The Impact of Perceived School Support on Digital Teaching Behavior: The Mediating Role of Digital Teaching Efficacy and Knowledge Sharing
Keywords:
Perceived School Support (PSS); Digital Teaching Efficacy (DTE); Knowledge Sharing (KS); Digital Teaching Behavior (DTB); Social Exchange Theory (SET)Abstract
Drawing on social exchange theory (SET), this study examined how perceived school support (PSS) enhances university teachers’ digital teaching behavior (DTB) through the serial mediation of digital teaching efficacy (DTE) and knowledge sharing (KS). A survey of 655 university teachers across 11 provinces in China revealed that PSS significantly enhances DTB (direct effect = 0.253, p < 0.001). Both DTE and KS mediated the relationship between PSS and DTB, with effect sizes of 0.162 (p < 0.001) and 0.057 (p < 0.001), respectively. Additionally, DTE and KS demonstrated as a serial mediation pathway, with an effect size of 0.043 (p < 0.001). As the first study to validate the sequential DTE?KS pathway in the PSS-DTB nexus, this research extends beyond prior single-mediator models by revealing how school support cascades through efficacy beliefs to collaborative exchanges. These findings demonstrate that institutional support directly and indirectly drive digital teaching through efficacy-building and knowledge-sharing mechanisms. Theoretically, this offers a novel framework for interpreting technology adoption in academia; practically, it provides actionable strategies for administrators while highlighting cross-cultural validation and intervention efficacy as critical future research priorities.
https://doi.org/10.26803/ijlter.24.8.7
References
Ahmad, F., & Karim, M. (2019). Impacts of knowledge sharing: review and directions for future research. Journal of Workplace Learning, 31(3), 207-230. https://doi.org/10.1108/jwl-07-2018-0096
Ahmad, F., & Widén, G. (2018). Knowledge sharing and language diversity in organisations: Influence of code switching and convergence. European Journal of International Management, 12(4), 351. https://doi.org/10.1504/ejim.2018.092839
Ahmad, R., Nawaz, M. R., Ishaq, M. I., Khan, M., & Ashraf, H. A. (2023). Social exchange theory: Systematic review and future directions. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1015921
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Akosile, A., & Olatokun, W. (2019). Factors influencing knowledge sharing among academics in Bowen University, Nigeria. Journal of Librarianship and Information Science, 52(2), 410–427. https://doi.org/10.1177/0961000618820926
Alenezi, M. (2023). Digital learning and digital institution in higher education. Education Sciences, 13(1), 88. https://doi.org/10.3390/educsci13010088
Al-Husseini, S., Beltagi, I. E., & Moizer, J. (2019). Transformational leadership and innovation: the mediating role of knowledge sharing amongst higher education faculty. International Journal of Leadership in Education, 24(5), 670–693. https://doi.org/10.1080/13603124.2019.1588381
Arsawan, I. W. E., Wirga, I. W., Rajiani, I., & Suryantini, N. P. S. (2020). Harnessing knowledge sharing practice to enhance innovative work behavior: The paradox of social exchange theory. Polish Journal of Management Studies, 21(2), 60–73. https://doi.org/10.17512/pjms.2020.21.2.05
Blau, P. M. (1964). Exchange and power in social life. New York, NY: Wiley.
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303–316. https://doi.org/10.1177/0049124189017003004
Chan, S., Maneewan, S., & Koul, R. (2021). An examination of the relationship between the perceived instructional behaviours of teacher educators and pre-service teachers’ learning motivation and teaching self-efficacy. Educational Review, 75(2), 264-286. https://doi.org/10.1080/00131911.2021.1916440
Chang, T.-S., McKeachie, W., & Lin, Y.-G. (2009). Faculty perceptions of teaching support and teaching efficacy in Taiwan. Higher Education, 59(2), 207-220. https://doi.org/10.1007/s10734-009-9243-8
Chen, H., & Eyoun, K. (2021). Do mindfulness and perceived organizational support work? Fear of COVID-19 on restaurant frontline employees’ job insecurity and emotional exhaustion. International Journal of Hospitality Management, 94, 28-50. https://doi.org/10.1016/j.ijhm.2020.102850
Chiu, T. K. F. (2022). School learning supports teacher technology integration from a self-determination theory perspective. Educational Technology Research and Development, 70(3), 931–949. https://doi.org/10.1007/s11423-022-10096-x
Chiu, M., Cheng, T., & Lin, C. (2023). Driving open innovation capability through new knowledge diffusion of integrating intrinsic and extrinsic motivations in organizations: Moderator of individual absorptive capacity. Journal of the Knowledge Economy, 15(1), 3685–3717. https://doi.org/10.1007/s13132-023-01315-8
Chou, C. M., Hsiao, H. C., Shen, C. H., & Chen, S. C. (2010). Analysis of factors in technological and vocational schoolteachers perceived organizational innovative climate and continuous use of e-teaching: Using computer self-efficacy as an intervening variable. Turkish Online Journal of Educational Technology, 9(4), 35-48. https://files.eric.ed.gov/fulltext/EJ908070.pdf
Chou, H., & Chou, C. (2021). A multigroup analysis of factors underlying teachers’ technostress and their continuance intention toward online teaching. Computers & Education, 175, 104335. https://doi.org/10.1016/j.compedu.2021.104335
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/bf02310555
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Deci, E. L., Koestner, R., & Ryan, R. M. (2001). Extrinsic rewards and intrinsic motivation in education: reconsidered once again. Review of Educational Research, 71(1), 1–27. https://doi.org/10.3102/00346543071001001
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end user computing satisfaction instrument. MIS Quarterly, 12(2), 259-274. https://doi.org/10.2307/249524
Dong, Y., Xu, C., Chai, C. S., & Zhai, X. (2019). Exploring the structural relationship among teachers’ technostress, technological pedagogical content knowledge (TPACK), computer self-efficacy and school support. The Asia-Pacific Education Researcher, 29(2), 147–157. https://doi.org/10.1007/s40299-019-00461-5
Demming, C. L., Jahn, S., & Boztug, Y. (2017). Conducting mediation analysis in marketing research. Marketing ZFP, 39(3), 76–98. https://doi.org/10.15358/0344-1369-2017-3-76
Drossel, K., Eickelmann, B., and Gerick, J. (2017). Predictors of teachers’ use of ICT in school–the relevance of school characteristics, teachers’ attitudes, and teacher collaboration. Education and Information Technologies, 22(3), 551-573. https://doi.org/10.1007/s10639-016-9476-y
Eisenberger, R., R. Huntington, S. Hutchison, & D. Sowa. (1986). Perceived Organizational Support. Journal of Applied Psychology 71(3), 500-507. https://doi.org/10.1037/0021-9010.71.3.500
Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423-435. https://doi.org/10.1016/j.compedu.2012.02.001
Gabbiadini, A., Paganin, G., & Simbula, S. (2023). Teaching after the pandemic: The role of technostress and organizational support on intentions to adopt remote teaching technologies. Acta Psychologica, 236, 1-9. https://doi.org/10.1016/j.actpsy.2023.103936
Goswami, A.K., & Agrawal, R.K. (2020), Explicating the influence of shared goals and hope on knowledge sharing and knowledge creation in an emerging economic context. Journal of Knowledge Management, 24(2), 172–195. https://doi.org/10.1108/jkm-09-2018-0561
Grani?, A. (2022). Educational technology adoption: A systematic review. Education and Information Technologies, 27(7), 9725–9744. https://doi.org/10.1007/s10639-022-10951-7
Javaid, J., Soroya, S., & Mahmood, K. (2020). Impact of personal and organizational factors on knowledge sharing attitude of university teachers in Pakistan. The Electronic Library, 38(2), 317–336. https://doi.org/10.1108/el-05-2019-0121
Jia, L., Lin, C., Qin, Y., Pan, X., & Zhou, Z. (2022). Impact of monetary and non-monetary social functions on users’ knowledge-sharing intentions in online social Q&A communities. Internet Research, 33(4), 1422–1445. https://doi.org/10.1108/intr-08-2021-0568
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Prentice Hall International.
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.), New Jersey: Prentice-Hall.
Hakro, T.H., Lashari, A.H., & Lal, S. (2023) Relationship between HRM practices, perceived organizational support, employee attitudes and behaviour and discretionary behaviour. Research Journal of Social Sciences, (4)I, 54-62. https://doi.org/10.36902/rjsservol4iss1-2023(54-62)
Han, J., Perron, B. E., Yin, H., & Liu, Y. (2020). Faculty stressors and their relations to teacher efficacy, engagement and teaching satisfaction. Higher Education Research & Development, 40(2), 247–262. https://doi.org/10.1080/07294360.2020.1756747
Hashim, M. a. M., Tlemsani, I., & Matthews, R. (2021). Higher education strategy in digital transformation. Education and Information Technologies, 27(3), 3171–3195. https://doi.org/10.1007/s10639-021-10739-1
Hayduck, L.A. (1987). Structural equation modeling with LISREL: Essentials and advances. Baltimore: Johns Hopkins University Press.
Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis. Journal of Educational Measurement, 51(3), 335-337. https://doi.org/10.1111/jedm.12050
Hoang, T. N., & Le, P. B. (2024). The influence of transformational leadership on the knowledge sharing of teachers: the roles of knowledge-centered culture and perceived organizational support. The Learning Organization, 32(2), 328-349. https://doi.org/10.1108/tlo-08-2023-0144
Homans, G. C. (1974). Social behavior: Its elementary forms (Rev. ed.). Harcourt Brace Jovanovich.
Howard, J. L., Bureau, J. S., Guay, F., Chong, J. X. Y., & Ryan, R. M. (2021). Student motivation and associated outcomes: A Meta-Analysis from Self-Determination theory. Perspectives on Psychological Science, 16(6), 1300–1323. https://doi.org/10.1177/1745691620966789
Hu, B., & Zhao, Y. (2016). Creative self-efficacy mediates the relationship between knowledge sharing and employee innovation. Social Behavior and Personality, 44(5), 815-826. https://doi.org/10.2224/sbp.2016.44.5.815
Kaqinari, T., Makarova, E., Audran, J., Döring, A. K., Göbel, K., & Kern, D. (2021). The switch to online teaching during the first COVID-19 lockdown: A comparative study at four European universities. Journal of University Teaching and Learning Practice, 18(5). https://doi.org/10.53761/1.18.5.10
King, W. R., & Marks, P. V. (2008). Motivating knowledge sharing through a knowledge management system. Omega, 36(1), 131-146. https://doi.org/10.1016/j.omega.2005.10.006
Kmieciak, R. (2020). Trust, knowledge sharing, and innovative work behavior: empirical evidence from Poland. European Journal of Innovation Management, 24(5), 1832-1859. https://doi.org/10.1108/ejim-04-2020-0134
Landa, E., Zhu, C., Sesabo, J., & Machumu, H. (2023). Leader support and the integration of innovative teaching–learning technologies: the mediating role of technological level of knowledge. Education and Information Technologies, 28(12), 15523–15541. https://doi.org/10.1007/s10639-023-11776-8
Lauermann, F., & Hagen, I. T. (2021). Do teachers’ perceived teaching competence and self-efficacy affect students’ academic outcomes? A closer look at student-reported classroom processes and outcomes. Educational Psychologist, 56(4), 265-282. https://doi.org/10.1080/00461520.2021.1991355
Lawrence, J. E., & Tar, U. A. (2018). Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55(1), 79–105. https://doi.org/10.1080/09523987.2018.1439712
Li, L., & Wang, X. (2021). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition, Technology & Work, 23(2), 315–330. https://doi.org/10.1007/s10111-020-00625-0
Liang, M. S. (2023). The challenges and breakthrough paths of classroom teaching in the digital transformation of education [Jiaoyu shuzihua zhuanxing zhong kecheng jiaoxue mianlin de tiaozhan ji tubroa lujing]. China Modern Educational Equipment, 18, 62–65. https://doi.org/10.13492/j.cnki.cmee.2023.18.001
Lindell, T. L. (2020). Teachers are calling for organizational support to digitalize teaching. International Journal of Information and Learning Technology, 37(5), 323–339. https://doi.org/10.1108/ijilt-02-2020-0017
Liu, F., Ritzhaupt, A. D., Dawson, K., & Barron, A. E. (2017). Explaining technology integration in K-12 classrooms: a multilevel path analysis model. Educational Technology Research and Development, 65(4), 795–813. https://doi.org/10.1007/s11423-016-9487-9
Liu, G. L., & Wang, Y. (2023). Modeling EFL teachers’ intention to integrate informal digital learning of English (IDLE) into the classroom using the theory of planned behavior. System, 120, 103-193. https://doi.org/10.1016/j.system.2023.103193
Lu, L., Luo, T., & Zhang, Y. (2023). Perceived overqualification and deviant innovation behavior: The roles of creative self-efficacy and perceived organizational support. Frontiers in Psychology, 14, 1-7. https://doi.org/10.3389/fpsyg.2023.967052
Lu, C., & Shi, B. (2023). The composition, elements, and challenges of the supporting system for the strategic actions of educational digitalization [Jiaoyu shuzihua zhanlue xingdong zhichi xitong de goucheng, yaosu yu mianlin de tiaozhan]. Educational Exploration, 6, 78–82. https://doi.org/10.2023-06-016
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.580820
Luo, J., Wang, M., & Yu, S. (2022). Exploring the factors influencing teachers’ instructional data use with electronic data systems. Computers & Education, 191, 104631. https://doi.org/10.1016/j.compedu.2022.104631
Maan, A. T., Abid, G., Butt, T. H., Ashfaq, F., & Ahmed, S. (2020). Perceived organizational support and job satisfaction: a moderate mediation model of proactive personality and psychological empowerment. Future Business Journal, 6(1). https://doi.org/10.1186/s43093-020-00027-8
Maipita, I., Dongoran, F. R., Syah, D. H., & Sagala, G. H. (2023). Tpack, organizational support, and technostress in explaining teacher performance during fully online learning. Journal of Information Technology Education Research, 22, 041–070. https://doi.org/10.28945/5069
Marcoulides, K. M., & Raykov, T. (2018). Evaluation of variance inflation factors in regression models using latent variable modeling methods. Educational and Psychological Measurement, 79(5), 874–882. https://doi.org/10.1177/0013164418817803
Melián-González, S. (2016). An extended model of the interaction between work-related attitudes and job performance. International Journal of Productivity 65(1), 42-57. https://doi.org/10.1108/ijppm-10-2014-0158
Merga, M. K., Roni, S. M., & Malpique, A. (2020). Do secondary English teachers have adequate time and resourcing to meet the needs of struggling literacy learners? English in Education, 55(4), 351–367. https://doi.org/10.1080/04250494.2020.1838897
Ministry of Education of the People’s Republic of China. (2012). The Ten-Year Development Plan for Educational Informatization (2011–2020) [Jiaoyu xinxi hua shi nian fazhan guihua (2011–2020 nian)]. http://www.moe.gov.cn/srcsite/A16/s3342/201203/t20120313_133322.html
Ministry of Education of the People’s Republic of China. (2022). Digital literacy for teachers: Educational industry standards [Jiaoshi shuzi suoyou: Jiaoyu hangye biaozhun]. http://www.moe.gov.cn/srcsite/A16/s3342/202302/t20230214_1044634.html
Moreira-Fontán, E., García-Señorán, M., Conde-Rodríguez, Á., & González, A. (2019). Teachers’ ICT-related self-efficacy, job resources, and positive emotions: Their structural relations with autonomous motivation and work engagement. Computers & Education, 134, 63–77. https://doi.org/10.1016/j.compedu.2019.02.007
Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430–445. https://doi.org/10.1037/0033-2909.105.3.430
Mura, M., Lettieri, E., Radaelli, G., & Spiller, N. (2016). Behavioural operations in healthcare: a knowledge sharing perspective. International Journal of Operations & Production Management, 36(10), 1222-1246. https://doi.org/10.1108/ijopm0420150234
Musenze, I.A., Mayende, T.S., Kalenzi, A., & Namono, R. (2022). Perceived organizational support, self-efficacy and work engagement: Testing for the interaction effects. Journal of Economic and Administrative Sciences, (38)2, 201-228. https://doi.org/10.1108/JEAS-08-2020-0141
Musenze, I. A., Mayende, T. S., Wampande, A. J., Kasango, J., & Emojong, O. R. (2020). Mechanism between perceived organizational support and work engagement: explanatory role of self-efficacy. Journal of Economic and Administrative Sciences, 37(4), 471-495. https://doi.org/10.1108/jeas-02-2020-0016
Mutahar, Y., Farea, M., Abdulrab, M., Al-Mamary, Y., Alfalah, A., Grada, M., & Alshammari, K. (2021). How to enhance the impact of perceived organizational support on knowledge sharing? Evidence from the higher education sector. Journal of System and Management Sciences, 11(4), 27-46. https://doi.org/10.33168/jsms.2021.0402
Nagy, J. T., & Dringó-Horváth, I. (2024). Factors influencing university teachers’ technological integration. Education Sciences, 14(1), 55. https://doi.org/10.3390/educsci14010055
Natasia, S. R., Wiranti, Y. T., & Parastika, A. (2022). Acceptance analysis of NUADU as e-learning platform using the Technology Acceptance Model (TAM) approach. Procedia Computer Science, 197, 512–520. https://doi.org/10.1016/j.procs.2021.12.168
Nikolopoulou, K., & Kousloglou, M. (2022). Online teaching in covid-19 pandemic: Secondary School Teachers’ beliefs on teaching presence and school support. Education Sciences, 12(3), 216-230. https://doi.org/10.3390/educsci12030216
Ode, E., & Ayavoo, R. (2019). The mediating role of knowledge application in the relationship between knowledge management practices and firm innovation. Journal of Innovation & Knowledge, 5(3), 210–218. https://doi.org/10.1016/j.jik.2019.08.002
Ononye, N. U. (2023). Perceived organisational support and organisational trust link to innovative work behaviour by the mediation of tacit knowledge sharing. International Journal of Business and Society, 24(3), 952-966. https://doi.org/10.33736/ijbs.6392.2023
Peng, J., Zhang, G., Fu, Z., & Tan, Y. (2013). An empirical investigation on organizational innovation and individual creativity. Information Systems and e-Business Management, 12(3), 465–489. https://doi.org/10.1007/s10257-013-0227-y
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/brm.40.3.879
Rasoolimanesh, S. M., Jaafar, M., Kock, N., & Ramayah, T. (2015). A revised framework of social exchange theory to investigate the factors influencing residents’ perceptions. Tourism Management Perspectives, 16, 335–345. https://doi.org/10.1016/j.tmp.2015.10.001
Rhoades, L., & Eisenberger, R. (2002). Perceived organizational support: A review of the literature. Journal of Applied Psychology, 87(4), 698-714. https://doi.org/10.1037/0021-9010.87.4.698
Sadaf, A., & Gezer, T. (2020). Exploring factors that influence teachers’ intentions to integrate digital literacy using the decomposed theory of planned behavior. Journal of Digital Learning in Teacher Education, 36(2), 124-145. https://doi.org/10.1080/21532974.2020.1719244
Safdar, M., Batool, S. H., & Mahmood, K. (2020). Relationship between self-efficacy and knowledge sharing: systematic review. Global Knowledge Memory and Communication, 70(3), 254–271. https://doi.org/10.1108/gkmc-11-2019-0139
Schwab, S., Lindner, K., & Savolainen, H. (2022). Investigating teachers’ dyadic self-efficacy and its correlations to students’ perceptions of teacher efficacy and student well-being. Educational Psychology, 42(7), 820-837. https://doi.org/10.1080/01443410.2022.2094342
Seikkula-Leino, J., & Salomaa, M. (2021). Bridging the research GAP—A framework for assessing entrepreneurial competencies based on Self-Esteem and Self-Efficacy. Education Sciences, 11(10), 572. https://doi.org/10.3390/educsci11100572
Shen, W., Lin, X., Chiu, T. K. F., Chen, Xie, S., Chen, R., & Jiang, N. (2024). How school support and teacher perception affect teachers’ technology integration: A multilevel mediation model analysis. Education and Information Technologies, 29, 25069–25091. https://doi.org/10.1007/s10639-024-12802-z
Sredojevi?, D., Cvetanovi?, S., & Boškovi?, G. (2016). Technological changes in economic growth theory: Neoclassical, endogenous, and evolutionary-institutional approach. Economic Themes, 54(2), 177–194.https://doi.org/10.1515/ethemes-2016-0009
Sudibjo, N., & Prameswari, R. K. (2021). The effects of knowledge sharing and person–organization fit on the relationship between transformational leadership on innovative work behavior. Heliyon, 7(6). https://doi.org/10.1016/j.heliyon.2021.e07334
Sudman, S. (1976). Applied Sampling. Academic Press New York.
Thompson, P. S., Bergeron, D. M., & Bolino, M. C. (2020). No obligation? How gender influences the relationship between perceived organizational support and organizational citizenship behavior. Journal of Applied Psychology, 105(11), 1338–1350. https://doi.org/10.1037/apl0000481
To, W. M., & Huang, G. (2022). Effects of equity perceived organizational support and job satisfaction on organizational commitment in Macao’s gaming industry. Management Decision, 60(9), 2433-2454. https://doi.org/10.1108/MD-11-2021-1447
Tran, K. T., Nguyen, P. V., Pham, N. H. T., & Le, X. A. (2021). The roles of transformational leadership, innovation climate, creative self-efficacy, and knowledge sharing in fostering employee creativity in the public sector in Vietnam. International Journal of Business Continuity and Risk Management, 11(2-3), 95-113. https://doi.org/10.1504/ijbcrm.2021.116273
Van Den Hooff, B., & De Ridder, J. A. (2004). Knowledge sharing in context: the influence of organizational commitment, communication climate and CMC use on knowledge sharing. Journal of Knowledge Management, 8(6), 117-130. https://doi.org/10.1108/13673270410567675
Wang, G., Li, J., Liu, H., & Zaggia, C. (2023). The association between workplace ostracism and knowledge-sharing behaviors among Chinese university teachers: The chain mediating model of job burnout and job satisfaction. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1030043
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. https://doi.org/10.1016/j.hrmr.2009.10.001
Wen, J., Huang, S. S., & Hou, P. (2019). Emotional intelligence, emotional labor, perceived organizational support, and job satisfaction: A moderate mediation model. International Journal of Hospitality Management, 81(8), 120-130. https://doi.org/10.1016/j.ijhm.2019.01.009
Wu, D., Li, C., Zhou, W., Tsai, C., & Lu, C. (2019). Relationship between ICT supporting conditions and ICT application in Chinese urban and rural basic education. Asia Pacific Education Review, 20(1), 147–157. https://doi.org/10.1007/s12564-018-9568-z
Wu, D., Zhou, C., Li, Y., & Chen, M. (2021). Factors associated with teachers’ competence to develop students’ information literacy: A multilevel approach. Computers & Education, 176, 104360. https://doi.org/10.1016/j.compedu.2021.104360
Yang, C., Guo, R., & Cui, Y. (2023). What affects vocational teachers’ acceptance and use of ICT in teaching? A Large-Scale survey of higher Vocational college teachers in China. Behavioral Sciences, 13(1), 77. https://doi.org/10.3390/bs13010077
Yang, H., Van Rijn, M. B., & Sanders, K. (2018). Perceived organizational support and knowledge sharing: employees’ self-construal matters. The International Journal of Human Resource Management, 31(17), 2217–2237. https://doi.org/10.1080/09585192.2018.1443956
Ye, P., Liu, L., & Tan, J. (2021). Influence of knowledge sharing, innovation passion and absorptive capacity on innovation behaviour in China. Journal of Organizational Change Management, 34(5), 894–916. https://doi.org/10.1108/jocm-08-2020-0237
Yu, H., Liu, P., Huang, X., & Cao, Y. (2021). Teacher online informal learning as a means to innovative teaching during home quarantine in the COVID-19 pandemic. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.596582
Yu, J. (2022). Impacts of psychological contract fulfillment on work attitudes and behaviors during the COVID-19 pandemic: mediating role of perceived organizational support. Current Psychology, 43(16), 14851-14860. https://doi.org/10.1007/s12144-022-03746
Zhao, L., Liu, X., & Su, Y. (2021). The differentiate effect of self-efficacy, motivation, and satisfaction on pre-service teacher students’ learning achievement in a flipped classroom: a case of a modern educational technology course. Sustainability, 13(5), 2888. https://doi.org/10.3390/su13052888
Zhang, W. (2011). Thesis writing: SEM made easy [Lunwen xiezuo-SEM bu qiuren]. (J. Doe, Trans.). Taipei: Dingmao.
Zhou, H., & Long, L. (2004). Statistical tests and control methods for common method bias [Gongtong fangfa piba de tongji jianyan yu kongzhi fangfa]. Advances in Psychological Science, 12(6), 942–950.
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