Adoption of data-as-a-service by water and wastewater utilities

Amir Cahn; David Katz; Andrea Ghermandi; Peter Prevos

doi:10.1016/j.jup.2023.101492

Adoption of data-as-a-service by water and wastewater utilities

Amir Cahn, David Katz, Andrea Ghermandi, Peter Prevos

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	101492
Journal	Utilities Policy
Volume	81
DOIs	https://doi.org/10.1016/j.jup.2023.101492
State	Published - Apr 2023

Bibliographical note

Funding Information:
In conclusion, the results of this study support the notion that the DaaS model can facilitate the uptake of innovative solutions within the water and wastewater sectors, such as smart metering, leak detection, water quality monitoring, CSO monitoring, and industrial pollution detection. Several barriers must be overcome, beginning with data ownership and security concerns. These findings can be useful for regulators and policymakers looking to encourage water utilities to make data-driven decisions and DaaS technology providers seeking to tailor their offerings to serve utility customers well. Future studies could explore which types of public governance arrangements and utility structures affect DaaS adoption, determine the reliability and effectiveness of internal versus outsourced data management, and the impact of the broader regulatory environment. Moreover, further research could identify the exact value of DaaS and what determines utility suitability to adopt this model by developing a maturity assessment tool.

Publisher Copyright:
© 2023 Elsevier Ltd

Keywords

Big data
Data-as-a-Service
Public-private partnerships

ASJC Scopus subject areas

Business and International Management
Development
Sociology and Political Science
Management, Monitoring, Policy and Law

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10.1016/j.jup.2023.101492

Cite this

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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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Adoption of data-as-a-service by water and wastewater utilities

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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