Adoption of data-as-a-service by water and wastewater utilities |
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| Affiliation: | 1. Department of Natural Resources and Environmental Management, University of Haifa, Israel;2. Department of Geography and Environmental Studies, University of Haifa, Israel;3. Data Scientist, Coliban Water, Bendigo, Australia;1. Division TME, Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Leuven, Belgium;2. EnergyVille, Thor Park 8310 & 8320, 3600, Genk, Belgium;1. School of Economics and Management, China University of Geosciences, Wuhan, 430074, PR China;1. University of Verona, Department of Business Administration, Verona, Italy;2. University of Padova, Department of Industrial Engineering, Padova, Italy;1. Research Fellow in Science, Technology and Innovation Studies, University of Edinburgh, United Kingdom;2. Reader in Science, Technology and Innovation Studies, University of Edinburgh, United Kingdom |
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| Abstract: | While technologies in the water sector have been advancing over the past few decades, complementary innovation in business models is needed to support the adoption of these technologies. One emerging opportunity is an outsourced approach to data collection, delivery, and analysis known as “Data-as-a-Service.” This study is the first to explore the drivers, barriers, and implementation trends for water and wastewater utilities to adopt this model. The findings provide valuable insights for utility managers looking for new ways to adopt innovative technologies and regulators and policymakers seeking to encourage utilities to make data-driven decisions. |
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| Keywords: | Big data Data-as-a-Service Public-private partnerships |
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