Globalization and related technological developments have increased competition and put organizations in a struggle to survive in an extremely difficult market condition. Organizations adopt their technologies and infrastructures to today’s conditions to gain a sustainable competitive advantage and maintain their existence. However, all these efforts of organizations are easily imitated by rival companies and may cause the loss of competitive advantage.

The resource-based view provides additional information that strategic human resource is the scarce, valuable, inimitable and non-substitutable resources of organizations, thus enabling them to gain a competitive advantage. According to this view, the competitive advantage of the organization is achieved by combining valuable internal resources. Nowadays, sustainable competitive advantage is provided not by environmental factors or physical capital but by human capital (employees) efficiency. In this context, the attitudes and behaviors of employees who make up human resources are important for their organizational success. Many studies emphasize that positive attitudes and behaviors (e.g. innovative work behavior, work engagement, job satisfaction) in employees have important contributions to the success of the organization, while similarly negative attitudes and behaviors (e.g. organizational silence, turnover intention) are one of the main reasons for the failure of the organization.

In our book, literature has been created on the definition, antecedents, and organizational results of new and current concepts that are newly conceptualized in the literature and are still in their infancy. It is considered that this cumulative literature within the book will be a source for future studies on these subjects and will provide important insights for practitioners.

This book offers a comprehensive journey through the evolving world of cryptocurrencies and their intersection with modern econometric forecasting. From the origins of Bitcoin and the rise of decentralized finance to the emergence of smart contracts and digital communities, readers gain a deep understanding of blockchain’s economic and societal impact. Bridging theory and practice, the book explores ARIMA models, machine learning, and neural networks as powerful tools for forecasting in a data-driven economy. It also addresses critical issues such as model interpretability, ethics, and regulatory challenges. Ideal for economists, data scientists, and crypto enthusiasts alike, this work emphasizes the importance of interdisciplinary thinking in navigating the future of finance, technology, and economic modeling in an increasingly digital world.