Browsing by Subject "Big data analytics"

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    Publication
    Open Access
    Internet related technologies in the auditing profession : a WOS bibliometric review of the past three decades and conceptual structure mapping
    (Universidad de Murcia, Servicio de Publicaciones, 2022) Mugwira, Tatenda
    Research on Internet-Related Technologies in the auditing profession has grown substantially over the past three decades; however, it is very fragmented. This study seeks to synthesize and provide a comprehensive overview of the literature. Using bibliometric techniques and content analysis, this study provides an exhaustive overview of the research on Internet-Related Technologies in the auditing profession. The study utilized bibliography from the Web of Science database spanning for three decades from 1990 to 2019. A total of 236 academic documents, written by 478 authors from 102 sources was retrieved and used for the analysis. HistCite and Biblioshiny in R were used to run the citation and network analysis. Influential journals, institutions, trending articles and important network collaborations were identified. Bibliographical coupling in a data visualization software (VOSviewer) and content analysis in Excel were used to identify the following six major research streams: (1) the use of big data analytics in the auditing profession, (2) impact of Internet Related Technologies on continuous auditing, (3) impacts of Internet Related Technologies on audit quality and efficiency (4) impact of Internet Related Technologies on fraud detection and risk assessment (5) blockchain and the auditing profession (6) cloud auditing and audit support systems. Potential important research avenues and practical implications of the research were also provided.
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    Publication
    Open Access
    Providing personalized energy management and awareness services for energy efficiency in smart buildings
    (MDPI, 2017-09-07) Fotopoulou, Eleni; Zafeiropoulos, Anastasios; Simsek, Umutcan; González Vidal, Aurora; Tsiolis, George; Gouvas, Panagiotis; Liapis, Paris; Fensel, Anna; Skarmeta Gómez, Antonio; Terroso Sáenz, Fernando; Ingeniería de la Información y las Comunicaciones; Facultades de la UMU::Facultad de Informática
    Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research.