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Purpose: This paper aims to examine whether happiness at workplace (HAW) impacts organisational citizenship behaviour (OCB) and whether this impact can be further improved by promoting learning capabilities in organisations, thus investigating the mediating role of organisational learning capabilities (OLC). Design/methodology/approach: This study was conducted on knowledge-intensive workers (employees of EdTech companies) in India. Responses were collected via questionnaire in online mode, and after discarding the incomplete responses, 500 replies were considered for data analysis with PLS-SEM technique. Findings: The outcomes reveal that the HAW has a significant influence on OCB. The outcomes also reveal that this impact is further enhanced with the presence of OLC, thus confirming that OLC operates as a mediator in the link connecting HAW and OCB. Originality/value: This study makes a distinctive contribution by bringing out the significance of workplace learning in the connection between the workplace happiness and citizenship behaviour of employees that will provide impetus to the practitioners to formulate strategies in such a manner that the employees voluntarily perform the actions beyond their designated roles.

In the present times, there is a high influence caused by social media platforms in case of body image issues faced by an individual. Pregnancy is a stage for women where they go through several mental and physical changes. Realizing the inseparable role played by social media in this aspect, it is an attempt here to determine the effect caused by social media on the body image of pregnant women as well for those in their post-partum stages. The PRISMA method is used by the authors to arrive at 55 research papers from the Scopus databases that are systematically reviewed. The authors' review reveals that social media can have both negative and positive effects on women's perception of body image during pregnancy and the postpartum period. [ABSTRACT FROM AUTHOR]

This paper discusses the relevance and experience of Pure Consciousness through a technique called Transcendental Meditation (TM). It posits the idea that this technique of meditation can prove to be a useful spiritual tool during the current pandemic and talks about its effects on education, mental health, as well as physical health through a review of scientific studies on TM. It establishes the importance of Transcendental Meditation as a technique coming from a Vedic tradition for holistic growth. It further emphasizes the scientific validity of this technique to prove its practical relevance. [ABSTRACT FROM AUTHOR]

Fast Moving Consumer Goods (FMCG) is the 4th largest sector in India and provides employment to around 3 million people (ASSOCHAM, 2020). FMCG industry in India is growing at 9.4% in due quarter ending March, 2021 after a growth at 7.3% in the previous year. India's robust economic growth and household incomes are expected to increase consumer spending to US$ 3.6 trillion by 2020. The retail market in India is expected to reach USD 1.1 trillion by 2020 from USD 840 billion in 2017 with a modern trade expected to grow at 20.25% per annum which is likely to boost revenue of FMCG (ibef.org.2018). The demand for packaged goods segment of FMCG grow by 7.8% in March quarter of 2020, compared to non-food categories which grew only 1.8% in value. This trend indicates people preferred panic buying and stockpiling of food items. Covid-19 impacted very much on FMCG sector and a change is observed not only in the consumer behaviour but also made the companies to reconsider strategies towards consumers acquisition, retention and value proposition (Rajeshwari, 2021). Money would not flow to consumers and thus consumers resort to conservative buying (Gaurav Shetty et al., 2020). The need at present arises more than previous about identifying changing consumer buying behaviour. The paper analyses demographic profile of respondents and its impact on FMCG buying, factors driving the growth of FMCG sector, characteristics, respondents preference of health and skincare brands, and challenges faced by FMCG industry. The data for this research work has been collected through questionnaire and findings have been theoretically presented. The survey reveals that respondents are aware of growth drivers of FMCG, characteristics, preferences and challenges faced by the industry. [ABSTRACT FROM AUTHOR]

Background: There is a constant search across the globe for optimal healthcare solutions with affordability, accessibility, availability, and quality of healthcare services being the burning issue for mankind. The pandemic has further necessitated the need of use of the Telemedicine platform to address healthcare issues which are also non Covid related. Though Telemedicine has been in use for over two decades in India, there have been various challenges and adoption issues which have not yet made the technology an effective solution to address the current healthcare issues. There has been phenomenal growth in the Information and Communication Technology (ICT) over the last decade and its utilization in the healthcare field. Methods: Internet research on the various adoption strategies by healthcare providers coupled with our own experience for using this technology along with guidelines provided by the information and communication technology providers. The Telemedicine Guidelines of 2020 released by the Ministry of Health and Family welfare, India, provides a framework for the implementation of healthcare delivery through this technology. Results: This paper mentions our telemedicine experience in governmental and private institutes and highlights the implementation challenges of this technology and some solutions that made a difference in the execution. However, we discuss to a larger extent the possible challenges and barriers in the implementation of this technology in India. Conclusion: Despite successful work in the field of telemedicine, it is yet to become an integral part of healthcare system because challenges related to adaptability of healthcare users and lack of proper training to fast growing technologies. The future is going to compel the usage of this kind of technology and it is essential for setting up infrastructure and having trained personnel to man these departments to encash the full potential of the telemedicine technology. [ABSTRACT FROM AUTHOR]

Background: Aedes aegypti and Aedes albopictus responsible for transmitting severe viruses, such as dengue, chikungunya, yellow fever, and Zika, pose a significant health threat in India. Challenges in vector control, including insecticide resistance and limited progress in vaccine development, coupled with factors like climate change and urbanization, contribute to an extensive expansion of mosquito habitats and disease transmission. However, the existing literature on how these factors influence mosquito behavior, genetic architecture, and virus transmission patterns in different regions of India is insufficient. Methods: This scoping review conducted a thorough search across online databases, such as Google Scholar, Web of Science, Scopus, and PubMed. The keywords that were used were as follows: “Ae. Aegypti,” “Ae. albopictus,” “breeding habitat,” “feeding preference,” “genetic diversity,” “virus transmission,” “dengue,” “chikungunya,” “Zika,” and “India.” The online search, conducted from October to November 2023, focused on English-language articles from 2013 to November 2023. The inclusion criteria encompassed articles addressing Aedes behavior, genetic diversity, and disease transmission, while the exclusion criteria removed non-Aedes mosquito studies and duplicates. Article quality was manually checked and assessed. Results: The literature survey spanning the past ten years categorized the data into the following four subgroups: “Arboviral disease,” “arbovirus transmission,” “Aedes mosquito behavior,” and “genetic diversity.” The data synthesis emphasized the need to focus on Aedes mosquito breeding habitats and virus transmission patterns in common dengue endemic regions, like Delhi, Tamil Nadu, Kerala, Rajasthan, and Uttar Pradesh in India. However, research on feeding behavior and genetic diversity is scarce. Hence, more research should be conducted in these areas. Conclusion: This analysis highlights critical gaps in our understanding, emphasizing the necessity for detailed mapping, studying virus evolution, socio-epidemiological research, and using advanced technologies for real-time monitoring. Understanding the complex relationships between blood-feeding patterns, host preferences, and diverse breeding habitats is crucial for effective disease control. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic of 2020 was one of the rare events that shocked almost every world government simultaneously, thus creating an unusual opportunity to understand how political institutions shape policy decisions. There have been many analyses of what governments did. We focus instead on what they could do, focusing on the institutional politics of agency – how institutions empower rather than how they constrain, and how they affect public policy decisions. We examine public health measures in the first wave (March-September 2020) in Brazil, India, and the U.S. to understand how the interplay of institutions in a complex federal context shaped COVID-19 policy-responses. We find similar patterns of concentrated federal executive agency with limited constraints. In each case, when federal leadership failed public health policy responses, federated, subnational states were left to compensate for these inefficiencies without necessary resources. [ABSTRACT FROM AUTHOR]

Introduction: Safe disposal of feces is ensured when it is deposited into a toilet, whereas unsafe disposal of child's feces plays a crucial role in disease transmission and environmental pollution. These areas are overlooked by many sanitation promotion interventions. Objective: To determine the effect of positive deviance (PD) approach on safe disposal of child's feces among households who owned a toilet. Materials and Methods: A community-based quasi-experimental study was conducted in the four field practice villages of the Urban Health Training Center, Villupuram, for 18 months. Households who owned a toilet and had a child less than 5 years old were included. After IEC clearance, information was collected from a representative sample of 100 households before intervention and another 100 households after intervention. PD approach was applied for 6 months to promote safe disposal practices in the study villages. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) software (version 24). The Chi-square test was used to determine the significance of difference between baseline and endline data. The effect size was calculated to estimate the magnitude of difference between baseline and endline data. Results: Before intervention, only 3% of households disposed the feces into a toilet, while after intervention, almost 38% of households disposed in the toilet (χ² = 37.39; df = 1; P = 0.001). The effect size (Cramer's V) was found to be 0.43. Conclusion: PD approach demonstrated considerable improvements in safe disposal of child's feces in rural settings. Further, to sustain the behavior change, frequent reinforcement of key messages at frequent intervals needs to be emphasized. [ABSTRACT FROM AUTHOR]

The increased use of smart devices is causing a movement away from traditional learning methods and towards online learning approaches. Concerns have been expressed concerning the harmful impact of increased internet usage among children on a variety of factors, including health, social activities, outdoor participation, academic performance, and behavior. The purpose of this study is to look into how children's internet use affects their academic achievement, outdoor activities, social interactions, behavior, and health. This study presents a model to show the potential correlations between children's internet usage, academic performance, outdoor activities, social interactions, behavior, and health. The study intends to create links and comprehend the total influence of internet usage on children by analyzing these characteristics. A questionnaire with closed-ended questions was used as a survey strategy to collect data for the study. In and around Navi Mumbai, India, 502 responses were collected from parents of school-aged children aged 6 to 12 years. A random sample method was used in the survey research design, and information was gathered using a pre-structured questionnaire. The information gathered was coded and entered into SPSS 20 for analysis. To analyses the data, descriptive statistics and the Chi Square test were used, and conclusions were drawn based on the results. A significant correlation was discovered between children's internet usage, academic achievement, outdoor activities, social interactions, behavior, and health, according to the research. The study's model successfully establishes probable correlations between these factors, and statistical tests confirm these linkages further. Finally, the growing popularity of online learning methods, fueled by the rising use of smart devices, has sparked concerns regarding the influence of internet consumption on children. This study looks into the consequences of internet use on several elements of children's lives. The study proposed model aids in understanding the connections between internet usage, academic performance, outdoor activities, social interactions, behavior, and health. The statistical study supports the probable correlations between these variables, providing important insights into the implications of children's internet usage in the digital age. [ABSTRACT FROM AUTHOR]

Purpose: The COVID-19 pandemic has transformed consumer buying behavior across the world. COVID-19 crisis brought a behavioral change in consumers' attitudes toward health, financial and social well-being. The current research work highlights the factors influencing consumer buying behavior during the COVID-19 pandemic considering saving and safety perspectives. Design/methodology/approach: This study attempts to understand the gap in buying behavior with reference to saving and safety. Survey-based study was conducted during the second phase of COVID-19, and the respondents were those who lived in highly affected COVID cities in India. Exploratory factor analysis and multiple regression analysis were carried out for testing the hypotheses. Findings: Seven factors became the prominent factors in consumer buying patterns during the pandemic. Consumers in the times of COVID-19 pandemic spend only on essential items as compared to nice-to-have and non-essential items. Research limitations/implications: Respondents considered in the research were millennials aged 25–40. The current research is limited to specific geographic location. Practical implications: The study assessed how savings and safety influence consumer buying behavior. The 2S framework model for consumer buying behavior during pandemic has been developed. The findings of the study provides a road map to the companies, policy makers, managers and consumers in understanding the consumer buying behavior during pandemic. Originality/value: The current research work observe the changes in the behavioral patterns of consumers in the context of 2S framework, i.e. saving and safety. This study offer novel contribution as there is no available literature that examined the saving and safety aspects together for consumer buying behavior during crisis. [ABSTRACT FROM AUTHOR]

Background: To make informed decisions on fertility treatment, couples need to understand the treatment options available to them. A wide range of treatment options is available from the traditional and biomedical service providers in India. There is a dearth of research to find out factors that influence the treatment-seeking behavior of couples, particularly in rural areas. Objectives: The study aimed to document the treatment-seeking behavior of women for their infertility problems. Further, the research focused on the socio-economic determinants aecting allopathic treatment-seeking of women and the services needed for couples experiencing infertility in rural India. Methods: The study is cross-sectional. Primary data were collected from the two high infertility prevalence districts. Complete mapping and listing were carried out to identify the eligible respondents. A total of 159 ever-married women (20–49 years) out of 172 identified women were interviewed. Bivariate and multivariate analyses were performed. Results: Among 159 interviewed women, only three did not seek any kind of treatment. Of the 156 women, 63, 65, and 28 women (mutually exclusive) received first, second and third-order treatment, respectively. The number of women decreased in the succeeding phases of infertility. Women aged above 35 years, were significantly less (OR = 0.310, p < 0.05) compared to women aged below 30 years to receive allopathic treatment. The use of allopathic treatment was significantly three times higher among women who were educated (OR = 3.712, p < 0.01) and two times higher among those who were exposed (OR = 2.217, p < 0.5) to media. Further, for those who had felt the treatment was necessary, about 30, 44, 10, and 19% mentioned that due to unaordability, inaccessibility, or inconveniences they couldn’t consult allopathic treatment. Conclusions: Timely diagnosis and appropriate treatment play important role in infertility management. Women who are more educated and are exposed to media tend to consult allopathic treatment. Similarly, time and money spent on care vary significantly and independently by type of treatment and socioeconomic factors. There is a need for mandatory insurance coverage for infertility treatment enacted by the state government. In addition to public services, the private sector and the traditional healers are both important alternative sources of first help. [ABSTRACT FROM AUTHOR]

The purpose of this study is to depict the experience of the people in enduring the quarantine in the global supply chains breakdown during the COVID-19 Pandemic. Quarantined Individual's behavior can be defined as the means by which an individual withstands and behaves in response to the quarantine process. The study was a cross sectional, exploratory study carried out in India. Exploratory factor analysis, confirmatory factor analysis, and correlation were performed from the data. Exploratory factor analysis was carried out to validate the Quarantined Individual's Behavior scale which reveals six factors which include quarantine awareness, quarantine anxiety, personal measures, domestic measures, hygiene measures, and societal measures. The survey was conducted online, 382 responses of the internet users of different groups was taken as valid. The first order confirmatory factor analysis was performed and further the Correlation was performed to check the multicollinearity. Thus, the scale Quarantined Individual's Behavior is proved suitable to be used in different context. [ABSTRACT FROM AUTHOR]

Purpose: The study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT). Design/methodology/approach: We collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM). Findings: Our findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools. Research limitations/implications: Our study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency. Originality/value: Our study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators. [ABSTRACT FROM AUTHOR]