Knowledge visualisation and strategic decision-making outcomes in small and medium-sized enterprises

IF 1.7 4区管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Information Science Pub Date : 2023-03-30 DOI:10.1177/01655515231160117

R. Abdelkareem, M. Augustyn

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引用次数: 0

Abstract

This article examines the direct and indirect (through strategic decision-making processes) impacts of knowledge visualisation on strategic decision quality and strategic decision commitment in small- and medium-sized enterprises (SMEs). Structural equation modelling (SEM) methodology was used to test the research model based on data collected from 209 senior managers of manufacturing SMEs that operate in food production in Egypt. The results suggest that knowledge visualisation has a significant positive effect on strategic decision-making processes, strategic decision quality and strategic decision commitment. In addition, strategic decision quality is dependent on strategic decision-making processes, but decision-making processes do not significantly impact strategic decision commitment. Knowledge visualisation through strategic decision-making processes could help organisations in making high-quality decisions. The research adds to the theories of knowledge-based view (KBV) and rational decision-making by demonstrating that knowledge visualisation could be a catalyst for effective strategic decision-making.

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中小企业的知识可视化和战略决策结果

本文考察了知识可视化对中小企业战略决策质量和战略决策承诺的直接和间接(通过战略决策过程)影响。本文采用结构方程建模(SEM)方法对研究模型进行了检验，数据来自埃及从事食品生产的209家制造业中小企业的高级管理人员。结果表明，知识可视化对战略决策过程、战略决策质量和战略决策承诺具有显著的正向影响。此外，战略决策质量依赖于战略决策过程，但决策过程对战略决策承诺的影响不显著。通过战略决策过程的知识可视化可以帮助组织做出高质量的决策。该研究通过证明知识可视化可以成为有效战略决策的催化剂，增加了基于知识的观点(KBV)和理性决策理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Information Science 工程技术-计算机：信息系统

CiteScore

6.80

自引率

8.30%

发文量

121

审稿时长

4 months

期刊介绍： The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.