PurposeThis study explores the effect of organizational identification (OID) on organizational innovativeness (OINN) in universities and higher education institutions (HEIs) of Iran, mediated by organizational risk-taking capability (ORTC).Design/methodology/approachA questionnaire was designed and distributed in universities and HEIs in three geographical regions of Iran. The sample includes deans of faculties, their assistants, and heads of departments, and heads, assistants, and employees of research and education offices. The authors determined the reliability and validity of the scales and used structural equation modeling to develop the conceptual model and to test hypothesized relationships.FindingsThe results show that the OID has a positive impact on the ORTC and OINN in universities and HEIs of Iran. Furthermore, the ORTC played a partially mediating role between the OID and OINN.Research limitations/implicationsThis study can lead to a theory of the effect of the OID on the OINN in higher education (HE) system, mediated by the ORTC. It can support practitioners working in the HE system as they create a climate that welcomes uncertainties, ambiguities, failures and mistakes in a risk-taking spirit and develop an innovation culture open to new things and generate ideas. Such a culture is rooted in a distinct organizational identity. The researchers recommend that the promising results of this study be pursued in a larger sample and also in universities and HEIs of other countries.Originality/valueThis study develops an understanding of the role of the OID with the university in fostering, enhancing and embedding the ORTC into university, and as a result, promoting its innovativeness culture.
This research brings a practical approach to the issue of the level of satisfaction from residents in tourist destinations by using three attractive methods together. After reviewing the theoretical foundations and the meta-synthesis method in identifying indicators, fuzzy Delphi was used for screening, fuzzy SWARA (stepwise weight assessment ratio analysis) for weighting, and fuzzy EDAS (evaluation based on distance from average solution) for 16 very important tourism areas in Iran. Six important factors (economic, cultural, environmental, perceptual, social, and health) along with 42 important criteria were identified in the meta-combination method, while also obtaining the total weight of the indicators. Finally, the sensitivity analysis of the model is performed and practical suggestions presented.
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