Determinants of Product Innovation Performance in Aviation Industry in Saudi Arabia
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- Aditya Gautam & Surya Prakash & Umang Soni, 2018. "Supply chain risk management and quality: a case study and analysis of Indian automotive industry," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(1/2), pages 194-212.
- Ghazi A. Al-Weshah, 2017. "Marketing intelligence and customer relationships: empirical evidence from Jordanian banks," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(3), pages 141-152, December.
- Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
- Akif Yousef Al-Zyadat & Ayed Al-Zyadat, 2018. "Examining New Product Financial Performance Through Marketing Intelligence Quality, Customer Interaction Capabilities and Customer-Centric Commitment on Jordan¡¯s Micro Retail Fashions," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 95-108, June.
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Keywords
market intelligence quality (MIQ); manufacturing–marketing coordination (MMC); supply chain intelligence quality (SCIQ);All these keywords.
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