Hackathons are time-bounded crowdsourcing events, which have recently prospered in many technology and science domains across the globe. We study Europe's largest hackathon, Junction, to better understand the distinct crowdsourcing properties and mechanisms of this type of hackathon as a form of tournamentbased crowdsourcing. Moreover, we determined how they add value to attending companies and participants. In this regard, six qualitative and quantitative datasets from participants, companies, and the organizer were collected and analyzed. Our findings revealed five distinct crowdsourcing properties and mechanisms of mega hackathons, including intricate crowd selection, strong crowd vibe, instant crowd feedback, versatile crowd potential, and pervasive information technology. Based on our findings, we argue that these properties and mechanisms increase the possibility of finding innovative solutions to companies' problems in Junction-like mega hackathons. This article concludes with managerial implications for companies to consciously plan and prepare while knowing what to expect during the hackathon.

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In this paper we develop design principles for a serious game on data sharing in business ecosystems. Even though data has been said to be the new fuel of the economy, we have not seen much large-scale data trading in industrial settings. The purpose of the game is to experimentally study the dynamics of data trading in simulated business ecosystems, particularly under different kinds of governance structures: in centralized and decentralized ecosystems. The objective of the game is also to support the learning of MBA and university students. Through the game, the students can experience the risks and benefits of sharing data in ecosystems, an emerging and increasingly important topic in business life.