The innovation analytics maturity model: A strategic tool for data-driven innovation
Yazarlar (1)
Doç. Dr. Eyüp ÇALIK Yalova Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Business Horizons | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | Türkçe | Basım Tarihi | 01-2026 |
| Cilt / Sayı / Sayfa | 0 / 0 / – | DOI | 10.1016/j.bushor.2026.01.002 |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S0007681326000029 | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| Organizations increasingly acknowledge that data-driven insights are essential for successful innovation; nonetheless, there is a significant deficiency in frameworks for systematically evaluating and enhancing analytical capabilities within innovation process. This study introduces the Innovation Analytics Maturity Model (IAMM), a framework that allows organizations to assess and enhance their ability to utilize analytics across the innovation lifecycle. IAMM addresses the convergence of innovation maturity and analytics maturity--two areas that have been predominantly studied in isolation, despite their increasing interrelation in contemporary business contexts. The model comprises five fundamental dimensions: Strategy and Management, Data, Analytical Competence, Business Value, and Culture and Transformation, each featuring distinct sub-dimensions with operational definitions. The IAMM was developed ... |
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BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 5 |