The Industrial Internet of Things (IIoT) holds great potential for fostering

innovation across various industries. This study explores the role of boundary resources

(BR) in catalyzing this potential, specifically focusing on the experiences and challenges

faced by data scientists within IIoT platforms. In a qualitative research approach, semi-

structured interviews were conducted with eight data scientists that uncovered how specific

BR related to metadata management, tool integration, business models, and API design

might impact their work and the innovative environment. The analysis reveals that these BR

are essential in shaping the effectiveness of IIoT platforms but often fall short in meeting the

unique needs of data scientists, thereby inhibiting innovation. The findings suggest that an

actor-centric redesign of BR, emphasizing the specialized workflows and technical demands

of data scientists, might enhance the flexibility and functionality of IIoT platforms. Platform

owners are encouraged to adopt adaptable and dynamic BR designs to leverage data

scientists' diverse capabilities and insights, especially in business-to-business (B2B)

environments.