Task-technology fit and user acceptance of online auction

Chang, Hsin Hsin

doi:10.1016/j.ijhcs.2009.09.010

Cited by 94 publications

(32 citation statements)

References 74 publications

(130 reference statements)

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“…PAM, including the continuance intention, satisfaction, perceived usefulness, and confirmation, were adopted from Bhattacherjee (2001) and Chen et al (2013). The concept of the task-technology fit, including the technology characteristics and task characteristics, were slightly modified from Chang (2010) and Wu and Chen (2017). Each measurement item was replied following the seven-point Likert's scale.…”

Section: Methodsmentioning

confidence: 99%

“…Previous research believed that the perception of whether a particular task-technology fits well with the perceived usefulness could be the basis for constructing perceptions of actually adopting the information technologies (Kim et al, 2010;Wu and Chen, 2017). Empirical evidence has illustrated that the perceived usefulness is affected by the task-technology fit; that is, when the fit between the task and technology is higher, consumers perceive the digital tool to be useful for that task (Larsen et al, 2009;Chang, 2010;Schrier et al, 2010;Lin and Wang, 2012;Wu and Chen, 2017). Moreover, the empirical result from Cheng (2020) also found the positive linage from the tasktechnology fit to confirmation.…”

Section: Research Hypotheses Developmentmentioning

confidence: 99%

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Consumers’ Purchase Intention of Organic Food via Social Media: The Perspectives of Task-Technology Fit and Post-acceptance Model

2020

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In the past, consumers were mainly informed about organic food by newspapers, magazines, and television advertisements. However, when consumers buy organic products in the market, they cannot get a complete information about the products from the appearance of the various products. In order to overcome this information asymmetry, social media has become an indispensable part of the promotion of organic food by providing a clear distinction between certified organic products and other types of products in the market. The purpose of this study is to demonstrate the antecedents and consequences of the influence of social media on the consumers' selection of organic food, based on the post-acceptance model (PAM) and tasktechnology fit model. The empirical results indicated task characteristics and technology characteristics had the significant effects on confirmation of the expectations and perceived usefulness through the task-technology fit. Besides, the confirmation of expectations and perceived usefulness also influenced significantly the satisfaction and continuance intention, respectively. Finally, the results presented in this article would contribute to the practical and academic implications and recommendations on the promotion of organic food in the social media platform.

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Section: Methodsmentioning

confidence: 99%

Section: Research Hypotheses Developmentmentioning

confidence: 99%

Consumers’ Purchase Intention of Organic Food via Social Media: The Perspectives of Task-Technology Fit and Post-acceptance Model

2020

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“…The theory of the TTF model compensates the discrepancy in the TAM in this respect. Hence, the combination of the two models can better assess the variation in the utilization of technology than either the TTF or the TAM alone [28], [9], [1], [16].…”

Section: B Task Technology Fit (Ttf)mentioning

confidence: 99%

Continuance Intentions to Use Gamification for Training in Higher Education: Integrating the Technology Acceptance Model (TAM), Social Motivation, and Task Technology Fit (TTF)

2020

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Despite the public enthusiasm for gamification training for employees, gamification is not yet been fully incorporated for instructor training in universities. Previous studies have examine factors that improves employee participation, motivation and engagement that leads to the employee intentions to use gamification for training. Therefore, in this study, task technology fit (TTF), social motivations (SM) and knowledge gain from using gamifiction were investigated. The TAM is enhanced with other factors; such as the task technology fit (TTF) and social motivation. The TTF is used to examine gamification utility, while social motivation is used to examine social influence (SI) and social recognition (SR). Data were collected in two phases, in the first phase 375 data were used for the TAM, secondly, 31 data were used for the pre and posttest. A structural equation model were presented to test the TAM while the t-test were used to study the knowledge gain from using the gamification system. However, the foundation for understanding instructors' behavior in this study's context are: (1) perceived usefulness and attitudes are crucial to the continuance intentions to use gamified Moodle for training; (2) perceived usefulness mediates the relationships among social recognition, TTF, perceived ease of use, and social influence on continuance intentions; (3) when predicting continuance intentions, TTF, social recognition, social influence, and perceived ease of use are vital; (4) TTF positively affects perceived ease of use; and, unexpectedly, (5) the TTF and social influence have no significant effects on perceived usefulness. Detailed results and educational implications are discussed.

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“…Thus, while TAM is concerned about the belief and attitude about using a technology or service, TTF focuses on the fit between task and technology. Moreover, combining TAM and TTF provides a better explanation for the variance in ICT usage when compared to TAM or TTF models alone (Chang, 2010). Therefore, in this work an integrated TAM/ TTF theoretical framework is proposed for explaining the research questions.…”

Section: Introductionmentioning

confidence: 99%

University Students’ Perception of Video-Based Learning in Times of COVID-19: A TAM/TTF Perspective

Pal

Patra²

2020

International Journal of Human–Computer Interaction

140

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Task-technology fit and user acceptance of online auction

Cited by 94 publications

References 74 publications

Consumers’ Purchase Intention of Organic Food via Social Media: The Perspectives of Task-Technology Fit and Post-acceptance Model

Consumers’ Purchase Intention of Organic Food via Social Media: The Perspectives of Task-Technology Fit and Post-acceptance Model

Continuance Intentions to Use Gamification for Training in Higher Education: Integrating the Technology Acceptance Model (TAM), Social Motivation, and Task Technology Fit (TTF)

University Students’ Perception of Video-Based Learning in Times of COVID-19: A TAM/TTF Perspective

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