Digital transformation in water organizations

Human-level control through deep reinforcement learning

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature · doi:10.1038/nature14236 · Cited by 30,357 · see citing works

Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study

Geels, F. W. (2002) · Research Policy · doi:10.1016/s0048-7333(02)00062-8 · Cited by 7,275 · see citing works

Digital transformation: A multidisciplinary reflection and research agenda

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2019.09.022 · Cited by 5,720 · see citing works

Typology of sociotechnical transition pathways

Geels, F. W., & Schot, J. (2007) · Research Policy · doi:10.1016/j.respol.2007.01.003 · Cited by 5,245 · see citing works

Increasing drought under global warming in observations and models

Dai, A. (2013) · Nature Climate Change · doi:10.1038/nclimate1633 · Cited by 4,762 · see citing works

Digital Twin in Industry: State-of-the-Art

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391 · see citing works

Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal

Warner, K., & Wäger, M. (2018) · Long Range Planning · doi:10.1016/j.lrp.2018.12.001 · Cited by 4,142 · see citing works

Identifying, understanding, and analyzing critical infrastructure interdependencies

(2001) · IEEE Control Systems · doi:10.1109/37.969131 · Cited by 2,851 · see citing works

Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship

Nambisan, S. (2016) · Entrepreneurship Theory and Practice · doi:10.1111/etap.12254 · Cited by 2,812 · see citing works

Digital affordances, spatial affordances, and the genesis of entrepreneurial ecosystems

Autio, E., Nambisan, S., Thomas, L. D. W., & Wright, M. (2018) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1266 · Cited by 1,738 · see citing works

Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm

Eusuff, M. M., & Lansey, K. (2003) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)0733-9496(2003)129:3(210 · Cited by 1,397 · see citing works

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

Krause, A., Singh, A. P., & Guestrin, C. (2008) · Journal of Machine Learning Research · Cited by 1,362 · see citing works

Digital transformation: opportunities to create new business models

Berman, S. J. (2012) · Strategy and Leadership · doi:10.1108/10878571211209314 · Cited by 1,138 · see citing works

Global warming and 21st century drying

Cook, B. I., Smerdon, J. E., Seager, R., & Coats, S. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2075-y · Cited by 1,078 · see citing works

Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities

Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020) · Information & Management · doi:10.1016/j.im.2019.05.004 · Cited by 1,072 · see citing works

Genetic Algorithms for Least-Cost Design of Water Distribution Networks

Savic, D. A., & Walters, G. A. (1997) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)0733-9496(1997)123:2(67 · Cited by 969 · see citing works

Processes and patterns in transitions and system innovations: Refining the co-evolutionary multi-level perspective

Geels, F. W. (2005) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2004.08.014 · Cited by 942 · see citing works

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

KrauseAndreas, SinghAjit, & GuestrinCarlos (2008) · Journal of Machine Learning Research · doi:10.5555/1390681.1390689 · Cited by 820 · see citing works

Wildfire effects on water quality in forest catchments: A review with implications for water supply

Smith, H. G., Sheridan, G. J., Lane, P. N. J., Nyman, P., & Haydon, S. (2011) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.10.043 · Cited by 752 · see citing works

A model for diagnosing organizational behavior

Nadler, D. A., & Tushman, M. L. (1980) · Organizational Dynamics · doi:10.1016/0090-2616(80)90039-x · Cited by 631 · see citing works

Maneuvering in Poor Visibility: How Firms Play the Ecosystem Game when Uncertainty is High

Dattée, B., Alexy, O., & Autio, E. (2018) · Academy of Management Journal · doi:10.5465/amj.2015.0869 · Cited by 567 · see citing works

How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

Sun, A. Y., & Scanlon, B. R. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab1b7d · Cited by 556 · see citing works

What literature review is not: diversity, boundaries and recommendations

Rowe, F. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.7 · Cited by 547 · see citing works

Assessing business value of big data analytics in European firms

Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.011 · Cited by 538 · see citing works

Management challenges in creating value from business analytics

Vidgen, R., Shaw, S., & Grant, D. B. (2017) · European Journal of Operational Research · doi:10.1016/j.ejor.2017.02.023 · Cited by 493 · see citing works

Ant Colony Optimization for Design of Water Distribution Systems

Maier, H. R., Simpson, A. R., Zecchin, A. C., Foong, W. K., Phang, K. Y., Seah, H. Y., & Tan, C. L. (2003) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)0733-9496(2003)129:3(200 · Cited by 484 · see citing works

Entrepreneurship and strategic thinking in business ecosystems

Zahra, S. A., & Nambisan, S. (2012) · Business Horizons · doi:10.1016/j.bushor.2011.12.004 · Cited by 462 · see citing works

Digital Transformation

Ebert, C., & Duarte, C. H. C. (2018) · IEEE Software · doi:10.1109/ms.2018.2801537 · Cited by 424 · see citing works

World Urbanization Prospects 2018: Highlights

United Nations Department of Economic and Social Affairs (2019) · doi:10.18356/6255ead2-en · Cited by 409 · see citing works

Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization

Deb, K., & Tiwari, S. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.06.042 · Cited by 400 · see citing works

Internet of things enabled real time water quality monitoring system

K, G. S., & Gouthami, S. (2016) · Smart Water · doi:10.1186/s40713-017-0005-y · Cited by 381 · see citing works

Quantifying the global non-revenue water problem

Liemberger, R., & Wyatt, A. (2018) · Water Science & Technology Water Supply · doi:10.2166/ws.2018.129 · Cited by 368 · see citing works

Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?

Côrte-Real, N., Ruivo, P., & Oliveira, T. (2020) · Information & Management · doi:10.1016/j.im.2019.01.003 · Cited by 306 · see citing works

Natural hazards in Australia: extreme bushfire

Sharples, J. J., Cary, G. J., Fox‐Hughes, P., Mooney, S., Evans, J. P., Fletcher, M., Fromm, M. D., Grierson, P. F., McRae, R. H. D., & Baker, P. J. (2016) · Climatic Change · doi:10.1007/s10584-016-1811-1 · Cited by 274 · see citing works

Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks

Giannakis, D., Jamasb, T., & Pollitt, M. G. (2004) · Energy Policy · doi:10.1016/j.enpol.2004.04.021 · Cited by 261 · see citing works

Deep learning identifies accurate burst locations in water distribution networks

Zhou, X. H., Tang, Z., Xu, W., Meng, F., Chu, X., Xin, K., & Fu, G. (2019) · Water Research · doi:10.1016/j.watres.2019.115058 · Cited by 259 · see citing works

Ecosystem services in Mediterranean river basin: Climate change impact on water provisioning and erosion control

Bangash, R. F., Passuello, A., Sánchez-Canales, M., Terrado, M., Benito, A. L., Tenreiro, F. J. E., Ziv, G., Acuña, V., & Schuhmacher, M. (2013) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2013.04.025 · Cited by 254 · see citing works

Big data and business analytics: A research agenda for realizing business value

Mikalef, P., Pappas, I. O., Krogstie, J., & Pavlou, P. A. (2019) · Information & Management · doi:10.1016/j.im.2019.103237 · Cited by 253 · see citing works

Big data monetization throughout Big Data Value Chain: a comprehensive review

Faroukhi, A. Z., Alaoui, I. E., Gahi, Y., & Amine, A. (2020) · Journal Of Big Data · doi:10.1186/s40537-019-0281-5 · Cited by 232 · see citing works

Water-Energy Nexus: Challenges and Opportunities

Bauer, D., Philbrick, M., Vallario, B., Battey, H., Clement, Z., Fields, F., & Li, J. S. Y. (2014) · Cited by 211 · see citing works

Smart metering: enabler for rapid and effective post meter leakage identification and water loss management

Britton, T. C., Stewart, R. A., & O’Halloran, K. (2013) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2013.05.018 · Cited by 210 · see citing works

Configuring transformative governance to enhance resilient urban water systems

Rijke, J., Farrelly, M. A., Brown, R. R., & Zevenbergen, C. (2012) · Environmental Science & Policy · doi:10.1016/j.envsci.2012.09.012 · Cited by 206 · see citing works

Strategic action fields of digital transformation

Peter, M. K., Kraft, C., & Lindeque, J. P. (2020) · Journal of strategy and management · doi:10.1108/jsma-05-2019-0070 · Cited by 200 · see citing works

Infrastructure transformation as a socio-technical process — Implications for the governance of energy distribution networks in the UK

Bolton, R., & Foxon, T. J. (2014) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.02.017 · Cited by 199 · see citing works

Transformation of Infrastructures: Sector Characteristics and Implications for Fundamental Change

Markard, J. (2011) · Journal of Infrastructure Systems · doi:10.1061/(asce)is.1943-555x.0000056 · Cited by 198 · see citing works

Characterizing Cyber-Physical Attacks on Water Distribution Systems

Taormina, R., Galelli, S., Tippenhauer, N. O., Salomons, E., & Ostfeld, A. (2017) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0000749 · Cited by 175 · see citing works

Smart Water Technology for Efficient Water Resource Management: A Review

Gupta, A. D., Pandey, P., Feijóo, A., Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Z. M., & Bokde, N. D. (2020) · Energies · doi:10.3390/en13236268 · Cited by 171 · see citing works

Resilience of Infrastructure Systems to Sea-Level Rise in Coastal Areas: Impacts, Adaptation Measures, and Implementation Challenges

de Almeida, B. A., & Mostafavi, A. (2016) · Sustainability · doi:10.3390/su8111115 · Cited by 169 · see citing works

The next digital transformation: from an individual-centered to an everyone-to-everyone economy

Berman, S. J., & Marshall, A. (2014) · Strategy and Leadership · doi:10.1108/sl-07-2014-0048 · Cited by 166 · see citing works

Big data analytics and computational intelligence for cyber–physical systems: recent trends and state of the art applications

Iqbal, R., Doctor, F., More, B., Mahmud, S., & Yousuf, U. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.021 · Cited by 155 · see citing works

Cyber-physical systems for water sustainability: challenges and opportunities

Wang, Z., Song, H. H., Watkins, D., Ong, K. G., Xue, P., Yang, Q. B., & Shi, X. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7105668 · Cited by 142 · see citing works

A Study on Data Storage Security Issues in Cloud Computing

Vurukonda, N., & Rao, B. T. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.07.335 · Cited by 138 · see citing works

A model to compare cloud and non-cloud storage of Big Data

Chang, V. I. C., & Wills, G. B. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.10.003 · Cited by 133 · see citing works

Deep-Learning Approach to the Detection and Localization of Cyber-Physical Attacks on Water Distribution Systems

Taormina, R., & Galelli, S. (2018) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0000983 · Cited by 133 · see citing works

The Fourth-Revolution in the Water Sector Encounters the Digital Revolution

Garrido‐Baserba, M., Corominas, L., Ulises Cortés, A., Rosso, D., & Poch, M. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b04251 · Cited by 127 · see citing works

Rethinking the Framework of Smart Water System: A Review

Li, J., Yang, X., & Sitzenfrei, R. (2020) · Water · doi:10.3390/w12020412 · Cited by 124 · see citing works

Big Data analytics and IoT in Operation safety management in Under Water Management

Nie, X., Fan, T., Wang, B., Li, Z., Shankar, A., & Manickam, A. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.02.052 · Cited by 122 · see citing works

Toward the digital water age: Survey and case studies of Australian water utility smart-metering programs

Beal, C., & Flynn, J. (2015) · Utilities Policy · doi:10.1016/j.jup.2014.12.006 · Cited by 108 · see citing works

Re-engineering traditional urban water management practices with smart metering and informatics

Nguyen, K. A., Stewart, R. A., Zhang, H., Sahin, O., & Siriwardene, N. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.12.015 · Cited by 106 · see citing works

Transport infrastructure safety improvement based on digital technology implementation

Marusin, A., Marusin, A., & Ablyazov, T. K. (2019) · International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI) · doi:10.2991/icdtli-19.2019.61 · Cited by 106 · see citing works

IoT-Based Big Data

Rathore, M. M., Paul, A., Ahmad, A., & Jeon, G. (2016) · International Journal on Semantic Web and Information Systems · doi:10.4018/ijswis.2017010103 · Cited by 105 · see citing works

Water Level Measurements from Drones: A Pilot Case Study at a Dam Site

Ridolfi, E., & Manciola, P. (2018) · Water · doi:10.3390/w10030297 · Cited by 101 · see citing works

Railway infrastructure monitoring by drones

Flammini, F., Pragliola, C., & Smarra, G. (2016) · IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) · doi:10.1109/esars-itec.2016.7841398 · Cited by 100 · see citing works

Infrastructures, intersections and societal transformations

Cass, N., Schwanen, T., & Shove, E. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.07.039 · Cited by 97 · see citing works

Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems

Hajgató, G., Paál, G., & Gyires-Tóth, B. (2020) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001287 · Cited by 95 · see citing works

Infrastructure as a Complex Adaptive System

Oughton, E. J., Usher, W., Tyler, P., & Hall, J. W. (2018) · Complexity · doi:10.1155/2018/3427826 · Cited by 93 · see citing works

An intelligent pattern recognition model to automate the categorisation of residential water end-use events

Nguyen, K. A., Stewart, R. A., & Zhang, H. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2013.05.002 · Cited by 86 · see citing works

Urban water conservation through customised water and end-use information

Liu, A., Giurco, D., & Mukheibir, P. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.10.002 · Cited by 86 · see citing works

Real-Time Identification of Cyber-Physical Attacks on Water Distribution Systems via Machine Learning–Based Anomaly Detection Techniques

Abokifa, A. A., Haddad, K., Lo, C. S., & Biswas, P. (2018) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001023 · Cited by 84 · see citing works

The 'Nexus' As a Step Back towards a More Coherent Water Resource Management Paradigm

Müller, M. (2015) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 84 · see citing works

Reconfiguration, Contestation, and Decline

Sovacool, B. K., Lovell, K., & Ting, M. B. (2018) · Science Technology & Human Values · doi:10.1177/0162243918768074 · Cited by 83 · see citing works

Introduction to the special section: Infrastructures and transitions

Loorbach, D. A., Frantzeskaki, N., & Thissen, W. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.06.001 · Cited by 82 · see citing works

Linking Water Infrastructure, Public Health, and Sea Level Rise: Integrated Assessment of Flood Resilience in Coastal Cities

Allen, T. R., Crawford, T. W., Montz, B. E., Whitehead, J. C., Lovelace, S., Hanks, A. D., Christensen, A. R., & Kearney, G. D. (2018) · Public Works Management & Policy · doi:10.1177/1087724x18798380 · Cited by 81 · see citing works

Research challenges of big data

Younas, M. (2019) · Service Oriented Computing and Applications · doi:10.1007/s11761-019-00265-x · Cited by 81 · see citing works

Data Mining to Uncover Heterogeneous Water Use Behaviors From Smart Meter Data

Cominola, A., Nguyen, K. A., Giuliani, M., Stewart, R. A., Maier, H. R., & Castelletti, A. F. (2019) · Water Resources Research · doi:10.1029/2019wr024897 · Cited by 77 · see citing works

Integrating urban metabolism and life cycle assessment to analyse urban sustainability

Maranghi, S., Parisi, M. L., Facchini, A., Rubino, A., Kordas, O., & Basosi, R. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106074 · Cited by 75 · see citing works

Learning from failures in business model innovation: solving decision-making logic conflicts through intrapreneurial effectuation

Brenk, S., Lüttgens, D., Diener, K., & Piller, F. T. (2019) · Journal of Business Economics · doi:10.1007/s11573-019-00954-1 · Cited by 74 · see citing works

Sensor placement for fault location identification in water networks: A minimum test cover approach

Perelman, L., Abbas, W., Koutsoukos, X., & Amin, S. (2016) · Automatica · doi:10.1016/j.automatica.2016.06.005 · Cited by 71 · see citing works

When the fourth water and digital revolution encountered COVID-19

Manel Poch, A., Garrido‐Baserba, M., Corominas, L., Perelló-Moragues, A., Monclús, H., Cermerón-Romero, M., Melitas, N., Jiang, S. C., & Rosso, D. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140980 · Cited by 68 · see citing works

Revealing Unreported Benefits of Digital Water Metering: Literature Review and Expert Opinions

Monks, I., Stewart, R. A., Sahin, O., & Keller, R. J. (2019) · Water · doi:10.3390/w11040838 · Cited by 66 · see citing works

Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide

Stephens, M., Gong, J., Zhang, C., Marchi, A., Dix, L., & Lambert, M. F. (2020) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001266 · Cited by 66 · see citing works

Developing a water infrastructure planning framework for the complex modern planning environment

Furlong, C., Silva, S. D., Guthrie, L., & Considine, R. F. (2015) · Utilities Policy · doi:10.1016/j.jup.2015.11.002 · Cited by 63 · see citing works

Smart water management using IOT

Wadekar, S., Vakare, V., Prajapati, R., Yadav, S., & Yadav, V. (2016) · International Conference on Wireless Networks and Embedded Systems (WECON) · doi:10.1109/wecon.2016.7993425 · Cited by 62 · see citing works

Enhancing water system models by integrating big data

Shafiee, M. E., Barker, Z. A., & Rasekh, A. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.11.042 · Cited by 61 · see citing works

Analysis of Critical Infrastructure Dependencies and Interdependencies

Petit, F., USDOE, Verner, D. R., Brannegan, D., Buehring, W. A., Dickinson, D. C., Guziel, K. A., Haffenden, R. A., Phillips, J., & Peerenboom, J. P. (2015) · doi:10.2172/1184636 · Cited by 60 · see citing works

Motivating metrics for household water-use feedback

Liu, A., Giurco, D., & Mukheibir, P. (2015) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2015.05.008 · Cited by 59 · see citing works

Drones in urban stormwater management: a review and future perspectives

McDonald, W. (2019) · Urban Water Journal · doi:10.1080/1573062x.2019.1687745 · Cited by 58 · see citing works

PMU Placement for Line Outage Identification via Multinomial Logistic Regression

Kim, T., & Wright, S. J. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2546339 · Cited by 57 · see citing works

Robust sensor placement for pipeline monitoring: Mixed integer and greedy optimization

Sela, L., & Amin, S. (2018) · Advanced Engineering Informatics · doi:10.1016/j.aei.2018.02.004 · Cited by 55 · see citing works

Electricity networks: how ‘natural’ is the monopoly?

Künneke, R. (1999) · Utilities Policy · doi:10.1016/s0957-1787(99)00013-2 · Cited by 47 · see citing works

Digital Twins: The Next Generation of Water Treatment Technology

Curl, J. M., Nading, T., Hegger, K., Barhoumi, A., & Smoczynski, M. (2019) · American Water Works Association · doi:10.1002/awwa.1413 · Cited by 47 · see citing works

Detection of Emerging through-Wall Cracks for Pipe Break Early Warning in Water Distribution Systems Using Permanent Acoustic Monitoring and Acoustic Wave Analysis

Gong, J., Lambert, M. F., Stephens, M., Cazzolato, B. S., & Zhang, C. (2020) · Water Resources Management · doi:10.1007/s11269-020-02560-1 · Cited by 43 · see citing works

Factors Influencing Adoption of IoT for Data-driven Decision Making in Asset Management Organizations

Brous, P., Janssen, M., Schraven, D., Spiegeler, J., & Can Duzgun, B. (2017) · Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security · doi:10.5220/0006296300700079 · Cited by 41 · see citing works

The Water, Energy, Food, and Sustainability Nexus Decision Environment: A Multistakeholder Transdisciplinary Approach

Bai, C. A., & Sarkis, J. (2019) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2019.2946756 · Cited by 39 · see citing works

Governing Infrastructure Networks for a Low Carbon Economy: Co-Evolution of Technologies and Institutions in UK Electricity Distribution Networks

Bolton, R., & Foxon, T. J. (2011) · Competition and Regulation in Network Industries · doi:10.1177/178359171101200101 · Cited by 37 · see citing works

Quantifying intangible benefits of water sensitive urban systems and practices: an overview of non-market valuation studies

Gunawardena, A., Iftekhar, M. S., & Fogarty, J. J. (2020) · Australasian Journal of Water Resources · doi:10.1080/13241583.2020.1746174 · Cited by 34 · see citing works

Multi-objective optimization for improving equity and reliability in intermittent water supply systems

Nyahora, P. P., Babel, M. S., Ferràs, D., & Emen, A. (2020) · Water Science & Technology Water Supply · doi:10.2166/ws.2020.066 · Cited by 34 · see citing works

The usage of best practices and procedures in the database community

Holt, V., Ramage, M., Kear, K., & Heap, N. W. (2014) · Information Systems · doi:10.1016/j.is.2014.12.004 · Cited by 33 · see citing works

Big Data System Development: An Embedded Case Study with a Global Outsourcing Firm

Chen, H.-M., Kazman, R., Haziyev, S., & Hrytsay, O. (2015) · doi:10.1109/bigdse.2015.15 · Cited by 32 · see citing works

TRISTAN: Real-time analytics on massive time series using sparse dictionary compression

Marascu, A., Pompey, P., Bouillet, E. P., Wurst, M., Verscheure, O., Grund, M., & Cudré-Mauroux, P. (2014) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2014.7004244 · Cited by 30 · see citing works

Preventive maintenance of critical infrastructures using 5G networks & drones

Zahariadis, T. B., Voulkidis, A. C., Karkazis, P., & Trakadas, P. (2017) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2017.8078465 · Cited by 30 · see citing works

SMART WATER METERING TECHNOLOGY FOR WATER MANAGEMENT IN URBAN AREAS

Randall, T., & Koech, R. (2019) · Water e-Journal · doi:10.21139/wej.2019.001 · Cited by 28 · see citing works

Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks

Zhang, C., Lambert, M. F., Stephens, M., Gong, J., & Cazzolato, B. S. (2020) · Urban Water Journal · doi:10.1080/1573062x.2020.1828501 · Cited by 28 · see citing works

Resilience for Smart Water Systems

Marchese, D., Jin, A. S., Fox‐Lent, C., & Linkov, I. (2019) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001130 · Cited by 27 · see citing works

Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks

McKenna, R., Djapić, P., Weinand, J. M., Fïchtner, W., & Štrbac, G. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.07.089 · Cited by 26 · see citing works

From data to decisions: understanding information flows within regulatory water quality monitoring programs

Kumpel, E., MacLeod, C., Stuart, K., Cock-Esteb, A., Khush, R. S., & Peletz, R. (2020) · npj Clean Water · doi:10.1038/s41545-020-00084-0 · Cited by 26 · see citing works

A Decision-Making Framework for Maintenance and Modernization of Transportation Infrastructure

Dowd, Z., Franz, A. Y., & Wasek, J. S. (2018) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2018.2870326 · Cited by 25 · see citing works

Taking water efficiency to the next level: digital tools to reduce non-revenue water

Cassidy, J., Barbosa, B., Damião, M., Ramalho, P., Ganhão, A., Santos, A., & Feliciano, J. (2020) · Journal of Hydroinformatics · doi:10.2166/hydro.2020.072 · Cited by 25 · see citing works

Hypothetical scenario exercises to improve planning and readiness for drinking water quality management during extreme weather events

Deere, D., Leusch, F. D. L., Humpage, A., Cunliffe, D., & Khan, S. J. (2017) · Water Research · doi:10.1016/j.watres.2016.12.028 · Cited by 24 · see citing works

The Forecasting and Impact of the Loss of Critical Human Skills Necessary for Supporting Legacy Systems

Sandborn, P. A., & Prabhakar, V. J. (2015) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2015.2438820 · Cited by 21 · see citing works

Technology Leveraging for Infrastructure Asset Management: Challenges and Opportunities

Aktan, A. E., Bartoli, I., & Karaman, S. G. (2019) · Frontiers in Built Environment · doi:10.3389/fbuil.2019.00061 · Cited by 21 · see citing works

Paving Pathways for Digitalization in Engineering: Common Concepts in Engineering Chains

Lüder, A., Baumann, L., Behnert, A.-K., Rinker, F., & Biffl, S. (2020) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa46521.2020.9212009 · Cited by 21 · see citing works

The Future of Water: A Collection of Essays on “Disruptive” Technologies that may Transform the Water Sector in the Next 10 Years

Daigger, G. T., Voutchkov, N., Lall, U., & Sarni, W. (2019) · doi:10.18235/0001666 · Cited by 20 · see citing works

Urban Water Systems In Transition

Bell, S. J. (2012) · UCL Discovery (University College London) · Cited by 19 · see citing works

From Traditional Data Warehouse To Real Time Data Warehouse

Bouaziz, S., Nabli, A., & Gargouri, F. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-53480-0_46 · Cited by 19 · see citing works

Assessment Methods of Network Resilience for Cyber-Human-Physical Systems

Duan, S., & Ayyub, B. M. (2019) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.0001021 · Cited by 19 · see citing works

Challenges and Opportunities for Collecting and Sharing Data on Water Governance Institutions

Gallaher, S., & Heikkila, T. (2014) · Journal of Contemporary Water Research & Education · doi:10.1111/j.1936-704x.2014.03181.x · Cited by 17 · see citing works

Infrastructure and Urban Planning Context for Achieving the Visions of Integrated Urban Water Management and Water Sensitive Urban Design

Furlong, C., Dobbie, M. F., Morison, P., Dodson, J., & Pendergast, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812843-5.00016-2 · Cited by 17 · see citing works

Development of reservoir’s optimum operation rules considering water quality issues and climatic change data analysis

Yaghoubi, B., Hosseini, S. A., Nazif, S., & Daghighi, A. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102467 · Cited by 17 · see citing works

Monitoring of Industrial Water Usage by using Internet of Things

Jadhav, S., Patil, S. V., Thanuja, T. C., Shivu, M. P., & Shankar, G. (2018) · International Conference on Information, Communication, Engineering and Technology (ICICET) · doi:10.1109/icicet.2018.8533822 · Cited by 15 · see citing works

Chaos in industry environments

Ndofor, H. A., Fabian, F. H., & Michel, J. G. (2018) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2017.2787860 · Cited by 14 · see citing works

Determinants of real water losses in the Australian drinking water sector

Ananda, J. (2019) · Urban Water Journal · doi:10.1080/1573062x.2019.1700288 · Cited by 14 · see citing works

The evolution of asset management in the water industry

Jones, M., Williams, W., & Stillman, J. (2014) · American Water Works Association · doi:10.5942/jawwa.2014.106.0114 · Cited by 13 · see citing works

A Comparative Study of Data Cleaning Tools

Oni, S., Chen, Z., Hoban, S., & Jademi, O. (2019) · International Journal of Data Warehousing and Mining · doi:10.4018/ijdwm.2019100103 · Cited by 13 · see citing works

An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems

Łangowski, R., & Brdyś, M. A. (2018) · Journal of Process Control · doi:10.1016/j.jprocont.2018.04.007 · Cited by 12 · see citing works

Towards understanding the anticipated customer benefits of digital water metering

Monks, I., Stewart, R. A., Sahin, O., Keller, R. J., & Prevos, P. (2021) · Urban Water Journal · doi:10.1080/1573062x.2020.1857800 · Cited by 12 · see citing works

Understanding and predicting household water use for Adelaide

Arbon, N., Thyer, McDonald, D. H., Beverley, K., & Lambert, M. F. (2014) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 10 · see citing works

A Water Utility Industry Conceptual Asset Management Data Warehouse Model

Mathew, A., Zhang, S., Ma, L., & Hargreaves, D. J. (2006) · QUT ePrints (Queensland University of Technology) · Cited by 9 · see citing works

Modelling multi-layer spatially embedded random networks

Hackl, J., & Adey, B. T. (2018) · Journal of Complex Networks · doi:10.1093/comnet/cny019 · Cited by 9 · see citing works

Lines into the future. Exploring how Dutch infrastructure providers organize and manage their foresight processes

van der Duin, P. A., & Ligtvoet, A. (2018) · Futures · doi:10.1016/j.futures.2018.10.006 · Cited by 9 · see citing works

Sydney Water's smart metering residential project: an insight into the benefits, costs and challenges of smart metering

Doolan, C. (2011) · Cited by 7 · see citing works

The status quo and development trend of smart water research

Zhu, Z., Liu, N., Li, X., Yuan, Z., & Wang, G. (2018) · MATEC Web of Conferences · doi:10.1051/matecconf/201824602013 · Cited by 6 · see citing works

Automating Data Driven Decisions for Asset Management – A How to Framework for Integrating OT/IT Operational and Information Technology, Procedures and Staff

Kuusk, A. G., & Gao, J. P. (2020) · Lecture notes in mechanical engineering · doi:10.1007/978-3-030-64228-0_18 · Cited by 6 · see citing works

Hybrid Evolutionary Optimization/Heuristic Technique for Water System Expansion and Operation

Morley, M., & Tricarico, C. (2015) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0000594 · Cited by 5 · see citing works

Strategic modeling to improve services and operation to energy industries' customers

Lima, C. A. F., Luz, B. M., Takemoto, S. T., Barisson, P., Tezzin, R. A. T., Peres, L. E. A., Anarelli, T. N., & da Silva, A. F. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.04.044 · Cited by 5 · see citing works

Next generation cyber-physical water distribution systems

Kartakis, S. (2016) · Spiral (Imperial College London) · doi:10.25560/52704 · Cited by 5 · see citing works

IoT as a digital enabler of a hyper-connected water utility

Prackwieser, C., Cash, D., & Wassell, M. (2019) · Water e-Journal · doi:10.21139/wej.2019.015 · Cited by 5 · see citing works

Utility-service provision as an example of a complex system

Strzelecka, A., Janus, T., Ozawa-Meida, L., Ulanicki, B., & Skworcow, P. (2015) · DMU Open Research Archive (De Montfort University) · Cited by 1 · see citing works

Integrated System of Water Engineering for Smart Residences

Boteanu, N., & Serb, G. D. P. (2018) · International Conference on Applied and Theoretical Electricity · doi:10.1109/icate.2018.8551438 · Cited by 1 · see citing works

Digital Water Metering: A Framework and Modelling Tool for Benefit Valuation

Monks, I. (2021) · Griffith Research Online · doi:10.25904/1912/4154 · Cited by 1 · see citing works

3. Prime Minister and Cabinet

Clements, R. (2020) · Oxford University Press eBooks · doi:10.1093/he/9780198853497.003.0003 · Cited by 1 · see citing works

Sustainable Water Management: Understanding the Socioeconomic and Cultural Dimensions

Santos, E., Carvalho, M., & Martins, S. (2023) · Sustainability · doi:10.3390/su151713074 · Cited by 122 · see citing works

A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies

Daniel, I., Ajami, N., Castelletti, A. F., Savic, D. A., Stewart, R. A., & Cominola, A. (2023) · npj Clean Water · doi:10.1038/s41545-023-00265-7 · Cited by 72 · see citing works

Smart water networks: A systematic review of applications using high-frequency pressure and acoustic sensors in real water distribution systems

Rousso, B. Z., Lambert, M. F., & Gong, J. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137193 · Cited by 55 · see citing works

Machine learning-based design and monitoring of algae blooms: Recent trends and future perspectives – A short review

Sheik, A. G., Kumar, A., Patnaik, R., Kumari, S., & Bux, F. (2024) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2023.2252313 · Cited by 47 · see citing works

Smart Water Management: Governance Innovation, Technological Integration, and Policy Pathways Toward Economic and Ecological Sustainability

Dai, Y., Huang, Z., Khan, N., & Labbo, M. S. (2025) · Water · doi:10.3390/w17131932 · Cited by 47 · see citing works

Adoption of Artificial Intelligence in Drinking Water Operations: A Survey of Progress in the United States

Rapp, A. H., Turman, A. M., & Sowby, R. B. (2023) · Journal of Water Resources Planning and Management · doi:10.1061/jwrmd5.wreng-5870 · Cited by 45 · see citing works

Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective

Fu, G., Sun, S., Hoang, L., Yuan, Z., & Butler, D. (2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15 · Cited by 42 · see citing works

Making Waves: Towards data-centric water engineering

Fu, G., Savic, D. A., & Butler, D. (2024) · Water Research · doi:10.1016/j.watres.2024.121585 · Cited by 40 · see citing works

Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure

Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37 · see citing works

How Digitalization Shapes Export Product Quality: Evidence from China

Zhang, Q., & Duan, Y. (2023) · Sustainability · doi:10.3390/su15086376 · Cited by 30 · see citing works

Transitioning practices of water utilities from reactive to proactive: Leveraging Australian best practices in digital technologies and data analytics

Rousso, B. Z., Do, N. C., Gao, L., Monks, I., Wu, W., Stewart, R. A., Lambert, M. F., & Gong, J. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131808 · Cited by 29 · see citing works

Making waves: A vision for digital water utilities

Arnell, M., Miltell, M., & Olsson, G. (2023) · Water Research X · doi:10.1016/j.wroa.2023.100170 · Cited by 26 · see citing works

Evolution of Cyber-Physical-Human Water Systems: Challenges and Gaps

Bhandari, P., Creighton, D., Gong, J., Boyle, C., & Law, K. M. Y. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122540 · Cited by 28 · see citing works

Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management

Tsang, Y.-P., Tang, V., Wu, C.-H., & Li, F. (2024) · Journal of Global Information Management · doi:10.4018/jgim.361710 · Cited by 9 · see citing works

Review of the emerging technologies in the water sector with a focus on the deployment of Internet of Things solutions

Obunga, P. O., Rwanga, S. S., Dinka, M. O., & Otieno, B. (2025) · npj Clean Water · doi:10.1038/s41545-025-00487-x · Cited by 17 · see citing works

How the digital revolution is reshaping water management and policy: A focus on Spain

Expósito, A., & Cebollero, E. D. (2025) · Utilities Policy · doi:10.1016/j.jup.2025.102020 · Cited by 11 · see citing works

Does Government Digital Transformation Drive High-Quality Urban Economic Development? Evidence from E-Government Platform Construction

Xiong, L., Wang, X., Liu, Z., & Long, X. (2024) · Systems · doi:10.3390/systems12090372 · Cited by 11 · see citing works

Water Sector 5.0: Harnessing Digital Transformation Opportunities and Mitigating Risks

Chaudhary, M., & Pandey, S. (2025) · Water Resources Management · doi:10.1007/s11269-025-04154-1 · Cited by 9 · see citing works

Self-organizing maps for water quality assessment in reservoirs and lakes: A systematic literature review

Almegdadi, O., Marcelino, J., Fakhreddine, S., Manso, J., & Marques, N. C. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103542 · Cited by 10 · see citing works

Untangling digitalisation: a topic of growing relevance for transition scholars

Bennich, A. (2025) · Environmental Innovation and Societal Transitions · doi:10.1016/j.eist.2025.101021 · Cited by 7 · see citing works

A Machine Learning-based framework and open-source software for Non Intrusive Water Monitoring

Gross, M.-P., Taormina, R., & Cominola, A. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.106247 · Cited by 6 · see citing works

Governance fragmentation and water data management in Palestine

Wawi, A., & Özerol, G. (2025) · Journal of Hydroinformatics · doi:10.2166/hydro.2025.008 · Cited by 5 · see citing works

Digital solutions in search of a problem? Balancing short-term and long-term needs in water utilities

Bennich, A., Bergion, V., & Nilsson, D. (2025) · Utilities Policy · doi:10.1016/j.jup.2025.102036 · Cited by 5 · see citing works

Transparency and Digitalization in Water Services: Reality or Still a Dream?

Zafra-Gómez, E., Garrido-Montañés, M., López‐Pérez, G., & Navarro-Ruiz, M.-A. (2024) · Water · doi:10.3390/w16030367 · Cited by 5 · see citing works

How does water security look like in 2050? Critical elements from national to global perspectives

Shomar, B., & Rahman, M. (2026) · Water Security · doi:10.1016/j.wasec.2026.100204 · Cited by 4 · see citing works

Evolução das perspectivas sobre a Digitalização do Governo no Brasil de 2000 a 2023

Santos, M. R., Figueiredo, R. M. D. C., & Gomes, M. M. F. (2023) · REVES - Revista Relações Sociais · doi:10.18540/revesvl6iss4pp17777 · Cited by 3 · see citing works

What Is the Impact of Digital Transformation? A Bibliometric Analysis

Li, Y., He, G., Wang, D., Chen, Y., & Li, Z. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202340905001 · Cited by 3 · see citing works

Conceptual Model of Digitization of the Municipal Wastewater Disposal Systems

Shtepa, V., Junáková, N., Zaiets, N., Lutska, N., Chernysh, Y., & Bálintová, M. (2024) · Water · doi:10.3390/w16233483 · Cited by 3 · see citing works

Comparative analysis on deployment of Internet of Things in management of non-revenue water in water distribution networks

Obunga, P. O., Rwanga, S. S., & Dinka, M. O. (2025) · Digital Water · doi:10.1080/28375807.2025.2517573 · Cited by 2 · see citing works

Governance challenges in water data management: Insights from the application of the practitioner governance assessment tool in Palestine

Wawi, A., & Özerol, G. (2025) · Water Research X · doi:10.1016/j.wroa.2025.100399 · Cited by 2 · see citing works

Theoretical perspectives on cybersecurity challenges in critical water infrastructure: Insights from Africa and the United States

Adelani, F. A., Olatunde, T. M., & Oliha, J. S. (2024) · International Journal of Frontiers in Engineering and Technology Research · doi:10.53294/ijfetr.2024.6.2.0029 · Cited by 2 · see citing works

Application of smart technologies in water management analysis

Piaseckienė, G., & Antuchevičienė, J. (2024) · Mokslas - Lietuvos ateitis · doi:10.3846/mla.2024.21359 · Cited by 2 · see citing works

Potential of smart irrigation controllers for demand-side management of water distribution systems

Lunstad, N. T., & Sowby, R. B. (2025) · Energy Nexus · doi:10.1016/j.nexus.2025.100458 · Cited by 2 · see citing works

Harnessing the value of data using the systems thinking approach

Bhandari, P., Gong, J., Boyle, C., Law, K. M. Y., & Creighton, D. (2025) · Water Research X · doi:10.1016/j.wroa.2025.100385 · Cited by 2 · see citing works

Leveraging Spatiotemporal Redundancy for Sensor Data Imputation in Water Distribution Networks

Xu, A., Ostfeld, A., Shao, Y., Zhang, T., Chu, S., Tian, Y., & Jian, D. (2025) · Water Resources Research · doi:10.1029/2025wr040528 · Cited by 2 · see citing works

South–south cooperation and strong local teams as catalysts for innovation and digitalization within water operator partnerships

Kazeta, A., Nineka, A., Maserele, L., de Visser, J. K., Msuya, N., Rujomba, J., & van Eckeveld, A. C. (2025) · Journal of Water Sanitation and Hygiene for Development · doi:10.2166/washdev.2024.350 · Cited by 1 · see citing works

Governing Water Sustainably in the Digital Era: How Digital Infrastructure Enhances the Green Efficiency of Water Use in China

Xiao, D., Chen, J., & Yu, F. (2026) · Water Economics and Policy · doi:10.1142/s2382624x26500104 · Cited by 1 · see citing works

Author comment: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R0/PR1

Fu, G. (2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr1

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R1/PR8

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr8

Decision: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R1/PR10

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr10

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R1/PR7

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr7

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R2/PR13

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr13

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R2/PR12

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr12

Decision: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R0/PR5

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr5

Decision: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R2/PR15

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr15

Recommendation: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R2/PR14

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr14

Recommendation: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R0/PR4

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr4

Author comment: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R2/PR11

Fu, G. (2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr11

Author comment: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R1/PR6

Fu, G. (2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr6

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R0/PR3

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr3

Review: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R0/PR2

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr2

Recommendation: Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective — R1/PR9

(2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.15.pr9

DESIGN OF EMPOWERMENT MODEL FOR SMOKED FISH INDUSTRY THROUGH CUSTOMER RELATIONSHIP MANAGEMENT BASED ON THE ADAPTATION OF DIGITAL TRANSFORMATION IN SIDOARJO COAST

Siswati, E., Imamah, N., Inayah, N. L., & Kharismawati, I. (2024) · International Journal of Economics Business and Accounting Research (IJEBAR) · doi:10.29040/ijebar.v8i1.12005

Digital Transformation of a Local Waterworks: A Case Study of Rong Wua Dang Village, Thailand

Promta, J., Suwannakul, T., Prasit, P., Isradisaikul, C., & Chankong, T. (2024) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc59322.2024.10778866

Machine learning-driven predictive analysis of customer satisfaction in municipal water services

Singh, R., & Das, V. M. (2025) · Urban Water Journal · doi:10.1080/1573062x.2025.2527102

Emerging Trends in Challenges in Technological Innovation for Sustainable Water Management

Ullah, Q., Waqar, M., Sajad, M., Qasim, M. A., & Khomphet, T. (2025) · Springer eBooks · doi:10.1007/978-981-96-8548-6_9

REWIRING TRUST: DIGITALIZATION, TRANSPARENCY, AND CITIZEN PERCEPTIONS IN LOCAL PUBLIC SERVICESPreprint

Zafra-Gómez, E., Martín, Á. C., López‐Pérez, G., Pérez‐López, G., & Gómez, J. L. Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5667046

REWIRING TRUST: DIGITALIZATION, TRANSPARENCY, AND CITIZEN PERCEPTIONS IN LOCAL PUBLIC SERVICESPreprint

Zafra-Gómez, E., Martín, Á. C., López‐Pérez, G., Pérez‐López, G., & Gómez, J. L. Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5667044

Digital Expansion: Pathways for a Digital Ecology to Empower Water Resource Carrying Capacity

Gu, D., Hu, X., Chen, M., & Xie, Y. (2026) · Water Resources Management · doi:10.1007/s11269-026-04547-w

Managing Cybersecurity in the Water Sector: When the Human Factor Does Matter

Arràez, L. A., Kemp, S., & Rodríguez‐Roda, I. (2026) · Journal of Water Resources Planning and Management · doi:10.1061/jwrmd5.wreng-7075

Digitalization Initiative in Rural Indonesia’s Water Service Management: Exploring the Potential for Transaction Cost Reduction

Abbas, M. H. I., Istiqomah, N., & Dharma, B. A. (2026) · International Conference on Business and Industrial Research (ICBIR) · doi:10.1109/icbir69932.2026.11584885

Risk-based prioritisation of inspections and rehabilitation of wastewater pipes

Lundberg, R., Bergion, V., Moberg, F., Malm, A., & Lindhé, A. (2026) · Innovative Infrastructure Solutions · doi:10.1007/s41062-026-02801-z

Technical and governance conditions for digital transformation of urban drainage systems in a medium sized Chinese city

Fan, L., & Tan, B. (2026) · Discover Civil Engineering · doi:10.1007/s44290-026-00580-1

Effects of leak detection system on reducing non-revenue water losses in Tanzania: A case of Rombo water supply and sanitation authority

Venance, C., & Justin, E. (2026) · Science Mundi · doi:10.51867/scimundi.6.2.10

Identifying Innovation Directions in Web-Based Event Management Systems Through Bibliometric Analysis

Santoso, A. D., Tyas, S. H. Y., & Rahayu, P. (2026) · International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) · doi:10.1109/icadeis71120.2026.11644499

Operational intelligence for climate-resilient water systems: a systematic–integrative review of digital technologies, hydro-climatic constraints, and system-level resilience

Tung, P. V., Chung, N. T., Tinh, N. D., Thinh, P. N., & Mạnh, Đ. T. (2026) · Water Science & Technology · doi:10.2166/wst.2026.334

Toward transformational salt adaptation: coastal and near-coastal water manager attitudes and preferences

Lassiter, A., Tran, M. K., Chodzin, D., & Osorio, A. L. (2026) · Utilities Policy · doi:10.1016/j.jup.2026.102320

How SARS Became Different: Assessing the Impact of Digital Transformation on Service Delivery in Public Sector Organisations

Kela, S., Zikhali, A., Muroa, M., & Mutukwa, R. N. (2026) · Administratio publica. · doi:10.61967/adminpub.2026.34.2.4

Towards Sustainable Municipal Drinking-Water Services: Long-Term Efficiency, Management Models, and Spatial Interdependence in Andalusia, Spain

Garrido‐Rodríguez, J. C., & Rodríguez-Carlancha-Avivar, A. (2026) · Sustainability · doi:10.3390/su181910162

Making waves: A vision for digital water utilities

Arnell, M., Miltell, M., & Olsson, G. (2023) · Water Research X · doi:10.1016/j.wroa.2023.100170 · Cited by 26 · see citing works

A practical roadmap for the digital transformation of urban water systems – using insights from a Swedish utility to chart the path forward

Miltell, M., Okwori, E., Jennehag, U., Kardeby, V., & Arnell, M. (2025) · Water Practice & Technology · doi:10.2166/wpt.2025.081 · Cited by 6 · see citing works

A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies

Daniel, I., Ajami, N., Castelletti, A. F., Savic, D. A., Stewart, R. A., & Cominola, A. (2023) · npj Clean Water · doi:10.1038/s41545-023-00265-7 · Cited by 72 · see citing works

How is digital transformation impacting the water utility sector? - Insights from a worldwide online utility survey

Daniel, I., Ajami, N., Castelletti, A. F., Savic, D. A., Stewart, R., Becker, M., & Cominola, A. (2021) · doi:10.5194/egusphere-egu21-12540

Powershifts, organisational value, and water management: Digital transformation of Ghana's public water utility

Amankwaa, G., Heeks, R., & Browne, A. L. (2024) · Utilities Policy · doi:10.1016/j.jup.2024.101724 · Cited by 14 · see citing works