Today’s cities face numerous challenges due to climate change and urbanization. The concept of a smart city aims to help cities to address these challenges by adapting modern information and communication technology. Smart mobility and transportation form one important aspect of smart cities. Inefficient mobility in cities can lead to problems such as traffic congestion, which results in frustration for residents and a decrease in the quality of life. Against the backdrop of global warming, cities also strive to reduce CO2 emissions, an attempt which requires sustainable and novel mobility concepts. Blockchain is a current technology, said to have huge potential, that is being investigated for application in many facets of smart cities. In the context of smart mobility, blockchain can be used for transactions relating to ridesharing and electric charging, handling of interactions of platoon members, or serving as a foundation for communication between vehicles. Although initial research about this topic exists, it is distributed among different use-cases and applications. This article conducts a systematic literature review to analyze blockchain’s role in mobility and transportation in smart cities, and its potential to increase efficiency in these areas. With this review, we aim to consolidate and summarize the current knowledge about this topic. As a first result, we present the findings from our literature review, which can be divided into five categories of use-cases. We also present a platform for further research about this emerging topic by identifying promising future research avenues. For this purpose, we derive a future research agenda based on our findings.
The amount of data and the speed at which it increases grows rapidly. Companies and public institutions try to manage this increasing flood of data effectively and in a manner that adds value. Besides, the companies and public institutions also join corporate networks or platforms to increase their value by sharing their data. The evolution of traditional business intelligence into business analytics, including real-time analysis, increases the high demand for qualitative data. Data governance tries to create a framework to manage these issues. This interdisciplinary research field has now been in existence for nearly two decades. With this contribution, we attempt to provide the research field with a blueprint. This paper aims to explore the past to understand the present and shape the future of data governance. We give an overview of how the research field changed from 2005 to 2020, commenting on its development and pointing out future research paths based on our findings. We, therefore, conducted a bibliometric analysis to describe the research field’s bibliometric and intellectual structure. The findings show that for years the research field concentrated on a few topics, which currently undergoes change and has led to an opening up of the research field. Finally, the results are discussed and future research strands are highlighted
Blockchain is a disruptive technology that is applied in many different areas (Atici, 2022). Non-fungible tokens (NFTs) are becoming increasingly popular and are already widely used in practice. New use cases for NFTs are emerging all the time. Due to the fact that they are unique, NFTs can prevent counterfeiting, as each token contains the digital signature of the owner (Rehman, Zainab, Imran, & Bawany, 2021). For the use of NFTs to advance in the institutional setting, the opportunities for using NFTs need to be clearly explored. Based on a systematic literature review (SLR), this paper describes and lists the most discussed use cases for NFTs in the scientific literature. The most discussed use cases are art and collectibles, video games, and applications in the metaverse. Another contribution of this article is a future research agenda that contains open questions in the field of NFTs. It aims to provide researchers with promising research avenues to stimulate future research. The results show that there are still challenges in the field of NFT that need to be further explored. In summary, our article aims to equip both researchers and practitioners with an initial overview and knowledge about NFTs, including their applications and challenges.
Data build the foundation for many modern technologies like artificial intelligence. Data are of increasing relevance for companies. Nowadays, however, the management of data is no longer only an intraorganizational phenomenon. To get access to more data, companies are increasingly willing to share their own data with other organizations. Furthermore, decentralized technologies like blockchain are supposed to have potentials for the management, storage, or sharing of data. This study aims to investigate three current trends of decentralization within data management: Interorganizational data governance, data ecosystems, and blockchain-based data management. We provide an initial overview of these developments and present avenues for future research
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