Theory-oriented evaluation for the design of and research in gaming and simulation

Kriz, Willy Christian; Hense, Jan

doi:10.1177/1046878106287950

Cited by 101 publications

(68 citation statements)

References 19 publications

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“…As Klabbers (2006) stated, the goal of a gaming simulation (DIS) should serve the meta-goal of DIL processes. Kriz and Hense (2006) sought to combine these two design processes by linking common applications of gaming simulation to Greif and Kurtz' (1996) model of organizational development. This model identifies four types of gaming simulation (or simulation games, SG), which are often sequentially applied to support organizational development:…”

Section: Gaming Simulation For Researchmentioning

confidence: 99%

Debriefing Research Games

Hoogen

Meijer

2016

Simulation & Gaming

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Section: Gaming Simulation For Researchmentioning

confidence: 99%

Debriefing Research Games

Hoogen

Meijer

2016

Simulation & Gaming

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“…Important concepts should not be derived from a constellation of variables but be measured directly. Kriz and Hense (2006) come to the same conclusion for improvement of gaming simulations for learning and propagate 'theory-based evalution'-methods.…”

Section: Methodsmentioning

confidence: 81%

The organization of transactions: research with the Trust and Tracing game

Meijer

Hofstede

Omta

et al. 2008

Journ. Chain and Network Sc.

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This paper presents empirical results of research on the influence of social aspects on the organization of transactions in the domain of chains and networks. The research method used was a gaming simulation called the Trust and Tracing game in which participants trade commodity goods with a hidden quality attribute. Previous sessions of this gaming simulation identified a list of variables for further investigation (Meijer et al, 2006). The use of gaming simulation as data gathering tool for quantitative research in supply chains and networks is a proof-of-principle. This paper shows results from 27 newly conducted sessions and previously unused data from 3 older sessions. Tests confirmed the use of network and market modes of organization. Pre-existing social relations influenced the course of the action in the sessions. Being socially embedded was not beneficial for the score on the performance indicators money and points. The hypothesized reduction in measurable transaction costs when there was high trust between the participants could not be found. Further analysis revealed that participants are able to suspect cheats in a session based on other factors than tracing. Testing hypotheses with data gathered in a gaming simulation proved feasible. Experiences with the methodology used are discussed.Keywords: gaming simulation, social relations, trust, transactions, supply networks 1. Introduction Chain and network sciences is a stream of research that focuses on an application domain rather than on an aspect domain. Aspects to be investigated range from pure technology to social relationships. A typical consumer good has been traded in a series of transactions before it reaches the consumer. The sequential businesses involved in the supply of the good can be viewed as one supply network. Focusing on the actual route of a particular product through the network identifies the supply chain of this good. Typically, the aspects are not investigated independently but in an interdisciplinary approach. Interdisciplinary research requires research methods suited for studying multiple aspects simultaneously. Meijer et al (2006) presented a gaming simulation that made participants learn about transactions and embeddedness in a trade network. In the discussion the authors identified a need to collect more data to answer specific questions about what drives the course of the game sessions. They listed a series of variables that could be of value for research in the simulated supply network. The current paper is the result of continued research into the variables identified using the Trust and Tracing game (T&T game) by playing 27 additional sessions and using quantitative data analysis.The next section describes the methodological contribution. The current paper is showing a proof-of-principle of using a gaming simulation for quantitative research in the chain and network domain. Section 3 introduces the theoretical framework and hypotheses, based on New Institutional Economics. Materials and methods are in Section ...

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“…Rather than assessing effects of tightly-controlled variables on outcomes, however, this study takes a theory-oriented evaluation approach [8] to build logical connections between controlled input variables, process variables observed during a design session, and outcome variables at the end of a design session. This approach addresses a deeper question of why certain features affect design effectiveness.…”

Section: Research Questionsmentioning

confidence: 99%

Collaborative Design In The Sustainable Infrastructure Planning Game

Grogan

Weck

2016

49th Annual Simulation Symposium (ANSS 2016)

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The pursuit of sustainable large-scale infrastructure systems demands new design tools to exchange information among distributed decision-makers. This paper describes and demonstrates interoperable simulation gaming as a collaborative infrastructure design activity. The Sustainable Infrastructure Planning Game (SIPG) is a prototype implementation using the High Level Architecture (HLA) to exchange technical data between sector-specific simulation models. SIPG considers a 30-year strategic planning exercise for a fictional desert nation with three role-players controlling water, energy, and agriculture sectors. A human subjects experiment with 15 ad-hoc teams shows integrated, synchronous tools facilitate data exchange which, subsequently, is correlated with effective design for common objectives.

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Theory-oriented evaluation for the design of and research in gaming and simulation

Cited by 101 publications

References 19 publications

Debriefing Research Games

Debriefing Research Games

The organization of transactions: research with the Trust and Tracing game

Collaborative Design In The Sustainable Infrastructure Planning Game

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