gender Matter?” Total Quality Management & Business Excellence 31 (15–16): 1639–68. https://doi.org/10.1080/14783363.2018.1492874.
Venkatesh, Viswanath, Fred D Davis, and Michael G Morris. 2007. “Dead Or Alive ? The Development , Trajectory And Future Of Technology Adoption Research.” Journal of the Association for Information Systems 8 (4): 267–86.
Venkatesh, Viswanath, James Y L Thong, and Xin Xu. 2012. “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology.” MIS Quarterly 36 (1): 157–78.
———. 2016. “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead.” Journal of the Association for Information Systems 17 (5): 328–76.
Wang, Baolu, Jung E. Ha-Brookshire, and Wesley Bonifay. 2022. “Measuring Perceived Benefits and Costs of New Technology Adoption in the Chinese Textile and Apparel Industry.” Clothing and Textiles Research Journal 40 (3): 187–202. https://doi.org/10.1177/0887302X20969889.
Yu, Zhonggen, and Xinjie Deng. 2022. “A Meta-Analysis of Gender Differences in e-Learners’ Self-Efficacy, Satisfaction, Motivation, Attitude, and Performance Across the World.” Frontiers in Psychology 13 (May). https://doi.org/10.3389/fpsyg.2022.897327.
License
Copyright (c) 2026 Siti Mardiana, Helin Garlinia Yudawisastra, Neneng Nurbaeti Amin, Alia Tri Utami, Sofa Parihah Nurasiah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Downloads
How to Cite
