1. Blundell R, Pistaferri L, Saporta-Eksten I. Consumption inequality and family labor supply. American Economic Review. 2016;106(2):387-435. [ DOI:10.1257/aer.20121549] 2. Bryson JM. Strategic planning for public and nonprofit organizations: A guide to strengthening and sustaining organizational achievement: John Wiley & Sons; 2018. 3. Chakraborty D, Biswas W. Evaluating the impact of human resource planning programs in addressing the strategic goal of the firm: An organizational perspective. Journal of advances in management research. 2019. [ DOI:10.1108/JAMR-01-2019-0007] 4. Liu P, Qingqing W, Liu W. Enterprise human resource management platform based on FPGA and data mining. Microprocessors and Microsystems. 2021;80:103330. [ DOI:10.1016/j.micpro.2020.103330] 5. Li D, Zhou Z, Si Y, Xu Y, Shen C, Wang Y, et al. Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective? International journal for equity in health. 2018;17(1):1-12. [ DOI:10.1186/s12939-018-0742-z] [ PMID] [ ] 6. Kainzbauer A, Rungruang P. Science mapping the knowledge base on sustainable human resource management. 1982-2019, Sustainability. 2019;11(14):3938. [ DOI:10.3390/su11143938] 7. Palmer JJ, Chinanayi F, Gilbert A, Pillay D, Fox S, Jaggernath J, et al. Mapping human resources for eye health in 21 countries of sub-Saharan Africa: current progress towards VISION 2020. Human resources for health. 2014;12(1):1-16. [ DOI:10.1186/1478-4491-12-44] [ PMID] [ ] 8. Bates R. Improving human resources for health planning in developing economies. Human Resource Development International. 2014;17(1):88-97. [ DOI:10.1080/13678868.2013.857509] 9. Esmail Asadi R, Goodarzi M. Impact of United Nations Development Plans on Development Programs of Iran. Research Letter of International Relations. 2018;11(43):9-47. 10. Khammarnia M, Setoodezadeh F. Intensifying health challenges in low-income provinces: The impact of the Corona pandemic. Journal of Jiroft University of Medical Sciences. 2021;8(1):543-4. 11. Nguyen TTH, Phung HT, Bui ATM. Applying the workload indicators of staffing needs method in nursing health workforce planning: evidences from four hospitals in Vietnam. Human Resources for Health. 2022;19(1):1-8. [ DOI:10.1186/s12960-021-00668-y] [ PMID] [ ] 12. Gialama F, Saridi M, Prezerakos P, Pollalis Y, Contiades X, Souliotis K. The implementation process of the Workload Indicators Staffing Need (WISN) method by WHO in determining midwifery staff requirements in Greek Hospitals. European Journal of Midwifery. 2019;3. [ DOI:10.18332/ejm/100559] [ PMID] [ ] 13. Namaganda GN, Whitright A, Maniple EB. Lessons learned from implementation of the Workload Indicator of Staffing Need (WISN) methodology: an international Delphi study of expert users. Human Resources for Health. 2022;19(1):1-9. [ DOI:10.1186/s12960-021-00675-z] [ PMID] [ ] 14. Mathis RL, Jackson JH, Valentine SR, Meglich P. Human resource management: Cengage Learning; 2016. 15. Chelladurai P, Kim ACH. Human resource management in sport and recreation: Human Kinetics; 2022. [ DOI:10.5040/9781718235960] 16. Stone DL, Deadrick DL, Lukaszewski KM, Johnson R. The influence of technology on the future of human resource management. Human resource management review. 2015;25(2):216-31. [ DOI:10.1016/j.hrmr.2015.01.002] 17. Swanson RA. Foundations of human resource development: Berrett-Koehler Publishers; 2022. 18. Organization WH. Community health worker programmes in the WHO African region: Evidence and options-Policy brief. 2017. 19. Organization WH. Global strategy on human resources for health: workforce 2030. 2016. 20. Hecklau F, Galeitzke M, Flachs S, Kohl H. Holistic approach for human resource management in Industry 4.0. Procedia Cirp. 2016;54:1-6. [ DOI:10.1016/j.procir.2016.05.102] 21. Stimpfel AW, Aiken LH. Hospital staff nurses' shift length associated with safety and quality of care. Journal of nursing care quality. 2013;28(2):122. [ DOI:10.1097/NCQ.0b013e3182725f09] [ PMID] [ ] 22. Heathcote J, Storesletten K, Violante GL. Consumption and labor supply with partial insurance: An analytical framework. American Economic Review. 2014;104(7):2075-126. [ DOI:10.1257/aer.104.7.2075] 23. Scott-Clayton J. What explains trends in labor supply among US undergraduates? National Tax Journal. 2012;65(1):181-210. [ DOI:10.17310/ntj.2012.1.07] 24. Doosty F, Maleki MR, Yarmohammadian MH. An investigation on workload indicator of staffing need: A scoping review. Journal of education and health promotion. 2019;8. 25. Namaganda G, Oketcho V, Maniple E, Viadro C. Making the transition to workload-based staffing: using the Workload Indicators of Staffing Need method in Uganda. Human resources for health. 2015;13(1):1-11. [ DOI:10.1186/s12960-015-0066-7] [ PMID] [ ] 26. Doulati SP, Shahgoli JF, Jahanbin H, Kousha A, Tabrizi JS. The assessment of needed workload for manpower approximation in health houses in Iran's villages. European Journal of Scientific Research. 2013;114(1):139-48. 27. Bonfim D, Laus AM, Leal AE, Fugulin FMT, Gaidzinski RR. Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service. Revista latino-americana de enfermagem. 2016;24. [ DOI:10.1590/1518-8345.1010.2683] [ PMID] [ ] 28. Kayani NS, Khalid SN, Kanwal S. A study to assess the workload of lady health workers in Khanpur UC, Pakistan by applying WHO's WISN method. Athens Journal of Health. 2016;3(1):65-78. [ DOI:10.30958/ajh.3-1-4] 29. Abdideh M, Jannati A, Asghari Jafarabadi M. Standard development of family physicians to the population defined by WISN. Bull Env Pharmacol Life Sci. 2014;3(12):89-96.
|