Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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All Journal International Journal of Business, Management and Economics Journal of Business Management and Economic Development
Adam, Abdul-Kahar
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences Other

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Concept Paper on The Efficacies and Twist of Human Resource Management future with the New Era of Coronavirus Pandemic (Covid-19) for Organisational and Institutional Action Adam, Abdul-Kahar; Manu, Isaac Yaw
International Journal of Business, Management and Economics Vol. 2 No. 4 (2021): International Journal of Business, Management and Economics
Publisher : Training & Research Institute - Jeramba Ilmu Sukses (TRI-JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/ijbme.v2i4.455

Abstract

The essence of this paper is eminent to advance the study of Human Resource Management (HRM) in the profound new directions that has been introduced due to the covid-19 pandemic. This particular review elaborates on the following such as: Challenges Caused by Covid-19 to HRM Principles and Practice, HRM Outlook within Continents in this Coronavirus Pandemic, How Information Technology can still grow HRM in new Practices, The Case of HRM Practice in Developing World with Covid-19, How Both National and International HRM Practice is portrayed with Covid-19, Moving Forward with HRM Practice and Covid-19, and Organisational and Institutional Challenges and Demands in HRM Policies and Law. The general conclusion with this new Human Resource Management is associated with massive application of technology that Human Resource Management practices in various organisational operations and ways of doing things in the traditional HRM way has changed. Many of the roles are been performed remotely using internet and relevant HRM laws, applications and policies to deliver in managing work and the people. This is eminent for HRM practitioners and professionals to further educate and train themselves in this covid-19 era to avert themselves with the new principles instituted by organisations and governments in the area of HRM of activities and people. In this review the HRM is been twisted and thereby its efficacies are challenged which is why this new study is important to the practitioners and professionals to adapt and/or adopt.
Business Research Methods and Methodology in Practice: Understanding the Advanced SmartPls Path Models in Structural Equation Modeling Adam, Abdul-Kahar
Journal of Business Management and Economic Development Том 4 № 01 (2026): Journal of Business Management and Economic Development
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jbmed.v4i01.2189

Abstract

The purpose of this paper is to advocate the use of SmartPLS in scientific research by adopting business methodologies and variables, namely discipline, good governance, and probity. The aim is to present the findings and data analysis using SmartPLS 4.1.1.4 components. The study population comprised 187 students in the Level 300 HRM class, and a sample size of 126 was determined using Krejcie and Morgan's (1970) formula. The results were based on factor loadings, discriminant validity, composite reliability, and collinearity statistics. The findings indicate that the outer loadings with appropriate p-values indicate that the majority of the factors are significantly loaded. But it is not a surprise that 1a. <- Good Governance, 1c. <- Good Governance, and 2a. <- Control of Corruption is not significantly loaded because it means that there are certain effects that affect Good Governance and the control of corruption. Responsibility and Discipline failed the discriminant validity test, indicating that the Follow Responsibility factor and the Discipline variable were not in agreement with the measurement, implying that certain factors affect this variable-factor relationship. SmartPLS 4.1.1.4 App was used to run the data.
Co-Authors Manu, Isaac Yaw