Document Type : Research Paper
Authors
1
Associate Professor, Entrepreneurship Research Group, Strategic Studies of Cooperation, Development and Social Welfare Institute, Golestan University, Gorgan, Iran.
2
Department of Business Management, Shargh-e Golstan Institute of Higher education, Gonbad-e Kavous City, Golestan Province
3
MA of Business Management, Faculty of Management, University of Shargh-e Golestan, Gonbad, Iran
10.22111/innoeco.2024.48999.1096
Abstract
Resistance to innovation is the overt and hidden activities of employees and work groups towards planned organizational changes. This phenomenon is similar to the concept of heredity in experimental sciences, i.e. the tendency of objects to maintain their previous state. One of the documented achievements of organizational behavior management is that the organization and its members resist the phenomenon of organizational change. From one point of view, this work is positive and can lead to stability and prediction of behavior. If there was no resistance to the phenomenon of change, organizational behavior could have destructive characteristics. Resistance to change can be one of the sources of conflict and disagreement. Also, standing against the phenomenon of change is not necessarily done in standard ways. People can show their resistance in an obvious, implicit, indirect or immediate way.This research has been conducted with the aim of investigating the effect of psychological and functional barriers on resistance to innovation with mediating role of managerial and innovation capability in Iran's Pegah company. The research is applied in terms of purpose and survey type in terms of descriptive method. The statistical population of this research is 340 managers of Pegah company all over Iran, of which 181 people were selected by simple random method as the sample size. To determine the reliability of the questionnaire, Cronbach's alpha, extracted variance and composite reliability indices were used, and to determine the validity of the questionnaire, convergent and divergent validity were used. To analyze the data at a descriptive level using SPSS statistical software and at an inferential level, the statistical technique of structural equation modeling was used using Smart PLS software. The obtained results show the confirmation of eight hypotheses and the disconfirmation of four hypotheses.
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