Papers by Yiğit Kazançoğlu
International journal of food science & technology, Mar 17, 2024
Lecture notes in mechanical engineering, 2024
Journal of Cleaner Production, Dec 31, 2023
Lecture notes in mechanical engineering, Oct 1, 2023

Sustainability, Sep 24, 2023
With technological advancements, there has been a significant increase in the generation of elect... more With technological advancements, there has been a significant increase in the generation of electronic waste (e-waste), leading to severe environmental consequences. Inadequate e-waste management poses obstacles to achieving the Sustainable Development Goals (SDGs) and results in detrimental effects such as pollution, health risks, and resource depletion. Recycling and reusing are vital due to the presence of toxic and valuable elements in e-waste. However, several barriers impede effective management, including limited collection points, insufficient awareness, and inadequate policies. For this reason, this paper aims to propose drivers for developing and improving organizational actions that enhance e-waste management, enabling companies to contribute to the achievement of the SDGs. Content analysis was employed as the research method to identify booster elements and systematize e-waste management drivers. Thirty-six booster elements related to SDGs 3, 6, 7, 8, 9, 11, 12, and 17 were identified based on 30 relevant scientific articles from Scopus and 16 sustainability reports from well-ranked companies on the New York Stock Exchange. The systematized drivers encompass recycling and treatment techniques, sustainable manufacturing and consumption, e-waste management technologies, and cooperation networks. The scientific contribution of this work lies in incorporating empirical elements into the literature and enriching the theory of sustainable practices in the electronic equipment industry. In an applied manner, this article contributes to managers who can use the proposed drivers to improve the management of e-waste, thus reducing costs and enhancing the socio-environmental performance of their companies.
Business Strategy and The Environment, Jan 29, 2022
International journal of logistics, Apr 7, 2021

E3S web of conferences, 2023
The topic of food waste, which is considered to be an important focus within the framework of the... more The topic of food waste, which is considered to be an important focus within the framework of the Sustainable Development Goals of the United Nations (UN), has created a wide academic research area as well as guiding the policies implemented on this issue. Many researchers closely interested in the topic have produced academic studies that address food waste from various perspectives. Food waste at the consumer level is an important issue in terms of protecting the natural environment and using resources efficiently, considering future generations. This study aims to evaluate academic studies in this field and figure out the recent trends. The method utilized for this aim is selected to be bibliometric analysis. The results of the study, clarifying the trend topics, relevant authors, countries, sources, motor, niche and emerging themes regarding the field are expected to be useful for policymakers, practitioners, and consumers.

ISAHP proceedings, Dec 1, 2020
The complex business processes bring various problems with them in supply chain management. Basic... more The complex business processes bring various problems with them in supply chain management. Basic sustainability problems, lack of transparency in supply chain processes, asymmetrical information flow, lack of security, and insufficient traceability are decrease service quality and increase costs. Besides, it brings social inequality along with its environmental effects. The concept of industry 4.0, which came into our lives with the age of digitalization, has brought disruptive technological developments with it. These technological developments are expected to contribute to the sustainability concept with the advantages they bring. This study examines the impact of new concepts and technologies such as IoT, blockchain, big data, cloud computing, and robotics on supply chain sustainability. In this study, Analytic Hierarchy Process (AHP) and its variations (Fuzzy AHP, Intuitionistic Fuzzy AHP, Pythagorean Fuzzy AHP, and Spherical Fuzzy AHP) are discussed, the evaluation of innovative technologies in terms of each method is made through the concept of sustainability. The results obtained are important in showing both the consistency of AHP methods among themselves and which technologies are at the forefront of sustainability.

Technological Forecasting and Social Change, Nov 1, 2021
Abstract Prior research and practices of Industry 4.0 mostly centered on the intelligent transfor... more Abstract Prior research and practices of Industry 4.0 mostly centered on the intelligent transformation of the manufacturing industry from a technical perspective. However, it remains unclear how social and environmental factors can improve companies' performance in their digital transformation under Industry 4.0. Our research addresses this gap by exploring how companies undergoing digital transformation can leverage their relationship capital and green management initiatives to improve their financial performance, benefiting the entire supply chain. Specifically, we developed a conceptual model that captures the relationship between supply chain relationship capital, enterprise green management, and financial performance and used structural equation modeling and SPSS PROCESS to empirically test the hypotheses with data collected from 308 Chinese manufacturing companies. The findings indicate that for companies in the digital transformation of Industry 4.0, supply chain relationship capital positively affects enterprise green management, which subsequently enhances financial performance. Meanwhile, supply chain relationship capital also indirectly improves companies’ financial performance by leveraging their green management initiatives. Our findings contribute to the literature by enriching the implications of relational capital in supply chains and strengthening the viability of green management. We also provide practical guidance for companies to effectively implement green management programs and exploit their relationship capital.

Journal of Cleaner Production, Apr 1, 2021
Blockchain technology is a revolutionary new protocol for sharing and updating information by lin... more Blockchain technology is a revolutionary new protocol for sharing and updating information by linking ledgers or databases in a decentralised, peer-to-peer, open-access network. Blockchain is designed to ensure the data is stored and updated in a secure, tamper-proof and irreversible way. Despite being in its nascent stages, the blockchain research is developing rapidly in different fields, making it imperative to capture the ethical and sustainability implications of blockchain development and implementation. The circular economy also focuses on enhancing sustainability and social responsibility, alongside economic growth. In this article, we critically review blockchain technology's current and potential contribution to the circular economy through the lens of sustainability and social responsibility. This paper contributes to the Industry 4.0 literature by identifying, collating and organising the disparate research on blockchain, with a critical focus on its positive impact and potential repercussions for the ethics agenda. Within this narrative review, we argue and highlight the extant and potential alignment of blockchain with circular economy. Our findings show that blockchain technology can contribute to the circular economy by helping to reduce transaction costs, enhance performance and communication along the supply chain, ensure human rights protection, enhance healthcare patient confidentiality and welfare, and reduce carbon footprint. We also evaluate the challenges to blockchain implementation for circular economy, in terms of trust, illegal activities, potential for hacking and the need to address these through suitable legislation and policy development. Furthermore, we acknowledge the potential upfront costs involved in implementing blockchain technology, although we observe that the benefits are likely to exceed the challenges. We conclude this article with recommendations for future research in this field.

Information Systems Frontiers
Industrial revolutions often seek to strengthen the separation of human and machine labor by goin... more Industrial revolutions often seek to strengthen the separation of human and machine labor by going one step further, toward automation and digitalization, and the transfer of tough and dangerous occupations to robots. As it strives to include robots in people's daily activities and work, the introduction of concepts such as I5.0 is a step forward in enhancing human-machine interaction and provides some possibilities and challenges for firms. Therefore, this article mainly focuses on studying and concretely examining the challenges faced by businesses transitioning from I4.0 to I5.0 by providing case examples from the textile and apparel supply chain. After a detailed review of the current literature related to the I5.0 challenges, the I5.0 challenges were listed in general. Then, the fuzzy Decision-making trial and evaluation laboratory approach has adopted into the challenges to reveal causal interactions between them thus, prioritizing the substantial challenges to be focused on to influence the entire textile and apparel supply chain.
Lecture notes in mechanical engineering, 2023
Annals of Operations Research
Journal of Business Research

Clean Technologies and Environmental Policy, 2020
E-waste is a hazardous concept for human health, environment and businesses, and therefore, risk ... more E-waste is a hazardous concept for human health, environment and businesses, and therefore, risk assessment is essential to eliminate or reduce the negative effects of e-waste in a circular economy. Decision-making plays an important role during the risk assessment in e-waste recycling. This study aims to develop a decision tool under uncertain and risky conditions for achieving sustainability in electronic waste (e-waste) recycling in circular economy. Prospect theory and its aspects are integrated with the sustainability risk assessment in e-waste recycling. In order to evaluate the irrationality and risk attitudes of decision makers in a risky and uncertain environment, the prospect theory-based TODIM (acronym in Portuguese for interactive and multicriteria decision-making, i.e. Tomada de Decisão Interativa Multicritério) method for a previous computer disassembly problem is used. Using prospect theory, the relationship between loss aversion, reference point, framing and two selves effect, and sustainability dimensions is presented with a sustainability risk assessment point of view. Further, tasks of computer disassembly processes are prioritized by considering risk factors. The results showed that random access memory modules, motherboard and power supply are the highest priority risks based on the evaluation of listed twelve sustainability risks. In this study, it is suggested that prospect theory is suitable for decisions under risk and uncertainty, and it is applicable to integrate sustainability risk assessment and prospect theory in order to fulfil the gap of knowledge. Sustainability risk assessment • E-waste recycling • Circular economy • Prospect theory • TODIM * Yigit Kazancoglu
Sustainable Production and Consumption, 2021

Annals of Operations Research, 2021
Advances in smart technologies (Industry 4.0) assist managers of Micro Small and Medium Enterpris... more Advances in smart technologies (Industry 4.0) assist managers of Micro Small and Medium Enterprises (MSME) to control quality in manufacturing using sophisticated data-driven techniques. This study presents a 3-stage model that classifies products depending on defects (defects or non-defects) and defect type according to their levels. This article seeks to detect potential errors to ensure superior quality through machine learning and data mining. The proposed model is tested in a medium enterprise—a kitchenware company in Turkey. Using the main features of data set, product, customer, country, production line, production volume, sample quantity and defect code, a Multilayer Perceptron algorithm for product quality level classification was developed with 96% accuracy. Once a defect is detected, an estimation is made of how many re-works are required. Thus, considering the attributes of product, production line, production volume, sample quantity and product quality level, a Multilayer Perceptron algorithm for re-work quantity prediction model was developed with 98% performance. From the findings, re-work quantity has the highest relation with product quality level where re-work quantities were higher for major defects compared to minor/moderate defects. Finally, this work explores the root causes of defects considering production line and product quality level through association rule mining. The top mined rule achieves a confidence level of 80% where assembly and material were identified as main root causes.

Sustainable Development, 2020
Circular economy is a contemporary concept including usage of renewable materials and technologie... more 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,...
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Papers by Yiğit Kazançoğlu