Akademik Çıktılar

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Citation - Scopus: 1
A Content Analysis of Sustainable Development in the Tourism Literature
(Taylor and Francis, 2019) Arzu Kalemci, R.; 42537
This study examines what fundamental issues are addressed in the tourism literature for defining sustainable development. By adopting a descriptive approach with a content analysis, 221 articles with the keywords “sustainable development” in their titles are analyzed in the current study. This study argues that although developmental and environmental dynamics is crucial, however, organizational dynamics of sustainable development should also be emphasized in the tourism literature. This study also shows that sustainability for companies operating in the tourism sector has a legitimating effect both at the organizational level and within the organization. © 2020 selection and editorial matter, Ipek Kalemci Tüzün, Mehmet Ergül and Colin Johnson; individual chapters, the contributors.
Citation - Scopus: 0
A Model to Assist the Maintenance vs. Replacement Decision in Information Systems
(IGI Global, 2013) Pusatli, O.T.; Regan, B.; 51704; Yönetim Bilişim Sistemleri
An extensive literature review shows that Information Systems (IS) are changed and eventually replaced by substitutes under the influence of productivity, popularity, and specialisation of IS along with associated available support facilities, maintenance activities, failures, and user feedback. This chapter compiles those factors emerged from software engineering, IS, software quality assurance measurements, and computer science literature. A final product is a proposed model bringing those factors together as they are suspected to raise a need for taking the decision of evaluating change requests that may lead to a further maintenance or replace the IS. While keeping in mind that limitations on advanced testing exist, an expected service of such a model may help decision makers to explain maintenance/replacement decision of IS/component in a more itemized manner, hence diminish overburden pressure of experience responsibility on them. © 2014, IGI Global.
Citation - Scopus: 2
A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory
(Springer Science and Business Media Deutschland GmbH, 2022) Karasakal, E.; Karasakal, O.; Şentürk, H.; 216553; Endüstri Mühendisliği
In this study, Prospect Theory is integrated into a well-known multiple criteria ranking method, PROMETHEE. PROMETHEE considers the outranking relations among alternatives based on the preference functions. Prospect Theory evaluates the alternatives with a difference function based on gains and losses. The preference functions of PROMETHEE are modified to capture the choice behavior of the decision maker. The proposed method is a generalization of PROMETHEE that can handle the higher loss impact case as well as the usual equal loss and gain impact. The proposed method is compared with PROMETHEE, PT-PROMETHEE that is an extension of PROMETHEE with reference alternative, and the weighted sum method using an exemplary data set and Times Higher Education (THE) World University Ranking 2019 and 2020 data. The results show that rankings of alternatives change significantly when the impact of losses is larger than gains. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 1
A New Framework for a Resilience-Based Disaster Risk Management
(Springer International Publishing, 2021) Galderisi, A.; Altay-Kaya, D.; 54723
This chapter aims at providing hints to improve existing frameworks for disaster risk management based on a review of the main documents framing disaster management within the last two and a half decades and with reference to the potential contribution of resilience thinking. The evolution path of disaster risk management shows that, although some progresses have been made, there are still numerous gaps to be filled. On the opposite, focusing on the increasing convergence of resilience and disaster studies, it emerges that a resilience-based approach could still provide significant theoretical and operational inputs towards an improved disaster risk management. In particular, this chapter emphasizes the potential contribution of resilience thinking in developing a new framework for guiding disaster risk management capable of (1) taking into consideration the rapidly changing risk landscapes due to the interplay between climate change and the consequent increase of hazardous events, urbanization patterns and the complex interrelationships among them; (2) shifting from sectoral approaches to disaster risk reduction (DRR) towards integrated approaches and cross-sectoral strategies and tools; (3) embracing transformational perspectives to significantly reduce disaster losses and achieve sustainability goals; (4) improving learning capacity through the setting up of continual learning processes; (5) emphasizing the role of spatial and land use planning for DRR; and (6) developing more innovative governance models based on collaboration, shared responsibility and active engagement of the stakeholders. © Springer Nature Switzerland AG 2021.
Citation - WoS: 0
Citation - Scopus: 1
A New Route for Regional Planning in Turkey: Recent Developments
(Springer international Publishing Ag, 2019) Ozdemir, Suna S.; 25219
Since the 1930s, regional plans have been drawn up for various regions in Turkey. However, the institutional practice of regional development policy as well as regional planning began with the establishment of the State Planning Organisation in 1960. After the 1960s, through Five-Year National Development Plans, a regional development policy was defined, and regional development plans were formulated for some specific regions. In practice, there were some challenges and problems during that period in regional planning. The shift in the regional development policy and regional planning began in 1999 with Turkey's accession period to the European Union. For adaptation to the EU's regional policy, some newpolicies, legislation, and institutional set-ups were defined. This chapter mainly focuses on these new policies and instruments, namely the new route taken by regional planning in Turkey.
Citation - Scopus: 3
A Relationship Marketing Strategy in Brand Communication: Influencer Marketing Strategy
(IGI Global, 2019) Ôzsaçmaci, B.; Dursun, T.; 19729; Uluslararası Ticaret ve Finansman
Influencer marketing increases brand awareness by generating appropriate content to attract the attention of consumers in a virtual environment in accordance with the brand texture. This chapter explores research to determine importance of influencer marketing in the brand communication area, which is based on relationship marketing. Authors mainly focus on influencer marketing and its connection with relationship marketing. They describe the constituent parts of the topics and illustrate them with the case studies and statistical facts. The authors strongly claim influencer marketing shares similar variables with relationship marketing and their basic keywords are related. © 2020 by IGI Global.
Citation - Scopus: 0
A review of research on telecollaboration in english as a foreign and second language learning contexts
(IGI Global, 2023) Toscu, S.; 19287
This review intends to classify features, research purposes, methodologies, impacts, and limitations concerning telecollaboration in English as a foreign and second language education. The preferred reporting items for systematic reviews and meta-analysis (PRISMA) method was utilized for the review. The main conclusions drawn from the analysis of the results showed that telecollaboration projects primarily involved bicultural groups of participants, the majority of the studies were conducted with the participation of language users at the tertiary level, the scope of research in most of the studies was based on the investigation of cultural awareness and the development of intercultural communicative competence, the methodology sections of the studies mostly involved qualitative research methods, the communication mode between/among the participants was asynchronous in most of the research, and telecollaboration projects present various benefits in EFL and ESL settings. © 2023, IGI Global. All rights reserved.
Citation - Scopus: 0
A Stability Criterion for Delay Differential Equations With Impulse Effects
(World Scientific Publishing Co., 2007) Alzabut, J.O.; Matematik
In this paper, we prove that if a delay differential equation with impulse effects of the form x’(t) = A(t)x(t) + B(t)x(t - τ), t ≠ θi, Δx(θi) = Cix(θi) + Dix(θi-j); i ∈ 2 N; verfies a Perron condition then its trivial solution is uniformly asymptotically stable. © 2007 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.
Citation - Scopus: 6
A Survey on Interpolative and Hybrid Contractions
(Springer, 2021) Karapınar, E.; 19184; Matematik
In this chapter, we consider the distinct hybrid type contractions in various abstract spaces. In this work, hybrid contraction refers to combination of not only linear and nonlinear contractions, but also interpolative contractions. The main goal of the chapter is to clarify the metric fixed point theory literature by using the hybrid type contractions that unify several well-known results. © 2021, Springer Nature Switzerland AG.
Citation - Scopus: 8
Advanced Analysis of Local Fractional Calculus Applied to the Rice Theory in Fractal Fracture Mechanics
(Springer Science and Business Media Deutschland GmbH, 2022) Yang, X.-J.; Baleanu, D.; Srivastava, H.M.; 56389; Matematik
In this chapter, the recent results for the analysis of local fractional calculus are considered for the first time. The local fractional derivative (LFD) and the local fractional integral (LFI) in the fractional (real and complex) sets, the series and transforms involving the Mittag-Leffler function defined on Cantor sets are introduced and reviewed. The uniqueness of the solutions of the local fractional differential and integral equations and the local fractional inequalities are considered in detail. The local fractional vector calculus is applied to describe the Rice theory in fractal fracture mechanics. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 5
Advanced Topics in Fractional Differential Equations A Fixed Point Approach
(Springer Nature, 2023) Benchohra, M.; Karapınar, E.; Lazreg, J.E.; Salim, A.; 19184; Matematik
Citation - Scopus: 0
Analog and digital filter design
(Springer Science and Business Media B.V., 2018) Gazi, O.; Elektronik ve Haberleşme Mühendisliği
In this chapter, we will study analog and digital filter design techniques. A filter is nothing but a linear time invariant (LTI) system. Any LTI system can be described using its impulse response. If the impulse response of a LTI system is known, then for any arbitrary input the system output can be calculated by taking the convolution of the impulse response and arbitrary input. This also means that filtering operation is nothing but a convolution operation. And filter design is nothing but finding the impulse response of a linear time invariant system. For this purpose, we can work either in time domain or frequency domain. © Springer Nature Singapore Pte Ltd. 2018.
Citation - Scopus: 0
Andropov, Yuri Vladimirovich (1914-1984)
(Bloomsbury Publishing Plc., 2014) Karadelli, S.C.
Citation - Scopus: 0
Application of Various Modelling Techniques Into Consumer Confidence Index
(CRC Press, 2025) Kalayci, B.; Purutçuoğlu, V.; Weber, G.W.; Uğur, Ö.; Defterli, Ö.
The principles of sentiment are presented by economic conditions such that most of the variance in consumer sentiment is caused by economic situations, either directly or indirectly. There are political and economic repercussions to investors’ economic optimism or pessimism. Customer expenditures and hence, the direction of the economy’s future are predicted by the degree of consumer confidence. Investors, who are in a similar way, are positioned economically, but, have different biased thoughts bringing forward quite different sentiments about the future of economics. © 2025 CRC Press.
Citation - Scopus: 6
Artificial neural network modeling of systems biology datasets fit based on Mittag-Leffler functions with heavy-tailed distributions for diagnostic and predictive precision medicine
(Elsevier, 2022) Karaca, Y.; Baleanu, D.; 56389; Matematik
Being the most complex physical system in the universe, life, at all scales requires the understanding of the massive complexity including its origin, structure, dynamic, adaptation and organization. Both the number of substructures and interacting pathways of each substructure along with other ones and neurons determine the degree of complexity. Neural networks, as descriptive models, in systems biology setting, provide the means to gather, store and use experiential knowledge; and are designed in a way to emulate different operations of the human brain. One of the major ongoing challenges of integrating fractional calculus in cases of complexity requires an effective use of empirical, numerical, experimental and analytical methods to tackle complexity. In that regard, Artificial Neural Networks (ANNs), including a family of nonlinear computational methods, are employed to handle experimental data in differing domains owing to their capability of tackling complex computations so that their progressive application can solve practical problems. One of the other most noteworthy tools which arises in the fractional calculus context is the Mittag-Leffler (ML) functions. Mittag-Leffler distributions have extensive application domains when dealing with irregular and nonhomogeneous environments for dynamic problems' solutions. They can be used in reliability modeling as an alternative for exponential distribution, particularly this provides upper hand for diagnostic and predictive purposes in precision medicine through novel algorithmic models. To address this, the proposed method in the current study has obtained the generation of optimum model strategies for different biology datasets along with Mittag-Leffler functions with heavy-tailed distributions (see Part I). Within this framework, the proposed integrated approach in this study investigates the dynamics of diseases related to biological elements; and arising in the different solutions of varying complex biological systems, ML function generalizes the exponential function. To this end, firstly, the two-parametric Mittag-Leffler function was applied to biological datasets (cancer cell dataset and diabetes dataset, namely raw datasets), namely cancer cell and diabetes in order to obtain the new datasets (ml_cancer cell dataset and ml_diabetes dataset). Heavy-tailed distributions (The Mittag-Leffler distribution, Pareto distribution, Cauchy distribution and Weibull distribution) were applied to the new datasets obtained with their comparison performed in relation to the performances (by employing the log likelihood value and the Akaike Information Criterion (AIC)). ML functions that represent the cancer cell and diabetes data were identified so that the two parameters Eα,β(z) yielding the optimum value based on the distributions fit could be found. Secondly, one of the ANN algorithms, namely Multi-layer Perceptron (MLP) (along with the accuracy, sensitivity, precision, specificity, F1-score, multi-class classification (MCC), ROC curve), was applied for the diagnosis and prediction of the disease course regarding the optimum ML functions that represent the cancer cell and diabetes datasets obtained and the performances of the ML functions with heavy-tailed distributions were compared with ANN training functions (Levenberg-Marquart, Bayes Regularization and BFGS-Quasi-Newton) accordingly. The integrative modeling scheme proposed herein, which has not been addressed through this sort of approach before, is concerned with the applicability and reliability of the solutions obtained by Mittag-Leffler functions with heavy-tailed distributions. The results obtained by the current study for diseases related to biological datasets based on mathematical models demonstrate that the integrative approach with Mittag-Leffler function and ANN applications is applicable and fits very well to the related data with the robust parameters' values observed and estimated. When the fact that complex biological phenomena involve various intrinsic and extrinsic aspects is considered, it becomes a major difficulty to make identifications and recognition on the basis of a single type of data merely. Thus, the proposed approach of our study corroborates its applicability for diagnostic and predictive purposes in precision medicine through the novel algorithmic model, which plays a significant role in the effective and timely management of unpredictable phenomena in dynamic and nonlinear complex situations. © 2022 Elsevier Inc. All rights reserved.
Citation - WoS: 0
Citation - Scopus: 0
At the convergence of energy corridors: energy situation in Turkey and a critical evaluation with Porter's model
(Igi Global, 2017) Gokmen, Aytac; Nakip, Mahir; 17660; 118963; Uluslararası Ticaret ve Finansman
Turkey is at the threshold of Eurasia connecting various energy corridors. It has an improving economic volume and is one of the 20 largest economies in the world. Energy and economic development are highly correlated. Turkey is dependent on imported energy. In order to keep up with the economic expansion, the energy requirements of Turkey must be met in a diversified, timely and reliable way. Thus, the aim of this paper is to define the geographic disposition of Turkey at the convergence of energy lines, review its energy situation comprehensively and make critical evaluations on energy and economy related issues, also with using the diamond model developed by Michael E. Porter resting on credible national and international publications and data.
Citation - Scopus: 0
Beyond the Bully: Exploring the Surprising Performance-Related Outcomes of Abusive Supervision
(Nova Science Publishers, Inc., 2024) Tokat, T.; Çivit, S.; Göncü-Köse, A.
The common definitions of leadership include positive qualities such as vision, ethics, responsibility, respect, and trustworthiness. However, recent studies revealed an increase in unethical behaviors performed by organizational leaders, prompting academics to investigate the harmful types and impacts of leadership. One area of focus has been abusive supervision, which was found to have both positive and negative effects on organizational outcomes including subordinate and supervisor performance. While the harmful effects on subordinates have been a major focus in studies on abusive supervision, some scholars suggested that supervisors’ abusive behaviors may yield temporary functional results and be used as a strategy for leaders to improve work performance. To illustrate, researchers demonstrated the positive association between abusive supervision and work performance when subordinates attribute abusive behaviors to an effort to increase motivation rather than an intention to harm the employee (Li et al., 2022; Liao et al., 2021; Tepper et al., 2015). However, there is limited knowledge about these destructive behaviors’ impact on supervisors. One of these few studies showed that engaging in abusive supervisory behavior was positively correlated with supervisors’ recovery levels. Moreover, abusive supervisory behavior indirectly contributed to increased work engagement through its positive effect on the recovery level (Qin et al., 2018). The present chapter provides a comprehensive overview of the effects of abusive supervision on work performance, outlining both the negative and positive work-, employee-, and supervisor-related outcomes. Additionally, this chapter unfolds potential directions for future research regarding the relationships of abusive supervision with in-role and extra-role performance. Finally, we present practical recommendations for leaders and organizations to minimize the detrimental effects of abusive supervision. The literature findings will be presented in conjunction with various theoretical explanations, concepts, and propositions. © 2024 by Nova Science Publishers, Inc.
Citation - Scopus: 7
Bitcoin Market Price Analysis and an Empirical Comparison with Main Currencies, Commodities, Securities and Altcoins
(Springer Science and Business Media Deutschland GmbH, 2019) Pirgaip, B.; Dinçergök, B.; Haşlak, Ş.; Bankacılık ve Finans
The purpose of this study is to analyze Bitcoin (BTC) market prices and to answer the question of whether there is a relationship between BTC and other asset prices, where other assets include currencies, commodities, securities and altcoins. In the empirical part, we evaluate the lead-lag relationships among each type of asset. Consequently, we compare BTC with major currencies and stock exchanges of the U.S., the EU, the U.K. and Japan (USD-SPX, EUR-DAX, GBP-FTSE and JPY-NIK), with currencies and stock exchanges of the U.S., the U.K., Russia, Venezuela and China where BTC is actively traded (USD-SPX, GBP-FTSE, RUB-MOEX, VEF-IBVC and YUAN-SSCE), with major commodities (GOLD and OIL) and with major altcoins (ETH, XRP and LTC) on a daily basis for the period spanning from 2010.07 to 2018.12. We employ Johansen co-integration, Granger causality, impulse response functions and forecast error variance decomposition analyses in our study. Our results show that BTC does not have a long-run relationship with any asset type, but that it has a short-run relationship with gold and especially altcoins, which are both significant and bidirectional. While BTC and altcoins are closely interrelated with each other, BTC price variation is mostly borne by its own prices in all cases. © Springer Nature Switzerland AG 2019.
Citation - WoS: 0
Can Term Structure of Interest Rate Predict Inflation and Real Economic Activity: Nonlinear Evidence From Turkey?
(Springer, 2011) Omay, Tolga; 19320; Çankaya Meslek Yüksekokulu
Citation - WoS: 1
Citation - Scopus: 1
Cantor-Type Spherical-Coordinate Method for Differential Equations Within Local Fractional Derivatives
(de Gruyter Open Ltd, 2015) Rahmat, Mohamad Rah Segi; Baleanu, Dumitru; Yang, Xiao-Jun; Matematik
In this article, we utilize the Cantor-type spherical coordinate method to investigate a family of local fractional differential operators on Cantor sets. Some examples are discussed to show the capability of this method for the damped wave, Helmholtz and heat conduction equations defined on Cantor sets. We show that it is a powerful tool to convert differential equations on Cantor sets from Cantorian-coordinate systems to Cantor-type spherical-coordinate systems.

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