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The authors examine the industrywise investment preferences of foreign portfolio investors (FPIs), domestic institutional investors (DIIs) and retail investors in the Indian context. They also investigate the factors influencing their preferences.

Using the quarterly shareholdings and returns data of the Indian market from March 31, 2009 to March 31, 2018, the authors employ analysis of variance to study investors' preferences and a random effect panel data model to examine the factors that influence these preferences.

FPIs hold proportionally more stocks in service-oriented industries and large-cap firms, DIIs hold proportionally large numbers of shares in paper industries and retail investors hold proportionally more shares in chemicals and textiles. FPIs prefer stocks with a high export-to-sales ratio and firms registered on a foreign stock market. Domestic investors, especially retail investors, prefer small-cap stocks and firms whose operations require local knowledge. In addition, industry heterogeneity determines investment decisions. Firm-specific and macroeconomic factors that influence investment decisions differ across industries. Finally, government policies and reforms also play a key role in attracting investors.

Policymakers can identify the key variables that influence investment, which can help direct and regulate investment in India and similar emerging markets.

This study fills a research gap by addressing how industry-level heterogeneity affects investors' preferences in terms of the industrywise preferences of different types of investors and the factors that influence their preferences.

The study aims to examine the patterns of time allocated to paid employment activities by women in India as well as change in time allocating pattern of women over the period 1998 to 2019. In doing so, it attempts to highlight gender-asymmetry of time use and heterogeneity in time use of women residing in urban and rural areas as well as variations in time use by marital status, motherhood and age.

Using unit-level data from two available Time Use Surveys (TUS) namely the Pilot Survey TUS 1998 and first nationally representative TUS 2019, the authors use Tobit model to estimate determinants of women’s time in employment. To explain the change in time spent on paid work by women over the two decades, the authors use counterfactual quantile regression decomposition.

The gender asymmetry in time allocation is stark, with women spending one fifth time compared to men paid employment activities. Over the two decades of interest, women’s time spent on employment activities in a day has reduced by half from around 4 h to 2 h, largely driven by rural women’s time. Regression results suggest the emergence of a “U-shaped” relationship between time spent on paid work and education of women. The counterfactual decomposition results suggest that women are spending lesser time on employment activities in 2019 than in 1998 across the time distribution.

This paper contributes to a novel understanding of time use by women in a developing country by analysing the changes in time use over two decades as well as distributional sensitivity to observed characteristics. The study informs about the intensive margins of female employment by incorporating dynamics of socio-economic development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2022-0164.

This study aims to investigate the moderating effect of market characteristics on the relationship between innovation capabilities and export performance of Indian pharmaceutical firms.

The authors test the hypotheses using generalized least square estimator with random effects, on a panel data set, for the period 2010–2016.

Analyses of the data show that innovation capabilities lead to superior export performance. R&D investment positively affects export performance of both developing and developed countries, whereas patent quality negatively affects the export performance of developed countries and has no significance in developing countries. Size of the firm has significant positive effect on its export performance.

This study explores the role of market characteristics in determining the relationship between innovation and export performance, which has mostly been ignored in extant literature, especially in the context of emerging market multinationals.

Understanding of quick commerce (q-commerce) and its relevance in modern retail.

Analysis of market entry strategies and competitive landscapes.

Insights into operational challenges and solutions in rapid delivery services.

Exploration of consumer behavior shifts and business adaptation in response to global events.

The case examines Zepto’s innovative approach in the quick commerce sector, emphasizing its strategies, challenges and the impact of the pandemic on its operations and growth.

This case study is suitable for undergraduate-level students, particularly in courses related to business management, e-commerce, marketing and supply chain management.

Teaching notes are available for educators only.

CSS 11: Strategy.