• Conference Date
  • 14-17 June 2021
  • Hannover, Germany

Topics of interest | Submission guidelines | Important dates | Organizers and Chairs | Program Committee

Evoked by recent trends, such as big data, data science or cloud computing, the digitization of organizations necessitates new approaches for the planning and engineering of IS in today’s data-driven world. In many cases, sophisticated approaches are required to overcome the data-intensive nature of such endeavors. At this point, established technologies, as they have been used for many years, are reaching their limits. In the flux of digitization novel and innovative technologies and concepts, such as automation, cloudification, continuous integration, micro services, model-driven engineering or decision support systems appear to be promising “enablers” to meet the current demands. To overcome their realization shortcomings and to create competitive advantages in data-intensive scenarios, a plethora of facets must be handled. Hence, in this workshop, we welcome a variety of research approaches including, but not limited to, theoretical articles, reviews and use case studies that are related to the generation of competitive advantages through big data as well as the use of innovative technologies for planning, engineering, deploying, testing, benchmarking and operating data-intensive systems, with the aim of facilitating their dissemination and increasing their effectiveness.

Short URL: DigBD.BISconf.org


Topics of interest

  • Big Data and the Influence on Digitization
  • Methods, Frameworks, Techniques and Tools to Facilitate Big Data Endeavors and Increase Their Successfulness
  • Approaches to Obtain Competitive Advantages Using Big Data Technologies
  • Planning and Design of Big Data Applications
  • Implementation of Big Data Applications
  • Deployment of Big Data Applications
  • Quality Assurance of Big Data Applications
  • Operation of Big Data Applications
  • Data Collection and Data Quality Assessment
  • Data Governance

Submission guidelines

  • Full papers: max. 12 pages
  • Research-in-progress papers: max. 6 pages

Papers must be submitted in PDF format according to Springer LNBIP template.

Submission system is available at EasyChair.

Papers approved for presentation at DigBD 2021 will be published in BIS 2021 workshop post-conference proceedings, as a volume in Springer’s Lecture Notes in Business Information Processing (LNBIP) series. BIS 2021 Workshops proceedings will be distributed to workshop participants by regular mail.

Workshop papers will be made available in electronic form by the BIS organizers to all workshop participants (and only to them) directly before the conference.

Each paper submitted to BIS workshop will be reviewed by at least three referees. At least one author of each paper needs to register for the conference for the paper to be included in proceedings. Workshop registration entitles to participate in the conference, as well as in all workshops and tutorials held in conjunction with it.

Important dates

  • April 30, 2021 (extended) – submission deadline for papers
  • May 21, 2021 – notification of acceptance/rejection
  • May 30, 2021 – submission of final papers (for presentation)
  • June 14, 2021 – the workshop

Organizers and Chairs

  • Daniel Staegemann (chair), Otto-von-Guericke University Magdeburg
  • Matthias Volk (chair), Otto-von-Guericke University Magdeburg
  • Naoum Jamous (chair), Otto-von-Guericke University Magdeburg

Program Committee

  • Mohammad Abdallah, Al-Zaytoonah University of Jordan
  • Darlan Arruda, SSENSE
  • Samuel Fosso Wamba, Toulouse Business School
  • Bernhard Heiden, FH Kärnten
  • Johannes Hintsch, T-Systems International GmbH
  • Naoum Jamous, Otto-von-Guericke University Magdeburg
  • Matthias Pohl, Otto-von-Guericke University Magdeburg
  • Hosseinzadeh Hariri Reihaneh, Oakland University
  • Zaher Al-Sai, Universiti Sains Malaysia
  • Daniel Staegemann, Otto-von-Guericke University Magdeburg
  • Marcus Thiel, Otto-von-Guericke University Magdeburg
  • Matthias Volk, Otto-von-Guericke University Magdeburg