What Methodological Attributes Are Essential for Novice Users to Analytics? – An Empirical Study

Data analytic methodologies proposed to improve the productivity of a data analytic process have failed due to user resistance for changing their existing working practices. Thus, an attempt was made in this paper to determine methodological attributes influencing user acceptance, using literature o...

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Bibliographic Details
Published inHuman Interface and the Management of Information. Information and Knowledge in Context pp. 77 - 88
Main Authors Ahangama, Supunmali, Poo, Danny Chiang Choon
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Data analytics
Diffusion of innovation
Methodology
Survey
Technology acceptance
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Summary:Data analytic methodologies proposed to improve the productivity of a data analytic process have failed due to user resistance for changing their existing working practices. Thus, an attempt was made in this paper to determine methodological attributes influencing user acceptance, using literature on software engineering methodology adoption, Theory of Diffusion of Innovation and Technology Acceptance Model. Through a survey carried out among novice users we found that the relative advantage and result demonstrability of the analytical model development process as well as the usefulness of knowledge management are significant attributes affecting usage intention of an analytics methodology. The theoretical and practical implications for effective implementation of data analytic methodologies too are mentioned.
ISBN:3319206176
9783319206172
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-20618-9_8