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The global economy has entered what appears to be a very serious financial crisis for reasons other than force majeure. While the current focus has to be on preventing a repeat of the Great Depression, efforts must also be made to understand why the crisis came about in the first place. The objective of this paper is to demonstrate that the regulators should have known what the risks were and that these risks were large and systemic, and should have concluded that actions were required to prevent a serious global crisis.

The article analyzes the developments in the US mortgage market to assess whether the chances of a crisis in the period before the crisis could have been assessed to be too remote to warrant concern.

The evidence seems quite clear that, given the assessments of potential consequences of previous episodes in which concerted actions had to be taken to prevent the collapse of the global financial system, the regulators of the US economy should have taken steps long before the onslaught of chains of collapse of financial institutions that began in the summer of 2007.

It is hoped that analysis such as this will lead to improvement of regulations of financial markets, reducing chances of future crises of such proportions.

This paper aims to assess the equilibrium house price in the city of Suva (Fiji) and to analyse the house price bubble in the Fiji housing market.

This paper adopts a time series approach to determine the presence of house price bubbles in Fiji over the period from 1988 to 2018.

The findings suggest that real income, land cost, building material price, inflation rate, volatility, household size and wealth have a positive impact on house prices, whereas user cost of capital and political disturbances have a negative impact. The findings further indicate that the Fijis’ housing market does not constitute any house price bubble.

This paper draws policy implications for a small developing state (Fiji) and other similar economies.

The price bubble in the Fiji housing market is analysed for the first time. This paper develops a comprehensive empirical approach to assess the equilibrium-housing price in Fiji.

The potential for the adoption of a knowledge management system (KMS) is becoming a crucial matter in small and medium enterprises (SMEs); however, there is a scarcity of studies related to KMS adoption in SMEs. Therefore, the purpose of this paper is to advance further our understanding of the factors that influence the KMS adoption process among SMEs.

The collected sample size was 247 respondents. For statistical analysis, Smart partial least square (PLS) (a structural model-based tool) was used to build, run and validate the process model. PLS regression techniques were used to analyze the latent constructs. Smart PLS exhibits both the measurement model and the structural model.

The results indicate that knowledge management capabilities, knowledge sharing, organizational learning capabilities and IT capabilities are the significant factors which influence KMS adoption. This study also identifies some unexpected results.

The number of responses obtained from the survey was rather small. However, a larger number of responses would probably have resulted in a more accurate finding. Additionally, this study should be verified via a larger sample to increase its generalization.

The result of this study will provide SMEs with valuable guidelines to better understand what factors should be considered as highly important and thus providing decision makers and managers with valuable insights to increase the adoption level of KMSs.

The study addresses the research gap by developing and empirically validating a research model of KMS adoption from a different perspective that incorporates critical issues which have never been simultaneously examined.

Health care service is a widely researched area. Several established models and instruments measuring health care service quality (HCSQ) are available in the published academic literature. The objective of this article is to summarize this vast pool of available knowledge under the themes of HCSQ, its determinants and measurement strategies.

Sixty-three available published studies in peer reviewed journal combed in EBSCO and Google Scholar database have been examined and presented in exemplary literature review.

The findings have been segregated under the themes of HCSQ, its dimensions and determinants. It can be deduced from the findings that in spite of health care being a professional service, the user defined service quality takes center stage.

Rather than the seeker of care, the authors call for further research by taking a dyadic view of professional exchanges and including providers' perspectives of care in service quality evaluations as well.

This study integrates the providers' perspective as well as the patient's perspective in developing and validating a scale to measure hospital service quality in multispecialty hospitals.

An exploratory sequential mixed-method approach was used in this study. The strategies used included a thematic literature review, semi-structured interviews, modified Delphi and confirmatory factor analysis.

The reliability coefficient of 41 item scale was 0.963 with each attribute, that is, pivotal, core and peripheral, having a Cronbach's alpha of 0.907, 0.91 and 0.891, with scale content validity (S-CVI Ave) of 0.9151. The composite reliability scores of all constructs were greater than 0.7, with an Average Variance Explained (AVE) of all items greater than 0.5.

The instrument can be used to measure the difference between what service providers believe customers expect and customers’ actual needs and expectations. The scale can be used to measure the difference between what is delivered (as perceived by the provider) and what customers perceive they have received (because they are unable to accurately evaluate service quality). The dyadic approach of administering this questionnaire in measuring hospital service quality will lead to the identification of a knowledge gap and a perception gap in delivering hospital service quality.