Oct 2026· Benchmarking : An International Journal· 0 citations· 158 references
Abstract
Outcome-based contracts (OBCs) are emerging business models that can enhance returns from investments in artificial intelligence (AI) and digital transformation. This study identifies the barriers to OBC adoption to explain how organizations can overcome the digital paradox – the under-realization of value from digital technology investments.
The study integrates the Grey Systems Theory with the DEMATEL (Grey-DEMATEL) to address uncertainty in expert judgments and to identify, rank and analyse the causal interrelationships among barriers to OBC adoption.
The results show that digitally-enabled OBCs (eOBCs) represent an incomplete contracting phenomenon, with barriers spanning technology, strategy, governance and performance measurement. The study identifies joint ownership as a critical mechanism for overcoming these barriers by facilitating asset evolution, improving performance measurability, reducing monitoring costs and safeguarding legitimacy and competencies. It further demonstrates that ownership should be viewed as dynamic, with ex post ownership determined by the party whose investments best sustain long-term value creation.
The study advances understanding of the digital paradox by integrating transaction cost economics, generalized property rights theory and digital servitisation. Future research could examine industry contexts, investment risks and cross-country differences in digital asset formation.
The findings underscore the importance of collaborative technology provider–user relationships, continuous value chain reconfiguration and adaptive ownership allocation to maximize value from digital technology investments.
This study provides a novel theoretical framework explaining how digitally transformed OBCs can unlock business value from digital technologies and mitigate the digital paradox.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.