
تعداد نشریات | 34 |
تعداد شمارهها | 1,332 |
تعداد مقالات | 9,618 |
تعداد مشاهده مقاله | 9,809,277 |
تعداد دریافت فایل اصل مقاله | 6,015,597 |
طراحی الگوی مدیریت منابع انسانی دیجیتال: یک رویکرد سیستماتیک | ||
پژوهشهای مدیریت منابع انسانی | ||
دوره 17، شماره 2 - شماره پیاپی 60، شهریور 1404، صفحه 115-141 اصل مقاله (850.17 K) | ||
نوع مقاله: مقاله پژوهشی | ||
نویسندگان | ||
الهه حسینی* 1؛ سجاد جعفری2؛ هدیه سادات خدایی3 | ||
1مدیریت بازرگانی دانشگاه یزد | ||
2کارشناسی ارشد منابع انسانی | ||
3کارشناسی ارشد تجارت الکترونیک | ||
تاریخ دریافت: 06 خرداد 1403، تاریخ بازنگری: 02 اسفند 1403، تاریخ پذیرش: 02 مهر 1404 | ||
چکیده | ||
مدیریت منابع انسانی دیجیتال به معنای تحول دیجیتالی در شیوهها و فرآیندهای منابع انسانی از طریق استفاده از رسانههای الکترونیکی، تجزیهوتحلیل دادهها و فناوری اطلاعات به منظور افزایش کارایی مدیریت منابع انسانی است. هدف این پژوهش ارائه الگویی برای مدیریت منابع انسانی دیجیتال میباشد. این پژوهش با رویکرد سیستماتیک و مروری بر مقالات منتشرشده بین سالهای 2018 تا 2023 طراحی و تدوین شده است. پژوهش حاضر به روش توصیفی و با رویکرد کیفی انجام شده است. مقالات استخراجشده به طور نظاممند مورد تجزیهوتحلیل قرار گرفتند. در نهایت، نتایج پژوهش منجر به طراحی الگویی برای مدیریت منابع انسانی دیجیتال با توجه به الزامات تحول دیجیتال در قالب 6 تم اصلی، 33 تم فرعی و 109 کد انتخابی توصیفی بدون تکرار نمایان شده است. نتایج این پژوهش میتواند به سازمانها در پیادهسازی مؤثر مدیریت منابع انسانی دیجیتال کمک کند و در نتیجه بهبود عملکرد سازمانها را تسهیل نماید. علاوه بر این، یافتهها میتوانند مبنایی برای درک تأثیر مدیریت منابع انسانی دیجیتال بر عملکرد سازمانی فراهم آورند و به محققان در این زمینه کمک کنند. | ||
کلیدواژهها | ||
تعادل در کار و زندگی؛ تجربه مشتری؛ مدیریت منابع انسانی؛ تحول دیجیتال؛ تحلیل سیستماتیک | ||
عنوان مقاله [English] | ||
Designing a digital human resource management model: a systematic approach | ||
نویسندگان [English] | ||
Elahe Hosseini1؛ Sajad Jafari2؛ Hedieh Khodaee3 | ||
1Yazd University | ||
2Master of Human Resources | ||
3Master of Electronic Commerce | ||
چکیده [English] | ||
Digital human resource management means digital transformation in human resource practices and processes through the use of electronic media, data analysis, and information technology to increase the efficiency of human resource management. The purpose of this study is to provide a model for digital human resource management. This study was designed and developed with a systematic approach and a review of articles published between 2018 and 2023. The present study was conducted using a descriptive method and a qualitative approach. The extracted articles were systematically analyzed. Finally, the results of the study led to the design of a model for digital human resource management according to the requirements of digital transformation in the form of 6 main themes, 33 sub-themes, and 109 descriptive selected codes without repetition. The results of this study can help organizations in the effective implementation of digital human resource management and, as a result, facilitate the improvement of organizational performance. Furthermore, the findings can provide a basis for understanding the impact of digital human resource management on organizational performance and help researchers in this field. | ||
کلیدواژهها [English] | ||
work-life balance, customer experience, human resource management, digital transformation, Systematic analysis | ||
مراجع | ||
بودلایی، حسن، کشاورز نیک، بهروز و محمدی مقدم، یوسف. (1397). مطالعه کیفی ردپای دیجیتال در مدیریت منابع انسانی. پژوهشهای مدیریت منابع انسانی. 10(1)، 211-232. https://dor.isc.ac/dor/20.1001.1.82548002.1397.10.1.9.2
رحمتی کرهرودی، سارا، شمس مورکانی، غلامرضا، شامی زنجانی، مهدی و ابولقاسمی، محمود. (1400). ارائه چارچوبی برای تبیین شایستگی های رهبران دیجیتال با روش فراترکیب. پژوهشهای مدیریت منابع انسانی. 13(1)، 9-42. https://dor.isc.ac/dor/20.1001.1.82548002.1400.13.1.1.5
Arabiun, A., Hosseini, E., Azad, M., & Ferreira, J. J. (2025). The Impacts of Business Agility, the Digitalization of Business Processes, and Entrepreneurial Orientation on Internationalization: The Mediating Role of Social Media. Journal of the Knowledge Economy, 1-35. https://doi.org/10.1007/s13132-024-02393-y
Berthelsen, C. B. & Frederiksen, K. (2018). A comprehensive example of how to conduct a literature review following Glaser’s grounded theory methodological approach. International Journal of Health Sciences, 6(1), 90-99. https://doi.org/10.15640/ijhs.v6n1a10
Boudlaie, H. Keshavarz Nik, B. & Mohammadi Moghadam, Y. (2018). A Qualitative Study of Digital Footprints in Human Resource Management. Journal of Research in Human Resources Management, 10(1), 211-232. (in Persian)
Bredin, K. & Söderlund, J. (2011). Human resource management in project-based organizations: The HR quadriad framework. Springer.
Chae, H. C. Koh, C. E. & Park, K. O. (2018). Information technology capability and firm performance: Role of industry. Information & Management, 55(5), 525-546. https://doi.org/10.1016/j.im.2017.10.001
Cutolo, D. & Kenney, M. (2021). Platform-dependent entrepreneurs: Power asymmetries, risks, and strategies in the platform economy. Academy of management perspectives, 35(4), 584-605. https://doi.org/10.5465/amp.2019.0103
DeLone, W. Migliorati, D. & Vaia, G. (2018). Digital IT governance. CIOs and the digital transformation: A new leadership role, 205-230. https://doi.org/10.1007/978-3-319-31026-8_11
Djuraeva, L. (2021). Importance of the Innovative Business Models for the Future Success of the Company. In SHS Web of Conferences (Vol. 100, p. 01013). EDP Sciences. https://doi.org/10.1051/shsconf/202110001013.
Fenech, R. Baguant, P. & Ivanov, D. (2019). The changing role of human resource management in an era of digital transformation. International Journal of Entrepreneurship, 22(2), 166-175.
Ghasemaghaei, M. & Turel, O. (2021). Possible negative effects of big data on decision quality in firms: The role of knowledge hiding behaviours. Information Systems Journal, 31(2), 268-293. https://doi.org/10.1111/isj.12310
Guha, S. & Kumar, S. (2018). Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap. Production and Operations Management, 27(9), 1724-1735. https://doi.org/10.1111/poms.12833
Gunasekaran, A. Papadopoulos, T. Dubey, R. Wamba, S. F. Childe, S. J. Hazen, B. & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317. https://doi.org/10.1016/j.jbusres.2016.08.004
Gunasekaran, A. Yusuf, Y. Y. Adeleye, E. O. & Papadopoulos, T. (2018). Agile manufacturing practices: the role of big data and business analytics with multiple case studies. International Journal of Production Research, 56(1-2), 385-397. https://doi.org/10.1080/00207543.2017.1395488
Gupta, S. Chen, H. Hazen, B. T. Kaur, S. & Gonzalez, E. D. S. (2019). Circular economy and big data analytics: A stakeholder perspective. Technological Forecasting and Social Change, 144, 466-474. https://doi.org/10.1016/j.techfore.2018.06.030
Halid, H. Yusoff, Y. M. & Somu, H. (2020, May). The relationship between digital human resource management and organizational performance. In First ASEAN Business, Environment, and Technology Symposium (ABEATS 2019) (pp. 96-99). Atlantis Press.
Hammersley, M. (2020). Reflections on the methodological approach of systematic reviews. Systematic reviews in educational research: Methodology, perspectives and application, 23-39. https://doi.org/10.1007/978-3-658-27602-7_2
Hosseini, E., Salamzadeh, A., & Rahman, M. M. (2025). Exploring the Role of Social Capital, Digital Transformation, and Entrepreneurial Orientation in the Sustainable Development of Creative Industries. In Insights Into Digital Business, Human Resource Management, and Competitiveness (pp. 103-126). IGI Global Scientific Publishing. . https://doi.org/10.4018/979-8-3693-9440-3.ch004
Kamble, S. S. Gunasekaran, A. & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179-194. https://doi.org/10.1016/j.ijpe.2019.05.022
Ketolainen, N. (2018). Digitalization of human resources–The transformation journey into automated and data-driven service organization.
Khatri, S. Pandey, D. K. Penkar, D. & Ramani, J. (2020). Impact of artificial intelligence on human resources. In Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019, Volume 2 (pp. 365-376). Springer Singapore. https://doi.org/10.1007/978-981-13-9364-8_26
Kim, J. Y. & Lee, M. J. (2016). Living with casinos: The triple-helix approach, innovative solutions, and big data. Technological Forecasting and Social Change, 110, 33-41. https://doi.org/10.1016/j.techfore.2016.04.024
Kokovikhin, A. (2017). Diversity management competencies of HR managers. In Proceedings of the International Conference on Economics, Management Engineering and Marketing (EMEM) (pp. 256-263).
Kotarba, M. (2018). Digital transformation of business models. Foundations of management, 10(1), 123-142.
Kraus, S. Breier, M. Lim, W. M. Dabić, M. Kumar, S. Kanbach, D. ... & Ferreira, J. J. (2022). Literature reviews as independent studies: guidelines for academic practice. Review of Managerial Science, 16(8), 2577-2595. https://doi.org/10.1007/s11846-022-00588-8
Kristoffersen, E. Blomsma, F. Mikalef, P. & Li, J. (2020). The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies. Journal of business research, 120, 241-261. https://doi.org/10.1016/j.jbusres.2020.07.044
Kuo, Y. H. & Kusiak, A. (2019). From data to big data in production research: the past and future trends. International Journal of Production Research, 57(15-16), 4828-4853. https://doi.org/10.1080/00207543.2018.1443230
LaValle, S. Lesser, E. Shockley, R. Hopkins, M. S. & Kruschwitz, N. (2010). Big data, analytics and the path from insights to value. MIT sloan management review.
Mia, M. H. & Faisal, F. (2020). Digital Human Resource Management: Prospects & Challenges for Garments Industries in Bangladesh. European Journal of Business and Management, 12(7), 18-25.
Micu, A. Capatina, A. Micu, A. E. & Schin, G. (2017). Exploring e-HCM Systems' Benefits in Organizations from Private Sector and Public Administration. Journal of Promotion Management, 23(3), 407-418. https://doi.org/10.1080/10496491.2017.1294885
Mosca, M. (2020). Digitalization of HRM: A study of success factors and consequences in the last decade (Master's thesis, University of Twente). https://essay.utwente.nl/82872/
Nguyen, T. M. & Malik, A. (2022). Impact of knowledge sharing on employees' service quality: the moderating role of artificial intelligence. International Marketing Review, 39(3), 482-508.
Opatha, H. H. D. N. P. (2020). The coronavirus and the employees: A study from the point of human resource management. Sri Lankan Journal of Human Resource Management, 10(1).
Parviainen, P. Tihinen, M. Kääriäinen, J. & Teppola, S. (2017). Tackling the digitalization challenge: how to benefit from digitalization in practice. International journal of information systems and project management, 5(1), 63-77. https://doi.org/10.12821/ijispm050104
Rahmati Kohroodi, S. Shams Moorkani, G. R. Shami Zanjani, M. & Abolghasemi, M. (2021). Presenting a Framework for Explaining the Competencies of Digital Leaders through Meta-Synthesis Method. Journal of Research in Human Resources Management, 13(1), 9-42. (In Persian).
Rodgers, W. & Nguyen, T. (2022). Advertising benefits from ethical artificial intelligence algorithmic purchase decision pathways. Journal of business ethics, 178(4), 1043-1061. https:// doi.org/10.1007/s10551-022-05048-7.
Rodgers, W. Simon, J. & Gabrielsson, J. (2017). Combining experiential and conceptual learning in accounting education: A review with implications. Management Learning, 48(2), 187-205. https://doi.org/10.1177/1350507616669479
Romero, M. C. Lara, P. & Villalobos, J. (2021). Evolution of the business model: Arriving at open business model dynamics. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 86. https://doi.org/10.3390/joitmc7010086
Saini, S. (2018). Digital HRM and its effective implementation: an empirical study. International Journal of Management Studies, 2(7), 62-66.
Selbst, A. D. Boyd, D. Friedler, S. A. Venkatasubramanian, S. & Vertesi, J. (2019, January). Fairness and abstraction in sociotechnical systems. In Proceedings of the conference on fairness, accountability, and transparency (pp. 59-68).
Shahi, K. & Neloy, H. (2020). Global transition of HR practices in covid-19 pandemic situation: a systematic review through 5P's model of HRM. Management and Human Resource Research Journal, 9(6), 50-57.
Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management, 34(3), 345-365. https://doi.org/10.1177/2397002220921131
Strohmeier, S. & Kabst, R. (2009). Organizational adoption of e‐HRM in Europe: An empirical exploration of major adoption factors. Journal of Managerial Psychology, 24(6), 482-501. https://doi.org/10.1108/02683940910974099
Tsou, H. T. & Chen, J. S. (2023). How does digital technology usage benefit firm performance? Digital transformation strategy and organisational innovation as mediators. Technology Analysis & Strategic Management, 35(9), 1114-1127. https://doi.org/10.1080/09537325.2021.1991575
Tumbas, S. Berente, N. & Brocke, J. V. (2018). Digital innovation and institutional entrepreneurship: Chief Digital Officer perspectives of their emerging role. Journal of Information Technology, 33(3), 188-202. https://doi.org/10.1057/s41265-018-0055-0
Yakubovich, V. (2019, June). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. In 31st Annual Meeting. SASE. | ||
آمار تعداد مشاهده مقاله: 5 تعداد دریافت فایل اصل مقاله: 1 |