Yönetim Bilimleri Fakültesi

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Citation - WoS: 48
Citation - Scopus: 59
Are Clean Energy and Carbon Emission Allowances Caused by Bitcoin? A Novel Time-Varying Method
(Elsevier Sci Ltd, 2022) Dogan, Eyup; Majeed, Muhammad Tariq; Luni, Tania; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
The bitcoin market has substantially grown in recent years. The researchers are exploring its various repercussions for socioeconomic and political matters; however, the literature still lacks clear evidence on how bitcoin interacts with energy and the environment. This study aims to explore the causal relationship between bitcoin, clean energy, and carbon emissions allowances by applying the novel time-varying Granger causality test on the daily data spanning from Sept 17, 2014, to October 12, 2021. The empirical findings confirm that both clean energy and emission allowances are causally associated with bitcoin. However, this causal relationship varies over time and the duration of causality is longer as suggested by the recursive evolving procedure. The outcome is robust when bitcoin is measured by the volume and the price. Furthermore, the results obtained from robustness analysis conducted through heteroskedastic consistent test also validate the findings that bitcoin causes clean energy and carbon allowance. The findings offer a platform for government officials and policy managers to improve clean energy and carbon allowance markets for sustainable development by managing and using the tools to control and regulate cryptocurrency markets.
Citation - WoS: 16
Citation - Scopus: 18
Assessing the Impact of COVID-19 Pandemic in Turkey With a Novel Economic Uncertainty Index
(Emerald Group Publishing Ltd, 2021) Mugaloglu, Erhan; Polat, Ali Yavuz; Tekin, Hasan; Kilic, Edanur; 0000-0001-5362-6259; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Mugaloglu, Erhan; 01. Abdullah Gül University
Purpose This study aims to measure economic uncertainty in Turkey by a novel economic uncertainty index (EUI) employing principal component analysis (PCA). We assess the impact of Covid-19 pandemic in Turkey with our constructed uncertainty index. Design/methodology/approach In order to obtain the EUI, this study employs a dimension reduction method of PCA using 14 macroeconomic indicators that spans from January 2011 to July 2020. The first principal component is picked as a proxy for the economic uncertainty in Turkey which explains 52% of total variation in entire sample. In the second part of our analysis, with our constructed EUI we conduct a structural vector autoregressions (SVAR) analysis simulating the Covid-19-induced uncertainty shock to the real economy. Findings Our EUI sensitively detects important economic/political events in Turkey as well as Covid-19-induced uncertainty rising to extremely high levels during the outbreak. Our SVAR results imply a significant decline in economic activity and in the sub-indices as well. Namely, industrial production drops immediately by 8.2% and cumulative loss over 8 months will be 15% on average. The losses in the capital and intermediate goods are estimated to be 18 and 25% respectively. Forecast error variance decomposition results imply that uncertainty shocks preserve its explanatory power in the long run, and intermediate goods production is more vulnerable to uncertainty shocks than overall industrial production and capital goods production. Practical implications The results indicate that monetary and fiscal policy should aim to decrease uncertainty during Covid-19. Moreover, since investment expenditures are affected severely during the outbreak, policymakers should impose investment subsidies. Originality/value This is the first study constructing a novel EUI which sensitively captures the critical economic/political events in Turkey. Moreover, we assess the impact of Covid-19-driven uncertainty on Turkish Economy with a SVAR model.
Citation - Scopus: 2
A Comparative Analysis of International and Domestic Acquisitions: What Drives Acquirer Competitiveness
(Inderscience Publishers, 2018) Genç, Omer Faruk; Zakaria, Rimi; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Genc, Omer Faruk; 01. Abdullah Gül University
Despite several decades of research in the context of mergers and acquisitions (M&As), an understanding of acquirer competitiveness in international vis-à-vis domestic acquisitions remains inconclusive. This empirical study presents a comparative framework to identify a set of intangible factors that differentiate the long-term competitiveness of acquirers engaging in both of these types of acquisitions. Building on the information asymmetry logic, we find that access to accurate information, acquirers’ research and development (R&D) intensity, and similarity between the acquirer and the target play a vital role in determining the overall competitiveness of acquirers. Using a sample of all the M&As that occurred between 1985 and 2007 and applying a matching control methodology, sound comparisons are made to draw conclusions. From a theoretical standpoint, the findings help generalise the importance of intangible factors from the contextual, acquirer-centric, and dyadic angles. From a practical viewpoint, the conclusions enable managers to evaluate their firms’ preparedness for international vis-à-vis domestic acquisitions. © 2021 Elsevier B.V., All rights reserved.
Citation - WoS: 26
Citation - Scopus: 30
Full-Length Effects of the Circular Economy, Environmental Policy, Energy Transition, and Geopolitical Risk on Sustainable Electricity Generation
(Elsevier Sci Ltd, 2023) Chishti, Muhammad Zubair; Dogan, Eyup; Zaman, Umer; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
The recent global paradigm shift toward sustainable green development necessitates revealing the likely green determinants of sustainable electricity generation in order to derive key policy recommendations for dealing with the global energy crisis. As a result, the current study focuses on the drivers of global electricity generation (EG) and identifies environmental policy (EP), energy transition (ET), geopolitical risk (GPR), and circular economy (CE) as novel determinants. The study employs a battery of advanced econometric techniques, including quantile VAR, quantile slope estimate, and wavelet-based correlation methods, for empirical analysis. The quantile VAR -based connectedness confirms the modeled series' significant interconnectedness. Furthermore, the findings suggest that CE plays an important role in promoting the global EG process, as evidenced by positive effects across quantiles. When the effects of ET and EP are considered, a positive relationship between ET, EP, and EG is discovered, implying that ET and EP are important drivers of electricity generation. Furthermore, GPR has significant and negative effects on EG across most quantiles, indicating that the EG process suffers a significant loss as a result of GPR. Furthermore, the wavelet-based correlation method confirms the significant association between selected series, supporting the preceding findings. In order to achieve sustainable electricity generation, several results-based policies are proposed for local and global authorities.
Citation - WoS: 25
Citation - Scopus: 30
Gigification, Job Engagement and Satisfaction: The Moderating Role of AI Enabled System Automation in Operations Management
(Taylor & Francis Ltd, 2021) Braganza, Ashley; Chen, Weifeng; Canhoto, Ana; Sap, Serap; 0000-0002-2560-4105; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Sap, Serap; 01. Abdullah Gül University; 03.01. İşletme; 03. Yönetim Bilimleri Fakültesi
Innovative and highly efficient Artificial Intelligence System Automation (AI-SA) is reshaping jobs and the nature of work throughout supply chain and operations management. It can have one of three effects on existing jobs: no effect, eliminate whole jobs, or eliminate those parts of a job that are automated. This paper focuses on the jobs that remain after the effects of AI-SA, albeit with alterations. We use the term Gigification to describe these jobs, as we posit that the jobs that remain share characteristics of gig work. Our study examines the relationship between Gigification, job engagement and job satisfaction. We develop a theoretical framework to examine the impact of system automation on job satisfaction and job engagement, which we test via 232 survey responses. Our findings show that, while Gigification increases job satisfaction and engagement, AI-SA weakens the positive impact of Gigification on these important worker outcomes. We posit that, over time, the effects of AI-SA on workers is that full-time, permanent jobs will give way to gigified jobs. For future research, we suggest further theory development and testing of the Gigification of operations and supply chain work.
Citation - WoS: 12
Citation - Scopus: 12
Glass Ceiling in Academia Revisited: Evidence From the Higher Education System of Turkey
(Routledge Journals, Taylor & Francis Ltd, 2021) Bulbul, Serap; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Bulbul, Serap; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
Current study investigates the gender gap in academic promotions in Turkey taking a new perspective on the widely established existence of gender inequality in academia. The dataset includes the eight most-prominent research universities in Turkey and the nature of the 'glass ceiling' is explored by looking at the gendered distributions of: (1) academic seats -indicating academic performances, and (2) coauthorship patterns concerning genders. Findings suggest that there is gender disparity in academic performances as well as in academic promotions. In addition, gender is found to be a significant factor in explaining the current situation in academic ranks and subtle discrimination practices may exist instead of overt discrimination practices as it is also suggested in previous studies. In sum, results show two main points: (1) There is evidence of gender gap in academic promotions in Turkey, (2) A new variable -cross gender coauthorship- for glass ceiling research may provide further insight about the issue.
Citation - WoS: 6
Citation - Scopus: 17
Is Leverage a Substitute or Outcome for Governance? Evidence From Financial Crises
(Emerald Group Publishing Ltd, 2021) Tekin, Hasan; Polat, Ali Yavuz; 0000-0001-5647-5310; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Polat, Ali Yavuz; 01. Abdullah Gül University
Purpose The authors investigate the impact of governance on the leverage of East Asian firms in the financial crisis context, in order to understand the puzzle whether debt acts as a substitute for governance or an outcome of the governance mechanism. Design/methodology/approach The authors use 86,030 firm-years and the country-level governance data from eight East Asian countries over the period 1996-2017. The authors employ the fixed effects (FE) model, in the main analysis and the weighted least squares model, as a robustness check in order to compare the two competing hypotheses of agency theory, substitute and outcome models. Findings The authors' results show that debt acts as a substitute for governance before the GFC, but during and after the GFC the picture changes. Namely, debt acts as an outcome of the governance mechanism during the GFC and its aftermath. Since during financial downturns both agency costs increase, and information asymmetry widens, firms in poor-governed countries may be reluctant to increase their leverage in order not to face financial distress and additional restrictions. Thus, the results imply that the use of debt as a tool to mitigate agency conflicts and a substitute for governance strongly depends on the environment that the firms operate and the general macroeconomic conditions, such as facing a financial crisis or not. Research limitations/implications This study provides an interesting case of the firms' capacity to raise money during a crisis and that governance plays an important role in borrowing activities of firms. This will undoubtedly help motivating owners and policymakers for improving governance. The authors' findings may be useful for policymakers to develop policies considering the adverse effects caused by exogenous shocks. This is crucial because the severity of GFC as a shock seems to change the macro and institutional environment that firms operate. While the authors properly address the research hypotheses using country governance data, future research may employ corporate governance data to attain firm-level results by testing two competing hypotheses. Originality/value There are several important areas where this study makes original contributions. First, while Tsoy and Heshmati (2019) focus on the dynamics of capital structure for only Korean firms, the authors extend the sample including eight East Asian countries considering the impact of country governance on capital structure policy. Specifically, this study is the first in using the robust country governance data, which differs by country and year, in the crisis context. Next, the authors investigate both the AFC and GFC to compare whether these two crises have different effects on capital structure policy of East Asian firms. Finally, the authors aim to understand whether leverage is used as a substitute for governance or an outcome of governance mechanism considering recessions.
Citation - WoS: 3
Citation - Scopus: 4
Personalization in Marketing: How Do People Perceive Personalization Practices in the Business World
(California State Univ, 2023) Aksoy, Nilsah Cavdar; Kabadayi, Ebru Tumer; Yilmaz, Cengiz; Alan, Alev Kocak; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yilmaz, Cengiz; 01. Abdullah Gül University; 10. Rektörlük
With emerging digital technologies, personalization has become a key activity for marketing strategy to gain competitive success in customer relationships. The aim of this study is to develop and empirically assess a general measurement model of perceived personalization. Multiple data gathering processes and rigorous empirical testing procedures are employed to assess and validate the proposed measurement model. The perceived personalization scale developed in the study rests on the focus of what is personalized and includes three main categories: (1) individuallevel, (2) social-level, and (3) situation-based personalization. A multidimensional measure of personalization is developed based on these categories and is validated via several tests, including a test of nomological validity exploring the effects of perceived personalization on critical customer responses such as positive emotions, negative emotions, perceived sincerity, satisfaction, and behavioral intentions. These findings shed light on and open new avenues of development for this growing practice for both researchers and practitioners in marketing.
Citation - Scopus: 3
Subprime Mortgages and Lending Bubbles
(Bank Indonesia Institute, 2018) Polat, Ali Yavuz; 0000-0001-5647-5310; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Polat, Ali Yavuz; 01. Abdullah Gül University
We consider a model with two types of households: the poor with no initial endowment and the rich with positive endowment, and two types of assets: properties in a poor area and properties in a rich area. In the model, poor agents need credit to buy an asset, whereas the rich can draw from their endowment. We show that credit-fueled housing bubbles sometimes may improve welfare, making the poorer individuals better off. More precisely, there exist two types of equilibria in both property markets: one is a bubble equilibrium, and the other is an equilibrium where asset prices are stable over time. While the poor always obtain a positive surplus in the bubble equilibrium, this is not necessarily true for the rich. Our results suggest that there may be scope for market interventions aimed at sustaining the value of assets held by credit-constrained agents after the burst of a credit bubble. © 2025 Elsevier B.V., All rights reserved.
Citation - WoS: 52
Citation - Scopus: 56
Understanding the Effects of Artificial Intelligence on Energy Transition: The Moderating Role of Paris Agreement
(Elsevier, 2024) Chishti, Muhammad Zubair; Xia, Xiqiang; Dogan, Eyup; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
This study contributes to the existing literature by investigating and confirming a range of diverse outcomes related to the interplay of factors shaping the global energy transition (ET). Employing advanced methodologies, including the extension of the QVAR technique to short-term (SR), medium-term (MR), and long-term (LR) connectedness analysis, as well as the application of the CQ method to explore relationships within varying market conditions and timeframes, the study examines the interconnectedness of critical variables: artificial intelligence (AI), the Belt and Road Initiative (BRI), the Paris Agreement (PA), green technologies (GT), geopolitical risk (GPR), and ET. The findings highlight several crucial insights. Firstly, all selected variables demonstrate substantial interconnectedness across different time horizons, except for MR, which exhibits comparatively weaker connectedness than SR and LR. Secondly, independent series reveal diverse impacts on ET across various market conditions and periods. For example, in SR, most series produce mixed effects on ET, with BRI having primarily adverse consequences and GPR predominantly yielding positive impacts. In MR, the influence of AI, PA, and GT on ET varies, while BRI enhances ET, and GPR essentially hampers it. Notably, in LR, AI, BRI, PA, and GT significantly promote ET, while GPR disrupts its progress. Additionally, the study underscores the dynamic and time-varying nature of the relationships between AI, BRI, PA, GT, GPR, and ET across different market conditions, thus holding essential implications for shaping global policies to foster sustainable energy transitions.
Citation - WoS: 173
Citation - Scopus: 188
Which Households Are More Energy Vulnerable? Energy Poverty and Financial Inclusion in Turkey
(Elsevier, 2021) Dogan, Eyup; Madaleno, Mara; Taskin, Dilvin; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
This study examines the effects of financial inclusion on energy poverty using the 2018 Turkish Household Budget and Consumption Expenditure Surveys. The study adopts three different measures of energy poverty and then analyzes the impact of financial inclusion proxied by a multidimensional index on energy poverty using different estimation strategies. After addressing the endogeneity of financial inclusion by instrumenting financial inclusion with access to the nearest bank in a two-stage least squares framework, the empirical results show that financial inclusion significantly alleviates energy poverty while its impact is higher for female-headed households. These findings are robust to Oster's (2019) bounds estimates that deal with omitted variable bias. The results also suggest that health and income are significant through which financial inclusion influences energy poverty. The findings thus point to the need for policies that promote financial inclusion as a way of alleviating energy poverty. (C) 2021 Elsevier B.V. All rights reserved.

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