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The real estate industry has rapidly changed due to technological advances across residential and commercial real estate from the perspective of occupiers, investors, and service providers. Owners and buyers of properties have access to increasing information in the marketplace, including access to residential real estate platforms such as Zillow. Automated appraisals and artificial intelligence (AI) in the mortgage application process speed up home buying. Commercial real estate uses fintech to source deals, perform due diligence, and execute property management requests. This chapter includes a practitioner's view of the current and future information data needs, processes, and point solutions in the evolving technology landscape, including how tools such as ChatGPT apply. It concludes that the real estate fintech revolution has only begun, as data gaps in the real estate market require resolution before yielding better process automation and as the business model of real estate service providers shifts to strategic advisory roles.

It's no longer a secret that a hassle-free life and better human development index are only possible in smart cities with appropriate and efficient deployment of artificial intelligence (AI)-based technologies where the best results of data analysis are being used. Technology is becoming more productive using circular economy while employing all the dimensions of AI where integration of results is being incorporated as an outcome of data analysis received from different segments i.e., Traffic Management, Public Safety, and Movement, Security and surveillance, Waste Management Systems, or the Energy Management, etc. This chapter specifically talks about areas where AI is facing challenges in the implementation and administration of smart cities while covering the intrinsic challenges faced in specialized domains such as Public Sanitation, Virtual Parking Management, Traffic Congestion, Security Surveillance, and many more discussed as case study relating to the functioning of the circular economy. In the last, we have summarized the impact of AI on the CE and its future scope where AI can play a better role in increased productivity, increased efficiency, robust safety and finally economic benefit for long-term stable economic stability, development and inclusive growth.

This chapter explores the implications of acknowledging one's own excessive entitlement and living contradictions in contributing to Living-Educational-Theory Research. The analysis emphasises the importance of accepting one's educational responsibility for one's own continuing professional development in inquiries of the kind that address this query: ‘How do I improve my professional educational practices in education with values of human flourishing?’ This responsibility includes making public evidence and values-based explanations of educational influences in learning, in contributing to the global knowledge base of education.

The notion of excessive teacher entitlement was coined by Ratnam to characterise the putative deficit view of teachers that is projected onto them. Craig (2013) developed Schwab's concept, the teachers' ‘best-loved self’, to embrace teachers' input in promoting the learning and well-being of all in the institutions they serve (Ratnam & Craig, 2021). My experiences of being a living contradiction are grounded in a tension between my best-loved self and my experience of excessive entitlements. Living educational theories research in which individual practitioner-researchers generate their validated, evidence- and values-based explanations of educational influences in their own learning, in the learning of others and in the learning of the social formations that influence their practice with values of human flourishing, have helped me leverage the potential for growth afforded by this tension. The perspective draws insights from the disciplines of education including Habermas's Critical Theory. It also includes insights from other methodologies such as autoethnography, action research, phenomenology, self-study and narrative inquiry.

Talent management is conducted to maximize an organization's overall performance and efficiency which helps to serve as a competitive advantage. Human resource management is a concept which includes human-related activities, but talent management is a strategy which helps to get new talent, develop their skill sets and provide better employee engagement and experience to retain the top potential employees in an organization. Improvement in recruiting and retention of a workforce results from a well-executed talent acquisition approach. In the 21st century, employee retention has become a primary concern for the organizations specially with work from home and hybrid models.

The workforce for tomorrow is going to be very different from what it has been. Technology is transforming the way people work within organizations. The workplace is rapidly evolving in terms of people and processes and is going through a lot of technological changes. The terminologies such as automation, artificial intelligence, augmented reality and block chain technologies are slowly becoming part of the workplace and everyday activities of the organization.

The challenges are many and especially post-pandemic organizations are going through some major changes such as a mindset shift of employees to take up more remote working opportunities, building virtual teams, increase in the gig economy workers (contractual workers) and a diverse workforce which makes it even more challenging for the organization to manage and retain talent.

This chapter examines three common fintech use cases transforming the financial industry. First, the chapter introduces fintech's role in enhancing financial services and promoting financial inclusion, especially through digital platforms. Second, it investigates various fintech applications that support financial institution management by harnessing the power of artificial intelligence (AI) and machine learning (ML). Finally, the chapter explores fintech use cases related to the regulatory environment, including regulatory technology (regtech), blockchain technology, and cryptocurrencies. The insights presented in this chapter cater to researchers and practitioners keen on better understanding fintech's diverse applications in the ever-evolving financial industry landscape.

This bibliometric analysis underscores the increasing importance of corporate sustainability in the post-COVID-19 era. Despite existing confusion and a dearth of studies on measuring corporate sustainability, the study identifies a significant methodological gap and endeavors to address it by proposing a comprehensive measure. The primary goal is to bridge this gap by conducting a bibliometric analysis on the scale of corporate sustainability, examining 126 documents spanning from 2001 to 2022. The study employs an expert opinion survey to identify and finalize dimensions and sub-dimensions of corporate sustainability, followed by a literature mapping process to formulate questionnaire items. A pilot survey is then conducted to ensure the reliability of the questionnaire. The study proposes utilizing the Organisation for Economic Co-operation and Development (OECD) index construction methodology to establish the Corporate Sustainability Index (CSI). The key findings reveal that corporate sustainability comprises economic, environmental, and social sustainability. Environmental sustainability encompasses aspects such as air, water, land, biodiversity, ocean preservation, waste prevention, and environmental management. Social sustainability involves the satisfaction of various stakeholders, including employees, shareholders, customers, community, government, nongovernmental organizations (NGOs), and suppliers. Economic sustainability is characterized by long-term profits, cost efficiency, trade-offs, sustainable investments, and spin-offs. Rooted in stakeholder theory, the proposed scale holds theoretical significance for researchers and is pertinent to policymakers striving to achieve sustainable development goals (SDGs) by 2030. Additionally, it serves as a crucial tool for practitioners and companies to assess their level of corporate sustainability.

The need for mechanization in company operations during the pandemic has been further illustrated by the pressure to use recent technologies for sustainable business practices. Recent technologies like Internet of Things (IoT), artificial intelligence (AI), big data and cloud are being abandoned in favour of automating business activities during and after the pandemic, to build flexibility and sustainability. The objective of this paper is to give an outline of the literature on the bang of digital metamorphosis on organizational adaptability. The paper focuses on the future of business sustainability from dislocations by espousing recent technologies from different perspectives. As well as the anticipated disruptive developments, the benefits of technology on economics and business are also being felt, but still in their early stages. Similar ideas and methods must be implemented as quickly as is practical, and governments and enterprises must be ready and willing to do so. The transition to a commercial environment that emphasizes technology from alternative distribution channels will have a direct influence on organizational structures. Additionally, they could have training in or experience in positive sciences, which will aid in creating the corporate environment of the future sustainably. Absolutely the variety of technologies in business helps to accelerate business activities and attain the maximum goal before and after the pandemic. It still appears that a hypothetical model is required that could simplify the incorporation of using these technologies during a disaster with business processes. The findings may be applied to manage technology and speed up corporate resilience for a better economy.

Amid multiple crises and increasing volatility, sustainable development is a pressing concern. Higher Education for Sustainable Development, especially Responsible Management Education (RME), drives transformative change by fostering new perspectives on work, decision-making and leadership. Conferences serve as pivotal sustainability discussion platforms, yet many remain traditional and lack interactive student engagement. This hinders active involvement and collaborative problem-solving. The Global Goals Design Jam, a dynamic, nontraditional format explored in this study offers an alternative approach. By blending design thinking and playful learning and constructivist learning methods, the Global Goals Design Jam offers a space for collaborative and creative Sustainable Development Goals (SDGs) solutions. At the ninth Responsible Management Education Research Conference (RMERC) in September 2022, students from various universities took part in a Global Goals Design Jam. The current prestudy postulates that participation in a Global Goals Design Jam is primarily associated with positive attributes related to emotions and a sense of coherence. The potential for empowering learners to navigate real-world complexities and contribute to sustainability is highlighted, establishing formats like the Global Goals Design Jam as a valuable addition to educational conferences with a sustainability focus. The results also highlight potentials and limitations of the format and provide insights into further research requirements.