Journal ArticleDOI
Digital innovation and entrepreneurship transformation through open data hackathons: Design strategies for successful start-up settings
Fotis Kitsios,Maria Kamariotou +1 more
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In this article , the authors examine goals and design strategies that contribute to the successful execution of open data hackathons and innovation competitions and find that the most critical design strategy was the involvement of mentors in the event and the level of support provided to nascent entrepreneurs to accelerate their creativity, develop applications and launch their prototypes on the market.About:
This article is published in International Journal of Information Management.The article was published on 2022-01-01. It has received 22 citations till now. The article focuses on the topics: Computer science & Open innovation.read more
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The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness
TL;DR: In this article , the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation was investigated, and a structural equation model was developed to examine contributing factors explaining the adoption intentions of AI in the context of family businesses.
Journal ArticleDOI
Bringing Digital Innovation Strategies and Entrepreneurship: The Business Model Canvas in Open Data Ecosystem and Startups
Maria Kamariotou,Fotis Kitsios +1 more
TL;DR: In this article , the authors examine and analyze how actors in an open data ecosystem collaborate, as well as their activities, to generate value, and a mind map is developed to show how the findings are connected in an attractive and easy-to-follow manner.
Journal ArticleDOI
Hackathons for Driving Service Innovation Strategies: The Evolution of a Digital Platform-Based Ecosystem
Maria Kamariotou,Fotis Kitsios +1 more
TL;DR: A case study which develops a framework for hosting and evaluating open data hackathons and offers hackathon organizers with regulations and resources to help them plan innovation contests that contribute to the betterment of an open data ecosystem.
Journal ArticleDOI
Future directions for scholarship on data governance, digital innovation, and grand challenges
TL;DR: In this paper , the authors highlight the importance of data governance when seeking to address grand challenges through the innovative use of digital technologies and highlight possible future directions for scholarship on data governance across multiple levels to enhance digital innovations.
Book ChapterDOI
Open data hackathon as a tool for increased engagement of Generation Z: to hack or not to hack?
TL;DR: The role of open data hackathons and the benefits that they can bring to both the society, participants, and government is discussed in this paper , where the authors present the latest findings on the role of Open Data Hackathons.
References
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TL;DR: In this paper, the authors describe the process of inducting theory using case studies from specifying the research questions to reaching closure, which is a process similar to hypothesis-testing research.
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Theory Building From Cases: Opportunities And Challenges
TL;DR: The research strategy of theory building from cases, particularly multiple cases, involves using one or more cases to create theoretical constructs, propositions, and/or midrange theory from case-based, empirical evidence.
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The Business Model: Recent Developments and Future Research
TL;DR: This article provided a broad and multifaceted review of the received literature on business models in which the authors examined the business model concept through multiple subject-matter lenses and found that scholars do not agree on what a business model is and that the literature is developing largely in silos according to the phenomena of interest of the respective researchers.
Posted Content
Building Theories from Case Study Research
TL;DR: In this paper, the authors describe the process of building theories from case studies and examine the strengths and weaknesses of this process, which is best used in situations where one does not want to rely on previous literature or prior empirical evidence.
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Doing interpretive research
TL;DR: The nature of interpretive IS case studies and methods for doing such research are addressed, with a widened scope of all interpretive research in IS, and through further material on carrying out fieldwork, using theory and analysing data.