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Emotional intelligence and self esteem in cannabis abusers
This study was taken up to investigate emotional intelligence and self esteem in cannabis abusers. Cross sectional hospital based study, Study is based on a sample of 200 individuals. 100 Cannabis dependent, diagnosed based on DSM-IV TR was selected from two different hospitals in north India. 100 healthy matched subjects constituted the control group. Assessment was done using MINI, General Health Questionnaire, Indian Adaptation of Emotional Intelligence Scale and Rosenberg Self Esteem Scale. Significant differences were seen in Emotional Intelligence between the Cannabis dependent group and normal control group. The cannabis dependent groups scored significantly low on emotional intelligence in comparison with control group. Further, cannabis dependent group scored significantly lower on score of self esteem than the normal control group. Relationship between emotional intelligence and self esteem was found to be positively correlated. Our study suggests an association between low emotional intelligence, low self esteem and cannabis dependence and the prevention and treatment of cannabis dependence should lay focus on these factors. Journal of the Indian Academy of Applied Psychology. -
Emotional intelligence and work life balance of women IT professional in Bangalore /
Adarsh Journal of Management Research, Vol.7, Issue 2, pp.241-253, ISSN No: 0974-7028. -
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Emotional Intelligence as a Predictor of Police Operational Stress: A Pilot Study
The present study examined the relationship between police operational stress and emotional intelligence. The study also observed the difference in operational stress and emotional intelligence concerning gender, rank, education, and marital status. The sample included 80 police officers from Bangalore, India. The operational police stress questionnaire developed by McCreary and Thompson (2006) and emotional intelligence scale developed by Hyde et al. (2002) were used to measure police operational stress and emotional intelligence, respectively. Independent sample t-test and Cohens d indicated that differences in gender, rank, education, and marital status had no significant effect on police operational stress. Gender differences had a significant effect on the emotional intelligence factors, empathy, and self-motivation. Differences in rank had a significant effect on empathy, self-motivation, emotional stability, managing relationships, integrity, value orientation, and commitment. Differences in marital status had a significant effect on value orientation. Correlation analysis showed that operational stress had a significant negative relationship with emotional intelligence and its factors such as self-motivation, emotional stability, value orientation, and altruistic behavior. Regression analysis showed emotional intelligence and its factor, emotional stability, as significant predictors of police operational stress. 2021, Society for Police and Criminal Psychology. -
Emotional intelligence, job satisfaction and psychological well-being among nurses in a tertiary care hospital
Background: Emotional intelligence helps in preservation of mental health because of their effective emotional regulation skills. Objectives: We aimed to evaluate the impact of emotional intelligence on nurses job satisfaction and psychological well-being. Methods: This cross-sectional study was conducted in a tertiary hospital and included 120 nurses. Wong and Law Emotional Intelligence Scale, Psychological General Well-being scale and Job Satisfaction Survey questionnaires were used. Results: The study showed a low positive correlation between emotional intelligence and psychological wellbeing (r=0.313) and a low correlation between emotional intelligence and job satisfaction (r= 0.122). The emotional intelligence was significantly correlated to their psychological well-being (9.8%). Conclusion: Nurses with higher emotional intelligence experience greater psychological well-being. We did not find a link between emotional intelligence and job satisfaction. Implementing interventions to enhance emotional intelligence in nurses is crucial for improving psychological well-being and reducing burnout risk. The Author(s). 2024. -
Emotional Landscape of Social Media: Exploring Sentiment Patterns
Sentiment analysis, a pivotal research area, involves exploring emotions, attitudes, and evaluations prevalent in diverse public spheres. In the contemporary era, individuals extensively share their perspectives on various subjects through social media platforms. Twitter has emerged as a prominent microblogging site, facilitating users to express opinions and insights globally. However, disrespectful or unfair comments have prompted specific platforms to restrict user comments, highlighting the need to foster productive discourse on social media. This study addresses this imperative by analyzing sentiments using data from Twitter. This work employed various deep learning algorithms and methods to classify elements as negative or positive. The Sentiment140 dataset, sourced from Twitter, serves as the training data for the models to identify the most accurate classification approach. By delving into sentiment analysis on Twitter, the study contributes to a better understanding of the nuances of online expressions. It aims to enhance the overall quality of discourse in social media. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Emotional Maturity and Self-Perception Among Adolescents Living With HIVNeed for Life-Skills Intervention
Among Adolescents Living With HIV (hereby referred to as ALWH), emotional maturity and self-perception gain importance because they play a decisive role in the overall development into adulthood. This study examines the relationship between self-perception and emotional maturity among ALWH. The sample comprised of 92 male and female ALWH, aged 13 to 18 years. Self-Perception Questionnaire and Emotional Maturity Scale were the tools used. Descriptive and inferential statistics were used for analysis. Correlation analysis showed a negative moderate relationship between Physical Competence and Global Self-Worth dimensions of self-perception and emotional maturity, with regression analysis confirming their predictive abilities. Discussions are focused on the relevance of the findings in terms of a need for a psychosocial life-skills intervention for the population. The Author(s) 2019. -
Emotional needs of women post-rescue from sex trafficking in India
Sex trafficking has persisted a social crime that maintains its status despite being unlawful. Since it prevails, there is a need to investigate it to understand the effects and consequences of the same on the survivors. The current study aims to understand the emotional needs of survivors post-rescue from sex trafficking living in aftercare homes in India and to look into survivors suggestions post-rescue to NGOs, society, family, government and police. It included ten survivors from sex trafficking, ages between 18 to 24years old. They are emerging adults who have experienced sex trafficking for at least one year, regardless of whether trafficking happened in childhood, adolescence or early adulthood, rescued one to five years ago. The researcher used a phenomenological approach. Thematic analysis was employed to identify themes within the data collected from the participants. Findings revealed that survivors had got a better life after the rescue, and they need acceptance, respect, understanding, and they need to develop trust on people around them. They still have many challenges post-rescue such as lack of education and job opportunities. They need guidance to start a new life. Mostly, sex trafficking survivors need safety and protection. 2019, 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Empathy and compassion as fundamental elements of social cognition
This investigation into compassion and empathy highlights their crucial functions in social cognition, which influence engagements in various settings. Cultural dimensions underscore the significance of human connection by highlighting the societal influences that shape empathetic behaviours. The correlation between compassion, empathy, and mental health underscores their capacity to cultivate resilience. They make valuable contributions to communication and conflict resolution within interpersonal relationships. Efficacious interventions provide opportunities for individual development. Ethical considerations emphasize the importance of maintaining a delicate equilibrium between self-care and empathy. Ongoing technological and neurological research promises an expansion of applications. Cultivating kindness and compassion revolutionizes societies, ushering in an era of more significant global interdependence where mutual comprehension underpins all human engagements. 2024, IGI Global. -
Empirical analysis of antecedent and mediators on turnover intention of educators in higher educational institutions
Employees are undoubtedly the key intangible asset to any organization. Fundamentally employees are the building blocks and they are the brand ambassadors of their organization to the society. Therefore, considering competition in today's world, retaining key employees is of genuine concern for every organization. Among many perils that organizations wrestle with, turnover intention is a persistent and pervasive issue that every organization has to face irrespective of the type and size of the organization. -
Empirical analysis of antecedents and mediators of student loyalty among undergraduate business students in Bangalore, India
The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to create sustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to the institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key antecedents to customer loyalty. -
Empirical Analysis of Antecedents and Mediators of Student Loyalty Among Undergraduate Business Students in Bangalore,India
The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to createsustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to newlinethe institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key newlineantecedents to customer loyalty. newlineObjectives - The objectives of this research study are based on theoretical underpinnings in the literature. The main objectives of the study are: 1. To empirically test the proposed structural model of relationships among six constructs: educational service quality, perceived fee fairness, perceived value, student satisfaction, affective commitment, and student loyalty in the undergraduate business programs. 2. To analyze the influence of educational service quality and perceived fairness on student loyalty (ultimate dependent variable). 3. To examine the mediating effect of perceived value, student satisfaction, and affective newlinecommitment on the relationship between educational service quality and student loyalty. 4. To find out the mediating effect of perceived value and student satisfaction on the relationship between perceived fee fairness and student loyalty. 5. To find out the perceptual dimensions of student assessments of educational service quality, fee fairness, value, satisfaction, commitment and student loyalty. Variables of the Study newline1. Educational Service Quality Independent Variable (Exogenous variable) 2. Perceived Fee Fairness Independent Variable (Exogenous variable) 3. Perceived Value Mediating variable (Endogenous Variable) -
Empirical analysis of borrowers' motivation to use online peer-to-peer lending platforms in India
Established on the technology acceptance model, this paper puts forward a model to understand the borrowers' motivation to use (MU) peer-to-peer (P2P) lending platforms. Data from 362 Indian users were employed to test the research model by applying structural equation modelling. The results show that perceived intention, ease of use, and usefulness have significant relation in motivating borrowers to use P2P lending platforms. However, borrowers' perceptions of trust had an insignificant impact on MU the P2P lending platform. When compared to the individual technology acceptance model, the integrated model provides further explanation regarding the motivation of borrowers to use P2P lending platforms. The study contributes to the theoretical area by identifying the factors that motivate borrowers to use P2P lending platforms for their short-term financial requirements, from a unified perspective. In addition, this research provides insights about borrowers' MU P2P lending platforms in India. Copyright 2023 Inderscience Enterprises Ltd. -
Empirical analysis of ensemble methods for the classification of robocalls in telecommunications
With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in our society. However, individuals and groups have subverted the telecommunication devices to deceive unwary victims. Robocalls are quite prevalent these days and they can either be legal or used by scammers to trick one out of their money. The proposed methodology in the paper is to experiment two ensemble models on the dataset acquired from the Federal Trade Commission (DNC Dataset). It is imperative to analyze the call records and based on the patterns the calls can classify as a robocall or not a robocall. Two algorithms Random Forest and XgBoost are combined in two ways and compared in the paper in terms of accuracy, sensitivity and the time taken. 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Empirical Assessment of Artificial Intelligence Enablers Strengthening Business Intelligence in the Indian Banking Industry: ISM and MICMAC Modelling Approach
Considering the context of the issue based on literature survey and expert opinion, this study investigates the drivers of Artificial Intelligence (AI) implementation, which further strengthens the Business Intelligence (BI) in taking better decision-making industries in India. For the purpose of serving the objective of examining the enablers towards having a smarter AI ecosystem in banking, the relevance of identified enablers from exhaustive literature survey were discussed with the experts from banking sector and AI professionals. Based on their opinion, 15 final enablers were defined based on the data collected have been put through Interpretive Structural Modelling (ISM) that reveals the binary relationship between the enablers to draw a hierarchical conclusion, and then assess the enablers about their independence, linkage, autonomous character, and dependence based on their calculated driving and dependence power through MICMAC analysis. The ISM and MICMAC integrated approaches have been used to establish interdependence among the enablers of AI in banking in India context. The study reveals that strong algorithms result in building quality AI information, and also the efforts from management related to commitment, financial readiness towards technological advancement, training, and skill development are quite essential in making the baking system smarter and would enable the industry to take better management decision. 2023 selection and editorial matter, Deepmala Singh, Anurag Singh, Amizan Omar & S.B Goyal. -
Empirical estimation of multilayer perceptron for stock market indexes
The return on investment of stock market index is used to estimate the effectiveness of an investment in different savings schemes. To calculate Return on Investment, profit of an investment is divided by the cost of investment. The purpose of the paper is to perform empirical evaluation of various multilayer perceptron neural networks that are used for obtaining high quality prediction for Return on Investment based on stock market indexes. Many researchers have already implemented different methods to forecast stock prices, but accuracy of the stock prices are a major concern. The multilayer perceptron feed forward neural network model is implemented and compared against multilayer perceptron back propagation neural network models on various stock market indexes. The estimated values are checked against the original values of next business day to measure the actual accuracy. The uniqueness of the research is to achieve maximum accuracy in the Indian stock market indexes. The comparative analysis is done with the help of data set NSEindia historical data for Indian share market. Based on the comparative analysis, the multilayer perceptron feed forward neural network performs better prediction with higher accuracy than multilayer perceptron back propagation. A number of variations have been found by this comparative experiment to analyze the future values of the stock prices. With the experimental comparison, the multilayer perceptron feed forward neural network is able to forecast quality decision on return on investment on stock indexes with average accuracy rate as 95 % which is higher than back propagation neural network. So the results obtained by the multilayer perceptron feed forward neural networks are more satisfactory when compared to multilayer perceptron back propagation neural network. Springer International Publishing Switzerland 2016. -
Empirical evidence on usability of mobiles in health care
Healthcare industry today has seen a lot of innovation and transformation like any other industry. With technological advancements it is growing leaps and bounds. One of the major challenges before the world today is effective management of diseases. The healthcare industry has been benefitted with the usage of information and communication technology (ICT). When integrated properly this technology has the potential to provide solutions to increased demands in quality, efficiency and improved workflow to help streamline healthcare operations. newlineDeveloping countries today are facing an increasing incidence of non communicable and communicable disease. M-health has the potential to extend help in both the fronts. Peep into various scenarios reveal that majority of diseases that kill people in the rural areas are curable with little information and this information dissemination can happen through mobiles which have a deeper penetration than any other technology. Most of the innovations in mobile technologies have not been evaluated beyond the pilot stage. Thus there is a need newlineto evaluate these interventions for them to become acceptable and usable by the patients and healthcare professionals. Various researchers time and again have argued the need for usability studies in healthcare innovations. This study is unique as it caters to both the aspects: technology acceptance and health technology acceptance and the context of usability. There is a large pool of studies which are available for technology acceptance but for healthcare context there has to be a mix of technology acceptance behavior and health behavior newlineacceptance. Researchers like Nutbeam (1998) have highlighted the importance of health behavior which is defined as activities which individuals take up irrespective of their health status for the objective of health maintenance even if such behavior may not be effective in the end. -
Empirical evidence on usability of mobiles in healthcare /
Healthcare industry today has seen a lot of innovation and transformation like any other industry. With technological advancements it is growing leaps and bounds. One of the major challenges before the world today is effective management of diseases. The healthcare industry has been benefitted with the usage of information and communication technology (ICT). When integrated properly this technology has the potential to provide solutions to increased demands in quality, efficiency and improved workflow to help streamline healthcare operations.