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This study aims to delve into the impact of the Pradhan Mantri Jan Arogya Yojana (PMJAY) on the well-being and quality of life of beneficiaries in Surat City of India. Employing correlation and regression analyses, the study uncovers significant correlations between Awareness, Healthcare Utilisation, and Financial Burden Reduction with well-being outcomes.

The investigation employs a structured questionnaire to gather data from 250 beneficiaries, exploring the relationships between Awareness, Healthcare Utilisation, Financial Burden Reduction, Well-Being and quality of Life. The data was collected using a structured questionnaire using a survey method.

The results highlighted the crucial role of Awareness in empowering beneficiaries to make informed healthcare decisions, positively influencing their well-being. Furthermore, the study underscores how active engagement with PMJAY's healthcare services enhances well-being. The mitigation of financial burdens emerges as a pivotal factor, signifying the program's efficacy in improving beneficiaries' quality of life.

The comprehensive model presented in this study reveals that PMJAY's multifaceted approach is pivotal in promoting enhanced well-being and quality of life among beneficiaries. These findings affect public health policies seeking to create holistic interventions that holistically address vulnerable populations' healthcare access, financial burdens, and overall well-being.

This paper aims to analyze the agile manufacturing practices in small and medium enterprises (SMEs) within the auto-ancillary sector spread across eastern India. Using statistical method, a number of crucial insights have been captured and discussed in detail.

A structural equation model (SEM) encapsulating pertinent agile manufacturing attributes and enablers as the focal construct is conceptualized and validated in this research. The SEM model is evolved in a manner that agile attributes and agile enablers are modeled as latent dependent and manifest variable, respectively.

A number of key hypothesis entailing interactions of key agility enablers, i.e. manufacturing responsiveness agility, manufacturing strategy agility, workforce agility, technology agility, manufacturing management agility, etc. are conceptualized and validated.

The authors specifically focus on evolving agile manufacturing framework (characterized by agility enablers and attributes) that lies at the intersection of SMEs, automotive sector and an emerging economy.

The purpose of this paper is to examine the impact of intellectual capital (IC) on Indian traditional sector and compare the relative importance of IC on corporate performance of Indian knowledge-based sector (engineering sector) and traditional sector (steel sector).

Secondary data on 100 listed Indian firms, comprising of 44 firms from the engineering sector and 56 from the steel sector, are collected from “Capitaline Plus” Corporate database for a period of 14 years from 1999-2000 to 2012-2013. IC and its components are computed using Pulic’s value-added intellectual coefficient model and firm performance is measured by return on asset. Fixed effect regression model is used to investigate the hypothetical relationship between IC and firm performance. Further, quantile regression is used to check the robustness of the results.

The results indicate that IC efficiency and physical capital efficiency are positively and significantly associated with the firm performance for both the sectors. Regarding the components of IC, the coefficient of human capital efficiency is positive and significant, but the present effort fails to disentangle any significant influence of structural capital efficiency on firm performance. However, the results indicate that the influence of IC efficiency on firm performance is significantly greater in case of knowledge-based sector than that of traditional sector.

The findings of the study are useful for the decision makers, as the results indicate that the IC plays crucial role in value creation not only for knowledge-based firms but also for the firms belonging to the traditional manufacturing sector.

In the Indian context, this is the first study to examine the relative importance of IC in a knowledge-based sector and a traditional sector using appropriate methodology.

This paper aims to address the need to modify the existing intellectual capital (IC) disclosure frameworks and examines the disclosure practices of Indian knowledge-based companies by using a comprehensive IC disclosure index that has been developed in this study.

The annual reports of 30 listed knowledge-intensive companies from two sectors – pharmaceutical sector and engineering sector – have been analysed for a period of five years from 2010-2011 to 2014-2015. Additionally, the sample firms were ranked on the basis of market capitalisation (MC) to examine the IC reporting practice of firms with high and low MC. An IC disclosure index has been developed through comparative analysis of the frameworks used in three studies that is based on Bukh et al.’s (2001) classification. Further, the study has also considered intangibles and the related non-financial indicators of MERITUM guidelines. The disclosure index consists of a total of 69 items encompassing six components.

The overall IC disclosure trend showed an increase in reporting practice over the five-year study period. With respect to the components, process capital is found to be the most disclosed component while relational capital is the least disclosed component. After categorisation of firms into high and low MC, it has been observed that the IC disclosure scores of firms with high MC are significantly higher than firms with low MC.

This paper has developed an IC disclosure index through careful analysis and scrutiny of the existing frameworks which contributes to the existing literature. Likewise, the use of a comprehensive framework can aid the investors to know the true value of the firm and make proper market decisions.

This is the first paper in the Indian context in which a modified IC disclosure index is framed based on Bukh et al. (2001) framework for examining IC reporting practices.

Typically, the budgetary requirements for executing a supplier’s process quality improvement program are often done in unstructured ways in that quality improvement managers purely use their previous experiences and pertinent historical information. In this backdrop, the purpose of this paper is to ascertain the expected cost of carrying out suppliers’ process quality improvement programs that are driven by original equipment manufacturers (OEMs).

Using inputs from experts who had prior experience executing suppliers’ quality improvement programs and employing the Bayesian theory, transition probabilities to various quality levels from an initial quality level are ascertained. Thereafter, the Markov chain concept enables the authors to determine steady-state probabilities. These steady-state probabilities in conjunction with quality level cost coefficients yield the expected cost of quality improvement programs.

The novel method devised in this research is a key contribution of the work. Furthermore, various implications related to experts’ inputs, dynamics related to Markov chain, etc., are discussed. The method is illustrated using a real life of automotive industry in India.

The research contributes to the extant literature in that a new method of determining the expected cost of quality improvement is proposed. Furthermore, the method would be of value to OEMs and suppliers wherein the quality levels at a given time are the function of quality levels in preceding period(s).

Sustainable supply chain (SSC) provides one opportunity to achieve competitive advantage. To achieve SSC through triple bottom line (TBL) – economic, environment and social – is extensively discussed. Most literature in dealing with environmental issues undermine social dimension even though its potential to bring outstanding results by earning customers loyalty and commitment is immense. Local orientation and different context motivate firms to prioritize sustainability dimensions differently. The purpose of this paper is to conceptualize SSC performance as three dimensional second-order formative construct which is caused by three first-order reflective constructs. Further, the authors examined effect of sustainable performance on barriers to sustainability through collaboration.

The model is validated by data collected from industries in India using both partial least squares and covariance based structural equation modeling. The authors find the model is valid for both manufacturing and service sectors.

In Indian context, social dimension is most and environmental dimension is least important differentiating it from developed economy. The authors find sustainable performance subsequently mitigates barriers and risks to sustainability, thereby reducing its impact over time.

This study conceptualizes SSC performance as three dimensional second-order formative construct which is caused by three first-order reflective constructs. Given criticisms to TBL for being western-centric, this study unearths insightful phenomena having implications for both developing and developed world. Further, the authors find sustainable performance reduces effects of barriers to collaboration necessary to achieve SSC. This study contributes to both theory and practice by modeling sustainability performance.

Drawing on the relational view and contingency theories, this study explores supply chain relationship conditions' roles in interrelationships between environmental, social and supply chain performance (SCP), i.e. triple bottom line (TBL).

The data from industries and structural equation modeling (SEM) were used to validate the proposed model. Interviews with industry experts were conducted to further understand the findings.

The authors find that relationship conditions, such as inventory information sharing, dependency, opportunistic behavior and conflicts, moderate TBL linkages. Interestingly, power asymmetry does not moderate the linkages. Social performance mediates between environmental and SCP. This indirect effect is stronger than the effect of environmental performance on SCP.

This research is perhaps the first to bring a much-needed nuanced view on the importance of relationship conditions for TBL performance linkages. The research further underlines the importance of social performance in an emerging economy.

The coronavirus (COVID-19) is the worst pandemic in recent memory in terms of its economic and social impacts. Deadly second wave of COVID-19 in India shook the country and reshaped the ways organizations functions and societies behave. Medical infrastructure was unaffordable and unsupportive which created high distress in the Indian society, especially for poor. At this juncture, some pharmaceutical firms made a unique social investment when they reduced price of drugs used to treat COVID-19 patients. This study aims to examine how the market and the society respond to the price reduction announcement during the psychological distress of COVID-19.

Market reactions have been analyzed by conducting an event study on stock market data and visual analytics-based sentiment analysis on Twitter data.

Overall, this study finds positive abnormal returns on the day and around the day of event. Interestingly, this study finds that returns during the time of high distress are significantly higher. Sentiment analysis conveys that net sentiment is favorable to the pharmaceutical firms around the day of event and it sustains more during the time of high distress.

This study is unique in contributing to the business and industrial management literature by highlighting market reactions to social responsibility of business during the time of psychological distress in emerging economies.

This paper attempts to understand how the interaction of natural disasters and human behaviour during wartime led to famines in three regions under imperial control around the Indian Ocean. The socio-economic structure of these regions had been increasingly differentiated over the period of imperial rule, with large proportions of their populations relying on agricultural labour for their subsistence.

Before the war, food crises in each of the regions had been met by the private importation of grain from national or overseas surplus regions: the grain had been made available through a range of systems, the most complex of which was the Bengal Famine Code in which the able-bodied had to work before receiving money to buy food in the market.

During the Second World War, the loss of control of normal sources of imported grain, the destruction of shipping in the Indian Ocean (by both sides) and the military demands on internal transport systems prevented the use of traditional famine responses when natural events affected grain supply in each of the regions. These circumstances drew the governments into attempts to control their own grain markets.

The food crises raised complex ethical and practical issues for the governments charged with their solution. The most significant of these was that the British Government could have attempted to ship wheat to Bengal but, having lost naval control of the Indian Ocean in 1942 and needing warships in the Atlantic and Mediterranean in 1943 chose to ignore the needs of the people of Bengal, focussing instead on winning the war.

In each of the regions governments allowed/encouraged the balkanisation of the grain supply – at times down to the sub-district level – which at times served to produce waste and corruption, and opened the way for black markets as various groups (inside and outside government ranks) manipulated the local supply.

People were affected in different ways by the changes brought about by the war: some benefitted if their role was important to the war-effort; others suffered. The effect of this was multiplied by the way each government ‘solved’ its financial problems by – in essence – printing money.

Because of the natural events of the period, there would have been food crises in these regions without World War II, but decisions made in the light of wartime exigencies and opportunities turned crises into famines, causing the loss of millions of lives.