• Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach 

      Mikalef, Patrick; Conboy, Kieran; Krogstie, John (Peer reviewed; Journal article, 2021)
      Over the past few decades research has predominantly focused on the technical aspects and theoretical challenges of Artificial Intelligence (AI). With the deluge of data and the increase in processing power, businesses are ...
    • Artificial intelligence in information systems research: A systematic literature review and research agenda 

      Collins, Christopher; Dennehy, Denis; Conboy, Kieran; Mikalef, Patrick (Journal article; Peer reviewed, 2021)
      AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, ...
    • Artificial Intelligence in Information Systems: State of the Art and Research Roadmap 

      Ågerfalk, Pär J.; Conboy, Kieran; Crowston, Kevin; Lundström, Jenny S. Z. Eriksson; Jarvenpaa, Sirkka; Mikalef, Patrick; Ram, Sudha (Journal article; Peer reviewed, 2021)
      Many would argue that artificial intelligence (AI) is not only technology but also a paradigmatic shift in the relationship between humans and machines. Much literature assumes that AI-powered practices substantially differ ...
    • From Responsible AI Governance to Competitive Performance: The Mediating Role of Knowledge Management Capabilities 

      Papagiannidis, Emmanouil; Mikalef, Patrick; Krogstie, John; Conboy, Kieran (Journal article; Peer reviewed, 2022)
      In a constantly changing environment, researchers and practitioners are concerned with the issue of whether responsible artificial intelligence (AI) governance can help build competitive advantage. Responsible AI governance ...
    • How Fujitsu and Four Fortune 500 Companies Managed Time Complexities Using Organizational Agility 

      Gerster, Daniel; Dremel, Christian; Conboy, Kieran; Mayer, Robert; vom Brocke, Jan (Journal article, 2021)
    • Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy 

      Dwivedi, Yogesh K.; Hughes, Laurie; Baabdullah, Abdullah M.; Ribeiro-Navarrete, Samuel; Giannakis, Mihalis; Al-Debei, Mutaz M.; Dennehy, Denis; Metri, Bhimaraya; Buhalis, Dimitrios; Cheung, Christy M.K.; Conboy, Kieran; Doyle, Ronan; Dubey, Rameshwar; Dutot, Vincent; Felix, Reto; Goyal, D.P.; Gustafsson, Anders; Hinsch, Chris; Jebabli, Ikram; Janssen, Marijn; Kim, Young-Gab; Kim, Jooyoung; Koos, Stefan; Kreps, David; Kshetri, Nir; Kumar, Vikram; Ooi, Keng-Boon; Papagiannidis, Savvas; Pappas, Ilias; Polyviou, Ariana; Park, Sang-Min; Pandey, Neeraj; Queiroz, Maciel M.; Raman, Ramakrishnan; Rauschnabel, Philipp A.; Shirish, Anuragini; Sigala, Marianna; Spanaki, Konstantina; Wei-Han Tan, Garry; Tiwari, Manoj Kumar; Viglia, Giampaolo; Wamba, Samuel Fosso (Peer reviewed; Journal article, 2022)
      The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual ...
    • Operationalizing Agile Methods: Examining Coherence in Large-Scale Agile Transformations 

      Carroll, Noël; Bjørnson, Finn Olav; Dingsøyr, Torgeir; Rolland, Knut-H.; Conboy, Kieran (Chapter, 2020)
      Following the highly pervasive and effective use of agile methods for software development, attention has now turned to the much more difficult challenge of applying these methods in large scale, organization-wide development. ...
    • Responsible AI for Digital Health: a Synthesis and a Research Agenda 

      Trocin, Cristina; Mikalef, Patrick; Papamitsiou, Zacharoula; Conboy, Kieran (Journal article; Peer reviewed, 2021)
      Responsible AI is concerned with the design, implementation and use of ethical, transparent, and accountable AI technology in order to reduce biases, promote fairness, equality, and to help facilitate interpretability and ...
    • Software startups-A research agenda 

      Unterkalmsteiner, Michael; Abrahamsson, Pekka Kalevi; Wang, Xiaofeng; Nguyen-Duc, Anh; Shah, Syed; Bajwa, Sohaib Shahid; Baltes, Guido H; Conboy, Kieran; Cullina, Eoin; Dennehy, Denis; Edison, Henry; Fernandez-Sanchez, Carlos; Garbajosa, Juan; Gorschek, Tony; Klotins, Eriks; Hokkanen, Laura; Kon, Fabio; Lunesu, Ilaria; Marchesi, Michele; Morgan, Lorraine; Oivo, Markku; Selig, Christoph; Seppänen, Pertti; Sweetman, Roger; Tyrväinen, Pasi; Ungerer, Christina; Yague, Agustin (Peer reviewed; Journal article, 2016)
      Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models. Softwarestartups are quite distinct from ...
    • Uncovering the dark side of AI-based decision-making: A case study in a B2B context 

      Papagiannidis, Emmanouil; Mikalef, Patrik; Conboy, Kieran; van de wetering, Rogier (Peer reviewed; Journal article, 2023)
      Over the last decade, many organizations worldwide have been assimilating Artificial Intelligence (AI) technologies to increase their productivity and attain a competitive advantage. As with any technology, intelligence ...
    • Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda 

      Conboy, Kieran; Mikalef, Patrick; Dennehy, Denis; Krogstie, John (Journal article; Peer reviewed, 2019)
      While the topic of analytics is rapidly growing in popularity across various domains, there is still a relatively low amount of empirical work in the field of operations research (OR). While studies of various technical ...