Mei Peng Low
Biographic Data
| ID | 4463997 |
|---|---|
| NAME | Mei Peng Low |
| GIVEN NAMES | Mei Peng |
| FAMILY NAME | Low |
| SIGNATURE | LOW M P |
| AFFILIATIONS | Universiti Tunku Abdul Rahman |
| ORCID | 0000-0002-3141-3081 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Using chatbot in education – A systematic review and research agenda
This paper examines the usage of chatbots in education context using a systematic review. Most of the latest reviews cover literature up to the year 2023 and before. There are hundreds of papers that have been published in the year 2024 and 2025. It is necessary to provide an updated systematic review of the topic. Two well-known databases, Web of Science and Scopus have been used in the study. Preferred Reporting Items for Systematic Review and …
Understanding Gig Work in Paving Towards Gig Economy Sustainability: Insights from Platform-Based Companies
The COVID-19 pandemic accelerated the expansion of the gig economy, driven by the widespread adoption of digital platforms and technological innovations. Although this growth has been thoroughly documented, the sustainability of gig work in the post-pandemic period remains underexplored. This study addresses this research gap by examining the post-pandemic gig economy, with a particular focus on low-skilled physical gig work in the on-demand deli…
The interplay of self-efficacy, artificial intelligence literacy and lifelong learning for career resilience among older employees: A comparison study between China and Malaysia
Lifelong learning and artificial intelligence competency as drivers of career resilience in older workers: An integrative study using PLS-SEM and necessary condition analysis
Malaysia is undergoing a rapid demographic transition and is projected to become an aging nation by 2057. This shift poses significant social and economic challenges, especially in the labor market, where a declining working-age population is particularly concerning. Amid rapid technological advancements, this study explores the roles of artificial intelligence (AI) competency and lifelong learning in enhancing older workers’ career resilience. E…
Deciphering organisational resilience through a confluence analysis of PLS-SEM, necessary condition analysis, and combined importance-performance map
Education level as a catalyst: Exploring the relationship between job autonomy, joy of work, and performance among low-skilled physical gig workers in Malaysia
The gig economy has experienced a rise due to the prominence of digital platforms and the worldwide pandemic, leading to many individuals losing their regular income and joining the gig economy. As this phenomenon expands worldwide, Malaysia is no exception. This study examines Malaysian gig work through the lens of the Job Demands-Resources Model (JD-R) by focusing on the unique aspects of job autonomy and joy of work towards the performance of …
Leveraging artificial intelligence to foster pro-environmental and green behavior in organizations: Insights from PLS-SEM and necessary condition analysis
As environmental sustainability becomes an increasingly critical priority for organizations, understanding the technological and psychological factors driving pro-environmental and green behaviors is essential. This study examines the impact of artificial intelligence usage on employee behaviors within service-based organizations. It focuses on currently employed individuals affiliated with these organizations with AI technology experience. This …
Beyond conventional adoption: New insights into AI facilitators in Higher Education Institutions
Guided by the self-regulation theory and the technology acceptance model, this study tests the major drivers of AI facilitators’ usage in higher education (HE) by incorporating self-regulation, academic buoyancy, trust, and agentic engagement to predict the continuance usage intention of AI facilitators. Primary data were gathered from HE students in Oman. Employing PLS-SEM, the results revealed that self-regulation and academic buoyancy positive…
Understanding Middle Leaders' Distributed Leadership Factors as Necessary and Sufficient Conditions for Fostering Teacher Commitment to Change
This study aims to examine which middle leaders' distributed leadership factors (cohesive leadership team, participative decision‐making, leadership support and leadership supervision) are sufficient and to what degree these four factors are necessary for fostering high teacher commitment to change (TCTC). Data were gathered from 1018 Malaysian primary school teachers. The partial least squares analysis indicated positive relationships between th…
Advancing on weighted PLS-SEM in examining the trust-based recommendation system in pioneering product promotion effectiveness
The advancement in digital technologies has led to an explosive information phenomenon, particularly in Internet shopping. This paper attempts to examine the trust element in the current pervasive use of the recommendation system for product promotion effectiveness. Owing to the nature of high-volume online consumers and the nonexistence of the online consumer sampling frame, sampling weight adjustment approach was utilised for ensuring sample re…
Examining the impetus for internal CSR Practices with digitalization strategy in the service industry during Covid‐19 pandemic
The year 2020 began with a glimpse into the darkness with the onset of the worldwide COVID‐19 pandemic. An invisible, threatening virus has forced many countries to practice restricted movement and impose lockdowns for the sake of their citizens’ safety and well‐being. In response, many business organizations have implemented various remote‐work arrangements. These arrangements have spurred the use of digitalization strategies and have landed man…
Leveraging artificial intelligence to foster pro-environmental and green behavior in organizations: Insights from PLS-SEM and necessary condition analysis
As environmental sustainability becomes an increasingly critical priority for organizations, understanding the technological and psychological factors driving pro-environmental and green behaviors is essential. This study examines the impact of artificial intelligence usage on employee behaviors within service-based organizations. It focuses on currently employed individuals affiliated with these organizations with AI technology experience. This …
Examining the impetus for internal CSR Practices with digitalization strategy in the service industry during Covid‐19 pandemic
The year 2020 began with a glimpse into the darkness with the onset of the worldwide COVID‐19 pandemic. An invisible, threatening virus has forced many countries to practice restricted movement and impose lockdowns for the sake of their citizens’ safety and well‐being. In response, many business organizations have implemented various remote‐work arrangements. These arrangements have spurred the use of digitalization strategies and have landed man…
Advancing on weighted PLS-SEM in examining the trust-based recommendation system in pioneering product promotion effectiveness
The advancement in digital technologies has led to an explosive information phenomenon, particularly in Internet shopping. This paper attempts to examine the trust element in the current pervasive use of the recommendation system for product promotion effectiveness. Owing to the nature of high-volume online consumers and the nonexistence of the online consumer sampling frame, sampling weight adjustment approach was utilised for ensuring sample re…
Understanding Middle Leaders' Distributed Leadership Factors as Necessary and Sufficient Conditions for Fostering Teacher Commitment to Change
This study aims to examine which middle leaders' distributed leadership factors (cohesive leadership team, participative decision‐making, leadership support and leadership supervision) are sufficient and to what degree these four factors are necessary for fostering high teacher commitment to change (TCTC). Data were gathered from 1018 Malaysian primary school teachers. The partial least squares analysis indicated positive relationships between th…
Understanding Gig Work in Paving Towards Gig Economy Sustainability: Insights from Platform-Based Companies
The COVID-19 pandemic accelerated the expansion of the gig economy, driven by the widespread adoption of digital platforms and technological innovations. Although this growth has been thoroughly documented, the sustainability of gig work in the post-pandemic period remains underexplored. This study addresses this research gap by examining the post-pandemic gig economy, with a particular focus on low-skilled physical gig work in the on-demand deli…
The interplay of self-efficacy, artificial intelligence literacy and lifelong learning for career resilience among older employees: A comparison study between China and Malaysia
Lifelong learning and artificial intelligence competency as drivers of career resilience in older workers: An integrative study using PLS-SEM and necessary condition analysis
Malaysia is undergoing a rapid demographic transition and is projected to become an aging nation by 2057. This shift poses significant social and economic challenges, especially in the labor market, where a declining working-age population is particularly concerning. Amid rapid technological advancements, this study explores the roles of artificial intelligence (AI) competency and lifelong learning in enhancing older workers’ career resilience. E…
Deciphering organisational resilience through a confluence analysis of PLS-SEM, necessary condition analysis, and combined importance-performance map
Education level as a catalyst: Exploring the relationship between job autonomy, joy of work, and performance among low-skilled physical gig workers in Malaysia
The gig economy has experienced a rise due to the prominence of digital platforms and the worldwide pandemic, leading to many individuals losing their regular income and joining the gig economy. As this phenomenon expands worldwide, Malaysia is no exception. This study examines Malaysian gig work through the lens of the Job Demands-Resources Model (JD-R) by focusing on the unique aspects of job autonomy and joy of work towards the performance of …
Leveraging artificial intelligence to foster pro-environmental and green behavior in organizations: Insights from PLS-SEM and necessary condition analysis
As environmental sustainability becomes an increasingly critical priority for organizations, understanding the technological and psychological factors driving pro-environmental and green behaviors is essential. This study examines the impact of artificial intelligence usage on employee behaviors within service-based organizations. It focuses on currently employed individuals affiliated with these organizations with AI technology experience. This …
Beyond conventional adoption: New insights into AI facilitators in Higher Education Institutions
Guided by the self-regulation theory and the technology acceptance model, this study tests the major drivers of AI facilitators’ usage in higher education (HE) by incorporating self-regulation, academic buoyancy, trust, and agentic engagement to predict the continuance usage intention of AI facilitators. Primary data were gathered from HE students in Oman. Employing PLS-SEM, the results revealed that self-regulation and academic buoyancy positive…
Using chatbot in education – A systematic review and research agenda
This paper examines the usage of chatbots in education context using a systematic review. Most of the latest reviews cover literature up to the year 2023 and before. There are hundreds of papers that have been published in the year 2024 and 2025. It is necessary to provide an updated systematic review of the topic. Two well-known databases, Web of Science and Scopus have been used in the study. Preferred Reporting Items for Systematic Review and …
Business (6 works) · Psychology (6 works) · Political science (5 works) · Computer Science (3 works) · Engineering (3 works) · Knowledge management (3 works) · Pedagogy (3 works) · Public relations (3 works) · Social Psychology (3 works) · AI in Service Interactions (2 works)