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- Ayele, Workneh Yilma, 1978-
(author)
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A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation
- 2022
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Doctoral thesis (other academic/artistic)abstract
- Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups.The significance and abundance of data are also increasing due to the growing digital data generated from social media, sensors, scholarly literature, patents, different forms of documents published online, databases, product manuals, etc. Various data sources can be used to generate ideas, yet, in addition to bias, the size of the available digital data is a major challenge when it comes to manual analysis.Hence, human-machine interaction is essential for generating valuable ideas where machine learning and data-driven techniques generate patterns from data and serve human sense-making. However, the use of machine learning and data-driven approaches to generate ideas is a relatively new area. Moreover, it is also possible to stimulate innovation using contest-driven idea generation and evaluation. However, the measurement of contest-driven idea generation processes needs to be supported to manage the process better. In addition, post-contest challenges hinder the development of viable ideas. A mixed-method research methodology is applied to address these challenges.The results and contributions of this thesis can be viewed as a toolbox of idea-generation techniques, including a list of data-driven and machine learning techniques with corresponding data sources and models to support idea generation. In addition, the results include two models, one method and one framework, to better support data-driven and contest-driven idea generation. The beneficiaries of these artefacts are practitioners in data and knowledge engineering, data mining project managers, and innovation agents. Innovation agents include incubators, contest organizers, consultants, innovation accelerators, and industries.Future projects could develop a technical platform to explore and exploit unstructured data using machine learning, visual analytics, network analysis, and bibliometric for supporting idea generation and evaluation activities. It is possible to adapt and integrate methods included in the proposed toolbox in developer platforms to serve as part of an embedded idea management system. Future research could also adapt the framework to barriers that constrain the development required to elicit post-contest digital service. In addition, since the proposed artefacts consist of process models augmented with AI techniques, human-centred AI is a promising area of research that can contribute to the artefacts' further development and promote creativity.
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| 2. |
- Crusoe, Jonathan, 1991-
(author)
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Open Government Data as a Reform and Ecosystem : A conceptual framework for evolution and health
- 2021
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Doctoral thesis (other academic/artistic)abstract
- Introduction: This doctoral thesis in Information Systems disentangles the interplay of an OGD reform and an OGD ecosystem. Open government data (OGD) refers to data shared by public organizations, in the role of providers, following certain principles for anyone to reuse. An OGD reform transforms parts of society so that an OGD ecosystem can coalesce and realize benefits (e.g., economic growth or transparency). An OGD ecosystem consists of providers sharing data, enrichers developing products or services on this data, and seekers using the data, products, or services to satisfy their needs.Problem and Purpose: Previous OGD research tends to encompass an OGD reform into an OGD ecosystem, which can restrict the possibilities to understand the evolution and health of an OGD ecosystem. Because, an OGD reform is a temporary transformation, while an OGD ecosystem includes sustained processes for a purpose. It obfuscates the possible interplay between an OGD reform and an OGD ecosystem, which could affect the health of the ecosystem. Health is an OGD ecosystem’s ability to achieve its higher purpose while benefiting its actors without harming others. Reform and evolution are related since both refer to the change of actors. The purpose of my doctoral thesis is to disentangle the interplay between an OGD reform and an OGD ecosystem to understand how it can affect the health of an OGD ecosystem.Research Design: I set out to explore the Swedish OGD ecosystem from 2016 to 2019. The research expanded to international explorations between 2019 and 2021. My research is qualitative and encompasses an introductory part and five articles. The papers include (1) a comparison between two providers, (2) an enricher framework, (3) diagnosis of the Swedish OGD ecosystem, (4) lessons drawn from public utilities, and (5) how providers and enrichers can consider seekers in their work. I then revisited my empirical material to perform additional analysis to synthesize a conceptual framework called reform-ecosystem (RE-ECO) framework.Findings: The RE-ECO framework depicts the interplay between an OGD reform and an OGD ecosystem and how it could affect the ecosystem's health. An OGD reform is conceptualized as a checkerboard and an OGD ecosystem as an ocean ecosystem. OGD actors transform a reciprocal structure to coalesce an OGD ecosystem through persuasion, collaboration, transformation, and evaluation. The OGD ecosystem consists of strands of data-information cycles and identification nodes, which work to realize certain benefits. The OGD actors can transform local conditions, step between ecosystems, and mutation-load to affect the health of an OGD ecosystem.Contribution: The theoretical contribution of this doctoral thesis is the RE-ECO framework. The thesis also concludes that an OGD ecosystem is an ancillary, symbiotic ecosystem; mutation-loading can control and fuel the change of actors; OGD actors can step between their OGD reform, their OGD ecosystem, and other ecosystems; the landscape metaphor reveals how an OGD reform can constrain the health of an OGD ecosystem; and actors can experience tensions between an OGD reform and an OGD ecosystem. OGD researchers are suggested to further study the interplay between an OGD reform and an OGD ecosystem. OGD practitioners should follow ``high-value, high-impact'' and ``publish with purpose'' principles rather than ``open by default'' or ``raw data now'' principles.
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