World's Best Scientists 2026 revealed!
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Computer Science
Norway
2026

D-Index & Metrics

Computer Science

D-Index
59
Citations
17642
World Ranking
3370
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Norway Leader Award
  • 2025 - Research.com Computer Science in Norway Leader Award
  • 2022 - Research.com Computer Science in Norway Leader Award
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology

Overview

John Krogstie is affiliated with the Norwegian University of Science and Technology in Norway. Their research spans several fields, primarily focusing on Business, Management and Accounting, Engineering, and Computer Science. Within these broader disciplines, Krogstie's work has contributed significantly to subfields such as Management Information Systems, Media Technology, Information Systems, Strategy and Management, and Management Science and Operations Research.

Their research topics cover a range of areas including Big Data and Business Intelligence, Smart Cities and Technologies, Digital Transformation in Industry, Human Mobility and Location-Based Analysis, Business Process Modeling and Analysis, Green IT and Sustainability, as well as Digital Platforms and Economics.

Recent publications illustrate the scope of their research interests and collaborations. These include:

  • "Artificial Intelligence and Business Value: a Literature Review" (2021), published in Information Systems Frontiers
  • "The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures" (2022), published in Smart Cities
  • "Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability" (2020), published in Developments in the Built Environment
  • "Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review" (2023), published in Environmental Science and Ecotechnology
  • "Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities" (2020), published in European Journal of Information Systems

Krogstie frequently collaborates with a group of scholars, with the most frequent co-authors including Patrick Mikalef, Simon Elias Bibri, Sobah Abbas Petersen, Ilias O. Pappas, and Letizia Jaccheri.

Several academic venues have published Krogstie's work multiple times. These include Energy Informatics, Information Systems Frontiers, Smart Cities, Environmental Science and Ecotechnology, and Information & Management.

In addition to articles, Krogstie has contributed to book literature, with a publication titled Digital Transformation for a Sustainable Society in the 21st Century released by Springer Science+Business Media in 2020.

Among professional recognitions, John Krogstie is a member of the Norwegian Academy of Science and Letters in the Technology section.

Best Publications

  • Smart sustainable cities of the future: An extensive interdisciplinary literature review

    Simon Elias Bibri;John Krogstie

  • Big data analytics capabilities: a systematic literature review and research agenda

    Patrick Mikalef;Ilias O. Pappas;John Krogstie;Michail Giannakos

  • Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities

    Patrick Mikalef;John Krogstie;Ilias O. Pappas;Ilias O. Pappas;Paul A. Pavlou

  • Artificial Intelligence and Business Value: a Literature Review

    Ida Merete Enholm;Emmanouil Papagiannidis;Patrick Mikalef;John Krogstie

  • The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures

    Unknown

  • Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • Big data analytics and firm performance: Findings from a mixed-method approach

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • Process models representing knowledge for action: a revised quality framework

    John Krogstie;Guttorm Sindre;Håvard Jørgensen

  • Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

    Ilias O. Pappas;Patrick Mikalef;Michail N. Giannakos;John Krogstie

  • Mobile augmented reality for cultural heritage: A technology acceptance study

    Anne-Cecilie Haugstvedt;John Krogstie

  • Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities

    Patrick Mikalef;John Krogstie

  • The Emerging Data–Driven Smart City and its Innovative Applied Solutions for Sustainability: The Cases of London and Barcelona

    Simon Elias Bibri;John Krogstie

  • Defining quality aspects for conceptual models

    John Krogstie;Odd Ivar Lindland;Guttorm Sindre

  • Enterprise, Business-Process and Information Systems Modeling

    Terry Halpin;Selmin Nurcan;John Krogstie;Pnina Soffer

  • Towards a Deeper Understanding of Quality in Requirements Engineering

    John Krogstie;Odd Ivar Lindland;Guttorm Sindre

  • The role of information governance in big data analytics driven innovation

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda

    Kieran Conboy;Patrick Mikalef;Denis Dennehy;John Krogstie

  • Big data and business analytics: A research agenda for realizing business value

    Patrick Mikalef;Patrick Mikalef;Ilias O. Pappas;Ilias O. Pappas;John Krogstie;Paul A. Pavlou

  • Reviewing the flipped classroom research: reflections for computer science education

    Michail N. Giannakos;John Krogstie;Nikos Chrisochoides

  • Building dynamic capabilities by leveraging big data analytics: : The role of organizational inertia

    Patrick Mikalef;Rogier van de Wetering;John Krogstie

  • Active Knowledge Modeling of Enterprises

    Frank Lillehagen;John Krogstie

  • Developing an instrument to measure the adoption of mobile services

    Shang Gao;John Krogstie;Keng Siau

  • ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

    Simon Elias Bibri;John Krogstie

Frequent Co-Authors

Patrick Mikalef
Patrick Mikalef Norwegian University of Science and Technology
Michail N. Giannakos
Michail N. Giannakos Norwegian University of Science and Technology
Ilias O. Pappas
Ilias O. Pappas Norwegian University of Science and Technology
Pnina Soffer
Pnina Soffer University of Haifa
Barbara Pernici
Barbara Pernici Polytechnic University of Milan
Keng Siau
Keng Siau City University of Hong Kong
Henrik Madsen
Henrik Madsen Technical University of Denmark
Henderik A. Proper
Henderik A. Proper Association for Computing Machinery
Oscar Pastor
Oscar Pastor Universitat Politècnica de València
Pekka Abrahamsson
Pekka Abrahamsson Tampere University

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