Print Email Facebook Twitter Steering the adoption of Standard Business Reporting for cross domain information exchange Title Steering the adoption of Standard Business Reporting for cross domain information exchange Author Bharosa, Nitesh (TU Delft Information and Communication Technology) Hietbrink, Frans (Tax and Customs administration) Mosterd, Lars (Student TU Delft) Van Oosterhout, Ralf (Thauris, The Hague) Contributor Hinnant, Charles C. (editor) Zuiderwijk, Anneke (editor) Date 2018 Abstract Over the years, several governments around the world have introduced a version of Standard Business Reporting (SBR) for information exchange with public agencies. Their main goals are to ease the reporting burden for businesses and the regulatory burden for government agencies. This paper takes a look at the adoption numbers in the Netherlands over multiple years. The objective of this paper is to analyse the adoption rates and explain them by revealing the steering instruments employed by government agencies looking to positive-ly influence SBR adoption. Our dataset consists of the total number of reports submitted using SBR towards the Tax Office, Chamber of Commerce and Industry, and the Education Executive Agency. Quantitative data analysis reveals different adoption rates and patterns in the aforementioned reporting chains. We found that adoption was positively influenced using a deliberate and fine-tuned set of steering instruments, including public-private governance, open communication and knowledge exchange, mandation, software community engagement and technical configuration (use of interfaces that match the sector specific reporting capabilities). When considering these steering instruments, policy makers and practitioners need to balance progressive standard setting and steady implementation. Subject AdoptionsB2GDigital infrastructuresG2GInter-organisational information systemsQualified information exchangeStandard business reportingXBRL To reference this document use: http://resolver.tudelft.nl/uuid:e02dba3f-4919-487a-ae42-c90eb9cd14cd DOI https://doi.org/10.1145/3209281.3209325 Publisher Association for Computing Machinery (ACM), New York, NY, USA ISBN 978-1-4503-6526-0 Source Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 Event 19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018, 2018-05-30 → 2018-06-01, Delf, Netherlands Part of collection Institutional Repository Document type conference paper Rights © 2018 Nitesh Bharosa, Frans Hietbrink, Lars Mosterd, Ralf Van Oosterhout Files PDF a16_bharosa.pdf 666.96 KB Close viewer /islandora/object/uuid:e02dba3f-4919-487a-ae42-c90eb9cd14cd/datastream/OBJ/view