Please note that server maintenance will be carried out on 8 December 2019 between 3 - 7 am (GMT). Website will be down during the maintenance hours. We apologise for any inconvenience caused. If you
have any questions or concerns, please contact email@example.com.
International Journal of Big Data Management
These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.
Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.
Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.
International Journal of Big Data Management (3 papers in press)
How Integrated are Cryptocurrencies by Moinak Maiti, Darko Vukovic, Viktor Krakovich, Maneesh Kumar Pandey Abstract: The present study focuses on five cryptocurrencies co-movements physiognomies both in time and frequency domain. The present study highlighted several interesting facts related to cryptocurrencies co-movements both in time and frequency domain that have high policy and investment implications. Overall wavelet coherence diagrams clearly indicate about the very short and long contagion effect among the cryptocurrency pairs for the whole study period. The contagion effect is different at different time scales. Finally wavelet clustering diagram indicates that by investing only in XBP and BitCoin cryptocurrencies investors are not going to get any benefit from diversification. This predictable co-movements pattern among the cryptocurrencies could be the basic investment strategies to gain maximum profit by diversifying the risk in cryptocurrency investments. Keywords: Cryptocurrencies; risk; return; wavelet. DOI: 10.1504/IJBDM.2019.10023285
Adaptation of Cryptocurrencies in Listed Companies: Empirical Findings of a CFO Survey in the German Capital Market by Bernd Britzelmaier, Lars Andraschko Abstract: This paper examines companies adaptation of cryptocurrencies and comprises a quantitative empirical study. The emerging potentials of cryptocurrencies but the gap of practical application and respective existing knowledge are addressed in this paper. Technological, economic, social and regulatory aspects are depicted in the literature review. In addition, a comprehensive status quo of on companies cryptocurrency adaptation research is provided and previous contributions are discussed. This study is based on an online questionnaire that was sent out to CFOs of German Prime Standard listed companies. As suggested in preceding papers the extended technology acceptance model (TAM2) is applied. Results indicate a very low level of adaptation and companies utilisation of the blockchain technology. Lower potentials are seen in cryptocurrencies than in the underlying blockchain technology. The main obstacles are to overcome regulatory uncertainty and high price volatility. Low transaction costs and the omission of intermediaries are seen as great potential benefits. Suggestions for further research and practical implications are provided. Keywords: Cryptocurrencies; Block-Chain; Digital transformation; Bitcoin; quantitative empirical study; CFO Survey; Extended Technology Acceptance Model; TAM2. DOI: 10.1504/IJBDM.2019.10023287
The Use of Data-Driven Technologies for Customer-Centric Marketing by Mark Anthony Camilleri Abstract: The latest technologies are shifting how businesses capture, analyse and distribute data from the individual users online activity. Therefore, this contribution critically reviews the latest developments on big data analytics and programmatic advertising. Moreover, it sheds light on the use of blockchain; as this distributed ledger technology provides secure, verified transactions among marketplace stakeholders. The findings suggest that the service providers are increasingly utilising data-driven technologies including programmatic advertising tools to target and re-target individuals online or on their mobile. However, individuals and organisations are becoming increasingly aware on data protection issues, as they often block marketers from tracking them and serving them ads. In conclusion, this contribution puts forward a theoretical framework that explains how, why, where and when practitioners are capturing, analysing and distributing data. In sum, it implies that the data-driven technologies are facilitating the businesses customer-centric marketing. Keywords: Big Data; Analytics; Programmatic Advertising; Blockchain; Customer-Centric Marketing; Data-Driven Marketing; Digital Media. DOI: 10.1504/IJBDM.2019.10023294