Artificial intelligence and business applications, an introduction

Abstract

Considering the extreme significance of artificial intelligence (AI) for the academic research, business practices as well as governmental policies, this article reviews the development and application of AI via a management and development perspective. In particular, this article starts with the discussions how AI might bring about new competition and collaboration relationships among countries and firms. We then analyse key elements for AI firms to secure public funding. In addition, this study summarises the characteristics of AI's new applications in multiple business scenarios, such as entrepreneurial social networks and strategic human resource management. Finally, the relationship between blockchain and AI is briefly introduced.

The Application and Ethics of Artificial Intelligence in Blockchain

“…By contrast, AI technologies may extract and transform data into valuable insights (e.g., neural networks, data mining) and generative solutions (e.g., genetic algorithm, machine learning) for blockchain applications. AI-enabled blockchain refers to integrating AI and blockchain, where AI enables analytics and decision-making based on data collected, shared, and stored by blockchain (Xiong et al, 2020). The synergy between AI and blockchain is akin to the cooperation between the body and the brain.…”

Nurturing a Climate of Innovation in a Didactic Educational System: A Case Study Exploring Leadership in Private Schools in Turkey

“…Educational institutions can respond to meet this goal by fostering their students' development and alumni knowledge (Flores-Crespo, 2007). However, educational leaders face uncharted territory in the twenty-first century with new challenges, including rapid technological advances (Ashton & Stacey, 2009), a new generation of students living and learning in a digital world (Willoughby & Wood, 2008), a volatile and interconnected world economy (Millar & Salt, 2006), and a perceived imperative for a creative workforce in need of education (McWilliam & Haukka, 2008). Moreover, the labor market requires employees to be adaptive and rapid decision-makers (Girginer, 2013).…”