Web of Science ve Scopus Atıf Dizinlerindeki Yayınlar

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https://hdl.handle.net/11363/675

Web of Science ve Scopus Atıf Dizinlerindeki Yayınlar / Publications in Web of Science and Scopus Citation Indexes

Listeleniyor 1 - 20 / 492

Human Capital Flight in ECOWAS Subregion: The Heterogeneous Influences of Macroeconomic and Institutional Factors
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ, 2025) Olanipekun, Ifedolapo Olabisi; Irughe, Roland Ighiwiyisi
This study demonstrates a deep concern about the forces behind the recent upsurge of human capital flight in ECOWAS despite the crucial need for human capital in their development process. In five separate models, the heterogeneous impacts of macroeconomic and institutional variables on migration in ECOWAS are examined between 2009 and 2023 using a panel quantile approach with nonadditive fixed effects. The results explain that the impacts of the selected macroeconomic and institutional determinants of human capital flight are heterogeneous through the quantiles. Specifically, poor institutional qualities in terms of governance, corruption, freedom and accountability, and political stability are important sources of human capital flight. There are more robust indications that human capital flight increases as income and unemployment increase while it reduces with increased life expectancy. The study recommends stronger institutional frameworks to increase public confidence and reduce pessimism. Peaceful political transitions, equity, transparency, and effective governance can create more attractive economic opportunities to reduce the problem of unemployment and, ultimately, reduce human capital flight in ECOWAS.
The effect of the uniforms and attitudes of the flight attendants on passenger repurchase intention, and the mediating role of brand imagery and brand perception
(TAYLOR & FRANCIS AS, KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY, 2025) Aslan, Mustafa; Güngör, Habibe; Önler Çiğdem, Büşra
In a competitive airline industry, even small details, like the cabin crew’s uniforms and demeanor, can significantly influence passenger loyalty, and hence, this study aims to reveal how the cabin crews’ attitudes, behaviors, and uniforms shape passengers’ loyalty through brand imagery and brand perception. The data was collected from airline passengers by utilizing the convenient sampling method. A total of 488 surveys out of 520 participants were included in the analyses conducted using Partial Least Squares - Structural Equation Modelling (PLS-SEM) software. The results show that the appearances and attitudes of uniformed cabin crews significantly affect the repurchase intention, and while the brand perception only mediates the effect of attitudes on repurchase intention, the brand imagery both appearances and attitudes of uniformed cabin crews. Results suggest that airlines need to pay attention to both the attitudes and the appearance of the cabin crew to make the passengers feel that the airline is their own extent and, in return, to increase passengers’ repurchase intention. Unlike previous studies, this research focuses on the interplay between visual branding through uniforms and passengers’ psychological mechanisms driving loyalty explained by Social Identity Theory and Aesthetic Labor Theory. This research demonstrates the strategic role of cabin crew in creating a brand experience that is different but reflective of their own identity.
The Impact of Artificial Intelligence Applications on Digital Banking in Turkish Banking Industry
(HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2024) Demirel, Serkan; Topçu, Murat
Tis paper presents the efects of chat box (C.B.) and video call (V.C.) artifcial intelligence applications, which are becoming increasingly common in the banking system in parallel with the development of information systems on the number of digital banking users, and the relationship between the variables is investigated. Te data set of the variables consists of a total of 44 observation points between the 1st quarter of 2012 and the 4th quarter of 2022. Te cointegration relationship between the variables is examined using the ARDL cointegration test. According to the F statistic results for cointegration hypothesis testing, there is a statistically signifcant relationship between the variables at a 1% signifcance level. In the long run, a 1% increase in Chat Box users causes an increase of approximately 0.2% in the number of mobile banking users. A 1% increase in Chat Box users in the short term increases the number of mobile banking users in the current period by approximately 0.03%. A 1% increase in video call users in the long term causes an increase of approximately 0.04% in the number of mobile banking users. A 1% increase in the number of video calls in the current period increases current period mobile banking applications by approximately 0.005%. It has been determined that the efect of chat box applications on mobile banking is higher than that of video call applications. In addition, there is a close correlation between mobile banking and the independent variable chat box, no correlation between mobile banking and video calling, and a moderate correlation between chat box and video calling. All fndings mean that artifcial intelligence applications positively contribute to the expansion of mobile banking.
Assessing the efficiency of pure-play internet banks in South Korea, Japan and China with data envelopment analysis
(INCISIVE MEDIA, HAYMARKET HOUSE, 28-29 HAYMARKET, LONDON SW1Y 4RX, ENGLAND, 2024) Öcal, Hüseyin; Bağcı, Erdem; Kamil, Anton Abdulbasah
This study aims to provide empirical insight into the efficiency of major pure-play internet banks in South Korea, Japan and China (that is, KakaoBank, K Bank, Sony Bank, Jibun Bank and WeBank). We employed the data envelopment analysis model and adopted a profit-oriented approach to measuring the efficiency of the banks between 2017 and 2020. In addition, we ran fixed cross-section regression to measure the relationship between net profit and the input and output variables. We found that in 2017 Sony Bank was run efficiently, but KakaoBank, K Bank and Jibun Bank were run inefficiently. In 2018 WeBank and Sony Bank were efficient, and the efficiency scores of KakaoBank and Jibun Bank were close to 1, meaning they ran fairly efficiently; however, K Bank was run inefficiently. In 2019 KakaoBank, WeBank and Sony Bank were run efficiently, and Jibun Bank’s efficiency score was close to 1, meaning it was run fairly efficiently, but K Bank was run inefficiently. In 2020 KakaoBank and Sony Bank were run efficiently but K Bank was run inefficiently. In addition, Jibun Bank’s efficiency score decreased slightly compared with 2019. Fixed cross-section regression showed the strongest relationship between net profit and noninterest expense. However, the relationship between net profit and noninterest income is also strong. We recommend that banks prioritize managing noninterest expenses and income to achieve sustainable profits.
Revealing The Relationships of Trust in Chatbot Applications in The Accommodation Sector With Consumer Innovativeness and Purchase Intention
(UNIV NOVE JULHO, AV FRANCISCO MATARAZZO 612, AGUA BRANCA, SAO PAULO C05001-100, BRAZIL, 2024) Tanrıverdi, Haluk; Çıkı, Kartal Doğukan
Objective: The approaches of innovative consumers who have benefited from the chatbot applications of accommodation businesses operating in Istanbul to chatbot applications have been examined. The aim of the research is to determine whether there is a relationship between consumers' trust in chatbot applications and their level of innovativeness and purchase intentions. Method: The sample of the research was reached by convenience sampling method and the questionnaire application was carried out. 417 usable questionnaires were obtained and then the data were analyzed by correlation analysis and difference tests. Originality/Relevance: There is a lack of studies linking consumer innovativeness and trust in chatbot applications, especially in tourism and hospitality research. This research is one of the first attempts to empirically examine the use of chatbot applications, an artificial intelligence technology platform, in hospitality businesses and to empirically examine consumers' trust in the technology and their level of innovativeness along with their purchase intentions. Main results: The results of the research revealed that there is no significant relationship between the "benevolence dimension" of trust in chatbot applications and consumer innovativeness; however, there is a significant relationship between the "competence dimension" and the "honesty dimension" of trust and consumer innovativeness. Similar findings were found between trust in chatbot applications and purchase intention. Theoretical/methodological contributions: Although the results of this research represent a limited area, they show the gap in the relevant literature and provide important clues to industry pioneers.
Evaluation of Anxiety Levels and the Effect of Video Information on the Anxiety Levels of Parents Whose Children Undergo Oral Food Challenge
(Turkish Natl Soc Allergy and Clinical Immunology, Mustafa Kemal Mh. 2124 Sk No: 16/4 Sogutozu-Cankaya, Ankara 0000, TURKIYE, 2024) Yılmaz Topal, Özge; Turgay Yağmur, İrem; Üneri, Özden Şükran; Kara Uzun, Aysun; Toyran, Müge; Çöp, Esra; Dibek Mısırlıoğlu, Emine
Objective: The Oral Food Challenge Test (OFC) is the gold standard for diagnosing or excluding food allergies. OFC in children may cause anxiety in the parents. The study aims to evaluate parental anxiety during children’s OFC, examining the impact of informational videos with instructions, comparing anxiety levels between tested children’s parents and healthy controls, and correlating parental anxiety with psychological symptoms. Materials and Methods: The study included parents of children over 18 months of age undergoing OFC. All parents received verbal/ written test information and some got informational videos. State-Trait Anxiety Inventory (STAI) and Symptom Checklist-90-Revised (SCL-90-R) were used as questionnaires. Results: The median age of the 44 patients included in the study was 25.3 (IQR:20.2-41.6) months, and the median age of the 23 healthy children in the control group was 30 (IQR:23.85-43.96) months (p=0.125). Among the parents of the patients undergoing OFC, 29 (65.9%) were informed verbally/with text, and 15 (34.1%) were additionally provided information through video. Fourteen (31.82%) of the patients had an anaphylactic reaction in their history, and 36 (81.82%) patients were tested to evaluate the development of tolerance. No significant differences were detected in the STAI-T and STAI-S scores between parents of the control group and those of the group undergoing OFC. No statistically significant difference was observed in the assessment of the pre-OFC STAI-S scores of the patients’ parents between those who received verbal/written information and those additionally informed via video. Among the parents’ of patients without reactions during OFC, a decrease was noted in the post-test STAI-S scores compared to pre-test scores. STAI-T scores of the parents of patients undergoing OFC exhibited positive correlations with the general symptom index, anxiety, obsession, depression, interpersonal sensitivity, psychosis, paranoid, anger, and phobia parameters, as determined by the psychological symptom screening scale. Conclusion: As evidenced by our study, the absence of reactions during OFC resulted in a reduction of parental anxiety. The effect of additional video information with verbal and written instructions on anxiety remains unclear in this study. Limited sample size may be a factor; further research with larger cohorts is needed before making generalized conclusions.
The role of institutional quality on tourist arrivals in leading emerging economies
(SPRINGER INDIA, 7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA ROAD, NEW DELHI 110 001, INDIA, 2024) Uzar, Umut; Eyüboğlu, Kemal; Alola, Uju Violet
This study explores the relationship between tourist arrivals and institutional quality in leading emerging economies (Brazil, China, India, Indonesia, Mexico, Russia, and Turkey) during 1996 to 2022. By utilizing principal component analysis for dimensions of governance performance, such as voice and accountability, political stability and absence of violence/terrorism, government efectiveness, regulatory quality, rule of law, and control of corruption, this study develops a comprehensive index that enables a nuanced understanding of the collective efect of these dimensions on tourism. The results of the panel data estimations indicate that institutional quality positively afects tourist arrivals in all countries, with strong efects in Mexico, Russia, and Turkey. Additionally, the study accounts for economic growth, the real efective exchange rate, and gross fxed capital formation, all of which show that overall, tourist arrivals increase in response to economic growth, decline in response to the exchange rate, and increase in response to gross fxed capital formation, with country-specifc efects. Granger causality evidence supports these fndings, implying the need for a comprehensive policy review to encourage the tourism industry in these countries.
Improving students’ academic integrity through academic integrity training (AIT) program in higher education
(EMERALD GROUP PUBLISHING LTD, Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND, 2024) Ramdani, Zulmi; Natanael, Yonathan; Liem, Andrian; Kamil, Anton Abdulbasah; Hadiana, Deni; Warsihna, Jaka
Purpose – The study examines the effectiveness of an academic integrity training program called Academic Integrity Training (AIT) in improving students’ academic integrity among final-year students. Design/methodology/approach – The research design used was one group pretest and posttest (n 5 40) students in research proposal courses. Findings – Analysis with stacking and racking analysis showed a change in the distribution of the Logit Value Person (LVP) and Logit Value Item (LVI) values on the side of the subjects and items used forthis study. Testing with a paired sample t-test yielded a value of t 5 �3.059 and a significance (p) 5 0.004, indicating that there was a significant increase in LVP at the pre-test (M 5 2.52 & SD 5 1.56) and post-test (M 5 3.33 & SD 5 2.09) in the subject of the study. Practical implications – The study results concluded that this academic integrity training program can improve students’ academic integrity and is designed and implemented with the right personal approach to suppress academic dishonesty, especially the problem of plagiarism among graduate students submitting thesis proposals. Originality/value – Academic dishonesty has been a major problem in higher education over the last two decades. Various strategies have been attempted to address the condition, but no program has been found to directly address the problem on the personal order or individuals who do so.
Effect of domestic material production on environmental sustainability in EU countries under changing financial development: a dynamic panel threshold regression approach
(SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2024) Usman, Ojonugwa; Iorember, Paul Terhemba; Alola, Andrew Adewale; Bekun, Festus Victor
Although the European Union (EU) has made signifcant progress towards achieving the Sustainable Development Goals (SDGs), the goal of sustainable consumption and production (SDG 12) is reported to be far from being achieved in the region. This study examines the efect of domestic material production on environmental sustainability (measured by greenhouse gas emissions) at diferent levels of fnancial development in 19 EU countries over the period 2000–2017. Using a dynamic panel threshold regression approach, the results provide evidence that domestic material production increases greenhouse gas emissions only when fnancial development is below a threshold of 0.8743%. The efect of domestic material production on greenhouse gas emissions is negative and insignifcant when fnancial development exceeds the estimated threshold. The results further show that domestic material consumption, fnancial development and investment in research and development all hinder environmental sustainability by intensifying greenhouse gas emissions. Moreover, the results indicate that income per capita and renewable energy improve environmental sustainability by dampening greenhouse gas emissions. The robustness of these results is tested using fxed-efects ordinary least squares and random-efects generalised least squares with Driscoll-Kraay standard errors. Therefore, this study ofers policy implications for achieving a sustainable environment.
An evaluation of the footprint of diversification strategy in the tourism sector: a global perspective
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2024) Solarin, Sakiru Adebola; Lasisi, Taiwo Temitope; Bekun, Festus Victor
For the first time, the relationship between tourism market diversification and a comprehensive measure of environmental degradation – ecological footprint, has been examined in this study. Using a Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, additional explanatory variables have been recognised in the analysis. A recently introduced quantile regression approach has been used to investigate the differential impacts of tourism market diversification in 94 host countries, during 1995–2018. The findings suggest that tourism market diversification generates more ecological footprint in the countries. An examination of the relationship has been further conducted with the countries divided into different income clusters. It is shown that tourism market diversification generates a lower ecological footprint in low-income countries. In lower middleincome countries and upper middle-income countries, tourism market diversification generates a greater ecological footprint. Tourism market diversification does not significantly affect the ecological footprint in high-income countries.
Regarding a Novel Subclass of Harmonic Multivalent Functions Defined by Higher-Order Differential Inequality
(SPRINGER INT PUBL AG, GEWERBESTRASSE 11, CHAM CH-6330, SWITZERLAND, 2024) Çakmak, Serkan
In this paper, we present a novel subclass of multivalent harmonic functions that incorporates higher-order derivatives within an open unit disk. We investigate growth estimates, convexity radii, starlikeness, and coefficient bounds specific to this class. Furthermore, we explore the closed property of this subclass under convolution operations.
The Anomaly of Cancer Incidence in Denmark: The Fuzzy Line between Gender-disaggregated GDP per Capita, Inflation, and Cancer Incidence
(KARE PUBL, Goztepe Mah. Fahrettin Kerim Gokay Caddesi. No: 200/A D:2 Cemenzar - Kad koy, ISTANBUL 34720, Turkiye, 2024) Çiğdem, Gülgün
OBJECTIVE The increasing incidence of cancer in a highly affluent and developed country like Denmark raises a remarkable problem. This research deeply examines the complex relationships between cancer incidence, GDP (Gross Domestic Product) per capita, and inflation in Denmark. METHODS Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) Unit Root Tests, Toda-Yamamoto Causality Test have been used. RESULTS Analyses of data on male and female cancer incidence, GDP per capita growth (annual %), and inflation yield striking results. For instance, the unidirectional causal relationship from male cancer incidence to female cancer incidence is striking. At the same time, the bidirectional causality between GDP per capita and male cancer incidence is also an interesting finding. The finding of a unidirectional causality from female cancer incidence to GDP per capita and unidirectional causal relationship from inflation to female cancer incidence is also important emphasis. CONCLUSION This study is a continuation of the tests of the Crisis-Cancer Cycle (CCC) hypothesis proposed by Çiğdem and is an important step towards understanding the complexity behind the cancer surge, concretizing the potential effects of monetary policies on health and informing policymakers.
Do the Political Uncertainty and Geopolitical Risk Indexes in the G-7 Countries Relate to Stock Prices? Fourier Causality Test Evidence
(TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, 2024) Tütüncü, Asiye; Savaş Çelik, Burcu; Kahveci, Şükran
This study aims to examine the reciprocal effects of the Economic Policy Uncertainty (EPU) and the Geopolitical Risks (GPR) on the stock markets (SP) of the G-7 countries. The findings of the study will allow us to answer the following questions: Do risk and uncertainty conditions in other G-7 countries affect their stock markets as much as those in the country itself? Which affects G-7 stock markets more, EPU or GPR? In addition to previous research in the field, this study conducts a comparative analysis of the effects of the EPU and GPR on the SP of G-7 countries. Therefore, we used the linear VAR Granger, Fourier and Fourier Fractional Frequency Granger Causality tests. We found that the EPU indices of the United States, United Kingdom, and Germany had the greatest impact on the stock markets of their respective countries and other G-7 countries, and the conclusion that G-7 stock markets were influenced by economic uncertainties in other member countries was added to the literature. It has also been found that the G-7 stock markets have a broad influence on the EPU index.
The global burden of overweight-obesity and its association with economic status, benefiting from STEPs survey of WHO member states: A meta-analysis
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2024) Islam, A. N. M. Shamsul; Sultana, Hafıza; Refat, Md. Nazmul Hassan; Farhana, Zaki; Abdulbasah Kamil, Anton; Rahman, Mohammad Meshbahur
Introduction: The World Health Organization (WHO) 2030 agenda for Sustainable Development Goals (SDGs target 3.4) identifies non-communicable diseases (NCDs) as a key challenge for sustainable development. As one of the major NCD risks, here, we estimated the prevalence of overweight/obesity in adults and assessed countryeconomic variations using meta-analysis. Methods: The latest STEPwise approach to NCD risk factor surveillance (STEPS) report of WHO member states studied on overweight/obesity from 2000 to 2020 were reviewed and related data were assessed further. The prevalence of overweight/obesity was pooled using the random effects model. The subgroup analysis and metaregression were performed based on countries’ economic status obtained from the World Bank’s country development index 2019. Study heterogeneity and publication bias were also observed. Results: Out of 73 studies with 469,766 participants analyzed, the highest overweight/obesity prevalence was found in American Samoa (93.5 %), while Democratic People’s Republic of Korea had the lowest prevalence (4.4 %). The overall weighted pooled prevalence of overweight/obesity regardless of countries economic status was 37.0 % [95 % CI: 33 %-42 %]. There was significant heterogeneity in the prevalence of overweight/obesity (I2 = 99.91 %; p < 0.001). Subgroup analysis revealed a higher prevalence in high-income countries [60 %; 95 % CI: 47 %-72 %]. Meta-regression revealed a significant (p = 0.001) association and a 14 % increase chance of having overweight/obesity with increasing economic status. Conclusion: The prevalence of overweight/obesity is high worldwide, especially in high-income countries that demands a large-scale awareness campaigns and effective initiatives to control overweight/obesity and the associated risk factors of adults of these countries.
Measurement of Education Effectiveness in the BRICS countries and Turkey
(HIPATIA PRESS, C-CLARAMUNT 4, BARCELONA 08030, SPAIN, 2024) İmre-Bıyıklı, Süreyya; Abdulbassah Kamil, Anton
The high literacy rate in a country shows that educational attainment is progressing well and efficiently. In this study, we aim to compare the effectiveness of education in the BRICS countries - Brazil, India, Russia, China, South Africa - and Turkey. We use the Stochastic Frontier Analysis method to measure the technical efficiency of education. The study utilizes 2017 and 2018 data, and linear functions to examine technical efficiency. The dataset comprises cross-sectional data. As a result, South Africa and India show the lowest technical efficiency scores, followed by China. Russia, Brazil, and Turkey scored high on technical efficiency for 2017 and 2018. This means that education levels in South Africa and India are unequal and shared among all residents. The 2017 and 2018 productivity scores are the same at 0.99% in Turkey, Russia, and Brazil. India's productivity score increased by 0.10% to 0.55% in 2018. Likewise, the productivity score calculated for China decreased by an average of 0.07 percent to 0.70 percent. However, South Africa's productivity score fell by 0.08 percent to 0.01 percent in 2018.
Carbon emission in MINT economies: The role of poverty, population, energy use and economic factors
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ, 2024) Bekun, Festus Victor; Uzuner, Gizem; Onifade, Stephen Taiwo; Alola, Andrew Adewale
Poor environmental quality is usually observed in developing blocs. Some plausible explanations are due to the high poverty level and their economic characterisation. The present study focuses on exploring the effect of poverty on environmental degradation over annual data from 1990 to 2018 for MINT economies (Mexico, Indonesia, Nigeria, Turkiye). By leveraging panel econometrics procedures that are robust to cross-sectional and slope homogeneity issues, the results show evidence of an equilibrium relationship among the examined variables namely households final consumption expenditure, CO2 emissions, GDP, electricity consumption and population over the sampled period. Findings from this study establish that poverty is a core to environmental degradation in Türkiye and the plausible explanation is due to the country's demography while on the contrary, Nigeria, Indonesia and Mexico show that poverty is not a core contributor to environmental degradation. Thus, from a policy lens, there is need for concerted efforts by government officials and all stakeholders in the examined countries to reduce environmental degradation by improving per capita income (SDG-8) in the region productive economic activities to raise income level in the bloc. Additionally, there is a need for energy transition from fossil fuel-based energy to cleaner energy alternative options. More policy caveats are elucidated in the concluding section.
Some Algebraic Classification of Semiregular Hypermodules in Connection to the Radical
(HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2024) Aydın, Yıldız; Nişancı Türkmen, Burcu
We call a Krasner right S-hypermodule A regular if each cyclic subhypermodule of A is a direct summand of A, and we also call A semiregular if every finitely generated subhypermodule of A lies above a direct summand of A. In this study, some properties of such hypermodules are achieved. This paper consists of concentrating over the radical, as well as their connections with (semi)regularity of hypermodules. Finally, the relationship between f-supplement submodule and semiregularity is given.
Dynamic correlation among renewable energy, technology, and carbon markets: Evidence from a novel nonparametric time-frequency approach
(PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2024) Özkan, Oktay; Olanipekun, Ifedolapo Olabisi; Olasehinde-Williams, Godwin
In addressing the challenges of energy security and climate change, ongoing efforts involve the development of innovative technologies to support the shift from conventional to clean energy sources. Concurrently, the establishment of carbon markets aims to facilitate a decrease in carbon emissions by enabling the trade of carbon credits. This study adds to the energy-climate discussion by examining the evolving dynamics of returns on investments in renewable energy, technology, and carbon markets. Specifically, the time-varying correlation among renewable energy, technology, and carbon markets in the European Union is examined from September 18, 2017 to December 14, 2022. The techniques employed for empirical analyses are the nonparametric timefrequency, Benjamini-Hochberg, and Benjamini-Yekutieli correlation techniques, as well as the time-varying Granger causality. Highlights from the results are as follows. Renewable energy, technology, and carbon markets exhibit time and frequency variations in their relationships, with significant correlations notably present during periods marked by major shifts in energy policy. Secondly, renewable energy and carbon markets exhibit very weak or even absent correlation, indicating their suitability for portfolio diversification. Furthermore, investors could benefit significantly by including both technology and carbon markets in their portfolios to reduce overall risk. Several additional recommendations are also provided in this study.
A Comprehensive Evaluation Model for Sustainable Supply Chain Capabilities in the Energy Sector
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2024) Safaei, Mehdi; Yahya, Khalid; Al Dawsari, Saleh
This study introduces a comprehensive model to evaluate multiple capabilities within the sustainable supply chain evaluation framework. The primary aim is to determine the significance of various capabilities in the context of sustainable supply chains. The research involved a sample of sixteen companies operating in Iran’s energy sector. The findings indicate that the majority of these companies are at level two in terms of capability. Therefore, it is recommended that these companies employ this model to assess their capability levels and identify any existing gaps. Methodologically, a checklist tool was used to refine the criteria using the fuzzy Delphi method. Subsequently, an appropriate model was chosen and developed by reviewing existing evaluation models. The criteria were compared and finalized using the Analytic Hierarchy Process. Finally, the criteria were further refined and validated through a fuzzy expert system, incorporating Adaptive Neuro-Fuzzy Inference System and Fuzzy Inference System. The developed model was then simulated and validated using MATLAB Simulink software (R2017b).
Optimizing Multi-Channel Green Supply Chain Dynamics with Renewable Energy Integration and Emissions Reduction
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2024) Safaei, Mehdi; Al Dawsari, Saleh; Yahya, Khalid
In response to the global imperative of mitigating greenhouse gas emissions (GHGs) and the shifting landscape of business models toward multi-channel structures, this study delves into the intricacies of a green supply chain. Operating through both online and traditional channels with uncertain demands, the producer’s distribution strategy prompts an exploration of supply chain dynamics. Utilizing an integer programming model, this study calculates optimal prices, optimizes total profit, and minimizes transportation costs to curtail carbon dioxide emissions, depending on the transportation mode. Additionally, this study incorporates renewable energy sources into the production and transportation processes to further minimize carbon dioxide emissions. The integration of renewable energy not only supports environmental goals, but also contributes to the overall profitability of the supply chain by reducing energy costs. Employing a theoretical technique for linearization, the model, resolved through the Jimenez and TH methods, demonstrates efficacy in reconciling economic and environmental goals. The Jimenez method enables the transformation of fuzzy parameters into deterministic equivalents, allowing for a more reliable optimization during uncertainty, while the TH method provides an interactive fuzzy multi-objective approach, aligning the model’s dual objectives for both economic and environmental goals. Notably, when transportation costs to both markets are equal, the model prioritizes devices with a lower environmental impact, showcasing adaptability. Furthermore, the proposed solution empowers decision makers to influence pricing and enhance the entire supply chain’s profitability. In conclusion, this research offers nuanced insights, strategically aligning economic viability with environmental sustainability in the discourse on green supply chains.

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