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

Two colleagues and I recently published and presented a paper entitled “When Dashboard’s Content Becomes a Barrier-Exploring the Effects of Cognitive Overloads on BI Adoption” in International Conference on Research Challenges in Information Science.

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.

Feel free to share any comment or question you might have regarding the paper or the topic.

On the Popularity of Non-Fungible Tokens: Preliminary Results

Poster Presentation at the BRAINS 2021

Abstract. Blockchain technology supports digital assets, which can take the form of cryptocurrencies and tokens. Tokens are usually created on top of the blockchain platform, using smart contracts. Two main categories of tokens exist: Fungible Tokens and Non-Fungible Tokens (NFTs). Here, we focus on NFTs and propose a correlation analysis between various NFTs’ characteristics and the popularity of the NFTs. The results can have practical implications for both designers and users.

Requirements Elicitation for Applications Running on a Blockchain: Preliminary Results

Poster Presentation at the CAiSE Forum 2021

Abstract. Blockchain has been one of Gartner’s Top 10 Strategic Technology Trends for several consecutive years. The technology has evolved from a platform allowing transactions of cryptocurrency between peers (e.g. Bitcoin) to a platform allowing the design of Decentralized Applications (DApps). Despite their growing popularity, little attention has been paid to the Software Engineering aspect of DApps. In this work, we aim to start bridging this gap by addressing the Requirements Engineering of DApps. We collect, analyze and integrate DApp user reviews in order to propose a first list of user requirements for DApps. The results can have practical implications for both practitioners and researchers. The former can use the results to guide them in the design of DApps, while the latter can see this paper as a first result to build upon to advance the software engineering field of blockchain-based applications.