Journal of Information Systems Engineering and Management

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 4, Article No: 25181
https://doi.org/10.55267/iadt.07.15204

Published Online: 26 Sep 2024

Views: 16 | Downloads: 11

In an era characterized by the pervasiveness of technology in the workplace, cloud computing has revolutionized the way we work and collaborate. While this transformation offers numerous advantages, it also introduces new challenges, particularly in terms of workplace tension and Student well-being. The purpose of this study was to investigate the relationship between cloud computing and student job search stress, with a focus on the mediating role of psychological well-being and the moderating role of technological proficiency. To achieve these goals, an online questionnaire was distributed to 460 individuals from third year students of higher vocational institutes and detailed demographic data, such as age, gender, field of study, and prior experience with cloud computing, were collected to provide a comprehensive understanding of the sample. Smart PLS 4, a structural equation modeling tool, was used to analyze the data. The research strategy included a thorough evaluation of cloud computing in student stress management, which served as the study's theoretical underpinning. The study found that cloud computing affects student job search and mental health. It also found that psychological well-being mediates the relationship between cloud computing use and student job search stress. Additionally, technological proficiency was identified as a moderator between cloud computing and student stress management, underscoring the importance of individual differences in technological aptitude. This study advances academic understanding by addressing the complexities introduced by cloud computing, thus enriching the existing literature. Moreover, it offers practical guidance to firms and students navigating cloud computing's influence on job search stress. Specific recommendations for enhancing student welfare and reducing stress in the context of cloud computing adoption are provided. The cloud collaboration tools and remote work practices of today's workplace make this research relevant. Overall, it contributes to both academia and practice by providing actionable insights for improving employee well-being and success in the era of cloud computing.

Application of Cloud Computing Student Job Search Stress Technological Proficiency Cloud Service Cloud Collaboration Tools

• Abdullayeva, F. (2023). Cyber resilience and cyber security issues of intelligent cloud computing systems. Results in Control and Optimization, 12, 100268.
• Abdurrahman, Parmin, & Muryanto, S. (2022). Evaluation on the automotive skill competency test through ‘discontinuity’ model and the competency test management of vocational education school in Central Java, Indonesia. Heliyon, 8(2), e08872.
• Afthanorhan, A., Ghazali, P. L., & Rashid, N. (2021). Discriminant validity: A comparison of CBSeM and consistent PLS using Fornell & Larcker and HTMT approaches. Journal of Physics: Conference Series, 1874(1), 012085.
• Ahmad, S., Shakeel, I., Mehfuz, S., & Ahmad, J. (2023). Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions. Computer Science Review, 49, 100568.
• Akortiakuma, M. J. K., Dzansi, D. G., & Aziato, P. L. (2022). Psychological well-being of patients recovering from abdominal surgery: A qualitative study. Perioperative Care and Operating Room Management, 26, 100228.
• Aktan, M. E., Turhan, Z., & Dolu, İ. (2022). Attitudes and perspectives towards the preferences for artificial intelligence in psychotherapy. Computers in Human Behavior, 133, 107273.
• Ampatzidis, Y., Partel, V., & Costa, L. (2020). Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence. Computers and Electronics in Agriculture, 174, 105457.
• Belda-Medina, J. (2022). Promoting inclusiveness, creativity and critical thinking through digital storytelling among EFL teacher candidates. International Journal of Inclusive Education, 26(2), 109-123.
• Bowman, J. (2023). Whose unemployment hurts more? Joblessness and subjective well-being in U.S. married couples. Social Science Research, 111, 102795.
• Brooks, S. K., & Patel, S. S. (2022). Challenges and opportunities experienced by performing artists during COVID-19 lockdown: Scoping review. Social Sciences & Humanities Open, 6(1), 100297.
• Cao, Y., & AlKubaisy, Z. M. (2022). Integration of computer-based technology in smart environment in an EFL structures. Smart Structures and Systems, 29(3), 375-387.
• Chen, Y., Tong, W., Feng, D., & Wang, Z. (2022). Cora: Data correlations-based storage policies for cloud object storage. Future Generation Computer Systems, 129, 331-346.
• Cheng, J., Liu, W., & Li, Z. (2021). Embedded GPSGSM based on cloud computing data processing in soldiers’ physical fitness training. Microprocessors and Microsystems, 82, 103905.
• Chiu, M. L., & Lin, C. N. (2022). Developing supply chain open innovation capability: The mediating role of the knowledge creation process, governance mechanism and technology as a driver. Journal of Innovation & Knowledge, 7(4), 100264.
• Chu, A. M. Y., Chan, T. W. C., & So, M. K. P. (2022). Learning from work-from-home issues during the COVID-19 pandemic: Balance speaks louder than words. PLoS One, 17. https://doi.org/10.1371/JOURNAL.PONe.0261969
• Dóra, K., Péter, R., Péter, S. Z., & Andrea, C. (2019). The effect of organizational culture on employee well-being: work-related stress, employee identification, turnover intention. Journal of International Cooperation and Development, 2(2), 19.
• Dubey, A., & Verma, A. S. (2023). Intelligent and sustainable approaches for medical big data management. In Intelligent data-centric systems (pp. 83-108). Cambridge, MA: Academic Press.
• Fagerholm, U., Spjuth, O., & Hellberg, S. (2022). The impact of reference data selection for the prediction accuracy of intrinsic hepatic metabolic clearance. Journal of Pharmaceutical Sciences, 111(9), 2645-2649.
• Faridi, F., Sarwar, H., Ahtisham, M., Kumar, S., & Jamal, K. (2022). Cloud computing approaches in health care. Materials Today: Proceedings, 51, 1217-1223.
• Gao, Q., Wu, C., Wang, L., & Zhao, X. (2020). The entrepreneur’s psychological capital, creative innovation behavior, and enterprise performance. Frontiers in Psychology, 11, 1651.
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
• Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566-584.
• Haugeland, I. K. F., Følstad, A., Taylor, C., & Bjørkli, C. A. (2022). Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design. International Journal of Human-Computer Studies, 161, 102788.
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
• Irshad, K., Islam, N., Gari, A. A., Algarni, S., Alqahtani, T., & Imteyaz, B. (2023). Arithmetic optimization with hybrid deep learning algorithm based solar radiation prediction model. Sustainable Energy Technologies and Assessments, 57, 103165.
• Javed, A., Iqbal, J., Iqbal, S. M. J., & Imran, M. (2021). Sustainable leadership and employee innovative behavior: Discussing the mediating role of creative self-efficacy. Journal of Public Affairs, 21(3), e2547.
• Javed, H. A. [Hafiza AReesha], Nawaz, S., & Javed, H. A. [Hafiza Arooba] (2023). Synthesis of success: Crafting sustainable performance through e-hrm innovation, organizational agility, and cultural harmony in SMEs. Pakistan Journal of Humanities and Social Sciences, 11(3), 3379-3395.
• Jeong, K. O. (2017). Preparing EFL student teachers with new technologies in the Korean context. Computer Assisted Language Learning, 30(6), 488-509.
• Karnad, V., & Udiaver, V. (2022). Social manufacturing in the fashion industry to generate sustainable fashion value creation. In Digital manufacturing technology for sustainable anthropometric apparel (pp. 49-67). Sawston, UK: Woodhead Publishing.
• Khoda Parast, F., Sindhav, C., Nikam, S., Izadi Yekta, H., Kent, K. B., & Hakak, S. (2022). Cloud computing security: A survey of service-based models. Computers & Security, 114, 102580.
• Kim, Y. J., Aslam, M. S., Deng, R., ain Leghari, Q., Naseem, S., Hassan, M. M. U., . . . Lkhagvasuren, D. (2023). Intolerance of uncertainty across stress, anxiety, and depression among university students in Pakistan: A descriptive cross-sectional study. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon.2023.e16636
• Knebel, F. P., Trevisan, R., Nascimento, G. S. do, Abel, M., & Wickboldt, J. A. (2023). A study on cloud and edge computing for the implementation of digital twins in the Oil & Gas industries. Computers & Industrial Engineering, 182, 109363.
• Labrague, L. J., Aguilar-Rosales, R., Yboa, B. C., & Sabio, J. B. (2023). Factors influencing student nurses’ readiness to adopt artificial intelligence (AI) in their studies and their perceived barriers to accessing AI technology: A cross-sectional study. Nurse Education Today, 130, 105945.
• Lin, T., Wu, P., & Gao, F. (2022). Information security of flowmeter communication network based on multi-sensor data fusion. Energy Reports, 8, 12643-12652.
• Lv, S., Tan, H., Zheng, W., Zhang, T., & Wang, M. (2023). A dynamic conjunctive keywords searchable symmetric encryption scheme for multiple users in cloud computing. Computer Communications, 209, 239-248.
• 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.
• Maheswari, K. G., Siva, C., & Nalinipriya, G. (2023). Optimal cluster based feature selection for intrusion detection system in web and cloud computing environment using hybrid teacher learning optimization enables deep recurrent neural network. Computer Communications, 202, 145-153.
• Manoj, T., Krishnamoorthi, M., & Narendra, V. G. (2023). A trusted IoT data sharing and secure oracle based access for agricultural production risk management. Computers and Electronics in Agriculture, 204, 107544.
• Marinescu, D. C. (2023). Cloud data storage. In Cloud computing (3rd ed.) (pp. 215-256). https://doi.org/10.1016/B978-0-32-385277-7.00014-2
• Martí, G. P., Caballero, F. S., & Sellabona, E. S. (2020). Does emotional intelligence have an impact on linguistic competences? A primary education study. Sustainability (Switzerland), 12(24), 1-13.
• Martin Ginis, K. A., Sinden, A. R., Bonaccio, S., Labbé, D., Guertin, C., Gellatly, I. R., . . . Miller, W. C. (2023). Experiential aspects of participation in employment and mobility for adults with physical disabilities: Testing cross-sectional models of contextual influences and well-being outcomes. Archives of Physical Medicine and Rehabilitation, 105(2), 303-313.
• Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., . . . Cortese, C. G. (2020). Wellbeing costs of technology use during Covid-19 remote working: An investigation using the Italian translation of the technostress creators scale. Sustainability, 12(15), 5911.
• Munawar, S., Yousaf, D. H. Q., Ahmed, M., & Rehman, D. S. (2022). Effects of green human resource management on green innovation through green human capital, environmental knowledge, and managerial environmental concern. Journal of Hospitality and Tourism Management, 52, 141-150.
• Nakimuli, W., Garcia-Reinoso, J., Sierra-Garcia, J. E., & Serrano, P. (2022). Exploiting radio access information to improve performance of remote-controlled mobile robots in MeC-based 5G networks. Computer Networks, 212, 109061.
• Nunnally, J. (1978). Psychometric theory. New York, NY: McGraw-Hill.
• Ong, C. W., Barthel, A. L., & Hofmann, S. G. (2023). The relationship between psychological inflexibility and well-being in adults: A meta-analysis of the acceptance and action questionnaire. Behavior Therapy. https://doi.org/10.1016/j.beth.2023.05.007
• Orsi-Hunt, R., Harrison, C. L., Rockwell, K. E., & Barbee, A. P. (2023). Addressing secondary traumatic stress, burnout, resilience and turnover in the child welfare workforce: Results from a 6-month, cluster-randomized control trial of Resilience Alliance. Children and Youth Services Review, 151, 107044.
• Paoletti, J., Chen, M. A., Wu-Chung, E. L., Brown, R. L., LeRoy, A. S., Murdock, K. W., . . . Fagundes, C. P. (2023). Employment and family income in psychological and immune outcomes during bereavement. Psychoneuroendocrinology, 150, 106024.
• Pendyala, V. S., Yadav, N., Kulkarni, C., & Vadlamudi, L. (2022). Towards building a deep learning based automated Indian classical music tutor for the masses. Systems and Soft Computing, 4, 200042.
• Pezoulas, V. C., Exarchos, T. P., & Fotiadis, D. I. (2020). Cloud infrastructures for data sharing. In Medical data sharing, harmonization and analytics (pp. 185-226). Cambridge, MA: Academic Press.
• Pflügner, K., Maier, C., & Weitzel, T. (2021). The direct and indirect influence of mindfulness on techno-stressors and job burnout: A quantitative study of white-collar workers. Computers in Human Behavior, 115, 106566.
• Prajapati, P., & Shah, P. (2022). A review on secure data deduplication: Cloud storage security issue. Journal of King Saud University - Computer and Information Sciences, 34(7), 3996-4007.
• Puliafito, C., Cicconetti, C., Conti, M., Mingozzi, E., & Passarella, A. (2023). Balancing local vs. remote state allocation for micro-services in the cloud-edge continuum. Pervasive and Mobile Computing, 93, 101808.
• Rahayu, N. W., & Haningsih, S. (2021). Digital parenting competence of mother as informal educator is not inline with internet access. International Journal of Child-Computer Interaction, 29, 100291.
• Rezaee Vessal, S., Partouche-Sebban, J., Scuotto, V., & Maalaoui, A. (2021). Overcoming stressful life events at do-it-yourself (DIY) laboratories. A new trailblazing career for disadvantaged entrepreneurs. Technological Forecasting and Social Change, 164, 120506.
• Rodrigues, A. (2022). Centralized Management IoT Platform. Journal of Information Systems Engineering and Management, 7(3), 15783. https://doi.org/10.55267/iadt.07.12295
• Roh, T., Seok, J., & Kim, Y. (2022). Unveiling ways to reach organic purchase: Green perceived value, perceived knowledge, attitude, subjective norm, and trust. Journal of Retailing and Consumer Services, 67, 102988.
• Scalera, M., Gentile, E., Plantamura, P., & Dimauro, G. (2020). A systematic mapping study in cloud for educational innovation. Applied Sciences 2020, 10(13). https://doi.org/10.3390/APP10134531
• Seddiki, D., Galán, S. G., Expósito, J. E. M., Ibañez, M. V., Marciniak, T., & Pérez de Prado, R. J. (2022). Sustainable expert virtual machine migration in dynamic clouds. Computers and Electrical Engineering, 102, 108257.
• Sek-yum Ngai, S., Cheung, C. K., Mo, J., Wang, L., Ng, Y., & Wang, P. (2023). Career interventions and social well-being among non-engaged youth: Examining the mediating effects of career competency. Children and Youth Services Review, 106903.
• Sheng, N., Yang, C., Han, L., & Jou, M. (2023). Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion. Computers in Human Behavior, 139, 107500.
• Suhariadi, F., Sugiarti, R., Hardaningtyas, D., Mulyati, R., Kurniasari, E., Saadah, N., . . . Abbas, A. (2023). Work from home: A behavioral model of Indonesian education workers’ productivity during Covid-19. Heliyon, 9(3), e14082.
• Sun, J., Sarfraz, M., Ivascu, L., Iqbal, K., & Mansoor, A. (2022). How did work-related depression, anxiety, and stress hamper healthcare employee performance during COVID-19? The mediating role of job burnout and mental health. International Journal of Environmental Research and Public Health, 19(16), 10359.
• Sun, T., Wang, S., Jiang, S., Xu, B., Han, X., Lai, X., & Zheng, Y. (2022). A cloud-edge collaborative strategy for capacity prognostic of lithium-ion batteries based on dynamic weight allocation and machine learning. Energy, 239, 122185.
• Sun, X., & Song, Y. (2023). The Impact of Big Data and AI on Teacher Performance Reviews: A Study of Private Higher Vocational Colleges. Journal of Information Systems Engineering and Management, 8(4), 23228. https://doi.org/10.55267/iadt.07.14050
• Tabuenca, B., Moreno-Sancho, J. L., Arquero-Gallego, J., Greller, W., & Hernández-Leo, D. (2023). Generating an environmental awareness system for learning using IoT technology. Internet of Things, 22, 100756.
• Tang, X., Wei, S., & Chen, X. (2024). How do technology-driven stressors influence workarounds? Moderating roles of support structures and trait resilience. International Journal of Information Management, 74, 102718.
• ThiBac, D., & Minh, N. H. (2022). Design of network security storage system based on under cloud computing technology. Computers and Electrical Engineering, 103, 108334.
• Wang, S., Sun, Z., & Chen, Y. (2023). Effects of higher education institutes’ artificial intelligence capability on students’ self-efficacy, creativity and learning performance. Education and Information Technologies, 28(5), 4919-4939.
• Wissing, M. P., & Van Eeden, C. (2002). Empirical clarification of the nature of psychological well-being. South African Journal of Psychology, 32(1), 32-44.
• Yadav, V. S., Singh, A. R., Raut, R. D., Mangla, S. K., Luthra, S., & Kumar, A. (2022). Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review. Computers & Industrial Engineering, 169, 108304.
• Zahoor, N., Donbesuur, F., Christofi, M., & Miri, D. (2022). Technological innovation and employee psychological well-being: The moderating role of employee learning orientation and perceived organizational support. Technological Forecasting and Social Change, 179, 121610.
• Zaman, U., Florez-Perez, L., Anjam, M., Ghani Khwaja, M., & Ul-Huda, N. (2022). At the end of the world, turn left: Examining toxic leadership, team silence and success in mega construction projects. Engineering, Construction and Architectural Management, 30(6), 2436-2462.
• Zaman, U., Nawaz, S., Javed, A., & Rasul, T. (2020). Having a whale of a time: Linking self-determination theory (SDT), job characteristics model (JCM) and motivation to the joy of gig work. Cogent Business and Management, 7(1). https://doi.org/10.1080/23311975.2020.1807707

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