2020
DOI: 10.3389/fpsyg.2020.579274
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Consumers’ Purchase Intention of Organic Food via Social Media: The Perspectives of Task-Technology Fit and Post-acceptance Model

Abstract: 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 m… Show more

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Cited by 28 publications
(29 citation statements)
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References 50 publications
(77 reference statements)
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“…Also, for the architecture integrating TTF and ECT, Cheng [46] probed into the persistent impact of cloud online learning and believed that the integration of ECT and TTF could better explain the persistence of cloud online learning. You, Jong, and Wiangin [47] also found that the integration of TTF and ECT could better explain the antecedents and consequences of the impact of social media on consumers' choice of organic food. However, the outbreak of COVID-19 forced all Chinese universities to offer online learning in the hope of making up for the failure to complete offline teaching tasks in classrooms.…”
Section: Task-technology Fitmentioning
confidence: 93%
“…Also, for the architecture integrating TTF and ECT, Cheng [46] probed into the persistent impact of cloud online learning and believed that the integration of ECT and TTF could better explain the persistence of cloud online learning. You, Jong, and Wiangin [47] also found that the integration of TTF and ECT could better explain the antecedents and consequences of the impact of social media on consumers' choice of organic food. However, the outbreak of COVID-19 forced all Chinese universities to offer online learning in the hope of making up for the failure to complete offline teaching tasks in classrooms.…”
Section: Task-technology Fitmentioning
confidence: 93%
“…Therefore, perceived usefulness can be expressed as the degree of individual user's belief that using internet-based services during COVID-19 would bring improved performances (Davis 1989, Okcu et al 2019, in the context of communication, interaction, and work. Several researchers' findings have supported the significant contribution of perceived usefulness towards individuals' attitude (Briz-Ponce et al 2017;Teo et al 2019;Wu and Chen 2017), and behavioral intention (Ait Youssef et al 2020;Al-Okaily et al 2020;Cordente-Rodriguez et al 2020;Kong et al 2020;Nikou et al 2017;Okcu et al 2019;Rafique et al 2019;Saleem and Nor 2020;Teo et al 2019;Wu and Chen 2017;You et al 2020), to use information technology in various contexts.…”
Section: Technology Acceptance Modelmentioning
confidence: 94%
“…Many studies have explored TAM model with external factors (Ait Youssef et al 2020;Al-Okaily et al 2020;Briz-Ponce et al 2017;Chen et al 2011;Cordente-Rodriguez et al 2020;Hur et al 2015;Nikou et al 2017;Okcu et al 2019;Rafique et al 2019;Sagnier et al 2020;Saleem et al 2020;Singh and Srivastava 2019;Sukendro et al 2020;Teo et al 2019;Wismantoro et al 2020;Watat et al 2020;Wu and Chen 2017;You et al 2020), and without integrated external variables (Davis 1989;Kong et al 2020), in TAM model regarding behavioral intention and use of different technological implications.…”
Section: Technology Acceptance Modelmentioning
confidence: 99%
“…This is essentially a role of perceived appropriateness theory, which reflects the ability of knowledge supply-side information technology to support work tasks. By describing cognitive psychology and cognitive behavior to reveal how information technology acts on an individual's task performance [48], it reflects the logical relationship between information technology and task demands. This logical relationship is the path of influence of content quality and KOL influence on the impact of user knowledge payment in the knowledge supply hierarchy.…”
Section: Knowledge-provider Levelmentioning
confidence: 99%