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Digital healthcare manages to grab considerable attention from people and practitioners to avoid severity and provide quick access to healthcare. Entrepreneurs also adopt the digital healthcare segment as an opportunity; nevertheless, their intentions to participate and encourage innovation in this growing sector are unexplored. Drawing upon the social capital theory and health belief model, the study examines the factors that drive entrepreneurship. A novel model is proposed to comprehend entrepreneurial intentions and behavior entrenched in social capital and other encouraging and dissuading perceptive elements with the moderation of trust in digitalization and entrepreneurial efficacy.

The cross-sectional method is used to collect data through a questionnaire from experienced respondents in China. The valid data comprises 280 respondents, analyzed by partial least square structural equation modeling.

Social capital significantly influences monetary attitude, and perceived risk and holds an inconsequential association with perceived usefulness, whereas monetary attitude and perceived usefulness meaningfully explain entrepreneurial activities. Perceived risk has a trivial impact on entrepreneurial intention. Entrepreneurial efficacy and trust in digitalization significantly explain entrepreneurial behavior and moderate the positive relationship between intention and behavior.

The present research proposes a novel research model in the context of entrepreneurship rooted in a digitalized world and offering new correlates. It provides valuable insights by exploring entrepreneurial motivation and deterring factors to get involved in startup activities entrenched in social capital, providing guidelines for policymakers and practitioners to promote entrepreneurship.

This paper aims to investigate the economic, political or sociocultural determinants of corruption in Tunisia.

To better understand the main determinants of corruption in Tunisia. This study uses The Bayesian Model Averaging (BMA) model, which allows us to include a large number of explanatory variables and for a shorter period.

The results show that economic freedom is the most important variable of corruption in Tunisia. In second place comes the subsidies granted by the government, which is one of the best shelters of corruption in Tunisia through their use for purposes different from those already allocated to them. Third, this paper finds the high unemployment rate, which, in turn, is getting worse even nowadays. The other three factors considered as causal but of lesser importance are public expenditures, the human development index (HDI) and education. Education, the HDI and the unemployment rate are all socio-economic factors that promote corruption.

The realization of this study will lead to triple net contributions. The first is to introduce explicitly and simultaneously political, social and economic determinants of corruption in developing countries. Second, unlike previous studies based on the simple and generalized regression model, the present research uses another novel and highly developed estimation method. More precisely, this study uses the BMA model, on the set of annual data for a period of 1998–2018. The third contribution of this research resides in the choice of the sample.

Crimes and conflicts are seriously undermining African development. The purpose of this paper is to assess the best governance tools in the fight against the scourges.

The authors assess a sample of 38 African countries. Owing to the cross-sectional structure of the data set, the authors adopt a heteroscedasticity consistent ordinary least squares estimation technique. For further robustness purposes, the authors employ Ramsey’s regression equation specification error test.

The following findings are established. First, democracy, autocracy and voice and accountability have no significant negative correlations with crime. Second, the increasing relevance of government quality in the fight is as follows: regulation quality, government effectiveness, political stability, rule of law and corruption-control. Third, corruption-control is the most effective mechanism in fighting crime (conflicts).

The findings are significantly strong when controlling for age dependency, number of police (and security) officers, per capita economic prosperity, educational level and population density. Justifications for the edge of corruption-control (as the most effective governance tool) and policy implications are discussed.

The study is timely given the political instability, wars and conflicts currently marring African development.

The above quotations highlight the adverse consequences of corruption in many countries around the world today. Indeed, the research taboo on corruption, which Gunnar Myrdal identified in 1968, no longer exists, and the silence on the “C” word (corruption) in the World Bank was broken by James Wolfensohn in his famous October 1996 speech, which focused on the negative consequences of the “cancer of corruption” on the World Bank's aid programs.