Investigating and Explaining Factors Affecting on Iranian Pharmaceutical Distribution Industry Using Fuzzy Delphi Technique

Journal of System Management

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 15 دی 1402

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/jsm.2024.2000835.1903

نویسندگان

seyed roohollah mousavi^{* 1}؛ Asghar Moshabaki Esfahani²؛ Amir Mohammad Colabi³؛ Gholamreza Goodarzi⁴

¹PhD candidate in Strategic Management, Tarbiat Modares University, Tehran, Iran.

²Professor in Business Administration, Faculty of Management & Economics, Tarbiat Modares University,

³Assistant Professor in Business Management, Tarbiat Modares University

⁴Professor in Industrial Management (Operation research), Faculty of Islamic Studies and Management, Imam Sadegh University

چکیده

It is widely accepted that drugs are one of the most important components of health care, and their prompt access has become one of the most important goals of health care systems around the world, as well as one of the main concerns of governments. The purpose of this study was to Investigating and Explaining Factors Affecting on Iranian Pharmaceutical Distribution Industry Using Fuzzy Delphi Technique. This research is applied in terms of purpose and descriptive-survey in terms of implementation method. The statistical population of the study is made up of 35 experts in Iran's Pharmaceutical distribution industry who were selected by snowball sampling. First, with a deep review of the research literature and based on the content analysis, 41 factors affecting the pharmaceutical distribution industry were identified. To screen and ensure the importance of the identified factors and select the final factors through the design of a Researcher-made questionnaire and the fuzzy Delphi method was used in two stages. Kendall’s coefficient of concordance was used to calculate the agreement of the experts. According to the nature of this research, fuzzy Delphi method and Excel and SPSS software were used to analyze the collected data. Based on the obtained results, the members of the Expert Panel found a total of 49 factors effective on the pharmaceutical distribution industry, of which 41 factors have been mentioned in previous researches and studies, and 8 other factors have been introduced by the panel members

کلیدواژه‌ها

Drug؛ fuzzy Delphi method؛ Iran؛ Pharmaceutical Distribution؛ Pharmaceutical Supply chain

مراجع

Abed Saif, A., Alghawli, A., Nasser, A., & Mijahed, A. (2021). A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy level of Hospitals, International journal of computer science and applications, 12(7), 81–97).

Abedini.A., Irani.H.R., Yazdani,H.R.(2019). Identify and Prioritize the Critical Success Factors in Pharmaceutical Supply Chain and Distribution Using the DEMETEL Technique, payavard 2019, 13(1), 45-59.  http://payavard.tums.ac.ir/article-1-6728-en.htm

 

Abha, W. (2018). Evaluating the Effect of Digitalization on the Sales Force of Pharmaceutical Industry. Economics and Applied Informatics, 2, 21-29.  https://doi.org/10.26397/eai158404093.

Achuora, J.O., Arasa, R.M., Nzioki, W. Ochiri, G. & Muangangi, P. (2012). Factors Affecting distribution performance for pharmaceutical products in Kenya public sector, International Journal of Research in Social Sciences, 1(118), 49-2496. http://ir.mksu.ac.ke/handle/123456780/4852

Baker, P. (2018). The design and operation of distribution centers within agile supply chains. International Journal of Production Economics, 111, 27-41. doi.org/10.1016/j.ijpe.2006.09.019.

Balakrishnan Kokilam, M., Ganesh Joshi H., & Ganesh Kamath, V. (2015), Assessment of Public Pharmaceutical Supply Management System at Rural Primary Health Centers in Udupi District, Karnataka, Indian Journal of Pharmacy Practice, 8, (4), 148-165. Doi: 10.5530/ijopp.8.4.3

Bastani P, Ahmadzadeh M., Dorosti, H. Abadi, S.J., & Sarikhani, Y. (2019). Challenges of the pharmaceutical supply chain in a developing country: A qualitative study. TJPS.43(3),179-85. http://www.tjps.pharm.chula.ac.th

Belton, I., MacDonald, A., Wright G., & Hamlin, I. (2019). Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process, Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process, Technological Forecasting and Social Change, (147),72-82. https://doi.org/10.1016/j.techfore.2019.07.002.

Boulkedid, R., Abdoul, H., Loustau, M, Sibony, O., & Alberti, C. (2011). Using and reporting the Delphi Method for Selecting Healthcare Quality Indicators: A Systematic Review PLoS ONE, 6(6), 204-217.

Cheraghali, A.M. (2013). Impacts of international sanctions on Iranian pharmaceutical market, Journal of Pharmaceutical Sciences, 21(64), 1-3. https://doi.org/10.1186/2008-2231-21-64.

Chang, P. L., Hsu, C. W., & Chang, P. C. (2011). Fuzzy Delphi Method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 36(21), 14172– 14179. doi: 10.1016/j.ijhydene.2011.05.045

Cheng, C. H., & Lin, Y. (2012). Evaluating the Best Main Battle Tank Using Fuzzy Decision Theory with Linguistic Criteria Evaluation. European Journal of Operational Research, 142: 74-86. https://doi.org/10.1016/S0377-2217(01)00280-6.

Darvish Motevalli, M.H., Ebrahimi, M. (2021). A New Model to Analyze the Efficiency of a Multilevel Drug Supply Network for Hospitals, Journal of System Management (JSM), 7(26): 59-81. doi: 10.30495/jsm.2021.1929000.1470

Devaney, L., & Henchion, M. (2018). Who is a Delphi “expert”? Reflections on a bioeconomy expert selection procedure from Ireland. Futures, 99, 45–55. doi: 10.1016/j.futures.2018.03.017

Dierks, R. Bruyère, O. Register, J.Y., & Richy, F.F. (2016). Macro-economic factors influencing the architectural business model shift in the pharmaceutical industry. Expert Rev Pharmacoeconomic Outcomes Res 16(5),571–578.DOI: 10.1080/14737167.2016.1239534

Esmaeillou, Y., Asl, I. M., Tabibi, S. J., & Cheraghali, A. M.  (2017). Identifying Factors Affecting the Pharmaceutical Supply Chain Management in Iran. Galen Medical Journal, 6(4), 346-355. https://doi.org/10.22086/gmj.v6i4.869. DOI: 10.22086/gmj. v6i4.869.

Clayton, M. J. (1997). Delphi: a technique to harness expert opinion for critical decision‐making tasks in education. Educational Psychology, 17(4), 373–386. doi:10.1080/0144341970170401

Fendereski, A., Mehrabian, A., Didehkhani, H., & Esfandiari Moghaddam, A. (2023). Investigating the Identification of Technological Business Criteria based on Cloud Computing in Small and Medium-Sized Bompanies Using Fuzzy Delphi Method, Journal of System Management (JSM), 9(4), 149-162, Doi: 10.30495/JSM.2023.1982788.1798.

Forster, S.P., Stegmaier, J., Spyher, R. & Seeger, S. (2014). Virtual Pharmaceutical Companies: Collaborating Flexibly in Pharmaceutical Development. Drug Discovery Today, 19, 348-355. DOI: 10.1016/j.drudis.2013.11.015

Gheorghiu, R., Dragomir, B., Andreescu, L., Cuhls, K., Rosa, A., Curaj, A., & Weber, M). 2017(. New Horizons: Data from a Delphi Survey in Support of European Union Futures Policies in Research and Innovation. Retrieved from.pp.1-345. DOI:10.2777/654172

Global Pharmaceuticals Industry Analysis and Trends. (2023). NAVADHI Market Research.pp.1-339. https://www.reportlinker.com/p05750669/Global-Pharmaceuticals-Industry-Analysis-and-rends.html

Grujić, J., Morača, S., & Fajsi, A. (2020). Analysis of Risk Factors in the Channels of Drug Distribution: Professional Perspectives. Sustainability, 12(11), 47-87. doi:10.3390/su12114787 

Jassbi, A., Jafari, M., Mahdavi Mazdeh, M., & Maleki.M. (2021). Identifying the Challenges and Discussing about Current Situation of the Iranian Pharmaceutical Industry Based on a Systematic Analysis of Experts’ Opinion, Journal of System Management (JSM), 7(1), 1-20, doi: 10.30495/jsm.2021.1931181.1478

Johnson, L.K. (2006).  Successful Business Outsourcing, MIT Sloan Management Review, 47(2), 4-6.

Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. doi:10.1046/j.1365-2648. 2000.t01-1-01567.x 

Health at a Glance. (2015). OECD INDICATORS, pp.1-220. https://doi.org/10.1787/health_glance-2015-en.

Hristova, S., Stevcevska-Srbinoska, D.S., Mileva, I., & Zafirova, A. (2019). Trade-off between liquidity and profitability: an empirical study of pharmaceutical sector in the Republic of North Macedonia, Timisoara Journal of Economics and Business 12(2),127-148. DOI:10.2478/tjeb-2019-0007

Hsieh, T. Y., Lu, S. T., & Tzeng, G. H. (2014). Fuzzy MCDM approach for planning and design tenders’ selection in public office buildings. International Journal of Project Management, 22(7), 573–584. doi: 10.1016/j.ijproman.2004.01.00

Kokabisagh, F. (2018). Assessment of the Effects of Economic Sanctions on Iranians’ Right to Health by Using Human Rights Impact Assessment Tool: A Systematic Review, Int J Health Policy Manag, 7(5), 374–393. DOI: 10.15171/ijhpm.2017.147

Liu, L. , Wu,Y., & Liu. J.  (2023). Research on Corporate Social Responsibility Evaluation Based on Improved CRITIC-TOPSIS—A Case Study of Listed Companies in China’s Pharmaceutical Distribution Industry, Open Journal of Applied Sciences, 13, 704-719, DOI: 10.4236/ojapps.2023.135056

Lund, B. D. (2020). Review of the Delphi method in library and information science research. Journal of Documentation, 76(4), 929–960. doi:10.1108/jd-09-2019-0178

 Maldistributed Decision Making Systems based on EW, ENTROPY, CRITIC and SVP weighting approaches, Indian Journal of Science and Technology, 12(4), 1–21.

Manakandan, S. K., Rosnah, I., Mohd, R. J. & R. Priya. (2017). Pesticide applicators questionnaire content validation: A fuzzy Delphi method. Med J Malaysia, 72(4), 228-235.

McCabe, A. (2009). Private Sector Pharmaceutical Supply and Distribution Chains, Health Systems for Outcomes Publication, pp.1-68. https://www.jstor.org/stable/resrep26274.1

Mustapha, R., & Darusalam, G. (2017). Aplikasi kaedah Fuzzy Delphi dalam Kajian Sians Sosial. Penerbitan Universiti Malaya. Kuala Lumpur.

Mustapha, R., Fairuz Jafar, M. Muzakkir, M. Othman, M, Kamal J. & Nur Shahira, I. (2021). The Development of I-Cylearn Framework in Online Digital Learning in Higher Education: The Fuzzy Delphi Method Study, International Journal of Academic Research in Business and Social Sciences, 11(4), 412 – 428.

Nasser, A. A., Alkhulaidi, A. A., Ali M. N, Hankal M, & Al-olofe M. (2019). A Study on the impact of multiple methods of the data normalization on the result of SAW, WED and TOPSIS ordering in healthcare.

Noremy Md. Akhir, Ang Wei Lun, Chan Mee Yeang, Norshairani Abd Rahman & Lilia Halim. (2022) Establishing the value-psychological-educational dimensions for “learning to action” model for pro environmental behaviour, Cogent Education, 9(1): 1-21, 2156748, DOI: 10.1080/2331186X.2022.2156748

Nouhi, M., Baltussen, R., Razavi, S. S., Bijlmakers, L., Sahraian M. A., Goudarzi, Z., Farokhian, P.a, (2019). The Use of Evidence-Informed Deliberative Processes for Health Insurance Benefit Package Revision in Iran, 11(11), 2719–2726. doi:10.34172/ijhpm.2022.6485

Panje Kobi, R & Firouzi Jahantigh, F. (2021). Risk factors identification and assessment in the supply chain of pharmaceutical industry using artificial intelligence, Journal of Hospital, 4(79), 42-50.  http://jhosp.tums.ac.ir/article-1-6504-en.html.

Paul, D. Sanap, G, Shenoy, S.Kalyane, D. Kalia, K. Tekade, R.K. (2021). Artificial intelligence in drug discovery and development. Drug Discov Today 26,80–93. doi: 10.1016/j.drudis.2020.10.010

Perera, A. H., Drew, C. A., & Johnson, C. J. (2012). Expert Knowledge and Its Application in Landscape Ecology. Springer, New York, 131-151. http://doi.org/10.1007/978-1-4614-1034-8.

Rao, P.M. (2008). The emergence of the pharmaceutical industry in the developing world and its implications for multinational enterprise strategies. International Journal of Pharmaceutical and Healthcare Marketing, 2 (2), 103-16.

Ramanathan, U. (2014) Performance of Supply Chain Collaboration—A Simulation Study. Expert Systems with Applications, 41, 210-220. http://dx.doi.org/10.1016/j.eswa.2013.07.022.

Rome, B. N., Avorn J., (2020). Drug Evaluation during the Covid-19 Pandemic, The New England Journal of Medicine, 382(24), 2282-2284. DOI: 10.1056/NEJMp2009457.

Rossetti, C. L., Handfield, R., & Dooley, K. J. (2019). Forces, trends, and decisions in pharmaceutical supply chain management. International Journal of Physical Distribution & Logistics Management, 41(6), 601–622. doi:10.1108/09600031111147835.

Rowe, G., & Wright, G. (2001). Expert Opinions in Forecasting: The Role of the Delphi Technique. Principles of Forecasting, 125–144. doi:10.1007/978-0-306-47630-3_7 

Odek, R. Elmad, O. (2019). Analysis of Factors Affecting Performance of Distribution Logistics Among Manufacturing Firms in Kenya: A Case Study of Kibos Sugar Company Limited and Allied Industries, International Journal of Scientific and Research Publications,9(9):334-342. DOI: 10.29322/IJSRP.9.09. 2019.p9343

Sayyari, M. S., CheraghAli, M.R., & Saeidi, P. (2023). Strategic International Business Innovation: A New Approach in Development of Iran's Pharmaceutical Industry, Journal of System Management (JSM), 9(4): 73-84. Doi: 10.30495/JSM.2023.1980921.1782

Shabandarzadeh, H, & Abadi, F. (2017). Evaluation of supply chain performance with the approach of supply chain operation reference model (SCOR)Case study: Sadra Company, Business Review.14(79),37-49. DOI:10.1186/2008-2231-22-35.

Shabaninejad, H., Mehralian, G., Rashidian, A.  (2014). Identifying and prioritizing industry-level competitiveness factors: evidence from pharmaceutical market. DARU J Pharm Sci 22(35), 1-7. doi.org/10.1186/2008-2231-22-35

Scott & Scott. (2011). The Effect of Search Channel Elimination on Purchase Incidence, Order Size and Channel Choice.

Skulmoski, G. Hartman, F. T.  & J. Krahn. (2007). The Delphi Method for Graduate Research, Journal of Information Technology Education: Research, 6,1-21.

Spickermann, A., Grienitz, V., & von der Gracht, H. A. (2014). Heading towards a multimodal city of the future? Technological Forecasting and Social Change, 89, 201–221. doi: 10.1016/j.techfore.2013.08.03

Stern, L. and Heskett, L.J. (2014). Conflict Management in Inter-organization Relations: A Conceptual Frame-work, " in Distribution Channels: Behavioral Dimensions, Louis W. Ster, ed. Boston: Houghton-Mifflin Company, pp. 228-305.

Tavakol, P., Nahavandi,B., , Homayounfar,M. (2023). Analyzing the Drivers of Bullwhip Effect in Pharmaceutical Industry’s Supply Chain, Journal of System Management (JSM), 9(1): 97‐117, Doi: 10.30495/JSM.2022.1966147.1691.

Toma, C., & Picioreanu, I. (2016). The Delphi technique: Methodological considerations and the need for reporting guidelines in medical journals. International Journal of Public Health Research, 4(6), 47-59. https://www.researchgate.net/publication/311777483

Tyagi, S. & Nauriyal, D.K. (2017), Firm level profability determinants in Indian drugs and pharmaceutical industry, International Journal of Pharmaceutical and Healthcare Marketing, 11 ( 3), :271-290. https://doi.org/10.1108/IJPHM-03-2016-0016.

Woodcock, Th. Adeleke, Y. Goeschel,Ch.  Pronovost, P. and Dixon-Woods, M. (2020). A modified Delphi study to identify the features of high-quality measurement plans for healthcare improvement projects, Woodcock et al. BMC Medical Research Methodology, 20(8): 1-9. https://doi.org/10.1186/s12874-019-0886-6

World Health Organization. (2016). Health Transition”. Internet:  http://www.who.int/trade/glossary/story050/en/.

 Wu, Ch. H .,& Fang, W. Ch.  (2011). Combining the Fuzzy Analytic Hierarchy Process and the fuzzy Delphi method for developing critical competences of electronic commerce professional managers, Quality & Quantity, 45:751–768. DOI:10.1007/s11135-010-9425-6

Yadav, P. & Smith. L. (2014). Pharmaceutical Company Strategies and Distribution Systems in
Emerging Markets, Encyclopedia of Health Economics, 3,1-8. doi:10.1016/B978-0-12-375678-7.01218-9.

Yu, X., Li, C., Shi, Y., & Yu, M. (2010). Pharmaceutical supply chain in China: Current issues and implications for health system reform. Health Policy, 97(1), 8–15. doi: 10.1016/j.healthpol.2010.02.

Zeben, G. (2021). Factor Affecting the Effectiveness of Pharmaceutical Delivery the Case of Ethiopia pharmaceuticals Supply Agency Jima Town. Jima University, College of Business & Economics School of Postgranduate Studies. https://repository.ju.edu.et//handle/123456789/6705