{"title":"Measuring Employability Skills of Budding IT Professionals in India","authors":"Khushbu Khurana, R. Misra","doi":"10.4018/ijhcitp.2021010104","DOIUrl":"https://doi.org/10.4018/ijhcitp.2021010104","url":null,"abstract":"The purpose of this study is to identify employability skills among aspiring engineering graduates and develop measurement scale to assess their skill sets. This research has been conducted in two phases: Phase 1 covers the scale development process and Phase 2 covers exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and validation. The findings of EFA resulted in ten factors of employability. Subsequently, CFA identified nine different factors: leadership, critical thinking, numeracy, sociability, using technology, planning and organizing, problem-solving, teamwork, and emotional intelligence skills. The values of CFA met the acceptance level of different fit indices and thus, resulted in a good model fit. Further, the internal consistency of the total scale yielded Cronbach's alpha value (α = 0.82). The threshold values of CR, AVE, and MSV also met the required criteria. Thus, it received a valid and reliable 26-item measurement scale of employability which can prove to be useful for academia, students, and employers in computer science and information technology.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84126653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disclosure of Human Capital Practices: The Case of the GCC Banking Sector","authors":"I. Ahmed","doi":"10.4018/ijhcitp.2021010103","DOIUrl":"https://doi.org/10.4018/ijhcitp.2021010103","url":null,"abstract":"The objective is to assess the disclosure practices of human capital in the banking sector of the Gulf Council Countries. This study aims to assess the level and quality of human capital disclosure and to investigate the consistency among countries. The study investigates the human disclosure practice of eight banks from each the six gulf countries with a total of 48 banks out of the 56 national banks over five years. The paper develops the variables of the disclosure index based on long discussion with professional and researchers. The disclosure index is computed for each variable for all banks under the sample. Compensation comes as the most disclosed variable with an average score of 2.87 Whereas knowledge is the least disclosed variable with an average score of 0.75. The Bahrain banks score the first level of disclosure with a disclosure score of 391, followed by UAE, Qatar, and Kuwait.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86056267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating Factors Influencing the Adoption of IT Cloud Computing Platforms in Higher Education: Case of Sub-Saharan Africa With IT Professionals","authors":"K. Hiran","doi":"10.4018/IJHCITP.2021070102","DOIUrl":"https://doi.org/10.4018/IJHCITP.2021070102","url":null,"abstract":"Cloud computing has become an emerging IT platform for productive services and efficient use of innovation in higher education. The purpose of this research study is to investigate the factors that influence the adoption of cloud computing in Sub-Saharan Africa under Ethiopian higher education. These factors professed to influence the adoption of cloud computing built on the integrated framework of technology-organization-environment (TOE) framework, diffusion of innovation (DoI) theory, and sociocultural theory. In-depth interviews have been taken with the University of Gondar key professionals in Ethiopia to accomplish this research study. The results show that the organisational factors are more influential factors than the technological, environmental, and sociocultural factors to the adoption of cloud computing (CC) in the Ethiopian higher education (EHE) sector. This qualitative study aids researchers and practitioners in the field of IT technology cloud to employ these key factors suggestive to cloud computing adoption in the higher educational institutions.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76082866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advance Resource Planning in Hospital Emergency Departments Using Machine Learning Techniques","authors":"S. Rawat, Rubeena Sultana","doi":"10.4018/IJHCITP.2021070105","DOIUrl":"https://doi.org/10.4018/IJHCITP.2021070105","url":null,"abstract":"Accidents are likely to happen at workplaces which requires employees to rush to the hospitals for emergency treatment. Due to increase in population, treating various medical cases has led to longer waiting times at emergency treatment units (ETUs). The reasons being the ambulance divergence, less staff, and reduced management. An approach to decrease overcrowding at ETU can be the application of modern techniques. Machine learning (ML) is the one which is used to find patients with high illness, therefore developing models that can avoid jams at ETU. In this paper, a new ML technique, light GBM (LGBM), is implemented to increase the predictions rate based on data gathered from hospitals of Northern Ireland. In addition, the proposed model is compared to other ML models such as decision tree and gradient boosted machines (GBM). Test results indicate that LGBM is more efficient with an accuracy of 86.07%. Also, the time taken to produce future predictions by LGBM was 12 milliseconds, whereas decision tree and GBM took 16 milliseconds and 20 milliseconds, respectively.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91003829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Work-Family Conflict on Career Development of Knowledge Workers in Indian IT Sector: Examining Moderating Effect of Age","authors":"T. Kumari, R. Vangapandu","doi":"10.4018/IJHCITP.2021070103","DOIUrl":"https://doi.org/10.4018/IJHCITP.2021070103","url":null,"abstract":"Work-family conflict is one of the major problems that influence career development of knowledge workers in the information technology (IT) sector. The purpose of the paper is to examine the relation between work-family conflict and career development with the moderating effect of age. The data was collected from 278 knowledge workers (IT professionals) employed in different IT companies across India. The data is analysed with descriptive statistics, correlation, and hierarchical regression through statistical package for the social sciences (SPSS) 21.0 software, AMOS for structural equation modelling (SEM) analysis, and interaction software for analyzing interaction item age. The results of the study revealed that there is a negative relation between work-family conflict and career development. In addition, the findings also supported that age moderates the relation between work-family conflict and career development. This study is important to IT companies, which will provide useful insights in managing the employees' well-being.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74194670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Intelligent Design of Avatar-Based Control With Application to Human Capital Management","authors":"V. Mkrttchian, S. Chernyshenko","doi":"10.4018/ijhcitp.2021010102","DOIUrl":"https://doi.org/10.4018/ijhcitp.2021010102","url":null,"abstract":"The article is devoted to modern digital technologies of management. A new approach to construct digital avatars has been proposed. It combines knowledge-based self-learning mechanisms and switching decision-making properties, based on using differential equations with special structure. As a main field of methodology's application, the field of human capital management has been considered. It is shown that the approach can essentially increase efficiency of HR activity. Some problems of using the method have been mentioned also. The article has mainly theoretical character, although practical aspects of the problem has been discussed.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79250687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What Is Required to Be a Data Scientist?: Analyzing Job Descriptions With Centering Resonance Analysis","authors":"Filipe Baumeister, M. Barbosa, R. R. Gomes","doi":"10.4018/ijhcitp.2020100102","DOIUrl":"https://doi.org/10.4018/ijhcitp.2020100102","url":null,"abstract":"This study characterized required skills and competences for data specialist roles by analysing job advertisements for data scientists and other related professionals. It was performed using a content analysis technique named centring resonance analysis (CRA). With the support of this technique, demanded skills were grouped into categories that allow a better understanding of each role as well as differences and similarities among roles were observed and analysed. This study also summarized our findings in an orientation framework to classify six data specialists' roles according to business and technical skills as well as to experience and educational demands. Professional experience seems, in general, to be more valued than academic background. This work sheds light on better differentiating job roles related to data science, which could guide companies that recruit such specialists by better defining job requirements. For universities, these findings support the development of new analytics and data science programs.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81891048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Job Satisfaction and Motivation Study of Distinct Gender Perspective in IT Sector","authors":"V. Sinha, S. Bhatt","doi":"10.4018/ijhcitp.2020100101","DOIUrl":"https://doi.org/10.4018/ijhcitp.2020100101","url":null,"abstract":"Organizations function as social systems where human resources are the most vital factors for performance and success. They have realized the need for a motivated and diverse set of employees to achieve milestones at an accelerated pace. At the same time, women in the male-dominated information technology industry are perceived to face unique challenges and use distinct coping strategies affecting their motivation and retention. Both primary and secondary data was collected for the research work. Secondary data was collected from journals, newspapers, magazines on the subject and the internet sources. Primary data was collected from the IT professionals of both genders. The primary instrument for data collection was a survey through structured questionnaire (see Appendix). The method used in the study was random sampling. Collected data was processed, analyzed, and interpreted to draw the valid inferences. Gender perspectives on motivating factors, changes in HR policies for IT professionals, strategy and tactics are suggested to address the situation.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83116884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Perspective on Work-Life Balance and Its Determinants","authors":"Sonali Bhattacharya, N. Neelam, K. Rajagopal","doi":"10.4018/ijhcitp.2020100103","DOIUrl":"https://doi.org/10.4018/ijhcitp.2020100103","url":null,"abstract":"With a changing demography and social structure, the work life balance (WLB) is a major concern felt by employees of most organizations. This study has attempted to have relook at the constructs of work-life balance from the perspectives of banking and information technology employees with various household structures. The present study develops a multidimensional work-life balance scale to measure existing levels of work-life balance. The scale considers work-life balance as a multidimensional second order construct comprising workplace inclusion, family support, employee benefit, time management, coworker relationship, and supervisor-subordinate relationship. The study reveals not only indicators of organizational family work culture, but also personal characteristics such as time management and familial support determine work-life balance. However, no significant difference was perceived in the work life balance was found between employees with different family structures and between the two sectors considered under the study. Also, there was no significant difference in perception of work life- balance between knowledge workers from IT and banking sectors.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87428192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role of the Human Capital in the Corruption-Economic Growth Nexus: A VECM Approach to the Case of Tunisia","authors":"T. Chokri, E. Anis","doi":"10.4018/ijhcitp.2020100104","DOIUrl":"https://doi.org/10.4018/ijhcitp.2020100104","url":null,"abstract":"This article examines the corruption effects on economic growth in Tunisia during the period 1987 to 2016. The model used in this study is an extension of Solow's model by defining corruption in the field of technical progress. In order to delineate the role of the human capital in corruption, the study sets out to estimate the model firstly in the absence and in the presence of human capital. One outstanding result of VECM estimations is that, in the long run, the human capital plays a key role in the increase of the effect of the total corruption and the decrease in the effect of the growth of the population without effecting a change in the physical capital. In the short term, human capital allows to transform the negative effect of the delayed variable output into a positive one. It also increased the effect of total corruption and made the effect of physical capital positive.","PeriodicalId":54025,"journal":{"name":"International Journal of Human Capital and Information Technology Professionals","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79630857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}