应用计分法衡量基于知识的系统对关键员工的价值

Jeffrey Clark, F. Soliman
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引用次数: 9

摘要

本文提出了一种方法,旨在衡量知识基础系统(KBSs)对参与其开发、实施和使用的员工的价值。该方法是基于计分法的估值。使用这种方法的主要优点源于这样一个事实,即许多KBSs具有许多无形的收益和成本。传统的成本收益模型无法解释无形收益对发展中的KBS项目价值的贡献。本文提出的方法克服了这一困难,通过使用参与KBS项目的管理人员、用户和专家,从有形和无形的来源衡量其感知价值。它产生了价值的总体衡量标准,分为三个关键类别——时间、财务和质量。时间和金钱是有形的,而质量是无形的。这些类别对所有组织级别的决策者都有意义,对于做出明智的投资决策至关重要。本文将该方法应用于一家大型制造和销售组织的两个KBS项目。对该方法的实际应用提出了建议。
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Application of a scoring method for measuring the value of knowledge‐based systems to key employees
This paper presents a method designed to measure the value of Knowledge Based Systems (KBSs) to the employees involved in their development, implementation and use at an organisation. The method is based upon the scoring approach to valuation. The major advantage of using this approach stems from the fact that many KBSs are typified by numerous intangible benefits and costs. Traditional cost benefit models are unable to account for the contribution of intangible benefits to the value of an evolving KBS project. The method presented here overcomes this difficulty by using managers, users, and experts involved in a KBS project to measure its perceived value from both tangible and intangible sources. It produces an overall measure of value which is separated into three critical categories ‐ time, finances, and quality. Time and finances are tangible, while quality is intangible. These categories are meaningful to decision makers at all organisational levels and are critical in making an informed investment decision. The paper applies the method to two KBS projects from a large manufacturing and sales organisation. Suggestions are made for practical uses to which the method can be applied.
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来源期刊
Journal of Systems and Information Technology
Journal of Systems and Information Technology Computer Science-Computer Science (all)
CiteScore
4.40
自引率
0.00%
发文量
18
期刊介绍: The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.
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