Purpose: This research aims to investigate the impact of technological challenges, including techno-overload, techno-complexity, and techno-insecurity, on employee job satisfaction within the banking sector of Saudi Arabia. Additionally, the study examines the mediating roles of supervisor support and job clarity in buffering the effects of technological challenges on job satisfaction. Method: The study employs a quantitative research design, utilizing an online questionnaire to collect data from banking employees in Saudi Arabia. The sample size of 135 participants was determined using the rule of thumb technique. Random sampling was utilized to ensure representativeness. Data analysis was conducted using Statistical Package for Social Sciences (SPSS) to explore the relationships between technological challenges, supervisor support, job clarity, and employee job satisfaction. Findings: The findings of the study reveal a significant negative impact of techno-overload, techno-complexity, and techno-insecurity on employee job satisfaction within the banking sector of Saudi Arabia. Moreover, supervisor support and job clarity were found to mediate these relationships, highlighting their importance in mitigating the adverse effects of technological challenges on job satisfaction. Originality/Significance: This research contributes to the existing body of knowledge by providing empirical evidence on the relationships between technological challenges, supervisor support, job clarity, and employee job satisfaction within the specific context of Saudi Arabian banks. The findings have significant implications for organizational leaders and managers in developing evidence-based strategies to manage technological challenges and promote employee well-being in the banking sector of Saudi Arabia.

Abbas, A., Eliyana, A., Ekowati, D., et al. (2020). Data set on coping strategies in the digital age: The role of psychological well-being and social capital among university students in Java Timor, Surabaya, Indonesia. Data in Brief, 30, 105583. https://doi.org/10.1016/j.dib.2020.105583

Afrin, S., Asyraf Bin Mohd Kassim, M., Yusof, M. F., et al. (2023). Investigating the Determinants of Employee Performance for Sustainability: A Study on the Bangladesh Insurance Industry. Sustainability, 15(7), 5674. https://doi.org/10.3390/su15075674

Ampofo, E. T. (2020). Mediation effects of job satisfaction and work engagement on the relationship between organisational embeddedness and affective commitment among frontline employees of star–rated hotels in Accra. Journal of Hospitality and Tourism Management, 44, 253–262. https://doi.org/10.1016/j.jhtm.2020.06.002

Asad, M. M., Erum, D., Churi, P., et al. (2023). Effect of technostress on psychological well-being of post-graduate students: A perspective and correlational study of Higher Education Management. International Journal of Information Management Data Insights, 3(1), 100149. https://doi.org/10.1016/j.jjimei.2022.100149

Bhardwaj, A., Mishra, S., & Kumar Jain, T. (2021). An analysis to understanding the job satisfaction of employees in banking industry. Materials Today: Proceedings, 37, 170–174. https://doi.org/10.1016/j.matpr.2020.04.783

Bourlakis, M., Nisar, T. M., & Prabhakar, G. (2023). How technostress may affect employee performance in educational work environments. Technological Forecasting and Social Change, 193, 122674. https://doi.org/10.1016/j.techfore.2023.122674

Bukhatir, A., Al-Hawari, M. A., Aderibigbe, S., et al. (2023). Improving student retention in higher education institutions—Exploring the factors influencing employees extra-role behavior. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100128. https://doi.org/10.1016/j.joitmc.2023.100128

Bullini Orlandi, L., Veglianti, E., Zardini, A., et al. (2024). Enhancing employees’ remote work experience: Exploring the role of organizational job resources. Technological Forecasting and Social Change, 199, 123075. https://doi.org/10.1016/j.techfore.2023.123075

Califf, C. B., & Brooks, S. (2020). An empirical study of techno-stressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers & Education, 157, 103971. https://doi.org/10.1016/j.compedu.2020.103971

Califf, C. B., Sarker, S., & Sarker, S. (2020). The Bright and Dark Sides of Technostress: A Mixed-Methods Study Involving Healthcare IT. MIS Quarterly, 44(2), 809–856. https://doi.org/10.25300/misq/2020/14818

Casino-García, A. M., García-Pérez, J., & Llinares-Insa, L. I. (2019). Subjective Emotional Well-Being, Emotional Intelligence, and Mood of Gifted vs. Unidentified Students: A Relationship Model. International Journal of Environmental Research and Public Health, 16(18), 3266. https://doi.org/10.3390/ijerph16183266

Chen, T. J., & Wu, C. M. (2020). Can newcomers perform better at hotels? Examining the roles of transformational leadership, supervisor-triggered positive affect, and perceived supervisor support. Tourism Management Perspectives, 33, 100587. https://doi.org/10.1016/j.tmp.2019.100587

Chiu, C. M., Tan, C. M., Hsu, J. S. C., et al. (2023). Employee deviance: the impacts of techno-insecurity and moral disengagement. Information Technology & People, 36(1), 140–164. https://doi.org/10.1108/itp-03-2021-0198

Christian, M., Purwanto, E., & Wibowo, S. (2020). Technostress creators on teaching performance of private universities in Jakarta during covid-19 pandemic. Technology Reports of Kansai University, 62(06), 2799–2809.

da Silva, F. P., Jerónimo, H. M., Henriques, P. L., et al. (2024). Impact of digital burnout on the use of digital consumer platforms. Technological Forecasting and Social Change, 200, 123172. https://doi.org/10.1016/j.techfore.2023.123172

Elmadag, A. B., Okan, M., & Kurtuldu, E. (2022). Improving self-regulated learning competencies of service employees: roles of regulatory appraisals and supportive resources. Journal of Organizational Change Management, 36(2), 290–304. https://doi.org/10.1108/jocm-04-2022-0122

Epler, R. T., Schmitt, L., Mathis, D., et al. (2023). Do salesforce management systems actually drive salesperson intentions? Industrial Marketing Management, 113, 42–57. https://doi.org/10.1016/j.indmarman.2023.05.014

Fernández-Batanero, J. M., Román-Graván, P., Reyes-Rebollo, M. M., et al. (2021). Impact of Educational Technology on Teacher Stress and Anxiety: A Literature Review. International Journal of Environmental Research and Public Health, 18(2), 548. https://doi.org/10.3390/ijerph18020548

Ilyas, A., Khan, A. H., Zaid, F., et al. (2020). Turnover Intention of Employees, Supervisor Support, and Open Innovation: The Role of Illegitimate Tasks. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 128. https://doi.org/10.3390/joitmc6040128

Issa, H., Jaber, J., & Lakkis, H. (2024). Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems. Technological Forecasting and Social Change, 202, 123311. https://doi.org/10.1016/j.techfore.2024.123311

Jolly, P. M., Kong, D. T., & Kim, K. Y. (2021). Social support at work: An integrative review. Journal of Organizational Behavior, 42(2), 229–251. https://doi.org/10.1002/job.2485

Ju, D., Jiao, J., Zhang, W., et al. (2013). Effects of Role Clarity and Person-job Fit on Job Involvement: Goal Orientations as Moderators. Academy of Management Proceedings, 2013(1), 13646. https://doi.org/10.5465/ambpp.2013.13646abstract

Kalinić, Z., Marinković, V., Kalinić, L., et al. (2021). Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis. Expert Systems with Applications, 175, 114803. https://doi.org/10.1016/j.eswa.2021.114803

Kaltenegger, H. C., Marques, M. D., Becker, L., et al. (2024). Prospective associations of technostress at work, burnout symptoms, hair cortisol, and chronic low-grade inflammation. Brain, Behavior, and Immunity, 117, 320–329. https://doi.org/10.1016/j.bbi.2024.01.222

Khlaif, Z. N., Sanmugam, M., Hattab, M. K., et al. (2023). Mobile technology features and technostress in mandatory online teaching during the COVID-19 crisis. Heliyon, 9(8), e19069. https://doi.org/10.1016/j.heliyon.2023.e19069

Kitsios, F., Giatsidis, I., & Kamariotou, M. (2021). Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 204. https://doi.org/10.3390/joitmc7030204

Kurniawaty, K., Ramly, M., & Ramlawati, R. (2019). The effect of work environment, stress, and job satisfaction on employee turnover intention. Management Science Letters, 877–886. https://doi.org/10.5267/j.msl.2019.3.001

La Torre, G., De Leonardis, V., & Chiappetta, M. (2020). Technostress: how does it affect the productivity and life of an individual? Results of an observational study. Public Health, 189, 60–65. https://doi.org/10.1016/j.puhe.2020.09.013

Li, L., & Wang, X. (2020). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition, Technology & Work, 23(2), 315–330. https://doi.org/10.1007/s10111-020-00625-0

Ma, J., Ollier-Malaterre, A., & Lu, C. (2021). The impact of techno-stressors on work–life balance: The moderation of job self-efficacy and the mediation of emotional exhaustion. Computers in Human Behavior, 122, 106811. https://doi.org/10.1016/j.chb.2021.106811

Murray, S. A., Shuler, H. D., Davis, J. S., et al. (2022). Managing technostress in the STEM world. Trends in Biotechnology, 40(8), 903–906. https://doi.org/10.1016/j.tibtech.2022.05.001

Naqvi, S. M. M. R., & Bashir, S. (2015). IT-expert retention through organizational commitment: A study of public sector information technology professionals in Pakistan. Applied Computing and Informatics, 11(1), 60–75. https://doi.org/10.1016/j.aci.2011.11.001

Nascimento, L., Correia, M. F., & Califf, C. B. (2024). Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress. Technology in Society, 76, 102428. https://doi.org/10.1016/j.techsoc.2023.102428

Nazareno, L., & Schiff, D. S. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society, 67, 101679. https://doi.org/10.1016/j.techsoc.2021.101679

Niet, I., Van den Berghe, L., & van Est, R. (2023). Societal impacts of AI integration in the EU electricity market: The Dutch case. Technological Forecasting and Social Change, 192, 122554. https://doi.org/10.1016/j.techfore.2023.122554

Ojo, A. O., Fawehinmi, O., & Yusliza, M. Y. (2022). Survey data on the social, personal, and work resources associated with work engagement among knowledge workers in Malaysia amid the COVID-19 pandemic. Data in Brief, 40, 107690. https://doi.org/10.1016/j.dib.2021.107690

Porcu, L., del Barrio-García, S., Alcántara-Pilar, J. M., et al. (2019). Analyzing the influence of firm-wide integrated marketing communication on market performance in the hospitality industry. International Journal of Hospitality Management, 80, 13–24. https://doi.org/10.1016/j.ijhm.2019.01.008

Querbach, S., Waldkirch, M., & Kammerlander, N. (2022). Benefitting from benefits—A comparison of employee satisfaction in family and non-family firms. Journal of Family Business Strategy, 13(2), 100351. https://doi.org/10.1016/j.jfbs.2020.100351

Rayburn, S. W., Badrinarayanan, V., Anderson, S. T., et al. (2021). Continuous techno-training and business-to-business salesperson success: How boosting techno-efficacy enhances sales effort and performance. Journal of Business Research, 133, 66–78. https://doi.org/10.1016/j.jbusres.2021.04.066

Ressang-Wildschut, J., Oldenhof, L., & Leistikow, I. (2023). Can leadership make the difference? A scoping review of leadership and its effects in child and youth care. Children and Youth Services Review, 150, 107017. https://doi.org/10.1016/j.childyouth.2023.107017

Richter, E., Lucksnat, C., Redding, C., et al. (2022). Retention intention and job satisfaction of alternatively certified teachers in their first year of teaching. Teaching and Teacher Education, 114, 103704. https://doi.org/10.1016/j.tate.2022.103704

Sargent, A. C., Shanock, L. G., Banks, G. C., et al. (2022). How gender matters: A conceptual and process model for family-supportive supervisor behaviors. Human Resource Management Review, 32(4), 100880. https://doi.org/10.1016/j.hrmr.2021.100880

Shahzad, M. F., Khan, K. I., Saleem, S., et al. (2021). What Factors Affect the Entrepreneurial Intention to Start-Ups? The Role of Entrepreneurial Skills, Propensity to Take Risks, and Innovativeness in Open Business Models. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 173. https://doi.org/10.3390/joitmc7030173

Shen, B., & Kuang, Y. (2022). Assessing the relationship between technostress and knowledge hiding—a moderated mediation model. Data and Information Management, 6(1), 100002. https://doi.org/10.1016/j.dim.2022.100002

Sinha, E., & Laghate, K. (2023). Individual self-concept and after-hours work behavior: Effect on employee engagement and the moderating roles of POS and PSS. Social Sciences & Humanities Open, 7(1), 100451. https://doi.org/10.1016/j.ssaho.2023.100451

Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., et al. (2007). The Impact of Technostress on Role Stress and Productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/mis0742-1222240109

Tu, Y. T., Sulistiawan, J., Ekowati, D., et al. (2022). Work-family conflict and salespeople deviant behavior: the mediating role of job stress. Heliyon, 8(10), e10881. https://doi.org/10.1016/j.heliyon.2022.e10881

Urukovičová, N., Rošková, E., Schraggeová, M., et al. (2023). Psychometric properties of the Technostress Creators Inventory among employed Slovak respondents. Computers in Human Behavior Reports, 12, 100324. https://doi.org/10.1016/j.chbr.2023.100324

van der Linden, S., Papadopoulos, P. M., Nieveen, N., et al. (2023). ReflAct: Formative assessment for teacher reflection in video-coaching settings. Computers & Education, 203, 104843. https://doi.org/10.1016/j.compedu.2023.104843

Velez, M. J., & Neves, P. (2017). The relationship between abusive supervision, distributive justice and job satisfaction: A substitutes for leadership approach. European Review of Applied Psychology, 67(4), 187–198. https://doi.org/10.1016/j.erap.2017.05.005

Viotti, S., Sottimano, I., Converso, D., et al. (2020). The relationship between psychosocial characteristics of the work environment and job satisfaction in an Italian public ECE service: A cross-lagged study. Early Childhood Research Quarterly, 53, 464–475. https://doi.org/10.1016/j.ecresq.2020.06.002

Wen, H., & Liu-Lastres, B. (2021). Examining the impact of psychological capital on workplace outcomes of ethnic minority foodservice employees. International Journal of Hospitality Management, 94, 102881. https://doi.org/10.1016/j.ijhm.2021.102881

Yeniaras, V., & Altiniğne, N. (2023). Techno Insecurity, Emotional Exhaustion and Job Performance: A Theoretical Model Proposal (Turkish). Sosyal Mucit Academic Review, 4(3), 410–433. https://doi.org/10.54733/smar.1314699

Yunita, T., Sasmoko, S., Bandur, A., et al. (2023). Organizational ambidexterity: The role of technological capacity and dynamic capabilities in the face of environmental dynamism. Heliyon, 9(4), e14817. https://doi.org/10.1016/j.heliyon.2023.e14817

Zada, M., Khan, J., Saeed, I., et al. (2023). Linking public leadership with project management effectiveness: Mediating role of goal clarity and moderating role of top management support. Heliyon, 9(5), e15543. https://doi.org/10.1016/j.heliyon.2023.e15543