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During the COVID-19 pandemic, prisons faced a unique challenge of preventing and managing outbreaks with minimal adverse impact. This study aims to describe the epidemiology of COVID-19 in prisons, identify lessons learnt and make recommendations.

The authors used the PubMed advanced search function using MeSH terms; (coronavirus, sars) AND (prisons) AND (disease outbreaks). The authors included original research reporting COVID-19 outbreaks in prisons. All other types and non-English publications were excluded. The authors used a structured data abstraction template to extract data systematically, and a second author independently abstracted data from 10% of the papers for quality assurance.

The search yielded 96 hits. The authors included 15 studies meeting the inclusion criteria. These studies were from four countries. Seven studies reported individual outbreaks. The mean and median number of inmates and staff were 1,765, 1,126 and 575, 510. The mean and median number of cases among inmates and staff were 584, 464, and 72, 77. The number of reported deaths varied from 0 to 11. The authors present the prison-specific hazards grouped under human factors, healthcare factors and environmental factors. The authors also summarise interventions deployed as either primary prevention interventions, such as vaccinations, or secondary prevention interventions, including screening and contact tracing.

This narrative review summarises the prison-specific hazards, which include movement of people in and out of the person, moving in new prisoners from other prisons, mixing of prisoners when transporting to courts, limited medical and isolation resources, crowded dormitories, shared lavatories, small communal facilities, poor ventilation and overcrowding. The interventions included limiting non-medical transfers into and out of the persons, assigning staff members to specific areas, encouraging face coverings among prisoners and staff and social isolation measures within the constraints of the prison setting. The interventions were adopted by prison authorities to contain and manage the outbreaks. Public Health and prison authorities need to be aware of the risk of further outbreaks of COVID-19 and other infectious diseases in these settings and implement key measures identified in this review to minimise adverse outcomes.

The case is intended to enable the student to understand: The dynamics of SME, particularly in the adhesive industry entrepreneurial dilemma faced by the owner of an SME, faced with an existential crisis; the application of analytical frameworks such as Porter’s five forces, PESTEL and SWOT in strategy formulation; importance of long-term supplier relationships and focus on quality in retaining relationship clients.

The case is set up in the context of a SME in the adhesive industry in India where the Managing Director of the company Suntej Engineering Private Ltd was engulfed with questions on the future of the firm. The firm was faced with multiple challenges mostly from the external environment. The case could help students to appreciate the process of strategic decision-making by the owner of a small firm, in response to a crisis situation, and how his vast experience and entrepreneurial mind-set helps him to tide over the crisis.

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Strategy

Community resilience decides a lot on a city's ability to withstand an external shock. It has evolved naturally from a bounce-back approach to a more robust and meaningful bounce-forward process. The study explores gaps found in community resilience and finds that criteria specific to different disasters are absent.

The study uses a multi-criteria decision analysis technique, fuzzy Delphi, to select criteria. Derivation of the initial list of criteria was from a pilot study, a focus group discussion and other literature studies which was followed by the fuzzy Delphi survey.

After two rounds of fuzzy Delphi analysis, the consensus among 65 experts resulted in selecting 125 sub-sub-criteria within seven criteria. Findings show that many criteria previously not discussed in other pieces of literature project high fuzzy scores such as “availability of drinking water post-disaster” and “cracking down fake news spreaders by the police”. In addition, positive cooperation between political and religious institutions have proven to expedite disaster recovery.

The future scope also includes weighing the selected criteria using analytical hierarchy process (AHP).

Policymakers in the disaster management domain can use the study findings in implementing effective disaster mitigation strategies.

The selection of criteria is based on the community resilience shown by the Kerala community during the floods of 2018 and 2019 (in Kerala). Measures demonstrated by the community need to be studied, which will help foster disaster mitigation better in future scenarios.

This paper analyses and benchmarks the performance of the general and health Insurance companies in India, considering their production, capital allocation and investment efficiencies as three distinct stages.

A three stage Data Envelopment Analysis (DEA) methodology has been used with three years of data of the health and general insurance companies.

In addition to production and investment efficiencies, the capital allocation efficiency of an insurance firm significantly impacts its financial performance. The study shows that notwithstanding the efficiency scores in production and investment, general insurance firms with superior capital allocation efficiencies are the ones that have been able to translate their efficiencies into better business performance.

The study provides deeper understanding of the importance of capital allocation decisions and its linkages to production and investment efficiencies to help insurance firms to make better operational and financial decisions. The standalone health insurance players in spite of their reasonably high capital allocation efficiency scores have not been able to translate their efficiencies into superior financial performance.

While the existing literature at best has only considered production and investment decisions as the two stages, the present study has added another stage relating to the allocation of financial resources of the insurance firms. The paper is also distinct in terms of its analysis of linkages between efficiency scores of the three different stages with key financial performance measures.

The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance.

A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance.

A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights.

The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports.

There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance.

This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

The purpose of this paper is to study the supply chain resilience of Indian truckload transportation industry, in the event of potential disasters that affect the normalcy of their services. This study helped to identify factors affecting the two important dimensions of resilience, namely, resistive capacity and restorative capacity.

With the help of a comprehensive literature review, the different variables that capture both resistive and restorative capacities were identified. A framework for measurement of resilience was developed and an analytical model using Bayesian belief networks methodology was used to understand the linkages between the variables.

The results also suggest that at present resilience of the supply chains in Indian trucking firms is very low and there is a need for companies to invest in resources to build both in resistive and restorative capacities to enhance resilience.

The results of the model and the sensitivity analysis performed further helped to understand the major drivers that can enhance resilience of truckload firms.

The major contribution of this paper is to develop a quantitative model for resilience modeling in truckload transportation. This model can be updated when a new data arrives.

World War I is the pivot of twentieth century American history because it transformed the United States from a regional into a global power. As the fiftieth anniversary of World War II winds down, we remind ourselves of the first “Great War” and its continuing importance to American self‐conception and memory.

This action research project traces how a teacher used images of cultural universals as part of a kindergarten social studies curriculum to help her students develop temporal distinctions between past and present. Students were introduced to the general idea of what cultural universals were, and then they studied two different periods of history using cultural universals. After clearing up some initial misconceptions, the majority of the students were able to make at least a dichotomous distinction between past and present, and many students were able to make additional temporal distinctions among periods of the past.

Emotional intelligence reflects the ability to read and understand others in social contexts, to detect the nuances of emotional reactions, and to utilize such knowledge to influence others through emotional regulation and control. As such, it represents a critically important competency for effective leadership and team performance in organizations today. In this paper, we develop a conceptual model that brings together theory and research on emotional intelligence, leadership, and team process and outcomes. Additionally, we formulate testable propositions, propose directions for future research, and discuss implications for practice.