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Vedapradha R.; Hariharan R.; Sudha E.; Divyashree V. – International Journal of Information and Learning Technology, 2024
Purpose: The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach: A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of…
Descriptors: Artificial Intelligence, Higher Education, Administrators, Recruitment
Kaur, Rajwinder; Shah, Reena – European Journal of Training and Development, 2022
Purpose: Drawing from the instrumental and symbolic framework for employer branding, this study aims to explore the perception of the current and potential employees for the Indian armed forces' employer brand. Design/methodology/approach: The study is conducted as a mixed-method approach in the form of qualitative and quantitative phases. In the…
Descriptors: Foreign Countries, Employers, Marketing, Consumer Economics
Anwesa Das; Vinay Kumar; Aditya Narayan Hati; Sharda Bharti – IEEE Transactions on Education, 2024
Machine learning (ML) is increasingly utilized in the development and assurance of safety-critical systems (SCSs) nowadays, much like other complex problems. Safety is the topmost priority in SCS, hence, developers who are working in this area must possess extensive knowledge of both ML and SCS. This article presents a methodical investigation…
Descriptors: Artificial Intelligence, Computer Security, Engineering Education, Engineering
Kulal, Abhinandan; Dinesh, Sahana; N., Abhishek; Ur Rahiman, Habeeb – Cogent Education, 2023
The demand for distance education has been increasing over the years, and this has gained momentum especially in the post-pandemic period. This development has caused a debate among the academicians as to whether distance education mode serves the real purpose of education as In-person learning does. Even though the method of schooling is not a…
Descriptors: Distance Education, In Person Learning, Foreign Countries, Comparative Analysis
Subramanian, Nagamani; Suresh, M. – Learning Organization, 2022
Purpose: The goal of this research is to create a conceptual model that identifies the relationship between organizational learning and green human resource management practices and its contribution to the circular economy. The focus of this research is to identify the organizational learning and green human resource factors that lead to a more…
Descriptors: Models, Organizational Learning, Labor Force Development, Economic Factors
Subramanian, Nagamani; Suresh, M. – Learning Organization, 2022
Purpose: Circular economy has emerged as one of the most important approaches to addressing environmental challenges. Organizations have begun to act on their abilities to enhance their sustainability management to enable a circular economy. The role of organizational learning and green human resource management in the transition to a more…
Descriptors: Models, Organizational Learning, Labor Force Development, Economic Factors
B., Naresh; M., Rajalakshmi – International Journal of Information and Communication Technology Education, 2020
Higher education is enduring a transition across the world. This transition leads to the introduction of technology into the education system and provides opportunities to pursue a degree through online participation. According to Bramble and Panda, globalization plays a vital role in recognizing the necessity of providing online learning…
Descriptors: Employer Attitudes, Personnel Selection, Electronic Learning, Recruitment
Dhingra, Meenakshi; Kundu, Subhash C. – Industry and Higher Education, 2021
This paper assesses students' perceptions concerning the level of campus placement activities of their higher education institution (HEI) and determines the order of importance of various factors, as perceived by students, relating to employers' selection criteria. Primary data based on the responses of 621 students in 29 HEIs operating in the…
Descriptors: Job Placement, Personnel Selection, Selection Criteria, Employment Interviews
Chankseliani, Maia; Anuar, Aizuddin Mohamed – International Journal for Research in Vocational Education and Training, 2019
Purpose: A fundamental assumption of the apprenticeship model is that there are benefits to both employers and individual learners. This study offers a broad conceptual interrogation of this inherent assumption underpinning the apprenticeship model. Approach: This study combines analysis of literature and available data and draws upon…
Descriptors: Foreign Countries, Comparative Education, Apprenticeships, Incentives
Skinner, Makala; Santos, Mikaela; Luo, Ning; Mackie, Chris – World Education Services, 2020
The COVID-19 crisis has profoundly disrupted U.S. higher education, affecting both institutions and people, including students, faculty, and staff. To understand the potential impact of the coronavirus on U.S. international higher education, WES Research surveyed prospective international and immigrant students interested in studying in the U.S.;…
Descriptors: COVID-19, Pandemics, Foreign Students, Immigrants
Arora, Anju – Journal of International Education and Leadership, 2015
This paper explores the issues underlying the credit risk governance mechanism of banking institutions in emerging economies. This is an important area of study given the essential role that banks play in the financial markets of emerging economies and the widespread banking reforms that these economies have implemented. The aim of this study is…
Descriptors: Foreign Countries, Credit (Finance), Risk, Risk Assessment
Gokuladas, V. K. – International Journal of Training and Development, 2010
India's substantial growth in recent years has resulted in a significant increase in demand for engineers. Information technology companies, now a major part of the Indian private sector, have been prominent in such recruitment, but the competences they seek in engineering students appear to be different in terms of priorities from those sought by…
Descriptors: Engineering Education, Employment Potential, Private Sector, College Graduates