Yazar "Erdogan, Ali Mert" seçeneğine göre listele

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    Examining hotel characteristics and facilities influencing customer satisfaction using decision tree analysis
    (Emerald Group Publishing Ltd, 2024) Pisirgen, Ali; Erdogan, Ali Mert; Peker, Serhat
    PurposeThis study aims to identify the key hotel characteristics and facilities that significantly influence customer satisfaction based on Google review scores. By applying decision tree analysis, the research seeks to determine which aspects, such as service quality, hotel facilities and location, play pivotal roles in shaping customer experiences. The objective is to provide professional with practical recommendations to improve service quality and cultivate enduring customer loyalty.Design/methodology/approachThe research used a data set collected from Hotels.com, featuring various characteristics of 802 hotels in Izmir Province. Decision tree analysis was conducted using Classification and Regression Tree algorithm to explore the relationship between hotel characteristics and facilities with customer satisfaction.FindingsThe analysis revealed that the number of rooms is the primary factor influencing hotel ratings, with proximity to the airport and hotel classification also being significant. Additional factors such as public transportation distance and laundry services were important, while facilities such as ATMs, beach access and spas showed no significant impact on customer satisfaction. These findings emphasize the importance of core facilities and accessibility.Originality/valueThis study contributes to the literature by offering a novel approach, using decision tree analysis to assess hotel customer satisfaction with structured data. It provides practical implications for hotel managers, enabling them to make data-driven improvements to achieve customer satisfaction. The integration rules created by the decision tree model into hotel management systems can enhance operational efficiency and competitive advantage in the hospitality industry.
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    Process Selection for RPA Projects with MDCM: The Case of Izmir Bakircay University
    (Springer Science and Business Media Deutschland GmbH, 2024) Erdogan, Ali Mert; Dogan, Onur
    Robotic Process Automation (RPA) has emerged as a powerful technology for streamlining business operations by automating repetitive tasks. It is important for public universities as it helps streamline administrative processes, improve operational efficiency, and free up staff resources, allowing the institutions to focus more on delivering quality education and enhancing the overall student experience. However, selecting the right processes for RPA implementation poses a challenge due to the multitude of criteria involved. To address this issue, this paper proposes a multi-criteria decision-making (MCDM) approach for RPA process selection. The objective of this research is to develop a systematic methodology that enables decision-makers to evaluate and prioritize RPA processes based on multiple criteria, such as process complexity, ROI, and strategic importance. The proposed methodology incorporates two MCDM techniques, including the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), to assist decision-makers in effectively assessing and ranking alternative RPA processes. AHP helps determine the relative weights of criteria, while TOPSIS ranks alternatives based on their similarity to an ideal solution. A case study was conducted to validate the effectiveness of the proposed methodology. Empirical results showed that “Campus Event Management” is the most suitable alternative for RPA implementation, followed by “Campus Facility Management” and “Library Management”. In the study, sensitivity analysis was also performed by changing the weight values given for three different experts. The findings of this research contribute to the field of RPA process selection by providing a structured framework that facilitates the evaluation and prioritization of RPA processes. The proposed methodology empowers organizations to maximize the benefits of RPA implementation by selecting processes that align with strategic goals, enhance operational efficiency, and optimize resource utilization. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.