Understanding knowledge hiding behaviors in the workplace using a serious game data collection approach
Kaiyu Yang,
Vincent Ribiere () and
Anne Bartel-Radic ()
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Anne Bartel-Radic: UGA - Université Grenoble Alpes, IEPG - Sciences Po Grenoble-UGA - Institut d'études politiques de Grenoble - UGA - Université Grenoble Alpes
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Abstract:
Knowledge hiding, knowledge hoarding, and knowledge withholding have drawn increasing research attention in recent decades. Most researchers approached this topic by collecting quantitative data using questionnaires with self-reported scales. However, the underreporting nature of self-report measurement, particularly when studying sensitive and socially undesirable behavior, has been identified as a prominent limitation in extant research, which shows the urgent need for less biased and more innovative research methods. Scenarios incorporating critical incidents that represent a simulation of actual working conditions appear to be a relevant technique to address the above-mentioned shortcoming. Hence, an experimental design, adopting meticulously crafted scenarios, is worth investigating. This paper presents the value of using serious games/simulations to collect data related to knowledge hiding behaviors as well as the design stages of a knowledge hiding serious game
Keywords: Knowledge hiding; research method; serious game (search for similar items in EconPapers)
Date: 2022-12-18
New Economics Papers: this item is included in nep-knm
Note: View the original document on HAL open archive server: https://hal.science/hal-03944952v1
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Published in Online Journal of Applied Knowledge Management, 2022, 10 (3), pp.27-45. ⟨10.36965/OJAKM.2022.10(3)27-45⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03944952
DOI: 10.36965/OJAKM.2022.10(3)27-45
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