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Trust, Organizational Decision-Making, and Data Analytics: An Exploratory Study

Trust, Organizational Decision-Making, and Data Analytics: An Exploratory Study
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Author(s): Joseph E. Kasten (Penn State, York, USA)
Copyright: 2020
Volume: 11
Issue: 1
Pages: 16
Source title: International Journal of Business Intelligence Research (IJBIR)
Editor(s)-in-Chief: Ana Azevedo (CEOS.PP, ISCAP, Polytechnic of Porto, Portugal)
DOI: 10.4018/IJBIR.2020010102

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Abstract

The use of data analytics of all kinds is making inroads into almost all industries. There are many studies that explore the usefulness and organizational benefits of these tools. However, there has been relatively little attention paid to the other issues that accompany the implementation of these tools, namely the level of trust felt by the consumers of the information products of these tools and the changes in decision-making caused by the introduction of data analytics. It is important that the level of trust these decision-makers have in their analytics tools be understood as that will have great impact on how these tools will be used and how the firm will use them to build value. This study examines the level of trust organizations have in their analytics tools and how these tools have changed their decision-making processes. This study will add to the broad understanding of how and where data analytics tools fit into the data-driven organization.

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