İktisadi ve İdari Bilimler Fakültesi / Faculty of Economics and Administrative Sciences

Permanent URI for this collectionhttps://hdl.handle.net/11727/1399

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    Effect of Festival Satisfaction on Destination Loyalty through Destination Overall Image: The Case of Alaçatı Herb Festival
    (ISTANBUL BUSINESS RESEARCH, 2024-12) Ozkan, Ayse Arslan; Yildiz, Erkan
    This study examines the relationships among festival success factors, festival satisfaction, destination image and destination loyalty. Based on the literature review, festival success factors were identified and a model was developed to measure the direct impact of these factors on destination loyalty and the impact of these factors through the overall image of the destination. Data were collected during the 11th Ala & ccedil;at & imath; Herb Festival held between March 24-27, 2022. The data obtained were analyzed with the structural equation modeling. According to the results of the study, the program, festival area, staff, souvenirs, and information dimensions of festival success factors affect festival satisfaction. The effects of convenience and food dimensions on festival satisfaction were statistically insignificant. The festival satisfaction and destination overall image variables have positive effects on destination loyalty, and the festival satisfaction variable has positive effects on the destination overall image. The destination overall images an integral partial mediating role in the relationship between festival satisfaction and destination loyalty.
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    Evaluating Efficiency of Cloud Service Providers in Era of Digital Technologies
    (ANNALS OF OPERATIONS RESEARCH, 2024) Azadi, Majid; Toloo, Mehdi; Ramezani, Fahimeh; Saen, Reza Farzipoor; Hussain, Farookh Khadeer; Farnoudkia, Hajar
    The rapid growth of advanced technologies such as cloud computing in the Industry 4.0 era has provided numerous advantages. Cloud computing is one of the most significant technologies of Industry 4.0 for sustainable development. Numerous providers have developed various new services, which have become a crucial ingredient of information systems in many organizations. One of the challenges for cloud computing customers is evaluating potential providers. To date, considerable research has been undertaken to solve the problem of evaluating the efficiency of cloud service providers (CSPs). However, no study addresses the efficiency of providers in the context of an entire supply chain, where multiple services interact to achieve a business objective or goal. Data envelopment analysis (DEA) is a powerful method for efficiency measurement problems. However, the current models ignore undesirable outputs, integer-valued, and stochastic data which can lead to inaccurate results. As such, the primary objective of this paper is to design a decision support system that accurately evaluates the efficiency of multiple CSPs in a supply chain. The current study incorporates undesirable outputs, integer-valued, and stochastic data in a network DEA model for the efficiency measurement of service providers. The results from a case study illustrate the applicability of our new system. The results also show how taking undesirable outputs, integer-valued, and stochastic data into account changes the efficiency of service providers. The system is also able to provide the optimal composition of CSPs to suit a customer's priorities and requirements.