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The present study provides evidence on export advantages of horticultural commodities based on competitiveness, trade balance and seasonality dimensions.

The study delineated horticultural commodities in terms of comparative advantage, examined temporal shifts in export advantages (mapping) and estimated seasonality. Product mapping was carried out using the Revealed Symmetric Comparative Advantage (RSCA) and Trade Balance Index (TBI). Seasonal advantages were examined through a graphical approach along with the objective tests, namely, modified QS-test (QS), Friedman-test (FT) and using a seasonal dummy.

Cucumbers/gherkins, onions, preserved vegetables, fresh grapes, shelled cashew nuts, guavas, mangoes, and spices emerged as the most favorable horticultural products. India has a strong seasonal advantage in dried onions, cucumber/gherkins, shelled cashew nut, dried capsicum, coriander, cumin, and turmeric. The untapped potential in horticulture can be addressed by handling the trade barriers effectively, particularly the sanitary and phytosanitary issues, affecting the exports. Proper policies must be enacted to facilitate the investment in advanced agricultural technologies and logistics to ensure the desired quality and cost effectiveness.

Commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.

There is no holistic and recent study illustrating the horticulture export advantages covering a large number of commodities in the Indian context. The study would be helpful to the stakeholders for drawing useful policy implications.

The purpose of current study was to investigate the impact of supervisor support on Knowledge Sharing Behavior through psychological well-being, psychological ownership, and Alturism. The study also took mindfulness as first path moderator in the relation to supervisor support and psychological well-being, and psychological ownership.

Positivism research philosophy followed by the deductive approach is followed to meet the objectives of the current study. A total of 219 employees from the telecom sector were identified as the respondents of the study. A purposive sampling technique was used to collect the data through self-administrated questionnaires. Exploratory and confirmatory factor analyses were used through AMOS to generate the results and test hypotheses.

The results suggested that supervisor support significantly contributes to the achievement of the knowledge-sharing behavior of employees with the chain of mediation, i.e. psychological well-being, ownership and altruism. Similarly, the moderating role of mindfulness is significant in the relationship between supervisor support and psychological well-being.

Although a number of researchers have studied the link between supervisor support and other employees related attitudinal and behavioral outcomes, few have explored the roles of psychological ownership, well-being and altruism in the relationship of knowledge sharing behavior. This study thus posits a novel sequential mediation and moderation mechanism, based on the social exchange theory, through which supervisor support is translated into knowledge sharing behavior.

This study aims to identify the impact of commercial issues (CIs), financial issues (FIs) and corporate affairs (CAs) on operational excellence (OE) of the mining industry.

A purposive sample of size 321 was collected from Indian mining executives with more than ten years of exposure to the mining field. Factors are identified and confirmed with the use of confirmatory factor analysis. The structural equation modeling technique was then applied to understand the unique as well as the complex relationships between FI, CI, CA and OE.

The results indicate that all three issues, CI, FI and CA, have an influence on OE in the Indian mining industry. Among the variables of the issues considered in this study, marketing products and size and quality of products (from CI); scale of economies (from FI); risk management (from CA); and transportation and machine operation (from OE) are the highest influencing variables.

This study has its limitations in sampling, the timing of sample collection and their mode. The samples were collected from only massively deposited large mines.

Business managers of the mining industry will be more vigilant and aware of those indirect variables such as marketing products, size and quality of products, scale of economies and risk management, which can influence OE apart from major influencing variables such as transportation and machine operations and production scheduling.

To the best of the authors’ knowledge, this is the first study in the mining industry to evaluate the impact of these three issues on OE. The originality of this research lies in testing the CI, FI and CA of the mining industry with OE, which is completely new to this field.