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The purpose of this paper is to re-examine the long-run relationship between radiative forcing (including emissions of carbon dioxide, sulphur oxides, methane and solar radiation) and temperatures from a structural time series modelling perspective. The authors assess whether forcing measures are cointegrated with global temperatures using the structural time series approach.

A Bayesian approach is used to obtain estimates that represent the uncertainty regarding this relationship. The estimated structural time series model enables alternative model specifications to be consistently compared by evaluating model performance.

The results confirm that cointegration between radiative forcing and temperatures is consistent with the data. However, the results find less support for cointegration between forcing and temperature data than found previously.

Given considerable debate within the literature relating to the “best” way to statistically model this relationship and explain results arising as well as model performance, there is uncertainty regarding our understanding of this relationship and resulting policy design and implementation. There is a need for further modelling and use of more data.

There is divergence of views as to how best to statistically capture, explain and model this relationship. Researchers should avoid being too strident in their claims about model performance and better appreciate the role of uncertainty.

The results of this study make a contribution to the literature by employing a theoretically motivated framework in which a number of plausible alternatives are considered in detail, as opposed to simply employing a standard cointegration framework.

The objective of writing this case study is to allow management students to engage with the complexities of mergers and acquisitions (M&As) in the insurance sector in an emerging economy like India. Upon completion of this case study, the students will be able to critically evaluate the business environment of the insurance sector of a developing economy like India, analyse the impact of M&As on the insurance industry of India, appraise the post-merger consequences and strategies to deal with these consequences, assess the applicability of market power and growth theories in the context of M&As and develop a strategic action plan for handling post-merger challenges.

On 3 September 2021, the Insurance Regulatory and Development Authority of India (IRDAI) approved the “Scheme” related to the merger of the non-life insurance division of Bharti AXA General Insurance Company Limited (“Bharti AXA”) with ICICI Lombard General Insurance Company Limited (“ICICI Lombard”). Earlier, on 21 August 2020, the boards of the companies had approved entering into definitive agreements through a scheme of arrangement. The merger received approvals from different regulatory bodies as mandated (Gandhi et al., 2023). Bhargav Dasgupta, managing director and Chief Executive Officer of ICICI Lombard, stated, “This is a landmark step in the journey of ICICI Lombard, and we are confident that this transaction would be value accretive for our shareholders” (FE Bureau, 2020). However, the merger posed a dilemma for Dasgupta and the management regarding crop insurance owing to its impact on profitability. Crop insurance historically had high claim ratios nearing 135% for ICICI Lombard for financial year 2018. The company ceased to underwrite this product from 2019 onwards (TNN, 2019). However, ICICI Lombard had to fulfil the three-year commitment made by Bharti AXA to the state governments of Maharashtra and Karnataka towards crop insurance. It was a scheme initiated by the Government of India, covering farmers against losses due to cyclonic rains, rainfall deficits and other unforeseen calamities. Dasgupta faced a challenge in managing the interests of the farmers and the company’s shareholders while balancing profitability, which had already been impacted by the COVID-19 pandemic. This case study delves into post-merger complexities in the financial sector non-life insurance industry in emerging countries like India.

This case study is suitable for undergraduate and post-graduate management students and executives from the insurance industry.

Teaching notes are available for educators only.

CSS 11: Strategy.

The locational disadvantage of a health-care centre often restricts adequate delivery of health-care services in an area. The purpose of this study is to examine the status of primary health-care services in such a geographically disadvantageous area which is confined by forests, tea gardens and undulating topography.

Necessary secondary data of 13 primary health centres and 236 sub-centres has been collected from the Office of the Chief Medical Officer of Health. Based on obtained data, Health-care Infrastructure Index has been prepared which has been validated by an expert panel, and subsequently, the Thiessen Polygon method has been applied through Arc GIS software to show spatial variation of health-care services delivered by different health-care centres.

In the study area, there is wide variation found in the case of physical facilities, caregivers and connectivity of road networks, which altogether affect the overall status of health-care services. Among all the indicators, some health-care centres experience staff shortages for prolonged non-recruitment, inaccessibility and inconsistent patient load in different health centres.

In spite of the unfavourable geographical landscape, health-care centres have to be set up wherever possible. There is a need to make new roads and simultaneously the existing road connectivity should be improved so that patients and caregivers can move quickly whenever required. Existing physical facilities need to be renewed or redeveloped along with increasing the number of doctors and other health-care providers as per the need of people with an adequate and optimum level of services.

The study is done to investigate the factors that affect the intention of higher education students towards online education. The research also focuses on the importance of students' stability and students' resilience on perceived usefulness and perceived easiness of use that frame the attitude towards the intention to use online education.

Online survey method is employed using Google form link with a sample of 686 students of higher education. Excluding the outliers (univariate and multivariate), the final sample size (N = 679) considers the empirical results of the study. Partial least square structural equation modelling (PLS-SEM) is applied to unearth the relationship in the proposed research model of the study.

The empirical results indicate that perceived usefulness and perceived easiness of use have a direct impact on students' intention to use online education platform. Moreover, perceived usefulness and perceived easiness of use also have a positive influence on the students' attitude, which has a strong influence on students' intention to use online mode of education system. Also, students' stability and students' resilience have mixed impact on the level of perceived usefulness and perceived easiness of use that are the most useful determinants of attitude towards the intention to use online education.

The study counts on the technology acceptance model (TAM) where constructs like behavioural controllability, past exposure and perceived accordance are not considered for measuring the intention of students in adapting to online education.

This paper employs the extended model of technology acceptance with additional determinants, namely, students' stability and students' resilience, to investigate the intention to use the online form of education as an alternative to the offline mode.

This paper examines how “strategic” chief financial officers (CFOs) with an elite MBA (i.e. elite CFOs) influence (1) stock market reaction to CFO hiring announcements (ex ante measure) and (2) post-hiring firm performance (ex-post measure).

This paper utilizes a comprehensive, proprietary database with information about the educational qualifications and prior professional experience of 1,340 CFOs hired during the period 1994–2014. For each CFO, the authors hand-collected data on the CFO's prior experience as well as CFO's educational profile. The authors also identified the date of CFO hiring from financial press articles. To evaluate performance, the authors consider two different, yet complementary performance measures: (1) the stock market reaction, a priori measure and (2) a traditional measure of performance, which is a post-facto metric related to firm performance.

The results show that hiring CFOs with scarce and strategic human capital elicits a positive market response and leads to significant improvement in firm performance. Further, firms with greater managerial discretion benefit more from hiring elite CFOs. The results hold after controlling for chief executive officer (CEO), CFO, top managment team (TMT), and board characteristics.

This study shows converging and mutually consistent results about what specific types of CFO human capital create firm value and, more importantly, show that such value-creation is only in the case of small firms and high growth firms. The study also advances the stream of literature that contrasts the relative benefits of specialist versus generalist qualifications.

The purpose of this study is to study the impact of relationship marketing orientation (RMO) and relationship quality on customers' commitment and pro-marketer behavior (positive word of mouth and external attribution) after negative brand publicity by using the combined lens of relationship marketing theory and the theory of cognitive dissonance.

A survey was conducted among banking customers in India using an online questionnaire. Data were analyzed using structural equation modeling and the bootstrapping procedure using the SPSS process macro.

Contrary to conventional wisdom, findings of this study suggest that RMO and relationship quality are positively correlated to commitment even after negative publicity. The path between RMO, relationship quality and pro-provider behavior is found to be mediated by commitment. This indirect path is moderated by customers' cognitive dissonance arising out of the negative publicity.

The study establishes the combined roles of RMO and relationship quality in pre-empting the detrimental effects of negative brand publicity. Further, it establishes interactions of cognitive dissonance with these relationship variables, thereby bringing together literature from relationship marketing theory and cognitive dissonance theory.

The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic has severely disrupted the operations of global supply chains (SCs) providing an opportunity for decision-makers to rethink and tune their existing strategies. To tackle the impacts caused by such a pandemic, this study aims to examine the contextual relations among the factors influencing supply chain viability (SCV) for achieving long-term Sustainable Development Goals (SDGs).

A decision-aid approach by integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been propounded. The proposed approach examines contextual relations among the factors for SCV for small and medium-sized enterprises (SMEs) in an emerging economy. This study contributes to theory, methodology and practice by exploring a new research problem in the context of the SCV and COVID-19 pandemic and by developing a new decision-aid approach.

The findings reveal that the creation of SC digital twin and transformation of SCs to supply networks would help the policymakers to deal with the “new normal.” Also, SC crowdfunding and policy development for health protocols are critical driving factors influencing SCV.

This research work is perhaps one of few initial attempts to advance the theoretical and practical understanding of SCV and to achieve SDGs in industries following a pandemic risk.