Intelligent agents may become our co-workers. As intelligent agents powered by agentic information systems are acquiring more capabilities, humans consider teaming up with them in ever more circumstances. However, research and practice still face major uncertainties and difficulties when implementing intelligent agents into work systems together with humans.

We addressed the lack of guidance on how to design work systems in which human and intelligent agents can collaborate, by investigating the central aspects that describe the collaboration of human and intelligent agents in work systems. We did so by building on a literature review on human-robot interaction and taking the work system perspective. This results in two contributions. First, we identified 16 important design dimensions of collaboration between human and intelligent agents. Second, we assembled these dimensions into a task-related framework that highlights specific design parameters and important considerations when designing work systems where human and intelligent agents collaborate.

I am happy that our paper "Teaming Up With Intelligent Agents – A Work System Perspective on the Collaboration With Intelligent Agents" has been accepted for presentation at the 32nd European Conference on Information Systems (ECIS 2024). The conference will take place from June 13 to 19 in Paphos, Cyprus.

The business value of data-driven insight initiatives (DDII), such as business intelligence or big data analytics, has been primarily studied from a variance perspective, often neglecting the process perspective. Although the variance perspective is well established and identifies key factors or capabilities critical to business value creation, the process perspective can provide explanations of how capabilities lead to business value. For organizations to fully understand how these capabilities impact the value-creation process and to prevent the failure of DDII, there is a need for prescriptive knowledge that encompasses both perspectives.

Through a systematic literature review, our research work highlights the variance-focused conceptual landscape of DDII business value research. Based on these findings, along with an analysis of the (process-) explanations for this relationship, we introduce a hybrid explanation model that integrates the insights from both perspectives, thus providing a more comprehensive understanding of the mechanisms by which DDII capabilities lead to business value.

I am happy that our paper "From Data to Value: Revisiting Business Value Research in the Context of Data Insights-Driven Initiatives" has been accepted for presentation at the 32nd European Conference on Information Systems (ECIS 2024). The conference will take place from June 13 to 19 in Paphos, Cyprus.