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Purpose: The COVID-19 pandemic is the most severe threat we have faced since World War II. So far, there have been about 5 million recorded cases, with over 300,000 fatalities globally. The epidemic is also wreaking havoc on the corporate world. People are losing their jobs and money, and no one knows when normalcy will return. So, addressing the VUCA Leadership Strategies Model is important to get more insight into this topic.

Need for the Study: According to the International Labor Organization, the pandemic might cost 195 million jobs. Even when the immediate impacts wear off, the long-term economic impact will reverberate for years. All four volatile, unpredictable, complex, and ambiguous (VUCA) characteristics apply to the issues we confront due to the coronavirus.

Methodology: Changes caused by COVID-19 occur daily, and are unpredictable, dramatic, and quick. No one can predict precisely when the epidemic will end or when a treatment or immunisation will be available. The pandemic impacts many parts of society, including health care, business, the economy, and social life. There is no ‘best practice’ that enterprises may utilise to tackle the pandemic’s issues. The VUCA leadership strategy models will be discussed and compared in this research study.

Findings: In this moment of transition, leaders must adhere to their fundamental values, core purpose, and ambition for big, hairy, and audacious goals.

Practical Implications: In this chapter, VUCA leadership strategy models will be discussed in detail for pre- and post-pandemic scenarios and their impact on different sectors, which will be very important for researchers in the same field.

The Government of Ireland, through the Department of Further and Higher Education, Research, Innovation and Science (DoFHERIS), sets the framework for the national research ecosystem. Within that ecosystem, the Research Management and Administrators (RMA) community evolved in response to changing circumstances and continues to evolve becoming a more professional and expert community. The profile of the community, admittedly based on a small sampling, is normal with a hint that females occupy the most senior roles. Most Irish research-performing organisations (RPOs) including the HE sector, College and State Research Organisations (CSRO), and the Health Service have RMA members active in The European Association of Research Managers and Administrators (EARMA). The next step in the profession’s evolution in Ireland has to be the development of a single, national, and inclusive RMA network providing a representative voice for the profession with respect to issues such as career development and career paths.

Purpose: This chapter aims to unveil the challenges of adopting and using banking chatbots in India and identify the challenges of Chat Generative Pre-trained Transformer (ChatGPT) for future banking.

Need for the study: Unveiling the challenges of chatbots and ChatGPT in the banking industry in India is crucial to understand the limitations and areas of improvement to enhance customer experience, ensure data security, and maintain regulatory compliance.

Methodology: The researchers conducted a narrative review systematically summarising and analysing existing literature on chatbots and ChatGPT, providing a comprehensive overview of the challenges faced in the industry.

Findings: The authors identify perceived risk, platform quality, connectivity and infrastructure, data privacy and security, user education and acceptance, existing legacy systems, and regulatory guidelines as the challenges of adopting chatbots. Additionally, the findings reveal that the challenges posed by ChatGPT in future banking include the potential reduction of traditional banking jobs, linguistic diversity, data privacy and security, ethical considerations and bias mitigation, explainability and accountability, integration with existing banking systems, and user trust and acceptance. However, implementing these new technologies also presents opportunities for individuals with unique human skills, such as critical thinking, empathy, and creativity, which are difficult to replace with technology.

Practical implications: By minimising the challenges of ChatGPT and chatbots, the banking industry could achieve improved customer service, cost efficiency, automation of routine tasks, and 24/7 availability, leading to enhanced customer satisfaction and operational efficiency in the banking industry. Additionally, these artificial intelligence (AI) tools enable data-driven insights, personalised experiences, scalability, and efficient handling of large customer volumes, contributing to better decision-making and enhanced customer engagement.

This chapter employs the shared leadership model in exploring how leaders of higher education institutions (HEIs) can partner with Public Policy Groups (PPGs) within the Global South, a region characterized by complex challenges such as underdeveloped economies, corrupt leadership, limited financial and human resources, and political instability in some cases. The driving forces for collaboration include interconnected national policies, shared goals, responsibility, and accountability for resources. The Zambian Higher Education Policy (HE policy) draws on national, regional, and global aspirations for education and skills development, making it a suitable tool for advancing a common agenda for social, economic, and environmental sustainability. HEIs can use their collective leadership competencies to understand the multidimensional context in which they must exercise their varied roles. HEIs require relational and dynamic processes, practices, and narratives to negotiate the ups and downs of the complex terrain for sustainable development and drive a more transformative and complementary agenda for change.

Exploring how racism continues to persist throughout public and nonprofit organizations is central to undoing persistent society-wide injustices in the United States and around the globe. The authors provide two cases for identifying and understanding the ways in which philanthropy’s whiteness does harm to K–12 students and communities of color.

In this article, the authors draw on critical race theory and critical whiteness studies, specifically Cheryl Harris' work to expose the whiteness of philanthropy, not as a racial identity, but in the way that philanthropy is performed. The authors characterize one of the property functions of whiteness, the right to exclude, as working through two mechanisms: neoliberal exclusion and overt exclusion. Drawing on this construction of the right to exclude, the authors present two cases: the Bill & Melinda Gates Foundation and the City Fund.

Whether intentional or not, the Gates Foundation and the City Fund each exclude communities of color in several ways: from changes to schools and districts, parents' experiences navigating school enrollment due to these changes, to academic assessments and political lobbying.

These cases provide a way for researchers and practitioners to see how organizations in real time reify the extant racial hierarchy so as to disrupt such organizational processes and practices for racial justice.

With the government’s increased investment in sci-tech and the requirement of scientific research management, RMAs have gradually flourished in China after the 1980s. However, there is no professional qualification specifically for RMA in China and RMA professionals are from various departments. With the arrival of the 21st century, the rapid development of sci-tech has led to the strengthening of the position and role of RMA in research activities. The profession of RMA has made great progress, and a professional contingent of RMA has gradually been formed. This chapter will review the history and development of RMAs in China. Specifically, it includes the evolutionary history of China’s sci-tech policy, how RMAs developed as a profession, current state of RMAs, the size and nature of the RMA profession (taking the academic community CASSSP as an example), and future trends of RMAs in China.

This paper examines rent determinants and their relationship with commercial office property rents.

The method adopted in this study differs from that of previous studies on this topic. Firstly, based on the survey of the viewpoints of experts, Relative Importance Index (RII) analysis was used to identify rent determinants and to rank and ensure their relevance and validity in the Sri Lankan context. Secondly, sampling of data related to 115 office properties collected from property tenants and landlords located within the central built-up area of Colombo City was conducted using a multi-methods approach to carry out an objective hedonic analysis of office rents.

This research utilizes RII and hedonic models to provide insights into determinants and relationships. Both analyses confirm that the three top drivers of commercial office rent are distance from the major town center, availability of parking space and the condition of the property. In addition to these three factors, hedonic models reveal that the age of the property and the availability of a conference hall also play a relevant role in explaining office rents. Given the disparities in the findings of the two methods, further examination was able to confirm that factors such as distance from the major town center, parking availability, age of the property, presence of a conference hall, building condition, floor size, business type and type of building are likely to influence commercial office rent. These findings reflect elements such as the quality, newness and better facilities of different office properties.

This systematic study and analysis of office rent for the guidance of real estate investors can support sound investment decisions, potentially leading to more financially sound property development, reduced public debt levels and improved public-private financing. Further, the research findings offer valuable insights to real estate investors, developers and planners regarding location decisions for office development quality enhancements in future office developments.

This research provides fresh insights into the local scale office market, an area where limited evidence currently exists. Further, the methodology adopted provides evidence that hedonic analysis, supported by a multi-method approach, can mitigate the subjective judgments made by professionals.

Indonesia subscribes to rights-based principles of family planning. However, a chasm between principles and practice has long been noted on a global basis, and progress has not been well-documented. This paper aims to assess the extent to which the Indonesian national family planning program has evolved in a manner that is consistent with rights-based principles.

The primary source of data was five Indonesian Demographic Health Surveys undertaken from 1997 to 2017. The analyses were organized around three major categories of family planning-related human rights. Trend analysis and logistic regression were used in analyzing the data.

Indonesian women have considerable autonomy in family planning decision, reporting that family planning decisions were mainly made by themselves or jointly with their spouse. Although contraceptive method awareness and demand for family planning are high, Indonesia fares poorly with regard to informed choice in contraceptive method selection. Access to family planning services is comparatively high as judged by contraceptive prevalence, family planning demand satisfaction and unmet need for family planning. However, significant geographic and socioeconomic inequity were observed on many indicators, with eastern Indonesian provinces consistently lagging behind.

This paper focuses on married couple, as Indonesia has a restrictive policy to limiting access and information of family planning for other groups, unmarried youth in particular.

This paper makes an important contribution to document how effectively the prohuman rights policy orientation toward family planning has been translated into services.