The Innovation Analytics Maturity Model: A strategic tool for data-driven innovation
Yazarlar (2)
Doç. Dr. Eyüp ÇALIK Yalova Üniversitesi, Türkiye
Dr. Öğr. Üyesi Başak ÇETİNGÜÇ Yalova Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Business Horizons (Q1) | ||
| Dergi ISSN | 0007-6813 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 31-01-2026 |
| Cilt / Sayı / Sayfa | 69 / 1 / 887–903 | DOI | 10.1016/j.bushor.2026.01.002 |
| Makale Linki | https://linkinghub.elsevier.com/retrieve/pii/S0007681326000029 | ||
| UAK Araştırma Alanları |
Teknoloji ve Yenilik Yönetimi
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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 ... |
| Anahtar Kelimeler |
| Business value | Data-driven decision making | Innovation analytics | Maturity model |
Science Direct
The Innovation Analytics Maturity Model: A strategic tool for data-driven innovation
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 2 |
| Google Scholar | 7 |