Improve construction knowledge management system by using the soft system methodology

Abstract

The construction industry has a poor record in the management of its knowledge and results into huge wastage of resources and detrimental effect to quality. Research has shown that data and information management system plus knowledge management are a critical part of today\u27s project management practice for construction projects. Few people will deny that \u27quality information\u27 and \u27useful knowledge\u27 are extremely important to any decision-making. However, the current processes of handling information and knowledge in the construction industry and increasingly costly. One of the major reasons is the nature of this industry is not conducive to good knowledge management and the traditional data/information systems used in the industry has long been critisized. It is very common that information is often duplicated, inconsistent and not current. In turn, making knowledge becomes difficult to manage properly. Project managers have in the past found it very difficult to source and analyse data in order to make sound decisions. This paper is part of a doctoral research project which summarizes three exploratory surveys; namely ERP system, Partnering strategy and Leadership impact of a knowledge management system in a construction company. Those findings are described by using the Soft Systems Methodology (SSM) which later becomes the basis for actions research. SSM is useful to reveal complexities of the knowledge management situations that occur in construction industry. The first stage was to conduct interviews of the different practices in knowledge and reporting process. Then, the SSM rich picture was developed to present the problematic areas including difficulties in inputting data to enable the knowledge platform in place. The research then develops root definition and CATWOE, and a conceptual model was formed. Interviewees were conducted with structured questions to identify prioritized actions and activities that can be undertaken to improve and manage the knowledge platform