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Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor
In the medical image segmentation field, automation is a vital step toward illness detection and thus prevention. Once the segmentation is completed, brain tumors are easily detectable. Automated segmentation of brain tumor is an important research field for assisting radiologists in effectively diagnosing brain tumors. Many deep learning techniques like convolutional neural networks, deep belief networks, and others have been proposed for the automated brain tumor segmentation. The latest deep learning models are discussed in this study based on their performance, dice score, accuracy, sensitivity, and specificity. It also emphasizes the uniqueness of each model, as well as its benefits and drawbacks. This review also looks at some of the most prevalent concerns about utilizing this sort of classifier, as well as some of the most notable changes in regularly used MRI modalities for brain tumor diagnosis. Furthermore, this research establishes limitations, remedies, and future trends or offers up advanced challenges for researchers to produce an efficient system with clinically acceptable accuracy that aids radiologists in determining the prognosis of brain tumors. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents
Stress is a psychological condition that people who are experiencing difficulties in their social and environmental well-being face, and it can cause several health problems. Young individuals experience major changes during this crucial time, and they are expected to succeed in society. It's critical for people to master appropriate stress management techniques to ensure a smooth transition into adulthood. The transition to new settings, lifestyles, and interactions with a variety of people, things, and events occurs during adolescence. In this study, a dataset was utilized to classify 520 Indian individuals' stress levels into three categories: normal, moderate, and severe. Support Vector Machines, KNN, Decision Trees, Naive Bayes and CNN were among the different classification techniques that were taken into consideration. The CNN Algorithm was found to be the most reliable method for categorizing diseases linked to mental stress. The study's main goal is to create a classification model that can correctly classify a variety of samples into distinct levels of psychological discomfort. 2023 IEEE. -
EMPIRICALLY VALIDATING THE JOB CHARACTERISTICS MODEL IN THE HEALTHCARE SECTOR
The original model developed by Hackman & Oldham (1976, 1980) was tested for the healthcare sector in India following three staged model as proposed by the original authors. Out of several studies conducted so far using this model, majority of the studies had adopted two staged model. Stratified sampling technique was adopted to select the hospitals (equal number of hospitals selected from private, public and trust hospitals). Convenience sampling was adopted to administer the questionnaire (questionnaires were administered to the target sample from hospitals that gave permission under the three categories). Judgmental sampling method was adopted for deciding whom to administer the questionnaire. Inclusion and exclusion criteria included as employees should have worked for minimum 12 months in the present hospital to complete the questionnaire. 1550 questionnaires were distributed and 1244 fully completed questionnaires were compiled for analysis (80% response rate). Initially the model was tested using structural equation modeling. The study found that the job characteristics model as suggested by Oldham and Hackman (1976 and 1980) did not find good fit in the healthcare sector in India. Further the model was tested separately for nursing, paramedical and nonmedical category as they were the major stake holders in the healthcare sector. The result of the second model fit was also poor and found further fall in strength, which was tested based on the categorization ?? paramedical, nursing and nonmedical staff. Hence, the researcher found no scope of testing the structural equation model any further. Therefore, as the measurement model fails, the researcher intended to explore the dimensions using exploratory factor analysis. The result of the exploratory analysis indicated extracted 17 dimensions from 83 items. These 17-factors extracted from the exploratory factor were applicable to the Indian healthcare sector. This new tool needs to be tested in India for measuring the job characteristics, psychological states and personal outcome linkages. In this study we have analyzed the implications based on the results found. Some of the implications of the study were in the area of autonomy and feedback from the core job dimensions, experienced meaningfulness and knowledge of result from the critical psychological states and general satisfaction and specific satisfaction on pay from the personal outcome. We found very low pay satisfaction among the healthcare workers in India. It is suggested to the future scholars to experiment with the proposed new tool in the future research and explore the new model. A focused study interview could be conducted to find out the responses to job design using the qualitative approach and interviewing the most experienced professionals in hospitals. Two stage model could be tested in the Indian healthcare sector that is job characteristics and personal outcome, excluding critical psychological states. Key words: Job characteristics model, Healthcare, Paramedical, Nonmedical, Nurses. -
EmploChain: A Blueprint for Blockchain-Driven Transformation in Employee Life Cycle Management
Integrating blockchain technology into human resource management presents both transformative opportunities and implementation challenges that need to be addressed. This paper proposes a blockchain-based EmploChain Framework, a decentralized ledger approach specifically designed to enable Employee Life Cycle Management by harnessing the potential of blockchain technology. The study looks at the potential benefits of the proposed framework, including increased security, transparency, and automation. The paper also looks at potential limitations like scalability concerns and implementation costs and explores the possible solutions to overcome them. The aim of this research is to provide a thorough understanding of the framework's implications, thereby facilitating informed decisions to implement EmploChain Framework for managing the Employee Life Cycle of an organization.. 2024 IEEE. -
Employee attrition and absenteeism analysis using machine learning methods: Application in the manufacturing industry
HR analytics has been envisaged as recent research trend for providing a comprehensive decision support system to the top level management in terms of employee's performance, recruitment and behaviour analysis. Globally, organizations are using technology to support and ease HR processes. Every organization should give maximum value to every available human resource, and they should minimize the attrition and absenteeism rate and ensure what are the factors that contribute towards employee attrition as well as the causes for workmen absenteeism. The ultimate objective is to correctly identify attrition and absenteeism in order to assist the company to improve retention tactics for key personnel and increase employee satisfaction. Through this chapter, a machine learning-based model is proposed to get quick results for such employee attrition and workmen absenteeism. The model is trained and tested for its accuracy. The result shows that the proposed model has high sensitivity. The managerial implications are also discussed for taking informed decisions. 2023, IGI Global. All rights reserved. -
Employee Attrition, Job Involvement, and Work Life Balance Prediction Using Machine Learning Classifier Models
Employee performance is an integral part organizational success, for which Talent management is highly required, and the motivating factors of employee depend on employee performance. Certain variables have been observed as outliers, but none of those variables were operated or predicted. This paper aims at creating predictive models for the employee attrition by using classifier models for attrition rate, Job Involvement, and Work Life Balance. Job Involvement is specifically linked to the employee intentions to turn around that is minimal turnover rate. So, getting justifiable solution, this paper states the novel and accurate classification models. The Ridge Classifier model is the first one it has been used to classify IBM employee attrition, and it gave an accuracy of 92.7%. Random Forest had the highest accuracy for predicting Job Involvement, with accuracy rate of 62.3%. Similarly, Logistic Regression has been the model selected to predict Work Life Balance, and it has a 64.8% accuracy rate, making it an acceptable classification model. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Employee Challenges and its Solutions in Virtual Information Technology Industry
This study aimed at identifying the challenges faced by the employee working in virtual environment, to further propose a conceptual model and to explore the enabling factors required to provide sustainable solutions to these challenges. An organizations precursors are a must to mitigate the identified challenges by adopting the suggested solutions. In this era of IT and ICT, it is inevitable to understand what are those challenges, issues or problems employee of a virtual team faces and how do they resolve them or behave in that particular scenario. Radically changing work environment impacts the workforce productivity. In this ICT environment, it is unavoidable to expect challenges emerged out of such working conditions. Further, to study challenges becomes crucial for a better work environment. The qualitative grounded theory method approach has been used to identify challenges of 20 cases through in-depth interview techniques. The interviews have been then transcribed, coded and categorized. The conceptual model is the final outcome of this research work that depicts the challenges, the precursors ?? a company must have and last but not the least the recommended solutions to mitigate challenges. Keywords ?? IT (Information Technology), ICT (Information and Communication Technology), Challenges (A challenge is a general term referring to things that are imbued with a sense of difficulty and victory). -
Employee development and training as a tool for improving employee performance in an organization /
Patent Number: 202241025596, Applicant: Dr. Rekha N Patil.
Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line. -
Employee development and training as a tool for improving employee performance in an organization /
Patent Number: 202241025596, Applicant: Dr. Rekha N Patil.
Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line. -
Employee development and training as a tool for improving employee performance in an organization /
Patent Number: 202241025596, Applicant: Dr. Rekha N Patil.
Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line. -
Employee development and training as a tool for improving employee performance in an organization /
Patent Number: 202241025596, Applicant: Dr. Rekha N Patil.
Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line. -
EMPLOYEE ENGAGEMENT IN RELATION TO ORGANIZATIONAL CITIZENSHIP BEHAVIOR IN INFORMATION TECHNOLOGY ORGANIZATIONS
Employee contribution becomes a critical business issue because in trying to produce superior output, companies have no choice but to try and engage not only the body but the mind and soul of every employee. Most organizations today realize that a satisfied employee is not necessarily the best employee in terms of loyalty and productivity. The best employee is really an engaged employee ?? one who is intellectually and emotionally bound with the organization, who feels passionate about its goals and is committed towards its values. This employee goes the extra mile beyond the basic job requirements. Currently, organizations expect their employees to be proactive and show initiative, collaborate smoothly with others, take responsibility for their own professional development, and to be committed to high quality performance standards. Thus employees who feel energetic and dedicated and who are absorbed by their work, employees who can create a culture in the organization that would be for the well-being of the organization and people involved in the organization are most critical for the organization. These voluntary behaviors which contribute to the business unit performance are Organizational Citizenship Behaviors. Engaging employees of an organization is critical to the organizations success. Employee Engagement is often the most significant differentiator between competing IT organizations. This is true particularly for service based IT companies as revenues are directly proportional to number of engaged workforce in the organization. Majority of researches on employee engagement from survey houses and consultancies have established the relationship between employee engagement, financial business performance and profitability. Interestingly, there are very few academic literatures on engagement. Several literatures on OCB have highlighted the relationship between OCB and productivity, in-role performance, and business unit performance. However there has been no research established to find out if there is any relationship between employee engagement and OCB. In this research, the researcher is interested to focus on employee engagement and OCB in Indian and multinational companies operating in the IT sector in India. The research is focused to analyze if the dimensions of OCB like helping behavior, taking initiative, self development indicate the engagement levels of an employee. Based on the review of literatures and identified the gap, the investigator felt an imperative need to pursue with the current research. The sample consisted of 235 IT professionals from both Indian and MNC companies. The judgmental and convenient sampling technique was adopted for selecting the respondents. Two standard tools were used to measure the variables of the study:- 1.Employee Engagement questionnaire by Dilys Robinson (2004), the reliability for the scale was.880. 2.Organizational Citizenship Behavior questionnaire by Podsakoff (2000), the reliability for the scale was .703 The major findings of the study were - i. There was a positive significant relationship between Employee Engagement and Organizational Citizenship Behavior. ii.The drivers of engagement viz. pay and benefits, feeling valued and involved, training and development, job satisfaction, management, colleagues, equal opportunities, communication, current career intention are found to have significant positive correlation with Employee Engagement. iii.There was a significant negative relation between Employee Engagement and stress and work pressure. iv.The variable with highest influence on engagement was current career intension, followed by job satisfaction, pay & benefits, management, equal opportunities, and organization citizenship behavior. v.The variables colleagues, communication, training and development, feeling valued and involved were not found to have any significant impact on Employee Engagement. vi. There were significant differences in job satisfaction behavior between men and women professionals. Job satisfaction was significantly higher for women than for men. vii.There were significant differences in organizational citizenship behavior between men and women professional. The Organizational citizenship Behavior was higher for men than women. viii.There were significant differences in current career intension between different age groups. Current career intension was generally increasing with age, with the exception of the 41-45 yr. age group. There was no significant difference in other dimensions between age groups. ix.There was no significant difference in any of the dimensions based on work experience. x.There were significant differences in satisfaction with pay and benefits based on qualification. Satisfaction with pay and benefits was highest for professionals with PhDs, and lowest for post-graduates. xi.Stress and work pressure was highest for graduates, and lowest for PhDs there was no significant difference in other dimensions based on qualification. xii.There were significant differences in Employee Engagement and the type of companies. Employee Engagement was higher for professionals working in Multi National Companies than for those in Indian companies. xiii.Satisfaction with management was higher for professionals working in Multi National Companies than those working in Indian companies. xiv.Satisfaction with management was significantly higher for professionals working in Multi National Companies than those working in Indian companies. xv.Stress and work pressure was significantly higher for professionals working in Indian companies than those working in Indian companies. xvi.At a micro level analysis, it was found that type of IT company the employees belonged did not significantly differ among pay and benefits, feeling valued and involved, job satisfaction, colleagues, equal opportunities, training and development and current career intention. xvii.It was found that the driver qualification did not have any significant difference among feeling valued and involved, colleagues, equal opportunities, job satisfaction training and development and management. xviii.Gender did not significantly differ among the variables feeling valued and involved, colleagues, equal opportunities,training and development and current career intention, and management. xix.It was found that age did not significantly differ among any of the dimensions like feeling valued and involved, colleagues, equal opportunities, job satisfaction training and development and management. Length of service in the organization did not significantly differ among employees in any of the dimension. xx.It was found that there was no significant difference between Organizational citizenship Behavior, age of the employees, work experience of the employees, and qualification of the employees. xxi.It was found that there was no significant difference between Organizational citizenship Behavior, age of the employees, work experience of the employees, and qualification of the employees. xxii.It was found that male employees were satisfied with pay and benefits. xxiii.Female employees were feeling more valued and involved than male employees. xxiv.The female employees were more satisfied with the training and development activities. xxv.It was found that female employees had more levels of Employee Engagement than male employees. xxvi.It was found that female employees were more satisfied with management and colleagues. xxvii.Male employees seem to undergo more of stress and work related pressure than male employees. xxviii.It was found that male employees were more satisfied with communication and equal opportunities. xxix.Female employees had more intentions to stay with their companies than male employees. xxx.The level of Organizational citizenship Behavior was higher for men than women. xxxi.Employees working in MNCs were satisfied with pay and benefits, feeling valued and involved training and development. xxxii.Employee engagement level of MNC employees was higher than Indian employees. xxxiii.The stress and work pressure was higher for Indian employees than MNC employees. -
EMPLOYEE ENGAGEMENT: ANTECEDENTS AND CONSEQUENCES
Employee engagement is the emotional connection and dedication that employees feel towards their organisation. It is a term used to describe how dedicated, enthusiastic and involved employees are towards/with their job and the organisation they work for. Antecedents are the variables that influence and contribute towards employee engagement, while consequences are the outcomes linked with employee engagement. Attrition of intellectual capital, disengagement with work, issues of conflict with students, lack of job satisfaction, etc. in the centres of higher education are becoming a burgeoning problem and constructive employee engagement is seen as the solution to these issues. The present study aims to examine the factors responsible for employee engagement as well as the outcomes that are derived due to effective implementation of employee-engagement practices. Data has been collected from 117 faculty members of higher-education institutions from South India using simple random sampling. Data has been analysed with the help of Excel, SPSS and AMOS, using statistical tools like T-test, ANOVA and SEM. The proposed model reflects strong positive association between antecedent variables like autonomy, rewards and recognitions, and fair and equitable treatment and employee engagement, and job satisfaction, organisational commitment and intention to stay as the outcomes of employee engagement. 2024 Published by Faculty of Engineering. -
Employee experience, well-being and turnover intentions in the workplace
Purpose: This study aims to examine the role of employee experience in influencing employee well-being and turnover intentions within organizations. The mediating role of well-being will also be investigated, along with an exploration of whether these relationships differ across genders, specifically in the Indian corporate context. Design/methodology/approach: A descriptive, quantitative study was conducted using structured questionnaires to gather data from 111 employees in the Indian corporate sector. The study used a non-probability judgment sampling method. Data was analyzed through SPSS for descriptive and inferential statistics, and partial least squares was used to explore mediation and model fit. Findings: The study found a significant impact of employee experience on well-being, as well as a negative correlation between both employee experience and turnover intention and well-being and turnover intention. Well-being was found to partially mediate the relationship between employee experience and turnover intention. Gender-based analysis revealed no significant differences in the relationships between these variables for men and women. Originality/value: This research highlights the universal applicability of employee experience as a predictor of well-being and turnover intention, irrespective of gender. By establishing that gender does not moderate these relationships, this study provides new insights challenging traditional assumptions about gender disparities in workplace outcomes. 2024, Emerald Publishing Limited. -
Employee motivation for sustainable entrepreneurship: The mediating role of green hrm
This chapter aims to explore the relationship between employee motivation and sustainable entrepreneurship with a specific focus on the mediating role of green human resource management (HRM). As organizations increasingly recognize the importance of environmental sustainability, understanding the mechanisms through which employee motivation translates into sustainable entrepreneurial behaviors becomes crucial. By integrating concepts from the fields of entrepreneurship, sustainability, and HRM, this study proposes that Green HRM practices play a mediating role in fostering employee motivation for sustainable entrepreneurship. The findings of this research provide valuable insights for organizations seeking to enhance their sustainability efforts by leveraging employee motivation and implementing effective Green HRM strategies. 2023, IGI Global. All rights reserved. -
Employee Performance Prediction Model
With the dominance of knowledge power in the success of an organization, competent human resource has become crucial for realization of organizational objectives. Human Resource Management, HRM is a set of tasks to maintain and develop a proficient human resource. A performance appraisal process helps the HRM in identifying the strengths and weaknesses of an employee. This evaluation of employee is based on several different parameters according to the work domain and organizational objectives. This activity of employee evaluation has a high significance in making strategic decisions of manpower planning than just salary reviews. The objective of the prediction model constructed in the study is to assist HR personnel in decision making by predicting the performance of an employee. This study, has developed an Employee Performance Prediction Model which can predict the performance category of an employee. Academic industry data is used for the analysis. The supervised learning approach of classification has been first applied to the performance data to construct the model. The methodology adapted by the study is a five step process of Data preprocessing, Dimensionality Reduction, Application of classification algorithm to build the classifier and Evaluation of the classifier. Based on the hierarchical characteristics of the data, three different approaches ?? Direct, Hierarchical and Integrated are followed for the construction of the classifiers. A comparative analysis of the classifiers performances based on prediction accuracy and error rate is performed. Unsupervised learning approach is used to understand natural similarities among the employees to enhance the evaluation process. The thesis is organized into five chapters. Chapter1, Introduction, starts with a brief overview of HRM and presents the objective of the study and the problem statement. It further describes a typical KDD process and role of data mining in a KDD process. Chapter 2, Literature review, discusses background work in the field of data mining and HRM. Different models and techniques used in the context are described. Chapter 3, Methodology elaborately discusses the processes and techniques used for constructing the Employee Performance Prediction Model. Starting with the block diagram, the chapter elaborates the sequence of steps that led to the results. Chapter 4, Results and Discussion discusses the performance statistics of the different classifiers constructed in the study. Chapter 5, Conclusion, summarizes the inferences concluded based on the results obtained. The chapter also discusses limitations and challenges and concludes with future scope of the study. Keywords: Human Resource Management, Performance Appraisal, Knowledge discovery, Data Mining, Supervised Learning, Unsupervised Learning, Classification and Prediction. -
Employee performance prediction model /
With the dominance of knowledge power in the success of an organization, competent human resource has become crucial for realization of organizational objectives. Human Resource Management, HRM is a set of tasks to maintain and develop a proficient human resource. A performance appraisal process helps the HRM in identifying the strengths and weaknesses of an employee. This evaluation of employee is based on several different parameters according to the work domain and organizational objectives. This activity of employee evaluation has a high significance in making strategic decisions of manpower planning than just salary reviews. The objective of the prediction model constructed in the study is to assist HR personnel in decision making by predicting the performance of an employee. -
Employee relations: a comprehensive theory based literature review and future research agenda
This study aims to conduct a systematic and integrative literature review to consolidate the extensive information on employee relations accumulated over the past century, thereby offering new insights into domain-specific phenomena. The research followed a four-phase search strategy in accordance with the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The keyword search utilized terms such as 'employee relations,' 'employee relation,' 'employment relation,' and 'employment relations' in the Scopus and Web of Science databases. By employing an integrative approach along with specific inclusionexclusion criteria, the researchers synthesized articles from leading journals in the field of employee relations, categorizing them based on geographical region, article types, prominent authors and their affiliations, and the most cited research articles. In the final stage, the researchers presented new insights through a conceptual framework utilizing the ADO-TCCM approach, which encompasses antecedents, outcomes, theories, context, methodology, mediators, and moderators of employee relations. This study synthesizes findings and reorganizes key themes into innovative frameworks, providing fresh perspectives on various aspects of employee relations. Ultimately, it offers valuable insights into the critical factors that strengthen long-term employee-employer relationships. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Employees Job Satisfaction, Work-Life Balance, and Health During the Pandemic
The impact of the COVID-19 pandemic on private enterprises has been particularly noticeable in the IT and non-ITES sectors. Work came to a complete halt due to the ensuing lockdown, severely affecting businesses and further harming industries like aviation and hospitality. Widespread job losses, shortened workweeks, minimum wage reductions, short-term leave policies, and even company closures have been the results. To understand the extent of these impacts, a descriptive study was conducted online in AprilMay 2021, involving 2439 white-collar workers from various private companies. Convenient sampling methods were used to gather data on the experiences of employees in these sectors during the pandemic. The survey's findings demonstrate a positive but weak association between Work-Life Balance and Health Stress (r?=?0.24, p?<?0.01) and a positive low correlation between Work-Life Balance and Job Satisfaction (r?=?0.23, p?<?0.01). Therefore, work-life balance and job satisfaction among employees were significantly correlated throughout the epidemic. Additionally, there was a negative moderate correlation between Health Stress and Job Satisfaction (r?= ?0.48, p?<?0.01), indicating that as Health Stress decreases, Job Satisfaction increases at moderate levels. The implications of the study were discussed further. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Employer branding on the creation of anticipatory psychological contract
The process of the psychological contract (PC) starts before the employee joins the organisation. The brand of the company remains in the mind of candidates who apply for the job. Considering this relation, this research work is carried out to offer a detailed analysis of the position of employer branding (EB) in the formation of anticipatory psychological contracts (APCs) among millennials. The empirical study was carried out with a sample size of 330 respondents who are studying post-graduation management studies; these students are about to join the corporates. The outcomes of this study show that EB significantly impacts the PC. EB has a strong influence on relational expectations as compared to transactional expectations and employee obligations among potential employees. This paper helps recruitment managers to understand the expectations of potential employees and their beliefs towards their employers during the pre-employment phase. Copyright 2022 Inderscience Enterprises Ltd.