Search results

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

Virtualization is the simulation or emulation of computer resources to the user (Grauer, n.d.; Simpson, 2008). This chapter discusses virtualization as a viable classroom methodology for providing students with course relevant hands-on experience (Simpson, 2008) while synchronizing course specific content in traditional on-ground and online courses (Pheils, 2010). More specifically, this chapter provides an overview of virtualization, detailing several open source tools, and offering possible applications for incorporation into other courses including free resources for sample content. Proof-of-concept is established through examples of successful usage at two colleges. The adoption of virtualization within course development may provide a solution that spans disciplines and offers students the ability to practice and further their studies beyond the classroom.

The main objective of this chapter is broadening the understanding of anthropomorphic artificial intelligence (AI) (e.g. avatars, humanoid robots, chatbots) in both physical and digital environments. The chapter strives to demonstrate how organisations can curate relationship marketing and enhance customer experience by employing anthropomorphic AI. To achieve this, the chapter extends existing understanding in three ways. First, it explains the interconnectivity between relationship marketing and customer experience. Second, it presents anthropomorphic AI along with its different characteristics and technologies. Third, it offers some real-life uses cases and examples of such AI drawing from practical insights into five selected industries. Overall, the chapter provides some food of thoughts concerning the successful application and deployment of anthropomorphic AI in marketing practices.

As costs around the world continue to rise for education, institutions must become innovative in the ways they teach and grow students. To do this effectively, professors and administrative staff should push toward the utilization of Open Source Software (OSS) and virtual tools to enhance or supplement currently available tools. In developing countries, OSS applications would allow students the ability to learn critical technological skills for success at small fraction of the cost. OSS also provides faculty members the ability to dissect source code and prepare students for low-level software development. It is critical that all institutions look at alternatives in providing training and delivering educational material regardless of limitations going forward as the world continues to be more global due to the increased use of technologies everywhere. Doing this could provide a means of shortening the education gap in many countries. Through reviewing the available technology, possible implementations of these technologies, and the application of these items in graduate coursework could provide a starting point in integrating these tools into academia. When administrators or faculty debate the possibilities of OSS, gaming, and simulation tools, this applied research provides a guide for changing the ability to develop students that will be competitive on a global level.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.