ارائه بخش بندی بازار داروهای گیاهی از منظر سلامت گرایی مشتریان و استراتژی های مقتضی

نوع مقاله: مقاله پژوهشی

نویسندگان

گروه مدیریت بازرگانی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران

چکیده

یکی از صنایع مهم جهت تحقق اهداف توسعه صنعت داروهای گیاهی است. به نقل از صاحبنظران این حوزه سهم بازار داروهای گیاهی در ایران کمتر از چهار درصد است. یکی از دلایل آن را می‌توان غفلت در اجرای برنامه‌های بازاریابی هدفمند دانست. پژوهش از حیث هدف کاربردی و با استفاده از ابزار مصاحبه و  پرسشنامه انجام شده است. جامعه آماری پژوهش شامل کلیه کسانی که جهت خرید داروهای گیاهی به داروخانه‌ها مراجعه می‌کنند. تعداد نمونه 460 نفر لحاظ شد. روش نمونه گیری هدفمند و در بخش کمی طبقه بندی بوده است. جهت تجزیه و تحلیل داده‌ها از روش اشتراوس و کوربین و الگوریتم های کای میانگین و شبکه عصبی استفاده شد. یافته‌های پژوهش به استخراج نه مقوله منتهی شد. مبتنی بر نتایج شاخص‌های DB، RS،  RMSSTDشبکه عصبی نسبت به رویکرد کای میانگین از دقت بالاتری برخوردار بوده است، در نتیجه یافته‌ها مبتنی بر الگوریتم شبکه عصبی ارائه شده است. نتایج حاکی از آن است، که بهترین حالت بخش بندی این بازار به پنج بخش است. استراتژی‌های مقتضی شرایط هر بخش جهت تحقق همزمان ارزش برای مشتریان، بازار و توسعه این صنعت در سطح کلان ارائه شده است.

کلیدواژه‌ها


عنوان مقاله [English]

Classification of the herbal medicine market from the perspective of customer health and appropriate strategies

نویسندگان [English]

  • Azita Sherej Sharifi
  • Ghasem Ali Bazaee
  • Seyed Abbas Heydari
Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده [English]

One of the major industries to meet the goals of development is the industry of herbal medicines. As the scholars of the field argue, the share of the herbal medicine market in Iran is less than four percent. This might be due to the executive negligence of targeted marketing. The present research was conducted through interviews and questionnaires. The participants in the study includes all the people going to pharmacies to purchase herbal medicines. The sample size was determined to be 460. Purposeful and classified sampling methods were used in qualitative and quantitative sections respectively. The qualitative phase was based on the grounded theory, while k-means and neural network algorithms were used for quantitative analysis. The qualitative findings point to nine essential categories. Based on DB، RS and RMSSTD indexes, a neural network proved to have a higher accuracy than K- Means. Therefore, the findings were presented based on it. As the results suggest, the best mode is the classification of this market (i.e., herbal medicine) into five segments. The results can contribute to the presentation of an appropriate strategy for each segment in order to simultaneously create values for both customers and market, in particular, and create facilities for the expansion of herbal medicine industry, in general.                                                                                           

کلیدواژه‌ها [English]

  • Market segmentation
  • Herbal medicine
  • Psychological characteristics
1. Ahmadi, P., Azar, A., & Samsami, F. (2010). Market segmentation drug neural network approach. Journal of Business Management, 2(6): 1-20.
2. Aslihan, Nasir, & Fahri, Karakaya. (2014). Consumer segment in organic foods market. Journal of consumer marketing, 31 (4): 263-277. 
3. Ayazi, S.M.H. (2017). The Ministry of Health supports the manufacturers of herbal medicines and herbal medicines. http://tasnim.ai/1658994/ 19/2/2017.
4. Braund, K. & Kumar. C. (2003). Marketing Management, Sage publication INC.
5. Cekaran, o. (2011). Method of research in management. Translated by Mahmood Shirazi and Mohammad Saebi, Tehran, presidential administration management education center publications.
6. Creswell,W.J. (2005).Qualitative inquiry and research design, London, Sage publications.
7. Gheybi, F. (2018). The Economic Value of Herbal plant in Iran. http://TasnimNews.com/Fa/News/ 10/6/2018
8. Green grove, Kathryn. (2002). Needs- based segmentation: principles and practice. International Journal of Market Research, 44 (4): 405-422.
9. Hajimirrahimi, S.D. (2017). The Effect of Educational, Expansions and Research Factors on the Development of Medicinal Plants in Markazi Province of Iran. International Journal of Agricultural Management and Development, 7 (2): 223-236.
10. Jamshidi, A.H. (2016). Review the Amount of Herbal Medicinal Produced in Iran. Record in Third National Exhibition of Herbal Medicine and traditional Medicine in Iran, Technical and Knowledge Based Publication, Tehran.
11. Jasemi, M., Moradnezhad, H., & salavarz, M. (2016). Entrepreneurial Strategies of Enhansing Competeitive Advantage of Medicinal Herbs in Ilam Province, International Journal of Agricultural Management and Development, 6 (4): 459-466.
12. Kotler, Ph., & Armstrong, G. (2013). Principles of Marketing. Translated by Mohammad Reza SalehSaadi Abbas Arestani, Volume 1, published XIV, Tehran: Ilar.
13. Kheyri, H. (2018). Drug capita in Iran is more than Global Standard. http://Irna.ir/Fa/ News/ 83032795/13/9/2018.
14. Kim, K.j., & Ahn, h. (2008). A recommender system using K- Means clustering in an online shopping market in diet products. Expert system with application, 34 (6): 1200-1209.
15. Kuo, R.J, Wang, H.S, Hu, Tung. L., & Chou, S.H. (2005). Application of Ant K- Means algorithm for market segmentation. Computer and mathematics with application, 50(8):1709-1724.
16. Lee, Hyan-Joo., & Goudeau, C. (2014). Consumer's beliefs, attitudes and loyalty in purchasing organic foods, British food journal, 116(6): 918-930.
17. Lendel Kade, N., Wayne, G., & Govind, S. (2015). Demand for organic produce, Journal of agribusiness in developing and emerging economies, 5(1): 76-91.                              
18. MaranGoz, M, Paksoy, M., & et al. (2014). Modeling Attitude towards organic foods: A research on adolescents. Business Management Dynamics, 3(7): 40-49.
19. Marievon, M.H., & Sinanitzko, A.S. (2015). Is there an expectation gap? Consumer's expectations towards organic. British Food Journals, 117(5): 1527-1546.
20. Martinti, H. Bidmoth, H., & Mark, B. (2015). Nural network design, translated by Mstafa Kia, Tehran,Kianrayansabz.
21. Momeni, M. (2011). Data Clustering, 2nd publication, Tehran, moalef pub.
22. Prajita, Ch., & Mercy, S. (2014). Artificial neural network: a tool for understanding consumer behavior. Marketing intelligence and planning, 32(5):552-566.
23. Ranjbarshams, H., & Omidinajafabadi, M. (2014). Reviewing the effective factors on agricultural organic productions consumption attitude. Agricultural promotion and education researches, 7(2): 24-31.
24. Roediger, M., & Ulrich, H. (2015). How are organic food prices affecting consumer behavior?  Food Quality and preference Journal, 43(3): 10-20.
25. Strauss, A., & Corbin, J. (1998). Basic of qualitative research: techniques and procedures for developing grounded theory, thousand Oaks, Sage publications.
26. Vandel, S. (1956). Market segmentation study guide, Englewood cliffs, Prentice-Hall.
27. Yavari, A. (2018). Iran the golden gardens of medicinal plants and the share of Iran from global trade to zero. http:// tasnim news.com/11/6/2018.  
28. Walker, O.C, Boyd, H, W., & etal. (2017). Marketing Strategy; A decision- focused approach.Transleted by  Seyed Mohammad Aarabi and Davood  Izadi, Tehran,Cultural Research Bureau.