Developing a Model and Identifying the Factors Influencing the Emergence of Black Holes in Human Resources in order to Improve the Productivity of Companies using Fuzzy Cognitive Map
Subject Areas : Human resources management)Seyedeh Maryam Mousavi Zadeh 1 , Mohammad Hakkak 2 , Mohsen Arefnezhad 3
1 - Master's Degree, Department of Business Administration, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran)
2 - Associate Professor, Department of Business Administration, Faculty of Management and Economics, Lorestan University, Khoramabad, Iran.
3 - Assistant Professor, Department of Business Administration, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran
Keywords: human resources, black holes, fuzzy cognitive map, productivity ,
Abstract :
Nowadays, due to the population’s growth and the expansion of science and new technologies, various businesses have been created in society. These businesses need to pay special attention to human resources in order to have good productivity and not be weak in front of their competitors. This research aims to design a model to determine the factors affecting the emergance of human resource black holes using a fuzzy cognitive map (FCM). The statistical population of this research includes experts familiar with the subject at Lorestan University and Azad University, Lorestan branch whose sample members were selected using the snowball sampling method based on the principle of theoretical saturation. The data collection instrument consisted of the interviews in the qualitative part, whose validity was confirwmed using content validity, and their reliability was calculated using intra-coder inter-coder reliability with a coefficient of 78. The data collection instrument is the quantitative part included a questionnaire, whose validity and reliability were confirmed by content validity and test- retest reliability, whose coefficient was found to be 84. In this research, the content analysis and coding methods were used in the qualitative part and the FCM was used in the quantitative part to analyze the data. The findings in the qualitative part included identifying factors affecting the emergeance of human resource black holes, and the findings of the quantitative part included the ranking of these factors based on the degree of importance. The results of the research showed that a preference for engagement over expertise with the highest capacity for influence and consequently the highest degree of centrality was identified as the most important factor influencing the emergence of human resource black holes. Following this, the supervisors' inattention to the organization's problems and events, lack of proper performance evaluation system, individualism, and managers' inefficiency were identified as other important factors affecting the emergence of human resources black holes.
Abeysekara, I. (2007). Intellectual capital reporting between a developing and developed nation, Journal of Intellectual Capital, 8(2), 329-345. doi:10.1108/14691930710742871
Abtahi, S. H., & Kazemi, B (2008). Productivity, Business Studies and Research Institute, 1-228. [In Persian [ https://sid.ir/paper/457035/fa
Ansari, G. H., & Sabzi Aliabadi, S. (2010). Pritorize of effective organizational factors on improvement of productivity of human resources of small industries. Journal of Business Survey, 39, 46- 50. [In Persian] https://sid.ir/paper/451786/fa
Azar, A., & Amirkhani, T. (2015). Budget black holes in Iran's budgeting system. Public Administration, 8(4), 571-590. [In Persian[ dor:20.1001.1.20085877.1395.8.4.3.3
Azar, A., & Mostafaei, Kh. (2013). Fuzzy cognition map, a new approach in soft modeling: budgeting modeling in Iran's statistics center. Management Researches in Iran, 16(3), 83-103. [In Persian[ dor:20.1001.1.2322200.1391.16.3.5.6
Allahverdi M, Farahabadi E, Sajadi H. (2011). Prioritizing factors effecting on human resources productivity: Viewing of middle-class managers in Isfahan University of Medical Sciences, 9(3 and 4), 77-85. ]In Persian[ http://jhosp.tums.ac.ir/article-1-82-fa.html
Farooq, R., & Sultana, A. (2022). The potential impact of the COVID-19 pandemic on work from home and employee productivity. Measuring Business Excellence, 26(3), 308-325. doi:10.1108/MBE-12-2020-0173
Ghasemi, A., & Qobadian, M. R. (2014). Drawing and rating scenarios of the future of Iran's power industry utilizes the fuzzy cognitive map and Scenario analysis. Journal of Technology Development Management, 2(4), pp. 101-134. [In Persian] doi:10.22104/JTDM.2016.316
Gan, X. Chang, R. Langston, C. Wen, T. (2019). Exploring the interactions among factors impeding the diffusion of prefabricated building technologies, Engineering, Construction and Architectural Management, 26 No. 3, 535-553. doi:10.1108/ECAM-05-2018-0198
Ghaemi, M., Hamidi, H., Zavvari, S., & Rezaei, A. (2011). The relationship between financial indicators and indicators of productivity in manufacturing companies, Audit Journal, 52, 96- 98. [In Persian]
Hajek, P. Pachura, P. Stejskal, J. (2017). Textual Analysis For Developing Fuzzy Cognitive Maps – The Case Of Strategy Maps, Journal of Theoretical and Applied Information Technology, 95(23):6536-6545. https://hdl.handle.net/10195/70353
Hendricks, L. (2002) "How Important is Human Capital for Development?" American Economic Review, 92 (1), p.p. 198-219.
Hosseini, A., Alizadeh Sani, M., & Gholami Kordkheili, H. (2017). The Effect of Human ResourcesS strategies on the Manpower Productivity in Sari 1 and 2 Industrial Estate Productive Firms with Moderating role on cost leadership business strategy. The Journal of Productivity Management, 10(4(39)), 91-124. [In Persian] https://sid.ir/paper/181965/en
Jalali Farahani, M., Fereydooni, M., & Zafari, R. (2017). Designing a model of the effect of organizational culture on organisational learning and human resources productivity. Scientific Journal of Organizational Behavior Management in Sport Studies, 4(1), 41-48. [In Persian] dor:20.1001.1.25384023.1396.4.1.4.0
Khaki, Gh. R. (1998). Familiarity with productivity management. Tehran, Saye Nama Publications, first edition, 1-220. ]In Persian[ https://www.gisoom.com/book/1116577
Kudyba, S. (2003). Knowledge management: The art of enhancing productivity and innovation with the human resource in your organization, Published in DM Review. researchgate.net
Lutka, R.(2007). Black holes in organizations,CMA,Management,81(2), pp 34.
Mansouri, H., & Khizab, S. (2022). The impact of strategic human resource management on organizational productivity (case study: Ekhtaz Novin Bank branches in Tehran), Journal of Management and Accounting Research, 2(4), 221-242. [In Persian] https://civilica.com/doc/1603879/
Mirzaei, B. (2012). Investigation of factors affecting the improvement of manpower productivity in the industry, mining and trade organization of Tehran province, 8(2). [In Persian] http://athir.blogfa.com/post/4044
Mehrabian F, Nasiripour A A, Farmanbar R, Keshavarz Mohammedian S. (2011). Determination of Manpower Productivity Promotion Factors in Terms of Faculty Members and Free-University Lecturers of Guilan University of Medical Sciences, 3(2), 58-63. [In Persian] http://rme.gums.ac.ir/article-1-46-fa.html
Mezginejad, D., Ayati, M., & Pourshafai, H. (2018). The role of quantum management in human resource productivity with respect to mediation of organizational voice in the staff of the Education Department in Birjand. Managing Education in Organizations, 7(1), 41-77. [In Persian] http://journalieaa.ir/article-1-102-fa.html
Mobini Dehkordi, A., & Tahmasb Kazemi, B. (2013). The Talents Strategic Management: An Analysis of Approaches, Problems and Features. 6(22), 105-134. [In Persian] https://www.jsfc.ir/article_15387_en.html?lang=fa
Nikshapouri, M., Abasnejad, T., Ahmadi Kohnali, R. (2016). Analysis of factors affecting green productivity using fuzzy cognitive map. Hormozgan University Press, 8(4), 97-119. [In Persian] https://sid.ir/paper/240968/fa
Rahnavard F. (2020). Organizational Black Hole Theory. Management and Development Process, 33 (1), 27-56. ]In Persian[ http://jmdp.ir/article-1-3885-en.html
Roger, M. (1996). Pulling Through with Productivity, Transportation and Distribution, 36(5).
Sanati, Gh., & Eyn Abadi, D. (2007), Measuring the productivity of production units. Tadbir Journal, 181, 40-43. [In Persian]
Sharifinejad, E. (2016). Analyzing factors affecting knowledge management in tourism with a soft thinking approach. Publications of the University of Science and Art affiliated with the Academic Jihad, 1-15. ]In Persian[
Safari, H. & Khan Mohammadi, E. (2012). "Strategy map drawing considering the type of attitude and level of confidence of decision makers using the fuzzy DEMATEL technique". Scientific Research Journal of Modiriyat-e Farda, 12(37), pp. 68. ]In Persian[ http://modiriyatfarda.ir/Article/24469/FullText
Safari, H., Tayebi, T., Khanmohammadi, E. (2018). Structuring and Ranking the Strategic Objectives Using the Fuzzy Cognitive Mapping Approach and BORDA-OWA Method. Journal of Business Management, 10(4), 871-888. [In Persian] https://sid.ir/paper/140208/fa
Sofiabadi, J.; Kolahi, B.; Valmohammadi, ch. & Movahedi, M. M. (2014). Using the fuzzy cognitive strategy map in determining the success path of the organization. Productivity Management, No. 34, pp. 201-223. ]In Persian[ https://sid.ir/paper/181944/fa
