2021
DOI: 10.47738/ijiis.v4i1.79
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Analysis of the Effect of Website Sales Quality on Purchasing Decisions on e-commerce Websites

Abstract: Both Web-based information infrastructure and marketing activities are dealt with by business-to-consumer electronic commerce. Centered on information systems and marketing literature, this review suggests a research model to explain the effect on consumer loyalty of the dimensions of website quality (system quality, information quality, and service quality). In order to verify the validity of the calculation model, confirmatory factor analysis was performed, and the structural model was also examined to inves… Show more

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Cited by 4 publications
(4 citation statements)
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“…Second, this research does not conduct an assessment of users in global scope, which means that bias may occur, because in certain countries it is possible to have differences specific to certain platforms; for example, people in Indonesia tend to use Instagram and Facebook, while in Taiwan they generally use Lines, and so on. Third, subsequent research can integrate several concepts such as the expectation confirmation model [131,[134][135][136], with the concepts of CE and PV on customer sustainable intention in scommerce. Fourth, future research can examine customer interaction and the collaborative concept of society [93,137,138].…”
Section: Discussionmentioning
confidence: 99%
“…Second, this research does not conduct an assessment of users in global scope, which means that bias may occur, because in certain countries it is possible to have differences specific to certain platforms; for example, people in Indonesia tend to use Instagram and Facebook, while in Taiwan they generally use Lines, and so on. Third, subsequent research can integrate several concepts such as the expectation confirmation model [131,[134][135][136], with the concepts of CE and PV on customer sustainable intention in scommerce. Fourth, future research can examine customer interaction and the collaborative concept of society [93,137,138].…”
Section: Discussionmentioning
confidence: 99%
“…This study's participants are blockchain users with experience with blockchain-linked functions or services. According to a survey conducted by [25], Southeast Asian countries, including Indonesia, rank third in the world after the US and India in terms of growth of Blockchain usage. Furthermore, Indonesia currently has the fourth largest population in the world.…”
Section: Methodsmentioning
confidence: 99%
“…This environment of interaction and communication encourages customers to seek information, evaluate risks, and place their trust to decide whether to use the service [24][25][26][27]. Understanding how social influence affects blockchain technology will provide us insights into how consumers feel about new technologies and the advantages they may expect.…”
Section: Social Influencementioning
confidence: 99%
“…The concept of recommendation in social commerce empowers consumers to locate and find products and services that meet their standards and expectations. Sometimes companies implement recommender systems as a business tool to understand product knowledge through either coded knowledge given by experts or knowledge mined based on the learned consumer attitude and behavior (Gutama et al, 2021; Mican et al, 2020). This recommender system can facilitate and guide consumers through the difficult task of choosing and locating services and products that they prefer (Mican et al, 2020; Selva Rani & Kumar, 2018).…”
Section: Research Background and Foundationmentioning
confidence: 99%