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This paper aims to study the relationship between structure and agency of Indian women executives in the area of work-life balance in a developing and globalized context. It examines social production in a collectivist culture.

The approach is qualitative and interpretative. Semi-structured interviews of 105 senior women executives from major metropolitan cities in India (Delhi, Mumbai, Bangalore, Hyderabad and Chennai) form the rich data for this research. It uses sociological theories of McNay and Bourdieu to discuss the narratives of women executives.

The agency of women executives in India is influenced by cultural meta-narratives of marriage and motherhood. They experience conflict in the home front and less at the work place. Their negotiations with their structures reveal a nuanced agency wherein they try to fit cultural roles and also seek self fulfillment in a career.

First, it includes women executives only from the corporate sector. Second, opinions expressed by women executives alone have been taken for this study and is not cross-validated by opinions of others. This study is also limited to socio-cultural roles and expectations from women executives. Other variables that affect agency are not examined.

This study contributes to the understanding of how women executives, who have a greater agency, negotiate their structural constraints and how these actions contribute to social production.

It studies the societal impact of the agency of women executives in India.

The study provides a theoretical insight into structure and agency of women executives in India and thus adds an Indian perspective to the gender discourse.

The economic value generated by a firm is determined by the efficient management of its resources within a given business environment. The Indian pharmaceutical industry is highly competitive and has attracted huge investments in research and development (R&D), including financing of biotechnological ventures, clinical trials, contract research activities in addition to traditional product development and filing of regulatory requirements. This study aims to identify the specific resources that are significant drivers of performance.

Data analysis uses panel regression based on an extended version of the Cobb-Douglas production function, where the dependent variable firm performance is measured using annual sales whilst the independent variables include labour, capital, R&D investments and marketing efforts. This study uses data spanning a period of 7 years (2012–2018) collected from 151 Indian pharmaceutical firms.

Contrary to the general understanding that R&D investments tend to create profitable opportunities, it is observed that R&D expenditures have a negative impact on sales in the short to medium time period. This study also highlights the finding that in addition to the positive impact of labour and capital, marketing efforts are more likely to have a greater positive influence on firm performance than R&D.

The uniqueness of the paper lies not only in the counterintuitive findings but also in the methodology used to capture the impact of the lagged effect of R&D investments on firm performance. Specifically, a regression model-based both on panel data and time-series averages is used to examine the said impact.

The purpose of this paper is to design an optimal reliability acceptance sampling plan (RASP) using the Type-I generalized hybrid censoring scheme (GHCS) for non-repairable products sold under the general rebate warranty. A cost function approach is proposed for products having Weibull distributed lifetimes incorporating relevant costs.

For Weibull distributed product lifetimes, acceptance criterion introduced by Lieberman and Resnikoff (1955) is derived for Type-I GHCS. A cost function is formulated using expected warranty cost and other relevant cost components incorporating the acceptance criterion. The cost function is optimized following a constrained optimization approach to arrive at the optimum RASP. The constraint ensures that the producer's and the consumer's risks are maintained at agreed-upon levels.

Optimal solution using the above approach is obtained for Type-I GHCS. As a special case of Type-I GHCS, the proposed approach is also used to arrive at the optimal design for Type-I hybrid censoring scheme as shown in Chakrabarty et al. (2019). Observations regarding the change in optimal design and computational times between the two censoring schemes are noted. An extensive simulation study is performed to validate the model for finite sample sizes and the results obtained are found to be in strong agreement. In order to analyze the sensitivity of the optimal solution due to misspecification of parameter values and cost components, a well-designed sensitivity analysis is carried out using a real-life failure data set from Lawless (2003). Interesting observations are made regarding the change in optimal cost due to change in parameter values, the impact of warranty cost in optimal design and change in optimal design due to change in lot sizes.

The research presents an approach for designing optimal RASPs using Type-I generalized hybrid censoring. The study formulates optimum life test sampling plans by minimizing the average aggregate costs involved, which makes it valuable in dealing with real-life problems pertaining to product quality management.

This paper is a literature review on use of artificial intelligence (AI) among agricultural value chain (AVC) actors, and it brings out gaps in research in this area and provides directions for future research.

The authors systematically collected literature from several databases covering 25 years (1994–2020). They classified literature based on AVC actors present in different stages of AVC. The literature was analysed using Nvivo 12 (qualitative software) for descriptive and content analysis.

Fifty percent of the reviewed studies were empirical, and 35% were conceptual. The review showed that AI adoption in AVC could increase agriculture income, enhance competitiveness and reduce cost. Among the AVC stages, AI research related to agricultural processing and consumer sector was very low compared to input, production and quality testing. Most AVC actors widely used deep learning algorithm of artificial neural networks in various aspects such as water resource management, yield prediction, price/demand forecasting, energy efficiency, optimalization of fertilizer/pesticide usage, crop planning, personalized advisement and predicting consumer behaviour.

The authors have considered only AI in the AVC, AI use in any other sector and not related to value chain actors were not included in the study.

Earlier studies focussed on AI use in specific areas and actors in the AVC such as inputs, farming, processing, distribution and so on. There were no studies focussed on the entire AVC and the use of AI. This review has filled that literature gap.

The purpose of this paper is to present an overview of functional properties of the polysaccharide-based component and their application in developing edible film and coating for the food processing sector.

In this review study, approximately 271 research and review articles focusing on studies related to polysaccharide-based components and their film-forming properties. This article also focused on the application of polysaccharide-based edible film in the food sector.

From the literature reviewed, polysaccharide components and components-based edible film/coating is the biodegradable and eco-friendly packaging of the materials and directly consumed by the consumer with food. It has been reported that the polysaccharide components have excellent properties such as being nontoxic, antioxidant, antimicrobial, antifungal and with good nutrients. The polysaccharide-based edible film has lipid and gas barrier properties with excellent transparency and mechanical strength. In various studies, researchers worked on the development of polysaccharide-based edible film and coating by incorporating plant based natural antioxidants. This was primarily done for obtaining improved physical and chemical properties of the edible film and coating. In future, the technology of developing polysaccharide-based edible film and coating could be used for extending the shelf life and preserving the quality of fruits and vegetables at a commercial level. There is more need to understand the role of edible packaging and sustainability in the food and environment sector.

Through this review paper, possible applications of polysaccharide-based components and their function property in the formation of the edible film and their effect on fruits, vegetables and other food products are discussed after detailed studies of literature from thesis and journal article.