Browsing by Author "Ozturkoglu, Yucel"

Now showing 1 - 20 of 57

Citation - Scopus: 1
A conceptual framework for a new service model: digital servitization with an Industrial 4.0 perspective
(EMERALD GROUP PUBLISHING LTD, 2025) Tilbe Adsiz; Yucel Ozturkoglu; Adsiz, Tilbe; Ozturkoglu, Yucel
PurposeRecently increasing costs and competitive pressure have accelerated the search for different business models in both the production and service sectors. The rapid development of technology has increased the importance of digitalization especially in developing new and different strategies. The digital service business model has also become a new business model that companies have recently preferred. In addition to its many advantages it is a business model in which different barriers arise in practice. When we look at the literature there are very few studies especially on digital servitization. The purpose of this study is to integrate the concept of digital servitization with the Industry 4.0 perspective.Design/methodology/approachTo achieve this aim first the authors identify various challenges and barriers in front of digital servitization based on the Industry 4.0 perspective. Later they determine the relative importance of these barriers critical to the success of digital servitization. Lastly one multi-criteria decision-making method the fuzzy decision-making trial and evaluation laboratory method is used to analyze the cause-and-effect relationship between each barrier based on the Industry 4.0 perspectiveFindingsBased on the results the most crucial cause-and-effect barriers are insufficient infrastructure/lack of IT infrastructure and high implementation respectively. Therefore this study offers the reader the possible barriers to sustainable digital servitization with Industry 4.0 perspective implementations and comprehensive solutions for these barriers. In addition this study draws a roadmap for disseminating digital service applications.Originality/valueThere is no study to the best of the authors' knowledge about determining barriers and problems with merging digital servitization with the Industry 4.0 perspective. So there is still a significant gap in the literature about investigating these two essential topics from the Industry 4.0 perspective.
Citation - WoS: 36
Citation - Scopus: 38
A conceptual framework model for an effective cold food chain management in sustainability environment
(Emerald Publishing, 2022) Cansu Turan; Yucel Yilmaz Ozturkoglu; Turan, Cansu; Ozturkoglu, Yucel
Purpose: There is a large number of perishable foodstuffs produced stored distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage it not only becomes risky for human health but also generates huge food waste for the environment and negative economic impact for food providers. Therefore this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers food providers and logistics parties for sustainable cold chain management. Design/methodology/approach: Considering tangible and intangible potential criteria the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next the importance order of each criterion and the causal relationships between them are determined. In this study this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors additionally to determine importance order. Finally suggestions for administrative implications are presented. Findings: Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1 C3 C8 C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally top three most important factors are traceability (C7) staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations suggestions for managerial implementations are presented. Practical implications: The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order. Originality/value: To the best of the authors’ knowledge this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study. © 2022 Elsevier B.V. All rights reserved.
A Different Approach to Nurse Scheduling Problem: Lagrangian Relaxation
(2020) Yucel Ozturkoglu; Ozturkoglu, Yucel
The problem of nurse scheduling is categorized in an Np-Hard complexity as it is inherently composed of many limitations and assumptions. As the number of nurses and the number of days increase finding the solution of the problem becomes quite difficult. Therefore this paper propose both an integer-programming model and a Lagrangian relaxation approach for solving nurse-scheduling problem. Numerical results show that while the developed mathematical model works on small-scale problems Lagrangian relaxation method finds better results for large scale scheduling problem with much smaller duality gap in a reasonable computational time.
Citation - WoS: 10
Citation - Scopus: 17
A manufacturing-oriented model for evaluating the satisfaction of workers - Evidence from Turkey
(ELSEVIER, 2016) Omer Ozturkoglu; Ebru E. Saygili; Yucel Ozturkoglu; Ozturkoglu, Yucel; Saygili, Ebru E.; Ozturkoglu, Omer
Job satisfaction in terms of worker's satisfaction is one of the intensively studied areas in human resource and management. However there is little information available on how ergonomics and the manufacturing environment affect job satisfaction. This study analyzes the extent of the relationship between job satisfaction and work and workplace related conditions. A conceptual model is proposed to evaluate job satisfaction that considers 34 elements in four categories: manufacturing systems facility design safety and ergonomics and human resources and management. A survey of 169 blue-collar workers working in the automotive industry was conducted to investigate the applicability of the model. A comprehensive exploratory factor analysis was used to determine inter-related elements their underlying factors and their effects on job satisfaction. The analysis revealed 6 factors with 18 related elements. From a multi linear regression analysis we develop a job satisfaction model built on factors of human resource policies safety ergonomics air quality thermal comfort and disturbing equipment. The results reveal that ergonomics plays the most important role in workers' satisfaction for the respondent Turkish automotive workers. In contrast human resource policies seem not play a critical role in job satisfaction because of higher standards in automotive industry compared to other industries in Turkey. (C) 2016 Elsevier B.V. All rights reserved.
Citation - WoS: 6
A mathematical model and optimization of total production cost and quality for a deteriorating production process
(TAYLOR & FRANCIS AS, 2016) Mohammad Hossein Zavvar Sabegh; Abolfazl Mirzazadeh; Eric C. Maass; Yucel Ozturkoglu; Mohammad Mohammadi; Shiva Moslemi; Sabegh, Mohammad Hossein Zavvar; Maass, Eric C.; Mirzazadeh, Abolfazl; Mohammadi, Mohammad; Ozturkoglu, Yucel; Moslemi, Shiva
Proper production planning can considerably improve a producer's competitiveness in delivering low-cost products with high quality and short-cycle time. In a deterioration process the quality may change during a production run leading to early product failures. To mitigate the impact of deterioration such as process shifting the optimal resetting cycle before the next setup must be determined as well as the initial settings at the beginning of a production run. The aim of this study is to propose a mathematical model that consists of a new quality loss function and adds maintenance costs to the ordering and inventory holding costs commonly considered in the classical model. The model is applied to a real-world case study to demonstrate the effect of initial settings of the mean quality characteristic. The results demonstrate the superiority of the proposed approach in terms of total production cost as compared with the economic production quantity model.
Citation - WoS: 13
Citation - Scopus: 15
A memetic algorithm with a variable block insertion heuristic for single machine total weighted tardiness problem with sequence dependent setup times
(Institute of Electrical and Electronics Engineers Inc., 2016) M. Fatih Tasgetiren; Quanke Pan; Yucel Yilmaz Ozturkoglu; Angela Hsiang Ling Chen; Tasgetiren, M. Fatih; Pan, Quan-Ke; Ozturkoglu, Yucel; Chen, Angela H. L.
In this paper a memetic algorithm with a variable block insertion heuristic is presented to solve the single machine total weighted tardiness problem with sequence dependent setup times. Together with the traditional insertion neighborhood structure the memetic algorithm is combined with a variable block insertion heuristic in which a block of jobs are removed from a sequence and then inserted into all possible positions of the partial sequence. For this purpose we devise a variable neighborhood descent algorithm to incorporate different block insertion heuristics having different block sizes. We also employ a simulated annealing type of acceptance criterion to diversify the population. To evaluate its performance the memetic algorithm is tested on a set of benchmark instances from the literature. The analyses of experimental results have shown highly effective performance of the memetic algorithm against the best performing algorithms from the literature. The proposed memetic algorithm was able to find 98 out 120 optimal solutions within reasonable CPU times. © 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 32
Citation - Scopus: 31
A multi-objective model for multi-production and multi-echelon closed-loop pharmaceutical supply chain considering quality concepts: NSGAII approach
(Springer, 2017) Shiva H. Moslemi; Mohammad Hossein Zavvar Sabegh; A. Mirzazadeh; Yucel Yilmaz Ozturkoglu; Eric Maass; Sabegh, Mohammad Hossein Zavvar; Maass, Eric; Mirzazadeh, Abolfazl; Moslemi, Shiva; Ozturkoglu, Yucel; Zavvar Sabegh, Mohammad Hossein
Quality of medical and pharmaceutical products has a key role in healthcare systems such as hospitals for better services to patients. This study proposes a comprehensive multi-objective mathematical model in healthcare supply chain considering quality and green concepts. The proposed model includes three objective functions. The first minimizes total manufacturing costs including transportation, purchasing maintenance deterioration setup recycling collecting and disposal costs. The second maximizes quality level of production. The third minimizes environmental effects of the products and transportations. The proposed model is complicated because of its nature and listed in the NP-hard. Hence we use NSGAII approach for solving this model. The numerical example illustrates steps of the solution method. The solution representation for 4 suppliers 2 recycling centers and 3 productions shows for supplier 1 (1100 600 1000) and supplier 2 (1000 900 400) recycling center 2 has a good performance and for supplier 3 (700 500 800) and supplier 4 (400 950 0) recycling center 1 has a good performance. Then we need to improve the performance of the rest recycling centers per supplier. To measure the capabilities of multi-objective meta-heuristics we used Number of Pareto solutions spacing metric and quality metric criteria. Finally the results show that the proposed algorithm has high quality to solve the model. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
A New Perspective for Construction Supply Chains in Digital Era
(UNIV TUN HUSSEIN ONN MALAYSIA, 2024) Ozlem Koctas-Cotur; Yesim Deniz Ozkan-Ozen; Yucel Ozturkoglu; Ozkan-Ozen, Yesim Deniz; Ozturkoglu, Yucel; Koctas-Cotur, Ozlem
The construction industry is a highly labor-intensive industry with a low degree of automation and digitization. However as in the manufacturing industry a 'new order' is emerging for the way the construction industry works today. This study aims to present the transformation of construction supply chains (CSCs) in Industry 4.0 by considering each supply chain stage separately where the main purpose is to determine the criteria for the integration of the CSC with the Industry 4.0 perspective. A literature review and a Delphi study were conducted and thirteen criteria are proposed to show the integration of Industry 4.0 aspects and CSC stages. Furthermore one of the multi -criteria decision -making (MCDM) methods the Best -Worst method is used to prioritize the criteria for guiding future implications during the transformation of construction supply chains. Among the six CSC stages the design stage is the most important from the Industry 4.0 perspective. In addition client collaboration by ICT (BIM) during the design phase is the most important sub -factors' overall rank. Although there is a limited number of studies on the CSC there are no empirical studies addressing the current digital age approach. As a result there is a significant gap in the construction literature and a thorough assessment of the building supply chain in an Industry 4.0 setting is lacking. To the best of the authors' knowledge this is the first study to illustrate the transformation of CSCs in Construction 4.0 by looking at each supply chain stage separately.
Citation - WoS: 18
Citation - Scopus: 19
A proposed framework for multi-tier supplier performance in sustainable supply chains
(TAYLOR & FRANCIS LTD, 2023) Yigit Kazancoglu; Yucel Ozturkoglu; Sachin Kumar Mangla; Melisa Ozbiltekin-Pala; Alessio Ishizaka; Ozbiltekin-Pala, Melisa; Ishizaka, Alessio; Ozturkoglu, Yucel; Kazançoglu, Yigit; Mangla, Sachin Kumar
Over the past few years supply chains have become globalised and multi-tiered. These factors complicate their structure as the focal company is responsible for the problems experienced at each stage in the multi-tier supply chain. The critical issue for focal companies in managing their multi-tier supply chain is to adopt sustainability standards. One of the study's contributions is the role of weight determination in the tiers and evaluation of alternative suppliers in facilitating the effective management of multi-tier supply chains especially in complex industries such as the food industry. The other contribution of this study is its proposition for a multi-stage framework based on sustainability concerns. The study identifies 14 criteria for companies in diffusing sustainability standards throughout multi-tier supply chains. The weights of these criteria are determined for each tier of the food supply chain using the Best Worst Method. Results show that the 'environmental' criteria are most important for supply chain tiers in the food industry. Supply chain visibility/traceability is the most important criteria for the first tier followed by environmental responsibilities for the second and environmental competencies for the third. Finally for the food company PROMETHEE is used to evaluate three alternative suppliers for each tier.
A Proposed Model for Employee Competencies in Hospitality 4.0 Talent Management: H4TM
(INT JOURNAL CONTEMPORARY ECONOMICS & ADMINISTRATIVE SCIENCES, 2023) Ebru Esendemirli; Yucel Ozturkoglu; Ferika Ozer Sari; Ozturkoglu, Yucel; Sari, Ferika Ozer; Esendemirli, Ebru
Purpose of this study is to specify and prioritize the employee competencies in the context of key specialist jobs in lodging industry and to introduce a model as Hospitality 4.0 Talent Management. This study integrates the qualitative and quantitative approaches. To evaluate the performance of Talent Management with Hospitality 4.0 perspective the valid and reliable criteria are determined by a literature review. Next stage was to find out the weight and importance of each identified dimension by use of Best- Worst-Method (BWM). As a result a novel model is proposed to help lodging organizations to specify and prioritize their key employees' competencies in terms of hard soft and mixed skills for H4TM thus to map their post Covid-19 talent management practices effectively.
A Proposed New Approach for The Single Machine Scheduling Problem: Dynamic Programming
(2024) Yucel Ozturkoglu; OMER OZTURKOGLU; Yeşim Deniz Özkan Özen; Özen, Yeşim Deniz Özkan; Ozturkoglu, Yucel; Ozturkoglu, Omer
A traditional scheduling problem is one of the optimization problems that assign tasks to humans and machines in an optimal order. In real applications many jobs do not have a fixed processing time. During production some machines need to be cooled due to overheating. This activity which takes place outside periodic maintenance is called rate-modifying. During this time the job times increase with each passing second as Jobs wait to be assigned. The rate of deterioration due to this increase is called deteriorating jobs. This paper considers scheduling a set of deteriorating jobs with rate-modifying activity with a single processor. During the speed change activity the production process is halted resulting in increased completion times of jobs. The problem arose from the problem of a machine and an automatic production line. This problem is classified as an NP-Hard problem. The problem addressed by the study has been tried to obtain optimal results with different methods by considering different factors by many authors. When a detailed literature review is made it has been seen that no author has developed a dynamic programming model until today. The most significant advantage of dynamic programming models is that they provide solutions with the closest optimal result faster especially in solving problems classified as Np-Hard. Therefore a dynamic programming algorithm was developed for the first time for large job numbers of the focused problem. Therefore this study presents a dynamic programming algorithm to calculate the optimal solution. The algorithm's efficiency is proven on an extensive randomly generated sample data set. The results prove that the proposed algorithm provides the optimal solution with much less effort than the mathematical model.
Citation - WoS: 2
Citation - Scopus: 2
A solution approach proposal with a lean perspective for the poultry sector with WRM and BWM integration
(EMERALD GROUP PUBLISHING LTD, 2024) Elif Kiran; Yesim Deniz Ozkan-Ozen; Yucel Ozturkoglu; Kiran, Elif; Ozkan-Ozen, Yesim Deniz; Ozturkoglu, Yucel
PurposeThis study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.Design/methodology/approachThe study consists of two different applications. First the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then after determining lean tools for eliminating lean wastes the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).FindingsResults showed that overproduction is the most critical waste that impacts other wastes followed by defect waste. Due to the nature of the sector these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.Originality/valueThis is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition this study is the first to integrate the WRM and BWM.
Citation - WoS: 43
Citation - Scopus: 53
A sustainable and preventative risk management model for ship recycling industry
(ELSEVIER SCI LTD, 2019) Yucel Ozturkoglu; Yigit Kazancoglu; Yesim Deniz Ozkan-Ozen; Ozkan-Ozen, Yesim Deniz; Ozturkoglu, Yucel; Kazancoglu, Yigit
When the dynamic environment of ship recycling is considered many different severe risks may occur. These risks affect different dimensions including people environment and economic. The aim of the study is give a framework to guide managers and even policy makers to strive a holistic view in their preventative risk management activities in ship recycling. In this framework which is proposed for sustainable risk management in ship recycling industry risk areas related to occupational safety working conditions fluctuations in steel industry economic cycles in construction sector and direct and indirect environmental impacts are suggested to be considered. In order to deal with aforementioned risk areas several preventative actions are proposed such as, for people related risks Occupational Health and Safety Assessment Series (OHSAS) implementation, for economic risks responsiveness as a competitive strategy and for environmental risks green supply chain management implementation is proposed. For each action different sub factors are defined from the literature and for an effective implementation fuzzy DEMATEL method is used to analyze causal link between these factors. Finally managerial implications for sustainable risk management in ship recycling industry are presented. (C) 2019 Elsevier Ltd. All rights reserved.
An efficient time algorithm for makespan objectives
(2015) Yucel Ozturkoglu; Ozturkoglu, Yucel
This paper focuses on a single machine scheduling subject to machine deterioration with rate-modifying activities (RMA). The motivation for this study stems from the automatic-production line problem with one machine. The main question is to find the sequence in which jobs should be scheduled how many maintenance activity (RMA) to use if any and where to insert them in the schedule during the time interval with optimal makespan objective. This problem is known to be NPhard and we give concise analyses of the problem and provide polynomial time algorithms to solve the makespan problem. We also propose an algorithm which can be applied to some scheduling problems with the actual processing time of job nonlinearly based on its position.
Citation - WoS: 11
Citation - Scopus: 15
An Exploratory Analysis of Sustainability Indicators in Turkish Small- and Medium-Sized Industrial Enterprises
(MDPI, 2023) Ebru Saygili; Elif Uye Akcan; Yucel Ozturkoglu; Akcan, Elif Uye; Uye Akcan, Elif; Ozturkoglu, Yucel; Saygili, Ebru
Significant differences exist between the sustainability practices of large businesses and those of small- and medium-sized enterprises in the industrial sector. Small- and medium-sized enterprises have restricted access to capital resources and experience. Most sustainable manufacturing strategies are based on indicators and evaluation models developed for large firms. This study aims to identify sustainability indicators for small- and medium-sized industrial firms. The sustainability indicators are generated from the G4-specific standard disclosures of the Global Reporting Initiative which provide a triple-bottom-line approach. A total of 142 senior and middle sustainability-focused managers and partners participated in the survey. An exploratory factor analysis was performed in the first step and 12 key factors were found. The Best-Worst Method (BWM) was employed in the second step to rank the criteria in order of priority. As a theoretical contribution this study introduces human rights and economic impact on society as two additional sustainability indicators for small- and medium-sized enterprises. The two most significant aspects of sustainability for Turkish small- and medium-sized businesses are labor rights and energy saving. This study provides empirical evidence from a broad range of stakeholders for the conceptually addressed challenges of sustainability in prior studies. The results demonstrate empirically that the sustainability-based value creation for stakeholder interests such as employees at the core of business activities is greater in small and medium enterprises than for other stakeholders. This study's findings will give managers a framework for establishing key sustainability indicators for allocating the limited resources of small- and medium-sized enterprises.
An overview of Agri-Food Supply Chains in the COVID-19 Pandemic Period
(2021) ESRA EKINCI; Yucel Ozturkoglu; Berrak Çayır; Burak Arifoğlu; Çayır, Berrak; Ekıncı, Esra; Arifoğlu, Burak; Ozturkoglu, Yucel
Due to the global pandemic which has recently spread all over the world supply chain resilience and flexibility of industries became more important than ever. Due to the COVID-19 outbreak both the increase in consumption and the occasional halt in production have led to a focus on agricultural food supply chains. With this pandemic new challenges threats and different opportunities have emerged for agri-food supply chains. In this study the effects of COVID-19 on agri-food sector which has an important place in Turkey's economy has been discussed and the results have been compared with the world leader United States. The basis of the study will be to compare the agri-food supply chains of both countries on the basis of real data. A roadmap will be presented to identify the impacts in both countries and to see how they are dealing with a pandemic.
Citation - WoS: 63
Citation - Scopus: 74
Analysing the importance of sustainability-oriented service quality in competition environment
(WILEY, 2020) Turkan Muge Ozbekler; Yucel Ozturkoglu; Ozbekler, Turkan Muge; Ozturkoglu, Yucel
The logistics sector is one of the most important domains in the service sector in understanding the increasing scale of business activities along with globalization. Due to the nature of the service sector where competition is increasingly concentrated the main objective of firms is the creation of their strategy on competitive advantage in regard with knowing the level of quality of the services offered and the firm's image from the customers' point of view. Trying to adapt to the changing conditions of the market drives firms to integrate their competing areas into their sustainability dimensions (economic social and environmental) with the aim of increasing their perceived quality through differentiating their business to achieve a sustainable competitive advantage. The aim of this study is to examine the quality level perceived by logistics service providers in terms of triple bottom line approach and to determine the relationship between them for sustainable competition. In line with exploratory methods factor analysis was used with the aim of finding out a new scale to the literature about the examination of the relationship between quality perception and corporate sustainability in the frame of competition. In this context data of 120 logistics service providers were collected and analysed. According to the results the content of the subject consists of nine factors and 29 interrelated subdimensions. As a result of the research firms have emphasized on the importance of reaching the competition by expanding their quality perceptions within the scope of corporate sustainability in parallel with the increasing customer demands and expectations.
Citation - WoS: 3
Analysis of Corporate Governance and Financial Sustainability Using the TOPSIS Method
(INT JOURNAL CONTEMPORARY ECONOMICS & ADMINISTRATIVE SCIENCES, 2022) Tarik Saygili Arikan; Miray Gecim; Yucel Ozturkoglu; Ebru Saygili; Saygili, Arikan Tarik; Gecim, Miray; Ozturkoglu, Yucel; Saygili, Ebru
Stakeholders of listed companies are interested in the financial sustainability and corporate governance (CG) issues in the companies. This study aims to explore the relationship between corporate governance practices and financial sustainability in light of OECD principles of corporate governance. Altman's Z-scores and CG ratings of 20 companies listed in the Borsa Istanbul Corporate Governance Index (XKURY) were analyzed using the TOPSIS method. The results obtained in this study show that firms' financial sustainability and corporate governance scores don't move in the same direction for the years from 2013 to 2018.
Analysis of Sustainable E-Logistics Activities with Analytic Hierarchy Process
(2020) Yucel Ozturkoglu; Cansu Çakılcı; Çakılcı, Cansu; Ozturkoglu, Yucel
Purpose – The aim of this study is to determine the success factors that are critical for sustaining e-logistics activities with increasing internet shopping. In order to achieve this aim economic environmental and social dimensions which are the three important dimensions of sustainability have been discussed. Design/methodology/approach – Firstly a detailed literature review conducted to determine the allimpacts of e-logistics activities. Three main and six sub-criteria (transportation traffic physicallocation energy land use cost packaging emission and e-waste) were divided into classesaccording to the triple bottom line perspective. These criteria are investigated by using AnalyticHierarchy Process (AHP) one of the decision-making techniques to rank and assign weight of eachsub-criteria.Findings – The AHP results showed that carbon emission has the most influence on the sustainability and then physical location is the second most important e-logistics factor. Land use has the lower weight that means there is a little effect of e-logistics activities and e-waste is almost at the end of the list. Discussion – As a result this study contributes to both the academia and industry with its novelty to integrate sustainability dimensions with e-logistics operations. Based on the results the increasein internet shopping significantly increases carbon emissions in terms of environment perspective.In social dimension it affects the use of physical locations. Consumers are now shopping onlinerather than shopping at physical stores. Therefore the stores are closing and socially differentconsequences arise. When the results are taken from the economic point of view logistics costs arehighly affected. Companies need to close stores and open a warehouse or distribution center.
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.