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Malaysia and Singapore had parted more than five decades ago. Much of the existing literature concerned about the bilateral ties between two economies focusing on the political economy perspective. This paper aims to provide insights on the economic development and prospects of Malaysia and Singapore at the national level. In addition, this paper also makes a pioneering attempt at conducting a comprehensive comparative analysis between Malaysia and Singapore at the city level.

This paper offers a case study of Malaysia and Singapore by assessing their national economic competitiveness, urban standards of living and quality of life. The paper leverages on a series of indices such as the competitiveness index for ASEAN-10, the cost of living, wages and purchasing power of ordinary residents, as well as the liveable cities index to perform the analysis.

In terms of national competitiveness, the analysis shows that Singapore and Malaysia have been leading the ASEAN region from 2000 onwards, being the top- and second-ranked, respectively. Malaysia still lags Singapore in several aspects such as attractiveness to foreign investors and standard of living, education and social stability despite insignificant differences in the ranking. City-level analysis shows that the cost of living in Singapore is almost double of that in Kuala Lumpur, although living in Singapore is more affordable owing to the higher wage rate received by the ordinary citizens.

This paper contributes to the literature in several ways. First, this paper assesses economic development in Singapore and Malaysia instead of focusing on cross-straits relations. Second, the study reflects the view that the improvement of standards of living and quality of life for ordinary residents is paramount to economic development. The competitiveness index and city-level benchmarks used in the paper reflect the standards of living and the quality-of-life dimensions. Third, the focus on city-level analysis in addition to conventional national-level analysis helps to provide policymakers with practical policy implications against the backdrop of rapid urbanisation.

The evolution of modern digitalization technologies necessitates the development of a competitive digital supply chain quality management (SCQM) strategy by manufacturers. Using the new institutions and institutional theory (IIT), the study research first aims to identify the most important SCQM practices that can influence competitive performance (CP). Second, the authors intend to investigate the role of digital strategy alignment (DSA) in moderating the relationship between the multidimensionality of SCQM practices and CP among manufacturers.

The authors employ the Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique to examine 225 valid samples from Malaysian manufacturers who use SCQM practices.

The study findings indicate that five of the twelve hypotheses developed were accepted. This suggests that supplier focus, strategic collaboration, information sharing and customer focus are positively and significantly correlated with CP. Unexpectedly, DSA moderates the relationship between leadership and CP.

This study extended the new IIT by empirically testing the six SCQM practices for CP in a DSA context, which can serve as a model for future research in the SCQM, CP and DS fields.

This research is concerned with youth activism in Singapore historically and the importance of legitimacy for understanding the further development of youth activism and Singapore’s democratization process. It takes into account issues pertaining to good governance, economic performance and democratic participation (legitimacy). The paper aims to discuss this issue.

The research adopts a historical approach, qualitative in nature with some quantitative analysis based on documentary research, press reports and content analysis.

Historically youth activism was vibrant and dynamic in the fight for independence and against inequality and injustice during the colonial era in Singapore. Under Lee Kuan Yew’s rule, the scope and boundary of democratic participation (legitimacy) were delimited and controlled by the state. State-contained or controlled participation has replaced contentious politics. In the Singapore General Election in 2011, the younger generation of Singapore electorate, who are better educated and well-travelled, however, proved themselves to be rational and pragmatic when they exercised their rights to reject polices detrimental to their socio-economic well-beings as well as to the inclusiveness of society. The People’s Action Party (PAP) had the lowest vote share (60 per cent) in history. Since then the PAP government had stepped up its efforts in improving welfare gains of the citizens as well as managing public discontents with more effective policies. The PAP victory in the Singapore election (GE 2015), however, showed that among other reasons, welfare gains and good governance helped in salvaging the electoral legitimacy vis-à-vis the political legitimacy of the PAP government. However, the PAP government’s continual harsh treatment of critics, young and old, means that to achieve democratic legitimacy, it has to break through the shackles of authoritarian leadership style and elite governance, which have led to the regime’s failure to face up to the reality of an emerging civic participatory culture in the Singapore contexts.

Legitimacy is an important concept. To date there is no systematic application of this concept to the study of Singapore electoral politics. This paper employs Bruce Gilley’s determinants of legitimacy – democratic legitimacy, welfare gains and good governance – to explicate the basis of the PAP’s regime legitimacy, the contradictions inherent in state-contained participation and political representation that delimited and undermined the nature, scope and boundary of democratic legitimacy.

The purpose of this paper is to analyze the optimal reinsurance contract structure from the crop insurer's perspective.

A very powerful and flexible empirical‐based reinsurance model is used to analyze the optimal form of the reinsurance treaty. The reinsurance model is calibrated to unique data sets, including private reinsurance experience for Manitoba, and loss cost ratio (LCR) experience for all of Canada, under the assumption of the standard deviation premium principle and conditional tail expectation risk measure.

The Vasicek distribution is found to provide the best statistical fit for the Canadian LCR data, and the empirical reinsurance model stipulates that a layer reinsurance contract structure is optimal, which is consistent with market practice.

While the empirical reinsurance model is able to reproduce the optimal shape of the reinsurance treaty, the model produces some inconsistencies between the implied and observed attachment points. Future research will continue to explore the reinsurance model that will best recover the observed market practice.

Private reinsurance premiums can account for a significant portion of a crop insurer's budget, therefore, this study should be useful for crop insurance companies to achieve efficiencies and improve their risk management.

To the best of the authors' knowledge, this is the first paper to show how a crop insurance firm can optimally select a reinsurance contract structure that minimizes its total risk exposure, considering the total losses retained by the insurer, as well as the reinsurance premium paid to private reinsurers.

This chapter is an up-to-date survey of the state-of-the art in consumer demand analysis. We review (and evaluate) advances in a number of related areas, in the spirit of the recent survey paper by Barnett and Serletis (2008). In doing so, we only deal with consumer choice in a static framework, ignoring a number of important issues, such as, the effects of demographic or other variables that affect demand, welfare comparisons across households (equivalence scales), and the many issues concerning aggregation across consumers.

In this chapter, the authors review emerging literature on multidimensional, information age-related phenomena across different disciplines to derive common themes and topics. The authors then proceed to analyse recent developments in these fields to provide an interdisciplinary overview of the most disruptive challenges for multinational companies (MNCs) competing in the modern information age. These challenges include more efficient peer-to-peer communication between stakeholders, crowd-organisation, globalisation of value chains and the need to organise knowledge resources. The aim of the chapter is not to review all age research, but to identify fundamental uncertainties for MNCs and discuss strategies of tackling such information age phenomena from an international business perspective.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

The purpose of this paper is to analyse and predict the housing prices in Petaling district, Malaysia and its six sub-regions with a set of housing attributes using functional relationship model.

A new multiple unreplicated linear functional relationship model with both the response and explanatory variables are subject to errors is proposed. A total of 41,750 housing transacted records from November 2008 to February 2016 were used in this study. These data were divided into 70% training and 30% testing sets for each of the selected sub-regions. Individual housing price was regressed on nine housing attributes.

The results showed the proposed model has better fitting ability and prediction accuracy as compared to the hedonic model or multiple linear regression. The proposed model achieved at least 20% and 40% of predictions that have less than 5% and 10% deviations from the actual transacted housing prices, respectively. House buyers in these sub-regions showed similar preferences on most of the housing attributes, except for residents in Shah Alam who preferred to stay far away from shopping malls, and leasehold houses in Sri Kembangan are more valuable. From the h-nearest houses indicator, it is concluded that the housing market in Sungai Buloh is the most volatile in Petaling District.

As the data used are the actual housing transaction records in Petaling District, it represents only a segment of Malaysian urban population. The result will not be generalized to the entire Malaysian population.

This study is expected to provide insights to policymakers, property developers and investors to understand the volatility of the housing market and the influence of determinants in different sub-regions. The potential house buyers could also use the model to determine if a house is overpriced.

This study introduces measurement errors into the housing attributes to provide a more reliable analysis tool for the housing market. This study is the first housing research in Malaysia that used a large number of actual housing transaction records. Previous studies relied on small survey samples.

This paper provides a practical framework for managers to develop a sustainable supply chain. Given that rapid globalization has increased supply disruption risk, managers have been forced to establish efficient and responsive supply chain strategies. Nevertheless, diverse uncertainty factors, such as risk perception of strategies, have made practical management difficult. Quantifying managers' risk perceptions and applying them to supply chain strategies allows the authors to propose a structural and practical model for managing supply disruption.

The existing structural model is refined by taking subjective factors into account using the analytic hierarchy process. The applicability of the refined model is demonstrated through a comparative case study.

Managers' risk perceptions vary not only among companies but also between managing divisions within a company, which necessitates possible changes in strategy due to environmental turbulence. The principal component analysis (PCA) characterizes managers' risk perceptions that illustrate companies' emphases on disruption risk.

The proposed approach quantifies risk perception, which enables practitioners to deal with subjective information in quantitative form. Comparative studies clarify differences in perception given different business backgrounds. The results provide managers with in-depth insights for establishing supply chain strategies reflecting their risk perception.

Quantification of managers' subjective risk perception clarifies both the trend and the individual features for uncertainties. The results allow the authors to conduct the PCA, which characterizes companies. Comparative studies generalize the results of extant work, shedding light on cross-sectional differences given different business backgrounds. The effectiveness of the approach is confirmed through retrospective interviews with practitioners.