Using a KMERP Framework to Enhance Enterprise Resource Planning (ERP) Implementation
Enterprise Resource planning (ERP) systems mainly aims to develop information sharing between different sections within the organization, and consider as a way of continuous improvement. Implementation and use of ERP systems require a tremendous amount of knowledge and experience. There are many failure reasons in the implementation of ERP systems and facing many challenges to apply of knowledge within organizations. This paper proposed KMERP framework to manage various knowledge within the ERP software. The proposed framework is composed of five dimensions (KM life cycle, ERP life cycle, System Development life cycle, information systems project management, and organization\'s Knowledge). The KMERP framework allows the organization to identify relevant knowledge to ERP systems as well as management of diverse sources of knowledge. It also helps to link explicit knowledge that stored in ERP repository with tacit knowledge that has been converted to an explicit knowledge and storage Knowledge Management repository. Moreover, the Implementation of KMERP Framework on ERP is discussed.
Keywords: Enterprise resource planning (ERP), Knowledge Management (KM), System Development Life Cycle (SDLS), Information Systems Project Management (ISPM), KMERP Framework.
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ABOUT THE AUTHORS
Hamdan M. Al-Sabri
Hamdan M. Al-Sabri received his B.Sc. degree in computer science in 2009 and his Master degree from King Saud University in 2011, and he is currently doing his PhD at the department of information Systems, college of computer and information sciences, King Saud University, Saudi Arabia. Al-Sabri has published papers in SOA, Knowledge Management, ERP, and Computer Security.
Saleh M. Al-Saleem
Saleh M. Al-Saleem Dr. Saleh Al-Saleem , Associate Professor in College of Computer and Information Science, King Saud University. He received his PhD from Wayne State University, Michigan, USA, 2001, in the field of computer science (Evolutionary Computation). He received his Master degree in computer science from Ball State University, IN, USA 1996, and His BS degree in computer science from College of education, King Saud University, Saudi Arabia 1991. He served as the dean of admission & registration in Shaqra University, and also served as the head of IT and e-Learning in Shaqra University. Previously he worked as head of Information Technology department at the Arab Open University, and before that he worked as the head of Computer Technology department and faculty member in Riyadh College of Technology. Dr. Al-Saleem current research interests includes: evolutionary computation, Text Classification, ERP, BPM, e-Learning, and Open Source.
Hamdan M. Al-Sabri
Hamdan M. Al-Sabri received his B.Sc. degree in computer science in 2009 and his Master degree from King Saud University in 2011, and he is currently doing his PhD at the department of information Systems, college of computer and information sciences, King Saud University, Saudi Arabia. Al-Sabri has published papers in SOA, Knowledge Management, ERP, and Computer Security.
Saleh M. Al-Saleem
Saleh M. Al-Saleem Dr. Saleh Al-Saleem , Associate Professor in College of Computer and Information Science, King Saud University. He received his PhD from Wayne State University, Michigan, USA, 2001, in the field of computer science (Evolutionary Computation). He received his Master degree in computer science from Ball State University, IN, USA 1996, and His BS degree in computer science from College of education, King Saud University, Saudi Arabia 1991. He served as the dean of admission & registration in Shaqra University, and also served as the head of IT and e-Learning in Shaqra University. Previously he worked as head of Information Technology department at the Arab Open University, and before that he worked as the head of Computer Technology department and faculty member in Riyadh College of Technology. Dr. Al-Saleem current research interests includes: evolutionary computation, Text Classification, ERP, BPM, e-Learning, and Open Source.
