Exploring the factors that influence adoption of open government data for commercial service innovation in cities Giovanni Maccani PhD 2016 ii Exploring the factors that influence adoption of open government data for commercial service innovation in cities Giovanni Maccani Thesis for the Degree of Doctor of Philosophy Maynooth University, Maynooth, Co. Kildare, Ireland School of Business September 2016 Head of School: Professor Peter McNamara Supervisor of Research: Professor Brian Donnellan Co-Supervisor of Research: Doctor Markus Helfert iii 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. iv Acknowledgements Both my parents, Claudio and Franca, have worked very hard to ensure I have every opportunity in life. This is as much a product of their work as it is mine. This extends to my brother Federico who has never ceased to support and love me. My heartfelt thanks to Paulina for her unwavering encouragement and fate as well as her patience and understanding. I would like to express my profound sense of gratitude to my supervisors Professor Brian Donnellan and Doctor Markus Helfert for their constant constructive insights and inspirations throughout the course of this PhD project. I am grateful to Prof Piero Formica who introduced me to Maynooth University, Intel Corporation, my supervisors of research, and, more generally, to the research world. It was because of Piero that I have started this program. I acknowledge that this work wouldn’t have been possible without the greatly thoughtful help from Prof Anne Huff across all stages of my PhD research program. A special thanks to Dr David Prendergast, Jim Kenneally, and Prof Martin Curley from Intel for their input and for the great opportunities they have given me during these years. Thanks to my annual reviewer Prof. Robert Galavan, Dr. Paul Donovan, and Dr. John Cullen for their time in seriously reviewing my work and for providing incredibly valuable feedback. I especially thank Edward O’Connor for being a great friend during this period. Thanks also to Tadhg Charleton and Reka Petercsak. I appreciate and acknowledge the contributions to this research from the Business Informatics Group (BIG) at Dublin City University and particulalry I would like to thank Dr Martin Meyer, Dr Plamen Petkov, Phelim Murnion, Dr Karen Carey, Patrick Brandtner, Dr Shuyan Xie, Dr Owen Foley, Dr Mouzhi Ge, and Dr. Lukasz Ostrowski. Sincere thanks to all participants in this research; to all interviewees, Dublin City Council, and particularly thanks to all the representatives of the cases for their precious, serious, and proactive collaboration. Last but not least, I would like to acknowledge the generous support and funding received from the Irish Research Council and Intel Corporation for the award which made undertaking my doctoral study possible. v Table of Contents 1 INTRODUCTION ............................................................................................................................... 1 1.1 Thesis Structure ...................................................................................................................... 2 1.2 Open Data ............................................................................................................................... 4 1.3 Open Data Services ................................................................................................................. 6 1.4 Research Domain and Contribution ........................................................................................ 8 2 SYSTEMATIC LITERATURE REVIEW AND RESEARCH GAP .............................................................. 10 2.1 Eight-Step Systematic Literature Review .............................................................................. 10 2.2 Purpose of the Literature Review, Protocol and Training ..................................................... 10 2.3 Searching for the Literature .................................................................................................. 11 2.4 Data Extraction and Data Synthesis ...................................................................................... 14 2.4.1 Group A – Supply Side ................................................................................................... 15 2.4.2 Group B – Supply and Demand Side ............................................................................. 17 2.4.3 Group C – Demand Side ................................................................................................ 19 2.5 Critical Discussion on Existing Open Data Services’ Literature ............................................. 22 2.5.1 Discussing papers on Adoption of Open Data .............................................................. 23 2.5.2 Research Gap ................................................................................................................ 27 2.6 Research Question ................................................................................................................ 28 2.7 Chapter Summary ................................................................................................................. 29 3 RESEARCH APPROACH AND METHODOLOGY ............................................................................... 30 3.1 Philosophical Underpinnings ................................................................................................ 31 3.1.1 Choosing a suitable Research Philosophy ..................................................................... 33 3.1.2 Social Constructionism .................................................................................................. 35 3.2 Research Reasoning .............................................................................................................. 37 3.3 Research Approach ............................................................................................................... 38 3.4 Choosing a suitable Research Methodology ......................................................................... 39 3.4.1 Action Research ............................................................................................................ 40 3.4.2 Ethnographic Research ................................................................................................. 40 3.4.3 Grounded Theory .......................................................................................................... 41 3.4.4 Phenomenological Research ......................................................................................... 42 3.4.5 Narrative Research ........................................................................................................ 42 3.4.6 Case Study Research ..................................................................................................... 43 3.5 Rationale behind Adopting Multiple Case Study Research .................................................. 43 3.6 Theories on Adoption of IS and their role within this study ................................................. 45 vi 3.6.1 Role of theory in inductive multiple case studies ......................................................... 45 3.6.2 Reflections on current adoption theories and positioning within this study ............... 47 3.7 Multiple Case Study Research Protocol ................................................................................ 51 3.8 Case Study Selection ............................................................................................................. 53 3.9 Single Case Study Protocol .................................................................................................... 55 3.10 Data Collection Methods ...................................................................................................... 58 3.10.1 Observation – Informal Meetings ................................................................................. 58 3.10.2 Documents Analysis ...................................................................................................... 59 3.10.3 Qualitative Interview .................................................................................................... 59 3.10.4 The Semi-Structured Interview Protocol ...................................................................... 61 3.10.5 Addressing Potential Pitfalls of the Method ................................................................. 64 3.10.6 Single Cases – Validation ............................................................................................... 66 3.11 Trustworthiness of Multiple Case Study ............................................................................... 67 3.12 Single Cases: Qualitative Data Analysis ................................................................................. 68 3.13 Single Case Study Report ...................................................................................................... 73 3.14 Cross-Case Analysis ............................................................................................................... 74 3.15 Cross-Case Analysis Philosophical Consistency ..................................................................... 75 3.16 Merging the Cases Findings and CCTA Development ........................................................... 76 3.17 Validation across Cases ......................................................................................................... 78 3.17.1 Validation Participants .................................................................................................. 79 3.17.2 Review of the Preliminary Cross-Case Findings and additional Data Collection .......... 82 3.17.3 Review of Retained Variables ....................................................................................... 83 3.18 Positioning Cross-Case Assertions within the Literature ...................................................... 84 3.19 Chapter Summary ................................................................................................................. 85 4 CASE STUDY A REPORT .................................................................................................................. 86 4.1 Introduction to Case A .......................................................................................................... 86 4.2 Contextualization of Methods .............................................................................................. 89 4.3 Case A Analysis ...................................................................................................................... 91 4.3.1 External Factors Analysis ............................................................................................... 91 4.3.2 Perceptions Analysis ..................................................................................................... 92 4.3.3 Adoption Process Analysis ............................................................................................ 93 4.3.4 Validation Meeting ........................................................................................................ 94 4.4 Case A Findings ..................................................................................................................... 95 4.4.1 External Factors............................................................................................................. 95 vii 4.4.2 Perceptions ................................................................................................................. 105 4.4.3 Adoption Stages .......................................................................................................... 113 4.5 Case Study A Conclusions: Adoption Factors Variables and Links ...................................... 115 5 CASE STUDY B REPORT ................................................................................................................ 118 5.1 Introduction to Case B ........................................................................................................ 118 5.2 Contextualization of Methods ............................................................................................ 122 5.3 Case B Analysis .................................................................................................................... 124 5.3.1 External Factors Analysis ............................................................................................. 124 5.3.2 Perceptions Analysis ................................................................................................... 125 5.3.3 Adoption Process Analysis .......................................................................................... 126 5.3.4 Validation Meeting ...................................................................................................... 127 5.4 Case B Findings .................................................................................................................... 128 5.4.1 External Factors........................................................................................................... 128 5.4.2 Perceptions ................................................................................................................. 142 5.4.3 Adoption Stages .......................................................................................................... 155 5.5 Case Study B Conclusions: Adoption Factors Variables and Links ...................................... 157 6 CASE STUDY C REPORT ................................................................................................................ 160 6.1 Introduction to Case C ........................................................................................................ 160 6.2 Contextualization of Methods ............................................................................................ 163 6.3 Case C Analysis .................................................................................................................... 165 6.3.1 External Factors Analysis ............................................................................................. 166 6.3.2 Perceptions Analysis ................................................................................................... 167 6.3.3 Adoption Process Analysis .......................................................................................... 168 6.3.4 Validation Meetings .................................................................................................... 169 6.4 Case C Findings .................................................................................................................... 170 6.4.1 External Factors........................................................................................................... 171 6.4.2 Case C Perceptions ...................................................................................................... 186 6.4.3 Case C Adoption Stages ............................................................................................... 198 6.5 Case Study C Conclusions: Adoption Factors Variables and Links ...................................... 200 7 CROSS-CASE FINDINGS ................................................................................................................ 203 7.1 Cross-Case Analysis Process: CCTA Development .............................................................. 204 7.1.1 External Factors CCTA Development .......................................................................... 204 7.1.2 Perceptions Factors CCTA Development .................................................................... 207 7.1.3 Adoption Stages CCTA Development .......................................................................... 211 viii 7.2 External Factors Cross-Case Assertions .............................................................................. 213 7.3 Perceptions Cross-Case Assertions ..................................................................................... 234 7.4 Adoption Stages across Cases ............................................................................................. 253 7.5 Cross-Case Conclusions: Adoption Factors Variables and Links ......................................... 257 8 POSITIONING THE FINDINGS WITHIN THE LITERATURE ............................................................. 259 8.1 Positioning Findings within the Open Data Services Literature .......................................... 259 8.1.1 Positioning External Factors ........................................................................................ 260 8.1.2 Positioning Perceptions .............................................................................................. 267 8.1.3 Positioning Adoption Stages ....................................................................................... 271 8.2 Positioning Findings within the Literature on IS Adoption ................................................. 272 8.2.1 Performance Expectancy ............................................................................................ 274 8.2.2 Effort Expectancy ........................................................................................................ 276 8.2.3 Social Influence ........................................................................................................... 277 8.2.4 Facilitating Conditions ................................................................................................. 277 8.2.5 Innovation Characteristics .......................................................................................... 280 8.2.6 Experience and Attitude ............................................................................................. 281 8.2.7 Output Quality ............................................................................................................ 282 8.2.8 Voluntariness of Use ................................................................................................... 283 8.2.9 Perceived Credibility and Sustainability ...................................................................... 284 8.2.10 Positioning Links .......................................................................................................... 284 8.2.11 Enriched Model ........................................................................................................... 289 9 CONCLUSIONS ............................................................................................................................. 291 9.1 Contributions to Theory ...................................................................................................... 291 9.1.1 Open Data Services Contribution ................................................................................ 291 9.1.2 Contribution to Adoption of IS .................................................................................... 293 9.2 Recommendations for city councils .................................................................................... 294 9.3 Limitations........................................................................................................................... 297 9.4 Future Research .................................................................................................................. 299 REFERENCES ........................................................................................................................................ 303 APPENDICES ........................................................................................................................................ 323 Appendix 1: Case Studies Documents ................................................................................................. 323 Appendix 2: Semi-Structured Interviews Descriptions ....................................................................... 326 Appendix 3: Case Study A Codes and Evidences ................................................................................. 329 Appendix 4: Case Study B Codes and Evidences ................................................................................. 342 ix Appendix 5: Case Study C Codes and Evidences ................................................................................. 354 Appendix 6: Cross-Case Assertions ..................................................................................................... 369 Appendix 7: Cross-Case Analysis – Finally Retained Variables ........................................................... 374 Appendix 8: Effort Expectancy - Root Constructs ............................................................................... 375 List of Tables Table 2.1 Summary of key papers ......................................................................................................... 27 Table 3.1: Summary of key research decisions ..................................................................................... 50 Table 3.2: Cases demographics ............................................................................................................. 55 Table 3.3: SSI protocol step 1, situating the actor ................................................................................ 61 Table 3.4: SSI protocol step 2, individual perceptions on open data ................................................... 62 Table 3.5: SSI protocol step 3, motivations of adopting open data and dataset attributes ................. 62 Table 3.6: SSI protocol step 4, lived experience influential factors ...................................................... 62 Table 3.7: SSI protocol step 5, opinion factors as domain expert ........................................................ 63 Table 3.8: Qualitative interviews’ potential pitfalls .............................................................................. 65 Table 3.9: Single cases data collection summary .................................................................................. 67 Table 3.10: Participants in validation across cases ............................................................................... 82 Table 4.1: Case A's people .................................................................................................................... 87 Table 4.2: Case A, external factors analysis .......................................................................................... 92 Table 4.3: Case A, perceptions analysis ................................................................................................ 93 Table 4.4: Case A, adoption stages analysis .......................................................................................... 93 Table 4.5: Case A Assertion 1, open data and dataset characteristics ................................................. 96 Table 4.6: Case A Assertion 4, city-business collaboration factors ..................................................... 101 Table 4.7: Case A Other External Factors ............................................................................................ 103 Table 4.8: Case A Assertion 8, perceived usefulness of open data .................................................... 106 Table 4.9: Case A Assertion 10, perceived city opportunity ............................................................... 110 Table 4.10: Case A, Cluster I ................................................................................................................ 112 Table 4.11: Case A, Adoption Stages ................................................................................................... 114 Table 5.1: Case B, external factors analysis ........................................................................................ 125 Table 5.2: Case B, perceptions analysis .............................................................................................. 126 Table 5.3: Case B, adoption stages analysis ........................................................................................ 126 Table 5.4: Case B Assertion 1, open data characteristics ................................................................... 129 Table 5.5: Case B Assertion 2, organizational factors ......................................................................... 131 Table 5.6: Case B Assertion 3, organizational skills ............................................................................ 132 Table 5.7: Case B Assertion 4, city-related factors ............................................................................. 134 Table 5.8: Case B Assertion 5, EU open data ecosystem factors ........................................................ 136 Table 5.9: Case B Assertion 6, local community and ecosystem factors ............................................ 137 Table 5.10: Case B Assertion 7, open data service characteristics ..................................................... 139 Table 5.11: Case B Assertion 8, individual factors .............................................................................. 141 Table 5.12: Case B Assertion 9, perceived usefulness of open data ................................................... 142 Table 5.13: Case B Assertion 10, perceived business opportunity ..................................................... 145 Table 5.14: Case B Assertion 11, perceived users’ interest ................................................................ 147 x
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