Maccani, Giovanni (2016) Exploring the factors that influence adoption of open government data for commercial service innovation in cities. PhD thesis, National University of Ireland Maynooth.

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Abstract

City councils produce large amounts of data. As this data becomes available, and as information and communication technology capabilities are in place to manage and exploit huge amount of data, open government data is seen as becoming more and more valuable in several contexts. Information Systems (IS) research on open data has been primarily focused on its contribution to e-government inquiries, government transparency, and open government. Recently, open data has been explored as a catalyst for service innovation as a consequence of claims around the potential of such initiatives in terms of additional value that can be injected into the worldwide economy. Subsequently, there is an active open data services academic conversation among IS researchers. Notwithstanding this, the evidence of impacts of open data adoption is largely scattered and anecdotal. A systematic literature review study highlighted the underexplored users’ perspective within this field. On the other hand, previous research demonstrates that existing IS adoption theories should be extended as currently “a large part of the variance in the use of open data technologies is not yet explained” (Zuiderwijk et al. 2015, p.437). To address these gaps, an interpretive multiple case study was carried out to explore the factors that influence the adoption of open data for commercial service innovation in cities. In particular, factors influencing this process were inductively derived from the in-depth investigation of three organizations that achieved sustained adoption of open data for the delivery of commercial services across different cities and industries. This research contributes to the IS open data services debate by proposing a model of factors perceived by open data services businesses as the most relevant in explaining adoption of open government data for commercial service innovation in cities. Adopting an inductive reasoning approach through qualitative methods enabled the generation of thick descriptions that were extracted, clustered, defined, and validated for each component of the model. This approach was critical to capture the complexity of the open data ecosystem perceived by those re-using this data. With respect to IS adoption theories, by positioning the cross-case findings within those theoretical elements defined in the literature as predicting adoption of IS, a new enriched model has been formulated and is proposed as a contribution to this theoretical debate. Furthermore, this research demonstrates the suitability of interpretive multiple case study research to inductively generate knowledge in this field. I expect that the findings of this study will be leveraged for stimulating and encouraging successful use of open data, therefore increasing the value of this source as a catalyst for service innovation. Recommendations to city councils are also proposed from the findings of this research.

Item Type:	Thesis (PhD)
Keywords:	open government data; commercial service innovation; cities;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	8779
Depositing User:	IR eTheses
Date Deposited:	08 Sep 2017 10:11
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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