Journal updates

  • Call for Papers: Decision Support Systems and Intelligent Algorithms for Industrial IoT and Big Data (Submission Deadline October 10th 2021)

    This topical collection aims to offer a systematic and most up-to-date overview, latest research trends, advanced research and mixed method approaches of this new research field. It aims to provide innovative Decision Support approaches, models, systems and algorithms to effectively support decision making in IIoT environments. It also includes platforms, applications and services for IIoT and Big Data, such as Industry 4.0, supply chain and smart manufacturing. The user and organizational adoption are also amongst our interests. It will provide a leading forum for disseminating the latest results of research, development, and applications in the area of Decision Support Systems and Algorithms (DSS) in IIoT and Big Data Environments. Advanced IIoT and its applications/services in Industry 4.0, integrated systems and smart algorithms are largely welcome. We select some top papers from IoTBDS 2021 http://iotbds.org/, COMPLEXIS 2021 http://www.complexis.org/ and IIoTBDSC 2021 http://iiotbdsc.com/, which require an extensive improvement prior submission. We also welcome a small number of high-quality paper submissions that are not presented at these conferences.

    Guest Editors: Prof. Victor Chang (Lead Guest Editor), Prof. Víctor Méndez Muñoz, Prof. Reinhold Behringer
    Submission Deadline: October 10th, 2021
    Download full details here:  Decision Support Systems and Intelligent Algorithms for Industrial IoT and Big Data

  • Read and Publish (Springer Compact) Agreements

    If your institution has a Read and Publish (Springer Compact) agreement, you may publish your article open access - at no cost to you - in more than 1,850 Springer hybrid journals, including the Journal of Grid Computing. In addition, you can enjoy full access to all Springer subscription journal content...

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.