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Although India has a number of health issues, the healthcare facilities in India are insufficient due to poor quality of care. The purpose of this paper is to examine the factors affecting the structural quality of healthcare facilities in India.

This study used the medical facility data from the India Human Development Survey-II, 2011–2012 (ICPSR 36151) (n=4,218). Logistic regression was conducted to predict structural quality of healthcare facilities.

The results suggest that it is difficult to have all standard resources available at health care facilities in India. Surprisingly, having a drinking water source inside the health facility appears to be an indicator of poor structural quality of health care facilities. Having a water source inside a health care facility is associated with not having a separate exam room and not having a sink to wash hands. A higher registration fee was associated with good structural quality and with having a separate exam room and having a sink to wash hands.

This study shows the complexity of providing quality health care to the poor, particularly in developing countries. Research on quality of healthcare facilities in India is needed to improve the health of the population. Little research has been done on the factors influencing the structural quality of the healthcare facilities in India. This study is an important contribution to the current knowledge of structural healthcare facility standards and its influences in India.

Nutrition is a widely known determinant of health and well-being of individuals. Adequate nutrition is dependent on food availability and optimal dietary intake. Rural communities are known to be disadvantaged in comparison with their urban counterparts This study therefore assessed food security and dietary diversity among adults in a rural community in Remo, Ogun State, Nigeria.

Data for the cross-sectional study were collected using a semi-structured, interviewer-administered questionnaire and a 24-h dietary recall. Data were analyzed with SPSS 20. The relevant descriptive and inferential statistics were calculated. Participation was fully voluntary.

The mean age of respondents was 46.7 ± 19.0 years. Only 43.6 per cent of the respondents were food secure; 43.4 per cent were severely food insecure; 30.3 per cent were moderately food insecure, while 26.3 per cent were mildly food insecure. Low dietary diversity was reported among 55.2 per cent of respondents; 41.0 per cent had medium dietary diversity, while 3.8 per cent had high dietary diversity.

This study was entirely quantitative and facility-based, so could not explore some themes to a greater depth. It however adds to the body of knowledge on dietary diversity and food security among patients accessing primary care services at Ode-Remo and its health implications.

Food security among respondents was low and dietary diversity was sub-optimal, a risk factor for both hidden hunger and multi-nutrient under-nutrition. Dietary diversity was significantly different between food secure and food insecure respondents. Community-directed efforts at improving residents’ food security status and dietary diversification efforts will be most appropriate and sustainable, thereby promoting self-reliance and wellbeing.

The use of technology in 4th industrial revolution is at its peak. Industries are trying to reduce the consumption of resources by effectively utilizing information and technology to connect different functioning agents of the manufacturing industry. Without digitization “Industry 4.0” will be a virtual reality. The present survey-based study explores the factual status of digital manufacturing in the Northern India.

After an extensive literature review, a questionnaire was designed to gather different viewpoints of Indian industrial practitioners. The first half contains questions related to north Indian demographic factors which may affect digitalization of India. The latter half includes the queries concerned with various operational factors (or drivers) driving the digital revolution without ignoring Indian constraints.

The focus of this survey was to understand the current level of digital revolution under the ongoing push by the Indian government focused upon digital movement. The analysis included non-parametric testing of the various demographic and functional factors impacting the digital echoes, specifically in Northern India. Findings such as technological upgradations were independent of type of industry, the turnover or the location. About 10 key operational factors were thoughtfully grouped into three major categories—internal Research and Development (R&D), the capability of the supply chain and the capacity to adapt to the market. These factors were then examined to understand how they contribute to digital manufacturing, utilizing an appropriate ordinal logistic regression. The resulting predictive analysis provides seldom-seen insights and valuable suggestions for the most effective deployment of digitalization in Indian industries.

The country-specific Industry 4.0 literature is quite limited. The survey mainly focuses on the National Capital Region. The number of demographic and functional factors can further be incorporated. Moreover, an addition of factors related to ecology, environment and society can make the study more insightful.

The present work provides valuable insights about the current status of digitization and expects to facilitate public or private policymakers to implement digital technologies in India with less efforts and the least resistance. It empowers India towards Industry 4.0 based tools and techniques and creates new socio-economic dimensions for the sustainable development.

The quantitative nature of the study and its statistical predictions (data-based) are novel. The clubbing of similar success factors to avoid inter-collinearity and complexity is seldom seen. The predictive analytics provided in this study is quite elusive as it provides directions with logic. It will help the Indian Government and industrial strategists to plan and perform their interventions accordingly.

The growth and prosperity of a nation depends upon its ability to innovate technologically and engineering has erupted as a fundamental chauffer of this essence, since last couple of eras. But recent decline in engineering admissions triggers the downfall in skilled labor, which can cause recession in industries or can ultimately lead to economic crisis. This study tries to illustrate the present status of engineering-related education, particularly in India and tends to skim the various parameters that affect the enrollment of students among higher education institutes, directly or indirectly.

A unique approach had been unleashed to tackle the nuisance of low admission among Indian engineering colleges or universities. Factors reviewed from the literature were further prioritized quantitatively after distributing suitable questionnaires among a relevant set of engineering aspirants. The “survey form” used was tactically designed on the basis of response surface methodology (RSM), which analyzed the data captured in Minitab statistical software and deducted logical inferences to optimize the “critical-to-admission” (CTA) factors, applicably.

A case study was successfully executed in a North Indian state to prove the efficacy of proposed methodology as far as downtrend in admission was concerned. This study was a rare blend of questionnaire-based work, where design of experiments principles had been utilized exclusively. It provided significant findings on how to earmark different admission-decisive factors along with their required prioritization.

It can further help the universities and higher education institutes to draft their indispensable professional policies and vision–mission statements, appropriately.

Quantitative studies in the service sector (like higher education) are quite rare to see. The present work is not only providing a roadmap for engineering institutions to boost their admissions in upcoming challenging times but it also acts as a light house for new students as it provides necessary guidelines for shortlisting colleges or universities while seeking admission for higher studies.

The on-going COVID-19 pandemic has drastically impacted healthcare systems worldwide. Understanding the perspectives and insights of frontline healthcare workers caring for and interacting with patients with COVID-19 represents a timely, topical, and important area of research. The purpose of this qualitative action research study was to assist one US healthcare system that has an expansive footprint with the implementation of a needs assessment among its frontline healthcare workers. The leadership within this healthcare system wanted to obtain a deeper understanding of how the COVID-19 pandemic was impacting the personal and professional lives of its workers. Further, the organisation wanted to solicit employees’ feedback about what they needed, understand the issues they were facing, and solicit their ideas to help the organisation know where to take action.

This qualitative research employed 45 focus groups, referred to as virtual listening calls (LCs) in this organisation, which were held over a four-week period. A total of 241 nursing staff, representing healthcare facilities across the country, attended 26 of the LCs. A total of 19 LCs were held with 116 healthcare workers who are employed in other clinical roles (e.g. therapists) or administrative functions.

Extending beyond the available research at the time, this study was initiated from within a US healthcare system and informed by the frontline healthcare employees who participated in the LCs, the findings of this study include the perspectives of both nursing and other healthcare workers, the latter of which have not received considerable attention. The findings underscore that the COVID-19 pandemic has wreaked havoc on the personal and professional lives of all of these healthcare workers and has exacted an emotional toll as noted in other studies. However, this study also highlights the importance of listening to employees’ concerns, but more importantly, their recommendations for improving their experiences. Notably, the organisation is in the midst of making changes to address these frontline workers’ needs.

The study, inclusive of nursing and other healthcare staff, demonstrates how an organisation can adapt to a crisis by listening and learning from its frontline employees.

The purpose of this study is to get an understanding regarding the clusters of middle management employees on the basis of their knowledge sharing behaviour. Designing knowledge sharing behaviors with a distinct focus for a specified group of employees can be an effective and productive one. As it is often argued that the cluster of employees labeled as “middle management” is the key player for knowledge sharing behaviors – a subject of this study that intends to contribute to management strategy to enhance organizational effectiveness and subsequently to its knowledge sharing phenomona.

Cluster analysis was adopted as key tool as a part of quantitative method to accumulate the data from 597 employees who are working within the middle management of service sector located in the union territory of India named Jammu and Kashmir.

Three distinct segments namely – “knowledge sharing adepts (KSA),” “knowledge sharing scrupulous (KSC)” and “knowledge sharing servitudes (KSE)” as the prime domains of knowledge sharing behavior are identified.

To draw a narrow focus, the study was limited to the service sector of a union territory in India, hence the findings may not be generalized. Furthermore, as knowledge sharing behavior of individuals is always evolved out of social and historical practices, findings of this cross-sectional study should ideally be needed to be updated time to time through further research.

Cluster dynamicism of knowledge sharing behavior based on the differentiated and specified group of employee functions distinctly which in turn increases the organizational productivity with a particular focus on the mid-management of the service sector – a key managerial implication of this study.

To the best of the authors’ knowledge, this research paper is the first of its kind in Jammu and Kashmir adding value to the international literature in the area of knowledge sharing behaviors of service sector.

The purpose of this study is to conduct a structured literature review of scientometric research of the knowledge management (KM) discipline for the 2012–2019 time period.

A total of 175 scientometric studies of the KM discipline were identified and analyzed.

Scientometric KM research has entered the maturity stage: its volume has been growing, reaching six publications per month in 2019. Scientometric KM research has become highly specialized, which explains many inconsistent findings, and the interests of scientometric KM researchers and their preferred inquiry methods have changed over time. There is a dangerous trend toward a monopoly of the scholarly publishing market which affects researchers’ behavior. To create a list of keywords for database searches, scientometric KM scholars should rely on the formal KM keyword classification schemes, and KM-centric peer-reviewed journals should continue welcoming manuscripts on scientometric topics.

Stakeholders should realize that the KM discipline may successfully exist as a cluster of divergent schools of thought under an overarching KM umbrella and that the notion of intradisciplinary cohesion and consistency should be abandoned. Journal of Knowledge Management is unanimously recognized as a leading KM journal, but KM researchers should not limit their focus to the body of knowledge documented in the KM-centric publication forums. The top six most productive countries are the USA, the UK, Taiwan, Canada, Australia and China. There is a need for knowledge brokers that may deliver the KM academic body of knowledge to practitioners.

This is the most comprehensive, up-to-date analysis of the KM discipline.