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Artificial intelligence (AI) technologies are engaged in a harsh battle for market dominance. This article examines the emergence of a dominant design in terms of technology, service, and business model innovation. We conduct a theoretical synthesis of the literature on industrial organization, technology management, network economics, operations management, and strategic management—with the implications of each theory related to the dominant-design battle in AI. The findings indicate a dominant design for AI will be based on innovation concerning business models as much as on technology, and that the dominant business model will include AI as a service. [ABSTRACT FROM AUTHOR]

The assessment of creativity is both elaborating and challenging with today's tools and methods in organisational creativity. This study presents the result of an AI-based model for the originality assessment of creative ideas using an artificial intelligence (AI) tool (Word2Vec). First, we define everyday creativity and outline the relevance and challenges of its evaluation. Then, the Word2Vec algorithm is introduced and used to develop three different models for originality assessment by calculating a semantic distance between ideas. We conclude with an empirical validation of the three models. While results indicate that all three models can be used to measure idea originality, they further point out that merely human-based assessments may be task-dependent. The paper closes with implications for research and practice to integrate AI in creative idea originality measurement. Managers can use the methods presented in this study to benefit from AI-supported creativity within their companies. Furthermore, idea managers of companies with large idea databases can implement the algorithms to analyse employee ideas regarding specific contexts or topics within their innovation management processes. [ABSTRACT FROM AUTHOR]