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The purpose of this paper is to discuss and evaluate the Indian legal system with regard to prosecution of persons involved in insider trading.

The project follows an analytical and deductive methodology. The theoretical information was gathered from books and the internet. The assimilated information was analyzed on the basis of which conclusions were drawn. The sources for the research have been mentioned in the relevant footnotes when used.

Although Indian law has relevant provisions to deal with insider trading, it is not effective enough to curb this white‐collar crime. The criminal remedies are not implemented because of the lengthy formalities and the requirement of proving it “beyond all reasonable doubt”. The civil penalties, even though invoked, are not enough to act as a deterrent and face several lacunae. These shortcomings have been addressed in the papers with relevant recommendations to the law making body – the Securities and Exchange Board of India (SEBI).

A field study would have been desirable to bring out some of the problems from direct sources like officials and employees of the SEBI. However, this proposal was limited by the fact that the SEBI does not have an office in the city of Jodhpur and hence the information has been gathered from sources, such as books and the internet.

The paper will be of value to foreign investing institutions looking to invest funds in Indian stock markets, to the regulating agencies such as SEBI, law making agencies and experts in the field of corporate law.

Outlines the natural features of Mizoram ‐ climate, flora, fauna. Describes the cultivation systems employed and the problems generated ‐ erosion, burning, harm to indigenous plants and animals. Concludes by addressing the need to protect and conserve the natural forests and wild life.

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge.

Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks.

The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management.

The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented.

The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process.

The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.

Adopting the circular economy (CE) notion in the supply chain perspective is necessary for the sustainability viewpoint. However, such practices are deficient, especially in developing countries like India, because of several obstacles. The purpose of this study was to create an approach for circular supply chain management (CSCM) adaption in Indian rubber industries by identifying and evaluating its associated obstacles.

A hybrid approach of analytic hierarchy process (AHP) and the grey-based ELECTRE method had been employed in this research to obtain the mutual rankings of the identified obstacles based on their impressions on the CSCM prosperity criteria through a case study and involving diverse expert's opinions.

Presented study's findings illustrate that “Lack of consumer knowledge and consciousness towards environmental sustainability” was found to be the top-ranked obstacle followed by “Unwillingness towards supply chain re-structuring”.

The obstacles' prioritized rankings could help leaders to create sequential strategies for adapting a resilient CSCM structure by systematically eliminating these obstacles. Moreover, the pinpointed critical obstacles could be investigated further in separate studies and generate future studies' scope.

During the extensive literature survey, it had been found that the CSCM practices are in the fledgling stage in the developing country's context. Moreover, studies related to CSCM adaption in rubber-based manufacturing industries were much lacking. Presented work is peculiar, aiming to accelerate the CSCM adaption in the industrial rubber sector in developing countries like India.