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PATTERN OF TRADING PARTNER SELECTION IN DEPUTIZATION SYSTEMS BASED ON ADAPTIVE NEURO- FUZZY INFERENCE SYSTEM
Corresponding Author(s) : Alireza Pooya
Humanities & Social Sciences Reviews,
Vol. 9 No. 1 (2020): January
Purpose: The purpose of this study is to develop a model for selecting a business partner in agency systems based on the method of the adaptive neural-fuzzy system.
Methodology: The present research is applied in terms of purpose and descriptive in terms of the research method. The statistical population of the study, based on the subject of the research, the objectives of the research, and the spatial scope of the research, includes 98 agencies of Parsian Insurance Company in East Azarbaijan Province. According to the available statistics, the number of agencies of Parsian Insurance Company in East Azarbaijan Province is 98; Given that designed systems require more samples to arrive at the right answer. Therefore, the sample size will be done using the all-count sampling method. A questionnaire was used to collect the data of the input variables and the sales amount of different types of insurance policies was used for the output part. An adaptive neurophysiological system (ANFIS) has been used to analyze the data. Also, to evaluate the performance of each of the designed systems, the characteristics of the mean error squares and the root mean of the mean error squares were used.
Main Findings: The research findings show that the best model designed to select a business partner in agency systems is a system with foot membership functions, some repetitions of 30, and two membership functions at each input.
Application of Study: The results of this study can be used in agency systems to select business partners.
Novelty/Originality: The novelty of this study is developing a model for selecting a business partner in agency systems based on the method of the adaptive neural-fuzzy system.
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Al‐Khalifa, A. K., & Peterson, S. E. (1999). The partner selection process in international joint ventures. European Journal of Marketing. https://doi.org/10.1108/03090569910292276
Alon, I. (2012). Global franchising operations management: Cases in international and emerging markets operations. FT Press.
Alon, I., Ni, L., & Wang, Y. (2012). Examining the determinants of hotel chain expansion through international franchising. International Journal of Hospitality Management, 31(2), 379-386. https://doi.org/10.1016/j.ijhm.2011.06.009
Altinay, L. (2006). Selecting partners in an international franchise organization. International Journal of Hospitality Management, 25(1), 108-128. https://doi.org/10.1016/j.ijhm.2004.12.013
Altinay, L., Brookes, M., & Aktas, G. (2013). Selecting franchise partners: Tourism franchisee approaches, processes and criteria. Tourism Management, 37, 176-185. https://doi.org/10.1016/j.tourman.2013.01.016
Barthélemy, J. (2008). Opportunism, knowledge, and the performance of franchise chains. Strategic Management Journal, 29(13), 1451-1463. https://doi.org/10.1002/smj.719
Brookes, M., & Altinay, L. (2011). Franchise partner selection: perspectives of franchisors and franchisees. Journal of Services Marketing. ttps://doi.org/10.1108/08876041111149694
Boulay, J., Caemmerer, B., Evanschitzky, H., & Duniach, K. (2020). Multi-unit franchising from franchisor and franchisee perspectives: Antecedents, performance outcomes, and the optimal mini-chain size. Journal of Business Research, 113, 49-58. https://doi.org/10.1016/j.jbusres.2020.02.029
Catalão, J. P. D. S., Mariano, S. J. P. S., Mendes, V. M. F., & Ferreira, L. A. F. M. (2007). Short-term electricity prices forecasting in a competitive market: A neural network approach. Electric Power Systems Research, 77(10), 1297-1304. https://doi.org/10.1016/j.epsr.2006.09.022
Chaudey, M., & Fadairo, M. (2017). Contractual design and networks performance: empirical evidence from franchising. Applied Economics, 42(4), 529-533. https://doi.org/10.1080/00036840701704428
Choo, S., Mazzarol, T., & Soutar, G. (2007). The selection of international retail franchisees in East Asia. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/13555850710827878
Clarkin, J. E., & Swavely, S. M. (2006). The importance of personal characteristics in franchisee selection. Journal of Retailing and Consumer Services, 13(2), 133-142. https://doi.org/10.1016/j.jretconser.2005.08.008
Dant, R. P. (2008). A futuristic research agenda for the field of franchising. Journal of Small Business Management, 46(1), 91-98. https://doi.org/10.1111/j.1540-627X.2007.00233.x
Dant, R. P., & Grünhagen, M. (2014). International franchising research: Some thoughts on the what, where, when, and how. Journal of Marketing Channels, 21(3), 124-132. https://doi.org/10.1080/1046669X.2014.917012
Doherty, A. M. (2009). Market and partner selection processes in international retail franchising. Journal of Business Research, 62(5), 528-534. https://doi.org/10.1016/j.jbusres.2008.06.011
Doherty, A. M., & Alexander, N. (2004). Relationship development in international retail franchising. European journal of marketing. https://doi.org/10.1108/03090560410548942
Fernández-Monroy, M., Martín-Santana, J. D., & Galván-Sánchez, I. (2018). Building successful franchise partnerships: the importance of communication and trust. Management decision. https://doi.org/10.1108/MD-07-2016-0528
Geringer, J. M. (1991). Strategic determinants of partner selection criteria in international joint ventures. Journal of international business studies, 22(1), 41-62. https://doi.org/10.1057/palgrave.jibs.8490291
Glaister, K. W., & Buckley, P. J. (1997). Task‐related and partner‐related selection criteria in uk international joint ventures. British Journal of Management, 8(3), 199-222. https://doi.org/10.1111/1467-8551.00061
Hsu, P. F., & Chen, B. Y. (2008). Integrated analytic hierarchy process and entropy to develop a durable goods chain store franchisee selection model. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/13555850810844869
Jambulingam, T., & Nevin, J. R. (1999). Influence of franchisee selection criteria on outcomes desired by the franchisor. Journal of Business Venturing, 14(4), 363-395. https://doi.org/10.1016/S0883-9026(98)00023-8
Paswan, A. K., Wittmann, C. M., & Young, J. A. (2004). Intra, extra, and internets in franchise network organizations. Journal of Business-to-Business Marketing, 11(1-2), 103-129. https://doi.org/10.1300/J033v11n01_07
Perrigot, R., López-Fernández, B., & Basset, G. (2020). “Conflict-performance assumption” or “performance-conflict assumption”: Insights from franchising. Journal of Retailing and Consumer Services, 55, 102081. https://doi.org/10.1016/j.jretconser.2020.102081
Pousinho, H. M. I., Mendes, V. M. F., & Catalão, J. P. D. S. (2012). Short-term electricity prices forecasting in a competitive market by a hybrid PSO–ANFIS approach. International Journal of Electrical Power & Energy Systems, 39(1), 29-35. https://doi.org/10.1016/j.ijepes.2012.01.001
Shaikh, A. (2016). Conceptualizing fairness in franchisor–franchisee relationship: Dimensions, definitions and preliminary construction of scale. Journal of Retailing and Consumer Services, 28, 28-35. https://doi.org/10.1016/j.jretconser.2015.08.010
Shaikh, A., Sharma, D., Vijayalakshmi, A., & Yadav, R. S. (2018). Fairness in franchisor–franchisee relationship: an integrative perspective. Journal of Business & Industrial Marketing. https://doi.org/10.1108/JBIM-04-2017-0093
Shoorehdeli, M. A., Teshnehlab, M., Sedigh, A. K., & Khanesar, M. A. (2009). Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods. Applied Soft Computing, 9(2), 833-850. https://doi.org/10.1016/j.asoc.2008.11.001
Sié, L., Pett, T., & Hipkin, I. (2015). Exploring franchise system development in France. Journal of Business Venturing Insights, 4, 14-19. https://doi.org/10.1016/j.jbvi.2015.07.002
Soltani-Fesaghandis, G., Pouya, A., Kazemi, M., & Naji Azimi, Z. (2016). Predict the success of new product development using a combination of factor analysis and artificial neural network. Productivity Management, 10(37), 127-155.
Tatoglu, E. (2000). Western joint ventures in Turkey: strategic motives and partner selection criteria. European Business Review. https://doi.org/10.1108/09555340010371809