Resistance to online learning technology: Theoretical and empirical perspectives

被引:0
|
作者
Ambalov, Igor Alexander [1 ]
机构
[1] Rajapruk Univ, Dept Digital Technol, Bangkok, Thailand
关键词
resistance to change; technology adoption; online learning; cognitive dissonance theory; self-verification theory; quantitative; INFORMATION-TECHNOLOGY; DIGITAL LIBRARIES; ACCEPTANCE MODEL; USER ACCEPTANCE; PERCEIVED EASE; SELF-CONCEPT; ADOPTION; CONTINUANCE; PERSONALITY; INTENTION;
D O I
10.1177/02666669241257197
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The increasing popularity of online learning applications (OLAs) among institutions and individuals is an ongoing trend in information technology. While much of previous technology adoption research has been focused on adoption motivators or enablers, the lack of research on adoption inhibitors is the primary motivation for this study. The main focus is on dispositional resistance to change (RTC) and its role in individual OLA adoption decisions. A theoretical model integrating two fields of research, technology adoption and psychology, was developed to investigate the influence of RTC on key adoption predictors using a sample of 217 university-student OLA users. A combination of cognitive dissonance and self-verification theories was used to explain the mechanism of this influence, which was subsequently tested and verified. Findings indicate that RTC has a significant negative impact on effort expectancy and usage intention, but not on attitude and performance expectancy. This study contributes by theoretically underpinning and empirically validating the impact of RTC on OLA adoption decisions. Furthermore, it illustrates the importance of incorporating RTC into technology adoption studies in general and OLA studies in particular. This research provides the foundation for future work in this severely underexplored area.
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页数:16
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