DSpace Arşivi :: Ana Sayfa

İstanbul Gelişim Üniversitesi Kurumsal Açık Erişim Arşivi

DSpace@Gelişim, İstanbul Gelişim Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

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Travelling with digital guides: artificial intelligence usage tendencies of tourists
(Taylor and Francis Ltd., 2025) Çıkı, Kartal Doğukan; Öğretmenoğlu, Mert; Ramkissoon, Haywantee; Yüksel, Tayfun Görkem
The aim of this study is to reveal the relationships between the attitudes of tourists who use artificial intelligence (AI) tools for travel planning, their satisfaction with these tools, their perceptions of the ease of use, and their intentions to re-use these tools in the future. An online questionnaire was administered to Turkish tourists who use AI tools for travel planning in accordance with the aim of the study. The survey was conducted over a two-month period (July and August) in 2024, using a convenience sampling method. After obtaining 393 usable responses, the data were analyzed using Structural Equation Modelling. According to the results, it was revealed that AI assistant use significantly influences tourists’ attitudes, their perceived ease of use, and satisfaction toward AI tools, and these three variables positively influence the intention to reuse AI tools. Results also indicate that attitudes have a relatively weaker impact on the using AI tools recommendations in travel planning, compared to satisfaction and perceived ease of use. The research results emphasise the necessity of AI tools specific to the tourism sector and highlight the importance of keeping pace with developments in a world where technology is constantly evolving for the tourism sector.
Fossil fuel efciency as a pathway to decarbonisation and the role of international trade: A perspective of the LCC hypothesis
(Springer Science and Business Media B.V., 2025) Özkan, Oktay; Iormom, Bruce Iortile; Usman, Ojonugwa; Uzuner, Gizem
The continued global dependency on fossil fuel sources in the face of increasing international trade may hamper the goal of decarbonisation. To condense climate risk and attain net zero, efciency measures are proposed. This study unambiguously investigates the environmental quality implications of fossil fuel efciency in the face of the international trade based on the Load Capacity Curve (LCC) hypothesis for Canada from 1965 to 2022. The application of a dynamic ARDL simulations method uncovers the following fndings: (i) fossil fuel efciency engenders load capacity factor (lnLCF) in the short run (SR) and long run (LR). This suggests a dampening trend of environmental externalities as fossil fuel efciency increases. (ii) the connection between income expansion and lnLCF follows an inverted U-type pattern, thus invalidating the LCC hypothesis in Canada. (iii) the efect of international trade is positive but only signifcant in the SR. (iv) urban development is positively linked to lnLCF but its efect is perhaps signifcant only in the LR. These fndings corroborate the responses of the lnLCF to a 1% positive and negative counterfactual shocks in fossil fuel efciency, income expansion, international trade, and urban development. Moreover, the fndings are robust to the results of the nonparametric multivariate quantile-on-quantile regression model. Therefore, the policy take of these results is that to achieve net-zero emissions targets by 2050, environmental policies ought to promote not only fossil fuel efciency but also the growth of income expansion, trade, and urbanization.
A Stable Wavelet Computational Method for the Study of Generalized Burger–Fisher and Burgers–Huxley Models
(Taylor and Francis Ltd., 2025) Khan, Aslam; Ghafoor, Abdul; Shah, Kamal; Abdeljawad, Thabet; Alqudah, Manar A.
This work proposes, a hybrid numerical scheme to study the generalized Burger–Fisher equation (gBFE) and generalized Burgers-Huxley equation (gBHE). This strategy comprises Haar wavelet and Runge-Kutta (RK-4) routine solver. We use the collocation approach to approximate the unknown solution and derivatives at discrete points, reducing the given problem to its corresponding nonlinear initial value problem. Then, an efficient time integration scheme is used to solve the consequent system. The proposed technique is implemented for the numerical simulations of various problems that includes gBFE and gBHE. To further elaborate the efficiency of the scheme, L2; L1 and Lrms error measures are computed. The computed results are also compared with some existing results in literature. It is observed that the proposed scheme is quite good for the numerical solutions of the gbFE and gBHE model equations. Besides this, the computational stability of the proposed method is examined via the eigenvalues procedure.
A Novel Hybrid Approach for Obtaining Approximate Series and Exact Solutions to the Caputo Fractional Black-Scholes Equations
(Universal Wiser Publisher, 2025) Liaqat, Muhammad Imran; Baleanu, Dumitru; Yousif, Majeed Ahmad; Abdeljawad, Thabet; Mohammed, Pshtiwan Othman
This study employs a novel approach to derive both approximate series and exact solutions to the fractional Black-Scholes model, utilizing the Elzaki transform and residual functions. This method is called the Elzaki Residual Method (ERM). By applying the basic limit principle at zero, the ERM demonstrates a superior ability to determine the coefficients of terms in the fractional power series, whereas other well-known methods such as the Adomian decomposition method, the variational iteration method, and the Homotopy perturbation method require integration, and the residual power series method relies on differentiation, both of which are challenging in fractional contexts. Moreover, the ERM outperforms series solution techniques that rely on Adomian and He’s polynomials for solving nonlinear problems, as it eliminates the need for such polynomials. To verify the reliability of our approach, we perform recurrence and absolute error analyses. Additionally, comparative assessments with the projected method, the Adomian method, and the Aboodh decomposition method demonstrate strong agreement. Finally, graphical illustrations further confirm the accuracy of our solutions. Therefore, the ERM can serve as a valuable alternative for solving both linear and nonlinear fractional systems. Maple software is used to calculate the numerical and symbolic quantities in the paper.
Climate Change and Environment Kuznets Curve in Developing Economies (D-8 Nations)
(International Journal of Environmental Science and Development, 2025) Arif, Asma; Arif, Umaima; Shaheen, Sania; Habib, Muhammad Danish; Bekun, Festus Victor; Haseki, Murat Ismet
The main goal of the current study is to determine the relationships between CO2 emissions and the inflow of foreign investment for developing economies (D-8 countries) to determine whether or not the environmental Kuznets curve hypothesis is validated or otherwise for the study areas. The dependent variable in the current study is carbon dioxide emissions. The population was used as the control variable in this study, while the independent variables were population growth, per capita Gross Domestic Product (GDP), inflow of foreign investment, inflation, and open trade for D-8 countries from 1999 to 2023. The Fixed Effect (FE) and Random Effect (RE) model techniques were used for empirical analysis, and the Hausman test was used to choose the best-fitting model for this study. Empirical findings validate the existence of the Environmental Kuznets curve (EKC) hypothesis in D-8 countries over the study period. Additionally, there is a strong positive correlation between the inflow of foreign investment and carbon emissions, supporting the pollution heaven hypothesis, which holds that developed countries transfer their obsolete technology to developing nations. This paper explains how Foreign Direct Investment (FDI) and GDP per capita impact carbon dioxide emissions in developing countries and assists policymakers in proposing policies to draw in higherquality FDI. Developing countries need to take a comprehensive and varied approach to achieve green economic growth. By utilizing renewable energy and promoting environmentally friendly transportation it is currently crucial to turn the transportation sector green and promote environmentally friendly transportation to lessen environmental effects and make the environment more environmentally friendly. This may be done by using renewable energy and encouraging environmentally friendly transportation. The need to coordinate global policies with the Sustainable Development Goals (SDG) is the main subject of this study, especially when it comes to achieving sustainable economic growth with the fewest possible environmental risks. Government and policymakers may achieve a sustainable future for developing nations by balancing economic development and environmental sustainability by focusing on green economic growth.