Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives

Lin, Wen Ting

doi:10.1016/j.ijhcs.2012.01.006

Cited by 206 publications

(209 citation statements)

References 55 publications

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“…It is observed that the strong correlation between confirmation and task-technology fit, suggesting that students' perceived task-technology fit to MOOCs may be adjusted by their extent of confirmation. Further, task-technology fit plays a very important role in analyzing student' continuance intention about MOOCs in this study, which is similar with the study [13]. This result reveals that the fit between knowledge or technology in MOOCs and the task, work or coursework that students are facing with now, can highly influence their intention to continue using MOOCs.…”

Section: Discussionsupporting

confidence: 83%

“…Utilization can be perceived as user adoption [48] or as the behavioral intention to use [19] [49]. Researchers have empirically tested the positive link between task-technology fit (TTF) and satisfaction [13]. In this study, this construct is integrated to measure students' satisfaction with the degree to which the knowledge or technology obtained from MOOCs helps their coursework or work.…”

Section: Hypothesesmentioning

confidence: 99%

“…It is revealed that task-technology fit (TTF) and satisfaction are significant precedents of the intention to continue using VLS (Virtual Learning System) and individual performance [13]. Researchers have empirically tested that the perceived the ease of use and the degree of usefulness are linked to task-technology fit [50].…”

Section: Hypothesesmentioning

confidence: 99%

“…Previous researches have verify the importance of continuance intention [11] [12]. Involving this concept in studying students' behavior in the adoption of MOOCs, the true factors of success depends on continued use rather than first-time use [13]. Therefore, it is necessary to investigate students' continuance intention to use MOOCs platform [66] [67].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Ouyang¹,

Tang²,

Rong³

et al. 2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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Section: Discussionsupporting

confidence: 83%

Section: Hypothesesmentioning

confidence: 99%

Section: Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Ouyang¹,

Tang²,

Rong³

et al. 2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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show abstract

“…Entretanto, Overby (2008) sugere que sua mensuração pode se dar como adoção ou satisfação e, ainda, Overby, Slaughter e Konsynski (2010) consideram a adequação como um constructo que poderia aumentar a capacidade explicativa do modelo. Esses três constructos foram mantidos, neste estudo, como indicadores de virtualização, pois já foi constatada relação entre eles na virtualização do PEA (Lin, 2012).…”

Section: Processo Ensino-aprendizagem E Mundos Virtuaisunclassified

Um estudo da virtualização de processos: o uso de mundos virtuais com foco em ensino-aprendizagem

Noveli

Albertin

2017

Rev. Bras. Educ.

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RESUMOTecnologias de Informação e Comunicação (TICs) têm permitido que processos que dependiam da presença física de indivíduos ou objetos, em um mesmo lugar e tempo, ocorram sem esses limites. Dentre esses, o Processo Ensino-Aprendizagem (PEA) vem ganhando notoriedade, apesar de ainda persistirem dúvidas quando à adequação dessas tecnologias. Portanto, esta pesquisa teve o objetivo de identificar a relação entre requisitos de um processo e capacidades das TICs. Especificamente, foi estudada a adequação dos mundos virtuais à virtualização do PEA, com base na Teoria de Virtualização de Processo (TVP), por meio de evidências advindas de três cursos e analisadas por meio de técnicas de análise de conteúdo e escalonamento multidimensional. Isso resultou em um quadro sistematizado que permite entender o alinhamento entre TIC e requisitos de processo para a sua virtualização, evidenciando quais TICs têm viabilizado o desenvolvimento do PEA.PALAVRAS-CHAVE virtualização de processos; processo ensino-aprendizagem; mundos virtuais.

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Doing good for society! How purchasing green technology stimulates consumers toward green behavior: A structural equation modeling–artificial neural network approach

et al. 2022

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Many countries have recognized the urgent need to address environmental problems, such as air pollution, waste disposal, global warming, and natural resource depletion, through the application of green technology. ANT Forest is one such technological initiative that has gained academic attention for its potential to minimize adverse environmental impacts and promote sustainable green behavior by involving people in eco-friendly activities. We built an integrated framework to understand users' continuance intention (CI) toward ANT Forest based on the expectation-confirmation model (ECM) and the task-technology fit model (TTFM). Using structural equation modeling (SEM), we analyzed survey data from 353 ANT Forest users. We then included the SEM results as components of an artificial neural network (ANN) to understand users' CI toward ANT Forest. The results from the SEM analysis revealed a series of sequential associations: (a) green habit as an individual characteristic and perceived entertainment as a technology characteristic significantly affect perceived green task-technology fit (GTTF), (b) perceived GTTF strongly and positively influences confirmation and CI, (c) confirmation is positively associated with users' satisfaction and delight, (d) delight significantly impacts satisfaction, and (e) perceived usefulness (PU) and satisfaction are strong determinants of CI. An ANN analysis further confirmed these findings. The study discusses managerial implications along with future research directions.

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Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives

Cited by 206 publications

References 55 publications

Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Um estudo da virtualização de processos: o uso de mundos virtuais com foco em ensino-aprendizagem

Doing good for society! How purchasing green technology stimulates consumers toward green behavior: A structural equation modeling–artificial neural network approach

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