Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

Abstract

The popularity of big data analytics (BDA) has boosted the interest of organisations into exploiting their large scale data. This technology can become a strategic stimulation for organisations to achieve competitive advantage and sustainable growth. Previous BDA research, however, has focused more on introducing more traits, known as Vs for big data traits, while ignoring the quality of data when examining the application of BDA. Therefore, this study aims to explore the effect of big data traits and data quality dimensions on BDA application. This study has formulated 10 hypotheses that comprised of the relationships of big data traits, accuracy, believability, completeness, timeliness, ease of operation, and BDA application constructs. This study conducted a survey using a questionnaire as a data collection instrument. Then, the partial least squares structural equation modelling technique was used to analyse the hypothesised relationships between the constructs. The findings revealed that big data traits can significantly affect all constructs for data quality dimensions and that the ease of operation construct has a significant effect on BDA application. This study contributes to the literature by bringing new insights to the field of BDA and may serve as a guideline for future researchers and practitioners when studying BDA application.

Big Data Analytics Quality in Enhancing Healthcare Organizational Performance: A Conceptual Model Development

“…Information accuracy, security, and privacy are some of the related BDA issues that may affect the performance of healthcare organizations [5] [6]. Moreover, healthcare organizations must assess BDA quality to make sure that the related system and application produced by BDA implementation is portable, near real-time information, and easy to maintain to entice consumers to use it in the long run [7]. The effectiveness and efficiency of healthcare organizations can be increased with the right and essential BDA quality factors being fulfilled [8] and this is in line with the finding by Fosso Wamba [9].…”

“…Various studies have been conducted on BDA quality; however, the focus is more on "data" quality and does not cater to BDA quality holistically [10] [7], and the BDA quality assessment in healthcare is still an understudied research topic. Consequently, the objectives of this paper are to 1) determine the contributing factors to BDA quality; and 2) develop a BDA Quality (BDAQ) conceptual model for enhancing healthcare organizational performance.…”

“…Wang and Strong [16] as a theoretical model in another way presented quality factors into four primary categories, namely intrinsic, contextual, representational, and accessibility. The intrinsic category implies datasets having inherent quality, whereas the contextual category emphasizes the requirement of the task that quality be evaluated in context [7], [16]. The representational category highlights quality in terms of its presentation, while the accessibility category reinforces the significance of computer systems that give access to data [7], [16] [23].…”

“…The intrinsic category implies datasets having inherent quality, whereas the contextual category emphasizes the requirement of the task that quality be evaluated in context [7], [16]. The representational category highlights quality in terms of its presentation, while the accessibility category reinforces the significance of computer systems that give access to data [7], [16] [23]. There are some characteristics for each category that are employed as particular indicators of quality.…”

“…For instance, the intrinsic category's factors are objectivity and accuracy, while the contextual category's factors are timeliness and relevance. The representational category's factors are interpretability and understandability, while the accessibility category's factors are accessible security and simplicity of use [7]. Ghasemaghaei and Calic [24] used BDA quality factors produced by Wang and Strong [16] to examine the effect of BDA on quality factors and confirmed the critical role of BDA quality in enhancing organizational decision-making.…”