Open Digital Innovation Contest

Hjalmarsson, Anders; Juell-Skielse, Gustaf; Johannesson, Paul

doi:10.1007/978-3-319-56339-8_3

Cited by 4 publications

(17 citation statements)

References 3 publications

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“…Nevertheless, the online formula could represent a barrier in terms of interactions and knowledge sharing as the lack of offline human relations could make team members losing interest for the development of their projects (Hjalmarsson et al , 2017). As one of the mentors (i4) said:There is a difference from the point of view of interaction because clearly when you are offline it is easier to immediately empathize with who you have to mentor, while on the online it is harder.…”

Section: Resultsmentioning

confidence: 99%

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Boosting innovative business ideas through hackathons. The “Hack for Travel” case study

Franco

Presenza

Petruzzelli

2021

EJIM

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PurposeTechnological platforms encourage the exchange of knowledge and creation of new ideas that create new value for participating members who pool and combine their knowledge, facilities, tools and skills, thus contributing to the development of innovative solutions. This paper focuses on hackathon platforms, working as open innovation intermediaries, investigating their role and functions and exploring how they encourage the collaboration and the innovativeness among participants in order to boost their innovative new ideas.Design/methodology/approachThe research method is a qualitative design that includes in-depth interviews of ten stakeholders that play different roles in “Hack for Travel,” the case under analysis. It is a hackathon organized entirely online, as a response to the crisis generated by coronavirus disease 2019 (COVID-19).FindingsFindings revealed six processes developed by the hackathon platform used to effectively organize the event and facilitate participants to cooperate and share knowledge in order to boost the spread of innovative ideas. Results identify how hackathons should be organized and through which processes they work as innovation platforms.Originality/valueThis is one of the first attempts to study the increasing phenomenon of hackathons, providing theoretical contribution and practical implications about their role in developing innovation.

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Section: Resultsmentioning

confidence: 99%

Section: Innovative Ideas Through Hackathonsmentioning

confidence: 99%

Boosting innovative business ideas through hackathons. The “Hack for Travel” case study

Franco

Presenza

Petruzzelli

2021

EJIM

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“…The second stream has aimed to identify the barriers to the commercialization of OGD innovations. These studies have investigated the perceptions of software developers participating in OGD contests (Hjalmarsson et al, 2014(Hjalmarsson et al, , 2015Wang, 2020), mobile app developers (Wang, 2020), users of an online OGD marketplace (Smith and Sandberg, 2018), and IT entrepreneurs utilizing OGD to build their applications (Maccani et al, 2017;Susha et al, 2015).…”

Section: Open Government Data (Ogd) Innovation and Innovator Perceptionsmentioning

confidence: 99%

“…For instance, Washington (2020) noted that a major proportion of posts by OGD data consumers on an online forum expressed uncertainty and risk about accessing and utilizing OGD. Hjalmarsson et al (2015) reported that participants of the OGD contests under study abandoned their new service ideas mainly because of the uncertain business value of OGD-based services. Along similar lines, Smith and Sandberg (2018) noted that commercial innovators they interviewed perceived uncertainty about the long-term provision of required data by government agencies when they developed OGD-based services.…”

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confidence: 99%

Understanding the determinants of the intention to innovate with open government data among potential commercial innovators: a risk perspective

Zhou

Ha²,

Kankanhalli³

et al. 2022

INTR

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PurposeThis study aims to examine factors influencing potential commercial innovators' intention to innovate with open government data (OGD) via a risk perspective.Design/methodology/approachThe authors develop a theoretical model that explains how different forms of uncertainty (i.e. financial, technology, competitive, demand, and data) and their inter-relationships influence potential commercial innovators' intention to innovate with OGD. The model is tested using survey data collected from 144 potential commercial innovators from a developed Asian country.FindingsThe results suggest that all other forms of uncertainty, except competitive uncertainty, negatively influence potential commercial innovators' intention to innovate, mediated by their perceived risk of innovating with OGD. The results also show positive relationships between different forms of uncertainty, i.e. competitive and financial, demand and competitive, data and financial uncertainty.Originality/valueThis paper identifies major forms of innovation uncertainty, perceived risk, their inter-relationships, and impacts on the intention to innovate with OGD. It also finds support for a unique form of uncertainty for OGD innovation (i.e. data uncertainty).

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“…Second, with the further reduction of the threshold for the application of ICT, the construction of the platform is increasingly dependent on the digital content, which is known as the user-generated content, produced by the individual users of the terminal (Ahn et al, 2015;Scuotto et al, 2017). The emergence of the platform economy has made individual users as critical participants in the data-driven innovation process (Koskinen, 2003;Hjalmarsson, 2017). On the one hand, individual users provide large-scale data resources for the innovation of the platform as "raw materials" of the knowledge production, including the user's personal behaviour, preferences and privacy data (Daly, 2017).…”

Section: Related Research Of Platform Economymentioning

confidence: 99%

Data access as a big competitive advantage: evidence from China's car-hailing platforms

Lei

Zhao

et al. 2020

DTA

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PurposeThe online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test of the competition structure of the data-driven online platform is still less. This research is trying to reveal market allocation structure of the personal data resource of China's car-hailing platforms competition by the empirical data analysis.Design/methodology/approachThis research is applying the social network analysis by R packages, which include k-core decomposition and multilevel community detection from the data connectedness via the decompilation and the examination of the application programming interface of terminal applications.FindingsThis research has found that the car-hailing platforms, which establish more constant personal data connectedness and connectivity with social media platforms, are taking the competitive market advantage within the sample network. Data access discrimination is a complementary method of market power in China's car-hailing industry.Research limitations/implicationsThis research offers a new perspective on the analysis of the multi-sided market from the personal data resource allocation mechanism of the car-hailing platform. However, the measurement of the data connectedness requires more empirical industry data.Practical implicationsThis research reveals the competition structure that relies on personal data resource allocation mechanism. It offers empirical evidence for governance, which is considered as the critical issue of big data research, by reviewing the nature of the data network.Social implicationsIt also reveals the data convergence process of the social system and the technological system.Originality/valueThis research offers a new research method for the real-time regulation of the car-hailing platform.

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Open Digital Innovation Contest

Cited by 4 publications

References 3 publications

Boosting innovative business ideas through hackathons. The “Hack for Travel” case study

Boosting innovative business ideas through hackathons. The “Hack for Travel” case study

Understanding the determinants of the intention to innovate with open government data among potential commercial innovators: a risk perspective

Data access as a big competitive advantage: evidence from China's car-hailing platforms

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