An Exploration of English Teachers’ Resistance to Technological Innovation
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The purpose of this study is to identify and analyze English teachers’ intention to resist technological innovation in their classrooms. To reach the research goal, the study proposes a research model and hypotheses that focus on innovation characteristics (low compatibility, information overload, economic risk, and functional risk) and English teachers’ characteristics (lack of self-efficacy, attitude, and habit) with a positive impact on intention to resist technological innovation. This study uses a survey approach to collect necessary data for analysis. For a period of five months, a total of 57 valid data from English teachers at middle and high schools were analyzed using SPSS 22.0 to test the proposed hypotheses. The results show that all proposed constructs except for lack of self-efficacy were found to have a significant influence on the degree of resistance to innovation among these English teachers. The findings provide a clear understanding of teachers’ resistance behaviors and offer suggestions for testable propositions in this neglected perspective of educational technology research. The contributions and implications of the study are discussed with respect to the future approach to resistance to technology-enhanced language learning environments.
Abstract
The purpose of this study is to identify and analyze English teachers’ intention to resist technological innovation in their classrooms. To reach the research goal, the study proposes a research model and hypotheses that focus on innovation characteristics (low compatibility, information overload, economic risk, and functional risk) and English teachers’ characteristics (lack of self-efficacy, attitude, and habit) with a positive impact on intention to resist technological innovation. This study uses a survey approach to collect necessary data for analysis. For a period of five months, a total of 57 valid data from English teachers at middle and high schools were analyzed using SPSS 22.0 to test the proposed hypotheses. The results show that all proposed constructs except for lack of self-efficacy were found to have a significant influence on the degree of resistance to innovation among these English teachers. The findings provide a clear understanding of teachers’ resistance behaviors and offer suggestions for testable propositions in this neglected perspective of educational technology research. The contributions and implications of the study are discussed with respect to the future approach to resistance to technology-enhanced language learning environments.
참고문헌 (54)
- Al-Emran, M., "Investigating attitudes towards the use of mobile learning in higher education", Computers in Human Behavior, 56, pp.93~102 (2016)
- Bandura, A., "Self-efficacy: Toward a unifying theory of behavioral change", Psychological Review, (84), pp.191~215 (1977)
- Bandura, A., "Self-efficacy mechanism in human agency", American Psychologist, 37(2), pp.122~147 (1982)
- Cheon, J., "An investigation of mobile learning readiness in higher education based on the theory of planned behavior", Computers & Education, 59(3), pp.1054~1064 (2012)
- Chin, W. W., "The partial least squares approach to structural equation modeling", Modern Methods for Business Research, 295(2), pp.295~336 (1998)
- Compeau, D., "Computer self-efficacy : Development of a measure and initial test", MIS Quarterly, 19(2), pp.189~211 (1995)
- Cornescu, V., "The consumer resistance behavior towards innovation", Procedia Economics and Finance, 6, pp.457~465 (2013)
- Davidson, R. S., "Computer fear and addiction : Analysis, prevention and possible modification", Journal of Organizational Behavior Management, 6, pp.37~51 (1985)
- Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)
- Dhebar, A., "Speeding high-tech producer, meeting the balking customer", Sloan Management Review, 37(2), pp.37~49 (1996)
- Dunphy, S., "Acceptance of innovations : The customer is the key", The Journal of High Technology Management Research, 6, pp.193~209 (1995)
- Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, 18(1), pp.39~50 (1981)
- Foxall, G. R., "The influence of cognitive style on consumers’ variety seeking among food innovations", British Food Journal, 95, pp.32~36 (1993)
- Fulantelli, G., "A framework to support educational decision making in mobile learning", Computers in Human Behavior, 47, pp.50~59 (2015)
- Greenleaf, E. A., "Reasons for substantial delay in consumer decision making", Journal of Consumer Research, 22(2), pp.186~199 (1995)
- Grover, V., "An empirically derived model for the adoption of customer based interorganizational systems", Decision Sciences, 24(3), pp.603~640 (1993)
- Guo, X., "The dark side of elderly acceptance of preventive mobile health services in China", Electronic Markets, 23(1), pp.49~61 (2013)
- He, F., "Decision factors for the adoption of an online payment system by customers", International Journal of E-Business Research, 3(4), pp.33~48 (2007)
- Herbig, P. A., "Customer acceptance : The key to successful introductions of innovations", Marketing Intelligence & Planning, 10(1), pp.4~15 (1992)
- Herbig, P. A., "The effect of information overload on the innovation choice process : Innovation overload", Journal of Consumer Marketing, 11(2), pp.45~54 (1994)
- Hill, T., "Communicating innovations: Convincing computer phobics to adopt innovative technologies", Advances in Consumer Research, (13), pp.419~422 (1986)
- Huang, Y. M., "The effectiveness of a meaningful learning-based evaluation model for context-aware mobile learning", British Journal of Educational Technology, 46, pp.437~447 (2015)
- 정희정, "영어학습에서 스마트러닝 사용의도에 미치는 변인들", 언어학, 21(3), pp.301~317 (2013), 대한언어학회[DOI]
- Jung, H. J., "Ubiquitous learning : Determinant impacting learner's satisfaction and performance with smartphones", Language Learning & Technology, 18(3), pp.97~119 (2014)
- Jung. H. J., "Fostering an English teaching environment : Factors influencing English as a foreign language teacher's adoption of mobile learning", Informatics in Education, 14(2), pp.219~241 (2015)
- 정희정, "Factors Impacting Learners Satisfaction and Continued Use of E-Learning in an EFL Context", 멀티미디어 언어교육, 19(2), pp.11~33 (2016), 한국멀티미디어언어교육학회[DOI]
- Karjaluoto, H., "Factors underlying attitude formation towards online banking in Finland", The International Journal of Bank Marketing, 20, pp.261~272 (2002)
- Kim, K., "A study on barriers in activating mobile commerce: Innovation resistance perspective", pp.2005
- Kim, H. J., "Understanding the role of user resistance on mobile learning usage among university students", Computers & Education, 113, pp.108~118 (2017)
- Kleijnen, M., "An exploration of consumer resistance to innovation and its antecedents", Journal of Economic Psychology, 30(3), pp.344~357 (2009)
- Kukulska-Hulme, A., "Will mobile learning change language learning?", ReCALL, 21(2), pp.157~165 (2009)
- Laukkanen, P., "Consumer resistance to internet banking:Postponers, opponents and rejectors", International Journal of Bank Marketing, 26, pp.440~455 (2008)
- Lee, H., "A study on the innovation resistance of consumers in adoption process of new product : Concentrated on innovation resistance model", Korean Management Review, 23(3), pp.217~249 (1994)
- Long D., "Innovation in the Primary School Curriculum a Comparative Study", master’s, pp.1973
- O'Connor, E., "Implementing new technology:Management issues and opportunities", The Journal of High Technology Management Research, pp.68~89 (1990)
- Oreg, S., "Resistance to change : Developing an individual differences measure", Journal of Applied Psychology, 88(4), pp.680~693 (2003)
- Oreg, S., "Personality, context, and resistance to organizational change", European Journal of Work and Organizational Psychology, 15(1), pp.73~101 (2006)
- Park, Y., "Acceptance and adoption of the innovative use of smartphone", Industrial Management & Data Systems, 107, pp.1349~1365 (2007)
- Ram, S, "A model of innovation resistance", Advances in Consumer Research, 14, pp.208~213 (1987)
- Ram, S., "Successful innovation using strategies to reduce consumer resistance-An empirical test", The Journal of Product Innovation Management, 6, pp.20~34 (1989)
- Ram, S., "Consumer resistance to innovation : The marketing problem and its solution", The Journal of Consumer Marketing, 6(2), pp.5~14 (1989)
- Ramamurthy, K., "Organizational and interorganizational determinants of EDI diffusion and organizational performance : A causal model", Journal of Organizational Computing and Electronic Commerce, 9(4), pp.253~285 (1999)
- Rogers, E. M., "Diffusion of innovations" (2003), Free Press
- Sheth, N. J., "Psychology of innovation resistance : The less developed concept(LDC)in diffusion research", Research in Marketing, 4, pp.273~282 (1981)
- Simpkins, W. S., "Changing education Australian viewpoints" (1972), McGraw Hill
- Stiles, L. J., "Processes and phenomena of social change", pp.257~280 (1973), John Wiley and Sons
- Szmigin, I., "Three forms of innovation resistance: The case of retail payment methods", Technovation, 18(6, pp.7) (1998), 459~468
- Tan, M., "Factors influencing the adoption of internet banking", Journal of the Association for Information Systems, 1, pp.1~44 (2000)
- Teo, H. H., "Predicting intention to adopt interorganizational linkages : An institutional perspective", MIS Quarterly, 27(1), pp.19~49 (2003)
- Wang, G., "Consumption attitudes and adoption of new consumer products : A contingency approach", European Journal of Marketing, 42, pp.238~254 (2008)
- Watson, G., "The Planning of Change", pp.488~497 (1969), Rinehart & Winston
- Woodside, A. G., "Modeling innovation, manufacturing, diffusion and adoption", rejection processes, 2005, pp.20(7), 380~393
- Zeithaml, VA, "Characteristics affecting the acceptance of retailing technologies: a comparison of elderly and non-elderly consumers", Journal of Retailing, 63(1), pp.49~68 (1987)
- Zimmerman, B. J., "Student differences in self-regulated learning : Relating grade, sex, and giftedness to self-efficacy and strategy use", Journal of educational Psychology, 82, pp.51~59 (1990)
