Application of the Q method in the implementation of integrated information management systems in the life cycle management of products based on industry 4.0

From the perspective of Integrated Information Management Systems (IIMS) in Product Lifecycle Management (PLM) based on the concept of Industry 4.0, motivation arises that is also catalyzed by the need to understand how to effectively manage information, in their relationships with I4.0 and PLM technologies, can mediate or moderate their relationships with market performance (MP) perspectives, fill gaps in the literature, and provide practical insights for organizations in an increasingly complex and data-driven. This article aims to study the implementation of IIMS in PLM aligned with the principles of Industry 4.0 against the backdrop of strengthening companies in highly competitive environments. This analysis aims to understand each component as an isolated entity and explore hypotheses and effects that synergistically connect them. The implications that depend on each other and can have a significant role in improving the performance of organizations were presented. When applying the Q method, correlations and clusters in the data will be analyzed. Dependency and interdependence relationships between variables will be identified to validate the preliminary conceptual framework in industrial environments using the Q method and construct validation by Exploratory Factor Analysis (EFA), including Mean Extraction Statistics, Statistical Deviation Error, Statistical Asymmetry and Short Statistics. The contribution of this study is the definition of the interactions between the technologies addressed, representing both a scientific advance and a practical application, providing a guide for decision-making and implementation of technologies in industry.