تحلیل چالش‌ها و فرصت‌های دورکاری در متاورس: رویکردهای سیستمی و تصمیم‌گیری چندمعیاره
الموضوعات :
مریم پرندوارفومنی
1
,
رضا رادفر
2
,
عباس طلوعی اشلقی
3
1 - دانشجوی دکتری مدیریت صنعتی، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 - استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
3 - استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
الکلمات المفتاحية: متاورس, دورکاری, ادراک انتقادی سیستم, تحقیق در عملیات انتقادی, تصمیم گیری چندمعیاره.,
ملخص المقالة :
با گسترش فناوری‌ها و تحولات دیجیتال، متاورس به عنوان بستری نوین برای دورکاری مطرح شده است. با این حال، چالش‌هایی مانند عدم شمولیت، کنترل متمرکز منابع، نگرانی‌های محیط‌زیستی و عدم دسترسی به فناوری‌های پیشرفته، موانعی برای استفاده گسترده از این مدل کاری هستند. این پژوهش به بررسی مدل‌های دورکاری مبتنی بر پلتفرم متاورس پرداخته و چالش‌ها، فرصت‌ها و راهکارهای اجرایی در این حوزه را تحلیل می‌کند. در این تحقیق، از روش ادراک انتقادی سیستم (CSH) و تحلیل سلسله مراتبی فازی (AHP) برای تحلیل سیستماتیک مسائل مرتبط با توسعه و اجرای پلتفرم‌های کاری متاورسی استفاده شده است. روش ادراک انتقادی سیستم به شناسایی و ارزیابی فرضیات، ارزش‌ها و عدم توازن‌های قدرت در طراحی سیستم کمک می‌کند، در حالی که تحلیل سلسله مراتبی فازی امکان تصمیم‌گیری چند معیاره بر اساس دیدگاه‌های مختلف ذی‌نفعان را فراهم می‌سازد. نتایج این تحقیق نشان می‌دهد که با طراحی مدل‌های فراگیر، همکاری بین رشته‌ای و اتخاذ رویکردهای پایدار، می‌توان بسیاری از چالش‌های موجود را حل کرده و بستر متاورسی موفق و کارآمدی برای دورکاری ایجاد کرد. نوآوری اصلی این پژوهش شامل ارائه رویکردی یکپارچه برای تحلیل و مدیریت چالش‌های متاورس، ترکیب روش‌های روش ادراک انتقادی سیستم (CSH) و تحلیل سلسله مراتبی فازی (AHP) و ارائه راهکارهایی برای استفاده بهینه از این فناوری در حوزه دورکاری است. این تحقیق به درک بهتر از چگونگی مواجهه با موانع متاورس کمک کرده و مبنایی برای تصمیم‌گیری‌های آتی در این حوزه فراهم می‌کند.
References [In English) Atak, M. C., & Özkoç, E. E. (2023). The Impact of Metaverse on Work Life: A Delphi Study. Journal of Metaverse, 3(2), 144-151. https://doi.org/10.57019/jmv.1297129
Azar, A., Khosrawani, F., & Jalali, R. (2016). Soft Operations Research (Problem Structuring Methods) (Vol. 0): Industrial Management Institute Publications. https://doi.org/10.1007/1-4020-0611-x_806
Ball, M. (2022). The metaverse: and how it will revolutionize everything. Liveright Publishing. http://dx.doi.org/10.33115/udg_bib/cp.v11i23.22854
Bennett, D. (2022). Remote workforce, virtual team tasks, and employee engagement tools in a real-time interoperable decentralized metaverse. Psychosociological Issues in Human Resource Management, 10(1), 78-91. https://doi.org/10.22381/pihrm10120226
Carter, D. (2022). Immersive employee experiences in the metaverse: virtual work environments, augmented analytics tools, and sensory and tracking technologies. Psychosociological Issues in Human Resource Management, 10(1), 35-49. https://doi.org/10.22381/pihrm10120223
Chen, Z. (2024). Metaverse office: Exploring future teleworking model. Kybernetes, 53(6), 2029-2045. https://doi.org/10.1108/k-10-2022-1432
Choi, H. Y. (2022). Working in the metaverse: Does telework in a metaverse office have the potential to reduce population pressure in megacities? Evidence from young adults in Seoul, South Korea. Sustainability, 14(6), 3629. https://doi.org/10.3390/su14063629
Choi, H.-Y. (2022). Working in the Metaverse: Does telework in a Metaverse office have the potential to reduce population pressure in megacities? Evidence from young adults in Seoul, South Korea. Sustainability, 14(6), 3629. https://doi.org/10.3390/su14063629
Durana, P., Krulicky, T., & Taylor, E. (2022). Working in the metaverse: virtual recruitment, cognitive analytics management, and immersive visualization systems. Psychosociological Issues in Human Resource Management, 10(1), 135-148. https://doi.org/10.22381/pihrm101202210
Flood, R. L., & Jackson, M. C. (1991 a). Critical systems heuristics: application of an emancipatory approach for Police strategy toward the carrying of offensive weapons. Systemic Practice and Action Research, 4(4), 283-302. https://doi.org/10.1007/bf01062006
Flood, R. L., & Jackson, M. C. (1991 b). Total systems intervention: a practical face to critical systems thinking. Systemic Practice and Action Research, 4(3), 197-213. https://doi.org/10.1007/bf01059565
Foukolaei, P. Z., Asari, F. A., Khazaei, M., Gholian-Jouybari, F., & Hajiaghaei-Keshteli, M. (2024). From responsible sourcing of wastes to sustainable energy consumption in the blue hydrogen supply chain: Case of nearshoring in Nuevo Leon. International Journal of Hydrogen Energy, 77, 1387-1400. https://doi.org/10.1016/j.ijhydene.2024.06.079 George, A. H., Fernando, M., George, A. S., Baskar, T., & Pandey, D. (2021). Metaverse: The next stage of human culture and the internet. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), 8(12), 1-10. https://doi.org/10.48175/ijarsct-1888
Hancock, K. (2022). Virtual Team Performance, Collaborative Remote Work, and Employee Engagement and Multimodal Behavioral Analytics in the Metaverse Economy. Psychosociological Issues in Human Resource Management, 10(2), 55-70. https://doi.org/10.22381/pihrm10220224
Karlsson, L., & Shamoun, M. (2022). Virtual Realities for Remote Working: Exploring employee's attitudes toward the use of Metaverse for remote working. https://doi.org/10.4324/9781003247050-5
Khazaei, M., Hajiaghaei-Keshteli, M., Rajabzadeh Ghatari, A., Ramezani, M., Fooladvand, A., & Azar, A. (2023). A multi-criteria supplier evaluation and selection model without reducing the level of optimality. Soft Computing, 27(22), 17175-17188. https://doi.org/10.1007/s00500-023-08954-8
Khazaei, M., Ramezani, M., Padash, A., & DeTombe, D. (2021). Creating shared value to redesigning IT-service products using SYRCS; Diagnosing and tackling complex problems. Information Systems and e-Business Management, 19(3), 957-992. https://doi.org/10.1007/s10257-021-00525-4
Khazaei, M., Ramezani, M., Padash, A., & DeTombe, D. (2021, June). The quantification role of BWM in problem structuring methods: SYRCS methodology. In the international workshop on best-worst method (pp. 252-271). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89795-6_18
Kral, P., Janoskova, K., & Dawson, A. (2022). Virtual skill acquisition, remote working tools, and employee engagement and retention on blockchain-based metaverse platforms. Psychosociological Issues in Human Resource Management, 10(1), 92-105. https://doi.org/10.22381/pihrm10120227
Lau, K. W. (2022). Rethinking the Knowledge Transfer Process Through the Use of Metaverse: A Qualitative Study of Organizational Learning Approach for Remote Workplace. PRESENCE: Virtual and Augmented Reality, 31, 229-244. https://doi.org/10.1162/pres_a_00395
Lee, L.-H., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., ... & Hui, P. (2021). All one needs to know about Metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv. https://doi.org/10.1109/icdcsw56584.2022.00053
Longgang, G., Zihan, Y., & Kunyu, L. (2024). The Intention of Employee’s Relocation from Urban to Rural Area in China: The Practices of Telework within Metaverse Implementation. Journal of Digitainability, Realism & Mastery (DREAM), 3(03), 27-37. https://doi.org/10.56982/dream.v3i03.219
Lyons, N. (2022). Talent acquisition and management, immersive work environments, and machine vision algorithms in the virtual economy of the metaverse. Psychosociological Issues in Human Resource Management, 10(1), 121-134. https://doi.org/10.22381/pihrm10120229
Mahindru, R., Bapat, G., Bhoyar, P., Abishek, G. D., Kumar, A., & Vaz, S. (2024). Redefining Workspaces: Young Entrepreneurs Thriving in the Metaverse’s Remote Realm. Engineering Proceedings, 59(1), 209. https://doi.org/10.3390/engproc2023059209
Michalikova, K. F., Suler, P., & Robinson, R. (2022). Virtual hiring and training processes in the metaverse: remote work apps, sensory algorithmic devices, and decision intelligence and modeling. Psychosociological Issues in Human Resource Management, 10(1), 50-63. https://doi.org/10.22381/pihrm10120224
Mirhosseini, S. S., Ramezani, M., Khazaei, M., & Azar, A. (2021). Exploring and analysing the risks and challenges of implementing ERP systems: critical system thinking. International Journal of Information Systems and Change Management, 12(3), 234-258. https://doi.org/10.1504/ijiscm.2021.120325
Morley, N. (2022). Employee Engagement Data and Performance Parameters, Algorithmic Tracking and Remote Workplace Technologies, and Interoperable Virtual Networks in the Decentralized and Interconnected Metaverse. Psychosociological Issues in Human Resource Management, 10(2), 135-150. https://doi.org/10.22381/pihrm10220229
Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497. https://doi.org/10.3390/encyclopedia2010031
Nayeri, M. D., Khazaei, M., & Abdolahbeigi, D. (2022). The drivers of success in new-service development: Rough set theory approach. International Journal of Services and Operations Management, 43(4), 421-439. https://doi.org/10.1504/ijsom.2022.127465
Park, H., Ahn, D., & Lee, J. (2022). Towards a Metaverse workspace: Opportunities, challenges, and design implications. In Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-13. https://doi.org/10.1145/3491102.3517558
Park, H., Ahn, D., & Lee, J. (2023, April). Towards a metaverse workspace: opportunities, challenges, and design implications. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20). https://doi.org/10.1145/3544548.3581306
Park, H., Ahn, D., & Lee, J. (2024, May). Lessons From Working in the Metaverse: Challenges, Choices, and Implications from a Case Study. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-16). https://doi.org/10.1145/3613904.3641972
Popescu, G. H., Ciurlău, C. F., Stan, C. I., Băcănoiu, C., & Tănase, A. (2022). Virtual workplaces in the metaverse: immersive remote collaboration tools, behavioral predictive analytics, and extended reality technologies. Psychosociological Issues in Human Resource Management, 10(1), 21-34. https://doi.org/10.22381/pihrm10120222
Ramezani, M., Azar, A., & Khazaei, M. (2021, June). Gap analysis through a hybrid method: Critical systems heuristics and best worst method. In the international workshop on best-worst method (pp. 272-286). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89795-6_19
Renugadevi, R., Kalaivani, C. T., Arul Edwin Raj, A., & Gracewell, J. Dynamic edge clustering and task scheduling for edge assisted metaverse system in the field of remote work and collaboration. Concurrency and Computation: Practice and Experience, e8139. https://doi.org/10.1002/cpe.8139
Rosenhead, J. (2006). Past, present and future of problem structuring methods. Journal of the Operational Research Society, 57(7), 759-765. https://doi.org/10.1057/palgrave.jors.2602206
Šímová, T., Zychová, K., & Fejfarová, M. (2024). Metaverse in the virtual workplace. Vision, 28(1), 19-34. https://doi.org/10.1177/09722629231168690
Taghipour, A., Fooladvand, A., Khazaei, M., & Ramezani, M. (2023). Criteria clustering and supplier segmentation based on sustainable shared value using BWM and PROMETHEE. Sustainability, 15(11), 8670. https://doi.org/10.3390/su15118670
Taghipour, A., Sohrabi, A., Ghaedi, M., & Khazaei, M. (2023). A robust vaccine supply chain model in pandemics: Case of Covid-19 in Iran. Computers & Industrial Engineering, 183, 109465. https://doi.org/10.1016/j.cie.2023.109465
Ulrich, W. (1998). Systems thinking as if people mattered: critical systems thinking for citizens and managers: University of Lincolnshire and Humberside, Lincoln School of Management. https://doi.org/10.1007/978-0-585-34651-9_9
Ulrich, W. (2003). Beyond methodology choice: critical systems thinking as critically systemic discourse. Journal of the Operational Research Society, 54(4), 325-342. https://doi.org/10.1057/palgrave.jors.2601518
Ulrich, W. (2005). A brief introduction to critical systems heuristics (CSH). ECOSENSUS project site. https://doi.org/10.1007/978-1-84882-809-4_6
Wang, H., Ning, H., Lin, Y., et al. (2021). A Metaverse: Taxonomy, components, applications, and open challenges. IEEE Access, 10, 4209–4251. https://doi.org/10.1109/ACCESS.2021.3140175
Wang, H., Ning, H., Lin, Y., Wang, W., Dhelim, S., Farha, F., ... & Daneshmand, M. (2023). A survey on the metaverse: The state-of-the-art, technologies, applications, and challenges. IEEE Internet of Things Journal, 10(16), 14671-14688. https://doi.org/10.1109/jiot.2023.3278329
Zhao, Y., Jiang, J., Chen, Y., et al. (2022). Discuss graphical and visualization frameworks for the Metaverse: Propose a framework based on graphics, interaction, and visualization. Journal of Metaverse, 10, 145-159. https://doi.org/10.1016/j.visinf.2022.03.002
Zhao, Y., Jiang, J., Chen, Y., Liu, R., Yang, Y., Xue, X., & Chen, S. (2022). Metaverse: Perspectives from graphics, interactions and visualization. Visual Informatics, 6(1), 56-67. https://doi.org/10.1016/j.visinf.2022.03.002
References [In Persian] Hosseinzadeh, M., Mehrgan, M. R., & Amiri, M. (2016). A Study of the Methodological Foundations of Operations Research in the Structure of Categorical Syllogisms. Industrial Management, 8(4), 575-600. https://doi.org/10.22059/imj.2017.50691
Dehghan Niri, M., Khezravi, M., & Alinasab Eimani, F. (2018). Critical Systems Heuristics (CSH) for Addressing Conflicting Stakeholder Perspectives in Iran’s Performance-Based Budgeting System. Industrial Management, 10(3), 429-454. https://doi.org/10.22059/imj.2018.254206.1007404
