Business Process Maturity Assessment Methodology: An Adaptive Approach for Project-Surveying Activities

This article addresses the pressing issue of improving business process management systems within project and survey organizations amidst the ongoing digital transformation. It posits the necessity of developing a specialized methodology for assessing the maturity of business process management, one that accounts for the specific characteristics of this sector. The authors conduct an analysis of existing approaches to business process maturity assessment (CMMI, PEMM, COBIT), demonstrating their limited applicability to project and survey activities due to the high degree of project uniqueness and dependence on external factors. As a solution, a multi-criteria model for maturity assessment is proposed and developed, encompassing 22 criteria organized into 8 thematic groups, covering both managerial and technological dimensions. The research outcomes include the development of an adapted methodology for assessing the maturity of business process management, integrating managerial and technological facets of project and survey organizations' operations. Maturity levels for business processes are proposed, linked to specific digitalization tools. The study concludes that the developed methodology enables a comprehensive evaluation of the current level of business process management maturity, identification of problem areas, and determination of avenues for improvement. The theoretical significance of the research lies in advancing the theory of business process management as applied to project and survey activities. The authors highlight the practical significance in the potential use of the developed methodology for diagnosing business process management systems and making informed decisions on their improvement, with the aim of enhancing overall company efficiency. It is noted that the proposed methodology can serve as a basis for forming digital transformation strategies in the project and survey industry; however, its application requires consideration of regional regulatory features. The authors identify the integration of blockchain and IoT solutions to enhance the accuracy of project assessment and management in real-time as a promising direction for future research.

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