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Social Inclusion, Equality, Leadership, and Diversity to Attain Sustainable Development Goal 5 in the Indian Banking Industry
The UN SDG 5 aspires to end all kinds of bigotry and abuse of women, although gender bias still exists in India. Most bank employees are men; few women hold senior positions in Indias banking industry because of the countrys early history of limiting chances for women to enter the profession. The solution to this is to hire women in leadership positions from international locations if the banking sector opens. The development of the banking industry in India relies on the best talent. The banking sector must open its position for multinational expatriates to maintain diversity and bring forth the inclusivity of a multi-talented global workforce. The concept of liberalization, privatization, and globalization in the Indian context is limited. Privatization and globalization can only be anticipated if they have a multicultural workforce within the country and globally. 2022 -
Social isolation and loneliness among Generation Z employees: can emotional intelligence help mitigate?
The paper tested a moderated mediation model with social isolation, loneliness, emotional intelligence, and quality of life among Generation Z (Gen Z) employees. Approximately 568 Gen Z employees participated in this study. We used WHOQOL-BREF for measuring quality of life, Schuttes emotional intelligence test, UCLA loneliness scale and social isolation scale from Choi and Noh. We applied the PROCESS macro (model 7) by Hayes for a moderated mediation analysis, using emotional intelligence as a moderating variable and loneliness as a mediating variable between social isolation and quality of life. The results indicate that emotional intelligence moderates the mediating effect of loneliness on social isolation and quality of life and supports hypothesis 2. First, the indirect impact of social isolation on quality of life varies as a function of emotional intelligence moderating the path. Second, both social isolation and loneliness are negative and significant predictors of quality of life. Loneliness is not an individual problem anymore but a public health issue around the world. Individuals who are lonely experience both mental and physical health issues. Strong measures are needed to combat loneliness, and the current research results confirm that emotional intelligence-based interventions will help individuals fight loneliness. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Social media addiction, culture code and mediation effect of mindfulness: A structural equation modelling access
This study has been initiated with a view to understand the social media addiction and its influence on culture codes a mediation effect of mindfulness. The social media addiction would be a very common problem in the social and the organizational set up. The employees are getting distracted easily because of social media addiction. The organisations are taking much action to rectify this problem but end up with the talent lose because the employees are ready to quit the job when they are not allowed to use social media in the organisation. It has been an inevitable problem for the organisations so many techniques have been initiated in order to solve this problem. Many studies are concentrating on mindfulness which is a tool to remove the distractions and to be a focused employee in the organisation. The social media addiction many a times create a toxic culture among the employees. It needs a high attention to be cured. The employee relationship are highly under stake when they are social media addict. This study would attempt to understand the empirical evidence on this relationship by examining the association among addiction in social media and its effect on culture code and mediating role of mindfulness. This study also concentrates on the moderating role of gender on the proposed model. BEIESP. -
Social Media and Steganography: Use, Risks and Current Status
Steganography or data hiding is used to protect the privacy of information in the transit; it has been observed that the information that flows through Online Social Networks (OSN) is very much unsafe. Therefore, people hesitate to communicate their sensitive data on social media.. Most of the information on the online social network is not useful to users and appears to disregard such details. People's actions provided a possibility for digital Steganography through the Internet.. TCPIP covert channels were used for steganography until the last decade. People began to utilize social media as a covert conduit to communicate hidden messages to targeted users as social media grew in popularity. There are numerous Online Social Networks accessible nowadays, ranging from Facebook to the more contemporary Twitter and Instagram. All of them may be utilized as covert channels without the general public noticing. The primary characteristic of steganography is the protection of information privacy; nonetheless, it has been utilized more for illicit message transmission, which is a source of concern. To make matters worse, adversaries are using steganalysis techniques to mess with the concealed data. In this article, we examine the different social media steganography techniques, such as those used on Facebook, WhatsApp, and Twitter, as well as the difficulties that these approaches raise. The positive and negative consequences of social media, as well as its current state, are discussed in this study. This paper discusses how the performances of Steganography methods may be assessed using the Entropy value of the Stego object. A look of the three features of steganography. It has been given with undetectability, robustness, and payload capacity. Finally, the paper's concept's future scope is explored. 2013 IEEE. -
Social Media Dependency and Facebook Usage among the Older Adults of Kerala
Social media has become an integral part of modern society, with people of all ages using various platforms to connect, share information, and stay up-to-date on current events. However, there has been a recent trend of increased Facebook usage among older adults, which has raised concerns about social media dependency. The current study explores the trends in social media dependency and Facebook intensity among older adults of Kerala. The present study employed a quantitative research design and the sample consisted of 416 older adults, aged above 60 years. Two scales were used to collect data: the Social Media Dependency Scale (SMDS) and the Facebook Intensity Measure (FBI). Frequency and percentage analysis, Spearman's Rho, Kruskal-Wallis H test, and Mann-Whitney U test were carried out using SPSS (Version 23) for deriving results. Those individuals who are more dependent on social media are also more likely to engage in high levels of Facebook activity. A good majority of the participants were found to be using social media and Facebook for more than 3 hours in a day and having more than 400 friends. Social media dependency and Facebook intensity were reported to be high in urban localities, South Kerala having significantly higher rates of social media dependency when compared to North and Central regions. Social media dependency was found to be high among males, whereas no difference was in Facebook intensity among male and females. Implications: Given the importance of social connections for the well-being of older adults, it is critical to understand the impact of social media use on their lives and develop strategies to promote healthy social media behaviour. 2023 Redfame Publishing Inc.. All Rights Reserved. -
Social media disorder in relation to device screen time and autosuggested social media content engagement; [Zislost zp?soben?asem stren na socinh sh v souvislosti s automaticky generovan obsahem na socinh sh]
Though emerging technology offers people a comfortable life, a few adverse effects also exist. There was a rapid increase in mobile phone usage and internet consumption during and post the Covid-19 pandemic, which reached the extent of addiction among youths. Thus, this study examines social media disorder among adolescents in relation to the time spent on a computer or smart-phone device screen and engaging in autosuggested social media content. The study included 235 responses from students in higher secondary schools of Bangalore, India. The study found a significant positive correlation between device screen time, autosuggested social media content engagement (ASMCE), and social media disorder. Multiple regression analysis indicated that 56.5% of social media disorder among adolescents is due to the time spent on a computer or smart phone device and autosuggested social media content engagement. The study did not measure any differences in social media disorder based on the demographic details of the study participants. As social media disorder affects the mental health of adolescents, especially in post pandemic times, and further affects their academic performance, the researchers suggest that future studies explore the other factors causing social media disorder. 2023 The Authors. -
Social media marketing and ghost shopping approach; a new business tool
Research motivation: The researcher is a mystery shopper who has vast experience in various field analyses. The researcher has taken up a few good assignments in various domains, which has given him a good experience. Thus, this experience has motivated the researcher to explore how mystery shopping is used in social media and how the process works in reality. The connectivity between mystery shopping and social media is a new emerging topic and only a very few research work is seen and hence this gap has been used to proceed with this research title. Research materials and methods: The research work makes use of quantitative and qualitative techniques to draw and analyse the data. The respondents for this research work is mystery shoppers, market research agencies, experts in marketing research and mystery shopping, a few marketers who deal with digital marketing etc. The tool used for this research is factor analysis for quantitative analysis and various qualitative techniques to determine the experience, observations, past case studies and literature works. Research outcome: From the quantitative techniques, it is clear that customer experience and relationship between the sales representatives and the customers dealing through online marketing plays an important role in the success of social media marketing which the mystery shoppers observe. Based on the observations a detailed report is submitted which will enhance the firms to form strong strategies. Future scope: The future researchers can analyse on the related aspects of mystery shopping and social media. The problems faced by mystery shoppers with regard to social media observations, the skills needed to deal with digital tools can be researched. IAEME Publication. -
Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the gap between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information. 2022 IGI Global. All rights reserved. -
Social performance and sustainability of Indian microfinance institutions: an interrogation
This paper has come forward from the research proposal to understand the effect of social performance on the sustainability of microfinance institutions. It has been revealed that the conventional method of assessment of financial institutions is not applicable to the microfinance sector. Performance measurement of microfinance institutions has to be different from that of other financial institutions because of the social aspects involved besides profitability. Social performance has now become part of microfinance business along with business sustainability. Our whole study course is entitled Effect of social performance on the sustainability of microfinance institutions. In this paper, we elucidate the topic, find the underrepresented research areas and formulate a research hypothesis for understanding the relationship between social performance and the sustainability of microfinance institutions. 2016, 2016 Informa UK Limited, trading as Taylor & Francis Group. -
SOCIAL PROTECTION THROUGH MGNREGS: A STUDY OF RAYALASEEMA REGION IN ANDHRA PRADESH
This article attempts to explain how far MGNREGS provides social protection for marginal and disadvantaged sections. To study this, the present paper focuses on backward regions that are in dire need of government support through welfare measures. The bottom sections of society should be given priority while implementing different social welfare schemes like employment guarantee, food security, pensions, scholarships, etc. In this context, this article aims at analysing the role of MGNREGS in providing social protection for different sections of society. The role of MGNREGS can be understood through employment and income generated by the households participated. How many rural households depend on MGNREGS for employment? How much employment was generated under MGNREGS in the backward regions? What is the contribution of MGNREGS to the household income? To what extent is MGNREGS providing social protection to the rural poor compared to other welfare schemes? The present article explores answers to these questions with reference to the Rayalaseema, one of the most backward regions in Andhra Pradesh. 2022 National Institute of Rural Development. All rights reserved. -
Social support and help-seeking worldwide
Social support has long been associated with positive physical, behavioral, and mental health outcomes. However, contextual factors such as subjective social status and an individuals cultural values, heavily influence social support behaviors (e.g., perceive available social support, accept support, seek support, provide support). We sought to determine the current state of social support behaviors and the association between these behaviors, cultural values, and subjective social support across regions of the world. Data from 6,366 participants were collected by collaborators from over 50 worldwide sites (67.4% or n = 4292, assigned female at birth; average age of 30.76). Our results show that individuals cultural values and subjective social status varied across world regions and were differentially associated with social support behaviors. For example, individuals with higher subjective social status were more likely to indicate more perceived and received social support and help-seeking behaviors; they also indicated more provision of social support to others than individuals with lower subjective social status. Further, horizontal, and vertical collectivism were related to higher help-seeking behavior, perceived support, received support, and provision of support, whereas horizontal individualism was associated with less perceived support and less help-seeking and vertical individualism was associated with less perceived and received support, but more help-seeking behavior. However, these effects were not consistently moderated by region. These findings highlight and advance the understanding of how cross-cultural complexities and contextual distinctions influence an individual's perception, processing, and practice of social support embedded in the changing social landscape. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Social Work Intervention Research in Child Sponsorship Programs: Enhancing Psychological Well-being of Marginalized Adolescents
The Child Sponsorship Program (CSP) is critical to enhancing the objective and subjective well-being of enrollees. Meanwhile, social work interventions emphasize scientific approaches aimed at empowering marginalized populations. This intervention research (IR) was focused on raising the psychological well-being (PWB) of adolescents in a prominent CSP located in Kochi, Kerala. Preliminary findings from a pilot study underscored the need for intervention, and subsequent Delphi survey results guided the formulation of an intervention strategy. Capitalizing on the transformative power of peer groups, IR implemented a social group work intervention to enhance adolescent PWB in CSP. Using a nonequivalent comparison group interrupted time-series design, the PWB of participants in the intervention group (IG, N = 20) and comparison group (CG, N = 20) was measured and compared. Ryffs PWB scale with 42 items served as the assessment instrument. Descriptive statistics confirmed the normal distribution of baseline data for all participants (N = 40), while repeated measures ANOVA in SPSS 25 validated the alternative hypothesis, indicating significant differences in PWB measures over time within IG and between IG and CG. Additionally, along with statistical evidence of intervention effectiveness, this study used a qualitative design for ongoing evaluation of the intervention process, providing insights for program refinement and demonstrating intervention outcomes. By defining a model for group work intervention among CSP adolescents to improve PWB, this study underscores the important role of social work interventions in empowering marginalized populations. The Author(s) 2024. -
Social-cognitive Skills Training on Interpersonal Understanding of Social Norms During Adolescence
Background: Social-cognitive skills training (SCST) in a therapeutic setup can result in more positive outcomes when incorporated with psychotherapy, especially among adolescents with minor social-cognitive impairments in their social interactions. It may result in multifarious benefits to mitigate their social-cognitive dysfunction. This study aimed to identify the effects of SCST on interpersonal understanding of social norms in adolescents with low social cognition. Methods: In this quasi-experimental research, 80 adolescents (1019 years) with low social cognition, no previous experience of skills training, and absence of any psychological disorders, especially those that affect their social-cognitive functioning, with assent from the participants and written informed consent from the parents/guardian and a score below 58 on the Need For Social-Cognition Scale, were included. They were randomly allocated into SCST or waitlist control group. SCST consists of 20 sessions with indoor activities, games, and discussions, and it has been arranged for 1 hour per 3 days a week for 3 months. Edinburgh social cognition test (ESCoT) was used to assess the degree of interpersonal understanding of social norms among adolescents as part of pre and posttests. Results: The Wilcoxon Sign Ranked Test showed that the interpersonal understanding of social norms after SCST is significantly higher than the interpersonal understanding of social norms SCST with a large effect size. The mean (standard deviation) scores in the ESCoT test improved significantly (P < 0.001) following [W = 0.001, P <.001, r = 1.000]. Conclusion: SCST effectively improves the interpersonal understanding of social norms, an essential developmental milestone during adolescence. It highlights the importance of focusing on mental health as a developmental asset that can influence social-cognitive development in the future. 2024 The Author(s). -
Socialization tactics and new entrants adjustments in the information technology context /
PES Business Review, Vol. 8, Issue 1, pp.19-28 ISSN No. 0973-919X -
Socio-economic development of Darjeeling Himalayas: Categorical principal component analysis (CATPCA) and ordinal logistic regression (OLR)
The measurement of regional development plays a crucial role in improving the quality of life of local communities. However, the process of analyzing the regional progress was challenging as regional development was presented as a multidimensional concept. Nonetheless, the study's primary objective was to understand the indicators that genuinely reflect the development process's various dimensions in the northernmost district of West Bengal, Darjeeling Himalayas. Seven dimensions of development, namely psychological well-being, health, education, governance, safety and crime, energy and environment and standard of living were identified for analyzing the socio-economic development of the Darjeeling Himalaya. A questionnaire was framed and circulated in the region for the collection of data. By applying Categorical Principal Component Analysis (CATPCA), the data collected was aggregated into the above mentioned seven dimensions of development and analyzed the relationship between these development indicators through the Ordinal Logistic Regression model (OLR). The results showed that education and governance indicators had a significant impact on psychological wellbeing. Governance was affected by psychological wellbeing, while the standard of living was affected by psychological wellbeing and health indicators in the region. 2021 The Society of Economics and Development, except certain content provided by third parties. -
Sociocultural aspects of the medicalisation of infertility: a comparative reading of two illness narratives
This paper is a comparative reading of variations in the medicalisation of infertility caused by sociocultural aspects, in two illness narratives by patients: Elizabeth Katkins Conceivability (2018), a story of navigating a fertility industry with polycystic ovarian syndrome and antiphospholipid syndrome in America and Rohini Rajagopals Whats a Lemon Squeezer Doing in My Vagina (2021), a discussion from India of a growing awareness of medicalisation in treatment of unexplained infertility. For this purpose, it first charts scholarship on illness narratives and medicalisation, noting a historical association. Following this, it shows how infertility, a physiological symptom of reproductive incapacity or failure to show clinical pregnancy, is generally medicalised. This paper reads the texts as showing hitherto unaddressed sociocultural aspects of infertilitys medicalisation. At the same time, drawing from existing sociological and anthropological scholarship, it shows how a reading of sociocultural aspects in medicalised infertility nuances understanding of its medicalisation. This comparative reading attends to sociocultural values and norms within the texts, including pronatalism, fetal personhood, kinship organisation, purity/pollution, individual reliance, sacred duty and so forth. It draws from scholarship on embodiment, rhetorical strategies and the language of medicine. It also shows how a patients non-medicalised, affective history ofdeep sickness caused by the biographical disruption of infertility is not that of apoor historian. In laying out the particularisation of such sociocultural values and norms across America and India, medicalisations migration from its origins to the margins reveals subjectivised, stratified reproduction in infertility illness narratives. This paper is part of a turn in scholarship away from understanding the medicalisation of infertility as naturalised and decontextualised. Author(s) (or their employer(s)) 2024. -
Socioeconomic determinants of COVID-19 in Asian countries: An empirical analysis
The spread of coronavirus disease, 2019, has affected several countries in the world including Asian countries. The occurrences of COVID infections are uneven across countries and the same is determined by socioeconomic situations prevailing in the countries besides the preparedness and management. The paper is an attempt to empirically examine the socioeconomic determinants of the occurrence of COVID in Asian countries considering the data as of June 18, 2020, for 42 Asian countries. A multiple regression analysis in a cross-sectional framework is specified and ordinary least square (OLS) technique with heteroscedasticity corrected robust standard error is employed to obtain regression coefficients. Explanatory variables that are highly collinear have been dropped from the analysis. The findings of the study show a positive significant association of per capita gross national income and net migration with the incidence of total COVID-19 cases and daily new cases. The size of net migration emerged to be a potential factor and positive in determining the total and new cases of COVID. Social capital as measured by voters' turnout ratio (VTR) in order to indicate the people's participation is found to be significant and negative for daily new cases per million population. People's participation has played a very important role in checking the incidence of COVID cases and its spread. In alternate models, countries having high incidence of poverty are also having higher cases of COVID. Though the countries having higher percentage of aged populations are more prone to be affected by the spread of virus, but the sign of the coefficient of this variable for Asian country is not in the expected line. Previous year health expenditure and diabetic prevalence rate are not significant in the analysis. Therefore, people-centric plan and making people more participatory and responsive in adhering to the social distancing norms in public and workplace and adopting preventive measures need to be focused on COVID management strategies. The countries having larger net migration and poverty ratio need to evolve comprehensive and inclusive strategies for testing, tracing, and massive awareness for sanitary practices, social distancing, and following government regulation for management of COVID-19, besides appropriate food security measures and free provision of sanitary kits for vulnerable section. 2020 John Wiley & Sons Ltd -
Sodium alginate/bismuth (III) oxide composites for ?-ray shielding applications
In the present work, we have explored the efficacy of bismuth (III) oxide (Bi2O3) loaded, calcium ion cross-linked solution cast sodium alginate composite films for radioprotective applications. Calcium ion cross-linking increased the water and chemical resistance, which further improved on introduction of Bi2O3 into the composites. The 40 wt% Bi2O3 loaded films showed good heat resistance with the peak degradation temperature reaching as high as 251C. The Bi2O3 loaded composites showed enhanced tensile strength (TS) and Youngs modulus (YM). Compared to high-modulus polymers like epoxy, high-density polyethylene (HDPE) and poly (vinyl chloride) (PVC), these exhibit relatively greater extent of stretching before breaking. The ?-ray attenuation experiments showed that mass attenuation coefficients of the composites at various ?-ray energies increased with filler loading. These composites are effective in shielding ?-rays from radioactive sources like 137Cs, 22Na, 133Ba, and 60Co that are widely employed in several medical and industrial applications. The overall enhancement in thermal, mechanical, and radiation shielding characteristics of the composites may be attributed to the uniform distribution of the fillers in alginate matrix. These nontoxic sodium alginate/Bi2O3 composites can be used as soft and biodegradable radiation shields, which may be processed to wearable forms. 2020 Wiley Periodicals LLC. -
Soft Computing Approaches for Maximum Power Point Tracking of Solar PV System
Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system. 2023 Praise Worthy Prize S.r.l.-All rights reserved. -
Soft excess in AGN with relativistic X-ray reflection
The soft X-ray excess, emission below (Formula presented.) 2keV over the X-ray power-law, is a marked spectral component in the X-ray spectra of many Seyfert1 galaxies. We investigate if the observed soft X-ray excess in a sample of Seyfert1s is in accordance with the prediction of the relativistic reflection model by analyzing the XMM-Newton and NuSTAR spectra. The fractional difference in the soft excess (SE) obtained from the blurred reflection emission predicted (from NuSTAR) and the observed (from XMM-Newton) luminosities show that the reflection model underestimates the SE emission in our sample. The results point to alternative models (for example, warm Comptonization) to explain the soft X-ray excess in AGN. 2023 Wiley-VCH GmbH.