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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 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 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.

The purpose of the paper is to analyze reliability characteristics of batch service queuing system with a single server model that envisages Poisson input process and exponential service times under first come, first served (FCFS) queue discipline.

With the help of renewal theory and stochastic processes, a model has been designed to discuss the reliability and its characteristics.

The instantaneous and steady-state availability along with the maintenance model of the systems subject to generalized M/M_b/1 queuing model is derived, and a few particular cases for availability are obtained as well. For supporting the developed model, a case study on electrical distribution system (EDS) has been illustrated, which also includes a comparison for the system subject to M/Mb/1 queuing model and the system without any queue (delay).

It is a quite realistic model that may aid to remove congestion in the system while repairing.

The purpose of this paper is to review and summarize the theme issue outcomes in relation to the strategic question: How can the Skill India initiative become a solution to the critical need for skilled labour in the Indian hospitality industry?

The paper draws on the findings of the theme-issue contributors to identify the role of the Skill India initiative in addressing the need for professionally skilled employees in the Indian hospitality industry.

This concluding paper highlights research relating to the Skill India initiative and its implications for industry practitioners, researchers and policymakers.

At the broader policy level, the theme issue observes that the Skill India initiative by the central government is an ambitious effort to facilitate skills-based training so that candidates can find employment in an industry or vocation of their choice. However, there are numerous concerns about the effectiveness of its design and implementation.

This theme issue provides insights from both practitioner’s and academic’s perspectives as to how to overcome the gap in the availability of skilled and trained labour in the Indian hospitality industry.

3D food printing technology is an emerging smart technology, which because of its inbuilt capabilities, has the potential to support a sustainable supply chain and environmental quality management. This new technology needs a supportive ecosystem, and thus, this paper identifies and models the enablers for adopting 3D printing technology toward a sustainable food supply chain.

The enablers were identified through an extensive literature review and verified by domain experts. The identified enablers were modelled through the hybrid total interpretive structural modelling approach (TISM) and the decision-making trial and evaluation laboratory (DEMATEL) approach.

It emerged that stakeholders need technical know-how about the 3D printing technology, well supported by a legal framework for clear intellectual property rights ownership. Also, the industry players must have focused and clear strategic planning, considering the need for sustainable supply chains. Moreover, required product innovation as per customer needs may enhance the stakeholders' readiness to adopt this technology.

The framework proposed in this research provides managers with a hierarchy and categorization of adoption enablers which will help them adopt 3D food printing technology and improve environmental quality.

This research offers a framework for modelling the enablers for 3D food printing to develop a sustainable food supply chain using the TISM and DEMATEL techniques.

The purpose of this paper is to test the hypothesis that there are correlations between campus sustainability initiatives and environmental performance, as measured by resource consumption and waste generation performance metrics. Institutions of higher education would like to imply that their campus sustainability initiatives are good proxies for their environmental performance.

Using data reported through the Association for the Advancement in Higher Education’s Sustainability Tracking and Rating System (AASHE STARS) framework, a series of univariate multiple linear regression models were constructed to test for correlations between energy, greenhouse gas (GHG), water and waste performance metrics, and credit points awarded to institutions for various campus sustainability initiatives.

There are very limited correlations between institutional environmental performance and adoption of campus sustainability initiatives, be they targeted operational or coordination and planning best practices, or curricular, co-curricular or research activities. Conversely, there are strong correlations between environmental performance and campus characteristics, namely, institution type and climate zone.

Institutional decision makers should not assume that implementing best practices given credit by AASHE STARS will lead to improved environmental performance. Those assessing institutional sustainability should be wary of institutions who cite initiatives to imply a certain level of environmental performance or performance improvement.

This is the first paper to use data reported through the AASHE STARS framework to assess correlations between campus initiatives and environmental performance. It extends beyond previous research by considering energy, water and waste performance metrics in addition to GHG emissions, and it considers campus sustainability initiatives in addition to campus characteristics.