Information systems are critical for companies since they offer quick and easy access to complex and significant data in a structured manner to make informed and effective business decisions. Hence, the objective of this study is to conceptualize and implement an innovative information system in the case study organization. The study identified the requirements for Organizing Vision Theory (OVT) and developed architecture based on Organizational Information Processing Theory (OIPT). This architecture is designed and developed using the Industrial Internet of Things (IIoT) to support a self-organizing vision and enhanced information processing. The study’s contribution lies in developing and executing an integrative architecture of IIoT-driven information systems from the lenses of OVT and OIPT. Further, this study contributes by mapping OVT elements (such as transparency, continuity, and coherence) and OIPT elements (information processing needs and capabilities) to drive value and knowledge through a robust architecture of IIoT-driven information systems. The study also highlights the contribution of IIoT-based information systems to a new knowledge system, facilitating better decision-making by professionals.

信息系统对于公司至关重要，因为它们可以以结构化方式快速、轻松地访问复杂且重要的数据，从而做出明智且有效的业务决策。因此，本研究的目的是在案例研究组织中概念化和实施创新的信息系统。该研究确定了组织视觉理论 (OVT) 的要求，并开发了基于组织信息处理理论 (OIPT) 的架构。该架构是使用工业物联网 (IIoT) 设计和开发的，以支持自组织视觉和增强的信息处理。该研究的贡献在于从 OVT 和 OIPT 的角度开发和执行 IIoT 驱动的信息系统的集成架构。此外，本研究还通过映射 OVT 元素（例如透明度、连续性和一致性）和 OIPT 元素（信息处理需求和能力）来通过 IIoT 驱动的信息系统的稳健架构来驱动价值和知识。该研究还强调了基于工业物联网的信息系统对新知识体系的贡献，有助于专业人员做出更好的决策。