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Job Involvement of Degree College Teachers in Relation to Their Work Ethics
Golden Research Thoughts, Vol-1 (9), pp. 1-4. -
Job Involvement of secondary school teachers of bangalore in relation to their work ethics organisational culture and leader behaviour of heads of institutions
Education has been the mainstay of our culture, right from the time of the Gurukul to the present day. Even today, the single most important factor in our education system is the teacher and his qualities. The issue of teacher motivation and Job Involvement is an essential factor for classroom newlineeffectiveness and improvement of educational institutions. Though many studies have been conducted in the area of Job Satisfaction of teachers in India, Job Involvement of teachers has received comparatively little attention. Literature review indicates that Work Ethics, Organizational Culture, Leader Behaviour of Heads of Institutions do newlineinfluence Job Involvement along with other variables. In this area, few independent studies are available, but a study related to all these variables is not available. Moreover, most of these studies related to Job Involvement are overseas studies. Hence the investigator felt the need to take up the present study titled Job Involvement of secondary school teachers of Bangalore in relation to their Work Ethics, Organizational newlineCulture and Leader Behaviour of Heads of Institutions. The main objectives of the study were: 1) To find out the relationship between Job Involvement of secondary school teachers their work ethics, organizational culture and Leader Behaviour of Heads of newlineInstitutions. 2) To find out whether differences in background variables like Gender, Subject specialization etc would account for significant difference in Job Involvement. 3) To find out whether any differences in levels of Work Ethics, Organizational Culture, and Leader Behaviour of Heads of Institutions results in any significant difference in Job Involvement of secondary school teachers 4) To find out the interactionxvi effect of the independent variables on Job Involvement 5) To find out newlinewhether the independent variables selected by the researcher are significant predictors of Job Involvement of secondary school teachers. Based on these objectives, researcher formulated 30 hypotheses. -
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Job Satisfaction Among Health-Care Practitioners: A Bibliometric Analysis
Purpose: The study aims to throw light on job satisfaction among health-care practitioners based on the metadata of published literature from Scopus database with the help of bibliometric analysis. Design/methodology/approach: Metadata of 6,998 publications from the Scopus database were extracted. Bibliometric analysis was done with country-based co-authorship analysis, all keywords-based co-occurrence analysis, sources-based citation analysis, cited authors-based co-citation analysis, and term co-occurrence based on text data. Findings: It was found that United States had the highest number of publications at 2,037. The Journal Of Nursing Management had the highest number of publications (332). Term co-occurrence based on text data reveals that job satisfaction, turnover intention, work engagement, compassion fatigue, job stress, organizational commitment, job demand, job performance, workplace violence, job burnout, career satisfaction, safety climate, organizational support, transformational leadership, leadership style, discrimination, workplace bullying, and job strain are the most prominent terms. The paper also highlights the factors affecting job satisfaction of employees in the health-care sector. Conclusion: The paper tries to highlight the publication trends on the job satisfaction among health-care practitioners. Since health care is a primary sector, prosperity of other sectors in the society depends on the job satisfaction level of employees in this sector. 2024 Association for Radiologic & Imaging Nursing -
Job satisfaction among women scientists in Karnataka with special reference to Bangalore
Innovations in Science and Technology form the basis of most changes in all world societies. Harnessing these discoveries, for the benefit and progress of various social groups, then becomes the greatest contribution of the community of Natural Scientists within any society. In Bangalore, as in other parts of India, discoveries and innovations are brought about in Science and Technology laboratories, on a daily basis. -
Job satisfaction while working from home during the COVID-19 pandemic: do subjective work autonomy, work-family conflict, and anxiety related to the pandemic matter?
The imposed lockdown, due to the COVID-19 outbreak, resulted in the rise to a new normal of working from home. This study explores how the lockdown and the sudden shift in the working style affected the job satisfaction of employees in India. We examined the relationship of job satisfaction with work autonomy, and determined whether work-family conflict, and anxiety due to COVID-19 are negatively related to job satisfaction amongst employees working from home in India. Through a correlational research design, a total of 211 participants took part in the study, and only 200 of the data, representing a 95% response rate, were eligible for further analysis. The data were analyzed using Structural Equation Modeling, and the results showed that work-family conflict and anxiety related to COVID-19 have a negative correlation with job satisfaction, while work autonomy had a positive correlation with job satisfaction. Perceived work autonomy, work-family conflict, and anxiety related to the COVID-19 pandemic significantly predicted job satisfaction and accounted for an overall 37.8% of the variance in job satisfaction. The findings of the current study provide valuable insight into the consequences of a pandemic or similar uncontrollable event, and augmented the literature on organizational behavior where most employees are compelled to work remotely, either full-time or part-time. The theoretical and empirical implications of how work-family conflict and anxiety related to the COVID-19 pandemic negatively impact the job satisfaction of employees in India were discussed. Evaluation of the structural relationship (SEM) reveals that the overall exogenous constructs significantly predicted job satisfaction of employees working from home in India during the COVID-19 pandemic. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Job Search Methods in the Software Industry in Bangalore: Does Social Capital Matter?
Heterogeneity of workers and jobs results in imperfections such as information asymmetry in the labour market. Acquisition and evaluation of information by buyers and sellers to arrive at a decision is, therefore, both difficult and costly. Referrals in the labour market act as a conduit through which necessary information flows between prospective employers and job seekers, thereby reducing problems associated with information asymmetry. The information technology (IT) industry hires about a quarter of their workforce through referrals. We look at realised job search outcomes of IT workers some of whom have found jobs through informal methods of search deploying their social networks while others through formalised channels of recruitment. We examine social capital, human capital and firm-specific differences among those who found jobs through formal vis-a-vis informal methods of search. The empirical analysis is primarily descriptive and is based on a survey conducted among software workers in the IT industry in Bangalore. The results suggest that there are no significant differences in the human capital characteristics of workers between the two methods of job finding. However, certain social capital and firm-specific characteristics significantly differ among the methods of job finding. 2019, Indian Society of Labour Economics. -
Job search methods in the software industry in Bangalore: Does social capital matter? /
The Indian Journal of Labour Economics, Vol.61, Issue 4, pp.681-699, ISSN No: 0971-7927. -
Joint algorithm for energy-conservation and secure key generation in wireless sensor network
From more than a decade, wireless sensor network is one of the active area of research area. However, the energy dissipation as well as security loopholes are still unanswered question inspite of massive research work. Hence, the proposed system implements a novel algorithm that cumulatively addresses the unwanted energy dissipation problem along with secure authentication process. The prime attempt of this paper was to maintain a well-balance relationship between energy efficiency and security robustness in large scale wireless sensor network. The proposed security process allows one node to authenticate another node using quadratic approach. Implemented over first order radio energy model, the outcome of the proposed system was found to outperform the conventional SecLEACH routing algorithm with respect to processing time and energy. Research India Publications. -
Journal of Discrete Mathematical Sciences & Cryptography
[No abstract available] -
Journal of Discrete Mathematical Sciences & Cryptography
[No abstract available] -
Journey through spiritual lens
This research is a comparative study of the Journey of Santiago in 'The Alchemist' who is after a personal legend and Christian in 'The Pilgrim's Progress' who sets his journey to attain Salvation. The aim of the study is to understand the similarities and diff erences of the terms such as Spiritual Quest, Sin, Purpose of Life, Truth and Sin. The growth of the two journeys has been analysed by highlighting the similarities and differences between the two. Such comparison not only helps in better understanding but it also helps to find new insights. Through the observations one states that though material treasure brings happiness but it is momentarily but a journey of trusting God will bring better understanding of the world. IJSTR 2019. -
Journey to Transportation and Logistics Management Using Drone
The speedy adoption and amalgamation of drone technology in every sector of life have correlated environmental implications. It has come to reality due to revolutionization on the technology front and the movement for a digitized world by adopting digitization in the course of action. The drones have the capacity to decrease the rate of carbon emissions at significant levels in transportation and logistics management. So, this is becoming the need of an hour to apply the technology for the well-being of an individual. The comprehensive study and assessment in this chapter will address the implications of an environment connected to drone-based transportation and logistics operations. It will comprise the assessment based on academic studies, industry reports, and environmental assessments in terms of carbon emissions, energy consumption, and ecological footprint. The chapter will highlight the concerns and contributions in view of mitigating the environmental implications linked with the deployment of drones in transportation and logistics, enabling stakeholders to develop strategies that foster sustainability in the industry. 2026 Scrivener Publishing LLC. -
Journey toward Internet of Bio-Nano Things: evolution, trends, and future challenges
The Internet of Bio-Nano Things (IoBNT) is a pioneering vision of embedding biological components into the existing network of interconnected nanodevices to create sophisticated webs of nano-scale biological and artificial components. This framework extends the conventional Internet of Things architecture to include biological components to facilitate new relationships between artificial nano-scale devices and biological systems. IoBNT enables unprecedented functionalities in healthcare, environmental monitoring, agriculture, and food protection through multiple communication channels, including molecular communication, THz-band electromagnetic nanocommunication, acoustic nanocommunication, and FRET-based nanocommunication. Nonetheless, there are still many issues to be solved in the areas of nanonetwork implementation, bio-cyber interface development, big data analytics, security, energy harvesting, and biocompatibility. Some of the potential countermeasures to security risks include device hardening, cryptographic mechanisms, external device delegation, intrusion detection, and hardware-based solutions. Although IoBNT presents a great prospect for change across various sectors, there is a need for more research to resolve technical, biological, and security issues so that it can be adopted in real life. 2026 Elsevier Inc. All rights reserved.. -
Journeying through the Indian railways in around India in 80 trains (2012) by monisha rajesh and chai, chai: Travels in places where you stop but get never off (2009) by bishwanath ghosh
An Indian train is a space that exemplifies a true sense of transient cultural pattern as it travels through different states of India constantly assimilating people of diverse cultures. In this liminal space, a passenger travels from known to unknown in terms of geography, culture, language, cuisine, sartorial configuration and psychological makeup. Indian Railways offers an insightful analysis of cohabitation - the conflict and the coexistence of people amidst cultural differences.An Indian train is an exemplar of an accurate secular structure, blurring the lines of discrepancies based on religion, caste, gender, sex and sexuality. Prejudices that are evident in spaces relatively marked by certain spatial permanence dilute in a train. A provisional spatial arrangement of a train therefore questions the idea of tolerance and intolerance compared to that of permanent arrangement. As the Indian train incorporates people of all ages and territories, the train is a specimen of the concept of Bakhtinian polyphony, wherein the dialogues occurring between passengers represent varied consciousness. Thus, a train travelogue encompasses unmerged voices, each carrying a unique conscious design. The people travelling in an Indian train are separated on one single ground: economy. Therefore, economic factor becomes an overarching pattern of base to assign a certain culture in a superstructure to each class and each offers a unique perspective to the travelogue. This paper will analyze the trope of the train in two Indian travelogues based on culture, Marxist economic structure, Bakhtinian concept of polyphony, secularism and the idea of tolerance. AesthetixMS 2020. This Open Access article is published under a Creative Commons Attribution Non-Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For citation use the DOI. For commercial re-use, please contact editor@rupkatha.com. -
Joycean novels: A broad secularizing project
This paper discusses how the Irish novelist James Joyce used the Novel form as an interface of religion and secularism in fiction. The secularism of his novels is a nuanced, complex project, as he was deeply haunted by the fabric of religious upbringing which he had only partially disowned. Joyce's works as well as life reflect an ambiguous relationship to religious texts, themes, and institutions. A non-teleological concept of modernity is what is present in the works of Joyce especially in his novels, A Portrait of the Artist as a Young Man and Ulysses. Here, the secular and the religious exist in an intimately antinomian, mutually defining opposition in many aspects of cultural life, including literature. 2015 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore), ISSN: 0253-7222. -
JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems
This paper deals with an intelligent data analytics platform-Jaison-Paul Data Analytics Platform (JP-DAP)-for metro rail transport systems. JP-DAP is intended to ensure smooth functioning, improved customer experience, ridership forecasting, and efficient administration of metro rail transportation systems by integrating and analysing its many data sources. It consists of a middleware which is built on the top of a Hadoop Distributed File System (HDFS) and Spark framework, along with a set of open-source software tools like Apache Hive, Pandas, Google TensorFlow and Spark ML-lib for real-time and legacy data processing. The benchmarking of JP-DAP was conducted using TestDFSIO and have found that it performs well according to industry standards. The specific use case for this project is Kochi Metro Rail Limited (KMRL). The analysis of Automated Fare Collection data from KMRL on JP-DAP framework have produced descriptive statistics visualisation of inflow and outflow analysis, travel patterns during weekdays and weekends, origin-destination matrix, etc.. Moreover JP-DAP framework is capable of producing short term passenger flow predictions using SVR machine learning algorithm with linear, radial basis function and polynomial kernels. Our experiments have shown that SVR linear kernel gives the most accurate results with the least errors in predicting the next day's passenger count using the previous five weekdays data. The station usage (one-to-all) prediction using Long Short-Term Memory (LSTM) is also integrated to this framework. The visualisation as well as analytical outcomes of JP-DAP framework have also been made available to the external world using a rich set of REST APIs and are projected on to a web-dashboard. 2000-2011 IEEE. -
JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence
The requirement of the job for people and employees for employers are al-ways in demand. This is due to the lack of proper infrastructure to reduce the unmatching job application for employers and inappropriate job recommendations for people. This chapter proposes a strategic framework with machine learning and knowledge integration to increase accuracy in the provided recommendations and increase the chance of getting a job offer. The usage of'user's search data intends job recommended more in liking of the users, and the machine learning helps in finding the accurate job recommendation. The machine learning technique used here is Radial Basis Function Neural Net-work for the classification and Knowledge Integrated using Analysis of Variance - Web Point Wise Mutual Information and Kullback Leibler (KL) divergence. All the job providers ads are retrieved from the top websites using beautiful soup. The proposed JRHDLSI architecture achieved an accuracy of 94.99% which outperformed the baseline models and was much superior. 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) -
JUDE: An Ultraviolet Imaging Telescope pipeline
The Ultraviolet Imaging Telescope (UVIT) was launched as part of the multi-wavelength Indian AstroSat mission on 28 September, 2015 into a low Earth orbit. A 6-month performance verification (PV) phase ended in March 2016, and the instrument is now in the general observing phase. UVIT operates in three channels: visible, near-ultraviolet (NUV) and far-ultraviolet (FUV), each with a choice of broad and narrow band filters, and has NUV and FUV gratings for low-resolution spectroscopy. We have written a software package (JUDE) to convert the Level 1 data from UVIT into scientifically useful photon lists and images. The routines are written in the GNU Data Language (GDL) and are compatible with the IDL software package. We use these programs in our own scientific work, and will continue to update the programs as we gain better understanding of the UVIT instrument and its performance. We have released JUDE under an Apache License. 2017 Elsevier B.V.