When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption

Corentin Burnay; Sarah Bouraga; Mathieu Lega

doi:10.1007/978-3-031-33080-3_26

When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption

Corentin Burnay, Sarah Bouraga, Mathieu Lega

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Abstract

Decision makers in organizations strive to improve the quality of their decisions. One way to improve that process is to objectify the decisions with facts. Big data, business analytics, business intelligence, and more generally data-driven Decision Support Systems (data-driven DSS) intend to achieve this. Organizations invest massively in the development of data-driven DSS and expect them to be adopted and to effectively support decision makers. This raises many technical and methodological challenges, especially regarding the design of dashboards, which can be seen as the visible tip of the data-driven DSS iceberg and which play a major role in the adoption of the entire system. This paper advances early empirical research conducted on one possible root cause for data-driven DSS dashboard adoption or rejection, namely the dashboar
content. We study the effect of dashboards over- and underloading on traditional Technology Adoption Models, and try to uncover the trade offs to which data-driven DSS interface designers are confronted when creating new dashboards. The result is a Dashboard Adoption Model, enriching the seminal TAM model with new content-oriented variables to support the design of more supportive data-driven DSS dashboards.

Original language	English
Title of host publication	Research Challenges in Information Science
Subtitle of host publication	Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings
Editors	Selmin Nurcan, Andreas L. Opdahl, Haralambos Mouratidis, Aggeliki Tsohou
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	435-451
Number of pages	17
ISBN (Print)	9783031330797
DOIs	https://doi.org/10.1007/978-3-031-33080-3_26
Publication status	Published - 26 May 2023
Event	17th International Conference on Research Challenges in Information Sciences, RCIS 2023 - Corfu, Greece Duration: 23 May 2023 → 26 May 2023

Publication series

Name	Lecture Notes in Business Information Processing
Volume	476 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	17th International Conference on Research Challenges in Information Sciences, RCIS 2023
Country/Territory	Greece
City	Corfu
Period	23/05/23 → 26/05/23

Keywords

Dashboards Adoption
Decision Making
Decision Support Systems
Information Overloads
Structural Equation Modeling

Access to Document

10.1007/978-3-031-33080-3_26

Cite this

Burnay, C., Bouraga, S., & Lega, M. (2023). When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption. In S. Nurcan, A. L. Opdahl, H. Mouratidis, & A. Tsohou (Eds.), Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings (pp. 435-451). (Lecture Notes in Business Information Processing; Vol. 476 LNBIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33080-3_26

Burnay, Corentin ; Bouraga, Sarah ; Lega, Mathieu. / When Dashboard’s Content Becomes a Barrier : Exploring the Effects of Cognitive Overloads on BI Adoption. Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. editor / Selmin Nurcan ; Andreas L. Opdahl ; Haralambos Mouratidis ; Aggeliki Tsohou. Springer Science and Business Media Deutschland GmbH, 2023. pp. 435-451 (Lecture Notes in Business Information Processing).

@inproceedings{fe44ff1bcc3b47d4bea62212ec20f44f,

title = "When Dashboard{\textquoteright}s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption",

abstract = "Decision makers in organizations strive to improve the quality of their decisions. One way to improve that process is to objectify the decisions with facts. Big data, business analytics, business intelligence, and more generally data-driven Decision Support Systems (data-driven DSS) intend to achieve this. Organizations invest massively in the development of data-driven DSS and expect them to be adopted and to effectively support decision makers. This raises many technical and methodological challenges, especially regarding the design of dashboards, which can be seen as the visible tip of the data-driven DSS iceberg and which play a major role in the adoption of the entire system. This paper advances early empirical research conducted on one possible root cause for data-driven DSS dashboard adoption or rejection, namely the dashboar content. We study the effect of dashboards over- and underloading on traditional Technology Adoption Models, and try to uncover the trade offs to which data-driven DSS interface designers are confronted when creating new dashboards. The result is a Dashboard Adoption Model, enriching the seminal TAM model with new content-oriented variables to support the design of more supportive data-driven DSS dashboards.",

keywords = "Dashboards Adoption, Decision Making, Decision Support Systems, Information Overloads, Structural Equation Modeling",

author = "Corentin Burnay and Sarah Bouraga and Mathieu Lega",

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Burnay, C , Bouraga, S & Lega, M 2023, When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption. in S Nurcan, AL Opdahl, H Mouratidis & A Tsohou (eds), Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. Lecture Notes in Business Information Processing, vol. 476 LNBIP, Springer Science and Business Media Deutschland GmbH, pp. 435-451, 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, Corfu, Greece, 23/05/23. https://doi.org/10.1007/978-3-031-33080-3_26

When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption. / Burnay, Corentin ; Bouraga, Sarah ; Lega, Mathieu.
Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. ed. / Selmin Nurcan; Andreas L. Opdahl; Haralambos Mouratidis; Aggeliki Tsohou. Springer Science and Business Media Deutschland GmbH, 2023. p. 435-451 (Lecture Notes in Business Information Processing; Vol. 476 LNBIP).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - When Dashboard’s Content Becomes a Barrier

T2 - 17th International Conference on Research Challenges in Information Sciences, RCIS 2023

AU - Burnay, Corentin

AU - Bouraga, Sarah

AU - Lega, Mathieu

PY - 2023/5/26

Y1 - 2023/5/26

N2 - Decision makers in organizations strive to improve the quality of their decisions. One way to improve that process is to objectify the decisions with facts. Big data, business analytics, business intelligence, and more generally data-driven Decision Support Systems (data-driven DSS) intend to achieve this. Organizations invest massively in the development of data-driven DSS and expect them to be adopted and to effectively support decision makers. This raises many technical and methodological challenges, especially regarding the design of dashboards, which can be seen as the visible tip of the data-driven DSS iceberg and which play a major role in the adoption of the entire system. This paper advances early empirical research conducted on one possible root cause for data-driven DSS dashboard adoption or rejection, namely the dashboar content. We study the effect of dashboards over- and underloading on traditional Technology Adoption Models, and try to uncover the trade offs to which data-driven DSS interface designers are confronted when creating new dashboards. The result is a Dashboard Adoption Model, enriching the seminal TAM model with new content-oriented variables to support the design of more supportive data-driven DSS dashboards.

AB - Decision makers in organizations strive to improve the quality of their decisions. One way to improve that process is to objectify the decisions with facts. Big data, business analytics, business intelligence, and more generally data-driven Decision Support Systems (data-driven DSS) intend to achieve this. Organizations invest massively in the development of data-driven DSS and expect them to be adopted and to effectively support decision makers. This raises many technical and methodological challenges, especially regarding the design of dashboards, which can be seen as the visible tip of the data-driven DSS iceberg and which play a major role in the adoption of the entire system. This paper advances early empirical research conducted on one possible root cause for data-driven DSS dashboard adoption or rejection, namely the dashboar content. We study the effect of dashboards over- and underloading on traditional Technology Adoption Models, and try to uncover the trade offs to which data-driven DSS interface designers are confronted when creating new dashboards. The result is a Dashboard Adoption Model, enriching the seminal TAM model with new content-oriented variables to support the design of more supportive data-driven DSS dashboards.

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DO - 10.1007/978-3-031-33080-3_26

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SN - 9783031330797

T3 - Lecture Notes in Business Information Processing

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EP - 451

BT - Research Challenges in Information Science

A2 - Nurcan, Selmin

A2 - Opdahl, Andreas L.

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PB - Springer Science and Business Media Deutschland GmbH

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Burnay C , Bouraga S , Lega M. When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption. In Nurcan S, Opdahl AL, Mouratidis H, Tsohou A, editors, Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 435-451. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-33080-3_26

When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption

Abstract

Publication series

Conference

Keywords

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Reducing the Effects of Information Overload on Governments Decision-Making: Empirical Frameworks to Support Data Selection

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When Dashboard’s Content Becomes a Barrier: Exploring the Effects of Cognitive Overloads on BI Adoption

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

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Student theses

Reducing the Effects of Information Overload on Governments Decision-Making: Empirical Frameworks to Support Data Selection

Cite this