An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences

By Ching-Chang Lee, H. K. Cheng, Hui-Hsin Cheng. Decision Support Systems, 2007

360 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/5e9e4070f197e2faad804e48b572103be7b5d931

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In Information Systems and Management

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Citations in the corpus

Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit (2008, methodology): “The inclusion of individual abilities is supported by both Work Adjustment Theory from which TTF was originally derived and recent MIS studies which categorizes individual difference variables as cognitive factors, demographics, personality and experience that are positively associated with IT utili”
Integrating TTF and UTAUT to explain mobile banking user adoption (2010, background): “In contrast, a poor task technology fit will decrease users’ adoption intention (Lee et al., 2007; Lin & Huang, 2008).”
An empirical study on trust in mobile banking: A developing country perspective (2016, result): “The results of this paper also indicate the relevance of the construct task activities in the study of MB technology (Goodhue, 1995; Goodhue & Thompson, 1995; Lee et al., 2007).”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “Access quality, usefulness, uncertainty avoidance, perceived enjoyment and familiarity were verified to affect the continuance intention of mobile Internet services (Lee et al., 2007; Ng and Kwahk, 2010; Shin et al., 2010; Zhou, 2011b).”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, background): “On the other hand, a review of more recent studies suggests that relevance of a new technology to address a specific need might importantly shape the adoption behaviour of customers (Lee et al. , 2007).”
Mobile Application Usability: Conceptualization and Instrument Development (2015, background): “Third, we found that prior research has used a variety of conceptually dissimilar constructs to assess mobile application usability including satisfaction with system use, ease of learning, and effectiveness of mobile applications (e.g., Gebauer et al. 2007; Lee et al. 2007; Min et al. 2009; Urbacze”