A business process management framework for enhancing enterprise resource planning value derived in supply chain optimization

Enterprise Resource Planning (ERP) systems easily diffuse knowledge and allow good business decisions for Information System (IS) technological and organizational advancement. This research is an investigation of how to improve the strategic management and operational efficiency of Enterprise Information Systems (EIS). A Business Process Management (BPM) framework was designed to integrate varying perspectives of organizational activities for wider collaboration and value derivation. The systematic methodology of Business process management (BPM) enables corporates to be more effective and efficient through continual process improvement. Elements used to build the BPM framework explain how to successfully derive value, inclusive of the performance indicators to measure outcomes. The model was tested with questionnaire data collected from corporates operating in the Southern African region and further refined based on Cronbach alpha reliability tests. The findings improve the interpretation of the determinants for the success of BPM and ERP IS from the user’s perspective. The results show that continuous improvement efforts and organisational support have positive influence on performance and validate the importance of quality, service, information, integration and workflow dependencies. Originality/value – This research extends prior work of BPM frameworks to follow up on customer orientation and servitization. Studies have not investigated relationship commitment between IT and operational business units. The relationship and interdependence of organisational functions is essential for Supply Chain value creation. Industrialization and information technology(IT) integration faces new opportunities. The agility of IT is further explored more into efforts of collaboration, structure, and innovation for future changes, emerging technologies and practices envisioned. This research seeks to propose a framework for the future development of smart supply chain, which can provide theory and case for intelligent operational activities with key technologies, such as RFID, Neural Networks, machine learning and artificial intelligence(AI)