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The future of management studies is invariably steering towards online and hybrid modes of course delivery. Therefore, assessing the effectiveness of online course delivery is exceptionally crucial. This study attempts to evaluate the effectiveness of online course delivery in management education involving the instructor, participant and technological component. This study contributes to the body of knowledge in three ways. First, the study proposes an approach to assess the effectiveness of online courses in management education. The study demonstrates this by taking a case study of a business school (B-school) in southern India. Second, the study identifies the shortcomings and areas that need improvement to enhance the overall effectiveness further. Third, the study outlines suggestive measures to improve the effectiveness of online course delivery by addressing technical, infrastructural, instructor and student behavioral components.

To accomplish the objectives, a case study approach has been adopted and fuzzy logic has been used as a methodology to assess the effectiveness of online course delivery in management education.

The findings suggest that instructors' use of cases and animation during online sessions, use of whiteboards, digital pens and other tools, attempts to draw participant's interest and the users' sense of belongingness in the online cohort, self-discipline and motivation from students' side, easy to use Learning Management System (LMS), audio-visual platforms, active electronic communication and training on the technical aspect of the online platform need to be improved to enhance the effectiveness of online course delivery further. The current effectiveness of online course delivery in the case of B-school was found to be “Fair,” which is average in relation to the effectiveness labels.

This study doesn't investigate the factors that moderate the effectiveness of online course delivery and how the factors influence each other. Future research endeavors can be extended in this direction to enrich the body of knowledge with new insights. Apart from this, the results outlined in this study are about the status quo of the case B-school and can't be generalized. However, the methodology and approach can be adopted by other B-schools or higher educational institutes to measure the schools' and institutes' current level of effectiveness in online teaching.

So far, only a few studies have paid attention to the empirical assessment of the effectiveness of online course delivery consisting of engagement from the technical, instructor and participants' dimensions. This study proposes a novel approach to measure the level of effectiveness and identifies the shortfalls that impede good effectiveness in online course delivery.

Psychological constructs like emotional labor, emotional intelligence etc. are gaining importance now to understand employee outcomes such as job satisfaction in a health care setting. The study aims to investigate the relationship between Surface Acting (SA) an emotional labor strategy, and Job satisfaction, and the moderating effect of Emotional intelligence (EI) among practicing nurses.

The authors collected data through self-reporting questionnaires administered to a sample of 141 nurses working in multi-specialty hospitals in a prominent city in India and analyzed using structural equation modeling.

A negative relationship was found between surface acting and job satisfaction but was found positive when EI was introduced as a moderator.

The respondent population was females only and diversity in terms of gender was not obtained.

The study finds significant practical and theoretical contributions to the primary caregivers in a health care setting. It helps to understand the interplay of emotions in this job and use EI as an internal resource to mitigate the harmful effects of continued SA emotional labor strategy to job satisfaction.

It gains a better understanding of the emotion-related parameters in the nursing profession and gives inputs to the community. It throws light on how internal resources can be used for better job satisfaction which in turn leads to better quality care in the health care industry.

Extant literature has been discussing SA as a negative strategy for positive employee outcomes, but the present study gives insights on how this can be mitigated by using EI as a resource.

Eat Right India (ERI) is a flagship initiative by the Food Safety and Standards Authority of India to transform the food system to ensure sustainable, safe and healthy food for all. The study summarizes the strategies, policies and programs using the NOURISHING framework.

This study identifies and reviews documents related to ERI through a comprehensive search of research literature, policy documents and information available from the institutional websites. The NOURISHING framework, which proposes a methodology to categorize, report and monitor actions to promote healthy eating, is used as a guiding framework.

Upon analyzing various strategies put forward by the ERI initiative, it was found that there are many inter-sectoral collaborations, successful institutionalizations and behavioral interventions implemented through the initiative. However, there are a few areas that require attention, which include health taxation, children's exposure to unhealthy food marketing, regulations in food advertisements and the incentivization of retailers and consumers for healthy food delivery and consumption. There is a need for a holistic approach with a congruence of health and food systems in the backdrop of a strong and efficient policy and regulatory framework to tackle the threat of Non-communicable diseases (NCD).

This article contributes to a significant discussion about transforming food systems to tackle (NCDs). It summarizes the existing initiatives in India for establishing healthy food environments and also suggests a few strategies for taking it forward. The study calls the policymakers to action for restructuring the food and health system into resilient, contextually relevant and interoperable mechanisms to address the threat of NCDs.

The purpose of this paper is to understand the customer sentiment towards telemedicine apps and also to apply machine learning algorithms to analyse the sentiments in the adoption during the COVID-19 pandemic.

Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like support vector machine (SVM) and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix.

The paper explores the customer sentiment towards telemedicine apps and their adoption during the COVID-19 pandemic. Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like SVM and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix. The customers who used telemedicine apps have positive sentiment as well as negative sentiment towards the telemedicine apps. Some of the customers have concerns about the medicines delivered, their delivery time, the quality of service and other technical difficulties. Even a small percentage of doctors feel uncomfortable in online consultation through the application.

The primary value of this paper lies in providing an overview of the customers’ approach towards the telemedicine apps, especially during the COVID-19 pandemic.

The present study explores the need to strengthen the organizational learning culture to aid constructive conflict management through high levels of employees’ emotional intelligence.

In the current study, with relevant support from the literature, the authors review the need to develop a high degree of emotional intelligence through knowledge acquisition, sharing and utilization for constructive conflict management in the workplace.

Emotional intelligence significantly aids employees in integrating newly obtained information with the organization’s established processes. Individuals with a high degree of emotional intelligence possess the aptitude to deal with dysfunctional task, process, and relationship conflicts with a centralized focus on organizational learning.

The authors have proposed a learning model which indicates that individuals with a high degree of emotional intelligence possess the aptitude to deal with dysfunctional task, process and relationship conflicts. With a focus on organizational learning, the model can aid managers in developing training initiatives for knowledge acquisition, knowledge sharing and knowledge utilization among employees.

The purpose of this study is to explore and present a clear overview of innovation topics during the first year of the COVID-19 pandemic, and then organise these topics into various analyses.

The authors use multiple language analysis methods, such as text mining and latent Dirichlet allocation topic modelling, to address the research questions. A total of 440 news articles are analysed using Python and Google Colaboratory tools.

The analysis identified 20 innovation topics, highlighted sector-specific analyses and proposed phases of innovation. The authors suggest that each sector develops unique patterns and forms of innovation for long-term benefits and further research. This study expands upon existing literature on innovation and crisis at a theoretical level by incorporating an actor as the agency.

Based on the findings, the authors conclude that the COVID-19 pandemic has prompted businesses to adopt dynamic capabilities. Furthermore, the authors provide several strategic recommendations for addressing the pandemic in the developing context. The study discusses the roles of policymakers, business practitioners and academia in this context as well.

Very few studies specifically explore and identify forced innovation topics in emerging countries during the pandemic. There has been no review of forced innovations implemented in Indonesia using news media as a source. Additionally, this study presents the trajectory of innovation during the time of crises.

This paper aims to present a numerical analysis and comparison of two types of conductive fillers of polymeric composites subjected to lightning strikes.

Two types of conductive fillers were considered in the developed numerical models of electrically conductive composites: carbon nanotubes and polyaniline. For these fillers, the representative volume elements were developed to consider distribution of the particles that ensures percolation and homogenization of the materials within the Eshelby-based semi-analytical mean-field homogenization approach. The performed numerical analyses allowed determination of effective volume fractions of conducting particles, resistivity and conductivity tensors, and finally the current density for the simulated materials subjected to lightning strike.

The obtained results allowed for comparison of electrical conductivity of two simulated materials. It was observed that besides fair results obtained in the previous studies for intrinsically conducting polymers as fillers of composites dedicated for lightning strike protection, the composites filled with carbon nanotubes reveal much better conductivity.

The presented simulation results can be considered as initial information for further experimental tests on electrical conductivity of such materials.

The originality of the paper lies in the proposed design and simulation procedures of conductive composites as well as the comparison of selected composites dedicated for lightning strike protection as the most intensively developed materials for this purpose.

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological advancements lead to enhancements in products and processes. These forced Indian organizations to adopt innovative business strategies in the past 30 years. Meanwhile, the Lean Six Sigma methodology has significantly grown with vast applicability during the past 30 years. Thus, the purpose of this study is to develop the learning on Lean Six Sigma methodology in the Indian context through investigation of literature.

A three-stage systematic literature review approach was adopted to investigate the literature during the present study. In total, 187 articles published in 62 journals/conference proceedings from 2005 to 2022 (18 years) were shortlisted. The first part of the article summarizes the significant milestones towards the quality journey in the Indian context, along with the evolution of the Lean Six Sigma methodology. The second part examines the shortlisted papers on Lean Six Sigma frameworks, their applicability in industrial sectors, performance metrics, outcomes realized, publication trends, authorship patterns and leading researchers from the Indian perspective.

Lean Six Sigma has emerged as a highly acclaimed and structured business improvement strategy worldwide. The Indian economy has seen remarkable growth in the past decade and is one of the fastest-growing economies in the 21st century. Lean Six Sigma implementation in India has significantly increased from 2014 onward. The study revealed that researchers have proposed several different frameworks for Lean Six Sigma implementation, the majority of which are conceptual. Furthermore, the balanced applicability of Lean Six Sigma in manufacturing and service sectors was observed with the highest implementation in the health-care sector. Additionally, the widely adopted tools, techniques along with performance metrics exploring case studies were reported along with a summary of eminent and leading researchers in the Indian context.

This study is confined to reviewed papers as per the research criteria with a significant focus on the Indian context and might have missed some papers due to the adopted papers selection strategy.

The present study is one of the initial attempts to investigate the literature published on Lean Six Sigma in the Indian context, including perspective on the Indian quality movement. Therefore, the present study will provide an understanding of Lean Six Sigma methodology in the Indian context to graduating students in engineering and management and entry-level executives. The analysis and findings on Lean Six Sigma frameworks, research approach, publications details, etc., will be helpful to potential research scholars and academia. Additionally, analysis of case studies on Lean Six Sigma implementation by Indian industries will assist the managers and professionals in decision making.

The study intends to examine the generational differences between GenY and GenZ Indian generational cohorts on the study variables, i.e. core self-evaluations (CSE), team cohesion, organizational culture and team performance. Further, the present research aims to analyze the impact of CSE, team cohesion and organizational culture on team performance as antecedents.

The study has adopted a descriptive cross-sectional survey method where the data were collected from Indian working professionals who belonged to GenY and GenZ generational cohorts. Further, a total of 370 responses were received, and thereafter, the data were analyzed by employing significant statistical tests such as exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and an independent samples t-test.

The study results revealed that GenY and GenZ cohorts significantly differ on CSE, team cohesion and organizational culture. However, no significant difference was reported in team performance between these two generational cohorts. Also, the study results disclosed that CSE, team cohesion and organizational culture positively influence team performance by acting as its determinants.

The study reports differences between GenY and GenZ that would assist managers in effectively dealing with these generational cohorts and formulating human resource (HR) policies that can accommodate the needs of these two cohorts. Additionally, the study benefits managers by highlighting the importance of core-self evaluations, team cohesion and organizational culture to enhance team performance.

Existing research depicts that there lies a paucity of generational studies in the Indian context. The present study attempts to address this lacuna by putting pioneering efforts into this field. The main contribution of the study lies in empirically investigating the Indian generational cohorts (GenY and GenZ) in the organizations. Further, the study has also conceptualized and examined a team performance model by considering factors at three levels (individual, team and organization).