Mutual Relations among Rural organizations for acheiving Sustainable Development in Kafr El- Sheikh Governorate

Document Type : Original Article

Authors

Agricultural Economic Dept., Rural society, Faculty of Agriculture, Kafr El-Skeikh Univ.,

Abstract

The main objective of the research was to identify the degree of Interorganizational mutual relations among rural organizations in Kafr-El-Sheikh Governorate, and to investigate the correlates and determinants of this degree. The study has adopted a conceptional framework that views organizational mutual relations as a multi–dimensional concept, consists of organizational sharing, joint planning, and inter-organizational interaction. Nineteen variables were postulated to be the determinants of the dependent variable and each of its dimension. Three districts in Kafr El-Sheikh Governorate were selected. Random selection of 32 villages from the selected districs was drawn. A questionnaire form was used to collect data. Several statistical techniques were utilized to analyze the data.The findings revealed that, almost two third of the rural social organizations (60%) fall in the lowest category of the interorganizational mutual relations composite index.The scores could be low due to the lower scores of its constituent dimensions.The nineteen independent varables combined together correlated with the Inter-organizational mutual relations scores with a multiple correlation coefficient (R) of 0.880 and explain about 77.5 % of the total variance in the inter- organizational mutual relations composite index. Fourteen variables made significant unique contributions to the regression equation. They ranked according to their relative importance using Beta scores as fellow: perception of interdependence work, perception of pressures and threats, perception of collaborative action, intera-organizational communication, human resources, perception of organizational goals, standard of living, manegar's age, organizational complexity, educational level, job satisfaction, external decentralization, simulation in coordination relations ,and optimum use of resources.

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History

  • Receive Date: 17 December 2018
  • Revise Date: 06 January 2019
  • Accept Date: 30 January 2019

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