Browsing by Author "Okumus, Fevzi"

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Citation - WoS: 37
Citation - Scopus: 38
Does Self-Congruity or Functional Congruity Better Predict Destination Attachment? a Higher-Order Structural Model
(Elsevier, 2022) Usakli, Ahmet; Kucukergin, Kemal Gurkan; Shi, Da; Okumus, Fevzi; Tourism Management; 05. School of Business; 01. Atılım University
Although self-congruity (SC) theory proposes that private SC and public SC constitute the two higher-order di-mensions of SC, extant research in tourism has not investigated these higher-order SC types. Therefore, by validating private SC and public SC as higher-order dimensions of SC, this study aims to explain the relationships among SC, functional congruity (FC), and place attachment in the context of tourism destinations. A higher-order structural model was developed by measuring destination private SC, destination public SC, and destination attachment as reflective-formative higher-order constructs, whereas destination FC as a reflective-reflective higher-order construct. The data were collected from a sample of 430 domestic and foreign tourists visiting Dalian, Northeast China. To analyze the research model, partial least squares structural equation modeling was performed. According to the results, destination attachment was found to be positively influenced by both destination private SC and public SC, as well as destination FC. However, in contrast to the literature that argues FC more strongly influences consumer behavior than SC, by applying a new methodology developed by Rodri-guez-Entrena et al. (2018), this study provides evidence that destination private SC, destination public SC, and destination FC are all approximately equally important in predicting destination attachment. Furthermore, both destination private SC and public SC positively influence destination FC, which supports 'the biasing effect of SC' on FC. The study supports the partial mediation role of destination FC on the relationship between destination SC and destination attachment. Implications for theory and practice are discussed within the context of destination marketing.
Citation - WoS: 73
Citation - Scopus: 107
Effect of Social Media Sharing on Destination Brand Awareness and Destination Quality
(Sage Publications Ltd, 2020) Dedeoglu, Bekir Bora; van Niekerk, Mathilda; Kucukergin, Kemal Gurkan; De Martino, Marcella; Okumus, Fevzi; Tourism Management; 05. School of Business; 01. Atılım University
This study examines the effect of social media sharing on tourism destination brand awareness and destination natural and service quality and also examines the moderating roles of country of origin (COI; macro and micro) image on destination natural and service quality. Data were collected from 568 domestic and international tourists who have visited Alanya, Turkey. Relationships in the study were examined through structural equation modeling. As one of the components of social media sharing, participant sharing positively affects destination brand awareness, whereas any significant effect of nonparticipant sharing on destination brand awareness was not found. Destination brand awareness positively influences tourist perceptions of both destination service quality and destination natural quality. COI image moderates most of the relationships.
Citation - WoS: 74
Citation - Scopus: 90
Industry 4.0 Technologies, Sustainable Operations Practices and Their Impacts on Sustainable Performance
(Elsevier Sci Ltd, 2023) Yavuz, Oguzhan; Uner, M. Mithat; Okumus, Fevzi; Karatepe, Osman M.; Business; 05. School of Business; 01. Atılım University
Using a natural resource-based view and technology-organization-environment framework as the theoretical focus, this paper develops and tests a research model in which sustainable operations practices mediate the impact of industry 4.0 technologies on sustainable performance. The model also tests sustainable operations practices as a moderator of the effect of industry 4.0 technologies on sustainable performance. Data obtained from 302 participants in Turkey's technology development regions were utilized to gauge the aforesaid linkages via partial least squares structural equation modeling. As predicted, sustainable operations practices mediate the influence of industry 4.0 technologies on sustainable performance. Contrary to the study prediction, sustainable operations practices do not significantly moderate the impact of industry 4.0 technologies on sustainable performance. Theoretical and practical implications are discussed and future research directions are offered.