An instance-based-learning simulation model to predict knowledge assets evolution involved in potential digital transformation projects

IF 3.2 4区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Knowledge Management Research & Practice Pub Date : 2022-05-01 DOI:10.1080/14778238.2022.2064348

German-Lenin Dugarte-Peña, María-Isabel Sánchez-Segura, Fuensanta Medina-Domínguez, Antonio de Amescua, Cleotilde González

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引用次数: 1

Abstract

ABSTRACT Software engineering professionals must consider the appropriate technological solutions to meet their client’s needs and the organisational impact. The decision to implement a solution is not explicitly based on how it empowers the knowledge assets. Organisational knowledge assets are the foundation of the knowledge economy and a key element in evaluating the health of an organisation. This paper provides software engineers with a simulation model which illustrates the decision-making process for the implementation of technological solutions based on an evaluation of their client’s knowledge assets and how such assets impact and are impacted by the deployment of a solution. We use an agent-based approach and implement an instance-based learning model (a cognitive approach) to represent scenarios for experience-based decisions. 11 case studies were used to train the prediction engine and validate the usefulness of the model in generating scenarios and nurturing decision-making and user experiences.

查看原文本刊更多论文

一个基于实例的学习模拟模型，用于预测潜在数字化转型项目中的知识资产演变

软件工程专业人员必须考虑适当的技术解决方案，以满足其客户的需求和组织的影响。实现解决方案的决策并不明确地基于它如何授权知识资产。组织知识资产是知识经济的基础，是评价组织健康的关键要素。本文为软件工程师提供了一个仿真模型，该模型说明了基于客户知识资产评估的技术解决方案实施的决策过程，以及这些资产如何影响和被解决方案的部署所影响。我们使用基于代理的方法并实现基于实例的学习模型(一种认知方法)来表示基于经验的决策的场景。使用了11个案例研究来训练预测引擎，并验证模型在生成场景和培养决策和用户体验方面的有用性。

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来源期刊

Knowledge Management Research & Practice Multiple-

CiteScore

7.00

自引率

15.60%

发文量

期刊介绍： Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.