Identifying Key Factors Influencing Technology Roadmapping in Enterprise Resource Planning (ERP) Systems: A Framework for Successful Organizational Implementation
نویسندگان
1 Associate Professor, Department of Knowledge and Information Science, University of Qom, Qom
2 PhD Candidate in Knowledge & Information Science, University of Qom, Qom, Iran
doi
10.22091/jemsc.2026.13608.1294چکیده
This study aims to identify and rank the key factors influencing the development of Technology Roadmapping (TRM) in information management for Enterprise Resource Planning (ERP) systems across large and small organizations, with particular emphasis on Small and Medium-sized Enterprises (SMEs). The study seeks to propose a comprehensive and flexible framework to mitigate ERP implementation risks, strengthen strategic alignment, enhance organizational performance, and facilitate digital transformation. Furthermore, the provision of actionable guidance for managers regarding resource allocation and the mitigation of ERP implementation challenges constitutes a central objective of this research. The research adopts a quantitative, descriptive-analytical approach. Data were extracted from 70 authoritative scientific sources and analyzed through qualitative content analysis, through which seven key factors were identified: Organizational Readiness, Top Management Support, Information Technology (IT) Infrastructure, ERP System Quality, Critical Success Factors (CSFs), Project Management, and Change Management. Factor prioritization was conducted using the CODAS method within a Multi-criteria decision-making (MCDM) framework combined with Fuzzy evaluation, thereby enhancing analytical precision. The findings demonstrate that Organizational Readiness and IT Infrastructure, with a joint score of 0.956, constitute the most critical factors in ERP Technology Roadmapping. Subsequently, Top Management Support, Critical Success Factors, and Change Management, with a score of 0.522, occupy the second rank, while ERP System Quality and Project Management, with a score of 0.000, are positioned in the third rank. The proposed framework demonstrates applicability across diverse organizational contexts and contributes to the reduction of financial and operational risks. By prioritizing key factors, the framework facilitates optimal resource allocation and alleviates ERP implementation challenges. Future research is recommended to investigate emerging technologies, such as cloud-based ERP and artificial intelligence, within the context of ERP Technology Roadmapping.