{"title":"Application of a scoring method for measuring the value of knowledge‐based systems to key employees","authors":"Jeffrey Clark, F. Soliman","doi":"10.1108/13287269780000736","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":38615,"journal":{"name":"Journal of Systems and Information Technology","volume":"1 1","pages":"22-40"},"PeriodicalIF":0.0000,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/13287269780000736","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/13287269780000736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 9
Abstract
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.
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.