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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.

This study aims to investigate whether integrating environmental, social and governance (ESG) practices mediates the relationship between executive incentive compensation and the financial performance of Islamic and conventional banks in the Middle East and North Africa (MENA) region.

This study used multiple regression models to analyze the effectiveness of ESG practices as a mediating variable in explaining the relationship between executive incentive compensation and banks’ financial performance between 2015 and 2021. The sample consisted of 57 Islamic and conventional banks operating in the MENA region, and the data were collected from the Thomson Reuters database (Data Stream).

This research paper showed the positive and significant mediating effect of the ESG practice on Banks’ financial performance. Thus, banks’ financial and stock market profitability is influenced by ESG information disclosure. This finding shows that taking ESG into account improves the relationship between executive incentive compensation and banks’ financial performance.

The results may interest academic researchers, regulators and policymakers and would support stakeholders and decision-makers who wish to discover how executive incentive compensation affects financial performance in banks.

This study contributes to previous literature by studying the mediating effect of ESG practices on the relationship between executive incentive compensation and banks’ financial performance. Indeed, the originality of this research paper is justified by the scarcity of studies and, to the best of the authors’ knowledge, constitutes one of the first attempts to examine this relationship via a mediating variable, i.e. ESG.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.