Emerging privacy challenges and approaches in CAV systems

The growth of Internet-connected devices, Internet-enabled services and Internet of Things systems continues at a rapid pace, and their application to transport systems is heralded as game-changing. Numerous developing CAV (Connected and Autonomous Vehicle) functions, such as traffic planning, optimisation, management, safety-critical and cooperative autonomous driving applications, rely on data from various sources. The efficacy of these functions is highly dependent on the dimensionality, amount and accuracy of the data being shared. It holds, in general, that the greater the amount of data available, the greater the efficacy of the function. However, much of this data is privacy-sensitive, including personal, commercial and research data. Location data and its correlation with identity and temporal data can help infer other personal information, such as home/work locations, age, job, behavioural features, habits, social relationships. This work categorises the emerging privacy challenges and solutions for CAV systems and identifies the knowledge gap for future research, which will minimise and mitigate privacy concerns without hampering the efficacy of the functions

Platform Rules: Multi-Sided Platforms as Regulators

This paper provides a basic conceptual framework for interpreting non-price instruments used by multi-sided platforms (MSPs) by analogizing MSPs as "private regulators" who regulate access to and interactions around the platform. We present evidence on Facebook, TopCoder, Roppongi Hills and Harvard Business School to document the "regulatory" role played by MSPs. We find MSPs use nuanced combinations of legal, technological, informational and other instruments (including price-setting) to implement desired outcomes. Non-price instruments were very much at the core of MSP strategies.Platforms, regulation, network effects, distributed innovation

The Freetown Declaration: Countercyclical Policy for Africa

In August 2009 the African finance ministers issued the Freetown Declaration, in which they committed their governments to “implement fiscal stimulus measures” to counter the effects of the international financial crisis on their economies.� This paper analyzes the feasibility of realizing this commitment. It considers the availability of policy instruments in the sub-Saharan countries for countercyclical intervention.� On the basis of this, the paper proposes a fiscal stimulus tailored to the conditions and constrains of the countries of the region.� In a majority of the countries the fiscal expansion could be financed domestically, in other countries governments would require additional external funding, and only for a few countries would a stimulus not be appropriate. >> Watch an interview with John Weeks on the economic basis ofsocial democracy

Blockchain-Based Decentralized Knowledge Marketplace Using Active Inference

A knowledge market can be described as a type of market where there is a consistent supply of data to satisfy the demand for information and is responsible for the mapping of potential problem solvers with the entities which need these solutions. It is possible to define them as value-exchange systems in which the dynamic features of the creation and exchange of intellectual assets serve as the fundamental drivers of the frequency, nature, and outcomes of interactions among various stakeholders. Furthermore, the provision of financial backing for research is an essential component in the process of developing a knowledge market that is capable of enduring over time, and it is also an essential driver of the progression of scientific investigation. This paper underlines flaws associated with the conventional knowledge-based market, including but not limited to excessive financing concentration, ineffective information exchange, a lack of security, mapping of entities, etc. The authors present a decentralized framework for the knowledge marketplace incorporating technologies such as blockchain, active inference, zero-knowledge proof, etc. The proposed decentralized framework provides not only an efficient mapping mechanism to map entities in the marketplace but also a more secure and controlled way to share knowledge and services among various stakeholders

Monetizing Car Data: A Literature Review on Data-Driven Business Models in the Connected Car Domain

The amount of data generated by a single modern vehicle is exploding. Consequently, the entire global automotive industry is facing the question of how to monetize this valuable data. Triggered by the connectivity trend, data-driven business models disrupt the automotive ecosystem by changing mobility behavior, proliferation of technical enablers, new strategic collaborations, and shifting revenue streams. In this study, we analyze the existing body of literature on data-driven business models in the connected car domain and structure it according to four dimensions---value proposition, value architecture, value network, and value finance. Thereby, we contribute to the business model research by providing a comprehensive overview and categorization of existing works in this area and laying the foundation for future research

Putting your money where your mouth is: monetizing knowledge using communication roles

In this paper we suggest that knowledge flows constitute the antecedences of value creation by means of its communication component. We bridge accounting theory with communication theory and explain how the role of communication is instrumental in capturing the knowledge value and allows for a connection with monetary value. Knowledge is increasingly accepted as a source of value creation and a differentiator between firms. Building on the perspective of knowledge as a flow, and postulating that value is based on knowledge use – rather than knowledge possession – this paper address the research question: How can we express knowledge in such a way that it can be monetized and opened up for specific managerial interventions? Extant literature on organizational communication roles emphasizes the role of boundary-spanners in search and combination of experience and tacit knowledge. Individual nodes in the organizations network can possess knowledge. However, to be valuable the knowledge resources need to be deployed and utilized. The use of knowledge will involve the communication of this knowledge through ties to other nodes. The paper proposes that the boundary-spanning roles provide the focal point for such monetization efforts. The contribution of this paper is five propositions for future research on how management accounting and control systems can be brought to bear in their governable and calculable aspects if communication functions are given more attention

IT-Sicherheit im Wettstreit um die erste autonome Fahrzeugflotte: Ein Diffusionsmodell

In der Fahrzeugindustrie halten aktuell eine Reihe von Neuerungen Ein‑ zug. So sorgen neben dem Umstieg auf E‑Mobilität hochtechnologische Assistenzsysteme in Fahrzeugen für einschneidende Veränderungen. Eine weitere mit diesen neuen Systemen einhergehende Neuerung ist, dass Autos nun wie Smartphones mit regelmäßigen Updates versorgt werden. Der Hersteller Tesla behauptet sogar, seine Autos in Zukunft per Softwareupdate zum vollautonomen Fahrzeug upgraden zu können. Diese Entwicklung kann zu einer nicht nachhaltigen und risikoreichen Entwicklung der IT‑Security und der Umweltbilanz des Fahrzeugsektors führen. IT security and competition in the automotive industry A diffusion model Today’s automotive industry is changing rapidly. The slow movement toward electric mobility and highly technical assistant systems chal- lenge old hierarchies. Another innovation associated with the latter is that cars now receive regular software updates, just like smartphones. Tesla even claims to be able to upgrade their cars to fully autonomous driving in the future. This could lead to an unsustainable and risky development of IT security and the environmental performance of the vehicle sector