The Impact of Big Data Quality Characteristics on User Satisfaction through Perceived Ease of Use and Perceived Usefulness
So‐Jeong Jang, Sin-Cheol Jeong, Sunghwan Kim, Sun-Hee Noh, Hakyun Kim · Asia-pacific Journal of Convergent Research Interchange · 2024
With the recent development of information and communication and storage technology, numerous data that were inadvertently passed in the past are automatically analyzed in real time that provides a different meaning.Big data is growing more and more significant since it is used as a tool for strategic decision-making, which was previously neglected.The impact of big data quality attributes on user satisfaction through perceived ease of use and utility will be examined to meet the research objectives.The subjects of the study were general consumers using big data, and Smart PLS 4.0 was used to statistical analysis.The summary of the research are the following: First, it is said that information quality had a significant impact on perceived ease of use.Second, it is said that system quality had an important impact on perceived ease of use.Third, it is said that service quality had a significant impact on perceived ease of use.Fourth, it is said that information quality had a significant impact on perceived usefulness.Fifth, it is said that system quality had a significant effect on perceived usefulness.Sixth, it is said that service quality had a significant effect on perceived usefulness.Seventh, it is said that perceived ease had a significant effect on user satisfaction.Eighth, it can be seen that the perceived usefulness had an important effect on user satisfaction.It was confirmed that users who use big data have higher user satisfaction as the perceived ease and usefulness of the quality of big data increases.