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The spread of novel Coronavirus 2019 (COVID-19) has affected more than four million lives worldwide. Unfortunately, incidents of stigmatisation associated with COVID-19 are being reported worldwide. Studies conducted during and after public health emergencies because of communicable diseases have highlighted the development of stigmatisation and associated mental health consequences. This study aims to explore the past pandemics and current incidents of stigmatisation to understand COVID-19 stigma, its mental health impact and how they can be prevented by using primary and secondary prevention methods.

Researches were shortlisted using keywords such as “infectious diseases and mental health”, “COVID 19 stigma and mental health”, “Contagious disease stigma” and “mental health of survivors”.

Studies conducted during and after public health emergencies because of communicable diseases have highlighted the development of stigmatisation and associated mental health consequences. The emphasis is on universal prevention of stigmatization. Early psychological intervention may reduce the long-term psychological effects of the illness and reduction of stigma may contribute to treatment.

This paper predicts the chances of stigmatisation that COVID-19 survivors may face and possible strategies to prevent it.

The purpose of this study is to ascertain the types of mitigation strategies used around the world to tackle the harassment of visitors by microtraders, the target population for these strategies, the number and ratio of countries/territories where used and to posit ideas on how the academy may assist in improving their effectiveness.

A total of 247 archives from 73 countries/territories were analysed using typological analysis, cross tabulation and frequency analysis.

Eight broad strategies were found. The top three most common were: policing, media/communication and legislative strategies. In total, 79 specific strategies were also named. The strategies targeted various groups at the destination. This paper then concluded with eight sub-streams for future trader harassment of visitor research being identified. They are research focussing on criminological, learning, research design and data analysis, environmental planning and design, work analysis and design, communication, technological and social infrastructure solutions.

This paper was the first to look at trader harassment mitigation strategies globally and the first to propose sub-streams in the area of visitor harassment research.

For vector control of permanent magnet synchronous motor (PMSM) requires motor speed and rotor position estimation. The precision of the open-loop techniques of the stator flux and speed for vector control PMSM drive drops as mechanical speed decreases. The stator resistance and estimated stator flux values crisscross have a huge effect on the transient and steady-state performance of the drive at lower speed. The framework turns out to be increasingly strong against parameter crisscross and signal noises by using adaptive observers for estimation of speed and flux.

This paper presents a comparison of two-speed observers for the vector control PMSM drive: the sliding mode observer (SMO) and the model reference adaptive system (MRAS). A comprehensive analysis of SMO and MRAS respects dynamic, steady-state performance and robustness, affectability, stability and computational complexity has been introduced. The abstract of the advantages and disadvantages of both observer and their comparative analysis have also been discussed.

Dynamic performance steady-state performance and robustness, affectability and stability.

This paper presents a sensorless scheme, namely, MRAS and SMO for control of PMSM drive. These sensorless techniques have been tested for a PMSM motor drive and the motor performance was compared for both techniques. Matlab/Simulink based simulation results conclude that the adaptive methods improve dynamic response, reduces torque ripples and extended speed range.

The purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage.

The new greedy algorithm is proposed to balance the energy consumption in edge computing.

The new greedy algorithm can balance energy more efficiently than the random approach by an average of 66.59 percent.

The results are shown in this paper which are better as compared to existing algorithms.

The case helps to understand: the working mechanisms of a digitized salon service, with a focus on the lower- and middle-income strata. The changing scenario of the service marketing model, with the growth in digital service models. To investigate the organisational challenges of a digitally facilitated/based start-up and find solutions to overcome the challenges.

“Yes Madam”-salon at home was a business enterprise, providing beauty and wellness services at the doorstep through a mobile application and web-based platform. The case describes the reason for opening the doorstep beauty services, its revenue model and aims to provide quality services to lower- and middle-income strata. The case will help students to understand the working mechanism of digitized salon services and associated challenges; prominent ones being attracting, selecting and retaining the beauticians and providing the standardised services. The case has examined the low-price services for the consumers delivered by the company. The case also discussed their plans for diversification and penetration into the untapped markets.

Graduates and postgraduates.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

The Purpose of this study is to provide an alternative way to create customer valuation metric while accounting for customer riskiness. Customer relationship management (CRM) emphasizes the importance of measuring customer value. Analytics has paved the way for innovation by providing companies valuable insights into the behavior of customers. Earlier models used to measure customer value do not take into account the types and level of risk posed by customers, such as probability of churn, regularity of purchases, etc. The authors put forth a new and innovative approach to measuring customer value while, at the same time, adjusting for customer riskiness.

Using a non-parametric approach used in the operations research area, the authors create a risk-adjusted regency, frequency, monetary value (RARFM) score for each customer. These scores are used to segment the customers into two groups – customers with high and low RARFM scores. The authors then identify the underlying demographics and behavioral characteristics that separate the two groups.

Findings of this paper indicate that customers who perform the best on the RARFM metric tend to be more experienced, and are more likely to exhibit behavioral tendencies that help them perform well in their jobs, such as purchasing promotional goods that act as sales aid and enhance their performance.

The paper is innovative in its approach in terms of creating a new metric for calculating customer value. Few papers have proposed ways to handle and adjust for customer riskiness. Here, the authors propose three kinds of customer risk. Current paper provides a twist to traditional RFM analysis by creating a RARFM score for each customer, and provides a scientific way of assigning weights to RFM.

This chapter discussed the role of business intelligence (BI) in healthcare twofold strategic decision making of the organization and the stakeholders. The visualization techniques of data mining are applied for the early and correct diagnosis of the disease, patient’s satisfaction quotient and also helpful for the hospital to know their best commanders.

In this chapter, the usefulness of BI is shown at two levels: at doctor level and at hospital level. As a case study, a hospital is taken which deals with three different kinds of diseases: Breast Cancer, Diabetes, and Liver disorder. BI can be applied for taking better strategic decisions in the context of hospital and its department’s growth. At the doctor level, on the basis of various symptoms of the disease, the doctor can advise the suitable treatment to the patients. At the hospital level, the best department among all can be identified. Also, a patient’s type of admission, continued their treatments with the hospital, patient’s satisfaction quotient, etc., can be calculated. The authors have used different methods like Correlation matrix, decision tree, mosaic plots, etc., to conduct this analysis.

The utterly un-nostalgic person is probably a non-existent being. At both a personal and collective level, we explore how nostalgia is experienced and in demand during times of transition, disjuncture, conflict and uncertainty. This chapter explores the emotion of nostalgia and connects it specifically to the current corona pandemic – the challenges of lockdowns and social distancing measures on interaction, feelings of loneliness and a generalised sense of uncertainty and despair, and also a rise of nostalgia as a possible response to these challenges. The predominant view of nostalgia put forth in this chapter is that nostalgia has the capacity to provide a great deal of benefit (meaning, hope, direction and purpose) to individuals, groups, institutions and societies at large. Indeed, nostalgia can be a tranquil feeling in a fearful world. We relate nostalgia to studies and experiences from the pandemic period and speculate on how the so-called ‘corona crisis’ may impact feelings of nostalgia in the post-pandemic world – perhaps even a nostalgia and longing for the pandemic period itself.

If the corona pandemic has in fact sparked a new (or renewed) interest in nostalgia in contemporary society due to the corona pandemic, it may indeed prove to be a positive thing, particularly if it makes it easier for people to deal with current feelings of adversity and anxiety. We suggest the nostalgia mood that is generated and perpetuated by the continuing twists and turns of the corona pandemic may – in the short and long run – prove useful in coping with and giving meaning to the problems and perplexing circumstances of life, rather than being a regressive phenomenon. Perhaps, something good may, in the end, grow from something bad?

This paper aims to discuss ways in which working in the virtual space can give rise to negative norm violating behaviours of employees in organizations. Further, it describes some of the measures that can be taken by organizations to manage such behaviour such that organizational and individual goals are met.

This paper discusses the impact and importance of managing deviant behaviour of employees. Using relevant examples procured from secondary sources, this paper further provides a glance at how organizations can minimize such behaviour and maintain a productive and supportive work environment.

In today’s scenario when remote working has become a norm, organizations can prevent employees from engaging in deviant behaviour by providing supportive work environment, recalibrating their policies as per the situation and by adopting a top-down approach of communication.

This paper aims to provide a glance at the people-related challenges that the shift to virtual working may have given rise to. It provides measures that organizations can adopt to keep their employees focussed and prevent them from engaging in deviant behaviours.

The purpose of this paper is to understand MBA skill transfer, employability and how work-integrated learning (WIL) can help in ensuring the availability of employable managers after the completion of MBA. India faces a major crisis in terms of finding employable workforce despite its huge population. The paper explores the question of employability. It focuses on how WIL can be used to facilitate transfer of skills, which ultimately leads to a more employable workforce.

Existing research was studied to establish linkages between WIL and skill transfer. The existing skill gaps in MBA education, which lead to unemployable business graduates, were also revealed.

The literature studied suggests that there is a positive impact of obtaining an MBA degree on the employability of business graduates. However, there is no concrete evidence to show that the impact is big enough to cover the cost and time spent on pursuing the degree. The paper also reveals the various types of WIL modules being followed by some universities to improve skill transfer and to ensure that graduates are work-ready.

Though the question of employability poses a serious threat to the Indian education as well as the industry, little has been done to assess the ways in which the graduates can be made employable. WIL is also being practiced in a very narrow sense and only by institutes of repute. WIL is being practiced in certain countries and the Indian business schools can use these programmes as a guide.

The paper studies the question of employability from the point of view of the Indian economy and educational institutions. It draws from the experiences of other countries in trying to include WIL into the degree programme to facilitate skill transfer.