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This chapter aims to discuss the challenges facing these countries building productive capacity for development. This chapter makes use of data published by international organizations as indicators for measuring the state of development in the Arab region. Several indicators are presented to compare Arab countries with other world regions. The use of data identifies some of the gaps that countries in the Arab region need to close to strengthen capacity building for development and fostering economic growth. The findings from the data presented reveal that the productive structure in most Arab countries remains weak to generate production linkages and provide incentives for investment in nonenergy sectors. The failure of the export-led growth model to diversify output and promote development in energy producing countries has increased the dependence of these countries on global trade. Fluctuations in commodity prices and uncertainty about global demand for energy have influenced the ability of the state to construct strategies for rapid transformation. Except for the energy sector, the productivity of nonoil sectors remains low reflecting inadequate incentives and ineffective entrepreneurial capabilities. The study examines the challenges for building productive capacity in the Arab world. It illustrates the failure of the led-export model and its inability to prompted economic diversification, especially in the Gulf countries. The study contributes to the literature on capacity building in the Arab world so that to encourage researchers and students of development conducting studies concerning the main development challenges facing these countries.

The economic literature on labor migration has incorporated insights from various disciplines with regard to content and method, although the representation of migrants has not fully moved away from the neoliberal, market-dominated framework. This paper addresses the issue of women migrant workers using the particular example of Sri Lankan migrant women workers to the Middle East. It aims to highlight the need for more diversity in economic research without which conceptual representation, as well as empirical reach, is limited.

After a brief overview of the representation of migrants in economic literature, I develop the concept of vulnerability. I refer to qualitative and quantitative analyses on Sri Lankan migrant women workers to the Middle East from a variety of disciplines in order to differentiate the “vulnerable,” that is, the workers in need of protection, from the “vulnerabilities.” The latter concept refers to the debilitating effects on workers, produced by market forces, which are often perpetuated by underlying assumptions, as well as policies. A broader, inter-disciplinary perspective, which considers the agency of women, can go a long way toward removing some of the limitations and preconceptions ingrained in most economic representation. This in turn could help to improve the protection of the vulnerable and empower them to better face market forces.

Creative entrepreneurship is a vital concept that revolves around setting up a business that is novel, thoughtful, lucrative, and yet compassionate. The global pandemic has made people realise the significance and importance of creative entrepreneurship. Self-help groups (SHGs) play a pivotal role in boosting the rural economy and empowering people. Rural creative entrepreneurship has witnessed a significant transformation during the COVID-19 pandemic. The conventional concepts vanished due to the modern shift towards digitisation. Usage of the technology became the new normal and SHGs made all possible efforts to acclimatise promptly. Online virtual meetings, conference calls, and groups on WhatsApp made common people techno-savvy, facilitating work from home. The adoption of digitisation became a catalyst for the development of remote/rural areas. The present study is focused on the role of creative entrepreneurship in supporting and helping SHGs to function seamlessly during the COVID-19 pandemic. The authors aimed at analysing pandemic and post-pandemic creative entrepreneurship through SHGs in Himachal Pradesh (India). The authors identify that Creative Entrepreneurship initiatives have changed and supported the livelihood of rural people during the pandemic. This chapter also highlights challenges faced by the SHGs during the lockdown and their resilience strategies.

This chapter aims to explore the novelty and utility of political economy discourse, termed “neo-statism,” as an analytical lens for comparative research in higher education. Analysis is framed within the context of Hong Kong’s transition from a British colony to a Special Administrative Region under China’s sovereignty, and its shifting academic paradigms from a more or less spontaneous philosophy rooted in liberal capitalist economy to embracing neo-statism, which involves market-conforming and state-sponsored approaches to economic and social restructuring whereby the state regulates higher education in support of national integration and global power projection. The statist regulation depends heavily on its deployment of discursive legitimacy, strategic distribution of resources, organizational synergy, and elite cohesion articulated through higher education policy, research projects, and cross-border academic exchange and cooperation. The Hong Kong case suggests that comparative research in higher education should advance from the methodological aspects of the comparative approach to exploring wider theoretical spectrum, for understanding emerging politico-economic factors shaping academic paradigm in comparative contexts. Moreover, scholars who engage in the trendy internationalization in higher education should move beyond the logics of neo-liberalism, and pay closer attention to the new geopolitical realities that are changing the normative and interactive dimensions of international higher education at large.

Effective leadership is critical in driving innovation and success in organisations, particularly in today’s rapidly changing environment. However, achieving effective leadership at all levels of the organisation can be challenging. This chapter argues that understanding how the brain functions is essential for innovation leaders to achieve positive results and higher rates of success in their projects. By analysing relevant research on neuroscientific functioning patterns and developing interventions based on these foundations, this chapter establishes that the brain’s self-organising ability and cognitive processing systems offer valuable insights for effective innovation leadership. Based on neuroscientific evidence this chapter concludes that effective innovation leadership should focus on inviting others to engaged co-creation, rather than directing others to perform specific tasks as if they were ‘a prolonged arm’. Additionally, effective innovation leadership integrates insights from information processing in the brain by providing behavioural-oriented impulses that activate the brain, enabling individuals to maintain focus, restore motivation or emotional stability, enhance mood and confidence, and increase cognitive flexibility. Evidence-based interventions range from structured breaks to powernapping and walking. The importance of self-leadership is stressed throughout the chapter. By deriving solutions from an understanding of how the brain functions, interventions that may have been known for a long time can become evidence-based and optimised for use in organisations. Future research could explore the intersection of neuro- and behavioural science with leadership to further innovate organisational principles.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.