Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 4 October 2021

Mung Khie Tsen, Manli Gu, Chee Meng Tan and See Kwong Goh

More companies embrace flexible work arrangements (FWA) as one of their employee retention strategies, yet its effectiveness is not consistent. Generally, past researchers use the…

4239

Abstract

Purpose

More companies embrace flexible work arrangements (FWA) as one of their employee retention strategies, yet its effectiveness is not consistent. Generally, past researchers use the social exchange theory to explain how FWA lowers turnover intention, while the rest adopts the border theory to justify why FWA can be ineffective. Here, the authors compare the competing theories for the first time to differentiate the theoretical reasoning of three forms of FWA (flex time, flex leave and homeworking). Two mediators (organisational commitment and work−family conflicts) are chosen to represent the mechanism of each theory.

Design/methodology/approach

The authors employ the latest wave of the International Social Survey Program (ISSP) Work Orientation Module from 2015. Based on nationally representative data from 35 nations and 17,604 participants, the authors employed simple mediation and parallel double-mediation models via bootstrapping procedures to investigate the theoretical reasoning behind each FWA.

Findings

The results indicate that organisational commitment and work−family conflicts as significant mediators in all models, supporting both theories. The authors first tested each mediator in separated models. In models concerning the social exchange theory, all FWA lead to increased organisational commitment before lowering turnover intention, implying the beneficial outcomes of FWA. However, findings also support the border theory's perspective where flex time and homeworking increase turnover intention through heightened work−family conflicts. The parallel double-mediation further suggests that all three FWA forms have their unique theoretical framework, impacting turnover intention differently.

Originality/value

Both the social exchange theory and border theory are well-developed theories but grounded on different theoretical reasoning. This is the first paper that compares both theoretical perspectives in the context of FWA. It offers a new perspective in explaining the inconclusive effectiveness of FWA and provides future researchers a more integrated interpretation and prediction of FWA's impact on turnover intention.

Details

International Journal of Sociology and Social Policy, vol. 42 no. 11-12
Type: Research Article
ISSN: 0144-333X

Keywords

Access Restricted. View access options
Book part
Publication date: 25 November 2024

Mei Kei Leong, Karen Tsen Mung Khie, Aqilah Yaacob, Thivashini B Jaya Kumar and Thanuja Rathakrishnan

Artificial Intelligence (AI) is widely used in higher education teaching and learning. This trend of AI integration will continue to emerge within the education system. To stay…

Abstract

Artificial Intelligence (AI) is widely used in higher education teaching and learning. This trend of AI integration will continue to emerge within the education system. To stay ahead of the curve in the education realm, educators shall involve the usage of AI in teaching activities, assessments, and learning experiences. This book chapter aimed to highlight the challenges faced by higher education while proposing refined solutions to educators in involving the usage of AI tools in their teaching pedagogy. The suggested solutions were drafted from three different perspectives of AI to be integrated into its curriculum, namely the 3As triadic approach. Activities are identified as the essential asset to fostering a collaborative learning environment encouraging students to make use of cocreated AI in activities creation. Meanwhile, assessment preparation requires rigorous restrictions on AI usage to portray higher order thinking skills while abiding by ethical guidelines and legal framework. Academic content is prudent in ensuring latest findings and research are credible while bridging the gap between interactive academic materials with students' learning outcomes. Concurrently, we highlighted several approaches to achieve AI collaborative learning and enhance students' experience.

Details

The Evolution of Artificial Intelligence in Higher Education
Type: Book
ISBN: 978-1-83549-487-5

Keywords

Available. Content available
Book part
Publication date: 25 November 2024

Free Access. Free Access

Abstract

Details

The Evolution of Artificial Intelligence in Higher Education
Type: Book
ISBN: 978-1-83549-487-5

1 – 3 of 3
Per page
102050