Secure data collection

Amidst rapid urban development, sustainable transportation solutions are required to meet the increasing demands for mobility whilst mitigating the potentially negative social, economic, and environmental impacts. This study analyses autonomous vehicles (AVs) as a potential transportation solution for smart and sustainable development. We identified privacy and cybersecurity risks of AVs as crucial to the development of smart and sustainable cities and examined the steps taken by governments around the world to address these risks. We highlight the literature that supports why AVs are essential for smart and sustainable development. We then identify the aspects of privacy and cybersecurity in AVs that are important for smart and sustainable development. Lastly, we review the efforts taken by the ​federal government in the US, the UK, China, Australia, Japan, Singapore, South Korea, Germany, France, and the EU, and by US state governments to address AV-related privacy and cybersecurity risks in-depth. Overall, the actions taken by governments to address privacy risks are mainly in the form of regulations or voluntary guidelines. To address cybersecurity risks, governments have mostly resorted to regulations that are not specific to AVs and are conducting research and fostering research collaborations with the private sector.

It presents the relation between competitive intelligence and information management. Its overall goal is to identify the contribution of information management to the collection competitive intelligence sub process. It develops a qualitative, exploratory and descriptive research which uses some techniques such as literature review and multiple case study analysis conducted in two competitive intelligence service providing companies. This study uses both the documentation for the routines of the competitive intelligence process as well as the interviews obtained from the staff involved in collecting inside the two firms studied as its source of evidence. It identifies as contributions of information management to the collection competitive intelligence sub process: collection planning, reliability of information, standards for information organization, precision on recovery as well as in obtaining information security. As a result, it proposes a representative model of the contributions of information management for the subprocess of collection. It considers that the procedures adopted by the companies are similar. It also shows that the sub process of collection is not evaluated and that the primary sources of information are little used by the two companies. The research finds that the most notable difference between the two cases is their use of auxiliary tools to the operation of the collection. The application of information management principles is important in order to develop and carry out the collection once the information is directly linked to competitive intelligence.