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Analyzing a Knowledge Management System and its Issues Regarding the Motivation to Participate Through Workflow Maps
KTH, School of Electrical Engineering and Computer Science (EECS).
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Knowledge is the heart of how organizations function. It holds the records of previous experiences, failures, and successes. With this knowledge, organizations can predict decisions that will lead to a higher success rate for their business. To keep this knowledge protected and easy to reach, knowledge management systems were created to manage it. However, a badly managed one could detriment the efficiency of such a system. This thesis is collaborating with Avalanche Studios Groups and it presents an approach on how to map the system in order to discover flaws. This approach uses heuristic evaluation to gather information on how knowledge flows in and out of the system. The quantitative result shows the state of the knowledge management system based on three criterias: accessibility, relevance and information quality. The qualitative result shows two categorizations on the platform and the users, and two workflow maps of knowledge sharing and knowledge searching. The workflow maps combined with the categorizations show where and when a problem arise and who it concerns. With the insight of the state of the KMS, thisanalysis can narrow down the options for the next step on how to improve the system.

Abstract [sv]

Kunskap är kärnan av hur en organisation funktionerar. Den kan innehålla tidigare erfarenheter, misslyckande och succé. Organisationer kan förutse val som kan leda till en större chans till succé genom dessa kunskaper. Kunskapshanteringssystem skapades för att hålla dem skyddade och lättillgängliga inom organisationer. Fastän dessa system är skapade för att hantera kunskap så kan en dålig hanterad system leda till ett sämre effektivitet gällande kunskapsdelning. Detta examensarbete samarbetar med Avalanche Studios Groups och det presenterar ett sätt att mappa ut ett kunskapshanteringssystem så att brister kan upptäckas. Information om kunskapsdelning och kunskapssökandet samlas genom en heuristisk utvärdering. Den kvantitativa resultatet visar hur situationen ser ut för ett kunskapshanteringssystem baserad på tre kriterier: Tillgång, relevans, och informationskvalitet. Det kvalitativa resultatet visar två kategorisering på platformer och användarna inom systemet, och två arbetsflödes-mappar på kunskapsdelning och kunskapssökning. Tillsammans med mappningarna och kategoriseringar kan vi se var och när ett problem uppstår. Med ett insyn på KMSens skick kan denna analys eliminera förslag på förbättringar i systemet som inte kommer bidra mycket.

Place, publisher, year, edition, pages
2023. , p. 35
Series
TRITA-EECS-EX ; 2023:58
Keywords [en]
Information system, Knowledge management system, mapping, pre-visualization, workflow, decision support
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-326111OAI: oai:DiVA.org:kth-326111DiVA, id: diva2:1752820
External cooperation
Avalanche Studios Groups
Supervisors
Examiners
Available from: 2023-06-26 Created: 2023-04-24 Last updated: 2023-06-26Bibliographically approved

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CiteExportLink to record
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