Browsing by Author "Ozbiltekin, Melisa"

Now showing 1 - 5 of 5

Citation - WoS: 31
Citation - Scopus: 44
A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies
(Emerald Group Holdings Ltd., 2020) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Yeşim Deniz Özkan-Özen; Muhittin Saǧnak; Ozbiltekin, Melisa; Kazancoglu, Yigit; Sagnak, Muhittin; Ozkan Ozen, Yesim Deniz
Purpose: This study aims to propose an electronic waste collection and classification system to enhance social environmental and economic sustainability by integrating data-driven technologies in emerging economies. Design/methodology/approach: GM (1 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies. Findings: It is revealed that the amount of collected electronic waste is increasing day by day and within the framework of sustainability in the process of collecting and classification of electronic waste digital technologies were found to be lacking. It has been determined that this deficiency together with the increasing amount of electronic waste has caused environmental social and economic damage to emerging economies. Originality/value: The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability which is a relatively new subject. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 40
Citation - Scopus: 44
Analysis of the barriers to urban mining for resource melioration in emerging economies
(Elsevier Ltd, 2020) Yigit Kazancoglu; Erhan Ada; Yucel Yilmaz Ozturkoglu; Melisa Ozbiltekin-Pala; Ozturkoglu, Yucel; Ozbiltekin, Melisa; Kazancoglu, Yigit; Ada, Erhan
Urban mining is a management approach that can transform wastes into a secondary material resource based on the circular economy. It helps to provide secondary raw materials by recycling precious metals and raw materials and also contributes to improve resource consumption and melioration in a circular economy and sustainability. However it is difficult to implement urban mining due to various barriers such as lack of know-how needed technology. Thus the study aims to determine the barriers and challenges of urban mining in emerging economies both theoretically and empirically and to identify the various barriers and determine the causal relationships and the relative importance of these barriers that are critical to the success of urban mining which provides resource melioration in circular economy. In the study six main dimensions and eighteen barriers are analysed by five experts with using Fuzzy DEMATEL. According to the results the most important barrier to urban mining in emerging economies from the e-waste perspective which is in cause group is the government's incentives and support. The barrier is followed by lack of regulations and lack of producer responsibility respectively. Moreover the lowest priority barrier which is in effect group is lack of product design and setting standards that encourage circularity. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 33
Citation - Scopus: 40
Minimizing losses at red meat supply chain with circular and central slaughterhouse model
(EMERALD GROUP PUBLISHING LTD, 2020) Yasanur Kayikci; Melisa Ozbiltekin; Yigit Kazancoglu; Ozbiltekin, Melisa; Kayikci, Yasanur; Kazancoglu, Yigit
Purpose - The purpose of this paper is to find solutions to improve the red meat sector in an emerging economy Turkey from the circular economy point of view and taking sustainability approach. The need for circular management within the red meat sector in Turkey is emphasized by using Grey method. As theoretical contribution of this study the investigation of the causes of losses at the slaughter stages of the red meat supply chain leads to proposals for sustainable and circular solutions. Design/methodology/approach - Grey method is used to predict the number of slaughtered cattle and the amount of bone and blood waste in the slaughtering process between 2018 and 2020. Findings - It is revealed that according to Grey prediction calculations although the amount of slaughtered cattle bone and blood waste seem have decreased between 2018 and 2020 there are still significant losses in Turkish red meat sector. For bone waste this is expected to be 56581200 kg in 2018 48235840 kg in 2019 and 41121380 kg in 2020. For blood waste it is expected to be 24754275 kg in 2018 21103180 kg in 2019 and 17990604 kg in 2020. Social implications - The proposed model in the study will contribute on sector revitalization increase in product safety quality and hygiene development in the management of training and education centers for farmers/labors and increase in employment. Originality/value - This paper represents policymakers with a proposal for triple bottom line (TBL) based circular and central slaughterhouse model based on TBL which brings social economic and environmental benefits for the red meat sector in Turkey.
Citation - WoS: 48
Citation - Scopus: 66
Minimizing losses in milk supply chain with sustainability: An example from an emerging economy
(Elsevier B.V., 2018) Yigit Kazancoglu; Yeşim Deniz Özkan-Özen; Melisa Ozbiltekin-Pala; Ozkan-Ozen, Yesim Deniz; Ozbiltekin, Melisa; Kazancoglu, Yigit
Food loss in supply chain is a growing problem due to its environmental social and economic impacts. Especially in emerging economies losses mostly occur in the first stages of the supply chain including agricultural production and postharvest storage. As an emerging economy Turkey also suffers from the food losses in the supply chain. In this study focus is on raw milk losses in the supply chain since livestock and diary sectors are one of the most important sectors in Turkey's economy. Aim of this study is firstly to investigate root causes of raw milk losses in the supply chain and to predict potential raw milk losses. Secondly presenting a sustainable solution according to the results of the prediction and finally achieving environmental social and economic benefits for sustainable raw milk supply chain. Grey Method is used to predict potential losses between 2017–2019 and at the end of the study triple bottom line based sustainable collection center model is suggested for policymakers. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 14
Citation - Scopus: 15
Sustainability benchmarking for logistics center location decision An example from an emerging country
(EMERALD GROUP PUBLISHING LTD, 2020) Yigit Kazancoglu; Melisa Ozbiltekin; Yesim Deniz Ozkan-Ozen; Ozkan-Ozen, Yesim Deniz; Ozbiltekin, Melisa; Kazancoglu, Yigit
Purpose As in line with eco benchmarking the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles. Design/methodology/approach A hybrid multi-criteria decision-making method fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) is used as methodology to make sustainability benchmarking for logistics center location selection. Findings It is revealed that according to AHP and PROMETHEE calculations Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results managerial implications are presented with a sustainability benchmarking view. Originality/value The main originality of this study is integrating one of the relatively new topics sustainability benchmarking with a popular area logistics center location selection.