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Using Academic Performance Indicator to Evaluate the Cost to Company of Management Graduates
As the placement season hits CBS Business School, India, the pressure to get placed is at its peak. As the placement season draws to a close, the unplaced students storm the Directors office complaining about unfair treatment in the process. They lay blame on the random shortlisting followed by the Placement co-ordinator. Concerned with these allegations, the Director calls on faculty to investigate the situation. During the conversation one of the students, Rachit, expresses regret in not focusing solely on academics and instead on developing a more well-rounded profile. He feels that that is the reason for his failure to get placed. A fundamental question arises of how closely academic performance and Cost to Company (CTC) are related. Data is collected to examine the validity of the long-held belief that higher academic performance leads to higher paying job placement. 2022 NeilsonJournals Publishing. -
Unsupervised Feature Selection Approach for Smartwatches
Traditional feature selection methods can be time-consuming and labor-intensive, especially with large datasets. This studys unsupervised feature selection approach can automate the process and help identify important features preferred by a particular segment of users. The unsupervised feature selection method is applied for smartwatches. Smartwatches continue to gain popularity. It is important to understand which features are most important to users to design and develop smartwatches that are more engaging, user-friendly, and meet the needs and preferences of their target audience. The rapid pace of technological innovation in the smartwatch industry means that new features and functionalities are constantly being developed. Multi-cluster feature selection, Laplacian score, and unsupervised spectral feature are used. Conjoint analysis is done on the most common features in all three selection methods. The unsupervised feature selection technique is used for identifying the relevant and important features of new smartwatch users.The practical implication of the research is in the application of the technique in the new product design of smartwatches. The result of the study also informs smartwatch manufacturers and developers on the features they need to prioritize and invest in. This can ultimately result in better and more user-friendly smartwatches and a good overall experience for the user. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Predicting Consumer's Brand Switching Behaviour for Cell Phones
The IUP Journal of Marketing Management, ICFAI, Vol. XV, Issue 4, ISSN No. 0972-6845 -
An Expected Model of Management Program in India
Pravara Management Review, Vol 15, Issue 2, pp. 17-23, ISSN No. 0975-7201 -
A Predictive Modelling of Factors Influencing Job Satisfaction Through a CNN-BiGRU Algorithm
The fields of humanities, psychology, and sociology are where the word 'job satisfaction' originated. According to psychology, it is a condition in which a worker experiences his circumstances emotionally and responds by experiencing either pleasure or suffering. It is regarded as a variable in various sociological categories pertaining to how each employee assesses and thinks about his work. Because a satisfied employee contributes to and builds upon an organization's success, job satisfaction is intimately tied to an employee's performance and the quality of the work they do. As a result, job satisfaction directly correlates to an organization's success. The proposed strategy incorporates data preprocessing, feature selection, and model training. The missing value is a common feature of data preparation. Feature selection is chosen using the ANOVA F-Test Filter, the Chi-Square Filter, and the full Data Set Construction procedure. The model's efficacy can be evaluated with the help of CNN-BiGRU. The proposed technique is compared to two more models: BiGRU and CNN. It has been shown that our proposed technique outperforms two other models. 2023 IEEE. -
Detection of high-frequency pulsation in WR135: Investigation of stellar wind dynamics
We report the detection of high-frequency pulsations in WR 135 from short-cadence (10 minute) optical photometric and spectroscopic time series surveys. The harmonics up to the sixth order are detected from the integrated photometric flux variations, while the comparatively weaker eighth harmonic is detected from the strengths of the emission lines. We investigate the driving source of the stratified winds of WR 135 using the radiative transfer modeling code, CMFGEN, and find the physical conditions that can explain the propagation of such pulsations. From our study, we find that the optically thick subsonic layers of the atmosphere are close to the Eddington limit and are launched by the Fe opacity. The outer optically thin supersonic winds (Tross = 0.1 0.01) are launched by the He II and C IV opacities. The stratified winds above the sonic point undergo velocity perturbation that can lead to clumps. In the optically thin supersonic winds, dense clumps of smaller size (fVFF = 0.27 0.3, where fVFF is the volume filling factor) pulsate with higher-order harmonics. The larger clumps (fVFF = 0.2) oscillate with lower-order harmonics of the pulsation and affect the overall wind variability. 2024. The Author(s). -
Student engagement in community development: A strategy for whole-person development
Student engagement in community development has been closely linked to enhanced learning outcomes and whole-person development. The Centre for Social Action (CSA) at Christ University emerged as a student-led student-driven initiative to promote volunteerism and engagement in community development that enabled the student community to identify and work on development initiatives. The objective of the chapter is to examine the factors that influence student engagement in community development initiatives and explore the factors that motivate them to volunteer. It also looks at their perception of the benefits for the two main stakeholders in the process, namely the students themselves and the community that they work with. This chapter uses a qualitative framework, and the data is collected through in-depth interviews and focus group discussions with current and past volunteers with CSA. The participants in the study have been selected using purposive sampling techniques and represent students who have worked on the major initiatives undertaken by CSA, namely the activity centre and the various social awareness and sensitization initiatives. The interviews and the focus group discussions have been conducted on virtual meeting platforms, and the data has been analyses thematically. The research design lends itself to a rich exploration of student perception of their engagement in community development, their motivation, the benefits that they perceive of their engagement with the activities for both themselves and other stakeholders, and how it ties into the construct of whole-person development at the individual level and whole-person education at a broader level. 2024 Nova Science Publishers, Inc. -
Predicting Price Direction of Bitcoin based on Hybrid Model of LSTM and Dense Neural Network Approach
Bitcoin is a rapidly growing but extremely risky cryptocurrency. It marks a watershed moment in the history of cash. These days, digital currency is preferred to actual money. Bitcoin has decentralized authority and placed it in the hands of its users. Many people are joining the largest and most well-known Bitcoin mining pools as the risk of working alone is too great. In order to enhance their chances of creating the next block in the Bitcoins blockchain and decrease the mining reward volatility, users can band together to form Bitcoin pools. This tendency toward consolidation may also be seen in the rise of large-scale mining farms equipped with powerful mining resources and speedy processing capability. Because of the risk of a 51% assault, this pattern shows that Bitcoin's pure, decentralized protocol is moving toward greater centralization in its distribution network. Not to be overlooked is the resulting centralization of the bitcoin network as a result of cloud wallets making it simple for new users to join. Because of the easily hackable nature of Bitcoin technologies, this could lead to a wide range of security vulnerabilities. The proposed approach uses normalization and filling missing values in preprocessing, PCA for feature Extraction and finally training the model using LSTM-DNN Models. The proposed approach outperforms other two models such as CNN and DNN. 2023 IEEE. -
Covid-19, macroeconomic policies, and analysis of the inflation-unemployment dynamics in india
Indian economy could largely withstand the adversities of 2008 recession, the signs of a downturn were clearer by 2017 following the arrival of twin policies, Demonetization as well as the Goods and Services Tax. The COVID-19 pandemic has deepened the crisis leading to a significant reduction in production and total expenditure. Although India has resorted to a combination of conventional policies monetary as well as fiscal injections to face the economic crisis, it has had serious negative consequences on production and employment. We investigate the nature of relationship between inflation and unemployment during the recession and the pandemic times using the non-linear regression analysis. The results reveal that the recessionary phase has given way to a stagflationary situation owing to inflation persistence in the short run. We suggest the usefulness of a more comprehensive term structure strat?gy to deal with the adverse supply shocks and policy failures. Indian Institute of Finance. -
Sustainable environment protection and waste management in higher education institutions: A case study
Sustainable environment protection and waste management are global concerns that major cities are grappling with, and it is the most important environmental factor that higher educational institutions in India are considering right now. "Parivarthana, "-the recycling unit of the Centre for Social Action at Christ University, Bengaluru, is evolved as a paradigm for all higher education institutions in terms of long-term environmental protection through waste management and the efforts of student volunteers. The student volunteers have been successful in sensitizing all members of the University to the importance of environmental conservation, and there is rising evidence of accountability among all members regarding waste management. The basic sense of social responsibility of student volunteers toward environmental sustainability is the primary focus of this chapter. Student volunteers who have a higher sense of social responsibility have a better attitude toward their studies, which leads to higher academic accomplishment and a desire to take action to address environmental challenges. Their environmental awareness, climate change, the need to reduce greenhouse gas emissions, efficient use of natural resources, waste management, and sustainable consumerism have served as an example for students of other higher educational institutions. A qualitative method with a case study approach was applied for this research with In-depth interviews with all stakeholders of the unit. The objectives include the participants' understanding of the prevailing process of waste management in the unit, the relation between waste management and Climate change, and the role of the student volunteers and other stakeholders of the Higher Educational Institutions in bringing a model to Sustainable Development and Global Climate Change. 2024 Nova Science Publishers, Inc. -
Sustainable Waste Management and Womens Empowerment
Waste management is a problem faced by major cities. Rural migration to urban areas created unplanned residential areas and high population density, and temporary living structures have a direct impact on poor waste management systems in urban areas. From September 2020 until February 2021, a case study was conducted (the first lockdown period of the COVID-19 Pandemic) among women members from an urban slum in Bangalore with objectives to understand the prevalent process of waste management and comprehend the association between womens empowerment and sustainable waste management in a slum community. The purposive sampling technique was applied to select 10 women members of the slum community for this community-based participatory research as co-researchers from the slum community, along with all stakeholders. The results show that the women members could implement the immediate plans on waste management, including educating their neighbours on waste management, to ensure that a large part of the society they are living in is aware of it. The women members demonstrated their motivation and willingness in their actions in the slum neighbourhood concerning sustainable waste management. They applied their participatory activities to empower other women in the area by focussing on every stretch of the slum and educating on the management of waste. All the actions by the women members in the urban slum community and the stakeholders of waste management in that community intend to support the quality of life and strengthen the resilience to climate change through sustainable waste-management and are reflected in SDG 3, SDG 5, SDG 11, and SDG 13. 2024 CRC Press. -
Clinical Study Macular Oedema
Prior to the development of the ophthalmoscope, macular oedema remained mostly unknown. Macular oedema is caused by fluid buildup in the retinal layers around the fovea. It causes vision loss by changing the functional cell connection in the retina and stimulating an inflammatory reparative response. The clinical profile, aetiology, and varied types of Macular Oedema are hence the focus of research, and also to investigate the aetiology of macular oedema as well as the various forms of macular oedema in patients attending Krishna Hospital in Karad. The male to female ratio among the 60 participants was 2.53:1. Macular oedema is the major cause for loss in vision which is common vitreo retinal diseases, with diabetes being the most prevalent cause (35% of cases) in our study. Its early detection and treatment are critical for preventing blindness. It is consequently critical to understand the aetiology, pattern, and chronicity of macular oedema in order to customize treatment and monitor response to it. RJPT All right reserved. -
Handwritten Telugu Character Recognition Using Machine Learning
The Telugu language is the most prominent representative within the Dravidian language family, predominantly spoken in the southeastern regions of India. Handwritten character recognition in Telugu has significant applications across diverse fields such as healthcare, administration, education, and paleography. Despite its importance, the Telugu script differs significantly from English, presenting distinct challenges in recognizing characters due to its complexity and diverse character shapes. This study explores the application of machine learning, particularly delving into deep learning techniques, to improve the accuracy of Telugu character recognition. This paper proposes a model to recognize handwritten Telugu characters using Convolutional Neural Network (CNN). The proposed study demonstrates the accuracy in identifying diverse handwritten Telugu characters. We assess the system's performance against conventional and machine learning methodologies and preprocess an extensive dataset to guarantee strong model training. The proposed model excels in accurately predicting visually similar but distinct characters, achieving an impressive accuracy rate of 96.96%. 2024 IEEE. -
Textual and media-based self-learning modules: Support for achievement in algebra and geometry
Owing to the importance of a subject like mathematics in the teaching and learning of science, self-learning often poses a challenge to the educator. The objective of this study is to analyse the enhancement of the textual and the media form of self-learning modules to teach algebra and geometry to eighth graders considering their retention levels. A pre-Test post-Test single-group quasi experimental design was tested and tried out on 49 participants of a school. The 20 modules of self-learning material covering content in the topics of algebra and geometry in the textual and media-Assisted forms of self-learning were administered over three months. The findings of the study revealed the ability of media-Assisted self-learning modules to enhance achievement in the post-Test when compared to the pre-Test. The textual-Assisted learning modules were able to enhance significant difference in the achievements in geometry, but not of algebra. The delayed post-Test results were found to indicate an improved achievement in mathematics. 2022 IGI Global. All rights reserved. -
Exploring the factors of learning organization in school education: therole of leadership styles, personalcommitment, andorganizational culture
Purpose: This study aims to test the conceptual model of the factors of learning organization and explore the degree of mediation of organizational culture in the relationship between leadership styles, personal commitment, and learning organization in school education. Design/methodology/approach: The learning organization profile (LOP) and OCTAPACE profile served to measure learning organization and organizational culture, respectively. The researchers developed scales to measure principals leadership styles and teachers personal commitment. Data included 750 school teachers. Findings: This study found a good fit in the proposed conceptual model. The organizational culture had a significant mediating effect on the path of leadership styles and learning organization and a significant mediating effect on the path of personal commitment and learning organization. Originality/value: To promote a more comprehensive learning culture, school principals should consider two specific organizational mechanisms: the intangible cultural components (such as corporate values, beliefs, and norms) and the tangible structural components (such as organizational structure and workflow systems). These two domains play a crucial role in creating a conducive learning environment. 2024, Jacqueline Kareem, Harold Andrew Patrick and Nepoleon Prabakaran. -
Transformational educational leaders inspire school educators commitment
Introduction: Transformational school leaders play an important role in promoting educational innovation and restructuring by creating a vision for the future, building a culture of collaboration, and empowering others to become leaders themselves. Through their leadership style, they inspire and motivate others to work towards a common goal, leading to positive change and growth within the educational system. The aim of this study is to measure the impact of transformational leadership on various types of commitment that school teachers have in Bengaluru, India. Methods: A survey was conducted using standardised instruments to measure the leadership style of principals and personal commitment of teachers. The data was collected from 1,173 school teachers through a questionnaire and analysed using SPSS V23 statistical software. Results: The study found that transformational leadership had a significant impact on the different types of commitment that teachers possess in school education. The three domains of commitment - commitment towards the institution, student development, and self-development - were positively influenced by transformational leadership. Discussion: Transformational school leaders play an important role in promoting educational innovation and restructuring by creating a vision for the future, building a culture of collaboration, and empowering others to become leaders themselves. This study provides evidence that transformational leadership has a positive impact on different types of commitment among school teachers in Bengaluru, India. Leaders of school management are advised to take into account the three domains of commitment of their teachers to facilitate organisational learning through more integrative methods. Copyright 2023 Kareem, Patrick, Prabakaran, B, Tantia, M. P. M. and Mukherjee. -
Dataset exploring organizational culture of K-12 schools
Culture can be understood as an explicit social product arising from social interaction as an intentional or unintentional consequence of behavior. Educational Institutions culture differs from other organizational cultures as it impacts teachers' performance and students' learning. In this survey the definition of organizational culture used is given by Schein, The deeper level of basic assumptions and beliefs that are, learned responses to the group's problems of survival in its external environment and its problems of internal integration; are shared by members of an organization; that operate unconsciously; and that define in a basic taken -for-granted fashion in an organization's view of itself and its environment [1]. The data contains 1158 cases collected from K-12 School teachers on their perception of values and beliefs of their organizational culture using the OCTAPACE scale. Convenience sampling is used to obtain the data from teachers. The questionnaire was administered personally to teachers from sixty-five Private aided, Private unaided and Government schools. The eight dimensions measuring values and beliefs of Educational Institutions organizational culture are Pro-action, Authenticity, Openness, Collaboration, Experimenting, Trust, Confrontation and Autonomy. Descriptive statistics are computed from the dataset. The dataset can be used by researchers for meta analysis on organizational culture and school management can explore in depth the need for an organizational culture of autonomy, experimenting, collaboration and openness among teachers. 2022 The Authors -
Influence of teacher occupational stress on self-efficacy: Evidences from the pre-and during-covid-19 periods
The teaching profession is undergoing a revolutionary change due to the compulsive integration of technology into education. There is a growing interest in understanding teachers occupational stress and efficacy in online teaching. The participants of this study were schoolteachers in Bengaluru, India. The measures from teachers occupational stress and self-efficacy scales investigate the influence of occupational stress and self-efficacy during two periods before and during COVID-19. The findings of the study reflected that the influence of occupational stress on self-efficacy doubled during COVID-19. Classroom management and resources for online teaching mainly influenced selfefficacy during COVID-19, whereas classroom management and administration proved to influence self-efficacy before COVID-19. Online learning strategies adopted by educational institutions will certainly make an impression on the education system post COVID-19. The current research contributes a significant component in the formation of teacher professional identity. 2022 IGI Global. All rights reserved. -
The role of classroom engagement on academic grit, intolerance to uncertainty and well-being among school students during the second wave of the COVID-19 pandemic in India
The forced changes and disruptions in educational systems and learning experiences due to the pandemic has impacted students' mental health and well-being. The present study aims to understand the effects of the determinants of well-being on students in India during the second wave (April to August 2021) of the COVID-19 pandemic. The determinants of well-being in this study areacademic grit, intolerance to uncertainty and students' engagement in an online learning environment. In this study, well-being is characterized as students' confidence and satisfaction in an online learning and pandemic environment. The data collected from 1174 students (1219 years) from various states, using standardized tools, were analyzed to find out about the mediating effect of students' engagement on the relationship between academic grit and well-being, and between intolerance to uncertainty and well-being. Further, the model fit analysis of the determinants of well-being is explored.The paper reports that students' classroom engagement does mediate in the path of academic grit and well-being, and in the path of intolerance to uncertainty and well-being. It also evidence the model fit of the influence of the determinants of well-being on that of school students during the second wave of the COVID-19 pandemic. The study also draws implications and suggestions for educators using the current model of students' well-being. 2022 Wiley Periodicals LLC. -
A study on the self-concept of teachers working in government, aided and unaided colleges in Bangalore
The IUP Journal of Organizational Behavior, Vol-13(1), pp. 60-70. ISSN-0972-687X