Teachers’ Turnover Intentions in View of Implementing a Flexible Learning System: An Extended Theory of Planned Behavior

Felix Costan, Gamaliel Gonzales, Roselyn Gonzales, Lislee Valle, Jacquiline Dela Cruz, Gerly Alcantara, Ryan Mahilum, Maria Diana Lauro, Nadine May Atibing, Angelo Burdeos, Kafferine Yamagishi and Lanndon Ocampo ()
Additional contact information
Felix Costan: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Gamaliel Gonzales: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Roselyn Gonzales: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Lislee Valle: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Jacquiline Dela Cruz: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Gerly Alcantara: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Ryan Mahilum: College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
Maria Diana Lauro: Educational Research and Resource Center, Cebu Technological University, Danao City 6004, Philippines
Nadine May Atibing: Center for Applied Mathematics and Operations Research, Cebu Technological University, Cebu City 6000, Philippines
Angelo Burdeos: Department of Business Administration, University of San Carlos, Cebu City 6000, Philippines
Kafferine Yamagishi: Center for Applied Mathematics and Operations Research, Cebu Technological University, Cebu City 6000, Philippines
Lanndon Ocampo: Center for Applied Mathematics and Operations Research, Cebu Technological University, Cebu City 6000, Philippines

Sustainability, 2022, vol. 14, issue 20, 1-28

Abstract: Recent reports associate teachers’ turnover intentions as a response to disruptions and transition of the teaching-learning process (e.g., flexible learning) due to the COVID-19 pandemic. This study explores the antecedents of teachers’ intention to teach in a flexible learning system (FLS) and their turnover intentions via an extended theory of planned behavior (TPB). Using a cross-sectional survey, 417 valid responses were analyzed to model this phenomenon, with self-efficacy and digital nativity as antecedent variables and job satisfaction and organizational commitment as predictors of teachers’ attitudes. We also examined whether the intention to teach in FLS is moderated by age. Results from Partial Least Squares-Structural Equation Modeling (PLS-SEM) generate insights from the 12 hypothesized paths of the proposed model. We uncover salient findings such as (1) the extended TPB model explains 61% of the overall variations of intention to teach in FLS, (2) attitude is positively explained by job satisfaction and organizational commitment, (3) digital nativity and self-efficacy positively influence the attitude, subjective norm, and perceived behavioral control in the context of teaching in FLS, with perceived behavioral control as the strongest predictor of teaching intention, (4) the negative relationship between intention to teach in FLS and turnover intention of teachers, and (5) age has no moderating effect on the teachers’ intention to teach in FLS. Some practical insights and future research works are outlined in light of these findings.

Keywords: turnover intention; flexible learning; theory of planned behavior; self-efficacy; digital nativity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/20/13009/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/20/13009/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:20:p:13009-:d:939281

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().