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    A research on determining the degree of risk by using ResNet
    (ISRES Publishing, 2023) Tepe, Serap; Eti, Serkan
    Risk analysis, considered one of the most crucial building blocks of occupational safety with a multidisciplinary approach, is an area that requires quick solutions with proactive methods, has high operational costs, and a low error tolerance level. Utilizing image classification and enabling learning is the main goal of this study to achieve objective outcomes in risk analysis, reduce costs, increase efficiency, and ensure standardization. For the proposed paper, 325 labeled images were collected from the field, standardized to a resolution of 224x224, and a separate file was created for each category after labeling. Python's TensorFlow Keras libraries were used, and the model employed was a semi-learned ResNet model. While 501,765 parameters were learned, 23,587,712 parameters were trained from the data. The total parameter count was 24,089,477. Categorical cross-entropy was used as the loss function, Adam optimization algorithm was preferred for parameter optimization, and the Accuracy Rate metric was used to evaluate the model's quality. The learning success of the model reached 58% in 100 steps, and the maximum accuracy rate observed was determined to be 67%. Traditional risk analysis methods rely on statistical analysis of historical data to obtain results, while machine learning-based approaches allow for the evaluation of complex and multidimensional data. Machine learning-based image classification methods assist in effectively performing risk analysis in situations involving visual information. These techniques make valuable contributions to identifying and managing potential risks in different sectors. As research and applications in this field continue to grow in the future, the role of image classification in risk analysis will gain even more importance.
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    A study on strategy development for e-commerce businesses with clustering and spherical fuzzy analytic hierarchy process
    (Niğde Ömer Halisdemir University, 2022) Tepe, Serap; Eti, Serkan
    E-Commerce is a shopping method that allows trading or placing an order for any product or service on a website with various payment methods. This method is gaining importance day by day and increasing its market share. Although the reasons for choosing e-commerce for consumers are different from each other, in general, criteria such as time, payment options and individualization affect preferences. In this study; e-commerce sites were compared, and 14 e-commerce sites were determined as alternatives based on expert opinions. These identified e-commerce sites were evaluated in terms of criteria such as brand image & reliability, campaign, cargo speed, packaging, payment options, personnel, call center services and functionality of the application. In the first part of the study, two clusters of e-commerce sites were created using cluster analysis. These clusters are grouped as general service e-commerce sites and specific service e-commerce sites. Thus, two homogeneous groups were formed from the large heterogeneous group. In the second part of the study, the criteria were compared and sorted using the spherical fuzzy Analytic Hierarchy Process (AHP) method.
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    Do stakeholder relationship management and employee as a stakeholder behavior affect firm performance? Research in telecom companies
    (International Balkan University, 2020) Adıgüzel, Zafer; Tepe, Serap; Erdil, Oya
    The aim of the company in today's business world and in any sector is to reach the goals of increasing firm performance. Businesses are expected to adapt to constantly evolving and changing technologies and to offer their products or services to consumers effectively by using communication channels. These changes reveal that businesses should manage stakeholder relations carefully and smoothly. Basically, the attitudes and behaviors of employees affect the performance of businesses, which is reflected in consumer behavior. A single decision of the management structure in an enterprise can change the lives of stakeholders, either positively or negatively. The basis of the rapid transformation of the institutions is the impact of both industry 4.0 and subsequent industry 5.0 created by changes in technology, and the continuity of the wishes and needs of stakeholders. Stakeholder management theory is important for the sustainability and performance criteria of organizations. For this reason, the issue that organizations should consider firstly can respond to the demands and needs of stakeholders. When stakeholder relationship management and stakeholder behaviors areanalyzed, it can be explained that they have important effects on organizations. This paper was conducted on 424 white-collar officers and senior unit managers in various departments in the telecommunications sector concerning the subject of the effects of behaviors on relationship management. As a result of the analysis of the data obtained, it can be explained that all dimensions other than the coordination dimension of the stakeholder relationship management positively affect firm performance. At the same time, all aspects of stakeholder behavior have a positive effect on firm performance, except for employee engagement.
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    Evaluation of psychosocial risk factors encountered for energy sector employees by MAIRCA method
    (Springer Science and Business Media Deutschland GmbH, 2024) Tepe, Serap; Eti, Serkan; Moda, Haruna Musa; Kahraman, Zeyneb
    Psychosocial risk factors faced by those working in the energy sector is an important issue that can cause negative effects. These risk factors can adversely affect both the physical and mental health of employees and thus have negative effects on work efficiency and employee satisfaction. In this study, the renewable energy sector was evaluated in terms of psychosocial risk factors it presents to its employees. These risks include factors such as heavy workload, constant work demands, and time pressure. In addition, long working hours, irregular work schedules, and job instability are other factors that negatively affect the psychosocial health of employees. Psychosocial risks such as stress, burnout, job dissatisfaction, and job instability can negatively affect employee motivation and performance. Therefore, it is necessary to consider proactive measures aimed at prevention and management of psychosocial risks in the workplace. Reducing psychosocial hazards can be achieved by taking proactive measures around accommodating employees’ needs for frequent breaks and relaxation periods, helping them manage their workload and time, and setting up work schedules. Further assessment with regards prevailing psychosocial risk factors associated with working in the energy sector should be considered and appropriate measures taken for the health and work efficiency of employees. This will bring about a healthier and more productive work atmosphere in the workplace as well as improve the well-being of the employees. In the study, psychosocial risk factors in energy sector were introduced, and these risk factors for different energy sectors were evaluated using the MAIRCA method.
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    Evaluation of psychosocial risks affecting academician using the sine trigonometric pythagorean fuzzy (st-pfn) dematel method
    (2024) Tepe, Serap; Çabuk, Ahmet; Eti, Serkan; Mertoğlu, Bülent
    BACKGROUND:In the realm of academia, psychosocial risk factors play a pivotal role, exerting considerable influence on the well-being and performance of scholars. Factors such as excessive workloads, unrelenting performance expectations, time constraints, and competitive atmospheres can detrimentally affect their health and overall quality of life. Moreover, issues like social isolation, work-life imbalance, and academic anxiety further compound these challenges, impeding academic progress and success. OBJECTIVE:Thus, it is imperative to identify, mitigate, and manage psychosocial risk factors effectively to foster a conducive academic environment conducive to productivity and achievement. METHODS:This study employs a novel approach, integrating expert opinions and utilizing sine trigonometry Pythagorean fuzzy numbers to ascertain the degrees of importance and rank psychosocial risk factors through the DEMATEL method. This methodology presents a unique contribution to existing literature, offering fresh insights into this critical area of study. RESULTS:Evaluation of 25 factors reveals burnout, job dissatisfaction, precarious working conditions, lack of trust, unfair treatment, job insecurity, and limited developmental opportunities as primary concerns, underscoring the multifaceted nature of these challenges. CONCLUSIONS:In the occupational sphere, active participation from all stakeholders in addressing psychosocial risks is paramount for effective problem resolution. It is incumbent upon parties involved to discharge their duties, foster collaboration, enhance working conditions, ensure equity, and facilitate avenues for professional growth. Each identified risk factor addressed and preempted translates into a tangible reduction in workplace accidents and occupational ailments, underscoring the tangible benefits of proactive risk management.