Developing a Business Innovation Model Based on Artificial Intelligence and Blockchain Technology Using a Data-Driven Grounded Theory Approach
Keywords:
Data-driven approach, Business innovation , Blockchain technology , Artificial intelligenceAbstract
The objective of the study is to develop a comprehensive model that explains business innovation processes based on artificial intelligence and blockchain technology. This qualitative study applied the Strauss and Corbin grounded theory methodology to explore the components of AI- and blockchain-based business innovation. Data were collected through semi-structured, in-depth interviews with 15 experts in artificial intelligence and blockchain, selected through purposive snowball sampling. Validity was ensured through investigator triangulation and member checking. The analytical process involved open, axial, and selective coding, resulting in a structured model comprising causal conditions, core phenomenon, contextual conditions, intervening conditions, strategies, and outcomes. Findings indicated that the emergence of AI- and blockchain-based business innovation is driven by causal conditions such as rapid technological evolution, customization demands, and innovation-intensive competition. Intervening conditions—including economic instability, talent shortages, and low digital maturity—act as constraints, while technological infrastructure, cybersecurity mechanisms, and ethical-legal frameworks facilitate innovation processes. Identified strategies such as innovation effectiveness, data-driven dynamism, customer-centered innovation, and decision-optimization collectively contribute to outcomes including sustained competitive advantage, intelligent organizational agility, data-driven value creation, and strengthened digital resilience. The study concludes that integrating AI and blockchain represents a transformative paradigm that reshapes business innovation processes. The proposed model offers a systematic framework for guiding organizations toward more agile, data-centric, and resilient innovation strategies, enabling enhanced value creation and long-term competitiveness.
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