Irene Torres, Samantha Kloft, Muskan Kumar, Amita Santosh, Mariana Pinto-Alvarez and Daniel F. López-Cevallos
This study compared approaches to school closures in four Latin American countries (Bolivia, Colombia, Ecuador, Peru), describing the impact on the health and educational…
Abstract
Purpose
This study compared approaches to school closures in four Latin American countries (Bolivia, Colombia, Ecuador, Peru), describing the impact on the health and educational wellbeing of school-age children and youth, and evaluating their approaches in regard to continuing education through the pandemic.
Design/methodology/approach
We collected 75 publicly available documents including scientific and gray literature (government documents and news releases), that referred to school closures and their impact on children’s health and wellbeing. We did thematic analyses using open, axial, and selective coding and applied the latest Health Promoting Schools standards and indicators to the findings.
Findings
Results showed that countries followed epidemiological reasons for prioritizing school closures while adopting some policies that abide by Health Promoting School principles. While they emphasized the need to reopen schools so that instruction could continue, school closures were among the longest in the world. The most significant impacts on wellbeing identified in the four countries were related to food security and mental health.
Research limitations/implications
This study focused on a particular set of documents, and it may not capture the full spectrum of relevant information in different contexts or regions.
Practical implications
By comparing school closures approaches among four Latin American countries, this study highlights the importance of context-specific interventions. In a post-pandemic era, lessons learned from these experiences should help foster more resilient and inclusive educational systems and explore the paths forward for following the new Health Promoting Schools framework in the region.
Originality/value
Cross-country qualitative analyses on this topic are rare. This study adds to the knowledge base by eliciting lessons for future health education research and policy efforts.
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Shalini Srivastava, Muskan Khan, Arpana Kumari and Ajay Kumar Jain
Based on the stimulus-organism-response (SOR) model and Transactional Model of Stress and Coping, the current study aims to investigate the direct effects of workplace bullying…
Abstract
Purpose
Based on the stimulus-organism-response (SOR) model and Transactional Model of Stress and Coping, the current study aims to investigate the direct effects of workplace bullying (WPB) on internal whistleblowing (IW) and workplace withdrawal (WW), as well as the indirect effects, including the mediating role of moral injury (MI) and moderating role of inclusive leadership (IL) in the hospitality sector.
Design/methodology/approach
Three-waves approach was used to collect data from 266 hotel employees in India. AMOS 21 and Macro-PROCESS were used to analyse the hypothesised relationships.
Findings
WPB has a direct effect on IW and workplace withdrawal. MI mediated the relationship between WPB and IW and WPB and WW. Further, IL moderated the relationship between WPB and MI.
Practical implications
The results of the current study have significant policy-related, academic and practical implications. Executives must be aware of WPB incidents and take prompt action to completely stop them.
Originality/value
The study contributes to the literature by analysing the role of MI as a mediator for the relationship between WPB and WPB's coping strategies like IW and workplace withdrawal. This study also answers repeated calls for more research on MI and MI's consequences.
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Muskan Sachdeva, Ritu Lehal, Swati Gupta and Sanjay Gupta
The behavioural decision-making process of individuals highlights the importance of investors’ sentiment and their correlation with the real economy. This paper aims to contribute…
Abstract
Purpose
The behavioural decision-making process of individuals highlights the importance of investors’ sentiment and their correlation with the real economy. This paper aims to contribute to the literature of behavioural finance by examining the influence of contextual factors on investment decision-making.
Design/methodology/approach
Using a questionnaire, a total of 445 valid responses were collected from March to May 2021 through online sources. The current study uses a technique of Fuzzy-analytical hierarchical process (AHP) to assign relative weights to various contextual factors influencing investment decision-making. Harman’s single factor test was used to check common method bias.
Findings
Results of the study reveal that accounting information, self-image/firm-image coincidence, and neutral information as the top-ranked factors in influencing investment decisions, whereas advocate recommendation and personal financial needs emerged as less important factors in influencing investment decisions.
Research limitations/implications
The current study collects data from Indian stock market investors, which may limit the generalization of the study to India only. Moreover, this study is cross-sectional in nature, and there are numerous factors that are not part of the study but might significantly influence the investors’ decision-making process.
Practical implications
The research has implications for both academicians working in the area of behavioural finance and practitioners’ who are active in stock markets, more specifically dealing with retail investors and in the domain of personal finance. Also, the current study will accommodate different groups, i.e. policy makers, financial advisors, investors, investment professionals, etc. in carrying out their professional work.
Originality/value
The current study will provide a comprehensive overview of individual investor behaviour. To the best of the authors’ knowledge, the present study is one of its kind to use the Fuzzy-AHP technique for evaluating the relative ranks of contextual factors influencing investment decision-making.
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Shalini Srivastava, Muskan Khan, Arpana Kumari and Ajay Kumar Jain
Taking the support of social capital theory and conservation of resource theory, the present study explores the mediating role of rumination and moderating role of mindfulness in…
Abstract
Purpose
Taking the support of social capital theory and conservation of resource theory, the present study explores the mediating role of rumination and moderating role of mindfulness in the relationship of workplace ostracism (WO) and workplace withdrawal (WW).
Design/methodology/approach
The data were collected in two waves from 467 employees working in hotels located in Delhi NCR region of India. The hypothesised relationships were investigated by macro-PROCESS (Hayes, 2013).
Findings
The results found a mediating impact of rumination on WO and WW relationship. It further supported the moderating effect of mindfulness in weakening the association between WO and WW via rumination.
Practical implications
This study identified mindfulness as an essential mechanism by which WO may be regulated to control employee's tendency to ruminate. Rumination may initially be prevented in organisations by regulating the primary effect of WO on employees' decisions for WW.
Originality/value
By linking the research model with the social capital theory, the study has contributed to the existing body of knowledge. The study is the first of its kind in India to examine the impact of hypothesised associations on the hotel industry. The findings of the study would help the industry in understanding the role of mindfulness in reducing aberrant behaviours at workplace.
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Dinesh Jaisinghani, Muskan Kaur and Mohd Merajuddin Inamdar
The purpose of this paper is to analyze different seasonal anomalies for the Israeli securities markets for the pre- and post-global financial crisis periods.
Abstract
Purpose
The purpose of this paper is to analyze different seasonal anomalies for the Israeli securities markets for the pre- and post-global financial crisis periods.
Design/methodology/approach
The closing values of six indices of the Tel Aviv Stock Exchange (TASE) of Israel have been considered. The time frame ranges from 2000 to 2018. Further, the overall time frame has been segregated into pre- and post-financial crisis periods. The study employs dummy variable regression technique for assessing different calendar anomalies.
Findings
The results show evidence pertaining to different seasonal anomalies for the Israeli markets. The results specifically show that the anomalies change considerably across the pre- and post-financial crisis periods. The results are more apparent for three anomalies including the day of the week effect, the month of the year effect and the holiday effect. However, anomalies including the Halloween effect and the trading month effect are found to be insignificant across both pre- and post-financial crisis periods.
Originality/value
The study is first of its kind that analyzes different seasonal anomalies across pre- and post-financial crisis periods for the Israeli markets. The study provides newer insights about the overall return patterns observed in different indices of the TASE.
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Muskan Sachdeva and Ritu Lehal
Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of…
Abstract
Purpose
Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of factors influencing investment decision making process of stock market investors. A multi group analysis of gender is also carried out on the proposed model.
Design/methodology/approach
The data of 402 valid responses are collected through structured questionnaires from individual investors of North India. SPSS 23 is used to do the descriptive analysis and AMOS 22 is used to establish the validity of the constructs and for hypotheses testing. For performing multi group analysis, several invariance tests have also been conducted to check the robustness of the model.
Findings
The results reveal that all the factors such as firm image, accounting information, neutral information, advocate recommendation and personal financial needs significantly influence investment decision making concluding image of the firm being the most influential factor and advocate recommendation being the least influential factor for investment decisions. No significant differences between males and females were found.
Research limitations/implications
The current study suffers from the limitation of restricted geographical area of North India. Moreover, there is also a scope to incorporate more demographic factors for predicting investment decisions.
Originality/value
This study incorporates a range of factors which covers all the aspects of investment decision making. This study also highlights the notion of signaling theory, thus contributing to the limited literature in Indian context.
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Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human behaviour…
Abstract
Purpose
Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human behaviour is increasing. This user-generated data are present on the internet in different modalities including text, images, audio, video, gesture, etc. The purpose of this paper is to consider multiple variables for event detection and analysis including weather data, temporal data, geo-location data, traffic data, weekday’s data, etc.
Design/methodology/approach
In this paper, evolution of different approaches have been studied and explored for multivariate event analysis of uncertain social media data.
Findings
Based on burst of outbreak information from social media including natural disasters, contagious disease spread, etc. can be controlled. This can be path breaking input for instant emergency management resources. This has received much attention from academic researchers and practitioners to study the latent patterns for event detection from social media signals.
Originality/value
This paper provides useful insights into existing methodologies and recommendations for future attempts in this area of research. An overview of architecture of event analysis and statistical approaches are used to determine the events in social media which need attention.
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Muskan Singh, Rajat Sharma and Mukul Bhatnagar
Introduction: Data play a very significant role in solving the problem faced at micro and macro levels. Financial inclusion and insurance penetration have been a major problem of…
Abstract
Introduction: Data play a very significant role in solving the problem faced at micro and macro levels. Financial inclusion and insurance penetration have been a major problem of developing economies. These two economic indicators can be strengthened with the emergence of data alchemy.
Purpose: The present research study is conducted with the objective of measuring the impact of technological infrastructure, data alchemist techniques, and regulatory environment on insurance penetration and financial inclusion.
Methodology: To meet the research objectives, data were collected through a random sampling technique from the insurance agents in Mumbai, which can be considered the heart of insurance in India. On the data collected, the partial least squares (PLS) algorithm was applied using smart PLS software. PLS is a statistical method used for predictive modeling and analysis of complex data with multiple variables.
Findings: The final results revealed a significant relationship between data alchemy techniques and financial inclusion. Also, a significant impact on the financial inclusion level of the regulatory environment is also recorded. However, in a developing country like India, currently data alchemy techniques are not significantly impacting insurance penetration.
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Is more child participation always better for child rights advocacy? That is the question I examine, in this chapter, as I analyse advocacy for child rights in India that led to…
Abstract
Is more child participation always better for child rights advocacy? That is the question I examine, in this chapter, as I analyse advocacy for child rights in India that led to the adoption of the landmark Protection of Children from Sexual Offences Act, 2012 (the ‘POCSO Act’). Through ethnographic fieldwork with non-government organisations (NGOs) and a narrative analysis of interviews and awareness material, I tell the story of how a combination of adult-led but child-participatory advocacy brought about a new, de-tabooised way of talking about child sexual abuse. By applying the theoretical lens of ‘critical child rights studies’, I suggest how we can conceptualise a critical perspective on child participation in child rights advocacy. First, adults’ multiple and, at times, conflicting roles in children’s lives – as advocates, protectors, and abusers – needs to be recognised. Second, children should participate in advocacy activities where they can have meaningful influence and be part of the conversation. This may not necessarily occur in adult spaces, where their participation remains token. Finally, I argue that child participation should never turn into a responsibilisation of children.