Factors Affecting the Success of Rural Production Cooperatives in Chaharmahal and Bakhtiari Province with Emphasis on Managerial Skills Shakiba Mahdian dehkordi1*, Ali Yousefi 2, Amir Mozafar Amini 3, Hosein Mahdian dehkordi4 1- MSc Graduate of Rural Development, Department of Rural Development, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran. 2- PhD of Agricultural Economics, Assistant professor, Department of Rural Development, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran 3- PhD of Rural Development, Assistant professor, Department of Rural Development, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran 4- MSc. Student of Industrial Engineering, Faculty of Engineering, Payame Noor University (PNU), Tehran, Iran. Abstract Small scale and fragmented lands are one of the most important obstacles of agricultural development. Perhaps one of the best ways to deal with this problem is empowering the units of collective action. The rural production cooperatives are more accepted rather than the other units due to observing and applying the triple principles namely "ownership", "governorship" and "subjectivity". Nevertheless, these cooperatives with a ten year old, have not yet achieved the appropriate position in the production sector. The aim of this study is to analyze the managerial factors affecting the rural production cooperatives' success. The statistical society included all members of rural production cooperatives (RPC) of Chahar Mahal and Bakhtiari Province. Data were collected on a sample of 160 members of RPC by using probability proportionate to size sampling method through face-to-face interviews based on a comprehensive structured questionnaire. The success index in this research has measured using the SERVQUAL model that analyzes the gap between members' expectations and perceptions of services quality provided by RPC. Based on the results of Wilcoxon Test, the RPC of Chahar Mahal & Bakhtiari Province have met the members' expectations merely in the confident dimension and the mean of members' expectations is significantly higher than the mean of members' perceptions in other dimensions. The result of Kruskal-Wallis Test shows that the success of RPC is not same. The influential managerial factors on the success of RPC were determined by applying a multivariate regression model. Human and conceptual skills of managers, managers' belief on the importance of members' participation, educational level and managerial experiences of managers has the most impact on the success of RPC. Keywords: Rural Production Cooperatives, SERVQUAL model, Altman model, Katz's managerial skills. Introduction nearly half of the world's population live in rural areas, the majority of them are Smallholder farmers and their livelihood are funded through agriculture and its related activities (Food, Agriculture & Decent Work, 2014). Despite role of yeoman in employment, income generation for farmers, providing food for rural households and therefore political stability, especially in developing countries (Odulaja, 1996; Delgado, 1999), unfortunately, according to the World Food Program's report (2013) half of the world's hungry people were from smallholder farming communities (World Food Program, 2013). In fact, the smallholder farming due to the low efficiency and not using the up-date technology, not only prevent the increasing of quantity and improving the quality of production and increasing the farmers' income and welfare, but also lead to increasing the waste production, costs and wasting the water resources and human resources (Abdullahi, 1998). The experiences of different countries indicate the agricultural development is just possible through the reducing the number of production units and increasing the average of land areas in economic size, and forming the new methods of exploitation. These changes provide the good-crop, appropriate use of tools and machines and modern agricultural inputs, increasing of productivity and profits, and increasing of the performance of the agriculture sector (Abdullahi, 1998). In this regard undoubtedly the agricultural cooperatives have a special role in integrating these units and modification of patterns related to the exploitation systems of farming. These cooperatives incidentally have three principles such as: ownership, governance and empowerment, they are caused to increase bargaining power, access to competitive markets, investment in new markets, access to the required services and products, increasing the income, reducing the costs and risk management for Smallholder farmers (National Cooperative Business Association, 2005). This is caused that today in both of developed and developing countries the establishment of agricultural cooperatives are supported as a means to enabling the smallholder farmers and achieving economic development (Lerman & Parliament, 1991). Justification for continuing the support of the cooperative form of organization requires evaluation and monitoring the cooperative's performance. The performance of cooperatives is affected by several factors. For instance Vander Walt through a research on failed cooperatives in Africa indicated that the debility of management, lack of education, the conflict between members and lack of capital were the most important factors affecting cooperative's failure. Van Niekerk considered the debility of management as the most important reason for failure of cooperatives. Unal and colleagues (2009) in a review about fishing cooperatives in Turkey concluded that the management skills is one of the internal factors affecting on these companies's success. Nyoro (2007) Also studying the successful agricultural cooperatives in Kenya, indicated that the experience of managers, skills of directors board and employees and their training are correlated to the cooperatives' successfulness. Carlberg (2006) by studying the newly established cooperatives in America concluded that technical skills of managers, management experience, training of managers and to be them full-time, are as managerial factors on successfulness of these cooperatives. Gholifar & Baniasadi (2013) introduced the technical and human skills of managers are as internal-organizational factors affecting on the success of cooperatives in Zanjan province of Iran. Daneshvar kakhaki and colleagues (2010) also by studying the role of management in rural production cooperatives' performance in Kermanshah province achieved to this fact that the practical experience and specialized knowledge of managers are as affecting factors on the success of these organizations. The aim of this study is to assess the management factors affecting on the success of Rural Production Cooperatives (RPC) in Chaharmahal and Bakhtiari province. This province is located in the South West of Iran, and it is limited to Isfahan Province from North and East, to Kohkiluye and Boyer Ahmad province from south, from west to Khuzestan province and from north-west to Lorestan province. Center of this province is Shahrekord and according to the amount of rainfall and flow of rivers (Zayanderood and Karun rivers), agriculture is one of the main economic pillars especially in the East part of this province. The results of this study can help members to select the manager efficiently. The following sections include respectively theoretical framework, materials and methods, results and discussion, and conclusions. Theoretical framework In this study SERVQUAL satisfaction model was used to measure the success of cooperatives. This model is based on "Expectation confirmation theory" and for the first time in 1985 was introduced by Parasuraman and colleagues. Based on this theory, if the perceived performance is greater than expectations, the person will be satisfy and if the perceived performance is less than expectations, the person will not be satisfy (Jamal and Naser, 2002). Perceived quality Person satisfaction Expectations Figure 1. Model of the formation of customer satisfaction (Jamal and Naser, 2002) To measure satisfaction by this model, first service quality gap (Gap) was measured in five dimensions separately and then the overall index of satisfaction is made. These dimensions include: 1. Reliability: The ability of service providers to fulfill their commitments continuously and accurately 2. Responsiveness: The willingness and accountability of the service providers to support their clients 3. Empathy: The intimacy with the clients and understanding of their individuals’ feelings and problems 4. Assurance: The competence and skill of the staff of an organization to give confidence and trust to the clients 5. Tangibility: The tidiness and appearance of assets and property of an organization including its staff (Zeithaml & Bitner, 1996). The calculation of the Servqual score in a particular service quality dimension is based on the following formula: Gi= 1 ππ π ∑ππ=1 (πππ − πΌππ ) (1) where Gi is the quality gap (perceived service quality) of dimension i, Pij and Iij are the performance perception and the excellence expectation for item j in dimension i, respectively, and ni is the number of items in dimension i. Then SERVQUAL satisfaction index is calculated as follows: 1 5 G=5π ∑π π=1 ∑π‘=1 πΊππ‘ (2) where G is the overall Servqual score, Gkt is the Servqual score of customer k for dimension t, and M is the number of customers (Grigoroudis & Siskos, 2010). Also for measuring the managerial skills of managers, Katz model was used. Based on this model, having three skills: technical, human and Conceptual are necessary for effective management that each of them can progress separately (Katz, 1991). Technical skill involves process or technique knowledge and proficiency. Managers use the processes, techniques and tools of a specific area. Human skill involves the ability to interact effectively with people. Managers interact and cooperate with employees. (Alagheband, 1992). Conceptual skill involves the formulation of ideas. Managers understand abstract relationships, develop ideas, and solve problems creatively. Thus, technical skill deals with things, human skill concerns people, and conceptual skill has to do with ideas (Sayedabbaszadeh, 1994). Research Methodology The study as a survey method is a descriptive– correlation research. Statistical population consists of all members of RPC in Chaharmahal and Bakhtiari province (3715 persons). To determining the sample size, Cochran formula was used (160 persons) (Scheaffer, Mendenhall, & Lyman, 1990) and then the share of each company were determined by probability proportionate. For data gathering, 2 structured questionnaires were used for members and managers of companies. The questionnaire for members was designed in two parts. The first part of the questionnaire consisted of demographic information and in the second part the members' expectations and perceptions were examined separately. SERVQUAL standard questionnaire contains 22 paired questions that to compliance with these companies increased to 57 questions. The respondents were asked to rate their opinion on a scale of 5 levels of Likert (from number 1 for strongly disagree to 5 for strongly agree). In preliminary research, the questionnaire was tested by 30 persons and thus the necessary corrections were made in the questionnaire. Factor analysis was used to validate the questionnaire. Also to determine the appropriateness of the correlation matrix of the variables in the Factor Aanalysis, KMO test was used (Devaus, 1997), and the mentioned test showed that the variables chosen in this study was suitable and are also highly correlated with extracted factors. For determine the accuracy of the measurement of selected method for data gathering, Cronbach's alpha coefficient was used of. Table 1 shows the reliability and validity of the questionnaire and it shows that the modified fivedimensional SERVQUAL model is an appropriate tool to measure members satisfaction of the quality of provided services in the companies and can be used in similar cases. Table 1: reliability and validity of the questionnaire Factors Satisfaction Concept α 0. 877 Tangibility Reliability 0.902 Resposibility 0.863 Assurance 0.960 0.913 Empathy K.M.O = 0.825 sig 0.000 0.000 0.000 0.000 0.000 Perceptions Bartletts 1909.857 549.985 347.984 2357.494 1153.307 Bartletts= 16424.273 K.M.O 0.845 0.897 0.843 0.941 0.905 Sig= 0.000 α 0.793 0.743 0.681 0.761 0.762 sig 0.000 0.000 0.000 0.000 0.000 Expectations Bartletts K.M.O 150.173 0.780 167.934 0.640 43.691 0.764 1640.257 0.771 938.183 0.818 Cronbach's Alpha = 0.962 Also to measuring the skills cooperative’s executives, the triple managerial skills questionnaire was used (Moghimi, 2009) with adapting by cooperatives. After data gathering by using SPSS, data analyzing was performed and the frequency distribution tables were used to describing the gathered information. Nonparametric Wilcoxon test and Kruskal-Wallis test and multiple regressions were used to test the hypothesis. Results and Discussion The average age of the members and managers in the sample is respectively 55 and 49. Among the cooperative’s members, the lowest frequency belongs to young group and the highest frequency belongs to middle-aged category. Also among managers of companies, the most frequency is related to the middle-aged group and the least belong to the elder group. Regarding education level, among the members, most frequency is related to the school and elementary school and among the managers the highest frequency devoted to higher education group. The least frequency for members is related to Middle School, and for managers is illiterate group. About 22 percent of the members are illiterate and 41% have primary education. Obviously the low literacy of members can cause many problems in the companies. It is a fact that seems the most cooperatives are grappling with it in Iran (Bazrafshan et al, 1389). In terms of management experience, 49% of the managers have less than 5 years of experience. Based on the findings the average of managerial experience for managers is only 1.5 year. For comparing the member’s expectations and perceptions in each of the five dimensions the means comparison method was used. Because of non-normality of the data distribution was proved by using the Kolmogorov–Smirnov test and Shapiro-Wilk, the nonparametric Wilcoxon test was used for means comparison of expectations and perceptions. In Table 2, the perceptions and expectations of the companie’s members in each of the five dimensions and the gap between them as well as the significant level are shown. Table 2: Members' satisfaction of rural production cooperatives in different dimensions Expectations Quality Gap Z Sig Performance 3.3379 3.7490 -0.4111 -5.010 0.000 Tangibility 3.0438 3.5012 -0.4574 -4.448 0.000 Reliability 3.6253 4.2392 -0.6139 -6.263 0.000 Resposibility 3.2746 3.9097 -0.6351 -6.759 0.000 Assurance 3.3543 3.3794 -0.0251 -0.598 0.35 Empathy 3.3357 3.8521 -0.5164 -6.233 0.000 As table 2 shows, the difference between the mean of expectations and perceptions of members of RPC regarding cooperatives' performance is significant at %95 level. Therefore these companies could not meet the members' expectations. The data also shows the difference between mean of expectations and perceptions of cooperative's member in all dimensions of the model, except assurance dimension, are significant at 95% confidence level. Therefore it can be concluded that these cooperatives except in the assurance dimension, could not meet the expectations of the members in the other dimensions. In order to comparing the satisfaction of members in the RPC, the mean of members' expectations and perceptions regarding cooperatives' overall performance, and the gap between them was calculated and then were compared by using Kruskal-Wallis test. By using cluster analysis sorted cooperatives were categorized into three groups, successful, semi successful and unsuccessful cooperatives. Table 3 shows the mean of expectations and perceptions and the gap of services quality among three groups. Table 3: Comparing the rural production cooperatives regarding members' satisfaction Cooperatives types successful With an average successful unsuccessful Kruskal-Wallis Perceptions 4.3082 3.3170 1.8805 Sig= 0.000 expectations 3.7432 3.8346 3.5743 Services quality gap 0.565 -0.5176 -1.6938 Df= 12 As the results of Kruskal-Wallis test show, there is a significant difference between the mean of members' satisfaction regarding the overall performance at a 95 percent. In other words, the members' satisfaction of all cooperatives is not the same. In order to identify the factors affecting the success of the cooperatives, the multivariate regression model was used. Thus all of managerial factors that were probably influencing on the success of the cooperatives had entered into the regression equation and for to prevent errors in the calculation, some of the individual characteristics of members entered into the equation. After making the managerial triple skills, and managers' believe to participation of members in the affairs by Factor Analysis, the mean of indices in 13 cooperatives were Calculated separately. Then for each index, three categories was defined: weak, medium and strong. Afterward the first group or the weak level was considered as the base and the other levels were separately recoded by using binary method. Thus, for each index, two indices were made in medium and strong level. Then the normality of residual from regression model was confirmed by using Shapiro-Wilk test. Overall, the independent variables in regression equation are shown in Table 4. Table 4 independent variables in regression equation Company's contribution of income members Age of managers Education level of managers Experience of managers Weak (Basic) Medium Conceptual skills Strong Weak (Basic) Believed to participate Medium Strong Age of members Members's marital Status Education level of members Agricultural experience of members Weak (Basic) Technical skills Medium Strong Weak (Basic) Human skills Medium Strong After entering the variables in the regression equation, 6 variables had the greatest influence over dependent variable. The effects of each variable and the variance in the dependent variable that explained by the independent variablesare shown in Table 5. Table 5 Multivariate regression to identify factors affecting service quality gap variable C: Constant Strong human skill Strong Conceptual skill Strong believe to participation Educational levels Management experiences 2 R =0.804 B S.E.B Beta Sig Tolerance VIF 0.932 -0.940 -0.851 -0.527 -0.053 -0.068 0.158 0.135 0.095 0.082 0.012 0.011 -0.518 -0.475 -0.268 -0.212 -0.334 0.000 0.000 0.000 0.000 0.000 0.000 0.231 0.457 0.729 0.513 4.326 2.187 1.373 1.948 0.446 2.246 F=126.288 Sig=0. 000 According to Table 5, the significance of F at a 95% level, indicate the significant relationship between the independent variables and the dependent variable in the equation. In the obtained model, the determination coefficient of model (R2=0.804) represents 80% of linear change of RPC success variable by the independent variables of the model. The negative regression coefficients indicate that whatever the independent variables increase, service quality gap that is resulted from the difference between expectations and perceptions of members, is reduced, and in other words, the cooperatives have meet the members' expectations mostly. Discussion and suggestions The findings show that the RPC have not been successful in meeting their members' expectations. Also the results show that the amount of success for cooperatives with strong human skills is 0.94 units more than the amount of success for cooperatives with weak human skills (basic level). As based on the definitions, human skill is an ability to create the understanding and cooperation among members, and also given that the cooperatives have been established on the basis of members' participation and their durability is dependent on members' participation, no doubt that human skill of managers is important for the success of cooperatives. In fact, human skills of managers effects on the success of cooperatives directly and indirectly. According to the definition of success index in this study that it is considered by member’s satisfaction, stronger human skills of managers cause to forming a more friendly condition in the mentioned cooperatives. As a result this leads to a higher satisfaction and a greater absorption of members regarding cooperation and participation. Also, the amount of success of cooperative managers with strong Conceptual skills is 0.851 units more than the success of cooperative managers with poor Conceptual skills (basic level). There was not a significant correlation between the amounts of success for cooperatives with technical skills of managers. According to studies, in the recent years the rural cooperative organization of Chahar Mahal and Bakhtiari province has fulfilled a series of training course on accounting, budgeting, marketing, and insurance & tax laws and made the cooperatives' managers to participate to the mentioned courses. As questionnaires were completed in the self-reported manner, the managers who had attended these courses reported the technical skills as strong, while the application of the mentioned theory in training courses need to gain experience and these managers have not enough experience. In addition, the findings indicate that for a unit increase in the level of education and in the managerial experience of managers, the success rate of the cooperatives increase to 0.053 and 0.068. In fact, the management experiences greatly enhance the triple skills of managers, and enable them to overcoming difficulties and teach them to motivate the members and help them to advance their mutual goals. According to the results, the amount of the success for cooperatives with managers believe to members' participation in a strong level, is 0.527 units more than the amounts of the success for cooperatives with managers believe to members' participation in a weak level (basic level). As mentioned, although about 40% of managers of cooperatives have a higher education, but about 30% of them are with a primary and lower level of education. Perhaps the root of this difficulty is in the selection of directors' board that the main of them are with a low level of literacy. In fact the selection of directors board among the members with a low level literacy cause to reduce the power of decision making for accurate affairs as well as risk power in these cooperatives and prevent the economic competence of these organizations with the other economic entrepreneurs. So it is necessary to government encourages the young and educated persons to participate in cooperatives by amendment the laws of cooperative section, and establishing the essential infrastructures to empower the cooperatives' members. References Abdollahi, M. (1998). Farming Systems. Deputy of Extension and Farming Systems, Ministry of AgriJahad: Tehran. Alaghehband, A. (1992). Theoretical Foundations and Principles of Educational Administration, nashrebesat: Tehran. Allan, Y. L. S. (2003). Customer satisfaction measurement practice in Taiwan hotels, Int. J. Hosp. Manage, 23(4): 397–408. Bazrafshan, J., & Shahin, H. (2010). The pathology of rural production cooperative in Iran. Fourth International Congress of the Islamic World Geographers. 14-16 April 2010: zahedan. Carlberg, J., Clement, E. W., & Rodney, B. H. (2006). Success Factors for New Generation Cooperatives. Int. Food. Agri. Bus. Man. J, 9 (1): 62-81. Daneshvar kakhaki, M., aghel, H., Hatef, H., & sarvari, A. (2009). The role of management in Performance Rural production cooperatives in Khorasan Razavi Province. Journal of Rural Development Studies, 12 (4):23-37. Delgado, C. (1999). Sources of growth in smallholder agriculture in sub 14-14. Saharan Africa: The role of vertical integration of smallholders with processors and marketers of high value-added items. Agrekon, 38: 165-189. De vaus, D. (1997). Surveys In Social Research, Translation: Nayebi, H., nashreney: Tehran. Food, Agriculture & Decent Work. (2014). Decent Employment for Agricultural and Rural Development and Poverty Reduction, Online: http://www.fao-ilo.org/ilo-dec-employ/en/?no_cache=1 Gholifar, E., & Baniasadi, M. (2013). Factors the Success of Rural Cooperatives in Zanjan Province from Managers perspective: Application of AHP Method, Iran Agricultural Extension and Education Journal, 8(1):77-87. Grigoroudis, E., & Siskos, Y. (2010). Customer satisfaction evaluation methods for measuring and implementing service quality,London: Springer. Jamal, A., & Naser, K. ( 2002). Customer satisfaction and retail banking : an assessment of some of the key antecedents of customer satisfaction in retail banking, Int. J. Bank. Market, 20(4): 146-160. Katz, R. L. (1991). Skills of an effective administer, Harvard business review: Boston. Lerman , Z., & Parliament, C. (1991). Size and industry effects in the performance of agricultural cooperatives. Agric. Econ, 6: 15-29. Moghimi, M. (2009). Organization and Management, a Research Approach, Termeh: Tehran. Nyoro, J. K. and Ngugi, I. K (2007), “A qualitative analysis of success and failure factors of agricultural cooperatives in central Kenya”. PP. 13-33. In: C. B. Barret, A. g. Mude, J. M. Omiti (Eds.), Decentralization and the social economics of development: lessons from Kenya, Vol. 2 Part 1. Wallingford [u.a.]: CABI. National Council of Farmer Cooperatives (NCFC). (2005). About Co-ops, On line: http://www.ncfc. org/about-ncfc/about-co-ops Odulaja, A., & Fassil, G. (1996). Modelling agricultural production of small-scale farmers in subSaharan Africa: A case study in western Kenya. Agric. Econ, 14: 85-91. Parasuraman, A., Zeithaml, V.A., & Berry, L.L. (1985). A conceptual model of service quality and its implications for future research. J. Marketing, 49: 41-50. Pezeshki Rad, A., & kiani mehr, H. (2001). The role of rural production cooperatives in improving the technical and economic Wheat Farmers city of Sabzevar. Journal of Agricultural and Development Economics, 9 (34): 343-362. Scheaffer, R., Mendenhall, W., & Lyman, O. (1990). Elementary survey sampling, Duxbury Press: Michigan. Seyed Abbaszadeh, M. (1995). Generalities Educational Management, Urmia University: Urmia Unal, V. U., Guclusoy, H., & Franquesa, R. (2009). A comparative study of success and failure of fishery cooperatives in the Aegean, Turkey. J. Appl. Ichthyol, 25 (4):394–400. Vander Walt, L. (2005). The resuscitation of the cooperative sector in South Africa. Paper presented at the International Co-operative Alliance XXI International Cooperative Research Conference, Cork, Ireland, August 11-14,2005. Van Niekerk, J. (1988). Co-operative theory and practice, Promedia Publications: Pretoria. World Food Programme (WFP). (2013). Who are the hungry, On line: http://www.wfp.org/hunger /who-are. Zeithaml, V. A., & Bitner, M. J. (1996). Services marketing. New York: Mc:GrawHill.