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Singapore is perceived to be the least corrupt country in Asia according to Transparency International's Corruption Perceptions Index (CPI) from 1995 to 2010. In 2010, Singapore was ranked joint first with Denmark and New Zealand among 178 countries on the CPI with a score of 9.3. However, this does not mean that corruption does not exist in Singapore, which has its share of corruption scandals too. Indeed, the scandal involving Teh Cheang Wan attracted a great deal of attention because he was the Minister for National Development in Singapore from 1979 to 1986.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

Sudden crises, known as environmental jolts, can cripple unprepared organizations. In recent years, financial jolts have led many organizations, particularly government organizations, to respond by furloughing employees. Furloughs can engender various responses in employees that can lead to negative work outcomes for both the employees and the organization. Previous research shows that the implementation of strategic human resource management (SHRM) practices, such as commitment-based systems, can mitigate the negative effects of environmental jolts. Utilizing the knowledge-based view and affective events theory, we propose a multilevel model where SHRM practices moderate employee affective responses to furloughs, which, in turn, drive subsequent employee behavioral outcomes.

Corruption has been defined in different ways by various scholars and organizations according to cultural, legal, or other factors (Organization for Economic Co-operation and Development, 2008, p. 22). The word “corruption” is derived from the Latin word corruptus and, according to the dictionary, it has six possible meanings: dishonesty for personal gain; depravity; undesirable change; corrupting of something; altered word or phrase; or rotting.¹ However, the most useful typology of contemporary social science definitions of corruption is Arnold J. Heidenheimer's typology of three major types of definitions (Heidenheimer, 1970, pp. 4–6).

Corruption was a serious problem in Singapore during the British colonial period and especially after the Japanese Occupation (February 1942–August 1945) mainly because of the lack of political will to curb it by the incumbent governments. In contrast, the People’s Action Party (PAP) government, which assumed office in June 1959 after winning the May 1959 general election, demonstrated its political will with the enactment of the Prevention of Corruption Act (POCA) in June 1960, which strengthened the capacity of the Corrupt Practices Investigation Bureau (CPIB) to combat corruption effectively. Indeed, Singapore’s success in curbing corruption is reflected in its consistently high scores on Transparency International’s Corruption Perceptions Index (CPI) from 1995 to 2012 as the least corrupt country in Asia. Singapore was ranked first with Denmark and New Zealand in the 2010 CPI with a score of 9.30. Similarly, Singapore has been ranked first in the Political and Economic Risk Consultancy (PERC) annual surveys on corruption from 1995 to 2013. Why has Singapore succeeded in minimizing the problem of corruption when many other Asian countries have failed to do so? What lessons can these countries learn from Singapore’s experience in combating corruption? This chapter addresses these two questions by first describing Singapore’s favorable policy context, followed by an identification of the major causes of corruption during the British colonial period and Japanese Occupation, and an evaluation of the PAP government’s anti-corruption strategy.

In a pandemic framework (COVID-19), this chapter explores the impact of the global economy and socio-cultures concerning three axes: recreational, tourism, and hospitality. Although we slowly see an economic revival, it is well known that this sector of study is very susceptible to being affected by the context of nations. Following restrictions and measures taken by governments around the world to reduce the number of cases of coronavirus infections, many nations closed their borders, affecting international travel and by 2020 tourism had been reduced to the near cessation of operations due to the imminent fear of this poorly studied disease, and the service sector was negatively affected. It should be added that, according to the World Tourism Organization's projections, a decrease of between 20 and 30% is forecast for 2020 compared to the previous year.

Corruption is a serious problem in many Asian countries, judging from their ranking and scores on Transparency International's Corruption Perceptions Index (CPI). To combat corruption these countries have relied on three patterns of corruption control. The first pattern relies on the enactment of anti-corruption laws without a specific agency to enforce these laws. For example in Mongolia, the Law on Anti-Corruption that was introduced in April 1996 is jointly implemented by the police, the General Prosecutor's Office, and the courts (Quah, 2003a, p. 44)¹. The second pattern involves the implementation of anti-corruption laws by several anti-corruption agencies. In India, the Prevention of Corruption Act (POCA) is implemented by the Central Bureau of Investigation (CBI), the Central Vigilance Commission (CVC), and the anti-corruption bureaus and vigilance commissions at the state level (Quah, 2003a, p. 66). Similarly, the Philippines has relied on 18 anti-corruption agencies to enforce the many anti-corruption laws since the Integrity Board was formed by President Quirino in May 1950 (Batalla, 2001, p. 47; Oyamada, 2005, pp. 99–101).