IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13009-d939281.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Educational Research and Resource Center, Cebu Technological University, Danao City 6004, Philippines)

  • Roselyn Gonzales

    (College of Education at Danao Campus, Cebu Technological University, Danao City 6004, Philippines
    Educational Research and Resource Center, 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
    Department of Tourism Management, Cebu Technological University, Corner M. J. Cuenco Ave. & R. Palma St., Cebu City 6000, Philippines)

  • Lanndon Ocampo

    (Center for Applied Mathematics and Operations Research, Cebu Technological University, Cebu City 6000, Philippines)

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.

Suggested Citation

  • Felix Costan & Gamaliel Gonzales & Roselyn Gonzales & Lislee Valle & Jacquiline Dela Cruz & Gerly Alcantara & Ryan Mahilum & Maria Diana Lauro & Nadine May Atibing & Angelo Burdeos & Kafferine Yamagis, 2022. "Teachers’ Turnover Intentions in View of Implementing a Flexible Learning System: An Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 14(20), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13009-:d:939281
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13009/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13009/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mishra, Sushreeta & Mehran, Babak & Sahu, Prasanta K., 2020. "Assessment of delivery models for semi-flexible transit operation in low-demand conditions," Transport Policy, Elsevier, vol. 99(C), pages 275-287.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Jenny Meyer, 2011. "Workforce age and technology adoption in small and medium-sized service firms," Small Business Economics, Springer, vol. 37(3), pages 305-324, October.
    5. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    6. Mariia Rizun & Artur Strzelecki, 2020. "Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    7. Wunong Zhang & Yuxin Wang & Lili Yang & Chuanyi Wang, 2020. "Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak," JRFM, MDPI, vol. 13(3), pages 1-6, March.
    8. Eric A. Hanushek & EJohn F. Kain & Steven G. Rivkin, 2004. "Why Public Schools Lose Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    9. Francisco Rodríguez-Cifuentes & Jesús Farfán & Gabriela Topa, 2018. "Older Worker Identity and Job Performance: The Moderator Role of Subjective Age and Self-Efficacy," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
    10. Adriana AnaMaria Davidescu & Simona-Andreea Apostu & Andreea Paul & Ionut Casuneanu, 2020. "Work Flexibility, Job Satisfaction, and Job Performance among Romanian Employees—Implications for Sustainable Human Resource Management," Sustainability, MDPI, vol. 12(15), pages 1-53, July.
    11. Ryad Titah & Henri Barki, 2009. "Nonlinearities Between Attitude and Subjective Norms in Information Technology Acceptance : A Negative Synergy?," Post-Print hal-02311839, HAL.
    12. Lars Kolvereid, 1996. "Prediction of Employment Status Choice Intentions," Entrepreneurship Theory and Practice, , vol. 21(1), pages 47-58, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Greg Jr. Mapacpac & Antonio Yango, 2023. "Workplace Empowerment, Job Satisfaction, and Teaching Performance of Public Senior High School Teachers' in City Schools Division in the Province of Laguna," Technium Social Sciences Journal, Technium Science, vol. 44(1), pages 259-282, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    2. Kim, Youngseek & Adler, Melissa, 2015. "Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories," International Journal of Information Management, Elsevier, vol. 35(4), pages 408-418.
    3. Teng Yu & Jian Dai & Chengliang Wang, 2023. "Adoption of blended learning: Chinese university students’ perspectives," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    4. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    5. Carlos Bazan, 2022. "Effect of the University’s Environment and Support System on Subjective Social Norms as Precursor of the Entrepreneurial Intention of Students," SAGE Open, , vol. 12(4), pages 21582440221, October.
    6. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    7. Nosheena Yasir & Nasir Mahmood & Hafiz Shakir Mehmood & Osama Rashid & An Liren, 2021. "The Integrated Role of Personal Values and Theory of Planned Behavior to Form a Sustainable Entrepreneurial Intention," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    8. Fayolle, Alain & Liñán, Francisco, 2014. "The future of research on entrepreneurial intentions," Journal of Business Research, Elsevier, vol. 67(5), pages 663-666.
    9. Zellweger, Thomas & Sieger, Philipp & Halter, Frank, 2011. "Should I stay or should I go? Career choice intentions of students with family business background," Journal of Business Venturing, Elsevier, vol. 26(5), pages 521-536, September.
    10. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    11. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    12. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    13. António Porfírio, José & Augusto Felício, José & Carrilho, Tiago & Jardim, Jacinto, 2023. "Promoting entrepreneurial intentions from adolescence: The influence of entrepreneurial culture and education," Journal of Business Research, Elsevier, vol. 156(C).
    14. Garín-Muñoz, Teresa & López, Rafael & Pérez-Amaral, Teodosio & Herguera, Iñigo & Valarezo, Angel, 2019. "Models for individual adoption of eCommerce, eBanking and eGovernment in Spain," Telecommunications Policy, Elsevier, vol. 43(1), pages 100-111.
    15. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    16. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    17. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    18. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    19. repec:dgr:rugsom:04f04 is not listed on IDEAS
    20. Muhammad Rizwan & Hamna Sultan & Sadia Parveen & Shumaila Nawaz & Samreen Sattar & Maryam Sana, 2013. "Determinants of Online Shopping and Moderating Role of Innovativeness and Perceived Risk," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(2), pages 142-159, February.
    21. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13009-:d:939281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.