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Digital transformation has made enormous changes in the banking domain, where FinTech is the salient driving force inside it. Especially in the banking industry, Artificial Intelligence (AI) and Blockchain technology act as the most innovative technologies. Similarly, Chatbots in commercial banking and Robo-advisors in investment banking has shifted banks into the entire virtual environment. In this context, the main objectives of this chapter are: to determine the current application of AI and blockchain in the banking industry, to identify the challenges faced by banks in adapting AI and blockchain technology, and to provide new insights on future banking in the industry 5.0 in this digital era. This chapter discusses the application of two robotic platforms widely used in banking, chatbots, and Robo-advisors. Chatbots are more like frontline employees of banks who are commonly engaged in customer relationship management, sales, and marketing. In contrast, Robo-advisors are a relatively advanced AI tool involved in investment and portfolio management. Blockchain will accelerate digital transformation where a decentralized digital ledger system is used for banking transactions. However, this is entirely the opposite of conventional centralized digital banking, and the adoption of these technologies is still in its infancy. Employment, performance, security, privacy and trust, cost, ethical and regulatory challenges are the most common challenges. To avoid the challenges, banks should concern with strategies like collaboration with robots, increasing the platforms’ performance, etc. Finally, the chapter provides insights on banking at industry 5.0. In the future, banking customers can experience completely virtual and customer-oriented banking services. In this regard, the fusion of all technologies and collaborative human effort is essential.

Recent development and democratization of digital technologies call for studying base-of-the-pyramid (BOP) consumers’ interactions with these technologies. This study aims to explore how BOP consumers interact with mobile information and communication technology (mICT) and improve their welfare.

Following an extensive literature review, content analysis of the reviewed articles and reports was conducted to build this article’s conceptual foundation.

This study has conceptualized five mechanisms in which mICT improves the lives of BOP customers through enhanced access and control of resources. In particular, the authors characterize a converging nature of mICT and related applications (social media, internet of things, artificial intelligence and sharing economy) as resources for social change. The authors find a striking contrast between BOP and affluent consumers regarding their motivations and barriers to adopting mICT-based applications. Implications to research, technology design and policymaking are discussed.

The intersection of mICT and BOP is under-researched. With this paper, we tried to address this research gap. Further, this study has brought out several important research questions in each application, serving as a springboard for future researchers.

The seconf of two articles on the transfer from foreign companies to affiliates in China. Addresses wholly owned subsidiaries. Tries to determine strategic management know‐how and if it is currently being transferred. Attempts to forecast the likelihood of access to China’s domestic market and if this will grow.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This study aimed to identify the professional development needs of academics in Hong Kong higher education for the use of educational technology.

An online survey was conducted in 2017, which involved 374 academics from Hong Kong higher education institutions. The survey covered their perception and use of educational technology for professional activities and their relevant professional development needs.

The results showed an overall positive perception by the academics of the usefulness of online learning with the aid of technology, which was regarded as an effective complement to face-to-face learning. However, their use of educational technology focused only on general online applications, such as document and video-sharing tools, and e-learning platforms. Among various professional development needs, those related to the use of specific educational software with sharing of practical examples were considered to be most highly desired by the academics. In addition, the academics working in lecturer positions tended to use more online applications and had a higher need for professional development, than those with more teaching experience.

The findings contribute to identifying the current status of the use of educational technology and the professional development needs among academics in Hong Kong, as well as the differences between academics in different job positions and with different amounts of teaching experience. The results help in designing suitable professional development activities which address the specific needs of academics.