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http://hdl.handle.net/11375/25322
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DC Field | Value | Language |
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dc.contributor.advisor | Hassanein, Khaled | - |
dc.contributor.author | Eslami, Seyed Pouyan | - |
dc.date.accessioned | 2020-03-04T21:01:47Z | - |
dc.date.available | 2020-03-04T21:01:47Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://hdl.handle.net/11375/25322 | - |
dc.description.abstract | Current trends indicate that many organizations are making significant investments in Data Analytics (DA) to leverage big data. However, recent studies also indicate that a large percentage of these investments are unsuccessful and that a majority of users do not act upon a data analytics tool’s recommendations. This research draws upon the S-O-R framework and the Theory of Planned Behaviour to develop and empirically validate a theoretical model of the factors that influence/hinder a user’s concordance with and actions taken with respect to a DA tool’s recommendations. The model reflects the nuances of DA tool use within organizations including: (i) technological characteristics, (ii) individual characteristics, (iii) situational characteristics, and (iv) task-related characteristics. In addition, this study investigates the factors that shape a user’s perception of the quality of a DA tool’s recommendations, while trying to understand how, and to what extent, this perception influences a user’s concordance with, and the actions taken in regards to, a DA tool’s recommendations. The results of this research confirm that personal concordance and recommendation actionability are positively associated with user action on a DA tool’s recommendations. Moreover, perceived risk of action was found to be negatively associated with user actions taken with respect to a DA tool’s recommendations. It was also found that DA tool recommendation quality is shaped from intrinsic data quality, contextual data quality, DA tool quality, DA tool recommendation understandability, and analyst competency. | en_US |
dc.language.iso | en | en_US |
dc.title | Understanding Users’ Action On Data Analytics Recommendations | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Business Administration | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Eslami_Seyed Pouyan_201906_PhD.pdf | 1.29 MB | Adobe PDF | View/Open |
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