Erişim şekli için "info:eu-repo/semantics/closedAccess" Yönetim Bilişim Sistemleri listeleme
Toplam kayıt 33, listelenen: 1-20
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Analysis of customer churn in the banking industry using data mining
(2022)Today, banks have a very important place in the great economic environments of countries. As in every sector, there are many competitors and a great competitive environment in the banking field. Especially individual ... -
Analysis of digital marketing strategies of deposit banks in Turkey via text mining twitter posts
(Springer, 2020)In today’s world, marketing activities of organizations through social media have become extremely important. While earlier marketing campaigns of organizations were provided through television advertisements and posters, ... -
Bridging the gap between technology and farming in agri-tech: a bibliometric analysis
(2024)Agri-tech, or the application of technology to agriculture, has the power to transform farming methods and find solutions to the problems the industry faces. With an emphasis on comprehending the significance of numerous ... -
Business intelligence application in the natural gas industry: A company case
(Springer Science and Business Media Deutschland GmbH, 2021)Recently, information technology tools have been extensively used to accelerate the flow of data, and huge amounts of data have been generated. Therefore, the advantages of having a large amount of data are quite high, ... -
Comparative study of the forecasting solar energy generation in Istanbul
(Springer Science and Business Media Deutschland GmbH, 2022)The importance of renewable energy sources makes it extremely important day by day due to the limited reserves of fossil fuels and the damage they cause to the environment. Fossil fuels play an important role in electrical ... -
A decision support system for detecting FIP disease in cats based on machine learning methods
(2024)Cats are close friends who live with us in all aspects of life. Many diseases endanger the quality of life of cats that live with us. One of the most dangerous is infectious peritonitis in cats, also known as FIP; which ... -
Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to determine the factors affecting the exchange rate risk of companies. In this context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their titles, abstracts, and ... -
Determining the ways to increase economic growth of developing and developed economies: An application with data mining and fuzzy TOPSIS
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to identify the influencing factors of economic growth for both developing and developed economies. Firstly, literature is reviewed, and 7 different variables are selected as leading indicators of the ... -
A framework for robust estimation of beta using information fusion approach
(Springer, 2018)In terms of financial management, the precise estimation of the beta of a financial asset is of vital importance. Beta is the measure of the relationship between the return of an asset or a portfolio and the market return ... -
How is the stock exchange index affected by the disclosures of politicians?
(Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to understand the main influence of the politicians’ disclosure on the stock exchange index. In this context, a machine learning model is built in order to understand the hidden patterns ... -
How will metaverse and ai change traditional marketing techniques?
(IGI Global, 2023)The development of technology has transformed the process of product development and customer relationship building. It shows impressive results in deep learning and AI applications. Companies can see farther and make ... -
Identifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economies
(Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to define the leading indicators of the 2008 global financial crisis for both developing and developed economies. In this context, 16 different variables are defined with the help of ... -
Implementing adaptive strategies of decision support systems during crises
(Springer International Publishing Ag, 2017)A typical Decision Support System requires data access, a model enhanced with proper machine learning algorithms and a user interface. So, thanks to the development of fast machine learning algorithms and big data, Decision ... -
The influence of the politicians on macroeconomic performance: An analysis of donald trump’s tweets
(Springer Science and Business Media Deutschland GmbH, 2021)The aim of this study is to understand the role of the politicians on the macroeconomic situation of the countries. For this purpose, the tweets of Donald Trump are taken into consideration. Text mining approach is used ... -
International market entry strategies
(IGI Global, 2023)Entry mode selection is one of the most strategic aspects of international business. The selection of international market entry strategy is an institutional decision that comprises the choice of target market, entry mode, ... -
Introduction to data science and machine learning algorithms
(Springer Science and Business Media Deutschland GmbH, 2021)Data science has gained importance since available data and hardware facilities have been ubiquitous. Algorithms to process a huge amount of data and extract information were developed decades ago. However, due to the lack ... -
Malicious URL detection using machine learning
(IGI Global, 2020)Recently, with the increase in Internet usage, cybersecurity has been a significant challenge for computer systems. Different malicious URLs emit different malicious software and try to capture user information. Signature-based ... -
Non-cryptographic privacy preserving machine learning methods: a review
(Springer Science and Business Media Deutschland GmbH, 2024)In recent years, the use of Machine Learning (ML) techniques to exploit data and produce predictive models has become widespread in decision-making and problem-solving across various fields, including healthcare, energy, ... -
Organizational sustainability, legitimacy, and multinational companies
(IGI Global, 2024)The aim of this book chapter is to anlayze how internationalization of multinational companies affect organiational sustainability. Organizational sustainability has a contrasting perspective with respect to the dual effects ...