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

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Research Challenges in Information Science: Information Science and the Connected World (RCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 476))

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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 dashboard 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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Author information

Authors and Affiliations

  1. NaDI University of Namur, Rue de Bruxelles 61, 5000, Namur, Belgium

    Corentin Burnay, Sarah Bouraga & Mathieu Lega

Authors
  1. Corentin Burnay
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  2. Sarah Bouraga
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  3. Mathieu Lega
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Corresponding author

Correspondence to Mathieu Lega .

Editor information

Editors and Affiliations

  1. Université Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

  2. University of Bergen, Bergen, Norway

    Andreas L. Opdahl

  3. University of Essex, Colchester, UK

    Haralambos Mouratidis

  4. Ionian University, Corfu, Greece

    Aggeliki Tsohou

Appendix

Appendix

1.1 A Multi-Item Scales for Each Variable

Variable

Code

Items

Dashboard Informational Load

IL1

The dashboard ventilates the products information across enough axes of analysis

IL2

The dashboard displays adequate quantity of indicators (measures or numbers) and with enough details about the products of AdventureWorks company

IL3

The dashboard emphasizes sufficiently trends, cycles or other patterns in the data about the products of AdventureWorks company

IL4

The dashboard offers well adapted interactions with AdventureWorks data

Dashboard Representational Load

RL1

The dashboard makes information about AdventureWorks products easily accessible

RL2

The dashboard makes it easy to compare and relate different products information

RL3

The dashboard is clearly organized and not too scattered

RL4

The dashboard displays a reasonable quantity of information that I could easily memorize

Dashboard Non-Informational Load

NIL1

The dashboard contains a reasonable number of images, logos, arrows and other static visuals

NIL2

The dashboard contains a reasonable amount of titles, info text and other free text zones

NIL3

The dashboard proposes a relevant use of colors and mix of 2D/3D visuals

NIL4

The dashboard shows a reasonable amount of buttons, URL to other websites, etc

Dashboard Perceived Usefulness

USE1

The dashboard helps me decide more quickly and more easily which product AdventureWorks should keep selling

USE2

The dashboard is more adapted than interviews or verbal discussion to decide which product to recommend to AdventureWorks

USE3

After reading the dashboard, I feel I am better informed about AdventureWorks products

USE4

The dashboard is important for me to produce advice for AdventureWorks

Dashboard Perceived Ease of Use

EOU1

The interaction with the dashboard is clear and understandable

EOU2

The dashboard is easy to use and I find information easily

EOU3

I find it easy to extract the information I need from the dashboard

EOU4

I would share the dashboard even with someone who has no IT background

Dashboard Perceived Enjoyment

ENJ1

Botched vs. neat

ENJ2

Exciting vs. dull

ENJ3

Pleasant vs. unpleasant

ENJ4

Interesting vs. boring

Behavioral intention to use the Dashboard

ITU1

In the near future, I predict I’ll use the dashboard again to complete my consulting mission for AdventureWorks

ITU2

If hired by Adventure Works company, I would keep working with the present dashboard, and would not ask for another dashboard

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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: Nurcan, S., Opdahl, A.L., Mouratidis, H., Tsohou, A. (eds) Research Challenges in Information Science: Information Science and the Connected World. RCIS 2023. Lecture Notes in Business Information Processing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-031-33080-3_26

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  • DOI: https://doi.org/10.1007/978-3-031-33080-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33079-7

  • Online ISBN: 978-3-031-33080-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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