While artificial intelligence (AI) technologies offer much potential for a wide range of AI uses in organizations, identifying use cases involves making many decisions amidst influencing complications. While nascent methods for identifying such AI use cases seem promising, we know very little about their proven efficacy to actually guide decisions during the use case identification process. To investigate this efficacy, we conducted action design research at EnBW, one of Europe’s largest energy suppliers. We draw on interviews and an intervention at EnBW’s practices to develop a method, derive six design principles, and describe factors that increase our method’s efficacy. We therefore contribute a novel theoretical perspective on decision-making in contexts of organized anarchy, explaining how organizations can navigate the complexities of decisions in AI use case identification.

The inter-organizational processes in procurement remain burdened by media discontinuity, inefficiencies, and a lack of trust among trading partners. Blockchain-based information systems are frequently proposed as a remedy because they enable shared, tamper-evident records. However, existing instantiations rarely scale beyond small consortia because they fail to address the extended blockchain trilemma, which requires simultaneously achieving decentralization, scalability, security, and strict privacy requirements for sensitive commercial information. In contrast to prior blockchain procurement prototypes that manage the extended blockchain trilemma primarily through permissioned architectures, this study investigates how a blockchain-based information system can be designed to reconcile the trade-offs inherent in the extended trilemma, achieving a viable balance through architectural allocation and cryptographic enforcement. Following the design-science research paradigm, an empirically validated problem statement is synthesized from a structured literature review and expert interviews. Five design objectives are derived, evaluated, and used to guide a prototype design, which is then iteratively refined and evaluated through quantitative and formative assessments and sixteen semi-structured expert interviews. Reflection on the build–evaluate cycles yields two design principles: (1) Balancing decentralization, scalability, and security by using a public chain as a trust anchor, a Layer 2 for scaling, and decentralized communication between layers. (2) Maintaining that balance when privacy is required by integrating efficient, resilient cryptography and minimizing control points. These principles extend existing procurement research, linking business requirements to infrastructural choices, providing a transferable foundation for scholars and practitioners aiming to deploy secure, scalable, and privacy-preserving blockchain solutions in inter-organizational contexts. • Procurement processes suffer from media discontinuity, inefficiencies, and low trust. • DSR study derives five design objectives via literature review and expert interviews. • Prototype designed, tested, evaluated using public trust anchor and second-layer roll-up. • Two design principles guide blockchain design for inter-organizational settings.

Information technology (IT) organizations use strategic IT benchmarking (SITBM) to revise IT strategies or perform internal marketing. Despite benchmarking's long tradition, many SITBM initiatives do not reveal the desired outcomes. The vast body of knowledge on benchmarking and IT management does not help overcome the challenges of successful SITBM. We therefore synthesize the existing research on IT management and benchmarking into a concept relationship map and derive future research avenues. We find that there is much literature on how to obtain SITBM results. However, research does not explain how these results are transformed into outcomes – essentially the problem many practitioners struggle with.