A Cloud-Native Decision Intelligence Model for Integrating Operational Analytics and Human Leadership in High-Performance Supply Chain Networks

@article{1722179,
      author = {Amruth Jutty Venkatesh},
      title = {A Cloud-Native Decision Intelligence Model for Integrating Operational Analytics and Human Leadership in High-Performance Supply Chain Networks},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {2},
      pages = {3649-3664},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1722179.pdf},
      abstract = {The growing complexity of global supply chains has made the development of intelligent decision-making systems that can combine innovative technology applications and smart human leadership imperative. Although cloud-native computing and operational analytics provide the necessary infrastructure and business intelligence, respectively, many businesses still encounter difficulties turning analysis results into viable strategies. This study explores the integration of cloud-native architecture, Decision Intelligence, operational analytics, and human leadership as complementing capacities that could be used to enhance supply chain performance. Expanding on previous work, the paper suggests a novel framework called Cloud-Native Decision Intelligence (CNDI) model which encompasses cloud infrastructure, consolidated operational data, intelligent analytics, executive judgement, collaborative decision making and organizational learning as elements of the decision ecosystem. The paper discusses the importance of coordinating digital capabilities and human knowledge, ethics and leadership in order to achieve sustainable competitive advantage. In addition, the paper highlights how decision-integrated environments facilitate improved operational performance, resilience, agility, collaboration and competitiveness of high-performance supply chains. The findings contribute to the growing body of knowledge on intelligent supply chain management by presenting a conceptual framework that positions human leadership as an essential complement to cloud-native analytics rather than a substitute for technological innovation.},
      keywords = {Cloud-native computing, Decision Intelligence, Operational Analytics, Human Leadership, Supply Chain Management, Artificial Intelligence, Digital Transformation, Organizational Resilience.},
      month = {August},
  }