An ontology-based knowledge management system to support technology intelligence

Abstract

High technology enterprises must now continually reduce costs and develop better products and services in order to sustain a competitive advantage in an endlessly changing business environment. High research and development (R&D) costs force high technology enterprises to select more carefully which technologies to invest in. Advanced technology planning tools enable enterprises to make better strategic decisions. Knowledge of the technological changes relevant to an enterprise represents a critical issue in enhancing the performance of that enterprise and sustaining its competitive edge. The creation of an ontology is usually the first step towards a knowledge management system. In this paper, we describe the framework of an ontology-based knowledge management system including design and application at a real case. The proposed system was developed in the Protégé environment, a generic system that is applicable to a variety of domain applications.

Developing a model for integrating decisions in technology roadmapping by fuzzy PROMETHEE

“…In existing papers, the decisions are made at each layer Product/Service Technology Need-based segmentation [1,5]. Voice of the customer tools, Decision matrices for ranking segments and opportunities [54], 5-force Porter, SWOT, PEST analysis, Value Proposition [18,46] Experience curves, portfolio management tools [3], Perceptual Map, Competitive Feature Matrix [18] Innovation (growth) Matrix [27], Technology Readiness Level [46] QFD as a tool for linking grids are across from market to technology layers [7,27,46] separately. Then the decisions are linked across the layers.…”

“…Technological opportunities and threats must be identified to strategic planning and decision making in this layer with technology intelligence activity especially for advanced industry and high tech enterprise [30]. Escalating research and development (R&D) costs force high technology enterprises to select more carefully which technologies to invest in [7]. Key technologies must be determined in terms of current and potential.…”

Combining methods in the technology intelligence process: application in an aerospace manufacturing firm

“…This methodology provides software-supported steps for the collection of technology-related data through to the evaluation, ranking and selection of R&D projects . As a key part of the STAR system, a proactive TI methodology has been developed to provide continuous inputs relating to events of interest to technology companies, in particular, potentially disruptive changes (Arman et al, 2006(Arman et al, , 2010Hodgson et al, 2008). Figure 2 provides an outline of the main inputs, processes and outputs of the TI methodology.…”

InSciTe Adaptive: R&D Decision Support System for Strategic Foresight

“…Especially, to make competitive technology strategy, each organization should perform technology planning through active technology intelligence [1,2]. Technology intelligence refers to activities for supporting an organization's decision-making process by collecting and forwarding information on new technologies [3].…”