Investigating the Relationship between ERP-Related Technostress and Employee Performance
DOI:
https://doi.org/10.22555/pbr.v26i2.1259Keywords:
Enterprise resource planning (ERP) system, techno-stressor, technology acceptance model (TAM), Employee PerformanceAbstract
This study investigates the factors affecting the adoption of ERP systems in enhancing employee performance. Interestingly, it integrates the mediating role of Techno-Stressors to understand the negative effect of technology on the employee well-being which ultimately affects the performance of employees. The theoretical framework of this study is majorly based on the Technology Acceptance Model (TAM). TAM is most extensively applied model for the adoption of IT by end users. The data for this was collected from 123 participants in order to test the hypothesis while the hypothesis was checked with the SPSS Amos 23. This study firstly reconfirmed the TAM, stating that the intention to use ERP is driven by Perceived Usefulness (PU) and Perceived Ease of Use (PEoU). Furthermore, findings show a positive link between Intentions to use (IU) ERP systems with Usage of ERP. Additionally, the interesting part is that the study finds Usage of ERP positively impacts Employee performance but when the techno-stressor introduce as a mediator it will not enhance employee performance but instead causes stress to individuals in different forms. These insights underscore the importance of managing techno-stress to optimize ERP outcomes. It is concluded that ERP systems pave the way for substantial performance benefits, so organizations must consider and address the effects techno-stress to fully leverage these systems for sustainable productivity gains.
References
Akwa Nde, A. (2022). The influence of technostress and work life balance on Burnout among employees in the Banking sector in the Free State. https://scholar.ufs.ac.za/items/688fb3aa-157e-413e-a474-88b939ed74ad.
Ali, E. (2021). The Impacts of Triple A Supply Chain on Organizational Performance with the Mediating Roles of Supply Chain Performance in Bahir Dar and Kombolcha Textile Share Company [PhD Thesis]. http://ir.bdu.edu.et/handle/123456789/12012.
Alsyouf, A., Lutfi, A., Alsubahi, N., Alhazmi, F. N., Al Mugheed, K., Anshasi, R. J., Alharbi, N. I., & Albugami, M. (2023). The use of a technology acceptance model (TAM) to predict patients’ usage of a personal health record system: The role of security, privacy, and usability. International Journal of Environmental Research and Public Health, 20(2), 1347. https://doi.org/10.3390/ijerph20021347
Arora, R., Gera, S., & Saxena, M. (2021). Mitigating security risks on privacy of sensitive data used in cloud-based ERP applications. 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom), 458–463. https://ieeexplore.ieee.org/abstract/document/9441297/.
Bhardwaj, B., & Kalia, N. (2021). Contextual and task performance Role of employee engagement and organizational culture in hospitality industry. Vilakshan-XIMB Journal of Management, 18(2), 187–201. https://doi.org/10.1108/XJM-08-2020-0089
Bhattacharya, M., Ramakrishnan, T., & Fosso Wamba, S. (2023). Leveraging ERP systems for improving ERP effectiveness in emergency service organizations: An empirical study. Business Process Management Journal, 29(3), 710–736. https://doi.org/10.1108/BPMJ-06-2022-0303
Bondanini, G., Giorgi, G., Ariza-Montes, A., Vega Munoz, A., & Andreucci Annunziata, P. (2020). Technostress dark side of technology in the workplace: A scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 8013. https://doi.org/10.3390/ijerph17218013
Butt, S., Mahmood, A., Saleem, S., Murtaza, S. A., Hassan, S., & Molnár, E. (2023). The contribution of learner characteristics and perceived learning to students’ satisfaction and academic performance during COVID-19. Sustainability, 15(2), 1348. https://doi.org/10.3390/su15021348
Cash, P., Isaksson, O., Maier, A., & Summers, J. (2022). Sampling in design research: Eight key considerations. Design Studies, 78, 101077. https://doi.org/10.1016/j.destud.2021.101077
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989
Chen, Y., Wang, X., Benitez, J., Luo, X. (Robert), & Li, D. (2022). Does Techno-invasion Lead to Employees’ Deviant Behaviors? Journal of Management Information Systems, 39(2), 454–482. https://doi.org/10.1080/07421222.2022.2063557
Chopra, R., Sawant, L., Kodi, D., & Terkar, R. (2022). Utilization of ERP systems in manufacturing industry for productivity improvement. Materials Today: Proceedings, 62, 1238–1245. https://doi.org/10.1016/j.matpr.2022.04.529
Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (third edition). SAGE. 1412995310, 9781412995313
Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205, 219. https://doi.org/10.4018/978-1-4666-8156-9.ch013
Di Camillo, T. (2023). Optimizing operational efficiency A comprehensive study of ERP Systems and Accenture’s SAP utilization in work process enhancement. [PhD Thesis, Politecnico di Torino]. https://webthesis.biblio.polito.it/28332/.
Ebrahimi, N., Jani, R., & Abu Bakar, R. (2019). How personality moderates the effect of techno-stress on actual use of technology. Advances in Business Research International Journal (ABRIJ), 5(1), 42–53. https://doi.org/10.24191/abrij.v5i1.9975
Elizalde, R. R. (2021). Techno-Stress: Damage caused by new emerging risks. Laws, 10(3), 67.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Fraboni, F., Brendel, H., & Pietrantoni, L. (2023). Evaluating organizational guidelines for enhancing psychological well-being, safety, and performance in technology integration. Sustainability, 15(10), 8113. https://doi.org/10.3390/su15108113
Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307. https://doi.org/10.1016/j.ipm.2020.102307
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7. https://doi.org/10.17705/1CAIS.00407
Gupta, P., Prashar, S., Vijay, T. S., & Parsad, C. (2021). Examining the influence of antecedents of continuous intention to use an informational app: The role of perceived usefulness and perceived ease of use. International Journal of Business Information Systems, 36(2), 270. https://doi.org/10.1504/IJBIS.2021.112829
Hair, J. F. (Ed.). (2010). Multivariate data analysis: A global perspective (7. ed., global ed). Pearson. https://doi.org/10.4018/IJSSMET.2021090107
Hameed, I., Khan, A. K., Quratulain, S., Munawar, N., & Muhammad, K. (2022). Impact of Techno Overload on Students’ Performance in Technology-Enhanced Learning: The Mitigating Role of Peer Support and ICT Personnel Support. https://osf.io/preprints/edarxiv/2rt5f/.
Hancerliogullari Koksalmis, G., & Damar, S. (2022). An Empirical Evaluation of a Modified Technology Acceptance Model for SAP ERP System. Engineering Management Journal, 34(2), 201–216. https://doi.org/10.1080/10429247.2020.1860415
Hang, Y., Hussain, G., Amin, A., & Abdullah, M. I. (2022). The Moderating Effects of Technostress Inhibitors on Techno-Stressors and Employee’s Well-Being. Frontiers in Psychology, 12, 821446. https://doi.org/10.3389/fpsyg.2021.821446
Henn, M., Weinstein, M., & Foard, N. (2009). A critical introduction to social research (2. ed). SAGE. 9781848601796.
Hurbean, L., Dospinescu, O., Munteanu, V., & Danaiata, D. (2022). Effects of Instant Messaging Related Technostress on Work Performance and Well-Being. Electronics 2022, 11, 2535. s Note: MDPI stays neutral with regard to jurisdictional claims in published https://www.academia.edu/download/105512817/pdf.pdf.
Jackson, T. W., & Farzaneh, P. (2012). Theory-based model of factors affecting information overload. International Journal of Information Management, 32(6), 523–532.
https://doi.org/10.1016/j.ijinfomgt.2012.04.006
Judd, C. M., & Kenny, D. A. (1981). Process Analysis: Estimating Mediation in Treatment Evaluations. Evaluation Review, 5(5), 602–619. https://doi.org/10.1177/0193841X8100500502
Kim, D. G., & Lee, C. W. (2021). Exploring the roles of self-efficacy and technical support in the relationship between techno-stress and counter-productivity. Sustainability, 13(8), 4349. https://doi.org/10.3390/su13084349
Kim, Y. Y. (2021). How smart workers cope with techno invasion stress in work domain. Journal of the Korea Convergence Society, 12(3), 261–272. https://doi.org/10.15207/JKCS.2021.12.3.261
Koopmans, L., Bernaards, C., Hildebrandt, V., Van Buuren, S., Van Der Beek, A. J., & De Vet, H. C. W. (2012). Development of an individual work performance questionnaire. International Journal of Productivity and Performance Management, 62(1), 6–28. https://doi.org/10.1108/17410401311285273
Krauss, M. (2020). Digitalization of the workplace: How openness of employees moderates the effects of technostress on job satisfaction [Master’s Thesis, Universidade NOVA de Lisboa (Portugal)]. https://search.proquest.com/openview/b6d68945d73377e6a59d5974c5fdeeaf/1?pq-origsite=gscholar&cbl=2026366&diss=y
La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of techno stress: A systematic review. International Archives of Occupational and Environmental Health, 92, 13–35. https://doi.org/10.1007/s00420-018-1352-1
Le, M. D. (2021). User acceptance of enterprise resource planning systems: A study in small and medium enterprises in Vietnam. International Journal of Entrepreneurship and Innovation Management, 25(1), 72. https://doi.org/10.1504/IJEIM.2021.113799
Leso, B. H., & Cortimiglia, M. N. (2022). The influence of user involvement in information system adoption: An extension of TAM. Cognition, Technology & Work, 24(2), 215–231.
Li, J. (2024). The Past, Present and Future of Enterprise Resource Planning. Journal of Enterprise and Business Intelligence, 4(1), 32–41. https://doi.org/10.53759/5181/JEBI202404004
Liu, D., Lu, W., & Niu, Y. (2018). Extended Technology-Acceptance Model to Make Smart Construction Systems Successful. Journal of Construction Engineering and Management, 144(6), 04018035. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001487.
Madogwhe, S., & Omogero, E. F. (2023). Work-life balance and employee performance in higher institution in Warri delta state. International Journal of Management & Entrepreneurship Research, 5(1), 57–67. https://doi.org/10.51594/ijmer.v5i1.437
Muazu, S., Inuwa, U., & Ibrahim, A. (2024). Relationship between perceived usefulness, perceived ease and e-marketing intention among SMES in Gombe state, Nigeria. KWASU Journal of the Business of Education, 4(1), 127–138. 2408-5367.
Mukred, M., Alotaibi, F. M., Yusof, Z. M., Mokhtar, U. A., Hawash, B., & Ahmed, W. A. (2023). Enterprise resource planning adoption model for well-informed decision in higher learning institutions. Journal of Information Science, 49(3), 792–813. https://doi.org/10.1177/01655515211019703
Mullins, J. K., & Cronan, T. P. (2021). Enterprise systems knowledge, beliefs, and attitude: A model of informed technology acceptance. International Journal of Information Management, 59, 102348. https://doi.org/10.1016/j.ijinfomgt.2021.102348
Net Suite.com. (2024, September 27). 60 Critical ERP Statistics: Market Trends, Data and Analysis. Oracle NetSuite. https://www.netsuite.com/portal/resource/articles/erp/erp-statistics.shtml
Nisafani, A. S., Kiely, G., & Mahony, C. (2020). Workers’ technostress: A review of its causes, strains, inhibitors, and impacts. Journal of Decision Systems, 29(sup1), 243–258. https://doi.org/10.1080/12460125.2020.1796286
Nyo, M. S. (2022). Factors Influencing User Perception of ERP Software in Brothers Group of Copanies [PhD Thesis, MERAL Portal]. https://meral.edu.mm/record/8626/file_preview/Myat%20Sandi%20Nyo%2C%20EMBA-59%2C%2017th%20Batch.pdf?allow_aggs=True
Orheruata, E. J. (2023). Influence of Techno Stress and Work Schedule on Job Performance and Security of Secretaries in Tertiary Institutons in North-East, Nigeria [PhD Thesis, Kwara State University (Nigeria)]. https://search.proquest.com/openview/0ad25d9cd4ac2d46b33007a9a817cbff/1?pq-origsite=gscholar&cbl=2026366&diss=y
Penn, R. L. (2016). Mitigation strategies of technostress on supply chain management. Walden University. https://search.proquest.com/openview/e60fb7954aaf683ea32f4273b6b1739b/1?pq-origsite=gscholar&cbl=18750
Pothuganti, S. (2024). Technostress: A Comprehensive Literature review on Dimensions, Impacts, and Management Strategies. Computers in Human Behavior Reports, 100475.
Prastiawan, D. I., Aisjah, S., & Rofiaty, R. (2021). The effect of perceived usefulness, perceived ease of use, and social influence on the use of mobile banking through the mediation of attitude toward use. APMBA (Asia Pacific Management and Business Application), 9(3), 243–260. https://doi.org/10.21776/ub.apmba.2021.009.03.4
Putra, D. G., Rahayu, R., & Putri, A. (2021). The influence of Enterprise Resource Planning (ERP) implementation system on company performance mediated by organizational capabilities. Journal of Accounting and Investment, 22(2), 221–241. https://doi.org/10.18196/jai.v22i2.10196
Ragu Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
Rajan, C. A., & Baral, R. (2015). Adoption of ERP system: An empirical study of factors influencing the usage of ERP and its impact on end user. IIMB Management Review, 27(2), 105–117. https://doi.org/10.1016/j.iimb.2015.04.008
Rambulangi, V., Tampi, J. R., & Tulusan, F. M. (2024). Analysis of Employee Performance at the Bahu Subdistrict Office: Study on Aspects of Quality, Quantity, Timeliness, Effectiveness and Work Independence. Journal La Bisecoman, 5(1), 32–41. https://doi.org/10.37899/journallabisecoman.v5i1.1029
Rehman, L. U. (2022). Managing Change Through Resistance: A Network Dynamics Model for Adaptation to Techno-Change [PhD Thesis, Université de Pau et des Pays de l’Adour]. https://theses.hal.science/tel-04324895/.
Rektenwald, S. M. (2022). The Acceptance of Learning Management Systems by Higher Education Faculty in an Educational Landscape Influenced by a Global Pandemic. https://digitalcommons.acu.edu/etd/531/.
Sandar, M. (2023). Understanding technology acceptance and critical success factors of ERP Consultancies in Thailand [PhD Thesis, Thammasat University]. http://ethesisarchive.library.tu.ac.th/thesis/2023/TU_2023_6502043018_18222_27961.pdf
Shahrzadi, L., Mansouri, A., Alavi, M., & Shabani, A. (2024). Causes, consequences, and strategies to deal with information overload: A scoping review. International Journal of Information Management Data Insights, 4(2), 100261. https://doi.org/10.1016/j.jjimei.2024.100261
Stankeviciute Z. (2022). The Dark Side of Technology Use: The Relationship Between Technostress Creators, Employee Work-Life Balance, and Job Burnout While Working Remotely During the COVID-19 Lockdown. In L. Ivascu, L.-I. Cioca, & F. G. Filip (Eds.), Intelligent Techniques for Efficient Use of Valuable Resources (Vol. 227, pp. 119–138). Springer International Publishing. https://doi.org/10.1007/978-3-031-09928-1_8
Sternad, S., Gradisar, M., & Bobek, S. (2011). The influence of external factors on routine ERP usage. Industrial Management & Data Systems, 111(9), 1511–1530. https://doi.org/10.1108/02635571111182818
Talantis, S., Shin, Y. H., & Severt, K. (2020). Conference mobile application: Participant acceptance and the correlation with overall event satisfaction utilizing the technology acceptance model (TAM). Journal of Convention & Event Tourism, 21(2), 100–122. https://doi.org/10.1080/15470148.2020.1719949
Tarafdar, M., Pullins, E. Bolman., & Ragu Nathan, T. S. (2015). Technostress: Negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (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
Tarigan, Z. J. H., Siagian, H., & Sebayang, P. (2020). The impact of implementing enterprise resources planning (ERP) project on firm performance and organizational citizenship behavior as a moderating [PhD Thesis, Petra Christian University]. https://repository.petra.ac.id/19173/.
Uddin, M. A., Alam, M. S., Al Mamun, A., & Akter, A. (2020). A study of the adoption and implementation of enterprise resource planning (ERP): Identification of moderators and mediator. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), 2. https://doi.org/ 10.3390/joitmc6010002
Weerasekara, U., & Gooneratne, T. (2023). Enterprise resource planning (ERP) system implementation in a manufacturing firm: Rationales, benefits, challenges and management accounting ramifications. Accounting and Management Information Systems, 22(1), 86–110. https://doi.org/10.24818/jamis.2023.01005
Yamin, M. A. Y., & Sweiss, M. I. K. (2020). Investigating employee creative performance with integration of DeLone and McLean information system success model and technology acceptance model: The moderating role of creative self-efficacy. International Journal of Business Excellence, 22(3), 396. https://doi.org/10.1504/IJBEX.2020.110969
Zaman, M. S. (2020). Impact of Perceived Ease of Use and Perceived Usefulness of Enterprise Resource Planning System Adoption on End User Acceptance. Capital University: Islamabad, Pakistan. https://thesis.cust.edu.pk/UploadedFiles/MPM181001.pdf.
Zheng, J., & Khalid, H. (2022). The Adoption of Enterprise Resource Planning and Business Intelligence Systems in Small and Medium Enterprises: A Conceptual Framework. Mathematical Problems in Engineering, 2022, 1–15. https://doi.org/10.1155/2022/1829347
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