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The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance (profit).

Primary data were collected from dairy entrepreneurs in India, covering nine states. A multinomial treatment effect model (controlling for selection bias and endogeneity) was used to evaluate the impact of the choice of the value chain on entrepreneurs' profit.

Dairy entrepreneurs operating in any recognized value chain other than the value chain driven by the consumer household realize a comparatively lesser profit. Dairy farmers have established direct linkages with customers in urban areas – who could pay premium prices for safe and quality milk. Food safety compliance is positively associated with profit and entrepreneurs (who have undergone formal training in dairying) preferred partnerships with a formal value chain. The prospects of starting a dairy enterprise are slightly higher in villages compared to urban areas.

Dairy entrepreneurs can make a shift in accordance with the study's findings and boost their profitability. It aids in comprehending how trainees (who obtained advice and training for raising dairy animals from R&D organizations) and non-trainee dairy farmers make value chain selections, which ultimately affect profitability. However, purposive sampling and a small sample size limit the universal implications of the study.

Developing entrepreneurial behavior and startup culture is at the center of policymaking in India. The findings imply that the emerging value chain not only enhances the profit of dairy farmers by resolving consumer concerns about food safety and the quality of milk and milk products but also builds consumer trust.

This paper offers insight into how the benefits of dairy entrepreneurs vary with their participation in the different value chains. The impact of skill development/training programs on value chain selection and farm profitability has not yet been fully understood. Here is an attempt to fill this gap. This paper through light on how trained and educated dairy entrepreneurs are able to establish a territorial market by approaching premium customers – this is an addition to the existing literature.

This study tests the impact of family control on information technology (IT) investment and IT adoption in MSMEs in India.

This study employs a survey research design. Micro, small, and medium enterprise (MSME) owners in India were surveyed to test the impact of family control on IT investment and IT adoption.

Our empirical results show that family control — measured by family ownership, family member firm management, and/or family CEO duality — increases IT investment and IT adoption in India. Family ownership increases the chances of IT investment and IT adoption by 19.24% and 38.40%, respectively. Firm management by family members increases the chances of IT investment and IT adoption by 11.29% and 18.29%, respectively. CEO duality increases the chances of IT investment and IT adoption by 51.13% and 258%, respectively. Thus, CEO duality has a higher impact on IT investment and IT adoption than family ownership and firm management by family members.

The empirical results may be generalized only to MSMEs similar to those surveyed in this study. Additionally, this study relied on the perceptions and judgments of MSME owners.

This study contributes to the literature on the impact of family control on IT investment and IT adoption in the developing economics. This study can help scholars to develop further studies in the family control area. Our findings may help MSME owners to increase family control to survive and prosper into the future. Additionally, MSME management consultants may find the empirical results useful to provide consulting services.

India is one of those countries that are severely affected by the COVID-19 pandemic. With the upsurge in the cases, the country recorded high unemployment rates, economic uncertainties and slugging growth rates. This adversely affected the real estate sector in India. As the relation of the housing market with the gross domestic product is quite lasting thus, the decline in housing prices has severely impacted the economic growth of the nation. Hence, the purpose of this paper is to gauge the asymmetric impact of COVID-19 shocks on housing prices in India.

Studies revealed the symmetric impact of macroeconomic variables, and contingencies on housing prices dominate the literature. However, the assumption of linearity fails to apprehend the asymmetric dynamics of the housing sector. Thus, the author uses a nonlinear autoregressive distributed lag model to address this limitation and test the existence of short- and long-run asymmetry.

The findings revealed the long- and short-run asymmetric impact of the COVID-19 outbreak and the peak of the COVID-19 on housing prices. The results indicate that the peak of COVID-19 had a greater impact on housing prices in comparison to the outbreak of COVID-19. This can be explained as prices will revert to normal at a speed of 0.978% with the decline in the number of COVID-19 cases. Whereas the housing prices rise at a rate of 0.714 as a result of government intervention to deal with the ill effects of the COVID-19 outbreak. Moreover, it can be inferred that both the outbreak and peak of COVID-19 will lead to a minimal decline in housing prices, while with the decline in the number of cases and reduction in the impact of the outbreak of COVID, the housing prices will rise at an increasing rate.

To the best of the authors’ knowledge, this is the first study to understand the impact of the outbreak and peak of COVID-19 on the housing prices separately.

The purpose of this paper is to explore green packaging from the process dimension. Specifically, it focuses on understanding the behavior of costs associated with installing green packaging infrastructure.

The study used system dynamics to design the model. The model was tested on three industries employed in manufacturing glass bottles to generalize the result.

The study concludes that cost of remanufacturing which initially is higher because of recollection phases and reverse logistics costs eventually becomes lower than new manufacturing as soon as system achieves stability and continues to follow the same trend over the period of time.

The study put forwards an explanation to the concerns of manufacturers who were unwilling to install green packaging or remanufacturing infrastructure into their operations because of several cost- and risk-related dilemmas.

The study extends the academic literature by answering the queries raised by Kassaye and Holloway (2015).