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The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.

This paper aims to investigate the intersection between crowdfunding (CF), open innovation (OI) and responsible innovation (RI) and identify the emerging trends and gaps in research and new paths for CF research in the future. In addition, this paper proposes a conceptual framework and propositions.

This paper is structured in line with the systematic literature review protocol. After reading all the titles, keywords and abstracts, 172 papers focused on OI and RI were selected for this research. Finally, 27 papers that are based on dimensions related to responsible OI were selected for the study.

Due to CF's multidisciplinary nature, the scientific literature on the role of CF in endorsing responsible OI for shared value co-creation appears fragmented and redundant. Several emerging trends and gaps of research and new paths for CF research in the future arise regarding research methodology and theoretical perspective.

To the best of the authors' knowledge, this is the first study investigating the intersection between CF OI and RI.

The study investigates the impact of the interaction effect of product market competition and rollover risk on the default risk of the firms.

The study used the sample of unbalanced panel data from Indian corporates without any survivability bias over the period from 2009 to 2020 consisting of 30,396 firm-year observations of 6,718 firms spread across 143 industry groups. The panel data regression tests the interaction effect in the context of the asset substitution problem, predation threat theory, competitive shock, and competitive risk.

The empirical results highlighted the dominance of the predatory effect of competition over the disciplinary advantage of short-term debts. The competitive shock to the industry results in a higher credit spread for refinancing short-term debt and significantly increases rollover risk for firms. Smaller firms have higher default risk from rollover losses than larger firms in the face of competition due to asset-substitution problems and strong rivalry. For firms with weaker fundamentals, the interaction effect of rollover risk and competition exacerbates the flight-to-quality problem, resulting in a systemic event.

The investors can benefit by factoring ex-ante the interdependence of competition, debt market illiquidity, and default premia while calculating the credit risk. The shareholders of competitive firms can reduce the moral hazard of refinancing the rollover losses and defaulting at a higher fundamental default threshold, by reducing sub-optimal utilization of funds by managers and agency costs.

As per the best of author knowledge, the present study is the first to study the moderating effect of product market competition in exacerbating default risk through the rollover channel.

The paper models the financial interconnectedness and systemic risk of shadow banks using Granger-causal network-based measures and takes the Indian shadow bank crisis of 2018–2019 as a systemic event.

The paper employs pairwise linear Granger-causality tests adjusted for heteroskedasticity and return autocorrelation on a rolling window of weekly returns data of 52 financial institutions from 2016 to 2019 to construct network-based measures and calculate network centrality. The Granger-causal network-based measure ranking of financial institutions in the pre-crisis period (explanatory variable) is rank-regressed with the ranking of financial institutions based on maximum percentage loss suffered by them during the crises period (dependent variable).

The empirical result demonstrated that the shadow bank complex network during the crisis is denser, more interconnected and more correlated than the tranquil period. The closeness, eigenvector, and PageRank centrality established the systemic risk transmitter and receiver roles of institutions. The financial institutions that are more central and hold prestigious positions due to their incoming links suffered maximum loss. The shadow bank network also showed small-world phenomena similar to social networks. Granger-causal network-based measures have out-of-sample predictive properties and can predict the systemic risk of financial institutions.

The study considers only the publicly listed financial institutions. Also, the proposed measures are susceptible to the size of the rolling window, frequency of return and significance level of Granger-causality tests.

Supervisors and financial regulators can use the proposed measures to monitor the development of systemic risk and swiftly identify and isolate contagious financial institutions in the event of a crisis. Also, it is helpful to policymakers and researchers of an emerging economy where bilateral exposures' data between financial institutions are often not present in the public domain, plus there is a gap or delay in financial reporting.

The paper is one of the first to study systemic risk of shadow banks using a financial network comprising of commercial banks and mutual funds. It is also the first one to study systemic risk of Indian shadow banks.

The research reported examines the role of service in manufacturing. Focuses on the degree to which Chase′s “Service Factory” concept is applicable in the UK. Also examines the role of service in four manufacturing companies. It was found that the roles reported by Chase in the USA are also used by a number of UK companies, and it is concluded that the service‐factory concept is robust and is not necessarily embedded in some of the cultural norms of the USA, as are some TQM practices. The case data indicated that the source of customer service may be in customers being served by various parts of the organization, that customer service is complex and that service levels are a function of both manufacturing and distribution. This would seem to point to the distribution view of customer service, the field‐service view and/or the service‐factory view being too narrow in terms of the company as a whole.

The learning outcomes are as follows: Understand the concept and characteristics of Bottom of Pyramid (BoP) markets; understand the concept and characteristics of frugal innovations; understand the Design Thinking approach to product design and how it might be useful to develop frugal innovations for BoP markets.

The case details the journey of a group of students at a premier engineering college in India. The group aimed to develop and implement a social innovation that addressed a serious and important health issue – menstrual hygiene practices among urban slum dwellers in India. The case begins with how a chance visit to an NGO inspired a pair of students to take up this issue, how the project unfolded at their college, the challenges faced in their journey and, finally, an outcome that was only a partial success. It raises important questions of challenges that are specific to bottom of pyramid markets in emerging economies. The case can provide a context for discussions on approaching frugal innovations from a Design Thinking perspective.

This case can be used in social innovation courses/modules at an undergraduate or graduate level in social innovation and social entrepreneurship courses. The case is best positioned towards the beginning of the course as an overview of the process of Social Innovation, and to discuss the relevance of concepts of BoP markets and frugal innovation.

Teaching Notes are available for educators only.

CSS 7: Management Science.

Narendra Modi’s Bharatiya Janata Party made fighting corruption as a major election plank, and won the 2014 elections, and formed the National Democratic Alliance government – a majority party government in India in nearly 30 years. Modi was re-elected in May 2019 with a bigger majority. As his government celebrates the second term, it is time to assess the last five years’ accomplishments in fighting corruption. This chapter deals with the subject under four major headings. The first examines the efficacy of existing anti-corruption agencies. The second explains the office of Lokpal (Ombudsman). The third analyses the initial challenges and efforts of the Modi government. The fourth draws some conclusions.