Gamification of query-driven knowledge sharing systems

Christine Van Toorn, Samuel Nathan Kirshner and James Gabb

Behaviour and Information Technology, 2022, vol. 41, issue 5, 959-980

Abstract: For organisations utilising big data platforms, knowledge sharing helps spread contextualised information of data, increases efficiencies and reduces the cost of lost knowledge when employees leave. Query-Driven Knowledge Sharing Systems (QKSS) partially automate knowledge sharing in analytics teams by building context into data, enabling the reuse of complex queries. Although QKSS can improve knowledge sharing, encouraging reuse behaviour is a significant issue for adoption. This paper analyses the applicability of gamification for improving knowledge reuse in QKSS. In collaboration with a Sydney-based data analytics firm, we recruited professional data analysts to participate in an experiment. The recruited analysts were asked to complete Structured Query Language tasks using either the firm's QKSS platform or a gamified version which included a small number of gamified elements designed to increase the likelihood of query reuse. The results demonstrate the positive impact of gamification on query reuse and the efficiency of tasks.

Date: 2022
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DOI: 10.1080/0144929X.2020.1849401

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