Table 2

Definition of key concepts in this study

ConceptDefinition
Data qualityData quality is defined by the usability, importance, accuracy, timeliness, completeness, and relevancy of data in an organization (DeLone and McLean, 2003)
Data system qualityData system quality is defined as the degree to which the data system including its hardware, software, and technical attributes such as speed, reliability, and functionality can support the data-related needs of an organization (DeLone and McLean, 2003)
Data service qualityData service quality is defined as the degree to which the data service in an organization provides efficient, effective, and reliable services to support the needs of different users (DeLone and McLean, 2003)
DACDAC refers to the ability of an organization to gather, unify, and deploy different data-related resources (including data-enabled services) in business (Gupta and George, 2016)
Business performanceBusiness performance is defined as the favorable business outcomes that are achieved by an organization. Such favorable business outcomes are related to quantitative (e.g. cost saving) or qualitative (e.g. customer satisfaction) benefits (Koohang et al., 2023; Krishnamoorthi and Mathew, 2018)

Source(s): Authors’ own work

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