Preprint Article Version 1 This version is not peer-reviewed

Unlocking Innovation in Photochemical Technologies: A Data-Driven Strategy for Business Breakthroughs

Version 1 : Received: 1 November 2024 / Approved: 4 November 2024 / Online: 6 November 2024 (02:37:51 CET)

How to cite: Ahsun, A.; Litty, A.; joy, B. Unlocking Innovation in Photochemical Technologies: A Data-Driven Strategy for Business Breakthroughs. Preprints 2024, 2024110148. https://doi.org/10.20944/preprints202411.0148.v1 Ahsun, A.; Litty, A.; joy, B. Unlocking Innovation in Photochemical Technologies: A Data-Driven Strategy for Business Breakthroughs. Preprints 2024, 2024110148. https://doi.org/10.20944/preprints202411.0148.v1

Abstract

The development of advanced photochemical technologies requires a synergy of scientific innovation and business acumen. This study explores the pivotal role of business analytics in accelerating the development and commercialization of photochemical technologies. By integrating data-driven insights with chemical engineering principles, businesses can optimize research and development (R&D) investments, streamline process efficiencies, and identify high-potential applications. This research employs a mixed-methods approach, combining case studies, surveys, and statistical analysis to investigate the impact of business analytics on photochemical technology development. Key findings highlight the benefits of analytics-driven decision-making, including enhanced productivity, reduced time-to-market, and improved return on investment (ROI). Furthermore, this study identifies critical factors influencing the effective adoption of business analytics in photochemical technology development, including data quality, organizational culture, and cross-functional collaboration. The results provide valuable implications for researchers, practitioners, and policymakers seeking to harness the potential of business analytics to drive innovation and growth in the photochemical industry

Keywords

business analytics; photochemical technologies; innovation; R&D; data-driven decision-making; productivity

Subject

Business, Economics and Management, Business and Management

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