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The purpose of this paper is to compare two corruption scandals in Singapore to illustrate how its government has dealt with these scandals and to discuss the implications for its anti-corruption strategy.

This paper analyses the Teh Cheang Wan and Edwin Yeo scandals by relying on published official and press reports.

Both scandals resulted in adverse consequences for the offenders. Teh committed suicide on 14 December 1986 before he could be prosecuted for his bribery offences. Yeo was found guilty of criminal breach of trust and forgery and sentenced to 10 years' imprisonment. The Commission of Inquiry found that the Corrupt Practices Investigation Bureau (CPIB) was thorough in its investigations which confirmed that only Teh and no other minister or public official were implicated in the bribery offences. The Independent Review Panel appointed by the Prime Minister's Office to review the CPIB's internal controls following Yeo's offences recommended improvements to strengthen the CPIB's financial procedures and audit system. Singapore has succeeded in minimising corruption because its government did not cover-up the scandals but punished the guilty offenders and introduced measures to prevent their recurrence.

This paper will be useful for scholars, policymakers and anti-corruption practitioners interested in Singapore's anti-corruption strategy and how its government handles corruption scandals.

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.

This paper analyses the role of Lee Kuan Yew, Singapore’s first prime minister from June 1959 to November 1990, in minimising corruption by implementing a zero-tolerance policy toward corruption in Singapore.

This paper is based on the analysis of Lee’s beliefs and the policies he introduced to curb corruption in Singapore.

Lee’s disdain for corruption and his beliefs in meritocracy and the importance of good leadership shaped his commitment to a zero-tolerance policy against corruption, which was enforced impartially and sustained in Singapore for the past 62 years.

This analysis of how Lee transformed Singapore into one of the least corrupt countries in the world would be of interest to policy-makers, practitioners and scholars concerned with minimising corruption in their own countries.

Drawing on information processing theory, the linkage between buffering and bridging and the ability on the part of procurement to resolve demand–supply imbalances is investigated, as well as contexts in which these strategies may be particularly useful or detrimental. Buffering may be achieved through demand change or redundancy, while bridging may be achieved by the means of collaboration or monitoring.

This study employs a hierarchical regression analysis of a survey of 150 Finnish and Swedish procurement and sales and operations planning professionals, each responding from the perspective of their own area of supply responsibility.

Both the demand change and redundancy varieties of buffering are associated with procurement's ability to resolve demand–supply imbalances without delivery disruptions, but not with cost-efficient resolution. Bridging is associated with the cost-efficient resolution of imbalances: while collaboration offers benefits, monitoring seems to make things worse. Dynamism diminishes, while the co-management of procurement in S&OP improves procurement's ability to resolve demand–supply imbalances. The most potent strategy for tackling problematic contexts appears to be buffering via demand change.

The results highlight the importance of procurement in the S&OP process and suggest tactical measures that can be taken to resolve and reduce the effects of supply and demand imbalances.

The results contribute to the procurement and S&OP literature by increasing knowledge regarding the role and integration of procurement to the crucial process of balancing demand and supply operations.