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Exploring Subjective and Objective Measures of System Effectiveness

Published: 11 May 2024 Publication History

Abstract

The effectiveness of information systems (IS) is essential for evaluating user performance between their behavior and computer. However, the effectiveness evaluation poses challenges due to the multidimensional nature of measures, especially in evaluating business intelligence systems (BI). This study aims to investigate measures from both subjective and objective of BI effectiveness and classify BI effectiveness into five dimensions based on the IS maturity model, including Operate, Consolidate, Integrate, Optimize, and Innovate. The study compares results obtained through self-reported with computer-recorded measures to gain a comprehensive understanding of system utilization. This research received 1480 questionnaires, accompanied by the collection of 1-year log data reflecting the actual system usage of each respondent. The findings reveal a partial alignment between self-reported and actual usage frequency depending on divergent effectiveness levels. These insights contribute to the complex dynamics underlying user behavior and provide practical implications for organizations seeking to enhance effective BI utilization.

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References

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cover image ACM Conferences
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 11 May 2024

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