Identifying and Prioritizing the Results of the Effective Implementation of the Internet of Things in Human Resources Processes

Document Type : Research Article

Authors

1 Department of Management, Malayer Branch, Islamic Azad University, Malayer, Iran

2 Department of Mathematics and Physics, Malayer Branch, Islamic Azad University, Malayer, Iran

3 Department of Public Administration, Lorestan University, Khorramabad, Iran

4 Department of Business Administration, Lorestan University, Khorramabad, Iran

10.22059/jomc.2024.378128.1008675

Abstract

The Internet of Things constitutes a global digital neural network of various devices and sensors, which can connect various devices to each other or to people. Therefore, the current research was conducted with the aim of identifying and prioritizing the results of the effective implementation of Internet of Things in human resources processes. This research is applied in terms of purpose; in terms of data collection method, it is both survey and exploratory, and it follows a comparative and inductive research philosophy. The statistical population of the research consists of experts, including senior managers and managers in the field of technology and information of government organizations in Lorestan province, whose sample members were selected using the purposeful sampling method and based on the principle of theoretical saturation. The data collection tool for the qualitative part is interview while the quantitative part uses questionnaire. The validity and reliability of the tools were analyzed using content validity and intra-coder inter-coder reliability for the interview, and content validity and retest reliability for the questionnaire, respectively. In this research, the content analysis and coding method was used in the qualitative part, and the fuzzy cognitive map method was employed in the quantitative part for data analysis. In this research, the findings of the qualitative part include identifying the types of Internet of Things, while the findings of the quantitative part relate to the prioritization of these factors. Therefore, the most important consequence of the Internet of Things is the intelligentization and automation of employee performance control, helping the growth and development of the individuals and promoting openness to change.

Keywords

Main Subjects

References

Abdoussmad, Z., Tweneboah Agyei, I., Sipahi Dongul, E., Addusamad, J., Raj, R., & Effendy, F. (2022). Impact of Internat of Things (IOT) on Human Resource Managment: A review. Materials Today: proceedings. Journal homepage. www. elsevier. com / locate/ matpr, 2-10.
Askari, P., Rahmani, A. M., & Seyyed-Javadi, H.H. (2018). Internet of Things applications: A Systematic Review. Computer Networks. journal homepage, 148 .241–261.
Barman, A. & Das, K. (2018). Internet of Things (IoT) as the Future Smart Solution to HRM-How would wearable IoT bring organisational efficiency. In International Conference Dec.
Bauk, S., Dlabač, T., & Škurić, M. (2018). Internet of Things, high resolution management and new business models. In 2018 23rd International Scientific-Professional Conference on Information Technology (IT) ,1-4. IEEE.
Charmonman, S., Mongkhonvanit, P., Dieu, V. N., & Linden, N. (2019). Applications of internet of things in elearning. International Journal of the Computer, the Internet and Management, 23(3), 1-4.
Karimi, H., Jamshidi, M. J., & Bakhsham, M. (2021). Identifying and analyzing the applications of the Internet of Things in the fight against and control of epidemic diseases (case study: Corridus 19 disease). Scientific research quarterly of smart business management studies, Vol. 10, No. 39, 197-233. (in Persian)
Khajeh, F. & Shahbandarzadeh, H. (2017). Presentation of a Model based on Fuzzy Cognitive Map for Analyzing the Factors Affecting the Customer Satisfaction of the Container Terminal (Case Study: Bushehr Province Department of Ports and Mnitime organization). Journal of Executive Management, Vol, 10 & 19, 148-169. (in Persian)
Kremer, K. (2022). HR practices in the context of the Internet of Things. Strategic Managment,Vol(27), No. 1, 34-042.
Lee, I. & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431-440.
Liu, R. & Wang, J. F. (2017). Internet of Things: Application and Prospect, MATEC Web of Conferences 100, 02034, 2-7.
Mira, M. S. (2021). Connecting the dots: Internet of things and human resource management. Journal of managment info, 8(3), 207-219.
Mohanty, S. & Mishra, P. C. (2020). Framework for understanding Internet of Things in human resource management. Revista Espacios, 41(12), 222-225.
Mohammadi, M.J (2023). The use of Internet of Things in human resource management. Journal New Researches in the Smart City, Vol. 1, (Issue 3), 6-12. (in Persian)
Rahimi, F., Bavarsad, B., & Karamzadeh, M. (2023). Identification and Prioritization of Internet of Things applications in Human Resource Management. Journal of Sustainable Human Resource Management, Vol. 5, Issue 9, 151-170. (in Persian)
Sarmad, Z., Bazargan, A., & Hejazi, E. (2020). Research methods in behavioral sciences. 31st edition. Age publishing house.
Strohmeier, S. (2020). Smart HRM–a Delphi study on the application and consequences of the Internet of Things in Human Resource Management. The International Journal of Human Resource Management, 31(18), 2289-2318.
Venkatesh, N. (2017). Connecting the Dots: Internet of Things and Human Resource Management. American International Journal of Research in Humanities, Arts and Social Sciences, 21-24.
Yawson, R. M., Woldeab, D., & Osafo, E. (2018). Human Resource Development and the Internet of thing. Proceedings of the 25th Annual Academy of Human Resource Development International Research Conference in the Americas. Richmond VA, USA. 1-25
Yousefi, D., Ali-Pirannejad, A., & Jamipour, M. (2023). Investigating the Susceptibility of Human Resource Management to the Internet of Things. Journal of Public Administration, Vol. 15, No. 2, 344-363. (in Persian)
 
Organizational Culture Management
Volume 23, Issue 1
April 2025
Pages 65-80

Files

Share

How to cite

Statistics