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The COVID-19 crisis has created enormous strain in global supply chains. The disruption has caused severe shortages of critical items, including personal protective equipment (e.g. face masks), ventilators and diagnostics. The failure of the industry to meet the sudden demand for these necessary items has caused a severe humanitarian crisis. These situations, resulting from the COVID-19, crisis have led to the informal growth of frugal innovation in sustainable global supply chains. This paper aims to provide a detailed overview of drivers of frugal-oriented sustainable global supply chains, following lessons acquired from emerging countries’ attempts to deal with the COVID-19 pandemic.

The authors used a focused group approach to identify the drivers and this paper further validated them using existing literature published in international peer-reviewed journals and reports. The authors adopted total interpretive structural modeling (TISM) to analyze the complex relationships among identified drivers.

The authors present a theoretical framework to explain how the drivers are interlinked. This paper has developed the framework through a synthesis of the TISM modeling and Matrice d’impacts croisés multiplication appliquée á un classment analysis. This paper observed that government financial support, policies and regulations, under the mediating effect of leadership and the moderating effect of national culture and international rules and regulations, has a significant effect on the adoption of emerging technology, volunteering initiatives and values and ethics. Further, emerging technology, volunteering initiative and values and ethics have a significant effect on supply chain talent and frugal engineering. These results provide some useful theoretical insights that may help in further investigating the role of frugal innovations in other contexts.

The authors find that outcomes of the methodical contributions and the resulting managerial insights can be categorized into four levels. Industry and researchers alike can use the study to develop the decision-support systems guiding frugal-oriented sustainable global supply chains amid the COVID-19 pandemic and in recovering them thereafter. Suggestions for future research directions are offered and discussed.

The study aims to test prospect theory (PT) predictions in the cryptocurrency (CC) market. It proposes a new asset pricing model that explores the potential of prospect theory value (PTV) as a significant predictor of CC returns.

The study comprehensively analyses a large sample set of 1,629 CCs, representing more than 95% of the CC market. The study uses a portfolio analysis approach, employing univariate and bivariate sorting techniques with equal-weighted and value-weighted portfolios. The study also employs ordinary least squares (OLS) regression, panel data methods and quantile regression (QR) to estimate the models.

This study demonstrates an average inverse relationship between PTV and CC returns. However, this relationship exhibits asymmetry across different quantiles, indicating that investor reactions vary based on market conditions. Moreover, PTV provides more robust predictions for smaller CCs characterized by high volatility and illiquidity. Notably, the findings highlight the dominant role of the probability weighting (PW) component in PT for predicting CC behaviors, suggesting a preference for lottery-like characteristics among CC investors.

The study is one of the early studies on CC price dynamics from the PT perspective. The study is the first to apply a QR approach to analyze the cross-section of CCs using a PT-based asset pricing model. The results shed light on CC investors' decision-making processes and risk perception, offering valuable insights to regulators, policymakers and market participants. From a practical perspective, a trading strategy centered around the PTV effect can be implemented.

One of the major challenges for developing countries is the lack of mechanisms for the evaluation of critical success factors (CSFs) of quality initiatives, which hampers the journey toward sustainability. Lean Six Sigma (LSS) has been one of the most widely used initiatives supporting quality improvement with wastes reduction and facilitating sustainability. To expedite LSS and its spread, it is important to evaluate key CSFs. Accordingly, the purpose of this paper is to provide an approach for the evaluation of LSS-CSFs for Indian small and medium enterprises (SMEs).

The paper uses a graph theoretic approach and demonstrates the evaluation of LSS-CSFs by proposing an index. The development of index is illustrated using a set of seven prioritized CSFs based on the literature review paper (Lande et al., 2016).

This study guides about the translation of CSFs in the form of an index (number) and will benefit both researchers and practitioners, who wish to study the role of key CSFs for implementation and audit requirements for sustainability.

Authors remain confined only to Indian SMEs.

LSS possesses the potential to enhance the performance of manufacturing SMEs, but its evaluation is not easy. This attempt for offering a useful evaluation scheme involving CSFs, in the areas of LSS in developing country contexts, is the first. The approach also facilitates both quality audits and benchmarking between different sets of CSFs. The approach is generalizable and can be extended in other areas.

The purpose of this paper is to facilitate perishable product supply chain (PPSC) managers and practitioners to assess PPSC failure events. The paper proposed fault tree methodology for assessing failures associated with PPSC for evaluating the performance in terms of effective PPSC management adoption.

Initially, different failure events were identified from literature and semi-structured interviews from experts. Fault tree model was developed from the identified failure events. Probability of failure events was calculated using Poisson distribution based on the annual reports and interviews conducted from experts. Further, qualitative analysis – minimum cut sets (MCSs), structural importance coefficient (SIC) – and quantitative analysis – Birnbaum importance measure (BIM), criticality importance factor (CIF) and diagnosis importance factor (DIF) – were performed for ranking of failure events. In this study, fault tree development and analysis were conducted on apple supply chain to present the authenticity of this method for failure analysis.

The findings indicate that the failure events, given as failure at production and procurement (A2), that is, involvement of middleman (BE3), handling and packaging failure (BE4) and transportation failure (A3), hold the highest-ranking scores in analysis of PPSC using fault tree approach.

This research uses the modularization approach for evaluation of failure events of PPSC. This paper explores failures related to PPSC for efficient management initiatives in apple supply chain context. The paper also provides suggestion from managerial perspective with respect to each failure event.

Power quality issues highly affect the secure and economic operations of the power system. Although numerous methodologies are reported in the literature, flexible alternating current transmission system (FACTS) devices play a primary role. However, the FACTS devices require optimal location and sizing to perform the power quality enhancement effectively and in a cost efficient manner. This paper aims to attain the maximum power quality improvements in IEEE 30 and IEEE 57 test bus systems.

This paper contributes the adaptive whale optimization algorithm (AWOA) algorithm to solve the power quality issues under deregulated sector, which enhances available transfer capability, maintains voltage stability, minimizes loss and mitigates congestions.

Through the performance analysis, the convergence of the final fitness of AWOA algorithm is 5 per cent better than artificial bee colony (ABC), 3.79 per cent better than genetic algorithm (GA), 2,081 per cent better than particle swarm optimization (PSO) and fire fly (FF) and 2.56 per cent better than whale optimization algorithm (WOA) algorithms at 400 per cent load condition for IEEE 30 test bus system, and the fitness convergence of AWOA algorithm for IEEE 57 test bus system is 4.44, 4.86, 5.49, 7.52 and 9.66 per cent better than FF, ABC, WOA, PSO and GA, respectively.

This paper presents a technique for minimizing the power quality problems using AWOA algorithm. This is the first work to use WOA-based optimization for the power quality improvements.

The purpose of this paper is to identify and list critical success factors (CSFs) of Lean Six Sigma (LSS) framework affecting and influencing quality, operational and financial performance of small and medium enterprises (SMEs). It also intends to guide researchers and practitioners in selecting appropriate set of CSFs for empirical studies, developing frameworks and to ensure effective implementation experience of LSS.

It systematically reviews literature on CSFs and Indian experience regarding LSS. It uses exploratory approach for data collection and documents various studies depicting both manufacturing and service experiences by using time tested statistical tools to prioritize CSFs, which critically influence LSS implementation.

The study guides and facilitates researchers and practitioners in using the most appropriate set of CSFs for empirical studies and in developing/modifying/reviewing application frameworks. It also guides implementation experience regarding LSS, which can be beneficiary for both developing and developed country contexts. Industries can accelerate implementation by understanding and using most important CSFs, which influence LSS framework.

The study mainly remains confined to the CSFs for LSS implementation in SMEs from Indian subcontinent.

The value lies in documenting, and prioritizing CSFs influencing LSS in a meaningful manner so that researchers/companies take advantage of Indian experience in prioritizing CSFs for framework. The study drastically reduces implementation hassles and simplifies execution for empirical studies. The findings are not restricted to India but are generalizable and can globally utilized in deciding determinants of LSS framework.

The students should be able to understand the potential and competitive advantage of community-based business model. The students should be able to familiarise themselves with the concept of entrepreneurship through acquisitions. The students should be able to decide when a firm should use acquisition as a key driver coupled with fewer efforts on organic growth or vice-versa. The student should be able to evaluate the success or failure acquisition as a growth strategy. The student should be able to evaluate the key metrics and other variables in the acquisition of target companies. The students should be able to wear the shoes of the protagonist and resolve the dilemma.

The teaching case looks at the dilemma of Sairee Chahal. Chahal is the founder of SHEROES, an online community for women. SHEROES started as an online career ecosystem for women. As time progressed Chahal witnessed conversations beyond career and moved towards women-centric themes. Chahal decided to pivot it into an online community for women. Her growth strategy for SHEROES has primarily been driven by serial acquisitions coupled with dispersed efforts on organic growth. In the meanwhile, Chahal had harboured an ambition to bring 100 million users to SHEROES by the year 2024. In a period spanning from 2016–2020, SHEROES acquired six niche women-centric companies. SHEROES grew to be a community of 1 million users to 20+million women users by 2020. On the other hand, the industry leader, Mogul used a diametrical approach to grow the platform into 30+million users by 2020. It had primarily used organic growth strategies such as content development, designing courses, referrals and many more. However, Chahal found herself in a dilemma when a reporter posed a question to Chahal. Chahal’s growth strategy depended on acquisitions, coupled with less effort in organic growth. Conversely, Mogul grew primarily via organic growth strategies. The reporter’s question forced her to question and revisit her growth strategies. She wondered if a target of 100 million users could be achieved with the acquisition as a major driver and less effort invested in organic growth or whether it might be better to make organic growth the key growth strategy while pushing acquisitions to the back seat. The uniqueness of the case lies in the female protagonist who is trying to build a larger-than-life community primarily via acquisitions with little effort on organic growth. Such a phenomenon has rarely been explored in teaching cases. The case is based on secondary data and the information is available in the public domain.

The case is designed for post-graduate students in the entrepreneurship curriculum. Within entrepreneurship, it is well-suited for use in specialised courses on “growth of an entrepreneurial venture” or “entrepreneurial strategies”. An instructor may take it up in the middle of the module as students would have familiarised themselves with various growth strategies. An instructor may use the case for a very niche course such as entrepreneurship through acquisition. An instructor may take it up as an introductory case in such a course. It can also be used in the executive programme aimed at “women entrepreneurship”, “community-based model” and “serial acquisitions” to teach how women or founders create and grow entrepreneurial ventures with acquisitions or communities as their focal tenet. The case has been tested in the authors’ post-graduate student’s entrepreneurship course. An instructor can use it when the instructor wants to discuss the various growth strategies available to an entrepreneurial firm.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

Free Open Source Softwares (FOSS) witnessed the development of many very good alternatives to proprietary softwares. These free softwares can be localized in several local languages. This paper aims to illustrate a very interesting empirical investigation on FOSS. Several significant benefits of localization are described in introduction and subsequent sections.

Although the localization process is standard and well documented for most of the FOSS, it is a more complex task as it involves coordination among developers, linguists and domain experts. Hence, a very few open source softwares are successfully localized in Indian languages. In this paper, the authors present an approach that they have used for GIMP (GNU Image Manipulation Program) software Marathikaran (localization in Marathi language) project of by Rajya Marathi Vikas Sanstha of Maharashtra Government (RMVS), India.

This localization project has been described by RMVS as a pilot project that would guide such similar localizations in many other Indian languages for other popular open source softwares.

The localization work overcomes the general misconception that regional languages are good only for communication (Boli Bhasha) but cannot be used for dissemination of knowledge (Gyan Bhasha). This work is notably contributing to language preservation, language revitalization and Digital India Initiative.

This work is the pioneering work in this domain for Marathi language with respect to GIMP. The authors presented systematic steps used to localize the GIMP software in Marathi language (from 2% to 100%).

Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept.

Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves.

The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission.

The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.

The purpose of this study is to examine the effectiveness of the Thai nursing student competency enhancement program applied through project-based learning (PjBL) in caring for the elderly in the community.

This quasi-experimental one-group pre-post-test design was used to compare mean scores on gerontological nursing competency scales comprising four dimensions including holistic health promotion, empirical evidence, empowerment and quality care and ethical and moral competencies. A total of 95 participants were randomly selected from a list of registered attendees. A five-week PjBL approach for a community nursing practicum was designed and comprised of an introduction to the project, components of research methodology, group projects and group presentations. A gerontological nursing competencies questionnaire was used with participants, and data were analyzed using descriptive statistics. Two-way ANOVA and a paired t-test were used to compare pre-post mean scores of competencies.

A total of 95 students participated in the PjBL and the majority of participants were female (92.6%). The results revealed post–PjBL mean scores of gerontological nursing competencies were higher than the premean score (p value < 0.05) except the empirical evidence competencies which showed no statistical difference.

Since the results show the effectiveness of the student nursing competency enhancement program through PjBL when caring for the elderly in the community, it is important for health care instructors to apply PjBL, especially in community nursing. Improving empirical competency evidence among nursing students is still required and necessary.