Artificial intelligence support for knowledge management in construction

The deployment of Artificial Intelligence (AI) tools and techniques to various problem domains in organisation has been steady since their introduction.On the other hand, knowledge management is an innovative approach which is increasingly seen as a source of competitive advantage.This study attempts to investigate the use of established and proven AI tools and techniques in supporting end-users of knowledge management systems through more efficient elicitation and representation of corporate knowledge.Case studies are used to show the situations of knowledge management systems in the construction organisations.From the results of the case studies, this paper attempts to show the usefulness of deploying AI tools and techniques in capturing and representation knowledge in the context of the construction industry

Exploring Mechanisms in Tacit Knowledge Externalization: Preliminary Findings from Participatory Agricultural Innovation Practices in Ethiopia

Tacit knowledge is embedded in people’s experiences, expertise, know-how, skills, techniques, insights, judgments, actions or behaviors. This knowledge is a source of innovation that can provide dynamic responses to context specific problems. Effective exploitation and management of tacit knowledge is critical, but the subject of tacit knowledge in general and the process of its externalization and sharing in particular are still relatively unexplored and not fully understood. In addition, the agricultural sector has rarely been the topic of inquiry in research related to tacit knowledge elicitation and most previous studies focus on high tech industries and business organizations. This paper explored what mechanisms are being used to externalize tacit knowledge and what factors impact this process given the context of participatory agricultural research in Ethiopia. We applied a qualitative case study method using an in-depth semi-structured interviews, focus group discussions and document analysis as data collection tool

Performance Management by Causal Mapping: An Application Field of Knowledge Management

As implied by the performance management (PM) concept, modern corporate management has to focus on cause-and-effect relationships underlying a firm´s financial performance generation. To determine the causes of financially desirable effects, subject-bound experiences and knowledge of employees, called tacit knowledge, should be realised. For this, knowledge management (KM) offers various elicitation techniques to reveal corporate-specific success factors (SFs) of financial performance generation from the corporate experts´ implicit knowledge. The identified factors have to be organised within a network of cause-and-effect relationships. In this framework, PM can apply the instrument of mapping to structure the individually revealed knowledge, to aggregate and visualise it for the entire company. For a valid representation of the causal relationships, the subjective bias arising within the mentioned process has to be minimised. In the literature, a variety of mapping methods can be found that differ in their approaches and their level of significance. As such a method, causal mapping will be presented in this paper. For providing intersubjectivity, the decision-making trail and evaluation laboratory (DEMATEL) as a multi-criteria approach will be debated in the context of mapping as a research field

Major project team learning:examining building information modelling

The speed of technological advancement of software development drives the need for individual and team learning to exploit these developments for competitive advantage. Using a major long term redevelopment as a case study a review of learning processes and project team learning in the context of a voluntary approach to adopting of BIM prior to 2016 is examined. The speed of adoption of BIM across a large redevelopment project covering several years is variable and the differences of preparedness between team members from different organisations raises the question of how effective the project team can be in sharing learning and increasing the speed of adoption of BIM. The benefits of understanding the project environment as a formal learning context are recognised where teams are working in partnering arrangements but the focus is usually on post project review of what went wrong with little time to critically evaluate other variables. Knowledge Management has the potential to help understand and then facilitate greater participation amongst stakeholders in project team learning. The research team undertook decision mapping and knowledge elicitation techniques and applied these to the Dundee Waterfront to identify key factors relevant to successful project management, enabling the Waterfront Project Team to understand current practice. The effectiveness of project team learning in relation to BIM within this long-term major redevelopment is influenced by positive motivational drivers for individuals to learn how to use and apply BIM, the level of organisational support for learning and professional development and the project information and communication systems. In practice the current approach to sharing of knowledge within the project team indicates a fragmented approach in relation to the adoption and application of BIM to managing construction projects

Effective communication in requirements elicitation: A comparison of methodologies

The elicitation or communication of user requirements comprises an early and critical but highly error-prone stage in system development. Socially oriented methodologies provide more support for user involvement in design than the rigidity of more traditional methods, facilitating the degree of user-designer communication and the 'capture' of requirements. A more emergent and collaborative view of requirements elicitation and communication is required to encompass the user, contextual and organisational factors. From this accompanying literature in communication issues in requirements elicitation, a four-dimensional framework is outlined and used to appraise comparatively four different methodologies seeking to promote a closer working relationship between users and designers. The facilitation of communication between users and designers is subject to discussion of the ways in which communicative activities can be 'optimised' for successful requirements gathering, by making recommendations based on the four dimensions to provide fruitful considerations for system designers

Eliciting Expertise

Since the last edition of this book there have been rapid developments in the use and exploitation of formally elicited knowledge. Previously, (Shadbolt and Burton, 1995) the emphasis was on eliciting knowledge for the purpose of building expert or knowledge-based systems. These systems are computer programs intended to solve real-world problems, achieving the same level of accuracy as human experts. Knowledge engineering is the discipline that has evolved to support the whole process of specifying, developing and deploying knowledge-based systems (Schreiber et al., 2000) This chapter will discuss the problem of knowledge elicitation for knowledge intensive systems in general

Discourse through making: eliciting knowledge to support craft skills learning

In this paper I describe the development of techniques for eliciting craft knowledge for use in an interactive learning resource, illustrated with examples from two practical research projects. In each I explored the skills of both expert and novice craft practitioners, firstly in the field of traditional bowl turning and secondly in the field of traditional clog making. The result of this work was to highlight the personal, context-specific and highly tacit nature of such craft knowledge which is explained through a review of the writings of Michael Polanyi and Donald Schön. I conclude by redefining the concept of knowledge elicitation and transmission in this context. I describe the role of the designer-researcher as helping the expert to articulate their tacit knowledge through stimulating reciprocal reflection between the expert and a novice, and designing interpretation to help bridge the knowledge gap between the two.</p

Rationale Management Challenges in Requirements Engineering

Rationale and rationale management have been playing an increasingly prominent role in software system development mainly due to the knowledge demand during system evaluation, maintenance, and evolution, especially for large and complex systems. The rationale management for requirements engineering, as a commencing and critical phase in software development life cycle, is still under-exploited. In this paper, we first survey briefly the state-of-the-art on rationale employment and applications in requirements engineering. Secondly, we identify the challenges in integrating rationale management in requirements engineering activities in order to promote further investigations and define a research agenda on rationale management in requirements engineering.