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Showing papers by "Yaşar University published in 2020"


Journal ArticleDOI
24 Aug 2020
TL;DR: In this article, the authors discuss sustainable production and consumption pattern in the post-COVID-19 pandemic era, and discuss the different operations and supply chain perspectives for handling such disruptions in the future.
Abstract: The global production and supply chain system is mostly disrupted due to widespread of the coronavirus pandemic (COVID-19). Most of the industrial managers and policymakers are searching for adequate strategies and policies for revamping production patterns and meet consumer demand. Form global supply chain perspectives, the majority of raw materials are imported from China and other Asian developing nations. The COVID-19 pandemic has broken the most of transportation links and distribution mechanisms between suppliers, production facilities and customers. Therefore, it is imperative to discuss sustainable production and consumption pattern in the post-COVID-19 pandemic era. Most of the prominent economies around the world enforced a total lockdown, and the focus has since shifted to surge in demand for essential products and services. This has led to a decline in demand for some nonessential products and services. The production and operations management challenges of the pandemic situations are discussed and adequately proposes policy strategies for improving the resilience and sustainability of the system. This paper also discusses the different operations and supply chain perspectives for handling such disruptions in the future.

203 citations


Journal ArticleDOI
TL;DR: A survey of smart city initiatives and analyze their key concepts and different data management techniques by applying a complex literature matrix including terms, like smart people, smart economy, smart governance, smart mobility, smart environment, and smart living.
Abstract: Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result, smart cities emerged mainly as a result of highly innovative ICT industries and markets, and additionally, they have started to use novel solutions taking advantage of the Internet of Things (IoT), big data and cloud computing technologies to establish a profound connection between each component and layer of a city. Several key technologies congregate to build a working smart city considering human requirements. Even though the smart city concept is an advanced solution for today’s cities, recently, more living spaces should be discovered, and the concept of a smart city could be moved to these alternative living spaces, namely floating cities. The concept of a floating city emerged as a novel solution due to rising sea levels and land scarcity in order to provide alternative living spaces for humanity. In this article, our main research question is to raise awareness on the current state of smart city concepts across the world by understanding the key future trends, including floating cities, by motivating researchers and scientists through new IoT technologies and applications. Therefore, we present a survey of smart city initiatives and analyze their key concepts and different data management techniques. We performed a detailed literature survey and review by applying a complex literature matrix including terms, like smart people, smart economy, smart governance, smart mobility, smart environment, and smart living. We also discuss multiple perspectives of smart floating cities in detail. With the proposed approach, recent advances and practical future opportunities for smart cities can be revealed.

170 citations


Journal ArticleDOI
TL;DR: In this paper, synchronized barriers that integrate circular supply chain and Industry 40 barriers are presented, with theoretical and practical implications proposed according to the result of the implementation, and a decision-making method is used to prioritize the synchronized barriers.
Abstract: Transition from Industry 30 to Industry 40, in other words Industry 35 stage, and moving to a circular economy are two significant concepts for organizations that need to make wholesale alterations to their current systems In order to stay competitive, both these transitions need to follow sustainable resource management and digital transformation principles However, there are barriers to these changes that organizations should consider Both Industry 40 transition, in other words Industry 35, and circularity transition require great efforts to deal with these barriers; in the current environment, organizations need to deal with these barriers simultaneously for more sustainable resource management This study focuses in particular on circular supply chains in the Industry 35 stage There are some studies that suggest barriers to Industry 40 and circular supply chains separately, none of these studies consider them together From this point of view, this study contributes to existing literature by presenting synchronized barriers that integrate circular supply chain and Industry 40 barriers Firstly, pillars of circular supply chains in Industry 40 are explained; synchronized barriers are then presented A decision-making method, Fuzzy Analytical Network Process, is used to prioritize the synchronized barriers, with theoretical and practical implications proposed according to the result of the implementation

134 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigated the direct and indirect associations of neuroticism, trait anxiety, and trait fear of missing out with phubbing via state fear and problematic Instagram use.
Abstract: One of the relatively new negative consequences of smartphone use is “phubbing” (snubbing someone while an individual checks their smartphone in the middle of a real-life conversation). The purpose of the present study was to investigate the direct and indirect associations of neuroticism, trait anxiety, and trait fear of missing out with phubbing via state fear of missing out and problematic Instagram use. A total of 423 adolescents and emerging adults aged between 14 and 21 years (53% female) participated in the study. Findings indicated that females had significantly higher scores of phubbing, fear of missing out, problematic Instagram use, trait anxiety, and neuroticism. Path analysis showed that trait fear of missing out and neuroticism were indirectly associated with phubbing via state fear of missing out and problematic Instagram use. State fear of missing out was directly and indirectly associated with phubbing via problematic Instagram use. The present study is the first to demonstrate empirical evidence for the relationship between different dimensions of fear of missing out, problematic Instagram use, and phubbing.

126 citations


Journal ArticleDOI
TL;DR: In this article, the impact of renewable energy consumption on economic growth in the OECD countries was analyzed by applying the ordinary least squares with fixed effect estimator on the data from 1990 to 2010.

113 citations


Journal ArticleDOI
TL;DR: In this paper, the authors examined customers' intentions to visit green hotels by using the theory of planned behavior, and two constructs, environmentally friendly activities and overall image, were incorporated into the theory, and the extended theory of planning behavior model was tested.
Abstract: Over the last decade, many studies have started to focus on understanding customers' green purchase intentions since the increasing importance of environmental issues in the hotel industry. This study examined customers' intentions to visit green hotels by using the theory of planned behavior. Two constructs, environmentally friendly activities and overall image, were incorporated into the theory, and the extended theory of planned behavior model was tested. The aim of this study was to analyze the effects of the extended theory of planned behavior constructs (attitudes towards green hotels, subjective norms, perceived control, environmentally friendly activities, and overall image) on visit intentions and also to predict the effects of visit intentions on willingness to pay, satisfaction, and loyalty. Within this aim, the research model was formed to show the antecedents and consequences of intentions to visit green hotels. Data were collected by face‐to‐face survey technique, and 400 usable questionnaires were held from the customers in Izmir City, Turkey. In the findings, four of five constructs in the antecedents of intentions, except perceived control, were found as significant, and all three consequences of intentions were found as significant. The results of the study supported the usage of the extended theory of planned behavior in the context of green hotels. Theoretical contributions and discussions were explained lastly.

89 citations


Journal ArticleDOI
TL;DR: This article investigated individual differences associated with COVID-19 conspiracy beliefs; whether such conspiracy beliefs are related to the level of compliance with preventive measures; and other individual differences that might be related to preventive measures Higher faith in intuition, uncertainty avoidance, impulsivity, generic conspiracy beliefs, religiosity, and right-wing ideology, and a lower level of cognitive reflection were associated with a higher level of belief in conspiracy theories.
Abstract: COVID-19 pandemic has led to popular conspiracy theories regarding its origins and widespread concern over the level of compliance with preventive measures In the current preregistered research, we recruited 1088 Turkish participants and investigated (a) individual differences associated with COVID-19 conspiracy beliefs; (2) whether such conspiracy beliefs are related to the level of preventive measures; and (3) other individual differences that might be related to the preventive measures Higher faith in intuition, uncertainty avoidance, impulsivity, generic conspiracy beliefs, religiosity, and right-wing ideology, and a lower level of cognitive reflection were associated with a higher level of belief in COVID-19 conspiracy theories There was no association between COVID-19 conspiracy beliefs and preventive measures while perceived risk was positively and impulsivity negatively correlated with preventive measures We discuss the implications and directions for future research

88 citations


Journal ArticleDOI
TL;DR: In this article, a literature review to reveal criteria for logistics centers in Industry 4.0 is conducted, and fuzzy multi-criteria decision-making methodology is used to present the importance order, and the causal relationship between criteria to make recommendations for future implications.
Abstract: This study focuses on the transformation of logistics centers in Industry 4.0. Aim is to reveal the important criteria for logistics centers in Industry 4.0 by considering link to traditional logistics centers practices and proposing a framework for new logistics centers. Initially, literature review to reveal criteria for logistics centers in Industry 4.0 is conducted. Secondly, fuzzy multi-criteria decision-making methodology is used to present the importance order, and the causal relationship between criteria to make recommendations for future implications. The results may be useful for logistics center’s professionals in transition process, and new research topics may be derived for academics.

80 citations



Journal ArticleDOI
TL;DR: A critical review of some of the widely used microsimulation packages is provided in this paper, intended to provide insights into the future of research in these areas.
Abstract: Due to the menacing increase in the number of vehicles on a daily basis, abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic, the urban transportation system needs effective solution methodologies. Changes made in the urban infrastructure will take years, sometimes may not even be feasible. For this reason, traffic signal timing (TST) optimization is one of the fastest and most economical ways to curtail congestion at the intersections and improve traffic flow in the urban network. Researchers have been working on using a variety of approaches along with the exploitation of technology to improve TST. This article is intended to analyze the recent literature published between January 2015 and January 2020 for the computational intelligence (CI) based simulation approaches and CI-based approaches for optimizing TST and Traffic Signal Control (TSC) systems, provide insights, research gaps and possible directions for future work for researchers interested in the field. In analyzing the complex dynamic behavior of traffic streams, simulation tools have a prominent place. Nowadays, microsimulation tools are frequently used in TST related researches. For this reason, a critical review of some of the widely used microsimulation packages is provided in this paper. Our review also shows that approximately 77% of the papers included, utilizes a microsimulation tool in some form. Therefore, it seems useful to include a review, categorization, and comparison of the most commonly used microsimulation tools for future work. We conclude by providing insights into the future of research in these areas.

60 citations


Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the energy-growth-environment nexus in cooperation with globalization, urbanization, life expectancy and biocapacity as control variables by using both consumption-based and production-based approaches in an Environmental Kuznets Curve (EKC) framework.

Journal ArticleDOI
TL;DR: In this article, the authors examined the nature of human-based behavioral factors (BFs) for sustainable supply chain management (SSCM) practices towards operational excellence in supply chains, particularly within the context of the footwear industry of Bangladesh.
Abstract: Sustainable supply chain management (SSCM) has become a popular research topic among scholars as evidence suggests it has significantly contributed to achieve more environmentally conscious and socially responsible supply chains. Operational excellence (OE), on the other hand, can be achieved by incorporating SSCM practices within existing supply chain operations. However, due to human expertise, involvement and commitment towards excelling at sustainable and operational performance, the effective deployment of SSCM practices now depends on various human-based behavioral factors (BFs). Human behavior is dynamic in nature and hence has an effect on the implementation of SSCM practices. Nevertheless, research on BFs in view of SSCM practices is limited. To fill this knowledge gap, this study examines the nature of BFs for SSCM practices towards OE in supply chains, particularly within the context of the footwear industry of Bangladesh. In the first phase, the BFs were identified and determined through a literature review and empirical investigation. In the second phase, the Hesitant Fuzzy DEMATEL method was used to establish the cause-effect relationships among the factors. The influence of group validation by experts and a literature survey, along with managerial implications, was discussed and explained in the third phase of the study. The results suggest that the factor, ‘organization culture’ is the most influencing behavioral factor, followed by ‘commitment from higher authority’. Both theoretical and practical contributions of the study are drawn from its findings, helping footwear industry managers to more effectively adopt SSCM practices in the supply chain operations of their organizations to achieve OE.

Journal ArticleDOI
TL;DR: In this article, the circular supply chain barriers for textile companies to implement the circular economy were analyzed. But the main contributions of the study were to propose a specific specific approach to solve the problem.
Abstract: 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...

Journal ArticleDOI
TL;DR: In this paper, a bi-objective mixed-integer programming model formulation was developed for the problem using a speed-scaling framework to address the conflicting objectives of minimizing total flowtime and total energy consumption.
Abstract: The permutation flowshop scheduling problem (PFSP) has been extensively explored in scheduling literature because it has many real-world industrial implementations. In some studies, multiple objectives related to production efficiency have been considered simultaneously. However, studies that consider energy consumption and environmental impacts are very rare in a multi-objective setting. In this work, we studied two contradictory objectives, namely, total flowtime and total energy consumption (TEC) in a green permutation flowshop environment, in which the machines can be operated at varying speed levels corresponding to different energy consumption values. A bi-objective mixed-integer programming model formulation was developed for the problem using a speed-scaling framework. To address the conflicting objectives of minimizing TEC and total flowtime, the augmented epsilon-constraint approach was employed to obtain Pareto-optimal solutions. We obtained near approximations for the Pareto-optimal frontiers of small-scale problems using a very small epsilon level. Furthermore, the mathematical model was run with a time limit to find sets of non-dominated solutions for large instances. As the problem was NP-hard, two effective multi-objective iterated greedy algorithms and a multi-objective variable block insertion heuristic were also proposed for the problem as well as a novel construction heuristic for initial solution generation. The performance of the developed heuristic algorithms was assessed on well-known benchmark problems in terms of various quality measures. Initially, the performance of the algorithms was evaluated on small-scale instances using Pareto-optimal solutions. Then, it was shown that the developed algorithms are tremendously effective for solving large instances in comparison to time-limited model.

Journal ArticleDOI
TL;DR: In this paper, the authors examined the quality level perceived by logistics service providers in terms of triple bottom line approach and determined 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 relation between quality perception and corporate sustainability in the frame of competition.
Abstract: 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.

Journal ArticleDOI
TL;DR: In this article, a hybrid wavelet and gene expression programming (GEP) model was proposed to model the SPEI at three different time scales (SPEI-3, SPEPI-6, and SPEP-12) from six meteorology stations located in Turkey.

Journal ArticleDOI
TL;DR: In this article, a combination of sensitivity and uncertainty analyses with a machine learning technique is proposed as a tool for selection of the best input combination for modeling process at non-deposition conditions of sediment transport.

Journal ArticleDOI
TL;DR: In this article, the authors investigate the volatility spillover effect among the global commodity futures (including both energy and metal futures), global stock markets (covering both developed and emerging markets); the US bond market and the US Dollar index by employing the dynamic connectedness approach of (Diebold and Yilmaz, 2012, 2014) based on the time-varying parameter vector autoregressive (TVP-VAR) model and using daily data for the period from January 3, 1992 to December 27, 2019.

Journal ArticleDOI
TL;DR: In this article, the authors applied a time series-based model, namely fractionally autoregressive integrated moving average (FARIMA), as well as two machine learning-based models consisting of feed-forward back propagation neural networks (FFBPNN) and gene expression programming (GEP) for daily soil temperature estimation.
Abstract: Estimation of soil temperature (ST) as one of the vital parameters of soil, which has an impact on many chemical and physical characteristics of soil, is of great importance in soil science. This study applies a time series-based model, namely fractionally autoregressive integrated moving average (FARIMA), as well as two machine learning-based models consisting of feed-forward back propagation neural networks (FFBPNN) and gene expression programming (GEP) for daily ST estimation. In doing so, the daily ST data of three stations at four depths (5, 10, 50, and 100 cm) in Iran were used for the time period from 1998 to 2017. Studied stations were selected from different climates including arid (Isfahan station), semi-arid (Urmia station), and very humid (Rasht station) to evaluate the performance of models and generalize the outcomes in different climate classes. The performances of the developed models are evaluated via three statistical metrics including the root mean square error (RMSE), mean absolute error (MAE), and relative RMSE (RRMSE). Results obtained demonstrated that the machine learning-based FFBPNN and GEP models performed better than the time series-based FARIMA approach at all depths. As a result, negligible differences were observed between the accuracies of FFBPNN and GEP. In addition, this study developed novel hybrid models through combining the FFBPNN and GEP techniques with the FARIMA to enhance the accuracy of traditional FARIMA, FFBPNN, and GEP. The developed hybrid models named GEP-FARIMA and FFBPNN-FARIMA were found to achieve better estimates of daily ST data at different depths in comparison with the classical models. The daily ST estimates with the highest accuracy were observed at a depth of 50 cm via the GEP-FARIMA at Isfahan station (RMSE = 0.05 °C, MAE = 0.03 °C, RRMSE = 0.25% for the testing phase), the GEP-FARIMA at Urmia station (RMSE = 0.04 °C, MAE = 0.03 °C, RRMSE = 0.26% for the testing phase), and the FFBPNN-FARIMA at Rasht station (RMSE = 0.07 °C, MAE = 0.05 °C, RRMSE = 0.35% for the testing phase).

Journal ArticleDOI
TL;DR: This article explores machine learning techniques for user authentication on HugaDB database which is a human gait data collection for analysis and activity recognition (Chereshnev and Kertesz-Farkas, 2017).

Journal ArticleDOI
TL;DR: An experimental study for shuttle-based storage and retrieval system (SBS/RS) design to identify significant factors affecting the performance metrics in the system and the best levels of these critical design factors improving the performance measures are identified.

Journal ArticleDOI
TL;DR: This study proposes both mixed-integer linear programming (MILP) and constraint programming (CP) model formulations for the energy-efficient bi-objective no-wait permutation flowshop scheduling problems (NWPFSPs) considering the total tardiness and the total energy consumption minimization simultaneously.

Journal ArticleDOI
TL;DR: This study is designed to generalize incipient deposition models by including of a cross-section shape factor into the model parameters, which results in improving their performances in MARS-MNLR and RF- MNLR models by a factor of 25% in contrast to MNLR model.

Journal ArticleDOI
TL;DR: Output of the study is potentially beneficial in guiding governmental decisions to ensure the sustainability of air quality, and the use of the model, future implications of various air quality factors on environmental sustainability can be assessed.

Journal ArticleDOI
TL;DR: In this article, a decision tool under uncertain and risky conditions for achieving sustainability in electronic waste (e-waste) recycling in circular economy is developed, and 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.
Abstract: 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 Decisao Interativa Multicriterio) 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. Relationship between prospect theory and sustainability risk assessment.

Journal ArticleDOI
TL;DR: In this article, the direct and indirect effects of childhood emotional abuse (CEA) on cyberbullying perpetration via trait mindfulness and trait emotional intelligence (TEI) were investigated.
Abstract: Preliminary studies have indicated that childhood emotional maltreatment (i.e., abuse and neglect) can be associated with higher cyberbullying perpetration (CBP) among university students. The purpose of the present study was to test the direct and indirect effects of childhood emotional abuse (CEA) on CBP via trait mindfulness and trait emotional intelligence (TEI). A total of 470 adolescent students participated in the study and completed a questionnaire comprising measures of the aforementioned variables. Path analysis showed that trait mindfulness, but not TEI, was a partial mediator between CEA and CBP among the total sample, males, and females. Results indicated that there were other factors that explain the relationship between CEA and CBP in addition to lower mindfulness. These findings suggest that developing mindfulness-based intervention programs for adolescents who have been emotionally abused as a child may reduce their engagement in cyberbullying. This study is the first to document the direct role of CEA on CBP and indirect via trait mindfulness among adolescents.

Journal ArticleDOI
TL;DR: In this paper, an attempt has been made to improve the performance of green supply chain management by examining and evaluating the green operational excellence of a hot dip galvanizing company by using fuzzy analytic network process.
Abstract: Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco‐packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.

Journal ArticleDOI
TL;DR: In this article, the authors show the importance of risk management in the operations of modern enterprises in the SMEs sector and the attitudes of entrepreneurs towards key business risks, based on data collected using the CSAQ method in the period from 12- November 2019 to 9 of March 2020.
Abstract: Research background: The risk management process is a key element in running a business. Moreover, it is basically one of the basic and most important internal processes in any company, regardless of its size. However, due to the extremely important role played by small and medium-sized enterprises in the economy, the problem of proper management of endogenous and exogenous risks becomes particularly important. Purpose of the article: The article aims to show the importance of risk management in the operations of modern enterprises in the SMEs sector and the attitudes of entrepreneurs towards key business risks. Methods: The research was based on data on 332 enterprises from the SMEs sector operating in Poland. The data was collected using the CSAQ method in the period from 12 of November 2019 to 9 of March 2020. The distribution of risk assessment in the studies was analysed using Tau Kendall statistics, while the risk management index was created by examining the attitudes of entrepreneurs towards individual risk factors. Findings & Value added: The results of the survey showed that three-quarters of enterprises did not manage risk in a formalized way and that decision-makers in enterprises often paid too little attention to the issues related to managing different types of risk. The article should, therefore, draw the attention of managers to the need to build appropriate procedures to enable effective risk management that creates opportunities for the safe operation of the enterprise. The added value of the work is a detailed analysis of the management of individual types of endogenous and exogenous risks, as well as an indication of what features of enterprises affect the effectiveness of actions taken in the field of controlling these risks. Research is valuable because of the small amount of studies that links managers' approaches to risk management with actual risk management effectiveness.


Journal ArticleDOI
TL;DR: The aim of this study is to investigate how the user is involved in urban space, and to analyze the relationship between urban space components and the users’ movement to be able to develop a model for user movement simulation.