Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/3

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Now showing 1 - 20 of 141

Citation - WoS: 23
Citation - Scopus: 31
Activity-Based Costing Approach in the Measurement of Cost of Quality in Smes: a Case Study
(Routledge Journals, Taylor & Francis Ltd, 2013-04) Ozkan, Serdar; Karaibrahimoglu, Yasemin Zengin
Since the 1950s, a considerable amount of attention has been given on the cost of quality (CoQ) in theory and in practice. Overall, it is argued that a precise measurement of the CoQ requires a well-established accounting system that provides accurate cost information. However, in the literature, it is generally considered that traditional cost accounting methods do not provide accurate cost data for the measurement of quality costs. Therefore, the aim of this study is to explore the role of activity-based costing (ABC) in supporting the measurement of CoQ in small and medium-sized enterprises in order to discuss the results of implementation, its benefits and drawbacks. Overall, it was found that the use of ABC in the CoQ measurement provides the organisation with the means to determine both value-added and non-value-added quality-related activites and to detect improvement opportunities in the production process.
Citation - WoS: 45
Citation - Scopus: 56
An Adaptive Tabu Search Approach for Buffer Allocation Problem in Unreliable Non-Homogenous Production Lines
(Pergamon-Elsevier Science Ltd, 2012-07) Demir, Leyla; Tunali, Semra; Eliiyi Türsel, Deniz
The buffer allocation problem, i.e. how much buffer storage to allow and where to place it within the line, is an important research issue in designing production lines. In this study, a novel adaptive tabu search approach is proposed for solving buffer allocation problem in unreliable and non-homogeneous production lines. The objective is to maximize the throughput of the line, which is constrained by the capacity of each buffer space and also the total buffer capacity to allocate to these spaces. Besides proposing a new strategy to tune the parameters of tabu search adaptively during the search, an experimental study is carried out to select an intelligent initial solution scheme among three alternatives so as to decrease the search effort to obtain the best solutions. The performance of the proposed approach is evaluated by computational tests and very promising results are obtained. (C) 2011 Elsevier Ltd. All rights reserved.
Agile Approach as an Answer To Internal Uncertainty: a Case Study in Large-Scale Manufacturing
(Inderscience Publishers, 2023) Özgen, A.; Gençer, Mehmet
The success of agile product development in the software industry has attracted the attention of new product development (NPD) community. Agile approach has the potential to overcome the uncertainty that dominates today’s business conditions. However, there is little research regarding the performance of agile practices, most of which were developed in the software industry, in other contexts. Through a case study methodology, we explore how agile practices address organisational uncertainty in a large-scale manufacturing firm. The study, based on semi-structured interviews, covers two NPD projects with a total of 12 sub-teams. Our results indicate that in a large organisation, internal sources of NPD uncertainty dominate external sources. The three factors in organisational uncertainties are interdependency, team volatility and distributed teams. Furthermore, we develop a model to explain how various agile practices can provide the NPD teams with capabilities to mitigate these organisational uncertainties. Copyright © 2023 Inderscience Enterprises Ltd.
Citation - Scopus: 1
Aging and the Screen: Toxic Commodification of the Female Body in the Substance (2024)
(University of Rhode Island, 2025) Uyug Sengun, D.; Aydın, T.M.; Ozdamar Ertekin, Z.
Citation - WoS: 10
Citation - Scopus: 11
An Analysis of the Sustainability Disclosures of Textile and Apparel Companies in Turkey
(Ege Univ, 2019-09-30) Saygili, Ebru; Saygılı, Arıkan Tarık; Yargi, Seher Goren
The aim of this study is to discuss recent sustainability developments in the textile industry and to explore the disclosures of textile and apparel companies in Turkey. The economic, environmental and social sustainability disclosures of 34 companies were analyzed in relation to Global Reporting Initiative (GRI) standards. The results of the analysis revealed that the most frequently mentioned sustainability issues were related to employees, water, product, market, supplier, education, economic, energy and waste. A majority of companies provided economic disclosures about economic performance and anti-competition; environmental disclosures about water and effluents and energy; and social sustainability disclosures about training, education, employment, health and safety, diversity and equal opportunity, marketing and labeling.
Citation - WoS: 4
Citation - Scopus: 6
Anti-Consumption of Public Services: Vacci(not)ion for Swine Flu
(Emerald Group Publishing Ltd, 2011-03-29) Demirbağ Kaplan, Melike; Kaplan, Yusuf Cem
Purpose - Anti-consumption is a new domain of research that deals with why individuals avoid consumption of particular products. To date, research in this area is only confined to the rejection of goods, with no evidence from the services industry. The purpose of this paper is to explore the extent of anti-consumption behaviour for public health services, by deriving data from Swine Flu vaccination resistance in Turkey. Design/methodology/approach - The research employs a factor analysis method based on data collected from 519 individuals. Findings - Findings suggest that there is a strong anti-consumption attitude of the Turkish public towards the service, and a major reason for avoidance was moral incompatibility, such that the public believed that the vaccination served the interests of pharmaceutical companies and the government. The findings also reveal that all the factors previously mentioned in the literature may be involved in the anti-consumption of public health products. Originality/value - This study suggests that public products, including public health services, are highly subject to anti-consumption movements, and policies involving such products should also be considered from this perspective in order to provide an increased welfare for the public.
Citation - WoS: 2
Citation - Scopus: 4
Application of a Taguchi-Based Neural Network for Forecasting and Optimization of the Surface Roughness in a Wire-Electrical Machining Process
(Inst Za Kovinske Materiale I In Tehnologie, 2012) Kazancoglu, Yigit; Esme, Ugur; Kulekci, Mustafa Kemal; Kahraman, Funda; Samur, Ramazan; Akkurt, Adnan; Ipekci, Melih Turan
Wire-electrical-discharge machining (WEDM) is a modification of electro-discharge machining (EDM) and has been widely used for a long time for cutting punches and dies, shaped pockets and other machine parts on conductive materials. WEDM erodes workpiece materials by a series of discrete electrical sparks between the workpiece and an electrode flushed or immersed in a dielectric fluid. The WEDM process is particularly suitable for machining hard materials as well as complex shapes. In this paper, a neural network and the Taguchi design method have been implemented for minimizing the surface roughness in a WEDM process. A back-propagation neural network (BPNN) was developed to predict the surface roughness. In the development of a predictive model, machining parameters of open-circuit voltage, pulse duration, wire speed and dielectric flushing pressure were considered as the input model variables of the AISI 4340 steel. An analysis of variance (ANOVA) was used to determine the significant parameter affecting the surface roughness (R-a). Finally, the Taguchi approach was applied to determine the optimum levels of machining parameters.
Citation - WoS: 35
Citation - Scopus: 36
Balancing and Scheduling of Flexible Mixed Model Assembly Lines
(Springer, 2013-02-19) Ozturk, Cemalettin; Tunali, Semra; Hnich B.; Örnek, Mustafa Arslan
Mixed model assembly line literature involves two problems: balancing and model sequencing. The general tendency in current studies is to deal with these problems in different time frames. However, in today's competitive market, the mixed model assembly line balancing problem has been turned into an operational problem. In this paper, we propose mixed integer programming (MIP) and constraint programming (CP) models which consider both balancing and model sequencing within the same formulation along with the optimal schedule of tasks at a station. Furthermore, we also compare the proposed exact models with decomposition schemes developed for solving different instances of varying sizes. This is the first paper in the literature which takes into account the network type precedence diagrams and limited buffer capacities between stations. Besides, it is the first study that CP method is applied to balancing and scheduling of mixed model assembly lines. Our empirical study shows that the CP approach outperforms the MIP approach as well as the decomposition schemes.
Citation - WoS: 19
Citation - Scopus: 24
Balancing and Scheduling of Flexible Mixed Model Assembly Lines With Parallel Stations
(Springer London Ltd, 2012-12-14) Ozturk, Cemalettin; Tunali, Semra; Hnich B.; Örnek, Mustafa Arslan
In this paper, we study flexible mixed model assembly lines with serially connected stages where stages may have one or more parallel stations. Station parallelism in flexible mixed model assembly lines improves system reliability and enables rapid adaptability to customer demand fluctuations. However, in order to effectively manage such lines under real-world conditions, there is a need to extend traditional assembly line management methods. This study extends the current research by simultaneously considering the problems of task assignment and model scheduling on parallel stations. Furthermore, scheduling of assigned tasks on each station is considered. We formulate the problem context first as a mixed integer programming model and then develop a decomposition scheme for large scale applications. Finally, we compare the performance of the proposed model and decomposition scheme using various size test instances.
Citation - WoS: 22
Citation - Scopus: 23
Barriers To Sustainable Tourism Development in Jamaica
(Cognizant Communication Corp, 2007-04-01) Altinay, Levent; Var, Turgut; Hines, Suzette; Hussain, Kashif
Many destinations have recognized the importance of implementing sustainable tourism development. However, for many developing countries worldwide, economic, social, and physical challenges pose great hindrances to sustainable development. The aim of this article is to investigate and evaluate the difficulties of implementing sustainable tourism development practices in Jamaica. The primary research is based on qualitative analysis to find out the obstacles regarding the implementation of sustainable tourism development, based on three themes, namely financial constraints, social instability, and lack of coordinated tourism planning. The overall results revealed that, in terms of sustainable practices, there are several initiatives being implemented by both public and private sectors, but they lack management, cohesiveness, and in some cases, collaboration. Also, if sustainability is to be achieved in a developing country, it will require effective financial management of all industries and a serious concentration on social sustainability.
Bearing the Brunt of Legitimacy and Power Challenges: the Turkish Armed Forces' Fall From Grace, 1997-2018
(Routledge Journals, Taylor & Francis Ltd, 2023-01-17) Onder, Cetin; Ozen, Sukru
In this paper, we present an analytical narrative of the events that culminated in the Turkish Armed Forces' (the TAF) fall from grace between 1997 and 2018. The narrative is guided by a conceptual framework that features organizational legitimacy and power as key to strategizing by societal constituencies. Based on this framework, we describe how the Turkish government consecutively raised legitimacy and power challenges to the TAF, underscoring adaptation of the Turkish government's strategy to the emergent outcomes. We conclude the paper with a discussion of the usefulness of our framework for an enhanced understanding of civilian control over the military.
Citation - WoS: 26
Citation - Scopus: 44
Big Data-Enabled Solutions Framework To Overcoming the Barriers To Circular Economy Initiatives in Healthcare Sector
(Mdpi, 2021-07-14) Kazancoglu, Yigit; Sagnak, Muhittin; Lafci, Cisem; Luthra, Sunil; Kumar, Anil; Tacoglu, Caner
Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector's negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.
Brand Privacy Policy and Brand Trust Reference in Online Business Communication
(IGI Global, 2023-04-28) Tugrul, T.O.; Kara, T.
This study aims to contribute to the existing literature by examining strategic communications of online privacy policies of e-commerce brands. Specifically, the key topics and the sentiments of privacy assurances, the aspects of brand trust referred, and the privacy policy-brand trust reference relationship were explored. A total of 62 privacy policy statements on the websites of the 100 leading companies in the e-commerce industry worldwide were analyzed using quantitative content, sentiment, and Spearman's correlation analyses. Results indicate that most of the leading companies in the global e-commerce sector share information about various privacy practices positively. Although the most valuable e-commerce international brands tend to have a higher level of the online brand privacy policy, they are less likely to refer to brand trust. However, online brand privacy policy and online brand trust reference levels are not found to be significantly associated. Copyright © 2023, IGI Global.
Citation - WoS: 125
Citation - Scopus: 188
Branding Places: Applying Brand Personality Concept To Cities
(Emerald Group Publishing Ltd, 2010-09-21) Demirbağ Kaplan, Melike; Yurt, Oznur; Güneri Çangarlı, Burcu; Kurtulus, Kemal
Purpose - In recent years, brand personality as a branding construct has received considerable interest, which has led to a significant effort to develop tools to measure the personality of brands. Although the majority of these studies have focused on the brand personality of conventional product brands, the new boundaries of marketing obviously necessitate the application of branding constructs to non-traditional products such as places. This study aims to focus on brand personalities of places, and to examine the applicability of this concept for city brands. Design/methodology/approach - The research employs a factor analysis method based on data collected from 898 college students. Findings - The findings of the study reveal that differentiating places with regard to their brand personalities is achievable. The paper introduces two new dimensions of brand personality for cities. Originality/value - The extraction of two new factors that contribute to place brand personalities is considered a major contribution of this research to the marketing literature.
Citation - WoS: 23
Citation - Scopus: 29
Bystanders in Workplace Bullying: Working University Students' Perspectives on Action Versus Inaction
(Wiley, 2019-02-08) Paull, Megan; Omari, Maryam; D'Cruz, Premilla; Cangarli, Burcu Guneri; Güneri Çangarli, Burcu
There is increasing interest in bystanders to workplace bullying, including from human resource management (HRM) perspectives. This paper draws on literature from the fields of sexual harassment and helping behaviour to develop understanding of bystander action and inaction. Part of a project on workplace bullying, this study used online story-based responses from university students in Australia, India and Turkey with workplace experience to elicit bystander and target interpretations of the behaviour. Findings suggest that even when bystanders are aware of bullying, they do not always intervene for reasons ranging from powerlessness and fear to avoidance and ignorance. Helping behaviours, including private support or making a report, were described by some respondents, with contextual factors linked to the perpetrator or the organisation influencing responses. The importance of the HRM role in facilitating bystander action, drawing on the helping behaviour and sexual harassment literature, is a focus of the findings and implications.
Citation - WoS: 16
Citation - Scopus: 20
Capacity Improvement Using Simulation Optimization Approaches: a Case Study in the Thermotechnology Industry
(Taylor & Francis Ltd, 2014-02-12) Kose, Simge Yelkenci; Demir, Leyla; Tunali, Semra; Eliiyi Türsel, Deniz
In manufacturing systems, optimal buffer allocation has a considerable impact on capacity improvement. This study presents a simulation optimization procedure to solve the buffer allocation problem in a heat exchanger production plant so as to improve the capacity of the system. For optimization, three metaheuristic-based search algorithms, i.e. a binary-genetic algorithm (B-GA), a binary-simulated annealing algorithm (B-SA) and a binary-tabu search algorithm (B-TS), are proposed. These algorithms are integrated with the simulation model of the production line. The simulation model, which captures the stochastic and dynamic nature of the production line, is used as an evaluation function for the proposed metaheuristics. The experimental study with benchmark problem instances from the literature and the real-life problem show that the proposed B-TS algorithm outperforms B-GA and B-SA in terms of solution quality.
Case Study: Internationalization of Auto Train Brain
(IEEE, 2024-10-10) Göksu Beşkaya, Zeynep; Eroglu, Gunet; Gurkaynak, Nilgun; Özer Torgalöz, Alev; Torgaloz, Alev Ozer; Beskaya, Zeynep Goksu
This case study examines the internationalization strategy of Auto Train Brain, a startup in Turkiye that has developed an innovative mobile application to provide solutions for children with neurodiversity, including dyslexia, autism, ADHD, and intellectual disability. The application uses neurofeedback and multi-sensory learning techniques based on EEG signals. The case study delves into the company's journey to global expansion, with a focus on the challenges encountered in new markets such as the U.S., Japan, and the U.K. Additionally, the discussion section offers recommendations for successfully navigating challenges related to market growth strategies, product definition, and adaptation of the product to different cultural environments and regulations.
Changing Consumer Buyer Decision Process in the Context of Instamoms
(IGI Global, 2023-12-08) Ipekoğlu, E.; Gürkaynak, N.
As an effective digital strategy, influencer marketing uses "influencers" on social media with their potential to deliver ideas to the masses. These people on social media are very attractive to consumers when making decisions. This research makes its theoretical contribution by combining marketing motherhood as a social construct as an instinctive process in social media. Within this context, mother influencers, called Instamoms, impact their followers by affecting their buyer decision process. This chapter aims to understand the impact of Instamoms on the buyer decision of their followers. The research concentrates on factors in how decisions in the process of mother followers can be shaped, affected, and harmonized toward the content of the Instamoms' posts, in terms the of influence that constitute the reference power, motherhood concept, and all other remaining factors that determine the buyer decision process. © 2024, IGI Global. All rights reserved.
Citation - WoS: 38
Citation - Scopus: 39
Children's Perception of Food and Healthy Eating: Dynamics Behind Their Food Preferences
(Wiley, 2011-09-09) Ati̇k, Deniz; Ertekin, Zeynep
Childhood obesity epidemic has been a popular topic for research as it has become a major health concern in many countries. As the focus of earlier studies has been predominantly on food marketing to children, there is still limited research on what other factors, apart from food marketing, influence their food preferences and eating habits. Bringing in children's perspectives as well as those of parents and guardians, this study aims to fill this gap by shedding light on further dynamics that can be influential on children's preferences. Through a qualitative inquiry, focus groups and individual interviews were conducted with children between the ages of 7 and 11. Aiming to investigate both meanings and practices, these sessions also included interactive and participatory research methods such as drawing, word games and role playing. Moreover, in-depth interviews were carried out with teachers and mothers to gain an understanding of their perspective on the topic. The findings show the different appeals and social influences behind children's food preferences, among which sensory and fun appeals as well as the influence of parents come forward. By revealing these different appeals of food and social influences, the study brings a new perspective to the discussions on childhood obesity and food marketing.
Citation - WoS: 36
Citation - Scopus: 45
Combining Machine-Based and Econometrics Methods for Policy Analytics Insights
(Elsevier, 2017-09) Kauffman, Robert J.; Kim, Kwansoo; Lee, Sang-Yong Tom; Hoang, Ai-Phuong; Ren, Jing
Computational Social Science (CSS) has become a mainstream approach in the empirical study of policy analytics issues in various domains of e-commerce research. This article is intended to represent recent advances that have been made for the discovery of new policy-related insights in business, consumer and social settings. The approach discussed is fusion analytics, which combines machine-based methods from Computer Science (CS) and explanatory empiricism involving advanced Econometrics and Statistics. It explores several efforts to conduct research inquiry in different functional areas of Electronic Commerce and Information Systems (IS), with applications that represent different functional areas of business, as well as individual consumer, social and public issues. Recent developments and shifts in the scientific study of technology-related phenomena and Social Science issues in the presence of historically-large datasets prompt new forms of research inquiry. They include blended approaches to research methodology, and more interest in the production of research results that have direct application to industry contexts. This article showcases the methods shifts and several contemporary applications. They discuss: (1) feedback effects in mobile phone-based stock trading; (2) sustainability of toprank chart popularity of music tracks; (3) household TV viewing patterns; and (4) household sampling and purchases of video-on-demand (VoD) services. The range of applicability of the ideas goes beyond the scope of these illustrations, to include issues in public services, healthcare, product and service deployment, public opinion and elections, electronic auctions, and travel and tourism services. In fact, the coverage is as broad as for-profit and for-non-profit, private and public, and governmental and non-governmental institutions. (C) 2017 Published by Elsevier B.V.

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