Knowledge management visualisation in regional innovation system collaborative decision-making

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.

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The impact of collaborative decision-making on logistics service performance for container shipping services

Maritime Business Review ◽

10.1108/mabr-12-2019-0061 ◽

2020 ◽

Vol 5 (2) ◽

pp. 175-191

Author(s):

Po-Lin Lai ◽

Dong-Taur Su ◽

Hui-Huang Tai ◽

Ching-Chiao Yang

Keyword(s):

Decision Making ◽

Supply Chain ◽

Information Integration ◽

Service Performance ◽

External Information ◽

Container Shipping ◽

Collaborative Decision Making ◽

Content Type ◽

Logistics Service ◽

Collaborative Decision

Purpose The increasing demand for high-quality logistics services has forced container shipping firms to decrease logistics service failure to retain the customers. This study thus aims to apply organizational information processing theory (OIPT) to construct a maritime supply chain collaborative decision-making model and examine its impact on logistics service performance. Design/methodology/approach In total, 142 usable questionnaires were collected from questionnaire survey. A two-step structural equation modeling approach including confirmatory factor analysis was subsequently performed to test the hypotheses. Findings The results show that internal information integration positively impacts external information integration, that external information integration positively impacts collaborative decision-making, and that collaborative decision-making positively impacts logistics service performance for container shipping firms. However, a relationship between internal information integration and collaborative decision-making was not found in this study. Research limitations/implications This study primarily examines collaborative decision-making from the view of container shipping firms. Future research including other supply chain members is needed to generalize the results and could also incorporate other factors such as relationship quality and culture, into the model to address this issue. Practical implications To decrease the occurrence of logistics failures and improve service quality in the maritime logistics process, it is suggested that container shipping firms apply information technology for acquiring and assimilating logistics information internally and externally across the supply chain to facilitate decision-making. Originality/value This study contributes to the knowledge about the antecedents and impacts of collaborative decision-making for container shipping firms in Taiwan. Particularly, in line with OITP, the findings indicate that container shipping firms can facilitate logistics decision-making and strategy formulation through information integration, which in turn enhances logistics service performance.

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Engaging Stakeholders for Collaborative Decision Making in Humanitarian Logistics Using System Dynamics

Journal of Homeland Security and Emergency Management ◽

10.1515/jhsem-2018-0061 ◽

2019 ◽

Vol 17 (1) ◽

Author(s):

Xuesong Guo ◽

Naim Kapucu

Keyword(s):

Decision Making ◽

System Dynamics ◽

Performance Improvement ◽

Humanitarian Logistics ◽

System Thinking ◽

System Dynamics Modeling ◽

Dynamics Modeling ◽

Collaborative Decision Making ◽

Collaborative Decision ◽

Sd Model

Abstract Participatory System Dynamics modeling is presented as a methodology to engage stakeholders in collaborative decision making in scenarios involving humanitarian logistics. Using the System Dynamics (SD) model, we simulated different scenarios, the results of which yielded factors that influence performance of humanitarian logistics. Once these were identified and discussed, different options on performance improvement were tested. This approach showed that the SD model can facilitate system thinking for stakeholders and form shared mental models critical to reaching consensus-based decisions in humanitarian logistics situations.

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Information seeking and collaborative decision-making behaviour in consultancy project teams: a network theoretic viewpoint

International Journal of Productivity and Performance Management ◽

10.1108/ijppm-08-2020-0438 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sulafa Badi ◽

Hanxiao Ji ◽

Edward G. Ochieng

Keyword(s):

Decision Making ◽

Social Network ◽

Network Theory ◽

Information Seeking ◽

Social Network Theory ◽

Project Delivery ◽

Collaborative Decision Making ◽

Content Type ◽

Team Members ◽

Collaborative Decision

PurposeThis study aims to examine how embeddedness influences consultants' information seeking when making decisions within a social network of relationships, and how these social networks evolve throughout the project delivery stages. The study is grounded in social network theory and examines embeddedness from three perspectives: structural (network cohesion), relational (tie strength in terms of friendship and knowledge awareness) and actor prominence.Design/methodology/approachA social network analysis (SNA) questionnaire was administered to a team of consultants working on a management consultancy project in Shanghai, China. The SNA measures of density, degree centrality and betweenness centrality were used to analyse relationship patterns among project team members, permitting comparison between the networks. Networks were also compared across the three project delivery stages of collect, consider and create.FindingsStructural embeddedness was observed in the active information seeking behaviour among consultancy team members. The moderate network density of the self-organising information seeking networks across the project delivery stages ensures that the team remains connected but avoids information redundancy and overload. Relational embeddedness was evident through the multiplexity of ties among team members with overlapping friendship and information seeking relationships. The knowledge awareness network's sparseness indicates a team of autonomous knowledge workers with distributed expertise. Project managers were the most prominent actors across the three project delivery stages, underlining these actors' relational leadership role.Practical implicationsThe study provides a deeper understanding of collaborative decision-making behaviours in dynamic-project environments. Limited attempts have been made to visualise and analyse the relationships involved in small consulting teams. The novelty of the network approach adopted stems from its ability to offer a structural view of the relationship among consultants, thus offering a distinctive and arguably more complete picture of consultancy team dynamics.Originality/valueThe study validates the social network theory of embeddedness in a real-world collaborative decision-making setting and provides a deeper understanding of information seeking behaviours for decision-making in dynamic-project environments. From a project management process viewpoint, the evolving nature of the information seeking network as it changes across the project stages with associated actors' roles was also visualised graphically, offering a distinctive and arguably more complete picture of consultancy team dynamics.

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