2023
DOI: 10.1080/25741292.2022.2162247
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Data Sharing in Disruptive Technologies: Lessons from Adoption of Autonomous Systems in Singapore

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Cited by 8 publications
(3 citation statements)
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“…Data Misuse is also one of the human factors linked to the cybersecurity issue in adopting information systems in healthcare. It refers to when a member of the organization steals and uses information for personal gain or corrupt practices [ 41 ]. Misuse of data may go unnoticed for a very long period and can severely harm an organization [ 42 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Data Misuse is also one of the human factors linked to the cybersecurity issue in adopting information systems in healthcare. It refers to when a member of the organization steals and uses information for personal gain or corrupt practices [ 41 ]. Misuse of data may go unnoticed for a very long period and can severely harm an organization [ 42 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The organizational environment's resources, such as technology, help to enhance learning effectiveness, and the integration of digital tools into classroom instruction has become a trend in modern teaching to help students learn effectively [63], thus enhancing the information-sharing process. According to [64], to remove obstacles to data sharing, the Singaporean government has implemented rules and procedures for autonomous systems. Information sharing has been found to significantly boost organizational performance, and a well-organized flow of information sharing makes it easier for an organization to respond swiftly to the market's changing needs [31].…”
Section: Innovation Diffusion Theorymentioning
confidence: 99%
“…This in turn raises the question if and how the data readiness of firms may be promoted alongside the implementation of a regulatory policy of data sharing. In this respect, recent works on the obstacles of data sharing in disruptive technologies, e.g., autonomous systems, suggest that nudging, nodality and treasury policy tools such as industry guidelines in building robust data infrastructures, regulatory data-sharing sandboxes, or public-private collaborations may promote the data readiness of companies thereby decreasing technical, economic, and political barriers for data sharing (Tan et al, 2023;Tan & Crompvoets, 2022).…”
Section: Ideas For Further Researchmentioning
confidence: 99%