Patrick Mikalef

19.4k citations
163 papers · 12.5k · 23 hit papers · h-index 47

Impact in

Papers in

Patrick Mikalef

158 papers receiving 12k citations

Patrick Mikalef's Hit Papers

Responsible artificial intelligence governance: A review and research framework 2025 · 181 citations
1810+1+3Years since publication2505007501k

Peers

Patrick Mikalef
Comparison fields: 5 of 158
  • Management Information Systems 3.1k
  • Strategy and Management 3.5k
  • Management of Technology and Innovation 1.3k
  • Information Systems and Management 1k
  • Marketing 978
Replace Shahriar Akter with:
Shahriar Akter Australia
Shivam Gupta France
Marijn Janssen Netherlands
Sunil Mithas United States
Sheshadri Chatterjee India
Helmut Krcmar Germany
Eric W.T. Ngai Hong Kong
Muhammad Turki Alshurideh Jordan
Erik Brynjolfsson United States
Yanqing Duan United Kingdom
Patrick Mikalef relative to Shahriar Akter Australia Shahriar Akter's profile →
Citations per field
00.5×1.7×
Shahriar Akter · 1×
Citations per year

Countries citing papers authored by Patrick Mikalef

Since Specialization
Citations

This map shows the geographic impact of Patrick Mikalef's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Mikalef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Mikalef more than expected).

Fields of papers citing papers by Patrick Mikalef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Mikalef. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Mikalef. The network helps show where Patrick Mikalef may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Mikalef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Mikalef Line = papers co-authored together Patrick Mikalef links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance
Hit paper breakdown →
20211015
2
Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA
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2016828
3
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities
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2019777
4
Big data analytics capabilities: a systematic literature review and research agenda
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2017671
5
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment
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2019628
6
The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies
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2020606
7
Artificial Intelligence and Business Value: a Literature Review
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2021605
8
Artificial intelligence in information systems research: A systematic literature review and research agenda
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2021546
9
Big data analytics and firm performance: Findings from a mixed-method approach
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2019528
10
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
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2023468
11
The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance
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2021315
12
Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities
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2020249
13
The role of information governance in big data analytics driven innovation
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2020200
14 2013196
15
Responsible artificial intelligence governance: A review and research framework
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2025181
16 2020175
17 2019173
18
Enabling AI capabilities in government agencies: A study of determinants for European municipalities
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2021167
19
Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
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2022164
20
How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies
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2021153

About Patrick Mikalef

Patrick Mikalef is a scholar working on Management Information Systems, Strategy and Management, Information Systems and Management, Management of Technology and Innovation and Artificial Intelligence, having authored 163 papers that have together received 12.5k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (30 papers), Big Data and Business Intelligence (28 papers), Information Technology Governance and Strategy (28 papers), Technology Adoption and User Behaviour (18 papers), Digital Marketing and Social Media (17 papers), Artificial Intelligence Applications (15 papers), Digital Innovation in Industries (12 papers) and Information Systems Theories and Implementation (9 papers). The work is most often cited by research in Management Information Systems (3.1k citations), Strategy and Management (3.5k citations), Management of Technology and Innovation (1.3k citations), Information Systems and Management (1k citations) and Marketing (978 citations). Patrick Mikalef has collaborated with scholars based in Norway, Greece and Netherlands. Frequent co-authors include John Krogstie, Adamantia G. Pateli, Ilias O. Pappas, Manjul Gupta, Michail N. Giannakos, George D. Lekakos, Maria Boura, Kieran Conboy, Eivind Kristoffersen and Jingyue Li. Their work appears in journals such as Journal of the Association for Information Systems, Information Systems Frontiers, Information & Management, Journal of Business Research and Technological Forecasting and Social Change.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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