Strategies for Enhancing Employee Knowledge fnd Engagement in Automated Routine Work

Didit Darmawan

Authors

Didit Darmawan Universitas Sunan Giri Surabaya

Keywords:

Work automation, routine tasks, employee knowledge, work engagement, change management, human resource development, work transformation

Abstract

The advancement of automation technology has significantly transformed the landscape of work, with an increasing number of routine and structured tasks being replaced by machines and software systems. This transformation presents challenges for both organizations and employees, as it may reduce work engagement and necessitate adjustments in employee knowledge and skills. This study aims to analyze strategies that organizations can apply to enhance employee knowledge and engagement in response to changes in routine work that is increasingly automated. The method employed is a literature review that examines relevant scholarly sources. The findings indicate that employee knowledge and engagement can be improved through strategies such as competency development, role adjustment, the creation of supportive work environments, and effective communication. The main conclusion of this study is that the success of these strategies depends largely on the organization’s ability to involve employees in the change process and ensure that they understand the benefits of automation for career development and work performance. This study contributes to the development of human resource management theory and provides practical guidance for organizations in managing the transition toward more automated work environments while maintaining employee performance and well-being.

References

Abdullah, M. H. A. B., Gardi, B., & Darmawan, D. (2021). Innovation in human resource management to enhance organizational competitiveness in the era of globalization. Journal of Social Science Studies, 1(1), 51–58.

Arifin, S., Irfan, M., & Darmawan, D. (2021). How to Establish Work-Life Balance to Enhance Employee Job Satisfaction. Journal of Social Science Studies, 1(2), 21–24.

Barzani, L. A., Darmawan, D., & Zulkarnain, M. A. B. (2022). The application of sustainable supply chain management principles in the manufacturing industry to improve operational performance and corporate social responsibility. International Journal of Service Science, Management, Engineering, and Technology, 1(1), 38–45.

Buckingham, M., & Coffman, C. (1999). First, break all the rules: What the world’s greatest managers do differently. Simon & Schuster, New York, NY.

da Silva, B. dos S., Darmawan, D., & Gardi, B. (2022). A systematic approach to risk management to enhance information technology project success in a dynamic business environment. Journal of Social Science Studies, 2(2), 213–218.

Darmawan, D. (2020). Health, well-being, and productivity of senior employees in the era of artificial intelligence. Journal of Science, Technology and Society, 1(2), 43–50.

Darmawan, D. (2021). Objective vagueness, appraisal bias, and lack of employee involvement in performance appraisal and job satisfaction in organizations. Journal of Social Science Studies, 1(1), 117–122.

Darmawan, D. (2021). Social interaction in digital society: Changes in online communication patterns and dynamics of virtual communities. Studi Ilmu Sosial Indonesia, 1(1), 325–350.

Darmawan, D. (2022). Posthuman human resource management in organizations using generative artificial intelligence. Studi Ilmu Sosial Indonesia, 2(2), 97–124.

Darmawan, D., & Mardikaningsih, R. (2021). The role of positive psychological factors in enhancing employee engagement and commitment to work tasks. International Journal of Service Science, Management, Engineering, and Technology, 1(2), 37–44.

Darmawan, D., & Marsal, A. P. (2021). Design of performance evaluation and fair reward systems in modern organizations. Journal of Science, Technology and Society, 2(1), 45–52.

Darmawan, D., Mardikaningsih, R., Sinambela, E. A., Arifin, S., Putra, A. R., Hariani, M., Irfan, M., Al Hakim, Y. R., & Issalillah, F. (2020). The quality of human resources, job performance and employee loyalty. International Journal of Psychosocial Rehabilitation, 24(3), 2580–2592.

Duc, T. (2022). Robotic process automation and its effect on employees’ attitude and behaviour. https://doi.org/10.13140/rg.2.2.13856.25600

Eddine, B. A. S., & Darmawan, D. (2021). Professional employees, manual workers, and informal workers in achieving work-life balance. Studi Ilmu Sosial Indonesia, 1(1), 209–226.

Eddine, B. A. S., & Darmawan, D. (2022). Social construction of work-life balance in cultural and organizational norms. Studi Ilmu Sosial Indonesia, 2(1), 213–234.

Essa, N. E., & Mardikaningsih, R. (2023). Sustainable and fair technology for an equitable society. Journal of Social Science Studies, 3(1), 355–362.

Fang, A. C., Chen, V., & McDonald, M. (2023). Breaking down the impact of automation in manufacturing. 4, 127–136. https://doi.org/10.38105/spr.ja3pmglhj7

Fared, M. A., & Darmawan, D. (2021). Design and implementation of cross-functional training to improve team collaboration. Journal of Social Science Studies, 1(1), 215–220.

Geldsetzer, P. (2023). Review of the data and implications for the human resource function about the effect of developing technology on the workplace. International Journal for Multidisciplinary Research, 5(3). https://doi.org/10.36948/ijfmr.2023.v05i03.3261

Hariani, M., & Mardikaningsih, R. (2022). The performance of authenticity and the commodification of parasocial bonds: Twin pillars of influencer culture on social media. Studi Ilmu Sosial Indonesia, 2(2), 385–412.

Heß, P., Janßen, S., & Leber, U. (2023). The effect of automation technology on workers’ training participation. Economics of Education Review. https://doi.org/10.1016/j.econedurev.2023.102438

Ioanid, A., & Iliescu, D. (2022). Results of the innovative process: Measuring what matters. Journal of Innovation and Business Best Practices, 1–8. https://doi.org/10.5171/2022.178279

Kadhem, H. F. (2022). Effective training strategies to influence employees’ attitudes toward using automation. Route Educational and Social Science Journal. https://doi.org/10.17121/ressjournal.3263

Kalhori, M., & Kargar, M. J. (2017). An analytical employee performance evaluation approach in office automation and information systems. 324–343. https://doi.org/10.4018/978-1-5225-0654-6.CH016

Kaur, D. (2023). Drivers of employee engagement impacting employee performance. International Journal of Research in Human Resource Management, 5(2), 28–36. https://doi.org/10.33545/26633213.2023.v5.i2a.147

Lladós-Masllorens, J. (2018). La transformación del empleo en España derivada de la automatización y la inteligencia.

Lukić-Nikolić, J., Brkljač, M. N., & Jovanović, J. (2022). Doing digital business with robots: Necessary knowledge and skills of employees in digital age. International Review, 3–4, 13–17. https://doi.org/10.5937/intrev2204012l

Mardikaningsih, R., & Darmawan, D. (2021). Business sustainability strategies in the facing of regulatory uncertainty and managerial challenges. Journal of Social Science Studies, 1(2), 111–118.

Mardikaningsih, R., & Darmawan, D. (2022). Design and implementation of communication strategy in change management. Journal of Social Science Studies, 2(2), 237–242.

Mardikaningsih, R., & Darmawan, D. (2022). Digital human resource practices in remote work systems. Studi Ilmu Sosial Indonesia, 2(1), 357–388.

Mardikaningsih, R., & Darmawan, D. (2022). Situational leadership strategies to improve change management and team performance. Journal of Social Science Studies, 2(1), 247–252.

Mardikaningsih, R., & Darmawan, D. (2022). The role of self-efficacy in predicting employee adaptability to technological change in the workplace. International Journal of Service Science, Management, Engineering, and Technology, 2(3), 43–55.

Mardikaningsih, R., Halizah, S. N., Darmawan, D., Masithoh, N., & Nuraini, R. (2022). Examining the role of authentic leadership in shaping positive work climate and organizational citizenship behavior. International Journal of Service Science, Management, Engineering, and Technology, 2(1), 52–59.

Mardikaningsih, R., Halizah, S. N., Nuraini, R., & Darmawan, D. (2022). The role of ethical leadership in shaping a positive and sustainable organizational culture. International Journal of Service Science, Management, Engineering, and Technology, 2(2), 48–55.

Matošková, J., Crhová, Z., & Gregar, A. (2023). Why manufacturers need to engage employees when implementing a smart factory. Research-Technology Management, 66(3), 51–65. https://doi.org/10.1080/08956308.2023.2188018

McGee, L. (2006). How to motivate your employees to learn. Strategic HR Review, 5(3), 5. https://doi.org/10.1108/14754390680000869

Murphy, L. (2023). The age of automation: What skills do employees need to stay relevant? Strategic HR Review. https://doi.org/10.1108/shr-05-2023-0030

Oluwatosin, A., Darmawan, D., & Marsal, A. P. (2021). Linkage of Employee Welfare Programs with Workforce Retention in Modern Organizational Management Policies. Journal of Social Science Studies, 1(2), 171–176.

Perino, C. (2023). Automation and AI in the workplace: The future of work is more complex than ever. https://doi.org/10.69554/idqi1157

Putra, A. R., Darmawan, D., & Arifin, S. (2022). Employee experience in the digital workplace: A human resource management perspective. Studi Ilmu Sosial Indonesia, 2(2), 361–384.

Putra, A. R., Mardikaningsih, R., & Darmawan, D. (2021). Organisational social capital and team collaboration as supports for total quality management. Studi Ilmu Sosial Indonesia, 1(1), 129–146.

Rai, M., & Yadav, I. (2022). Redefining employee engagement and its significance. International Journal of Health Sciences (IJHS). https://doi.org/10.53730/ijhs.v6ns1.8043

Ramle, N. L. B., & Mardikaningsih, R. (2022). Inclusivity in technology-based services: Access and skills challenges. Journal of Social Science Studies, 2(2), 225–230.

Rojak, J. A., Darmawan, D., & Khayru, R. K. (2022). Transformational leadership as an agent of social change in organizational value systems. Studi Ilmu Sosial Indonesia, 2(1), 191–212.

Ruíz-Valdés, S. (2023). Trends and challenges in the upskilling and reskilling of the workforce in the 21st century: An analysis of the strategies and results in the acquisition of skills for adaptation to technological and labor change. Revista de Formación de Recursos Humanos, 13–20. https://doi.org/10.35429/jhrt.2023.24.9.13.20

Serrat, O. (2017). Coaching and mentoring. 54, 897–902. https://doi.org/10.1007/978-981-10-0983-9_101

Staaby, A., Hansen, K. S., & Grønli, T.-M. (2021). Automation of routine work: A case study of employees’ experiences of work meaningfulness. 156–165. https://doi.org/10.24251/HICSS.2021.018

Stieglitz, S., Möllmann, N. R. J., Mirbabaie, M., Hofeditz, L., & Roß, B. (2023). Recommendations for managing AI-driven change processes: When expectations meet reality. International Journal of Management Practice, 16(4), 407–433. https://doi.org/10.1504/ijmp.2023.132074

Vaja, J. R., & Bhatt, J. S. (2018). Employee engagement and organizational change: A study on the role of employee engagement in successful change management initiatives. International Journal of Management and Development Studies, 7(3), 52–61. https://doi.org/10.53983/ijmds.v7i3.007

Vakola, M., & Petrou, P. (2018). An overview of the impact of organizational change on individuals and organizations: An introductory note. 1–11. https://doi.org/10.4324/9781315386102-1

Velde, L. A. van der. (2022). Phasing out: Routine tasks and retirement. Journal of Comparative Economics, 50(3), 784–803. https://doi.org/10.1016/j.jce.2022.01.004