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We have defined fuzzy bipolar soft sets and basic operations of union, intersection and complementation for fuzzy bipolar soft sets. The algebraic properties of fuzzy bipolar soft sets are discussed. The concept of bipolar fuzzy soft set is also given and the equivalence of both structures is established. An application of fuzzy bipolar soft sets in decision making problems is presented with the help of an example.

We have studied the concept of bipolarity of information in the soft sets. We have defined bipolar soft sets and basic operations of union, intersection and complementation for bipolar soft sets. Examples of bipolar soft sets and an application of bipolar soft sets in a decision making problem with general algorithms have also been presented at the end.

A well performing industrial sector plays an important role in poverty mitigation, unemployment reduction, trade promotion, exchange of goods and services, increased per capital income and GDP growth etc. Numerous studies have investigated the institutional financial performance and their outcomes for emerging states predominantly in perspective of South Asian and African economies. Nonetheless, after global financial crisis and fall of Bretton wood system a new debate was generated to re-examine the issue after implementa-development of South Asian region economies. The study also discussed the models from policy perspective and provides recommendations for the policy makers to improve or redesign favorable policies based on findings.

Coronavirus (COVID-19) has affected life expectancy and disturbed economic growth. In pursuance of a better understanding of the probable economic consequences, the present research evaluates seven diverse scenarios/situations to anticipate the possible progression of COVID-19 using a global hybrid dynamic stochastic general equilibrium (DSGE)-computable general equilibrium (CGE) general equilibrium model and also investigates the macroeconomic outcomes.

The research paper reconnoiters the digital entrepreneurship and its influence on the business setting in developing economies (China India, Brazil, Russia, Mexico, Indonesia, Turkey, Thailand, South Africa and Malaysia). The empirical data was collected through 1,445 semi‐structured interviews with these economies' entrepreneurs. The research outcomes highlighted that entrepreneur's knowledge act as a sensitive social expectation and enhances support, even the non‐contributively factor of institutional trust. Findings demonstrated that administrative initiatives toward digitalization are pledged to consume invigorated entrepreneurship in all emerging economies consequently providing better chances for advancement and prevailing institutions requirements for further development in order to confirm the economic growth and supportable entrepreneurial situation.

Policymakers/researchers have developed a lot of theories and empirics to study issues related to investment policy. The current study investigcates in detail the managerial role in a firm's investment decision. This study is evident that the relationship is more profound for the firms that are large and financially unconstrained and have a strong balance sheet position. For economic constraints, the effect for SO firms is more pertinent than non‐state‐owned (NSO) firms, and the negative effect of competition and recession is decreased by high ability managers. For mitigating the effect of endogeneity and getting robust results, a propensity score matching approach is to be used.