Knowledge management visualisation in regional innovation system collaborative decision-making

Abstract

PurposeThis study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).Design/methodology/approachUsing a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).FindingsThe study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.Practical implicationsThe panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.Originality/valueThe combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.

Improving decision making through visual knowledge calibration

“…Visual representations are in fact “more effective than verbal explanations in representing sequential and hierarchical relations” (Guri-Rozenblit, 1988, p. 219) and show the major components of complex causal patterns and the interaction of these components (Mayer and Gallini, 1990). As knowledge visualizations provide feedback loops (Eppler, 2011; Weck et al. , 2022), help to switch perspectives (Yan et al.…”

“…, 2022), helps to understand ideas (Gavrilova et al. , 2017), and provides ad hoc feedback loops (Eppler, 2011; Weck et al. , 2022).…”

Data-Driven Coupling Coordination Development of Regional Innovation EROB Composite System: An Integrated Model Perspective

“…T is the comprehensive development coefficient of the four subsystems, and a, b, c, d are the regulation coefficients. Some scholars [34][35][36] pointed out that the innovation environment, innovation resource, innovation output, and innovation benefit are equally important to the development of RISs, so we let a = b = c = d = 0.25. D is the coupling coordination scheduling, which indicates the coupling coordination development degree of the four subsystems, and the value is within the interval [0, 1].…”

“…Lewandowska and Švihlíková [35] constructed an RIS from five dimensions: population with tertiary education, R&D expenditure in the public sector, R&D expenditure in the business sector, EPO pattern applications, and employment in knowledge-intensive activities. Weck et al [36] built an RIS framework based on knowledge collaboration, knowledge sharing, and knowledge management.…”

Application of 3D Visualisation Video Technology for the Modern Business Management

“…e development of computer network technology and changes in the way information is transmitted have had a huge impact on the production, operation, and management models of modern enterprises [1,2]. With the increasing competition in the market, the old mode of company operation (cost + pro t price) has been gradually replaced by a new mode of company operation (market-driven price − controllable costs for the producer pro t) [3]. is means that it is now di cult for companies to control the market price to achieve the desired pro t. is challenging change has led companies to reduce costs, eliminate waste, and maximise pro ts by improving management [4].…”