Artificial Intelligence-Driven Product Development and Strategic Innovation Excellence

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@article{1713544,
      author = {Kehinde Arigbolo},
      title = {Artificial Intelligence-Driven Product Development and Strategic Innovation Excellence},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {7},
      pages = {1020-1025},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713544.pdf},
      abstract = {Artificial Intelligence (AI) has reshaped the strategic innovation environment by allowing corporations to improve the speed of their decision-making, respond to the ever-changing competitive environment, and incorporate sustainability into the development of products as well as operational practices. Although it is witnessing an increasing scholarly interest, there is still a void in the knowledge of how AI-enabled innovation capabilities were translated into both performance improvement and sustainable development outcomes. The studies conducted in the Nigerian banking industry showed that the use of AI had a substantial impact on organizational agility that, in turn, increased productivity, competitiveness, and customer satisfaction. Similarly, the sustainability-based studies pointed out that the AI potentials had to be created on organizational, technical, and processing levels to guarantee responsible transformation on a long-term basis. This paper integrated these findings and came up with a unified conceptual model that places organizational agility as a strategic intermediary between AI implementation and company-level innovative performance.  Finally, to ensure the responsible and performance-enhancing AI diffusion in various industries, this paper discussed managerial implications and future research directions.},
      keywords = {Artificial Intelligence; Sustainable Innovation; Organizational Agility; Strategic Performance; Digital Transformation; Sustainable Development},
      month = {January},
      doi = {https://doi.org/10.64388/IREV9I7-1713544}
  }