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Designing culture through the human resource functions
Human resource management now plays an active strategic partner role instead of being a passive observer. Today, the HR department of an organization is expected to drive organization performance through the biggest strength of the firm; its people. It is expected that all HR functions will contribute to the company's strategic goals and foster an inclusive and productive work environment. The current study is based on data gathered from the hotel industry and aims to comprehend how HR functions impact various aspects of organisational culture. The findings point to important connections between specific HR procedures and cultural elements. The results offer insight into how HR specialists can use their roles to establish the ideal atmosphere within the company. 2025, IGI Global Scientific Publishing. -
Ethnographic research on primary education of tribals: a scoping review
Ethnographic research offers comprehensive learning outcomes by examining the socio-emotional, economic and cultural components crucial for comprehending marginalized groups experiences. This study aims to examine the methodologies used in studies and the gaps in the literature on the primary education of tribal communities, highlighting the limitations of the current research approaches. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) of Arksey and OMalleys six-step framework, the scoping review has considered 19 studies of 406 research articles published from 2015 to 2024 across the databases Scopus, JSTOR, and ERIC. The review highlights that most of these studies used descriptive survey design, mixed-method research design, and ethnographic research design. While the first two document barriers, the ethnographic studies provide richer cultural in-depth also. However, gaps in the literature include a lack of interventions for specific tribes, such as the Mannan community in Kerala, India, and the integration of indigenous knowledge, which is only possible through cultural inclusiveness. The findings suggest that future research should prioritize interdisciplinary collaboration and teacher training in multilingual education (MLE) through ethnographic methods for developing culturally sensitive interventions. These recommendations aim to contribute to developing more culturally inclusive educational practices and policies in the primary education curricula. 2026, Intelektual Pustaka Media Utama. All rights reserved. -
Actualization of educational vision of chavara by principals of congregation of mother of carmel (CMC) school as perceived by teachers inrelation to transformational leadership organizational socialization and organizational learning
Education is one of the most powerful instruments of desirable social changes and transformation. It plays a fundamental role in human, social and economic development. St. Kuriakose Elias Chavara. a transformational leader of the 19th Century strived to transform the society through education. This educational vision immensely contributed in the development of the archaic society of Kerala. The education envisaged by Chavara was a flawless blend of intellectual, practical and spiritual formation. He aimed at the growth of the individual from the narrow boundary of self and doing service for the society. The religious Congregations (CMI and CMC) which were established by Chavara play a vital role in the field of education. These Congregations made its mark in the Indian educational system by their systematic and excellent performance through their educational institutions. In this study, the author explores the Actualization of the Educational Vision of Chavara by the principals in CMC schools. Descriptive survey method was used in the study. The population consisted of all the teaching faculty members of CMC schools and the sample size was 844. The study includes the independent variables such as Transformational Leadership, Organizational Socialization and Organizational Learning and its influence in actualizing Chavara vision by the principals. The finding of the study reveals that, the independent variables channelize the actualization of Chavara vision in CMC schools. The study throws light on the educational field of the CMC Congregation and inspires to renovate the present educational system on the basis of Chavara vision. -
Actualization of educational vision of Chavara by principals of congregation of mother of carmel(CMC) schools as perceived by teachers in relation to transformational leadership, organizational socialization and organizational learning
Education is one of the most powerful instruments of desirable social changes and transformation. It plays a fundamental role in human, social and economic development. St. Kuriakose Elias Chavara, a transformational leader of the 19th Century strived to transform the society through education. His educational vision immensely contributed in the development of the archaic society of Kerala. The education envisaged by Chavara was a flawless blend of intellectual, practical and spiritual formation. -
Graph Convolutional Networks for Predicting Postpartum Depression: A Symptom-Based Analysis
Postpartum Depression (PPD) is a serious mental health condition affecting new mothers and aligns with the United Nations Sustainable Development Goal (SDG) 3: Good Health and Well-being, which stresses early detection and intervention. This research investigates the use of Graph Neural Networks (GNNs)specifically, Graph Convolutional Networks (GCNs)to predict PPD by modeling the interdependencies among symptoms. A preprocessed dataset of 1,503 records was utilized, involving categorical encoding, missing value imputation, and feature standardization to enhance model reliability. The GCN model was built using a K-Nearest Neighbors (KNN)-based graph structure, enabling the network to learn intricate relationships between symptoms. Experimental results showed that the GCN achieved an accuracy of 89%, identifying key predictors such as trouble sleeping, guilt, irritability, difficulty concentrating, and anxiety. The use of SHAP explainability tools further validated these predictors, enhancing interpretability and revealing the models decision-making process. While traditional models like Random Forest achieved higher classification accuracy (95%), GCN offered valuable insights into the underlying structure and relationships among symptoms, supporting its potential in mental health diagnostics. Future work may explore hybrid architectures and larger datasets to further improve the models predictive performance and contribute to AI-driven early screening strategies for PPD. 2025 IEEE. -
The Impact of Government Initiatives on Sustainable Business Practices
This paper examines the evolving role of government initiatives in fostering sustainable business practices, with a focus on Corporate Social Responsibility (CSR) as a critical tool for aligning economic growth, social equity, and environmental sustainability. By analyzing the historical evolution of CSR and its current framework in India, including its mandatory implementation under the Companies Act, 2013, this study highlights the multidimensional aspects of CSR: environmental, ethical, philanthropic, and economic responsibilities. It also explores the strategic integration of CSR to meet stakeholder expectations, enhance competitiveness, and mitigate risks, illustrating its potential as a driver for sustainable development. The research further addresses mechanisms for legal compliance, inspection, and enforcement, offering insights into the challenges and opportunities for businesses in adhering to CSR norms while contributing to broader societal goals. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Womens Economic Empowerment and Domestic Violence: Evidence from the Indian State of Kerala
Domestic violence is a serious issue that affects countless women around the world. Kerala boasts an admirable history of high literacy rates, good health and sanitation standards, low infant mortality rates and impressive average life expectancy. Despite these advancements, enduring social problems such as gender discrimination and domestic violence still exist. Over the last two decades, domestic violence has been a significant issue for women in Kerala. The basic objective of this study is to assess the impact of womens economic empowerment on domestic violence. This study employed stratified sampling methods to gather household-level data using pre-designed questionnaires. The study found a weak link between economic empowerment and domestic violence. Womens education and husbands characteristics, notably alcohol usage, have a significant impact. This emphasises the importance of interventions that promote collaborative decision-making in order to combat domestic abuse effectively. 2026 selection and editorial matter, Samapti Guha and Chirodip Majumdar; individual chapters, the contributors. All rights reserved. -
Examining the Relationship Between Acceptance of Technology Integration and Dimensions of TPACK Among Higher Secondary School Teachers in Kerala
The study uses the Unified Theory of Adoption and Use of Technology (UTAUT) to investigate how higher secondary school teachers in Kerala, India, connect to Technological Pedagogical Content Knowledge (TPACK) and technology adoption. Using 496 teachers from diverse backgrounds, the study revealed some important positive correlations between TPACK characteristics and UTAUT results. Strong technologically minded teachers are interested in incorporating technology into the classroom. Crucially for the quality of education, PK, PCK, and CK have a modest influence on technology acceptance. The study emphasises the need for specific professional development and supportive policies to fit Kerala's unique educational scene. With consequences for the whole educational scene, TPACK can encourage improved technology acceptance, particularly in sectors connected to technology. Future research should look at long-term changes in technology use, geographical comparisons, and how new technologies impact teaching approaches. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection
Skip to main content Taylor & Francis Group Logo T&F eBooks ? Search for keywords, authors, titles, ISBN Advanced Search About Us Subjects Browse Products Request a trial Librarian Resources What's New!! HomeComputer ScienceArtificial IntelligenceApplying Metaverse Technologies to Human-Computer Interaction for HealthcareMonitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection Chapter Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection ByMeera Mathew Book Applying Metaverse Technologies to Human-Computer Interaction for Healthcare Edition1st Edition First Published2025 ImprintAuerbach Publications Pages18 eBook ISBN9781003491668 Share Share ABSTRACT The virtual world will be altered significantly as a result of the incorporation of metaverses into digital communication. Immersive, cooperative, and resilient 3D cybernetic environments that surpass conventional web surfing define the metaverse. Modern technology and dynamic forces that fortify the metaverse are what propel this advancement, since they allow its hybrid virtual-physical nature to be effortlessly integrated. The development and fulfilment of virtual world technologies require core capabilities including blockchain, artificial intelligence (AI), cloud computing, and 5G and 6G connection. Web3, which uses blockchain technology and smart contracts to create a decentralized, user-centric Internet, is all about the practical and geographical visibility of metaverses. Nonetheless, these ideas are connected to the broader evolution and do not conflict with one another. Because of its multiple functions, the metaverse may be used for a wide range of tasks. The gaming and entertainment sectors employ the metaverse in some of its most well-known uses. Users may enjoy a vibrant and imaginative setting in the metaverse where they can play games, watch films, go to concerts, etc. Because it may offer instructors and students a virtual environment where it is feasible to conduct training and experiments that cannot be experienced in the actual world owing to potential hazards or expenses, the metaverse can have various applications and consequences in the field of education. The metaverse will also benefit corporate growth, employee cooperation and communication, the creation of more realistic simulation models for urban development, process optimization, and many other areas. However, there are drawbacks to the metaverse as well. These include addictiveness, impairment of the ability of the mind to discriminate between actual reality and augmented or virtual reality, privacy protection, safeguarding people's digital identities, information confidentiality, and the requirement for sophisticated hardware and software infrastructure in order to receive, send, simulate, and process information in real time. The Indian Information Technology Act of 2000 and its implementing rules created India's current data protection system, which places requirements on businesses managing sensitive and personal data. Businesses must create organizational safeguards to protect data and get consent before processing any data. As the metaverse integrates more deeply into our digital world, a single legal framework is critical for managing the convergence of artificial intelligence and citizen privacy. In the light of newly introduced Indian Digital Personal Data Protection Act (DPDP Act) of 2023, data fiduciaries, data holders, and data processors have to be cautious of data collection and dissemination, and for this reason, metaverse app developers, app retainers, and app disseminators need special attention. Companies that employ moral artificial intelligence strategies are more prepared to navigate moral and societal traps associated with conducting business in the metaverse. 2025 selection and editorial matter, B. Sundaravadivazhagan, Balasubramaniam S, Pethuru Raj, and K. Shantha Kumari. -
Attitude towards the medical profession among higher secondary students in relation to medical aptitude, parental influence, peer influence and perceived social expectations
Attitude towards the Medical Profession includes concepts, motives or beliefs associated with the profession of medical science. Medical science is a profession that challenges the intellectual competency of the aspirant owing to the strenuous demands of the career. It is essential that possession of an appropriate attitude and a realistic understanding of the demands of medical science be a pre-requisite, especially if the higher secondary adolescent aspires this as his or her vocation for life. As theformation of attitude is based on several intrinsic and extrinsic factors, a profession like medical science faces stiff competition among candidates to qualify with high expectations from family and society. The current study throws light on the attitude of higher secondary students towards the profession of medical science in relation to medical aptitude, parental influence, peer influence and perceived social expectations, as the independent variables. It aimed to explore the role played by medical aptitude, parental influence, peer influence and perceived social expectations in the formation of attitude towards the medical profession and the differences in the formation of this attitude among higher secondary students based on their gender and type of pre-university college that they belonged to. The study adopted was a descriptive study-cum-survey that employed a quantitative approach using the paradigm of post-positivism. The participants for the study comprised of 396 second-year higher secondary students from pre-university colleges of Bangalore South, who were
selected by convenience sampling method. -
Attitude towards the medical profession among higher secondary students in relation to medical aptitude, parental innfluene, peer influence and perceived social expectations
Attitude towards the medical profession includes concepts, motives or beliefs associated with the profession of medical science. A profession that challenges the intellectual competency of the aspirant to qualify- with soaring expectations from family and society- the demands of the career entail the individual to possess an appropriate attitude and a realistic understanding of it. The current study explores the role of medical aptitude, parental influence, peer influence and perceived social expectations in the formation of attitude towards the medical profession and their differences among higher secondary students based on their gender and type of pre-university college. The study-cum-survey employed a quantitative approach using the paradigm of post-positivism. The participants comprised of 396 second-year pre-university students from colleges of Bangalore South, who were selected by convenience sampling, with Physics, Chemistry and Biology as their core subjects. The findings reveal peer influence to be essential in the development of professionalism and a sense of service mindedness. Parental influence and the higher secondary adolescent s perceived social expectations act as significant predictors in the formation of favourable attitude. However, gender and the type of pre-university colleges bear no significant difference with respect to their attitude towards the profession. The study has set a base on what needs to be focussed in our country on the next generation of medical professionals. It is hoped that educational and medical institutions, policy and curriculum drafters, parents and teachers realise that a combination of sound medical aptitude, parental influence, peer influence and perceived social expectations resonates in the formation of a favourable attitude towards medical science. Assessing those higher secondary students qualifying into medical science would enable to analyse differences that existed, if any, in their entry-level and post-qualifying attitude towards the medical profession. -
Implementing smart cyber-physical systems in industrial and urban applications: A practical approach
World urbanization, at an accelerated rate, leads to a growing need for innovative cities that consider advances in AI and cyber-physical systems (CPS). A smart city is a development of a traditional environment of an urban setting, enhancing it with information and communication technology (ICT) and CPS to improve the quality of life, sustainability, and efficiency of the inhabitants. This chapter will cover the major constituents, challenges, and opportunities associated with the development of smart cities from the historically congested and ad hoc planned cities. A smart city connects a digitally empowered environment through sensors, processors, and communication systems integrated into urban infrastructures, allowing continuous monitoring of public health, mobility, energy consumption, and so on. The combination of AI and data analytics with smart city technologies will help optimize services in cities, reduce environmental effects, and accelerate socioeconomic development and decision-making. Improvement to cities is still a debatable issue, and there are additional obstacles to be overcome, such as infrastructural inadequacy, budgetary constraints, and technical issues. Realization of the full potential of smart cities will occur through successful resolution of the aforementioned issues. All the issues of this chapter can be addressed by adopting a multidisciplinary approach emphasizing sustainable designs, publicprivate sector partnerships, and regulatory frameworks. If ignored, such problems will definitely lead to adverse effects on implementation, an increase in socioeconomic inequality, and damage to the environment. This chapter relies on the secondary methodology of research and assimilates knowledge from journal articles, literature, and earlier research regarding smart cities, CPS, and AI applications. It defines current trends, recognizes long-standing problems, and suggests ways to bridge them, along with some directions for future research. This will help in understanding the ability of AI to make smart city adaptation strong concerning population growth, health crises, and climate change. It will also strengthen and connect the urban landscape of the future. Thus, by solving these problems and their consequent impacts, smart cities can totally transform urban life. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Advanced electrochemical performance of N-Ti3C2/MnO2 MXene as a promising electrode for energy storage
In this study, we demonstrate a simple and efficient two-step synthetic strategy to design a high-performance N-Ti3C2/MnO2 composite for energy storage application. Nitrogen doping alters the electronic structure of electrode materials and enhances pseudocapacitance. N-Ti3C2 serves as a supporting substrate for MnO2, boosting the active surface area by preventing Ti3C2 layer stacking. Benefitting from the collaborative contribution and synergistic interaction within this multicomponent system, N-Ti3C2/MnO2 results in exceptional specific capacitance of 2107.1 Fg?1 at 1 Ag?1. It also exhibits a low internal resistance and maintains a capacitive retention of 94% over 3000 cycles. The asymmetric capacitor also delivers an energy density of 117.1 Whkg?1 at a power density of 1290.1 Wkg?1. This work presents a straightforward method for modifying Ti3C2 through nitrogen doping and the insertion of MnO2 as an interlayer spacer to enhance electrochemical performance. Qatar University and Springer Nature Switzerland AG 2024. -
Revealing the synergistic potential of Ti3C2 MXene/Vanadium sulfide composite for enhancing electrochemical water splitting
The development of advanced materials for sustainable energy solutions is more critical than ever, and efficient electrocatalysts are at the forefront of this research. MXene-based materials have garnered significant focus for their electrocatalytic uses due to their high electrical conductivity, hydrophilicity, and tunable surface chemistry. Here, we highlight the innovative work on Ti3C2/V3S4 composites for efficient hydrogen evolution reaction (HER). The Ti3C2 MXene serves as a conductive matrix, while V3S4, a transition metal sulfide, enhances catalytic activity by providing active sites for HER. Integration of V3S4 into the MXene structure increases the surface area and introduces mesoporous channels that improve electron transfer and electrolyte accessibility. Notably, the composite exhibits an enhancement in surface area (45 m2g-1) and pore diameter (11.6 nm) compared to pristine Ti3C2 MXene. Electrochemical measurements demonstrate that the Ti3C2/V3S4 composite has superior hydrogen evolution activity with a lower overpotential of 188 mV and excellent stability compared to bare Ti3C2 MXene. As the demand for clean energy grows, these findings represent a significant step towards the formulation of top-performing materials for water splitting, positioning MXene-based hybrids as a promising solution in the field of renewable energy. This work is a testament to how material innovations can drive progress in hydrogen production technologies, paving the way for cleaner, greener energy systems. 2025 Hydrogen Energy Publications LLC -
Insights into the synergistic effect of V3S4 decorated Ti3C2 MXene as an electrode for asymmetric supercapacitor
As the globe moves toward sustainable energy options, effectively storing and managing energy becomes increasingly crucial. Advanced energy storage technologies can bridge the gap between energy generation and consumption, ensuring a reliable and stable supply even when renewable sources are intermittent. In this context, the rise of two-dimensional layered Ti3C2 MXene as a promising electrode for supercapacitors is particularly noteworthy, owing to its unique physical, chemical, and electrocatalytic attributes. Despite its potential, the immediate collapse and aggregation of MXene layers pose significant obstacles to their widespread usage in energy storage applications. This study explores advanced energy storage technologies using V3S4 coupled Ti3C2 MXene as electrodes in asymmetric supercapacitors. By combining the unique properties of V3S4 and Ti3C2 MXene, new avenues for improving the performance of supercapacitors are being unlocked. The experimental results indicate that the Ti3C2/V3S4 electrode exhibits an enhanced specific capacitance (Csp) of 1323.7 Fg-1 at a current density of 1 Ag-1, with an outstanding capacitance retention of 90.5 % after 2000 cycles. An assembled asymmetric supercapacitor, Ti3C2/V3S4//activated carbon shows superior energy storage efficiency, achieving a Csp of 258.4 Fg-1 at 2 Ag-1. The device exhibits a high energy density of 60.6 Whkg?1 at a power density of 649.2 Wkg-1, while holding onto a capacitance retention rate of 91.1 % over 10,000 cycles. 2025 Elsevier Ltd -
A comparison of distressed and non distressed married couples on marital quality emotional intelligence and conflict resolution styles /
Aim: To compare and study the marital quality, emotional intelligence and conflict resolution styles of distressed and non-distressed married couples; and to examine the interrelationships between these variables. Method: The study utilized a cross sectional, between group, mixed method research design. The sample consisted of 43 heterosexual married couples (N=86) in non-clinical settings, in the age range of 20-60 years, living in Bangalore, who met the inclusion and exclusion criteria, were
recruited through purposive/ snowball sampling. The participants were administered a demographic data sheet, the Marital Quality Scale (Shah, 1995), the Emotional Intelligence Scale (Schutte, Malouff, Hall, Haggerty, Cooper, & Golden, 1998), the Conflict Resolution Scale (Kurdek, 1994) and a Semi-structured Interview Schedule for qualitative data (prepared by the researcher). Quantitative and Qualitative analysis was carried out. The MQS cutoff score of 80 was used to divide the sample into distressed and nondistressed couples. Results: The two groups significantly differed on the conflict resolution styles. A significant relationship was found between marital quality and conflict resolution styles of distressed as well as non distressed group. There was a significant positive relationship between withdrawal as a
conflict resolution style and marital quality among distressed wives. Correlations between marital quality and conflict resolution styles among non-distressed couples showed that withdrawal had a significant positive relationship with the marital quality of the husband. From the correlation between the emotional intelligence and conflict resolution styles of
distressed couples, compliance had a significant positive relationship with the wife’s emotional intelligence. Among non-distressed wives conflictxii engagement was negatively correlated and positive problem solving was positively correlated with their emotional intelligence. Through the thematic analysis, multiple themes were identified as factors that are fundamental for a happy and long-term marriage and at the same time reveal the factors that can be detrimental to a successful marital
relationship. These themes, including the importance of emotional intelligence in marital quality and ways of conflict resolution were classified. The study has implications for clinical practice and marital research. The study findings can be used by counsellors and therapists in helping distressed couples, and for premarital counselling work with individuals and dating couples to improve the chances of their marital quality. The primary limitation of the study was its small sample size that limits the
ability to generalize the findings of the study. For future research a larger sample size can be considered to study the influence and impact in depth. The variables can be studied in different cultures to understand the cultural differences. -
A Model for storage optimization of brain MRI images for tumor detection using image processing technique
Magnetic Resonance Imaging (MRI) is a major non-invasive method for Brain tumor detection. The anatomical assessment of brain newlinetumor can be carried out using brain MRI image analysis. MRI is widely used in brain tumor identification and classification. Images generated during the diagnosis purpose are unattended after the specified diagnosis. newlineBrain MRI images in Digital Imaging and Communications in Medicine (DICOM) format require large amount of storage space. newlineAccumulation of the MRI images put forward the requirement of more storage space. To store large number of images, existing storage models has to be handled wisely. Research associated with storage, process and newlinemanipulation of medical image data using modern technologies with a minimal human intervention is the need of the time. Image processing deals with the study and development of innovative technologies for newlineanalysis,representation and interpretation of the image data. In this research, the need of an efficient storage model that can help in storing the brain MRI images is studied with the help of image processing technique. To store the brain MRI images with a reduced storage space, a matrix-based method is proposed. In this model brain MRI images in newlineDICOM format are converted into matrix format. In the DICOM images, the image data and header information together hold the details of the patient and image data. These data are converted and stored in the matrix. newlineThe stored matrix is accessed as the input to the proposed model. The proposed model follows different image processing steps.The process starts with pre-processing of brain MRI images followed by clustering of newlinewhite matter (WM), gray matter (GM) and cerebrospinal fluid (CSF), segmentation of tumor and classification of tumor and finally it handles the storage of the MRI images. In the pre-processing step, filtering algorithms are applied on MRI to remove the noise and text artifacts. The newlinewhite matter, gray matter and CSF are separated using the K-means newlineclustering method. -
Digital mental health interventions in India: Addressing challenges and expanding access
[No abstract available] -
Centrality measures-based sensitivity analysis and entropy of nonzero component graphs
The nonzero component graph of a finite-dimensional vector space over a finite field is a graph whose vertices are the nonzero vectors in the vector space, and any two vertices are adjacent if the corresponding linear combination contains a common basis vector. In this paper, we discuss the centrality measures and entropy of the nonzero component graph and also analyze the sensitivity of the graph using the centrality measures. 2025 World Scientific Publishing Company. -
Determinants of customer loyalty and retention : A Study of supermarket customers in Bangalore
Considering the ever dynamic lifestyle of the customers in Bangalore,the proposed study tried to find out the expectations and aspirations of supermarket customers in Bangalore.Most of the currently available studies are based on conceptual understanding and don t have an empirical backup. The proposed study is designed to determine the customer loyalty and retention of Supermarket Customers in Bangalore. newlineThe literature initiates an exhaustive discussion of various constructs leading to customer retention. Based on references from the literature constructs identified for customer retention are customer satisfaction, switching costs and customer loyalty and for customer loyalty the constructs identified are trust,commitment and customer satisfaction.For determining satisfaction the constructs identified in the proposed study are convenience of location, store atmosphere,promotion, customer relationship management practices and merchandise. Through extensive literature review,hypotheses were derived and the proposed conceptual model is developed. newlineObjectives of the proposed study are to empirically validate a model linking customer satisfaction, customer loyalty and customer retention with select antecedents. Research Methodology explains about the population spread from which the samples are collected, the justification for using the particular sampling technique and also about the tool employed for data collection. The techniques employed for checking the reliability and validity of the tool and pilot data analysis are also explained. Data collection was conducted using a structured questionnaire designed using Likert scale measurement. The pilot sample data consisted of 250 respondents.The questionnaires were analyzed using SPSS(v.20,software using Cronbach Alpha, Intra Class Correlation and Confirmatory factor analysis. newlineThe data collected from 600 respondents in Bengaluru city was used for the full fledged study.