International Journal of Big Data Management

Open AccessThis journal also publishes Open Access articles
International Journal of Big Data Management (IJBDM)
Editor in Chief
Dr. Riad Shams
ISSN online
2631-8687
ISSN print
2631-8679
2 issues per year

Subscription price

Big data research has attracted considerable academic attention. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. In this context, IJBDM encourages research at the intersection of strategic management and big data analytics to understand how large amounts of data could systematically and strategically be managed, in order to improve the practical implications of data for managerial decision making, along with socio-economic development.

Topics covered include

Any study would be relevant to IJBDM that focuses on the strategic management of data analytics to optimise the implications of large amounts of data for managerial decision making. Some examples of prospective thematic areas are presented below; however, they are not exhaustive:

  • Different strategic management theories and concepts (i.e. resource-based view, dynamic capabilities, organisational sustainability, organisational ambidexterity, etc.) and big data management
  • Insights from different management perspectives (e.g. corporate social responsibility, cause-related marketing, public relations, HRM, mergers and acquisitions, promotion management, consumer behaviour, entrepreneurship, international business, etc.) for big data exploration, visualisation and analysis
  • Stakeholder relationship management and marketing for big data management
  • Impact of cross-cultural management on big data analytics
  • Ethical concerns, data privacy and legal issues in big data management
  • Timely recognition and proactive categorisation of increasing volumes of data from multiple data streams/sources
  • Using common business/management terms to scale big data, so that the data analysis terms can be understood easily across different departments of an organisation
  • Effectual interactive (large data) exploration, visualisation, analysis and exploitation techniques for large and dynamic sets of volatile raw data, based on a stable method for information abstraction, sampling and summarisation for addressing management problems
  • IT-enhanced business and management platforms and their implications for big data management
  • Knowledge management and knowledge transfer and big data management
  • Cross-disciplinary and cross-functional studies on the strategic management of big data
  • Comparative studies across different markets, sectors and industries to underpin the big data management process
  • Influence of different political, environmental and non-government perspectives on big data analytics and management
  • Public and private sector collaboration and big data management
  • Any other relevant perspectives

Objectives

IJBDM aims to be a flagship journal in the field of strategic management of big data. It intends to attract rigorous research from scholars all over the world that will significantly contribute to the evolution of novel thought in the strategic management of big data research and practice. IJBDM disseminates cutting-edge theoretical developments and phenomena including best practices that are instrumental to bridging the research and practice gap in data management, with an aim of undertaking accurate management decisions, at the right time, centred on the right dataset and focusing on the right target audience.

Readership

IJBDM is essential reading for academics, research students and professionals at all levels in public and private sectors for access to novel insights into the strategic management of big data. IJBDM articles are valuable in understanding how we could establish a simplified data management system to develop greater insights from ongoing inflows and outflows of large amounts of data.

Contents

IJBDM is interested in original conceptual and empirical (qualitative, quantitative or mixed) studies on the strategic management of big data, and publishes research papers; viewpoints; practical (reflection on experience) papers; conceptual papers; case studies; systematic literature reviews; general reviews; thought-leadership commentary; policy dialogue; essays; short generative interest papers to introduce new ideas and debates on timely topics; book reviews; interviews with and bio-notes of elite scholars of the field; news and information.

Browse issues

IJBDM is indexed in:

Editor in Chief

  • Shams, Riad, Northumbria University, UK
    (shamsriad@gmail.com)

Editor

  • Nair, Suja R., Educe Micro Research, India

Associate Editors

  • Hasan, Fakhrul, Northumbria University, UK
  • Rangaiah, Pramod K. B., Uppsala University, Sweden
  • Siddappa, Sheela, Robert Bosch Engineering and Business Solutions Private Limited, India

Advisory Board

  • Akter, Shahriar, University of Wollongong, Australia
  • Belyaeva, Zhanna S., Ural Federal University, Russian Federation
  • Contò, Francesco, University of Foggia, Italy
  • Kotabe, Masaaki (Mike), Temple University, USA
  • Thrassou, Alkis, University of Nicosia, Cyprus
  • Vrontis, Demetris, University of Nicosia, Cyprus

Editorial Board Members

  • Battisti, Enrico, University of Turin, Italy
  • Birkenkrahe, Marcus Speh, Berlin School of Economics and Law, Germany
  • Camilleri, Mark Anthony, University of Malta, Malta
  • Comai, Alessandro, International University of Japan, Japan
  • Ferraris, Alberto, University of Turin, Italy
  • Fiore, Mariantonietta, University of Foggia, Italy
  • Galati, Antonino, Università degli Studi di Palermo, Italy
  • Santoro, Gabriele, University of Turin, Italy
  • Vukovic, Darko B., Saint Petersburg School of Economics and Management, HSE; Serbian Academy of Sciences and Arts Geographical Institute, Russian Federation
  • Yousaf, Anish, ICFAI Business School, India

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    • Submission process

    • All articles for this journal must be submitted using our online submissions system.
    • View Author guidelines.

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