Department of Forecasting and Theory Building, The Iranian Academy of Medical Sciences, Tehran, Iran
Abstract
CONTEXT: Universities of medical sciences are responsible for educating and training human resources (HRs) that provide services to all members of the community. Clinical educators play a significant role in the promotion of health and education in medical sciences universities. AIMS: The aim of this study was to prioritize and develop a model to illustrate the relationship between faculty recruitment challenges in medical sciences universities. SETTINGS AND DESIGN: Interpretive structural modeling (ISM) is a system design method initially introduced by Warfield (1974). This method helps create order in the complex interconnections between components of a system by interpreting the opinions of a group of experts. It both determines the priority of elements influencing one another and uncovers the association between the elements of a multipart set in a hierarchical structure. SUBJECTS AND METHODS: In this method, the identified challenges were built into a paired comparison questionnaire to be completed by policymakers and experts. By the same token, the obtained results were analyzed with the ISM technique. STATISTICAL ANALYSIS: The four steps include identified variables related to the issue, structural self‑interaction matrix, initial reachability matrix, and final reachability matrix was used for analysis. According to these steps, the ISM model was portrayed. RESULTS: The ISM model was developed in ten levels that divided into three parts including key challenges, strategic challenges, and dependent challenges. CONCLUSION: Health promotion and quality of education in medical sciences universities is dependent on quality of faculty recruitment system. According to the results, it is imperative that HR managers and policymakers improve existing rules and develop policies to solve the challenges in this area.
Ardalan A, Firooz Jahantigh F. Strategic Human Resource Planning in Hospitals medical University Tehran. In: Strategic Human Resource Planning in Hospitals Medical University Tehran. Tehran: Tehran medical University; 2017. 2. Yarmohamadian MH, Bahrami S, Karimian J. A review of four performance management models in the healthcare system. Manag Process Dev 2006;19:19‑26. 3. Mehrolhassani MH, Emami M, Haghdoost AA, Dehnavieh R, Amanpour S, Sabbah F, Bazrafshan M. Performance assessment of medical universities using balanced scorecard and analytical hierarchy process; 2013. Iran J Epidemiol 2017;12:55‑64. 4. Vali L, Shokoohi M, Beigzadeh A. Characteristics of a capable university teacher the viewpoints of faculty members of health services management department in Iranian medical universities. Iran J Med Educ 1393;14:90‑100. 5. Ahmadian M. Howness of teacher’s interaction in the clinical educational environments from the viewpoints of the medical students. Med ETHICS J 2015;8:11‑39. 6. Gandomkar RS. Factors influencing medical education in clinical environment: Experiences of clinical faculty members. Iran J Med Educ 2001;11:279‑90. 7. Karimi Moonaghi H, Zhianifard A, Jafarzadeh H, Behnam H, Tvakol Afshari J. Survey obstacles and problems promotion process: Untold of faculty members. J Med Edu Dev 2015;18:73‑86. 8. JayantA, AzharM, SinghP. Interpretive structural modeling (ISM) approach: A state of the art literature review. Int J Res Mech Eng Technol 2014;5:15‑21. 9. Mirghafoori SH, SHabani A, Kh M, Mansouri S, Abadi M. Identification and ranking of effective factors on improving the quality of educational services using the fuzzy vikror fusion and interpretive structural modeling approach. Train Eval 2017;34:13‑33.
10. Dehaghi H, Mahfoozpour S, Modiri M, Alipour F. An interpretive structural model of the quality services to cataract patients. Bina J Ophthalmol 2018;23(2):108‑9. 11. Karimi Shirazi H, Modiri M, Pourhabibi Z, Rafiei Gilevaee A. Improving the quality of clinical dental services using the importance‑performance analysis (IPA) approach and interpretive‑structural modeling (ISM). J Dentomaxillofacial Radiology, Pathology and Surgery 2017;6:1:14‑26. 12. Talib F, Rahman Z. An interpretive structural modelling for sustainable healthcare quality dimensions in hospital services. Int J Qual Res Serv 2015;2:28. 13. Shahabadkar P, Awt_Tag. Deployment of Interpretive Structural Modelling Methodology in Supply Chain Management – An overview. Int J Industiral Eng Prod Res 2012;23:195‑205. 14. Jayant A, Azhar M. Analysis of the barriers for implementing green supply chain management (GSCM) practices on organic irrigation: An interpretive structural modelling (ISM) approach. Int J Mech Eng Technol 2017;8:1446‑56. 15. Kumar S, Kant R. Supplier Selection Process Enablers: An Interpretive Structural Modeling Approach. International J Mech Ind Eng 2013;3:2231‑6477. 16. Attri R, Dev N, Sharma V. Interpretive structural modelling (ISM) approach: An overview. Res J Manag Sci 2013;23:1171. 17. JamiPour M, Sherkat M, Yazdani HR. Developing the change management model in outsourcing of IT services: Using interpretive‑structural modeling (ISM). J Inf Technol Manag. 2017;9:405‑24. 18. Singhal D, Tripathy S, Jena SK, Nayak KK, Dash A. Interpretive structural modelling (ISM) of obstacles hindering the remanufacturing practices in India. Procedia Manuf 2018;20:452‑7. 19. Mansooryar S, Shojaei MR, Sadeh E. Evaluating the internal relations between medical tourism enablers using interpretive structural modeling (ISM). J Tour Dev 2018;6:18‑38. 20. Awana DS, Mathur S. Interpretive Structural Modeling of Implementation Enablers for Just in Time in Icpi. Int J lean Think 2014;5:1‑16. 21. Mosadegh H, Zinabadi H, Behrangi, mohammadreza Abdellahi B. Review of Academic Acquisition Activities among Governmental Universities of the Ministry of Science, * Research and Technology, State Universities of the World and the former educational system of Qom. Manag inThe Islam Univ; 2016. p. 3‑20. 22. Laitinen HA. The Employment Situation. Vol 44.; 1972. doi:10.1002/9781118532461.ch3. 23. Haines VY, Doray‑P DD, Martin V. Good, bad, and not so sad part‑time employment. J Vocat Behav 2018;104:128‑40. 24. Safi MH, Falahi Khoshknab M, Russell MR. Job Satisfaction among Faculty Members of University of Social Welfare and Rehabilitation Sciences. Iran J Med Educ 2011;10:323‑32. 25. Salmanzadeh H, Maleki M. A study of IUMS clinical faculties’ opinions on their motivation for working in university, 2001. Q J Heal Manag 2002;5:21‑30. 26. Malik N. A study on motivational factors of the faculty members at university of Baluchistan. Serbian J Manag 2010;5:143‑9. 27. Tenzer L. Faculty Motivations and Incentives for Teaching eCourses at a For‑Profit Online Applied Arts College. Online Submiss; 2012. 28. Rostami V. Legal Review of Service Entry and Employment in the Law on the Administration of Civil Services (Chapters 6 and 7). Crit Study Hum Sci Texts Programs 2011;2:17‑48. 29. Mohammadi N, Beigi NR, Khani MM, Tabriz AA. Presenting a desirable pattern for selecting the Faculty Members in Iranian universities. J Product Manag 2017;37:157‑180. 30. Posthuma RA, Levashina J, Lievens F, Schollaert E, Tsai W, Wagstaff M, et al. Comparing employment interviews in Latin America with other countries. J Bus Res 2014;67:943‑51.