Browsing by Author "Kazancoglu, Ipek"

Now showing 1 - 14 of 14

Citation - WoS: 168
Citation - Scopus: 198
A conceptual framework for barriers of circular supply chains for sustainability in the textile industry
(WILEY, 2020) Ipek Kazancoglu; Yigit Kazancoglu; Emel Yarimoglu; Aysun Kahraman; Yarimoglu, Emel; Kazancoglu, Ipek; Kazancoglu, Yigit; Kahraman, Aysun
Circular economy is a contemporary concept including usage of renewable materials and technologies. The transition to the circular economy creates value through closed-loop systems reverse logistics eco-design product life cycle management and clean production. The aim of the study was to propose a holistic conceptual framework for barriers of circular supply chain for sustainability in the textile industry. Within this aim an in-depth literature review on barriers was conducted by covering all supply chain stages and circular initiatives in textile industry. Then a focus group study was implemented. In the focus group study barriers related to supply chains that prevent companies to implement the circular economy were discussed and validated. As a result a total of 25 barriers were classified under nine main categories such as (a) management and decision-making (b) labour (c) design challenges (d) materials (e) rules and regulations (f) lack of knowledge and awareness (g) lack of integration and collaboration (h) cost and (i) technical infrastructure.
Citation - WoS: 263
Citation - Scopus: 324
A new holistic conceptual framework for green supply chain management performance assessment based on circular economy
(Elsevier Ltd, 2018) Yigit Kazancoglu; Ipek Kazançoǧlu; Muhittin Saǧnak; Kazancoglu, Yigit; Kazancoglu, Ipek; Sagnak, Muhittin
In circular economy the Green Supply Chain Management (GSCM) provides the resource optimization and it is seen as a solution to solve environmental problems and consumption patterns within the whole supply chain. The GSCM implementation and performance assessment is relatively important for survival in an ever-increasingly competitive environment. Within the circular economy context, companies that aim to improve GSCM must constantly monitor their performance. In order to integrate the circular economy concept into GSCM it is required to achieve an optimal balance of environmental economic logistics organizational and marketing performance indicators. However in the literature these indicators were investigated separately in terms of GSCM performance assessment therefore to achieve this optimal balance it is necessary to assess these different indicators. Within this context the aim of this paper is to propose a new holistic conceptual GSCM performance assessment framework which integrates environmental economic logistics operational organizational and marketing performance. The framework has three-dimensional hierarchy which includes the main criteria sub-criteria and the measures for the GSCM performance assessment which have great significance to implement effective GSCM. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 237
Citation - Scopus: 303
Circular economy and the policy: A framework for improving the corporate environmental management in supply chains
(WILEY, 2021) Ipek Kazancoglu; Muhittin Sagnak; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kumar Mangla, Sachin; Kazancoglu, Ipek; Sagnak, Muhittin; Kazancoglu, Yigit
The transition to the circular economy (CE) creates value through the closed-loop systems reverse logistics product life cycle management and clean production in terms of corporate environmental management. During this transition process the organization faces many barriers such as financial organizational technology-based social policy-related market-based and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings lack of legislation for efficient CE (C4) lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17) and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards improving communication among stakeholders the government's perception of CE and current linear economy cooperation with nongovernmental organization (NGOs) and civil actions the vision of government towards circular principles the circular public procurement the local governments in circular policymaking and awareness of bureaucracy and government officials.
Citation - WoS: 38
Citation - Scopus: 50
Detecting fake reviews through topic modelling
(ELSEVIER SCIENCE INC, 2022) Sule Ozturk Birim; Ipek Kazancoglu; Sachin Kumar Mangla; Aysun Kahraman; Satish Kumar; Yigit Kazancoglu; Kumar Mangla, Sachin; Kazancoglu, Ipek; Kazancoglu, Yigit; Birim, Sule Ozturk; Kumar, Satish; Mangla, Sachin Kumar; Kahraman, Aysun
Against the uncertainty caused by the information overload in the online world consumers can benefit greatly by reading online product reviews before making their online purchases. However some of the reviews are written deceptively to manipulate purchasing decisions. The purpose of present study is to determine which feature combination is most effective in fake review detection among the features of sentiment scores topic distributions cluster distributions and bag of words. In this study additional feature combinations to a sentiment analysis are searched to examine the critical problem of fake reviews made to influence the decision-making process using review from amazon.com dataset. Results of the study points that behavior-related features play an important role in fake review classifications when jointly used with text-related features. Verified purchase is the only behavior related feature used comparatively with other text-related features.
Citation - WoS: 27
Citation - Scopus: 36
Factors influencing Turkish parents’ intentions towards anti-consumption of junk food
(Emerald Group Holdings Ltd., 2019) Emel Kursunluoglu Yarimoglu; Ipek Kazançoǧlu; Zeki Atıl Bulut; Yarimoglu, Emel; Bulut, Zeki Atıl; Kazancoglu, Ipek
Purpose: The purpose of this paper is to analyze parents’ intentions toward the anti-consumption of junk food for their children. The paper incorporated the theory of planned behavior (TPB) using two external factors which previously have not been investigated together. Design/methodology/approach: A questionnaire was designed from previous studies consisting of the constructs of the TPB (intention attitude subjective norm perceived behavioral control) and two external factors (anticipated regret and perceived risk). An online survey was conducted among 392 participants. Confirmatory factor analysis and structural equation modeling were used to test the hypotheses. Findings: All hypotheses were supported. Attitudes subjective norms and perceived behavioral control affected parental intentions toward the anti-consumption of junk food. The two external factors of the model also affected parental intentions toward the anti-consumption of junk food. Research limitations/implications: There were four limitations regarding participants the research model and product type. Practical implications: Junk food producers sellers fast food restaurants and public policies should encourage healthy lifestyles particularly for children. Junk food producers and fast food restaurants should offer healthier nutritional options. Governmental policies should include legal regulations to restrict marketing strategies for unhealthy products. Parents as the primary influencers of children should be educated regarding the anti-consumption of junk food. Originality/value: The study contributed to the anti-consumption literature by analyzing buying intentions toward junk food within the concept of anti-consumption analyzing intentions by adding anticipated regret and perceived risk to the TPB model and analyzing the effects of perceived risk on anticipated regret. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 13
Citation - Scopus: 16
Food waste management in the retail sector: challenges that hinder transition to circular economy
(SPRINGER, 2022) Ipek Kazancoglu; Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Patanjal Kumar; Ozbiltekin-Pala, Melisa; Kumar, Patanjal; Kazancoglu, Ipek; Kazancoglu, Yigit
The retail sector is one of the growing sectors all over the world. As the sector grows the amount of food waste generated increases and waste management becomes more complicated day by day. The amount of waste produced especially in the food retail sector shows how much waste management policies should be planned. However waste management policies cannot be carried out effectively in the food retail sector especially in emerging economies. Since waste management is not well planned it faces many difficulties in recycling activities. For this purpose the study aims to investigate the challenges encountered in the inability to evaluate food wastes in the retail sector within the framework of circular economy to highlight retailer markets to have effective waste management policies. For this reason 16 challenges of food waste management were listed and the relations of these challenges with each other were analyzed with the fuzzy TISM method. As a result of the study challenges are determined as the most crucial issues for food waste management in the retail sector. As managerial and policy implications suggestions are made on the necessity of new policies the usability of Industry 4.0 technologies for the problem i.e. in the retail sector.
Citation - WoS: 106
Citation - Scopus: 95
Framework for a sustainable supply chain to overcome risks in transition to a circular economy through Industry 4.0
(TAYLOR & FRANCIS LTD, 2023) Yigit Kazancoglu; Yesim Deniz Ozkan-Ozen; Muhittin Sagnak; Ipek Kazancoglu; Manoj Dora; Dora, Manoj; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; Sagnak, Muhittin; Kazancoglu, Ipek
Transition from a linear to a circular economy (CE) is a challenging process for a sustainable supply chain and innovative process approaches and technologies are needed to deal with the risks involved. Industry 4.0 principles have great potential to achieve optimal sustainable supply chain solutions and are expected to add value to sustainable supply chain operations by increasing efficiency and resource utilisation. Therefore Industry 4.0 supports companies transitioning to a CE through improving the efficiency and sustainability of their supply chain management. Thus the purpose of this paper is to investigate the potential risks of the transition from a linear to a CE with proposed Industry 4.0-based responses from an operations management perspective within the sustainable supply chain. Implementation of the study was conducted in a logistics company in Turkey. An integrated MCDM (Multi-criteria Decision Making) approach was based on Fuzzy AHP and TODIM was used to analyse the association between risks and responses. According to the findings the most important Industry 4.0-based responses are the integrated business processes for cross-functional collaboration modular processes for simplification and standardisation and continuous monitoring of the cost and performance throughout the supply chain by big data and analytics. This study may assist managers in managing risks in supply chain operations during the transition from a linear to a CE through Industry 4.0 based responses. The main contribution of this study is a greater understanding of the risks related to the transition from a linear to a circular economy and proposals for Industry 4.0-based responses as a means of overcoming these risks in a sustainable supply chain context.
Citation - WoS: 33
Citation - Scopus: 92
Fuzzy DEMATEL-based green supply chain management performance: Application in cement industry
(EMERALD GROUP PUBLISHING LTD, 2018) Yigit Kazancoglu; Ipek Kazancoglu; Muhittin Sagnak; Kazancoglu, Yigit; Kazancoglu, Ipek; Sagnak, Muhittin
Purpose Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM. Design/methodology/approach A model is proposed grounded on a literature review on GSCM performance after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry. Findings An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied which represents causal relationships and prioritization of sub-criteria. Research limitations/implications The proposed model can be generalized because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company, therefore the causal relationships found are company specific. Practical implications The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance analyze causal relationships and prioritize sub-criteria. Originality/value Several studies have analyzed performance assessment in green supply chains, however to the best of the authors' knowledge no study has taken an approach to performance assessment in GSCM that combines environmental economics/financial logistics operational organizational and marketing in the same framework. In addition the cause-effect relationships identified will be the base for performance improvement.
Citation - WoS: 13
Citation - Scopus: 19
How food retailing changed in Turkey: spread of self-service technologies
(EMERALD GROUP PUBLISHING LTD, 2018) Ipek Kazancoglu; Emel Kursunluoglu Yarimoglu; Yarimoglu, Emel Kursunluoglu; Kazancoglu, Ipek; Kursunluoglu Yarimoglu, Emel
Purpose - The purpose of this paper is to predict customers' intentions to use self-checkouts based on the technology acceptance model (TAM). Design/methodology/approach - The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU) perceived usefulness (PU) behavioral intentions technology anxiety (TA) perceived risk (PR) need for interaction (NI) and situational factors (SF). Before preparing the questionnaire the focus group studies were organized to gain deeper insights regarding customers' views about self-checkouts. Based on the results of the focus groups some items in the constructs were adapted and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs. Findings - Out of the 16 hypotheses 10 were found to be significant. The hypotheses related to the effects of PR PEU PU intentions while the effects of NI on PU and intentions, the effects of SF on intentions were not accepted in the study. According to the findings PEU PU and TA affected intentions whereas PR NI and SF did not. Research limitations/implications - There were some limitations related to demographics attitudes SF and actual usage of self-checkouts. Practical implications - To avoid queues retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety. Originality/value - The main contribution of this study was that the effects of different constructs were measured on Turkish customers' intentions to use self-checkouts which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF TA NI and PR all of which were added to the TAM in this study.
Citation - WoS: 107
Citation - Scopus: 113
Investigating barriers to circular supply chain in the textile industry from Stakeholders’ perspective
(Taylor and Francis Ltd., 2022) Ipek Kazançoǧlu; Yigit Kazancoglu; Aysun Kahraman; Emel Kursunluoglu Yarimoglu; Gunjan Soni; Yarimoglu, Emel; Soni, Gunjan; Kazancoglu, Ipek; Kazancoglu, Yigit; Kahraman, Aysun
The objectives of this study are to understand the circular supply chain barriers for textile companies to implement the circular economy. Main contributions of the study were to propose a specific framework that reveals circular supply chain barriers in transition to circular economy with holistic view by encompassing all stakeholders to reveal causal relationships among the circular supply chain barriers within textile industry. Causal relationships between the proposed circular supply chain barriers were identified by Fuzzy-Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The barriers are classified under cause and effect groups and related implications are proposed. The findings of this study are lack of collecting sorting and recycling reluctance for acceptance of CE model and problems related to uniformity and standardisation are revealed as the most important barriers respectively. Moreover lack of technical knowledge is the most influencing factor whereas challenges in product design is the most influenced factor. © 2023 Elsevier B.V. All rights reserved.
The Role of Artificial Intelligence in Sustainable Food Retailing: A Pathway to Reducing Waste and Enhancing Efficiency
(Springer Science and Business Media B.V., 2026) Köse, Şirin Gizem; Kazancoglu, Ipek; Kazancoglu, Yigit
Citation - WoS: 137
Citation - Scopus: 169
Role of flexibility- agility and responsiveness for sustainable supply chain resilience during COVID-19
(ELSEVIER SCI LTD, 2022) Ipek Kazancoglu; Melisa Ozbiltekin-Pala; Sachin Kumar Mangla; Yigit Kazancoglu; Fauzia Jabeen; Ozbiltekin-Pala, Melisa; Jabeen, Fauzia; Kumar Mangla, Sachin; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kazancoglu, Yigit
Supply chains are gradually transforming into more global structures. To ensure sustainability and resilience in face of the problems that arise in globalizing supply chains it is becoming an important issue today, a supply chain must be flexible agile and responsive. Therefore the aim of the study is to focus on resilience in sustainable global supply chains (GSC) to avoid disruptions caused by pandemics such as COVID-19, it is also conducted research on responsiveness of sustainable global supply chains during COVID-19. In this study dynamic capability perspective and contingency theory are used to conceptualize theoretical models for COVID-19. Moreover a partial least squares (PLS) model is used to analyse the research hypotheses with 200 responses collected from companies which have complex supply chain structures. As a novel result the relationship between flexibility agility and responsiveness of global supply chain is revealed. Supply chain agility is found to be directly affected by supply chain flexibility. Moreover supply chain flexibility and supply chain agility directly affect the responsiveness of the global supply chain. In addition the agility of the supply chain acts as a partial mediator variable in the effect of supply chain flexibility on responsiveness.
Citation - WoS: 33
Citation - Scopus: 36
The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods
(SPRINGER, 2024) Sule Birim; Ipek Kazancoglu; Sachin Kumar Mangla; Aysun Kahraman; Yigit Kazancoglu; Birim, Sule; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kahraman, Aysun; Kazancoglu, Yigit
In recent years machine learning models based on big data have been introduced into marketing in order to transform customer data into meaningful insights and to make strategic decisions by making more accurate predictions. Although there is a large amount of literature on demand forecasting there is a lack of research about how marketing strategies such as advertising and other promotional activities affect demand. Therefore an accurate demand-forecasting model can make significant academic and practical contributions for business sustainability. The purpose of this article is to evaluate machine learning methods to provide accuracy in forecasting demand based on advertising expenses. The study focuses on a prediction mechanism based on several Machine Learning techniques-Support Vector Regression (SVR) Random Forest Regression (RFR) and Decision Tree Regressor (DTR) and deep learning techniques-Artificial Neural Network (ANN) Long Short Term Memory (LSTM)-to deal with demand forecasting based on advertising expenses. Deep learning is a powerful technique that can solve marketing problems based on both classification and regression algorithms. Accordingly a television manufacturer's real market dataset consisting of advertising expenditures sales and demand forecasting via chosen machine learning methods was analyzed and compared in terms of the accuracy of demand forecasting. As a result Long Short Term Memory has been found to be superior to other models in providing highly accurate prediction results for demand forecasting based on advertising expenses.
Citation - WoS: 67
Citation - Scopus: 88
Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19
(Springer, 2023) Ipek Kazançoǧlu; Melisa Ozbiltekin-Pala; Sachin Kumar Kumar Mangla; Ajay Kumar; Yigit Kazancoglu; Ozbiltekin-Pala, Melisa; Kumar, Ajay; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kazancoglu, Yigit
In rapidly changing business conditions it has become extremely important to ensure the sustainability of supply chains and further improve the resiliency to those events such as COVID-19 that can cause unexpected disruptions in the value supply chain. Although globalized supply chains have already been criticized for lack of control over sustainability and resilience of supply chain operations these issues have become more prevalent in the uncertain environment driven by COVID-19. The use of emerging technologies such as blockchain Industry 4.0 analytics model and artificial intelligence driven methods are aimed at increasing the sustainability and resilience of supply chains especially in an uncertain environment. In this context this research aims to identify the problematic areas encountered in building a resilient and sustainable supply chain in the pre-COVID-19 era and during COVID-19 and to offer solutions to those problematic areas tackled by an appropriate emerging technology. This research has been contextualized in the automotive industry, this industry has a complex supply chain structure and is one of the sectors most affected by COVID-19. Based on the findings the most important problematic areas encountered in SSCM pre-COVID-19 are determined as supply chain traceability demand planning and production management as well as purchasing process planning based on cause and effect groups. The most important issues to be addressed during COVID-19 are top management support purchasing process planning and supply chain traceability respectively. © 2023 Elsevier B.V. All rights reserved.