شناسایی و اولویت بندی کاربرد فناوری اینترنت اشیا در مدیریت منابع انسانی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت، دانشگاه شهید چمران اهواز، اهواز، ایران

2 دانشیار گروه مدیریت، دانشگاه شهید چمران اهواز، اهواز، ایران

3 کارشناسی ارشد مدیریت بازرگانی، دانشگاه شهید چمران اهواز، اهواز، ایران

10.22080/shrm.2023.4410

چکیده

پژوهش حاضر با هدف شناسایی و اولویت بندی کاربردهای فناوری اینترنت اشیا در مدیریت منابع انسانی انجام شده است. این پژوهش با استفاده از روش آمیخته- اکتشافی در دو بخش کیفی و کمی انجام شد. در بخش کیفی از طریق ابزار مصاحبه نیمه ساختاریافته و تکنیک تحلیل محتوای کیفی، کاربرد های اینترنت اشیاء در مدیریت منابع انسانی از دیدگاه متخصصان و خبرگان صنعت که به روش نمونه گیری هدفمند انتخاب شده بودند، شناسایی و دسته بندی شد.در بخش کمی پژوهش با روش پیمایشی و از طریق ابزار پرسشنامه دیدگاه های 12 نفر از متخصصان صنعت گردآوری و سپس داده ها با استفاده از تکنیک بهترین- بدترین تجزیه و تحلیل و کاربردهای اینترنت اشیاء در مدیریت منابع انسانی اولویت بندی شدند. برای تجزیه و تحلیل داده ها از نرم افزار های Excel، Spss و Lingo استفاده شد. نتایج پژوهش در بخش کیفی چهار کاربرد اینترنت اشیاء در مدیریت منابع انسانی را شناسایی نمود که عبارتند از: فناوری های منابع انسانی، سهولت در فعالیت های منابع انسانی، کمک به بازیگران منابع انسانی و توسعه منابع انسانی . یافته های بخش کمی پژوهش نشان داد که از بین کاربردهای شناسایی شده، معیار توسعه منابع انسانی دارای بیشترین اهمیت نسبی(با وزن 386/0) و معیار کمک به بازیگران منابع انسانی دارای کمترین اهمیت نسبی(با وزن 145/0) از دیدگاه خبرگان صنعت است.

کلیدواژه‌ها

عنوان مقاله [English]

Identification and prioritization of Internet of Things applications in human resource management

نویسندگان [English]

  • farajallah rahimi 1
  • belqis bavarsad 2
  • mahshad karamzadeh 3
1 Department of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2 Associate Professor, Department of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran
3 Master of Business Administration, Shahid Chamran University of Ahvaz, Ahvaz, Iran
چکیده [English]

The present study is descriptive in terms of its exploratory-applicative purpose, in terms of the method of data collection. The statistical population of this research was industry experts in Khuzestan province. samples were selected using the purposeful and accessible sampling method. In order to determine the sample size in the qualitative phase of the research, the theoretical saturation of the data and in the quantitative phase of the research was limited to the most referenced answers. In the qualitative phase of the research, a semi-structured interview method was used to collect data. The data of the qualitative phase of the research were analyzed with the help of qualitative content analysis technique. In the quantitative phase of the research, the data collection tool was a researcher-made questionnaire. Data from the quantitative section were analyzed using the best-worst method. We have also used Excel, Spss and Lingo software for data analysis. The findings of the qualitative phase of the research included 4 basic applications for the Internet of Things in the human resource management sector. These applications include: human resource technologies, ease of human resource activities, assistance to human resource actors and human resource development. The findings of the quantitative phase of the research showed that among the identified applications, the criterion of human resources development has the highest relative importance (with a weight of 0.386) and the criterion of ease in human resources activities has the lowest relative importance (with a weight of 0.145) from the point of view Industry experts.

کلیدواژه‌ها [English]

  • best-worst method
  • qualitative content analysis
  • Internet of Things
  • human resource management

مراجع

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, February). Internet of Things, high resolution management and new business models. In 2018 23rd International Scientific-Professional Conference on Information Technology (IT) (pp. 1-4). IEEE.
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Computer Communications, 54, 1-31.
Chand, S., & Davis, J. (2010). What is smart manufacturing. Time Magazine Wrapper, 7, 28-33.
Charmonman, S., Mongkhonvanit, P., Dieu, V. N., & Linden, N. (2015). Applications of internet of things in e-learning. International Journal of the Computer, the Internet and Management, 23(3), 1-4.
Chui, M., Loffler, M., & Roberts, R. (2010). The internet of things. McKinsey Global Institute.
Fleisch, E. (2010). What is the internet of things? An economic perspective. Economics, Management, and financial markets, 5(2), 125-157.
Glaser, B. G., & Strauss, A. (1967). The discovery of grounded theory: Strategies for qualitative research. Chicago: Aldine Publishing.
Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N., & Razafindralambo, T. (2011). A survey on facilities for experimental internet of things research. IEEE Communications Magazine, 49(11), 58-67.
Guo, B., Zhang, D., Wang, Z., Yu, Z., & Zhou, X. (2013). Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things. Journal of Network and Computer Applications, 36(6), 1531-1539..
Habraken, M., & Bondarouk, T. (2017). Smart industry research in the field of HRM: Resetting job design as an example of upcoming challenges. In T. Bondarouk, H. J. M. Ruël, & E. Parry (Eds.), Electronic HRM in the smart era (pp. 221–259). Bingley: Emerald Publishing.
Khastar, H. (2008). Presenting a method for calculating the reliability of the coding stage in research interviews, Scientific-Research Quarterly of Human Sciences Methodology, 58, 174-161. (In Persian)
Kocielnik, R., Sidorova, N., Maggi, F. M., Ouwerkerk, M., & Westerink, J. H. (2013). Smart technologies for long-term stress monitoring at work. In proceedings of the 26th IEEE international symposium on computer-based medical systems (pp. 53-58). IEEE.
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6, 1-10.
Mattern, F., Floerkemeier, C. (2010). From the Internet of computers to the Internet of Things. In K. Sachs, I. Petrov, & P. Guerrero (Eds.), From active data management to event-based systems and more (pp. 242–259). vol 6462. Springer, Berlin, Heidelberg.
Mehta, R., Sahni, J., & Khanna, K. (2018). Internet of things: Vision, applications and challenges. Procedia computer science, 132, 1263-1269.
Meyer, A. D., Tsui, A. S., & Hinings, C. R. (1993). Configurational approaches to organizational analysis. Academy of Management Journal, 36(6), 1175–1195.
Mirmohamedian, S. M., Berehlia, S., Babamahmoudi, R. & Akhondi, Z. (2016). A Review of Challenges and Solutions to Preventing IOT Challenges, National Conference on New Researches in Science and Technology, 10. (In Persian)
Mohammadi, M., & Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega, 96. https://doi.org/10.1016/j.omega.2019.06.001(In Persian)
Mohanty, S., & Mishra, P. C. (2020). Framework for understanding Internet of Things in human resource management. Revista Espacios, 41(12).
Nihan, C. E. (2013). Healthier? More efficient? Fairer? An overview of the main ethical issues raised by the use of ubicomp in the workplace. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2(1), 29-40.
Onik, M. M. H., Miraz, M. H., & Kim, C. S. (2018). A recruitment and human resource management technique using blockchain technology for industry 4.0. In ​ Smart Cities Symposium 2018 (pp. 1-6). IET.
Pantano, E., & Timmermans, H. (2014). What is smart for retailing? Procedia Environmental Sciences, 22, 101-107.
Rahimniya, F., & Maleki Nejad Kardani, M. (2018). investigation of the emergence of new technologies (cloud computing, Internet of Things and gamification) in the progress of human resources management of organizations. the second national conference on management and engineering. (In Persian)
Resch, A., & Blecker, T. (2012). Smart logistics–a literature review. Pioneering Supply Chain Design, 10, 91-102.
Rose, K., Eldridge, S., & Chapin, L. (2015). The internet of things: An overview. The internet society (ISOC), 80, 1-50.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57. (In Persian)
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130. (In Persian)
Santos, C., Mehrsai, A., Barros, A. C., Araújo, M., & Ares, E. (2017). Towards Industry 4.0: an overview of European strategic roadmaps. Procedia manufacturing, 13, 972-979.
Sarmad, Z, Bazargan, A and Hejazi, E. (2017). Research methods in behavioral sciences, 31st edition, Age publishing house.
Schowab, K. (2016). The fourth Industrial Revolution, Quality Management Journal, 25(2), pp. 108–109.
Solanas, A., Patsakis, C., Conti, M., Vlachos, I. S., Ramos, V., Falcone, F., ... & Martinez-Balleste, A. (2014). Smart health: A context-aware health paradigm within smart cities. IEEE Communications Magazine, 52(8), 74-81.
Spath, D., Gerlach, S., Hämmerle, M., Schlund, S., & Strölin, T. (2013). Cyber-physical system for self-organised and flexible labour utilisation. Personnel, 50(22).
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.
Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human resource management review, 17(1), 19-37.
Swan, M. (2012). Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator networks, 1(3), 217-253.
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.
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia manufacturing, 20, 233-238.
Vermesan, O., Friess, P., Guillemin, P., Sundmaeker, H., Eisenhauer, M., … Cousin, P. (2013). Internet of Things strategic research and innovation agenda. In O. Vermesan & P. Friess (Eds.), Internet of things– Converging Technologies for Smart environments and integrated ecosystems (pp. 7–151). Aalborg: River Publisher.
Waber, B. (2013). People analytics: How social sensing technology will transform business and what it tells us about the future of work. FT Press.

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