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 | İngilizce | Basım Tarihi | 01-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2026 |
| Cilt / Sayı / Sayfa | – / 1 / – | 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 |