Presenting the Interactive Control System Model in Knowledge-Based Companies

Abstract

The aim of this study is to present a model of the interactive control system in knowledge-based companies. In the current research, three Type II knowledge-based manufacturing companies active in the field of advanced machinery and equipment production in East Azerbaijan Province were studied. Accordingly, this research follows a case study strategy, with data collection conducted from a defined statistical population. Additionally, the research employs a developmental research strategy. For the analysis of data obtained from questionnaires, the coding procedure, in line with statistical requirements, was conducted using the SPSS.V24 software, and the PLS.V3 structural equation software was used for both descriptive and inferential statistics, applying linear and multiple regression. The statistical population of this research includes managers of Type I and Type II knowledge-based manufacturing companies and faculty members from the University of Tehran's Department of Business Management, particularly those specializing in policy-making. The sampling method used in this study was snowball sampling. The results of the research indicate that regulatory uncertainties significantly impact the interactive control system of projects (0.896), technological uncertainties impact the interactive control system of projects (0.140), human and social uncertainties impact the interactive control system of projects (0.225), economic and market uncertainties impact the interactive control system of profit planning (0.476), environmental uncertainties impact the interactive control system of brand profitability (0.643), and strategic uncertainties impact the interactive control system of intelligence (0.821).