An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia
Open accessAbstract
Artificial Intelligence (AI) has been suggested to have transformative potential for public sector organizations through enabling increased productivity and novel ways to deliver public services. In order to materialize the transformative potential of AI, public sector organizations need to successfully assimilate AI in their operational activities. However, AI assimilation in the public sector appears to be fragmented and lagging the private sector, and the phenomena has really limited attention from academic research community. To address this gap, we adopt the case study approach to explore three Saudi-Arabian public sector organizations and analyze the results using the attention-based view of the organization (ABV) as the theoretical lens. This study elucidates the challenges related AI assimilation in public sector in terms of how organizational attention is focused situated and distributed during the assimilation process. Five key challenges emerged from the cases studied, namely (i) misalignment between AI and management decision-making, (ii) tensions with linguistics and national culture, (iii) developing and implementing AI infrastructure, (iv) data integrity and sharing, and (v) ethical and governance concerns. The findings reveal a re-enforcing relationship between the situated attention and structural distribution of attention that can accelerate the successful assimilation of AI in public sector organizations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789 · see citing works
(2009) · Cited by 21,330 · see citing works
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455 · see citing works
The Art of Case Study Research
Johnson, K. E., & Stake, R. E. (1996) · Modern Language Journal · doi:10.2307/329758 · Cited by 15,830 · see citing works
Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013) · Organizational Research Methods · doi:10.1177/1094428112452151 · Cited by 13,227 · see citing works
The Discovery of Grounded Theory
Glaser, B. G., & Strauss, A. L. (2017) · Routledge eBooks · doi:10.4324/9780203793206-1 · Cited by 8,342 · see citing works
The art of case study research
Savolainen, R. (1996) · Library & Information Science Research · doi:10.1016/s0740-8188(96)90053-5 · Cited by 8,168 · see citing works
Qualitative Quality: Eight “Big-Tent” Criteria for Excellent Qualitative Research
Tracy, S. J. (2010) · Qualitative Inquiry · doi:10.1177/1077800410383121 · Cited by 7,536 · cited 1× · see citing works
“Altogether this reinforces the rigor of qualitative research (Pratt, 2008; Tracy, 2010).”
Background(1993) · Medical Entomology and Zoology · Cited by 6,226 · see citing works
A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1
Klein, H. K., & Myers, M. D. (1999) · MIS Quarterly · doi:10.2307/249410 · Cited by 5,263 · see citing works
Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization.
Brown, M., & Simon, H. A. (1978) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2065048 · Cited by 4,807 · see citing works
The Case Research Strategy in Studies of Information Systems
Benbasat, I., Goldstein, D. K., & Mead, M. (1987) · MIS Quarterly · doi:10.2307/248684 · Cited by 4,716 · see citing works
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · cited 4× · see citing works
“…sectors, ranging from reinventing business models to rede-signing the customer experience to decision-making (Duan et al., 2019; Iglesias, Markovic, & Rialp, 2019) to changing the nature and the future of work (Dwivedi et al., 2019; Manyika et al., 2017; Schwartz, Hagel, Wool, & Monahan, 2019).”
BackgroundInfluentialThe second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,401 · see citing works
Studying Information Technology in Organizations: Research Approaches and Assumptions
Orlikowski, W. J., & Baroudi, J. J. (1991) · Information Systems Research · doi:10.1287/isre.2.1.1 · Cited by 3,351 · see citing works
Sampling Knowledge: The Hermeneutics of Snowball Sampling in Qualitative Research
Noy, C. (2008) · International Journal of Social Research Methodology · doi:10.1080/13645570701401305 · Cited by 3,336 · see citing works
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
Philip Chen, C. L., & Zhang, C.-Y. (2014) · Information Sciences · doi:10.1016/j.ins.2014.01.015 · Cited by 3,047 · see citing works
A simple method to assess and report thematic saturation in qualitative research
Guest, G., Namey, E., & Chen, M. (2020) · PLOS ONE · doi:10.1371/journal.pone.0232076 · Cited by 2,929 · see citing works
Information Technology Implementation Research: A Technological Diffusion Approach
Cooper, R. B., & Zmud, R. W. (1990) · Management Science · doi:10.1287/mnsc.36.2.123 · Cited by 2,773 · see citing works
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628 · cited 3× · see citing works
“…across the public and private sectors, ranging from reinventing business models to rede-signing the customer experience to decision-making (Duan et al., 2019; Iglesias, Markovic, & Rialp, 2019) to changing the nature and the future of work (Dwivedi et al., 2019; Manyika et al., 2017;…”
BackgroundSnowball Sampling: A Purposeful Method of Sampling in Qualitative Research
Naderifar, M., Goli, H., & Ghaljaei, F. (2017) · Strides in development of medical education · doi:10.5812/sdme.67670 · Cited by 2,471 · see citing works
A theory of organizational readiness for change
Weiner, B. J. (2009) · Implementation Science · doi:10.1186/1748-5908-4-67 · Cited by 2,268 · see citing works
Drazin, R. (1991) · The Journal of Technology Transfer · doi:10.1007/bf02371446 · Cited by 2,122 · see citing works
Interpreting information systems in organizations
(1995) · European Journal of Operational Research · doi:10.1016/0377-2217(95)90133-7 · Cited by 2,028 · see citing works
processes of technological innovation
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. (1990) · Cited by 1,834 · see citing works
ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD
Davenport, T. H., & Ronanki, R. (2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets42512 · Cited by 1,829 · see citing works
BUILDING THEORY ABOUT THEORY BUILDING: WHAT CONSTITUTES A THEORETICAL CONTRIBUTION?
Corley, K. G., & Gioia, D. A. (2011) · Academy of Management Review · doi:10.5465/amr.2009.0486 · Cited by 1,813 · see citing works
Theory Construction as Disciplined Imagination
Weick, K. E. (1989) · Academy of Management Review · doi:10.5465/amr.1989.4308376 · Cited by 1,601 · see citing works
Zhu, K., Kraemer, K. L., & Xu, S. (2006) · Management Science · doi:10.1287/mnsc.1050.0487 · Cited by 1,440 · see citing works
Artificial Intelligence and the Public Sector—Applications and Challenges
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019) · International Journal of Public Administration · doi:10.1080/01900692.2018.1498103 · Cited by 1,341 · cited 3× · see citing works
“…of AI has been suggested to reduce the administrative burden of public sector organizations (Androutsopoulou, Karacapilidisb, Loukisa, & Charalabidisa, 2019) for example through robotic automation of immigration processes will reduce the processing time and increase efficiency (Wirtz et al., 2019).”
BackgroundInfluentialThe unified theory of acceptance and use of technology (UTAUT): a literature review
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2014-0088 · Cited by 1,339 · see citing works
Ocasio, W. C. (2010) · Organization Science · doi:10.1287/orsc.1100.0602 · Cited by 1,233 · see citing works
What can machine learning do? Workforce implications
Brynjolfsson, E., & Mitchell, T. (2017) · Science · doi:10.1126/science.aap8062 · Cited by 1,131 · cited 1× · see citing works
“Further, such strategies and the associated metrics to measure return-on-investment need to have long-term as it can take years to realise the business and social value of AI technologies (Brynjolfsson & Mitchell, 2017).”
BackgroundEffective case research in operations management: a process perspective
Stuart, I., McCutcheon, D. M., Handfield, R., McLachlin, R., & Samson, D. (2002) · Journal of Operations Management · doi:10.1016/s0272-6963(02)00022-0 · Cited by 1,054 · see citing works
Benedetto, C. A. D. (2015) · Wiley Encyclopedia of Management · doi:10.1002/9781118785317.weom130016 · Cited by 1,053 · see citing works
Proceedings of the Conference on Human Factors in Computing Systems
Moore, J. E. (1989) · ACM eBooks · Cited by 960 · see citing works
Sun, T. Q., & Medaglia, R. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.09.008 · Cited by 948 · see citing works
Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002) · MIS Quarterly · doi:10.2307/4132321 · Cited by 945 · see citing works
Interpreting Information Systems in Organizations.
Powell, P. L., & Walsham, G. (1993) · Journal of the Operational Research Society · doi:10.2307/2584090 · Cited by 858 · see citing works
Key Performance Indicators: Developing, Implementing, and Using Winning KPIs
Parmenter, D. A. (2007) · Cited by 821 · see citing works
Big data analytics and firm performance: Findings from a mixed-method approach
Mikalef, P., Boura, M., Lekakos, G. D., & Krogstie, J. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.044 · Cited by 819 · see citing works
Factors influencing big data decision-making quality
Janssen, M., van der Voort, H., & Wahyudi, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.007 · Cited by 799 · see citing works
Zuiderwijk, A., Chen, Y.-C., & Salem, F. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101577 · Cited by 795 · see citing works
ORGANIZATIONAL ASSIMILATION OF INNOVATIONS: A MULTILEVEL CONTEXTUAL ANALYSIS.
Meyer, A. D., & Goes, J. B. (1988) · Academy of Management Journal · doi:10.2307/256344 · Cited by 793 · see citing works
Kontos, P. C., & Poland, B. D. (2009) · Implementation Science · doi:10.1186/1748-5908-4-1 · Cited by 760 · see citing works
Hengstler, M., Enkel, E., & Duelli, S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.014 · Cited by 661 · see citing works
Thinking about technology: Applying a cognitive lens to technical change
Kaplan, S., & Tripsas, M. (2008) · Research Policy · doi:10.1016/j.respol.2008.02.002 · Cited by 661 · see citing works
Organizational adoption and assimilation of complex technological innovations
Gallivan, M. J. (2001) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/506724.506729 · Cited by 653 · see citing works
Fitting Oval Pegs Into Round Holes
Pratt, M. G. (2007) · Organizational Research Methods · doi:10.1177/1094428107303349 · Cited by 641 · see citing works
Big-data applications in the government sector
Gang-Hoon, K., Trimi, S., & Ji-Hyong, C. (2014) · Communications of the ACM · doi:10.1145/2500873 · Cited by 639 · see citing works
The illusory diffusion of innovation: An examination of assimilation gaps
Fichman, R. G., & Kemerer, C. F. (1999) · Information Systems Research · doi:10.1287/isre.10.3.255 · Cited by 633 · see citing works
Transforming the communication between citizens and government through AI-guided chatbots
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.10.001 · Cited by 567 · see citing works
Distributed Attention and Shared Emotions in the Innovation Process
Vuori, T. O., & Huy, Q. N. (2015) · Administrative Science Quarterly · doi:10.1177/0001839215606951 · Cited by 510 · see citing works
Sousa, W. G. D., Melo, E. R. P. D., Bermejo, P. H. D. S., Farias, R. A. S., & Gomes, A. O. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.07.004 · Cited by 501 · see citing works
Veale, M., Van Kleek, M., & Binns, R. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174014 · Cited by 490 · cited 1× · see citing works
“…decisions, lack of transparency, bias, and fairness (Engstrom, Ho, Shar-key, & Cu ´ ellar, 2020; Dwivedi et al., 2019; Sun & Medaglia, 2019; Kankanhalli et al., 2019; Wirtz & Müller, 2019; de Sousa, de Melo, Bermejo, Farias, & Gomes, 2019; Mikhaylov et al., 2018; Veale, Van Kleek, & Binns, 2018).”
Iglesias, O., Marković, S., & Criado, J. R. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.05.043 · Cited by 473 · see citing works
Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. D. (2018) · Information Systems and e-Business Management · doi:10.1007/s10257-018-0377-z · Cited by 451 · see citing works
Attentional Triangulation: Learning from Unexpected Rare Crises
Rerup, C. (2009) · Organ. Sci. · doi:10.1287/orsc.1090.0467 · Cited by 415 · see citing works
Communication and attention dynamics: An attention‐based view of strategic change
Ocasio, W. C., Laamanen, T. M. M., & Vaara, E. (2017) · Strategic Management Journal · doi:10.1002/smj.2702 · Cited by 411 · see citing works
Matheus, R., Janssen, M., & Maheshwari, D. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2018.01.006 · Cited by 380 · see citing works
E-governance innovation: Barriers and strategies
Meijer, A. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2015.01.001 · Cited by 365 · see citing works
Cloud computing in manufacturing: The next industrial revolution in Malaysia?
Ooi, K., Lee, V., Tan, G. W., Hew, T.-S., & Hew, J.-J. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.10.009 · Cited by 347 · see citing works
Is that an opportunity? An attention model of top managers' opportunity beliefs for strategic action
Shepherd, D. A., McMullen, J. S., & Ocasio, W. C. (2016) · Strategic Management Journal · doi:10.1002/smj.2499 · Cited by 333 · see citing works
Joseph, J., & Ocasio, W. C. (2012) · Strategic Management Journal · doi:10.1002/smj.1971 · Cited by 318 · see citing works
Mikhaylov, S., Estève, M., & Campion, A. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2017.0357 · Cited by 318 · see citing works
IoT and AI for smart government: A research agenda
Kankanhalli, A., Charalabidis, Y., & Mellouli, S. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.02.003 · Cited by 314 · see citing works
Strategic Planning as an Integrative Device
Ketokivi, M. A., & Castañer, X. (2004) · Administrative Science Quarterly · doi:10.2307/4131439 · Cited by 310 · see citing works
Artificial intelligence and human decision making
Pomerol, J. (1997) · European Journal of Operational Research · doi:10.1016/s0377-2217(96)00378-5 · Cited by 291 · see citing works
Review on IT adoption: insights from recent technologies
Gangwar, H., Date, H., & Raoot, A. D. (2014) · Journal of Enterprise Information Management · doi:10.1108/jeim-08-2012-0047 · Cited by 289 · see citing works
Ocasio, W. C., & Joseph, J. (2005) · Advances in strategic management · doi:10.1016/s0742-3322(05)22002-8 · Cited by 286 · see citing works
An integrated artificial intelligence framework for public management
Wirtz, B. W., & Müller, W. M. (2019) · Public Management Review · doi:10.1080/14719037.2018.1549268 · Cited by 285 · see citing works
Artificial intelligence and effective governance: A review, critique and research agenda
Sharma, G. D., Yadav, A., & Chopra, R. (2020) · Sustainable Futures · doi:10.1016/j.sftr.2019.100004 · Cited by 280 · see citing works
An Attention-Based View of Real Options Reasoning
Barnett, M. L. (2008) · Academy of Management Review · doi:10.5465/amr.2008.32465698 · Cited by 279 · see citing works
Adoption of electronic government services among business organizations in Singapore
Tung, L. L., & Rieck, O. (2005) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2005.06.001 · Cited by 278 · see citing works
Desouza, K. C., Dawson, G. S., & Chenok, D. (2020) · Business Horizons · doi:10.1016/j.bushor.2019.11.004 · Cited by 271 · see citing works
Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies
Engstrom, D. F., Ho, D. E., Sharkey, C. M., & Cuéllar, M.-F. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3551505 · Cited by 262 · see citing works
Adoption of open government data among government agencies
Wang, H., & Lo, J. (2016) · Government Information Quarterly · doi:10.1016/j.giq.2015.11.004 · Cited by 246 · see citing works
Beyond design and use: How scholars should study intelligent technologies
Bailey, D. E., & Barley, S. R. (2019) · Information and Organization · doi:10.1016/j.infoandorg.2019.100286 · Cited by 215 · see citing works
The business of sustainability: what it means to managers now
Berns, M., Townend, A., Khayat, Z. A., Balagopal, B., Reeves, M., Hopkins, M. S., & Kruschwitz, N. (2009) · Dialnet (Universidad de la Rioja) · Cited by 205 · see citing works
What is the State of Artificial Intelligence Governance Globally?
Butcher, J., & Beridze, I. (2019) · The RUSI Journal · doi:10.1080/03071847.2019.1694260 · Cited by 183 · see citing works
Rise and Fall - or Transformation?
Ocasio, W. C., & Joseph, J. (2008) · Long Range Planning · doi:10.1016/j.lrp.2008.02.010 · Cited by 177 · see citing works
Bajwa, D. S., Garcia, J. E., & Mooney, T. (2004) · Journal of Computer Information Systems · doi:10.1080/08874417.2004.11647585 · Cited by 164 · see citing works
Collaborative Governance: Private Roles for Public Goals in Turbulent TimesPreprint
Donahue, J. D., & Zeckhauser, R. (2011) · RePEc: Research Papers in Economics · Cited by 160 · see citing works
Organizational Assimilation of Electronic Procurement Innovations
Rai, A., Brown, P., & Tang, X. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222260110 · Cited by 158 · see citing works
The Attention-Based View of Great Strategies
Ocasio, W. C., & Joseph, J. (2017) · Strategy Science · doi:10.1287/stsc.2017.0042 · Cited by 158 · see citing works
Competition and Beyond: Problems and Attention Allocation in the Organizational Rulemaking Process
Sullivan, B. N. (2009) · Organization Science · doi:10.1287/orsc.1090.0436 · Cited by 139 · see citing works
Handbook of Sustainability Science and Research
Filho, W. L. (2017) · World sustainability series · doi:10.1007/978-3-319-63007-6 · Cited by 134 · see citing works
Managing Competing Institutional Logics in Public–Private Joint Ventures
Saz‐Carranza, Á., & Longo, F. (2012) · Public Management Review · doi:10.1080/14719037.2011.637407 · Cited by 131 · see citing works
Qualitative Data, Analysis, and Design
NewtonSuter, W. (2012) · Sage eBooks · doi:10.4135/9781483384443.n12 · Cited by 129 · see citing works
Gender-segregated Education in Saudi Arabia: Its Impact on Social Norms the Saudi Labor Market
Baki, R. (2004) · Education Policy Analysis Archives · doi:10.14507/epaa.v12n28.2004 · Cited by 126 · see citing works
Abbasi, M. S., Tarhini, A., Elyas, T., & Shah, F. (2015) · Journal of Enterprise Information Management · doi:10.1108/jeim-12-2014-0124 · Cited by 125 · see citing works
Data-driven marketing for growth and profitability
Grandhi, B., Patwa, N., & Saleem, K. (2020) · EuroMed Journal of Business · doi:10.1108/emjb-09-2018-0054 · Cited by 123 · see citing works
Understanding the value of (big) data
Pantelis, K., & Aija, L. (2013) · 2013 IEEE International Conference on Big Data · doi:10.1109/bigdata.2013.6691691 · Cited by 121 · see citing works
Shao, Z., Feng, Y., & Hu, Q. (2017) · Information & Management · doi:10.1016/j.im.2017.01.005 · Cited by 119 · see citing works
Artificial Intelligence and Public PolicyPreprint
Thierer, A. D., Castillo, A., & Russell, R. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3021135 · Cited by 108 · see citing works
The use of AI in public services: results from a preliminary mapping across the EU
Misuraca, G., van Noordt, C., & Boukli, A. (2020) · Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance · doi:10.1145/3428502.3428513 · Cited by 108 · see citing works
Kelliher, F. (2005) · The Electronic Journal of Business Research Methods · Cited by 106 · see citing works
A new framework to understand the technological innovation process
Narvekar, R. S., & Jain, K. (2006) · Journal of Intellectual Capital · doi:10.1108/14691930610661845 · Cited by 104 · see citing works
Cognition, Technology, and Organizational Limits: Lessons from the Air France 447 Disaster
Oliver, N., Calvard, T. S., & Potočnik, K. (2017) · Organization Science · doi:10.1287/orsc.2017.1138 · Cited by 104 · see citing works
Insufficient theoretical contribution: a conclusive rationale for rejection?
Ågerfalk, P. J. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.35 · Cited by 103 · see citing works
Using social media for competitive business outcomes
Cao, Y., Ajjan, H., Hong, P. C., & Le, T. T. (2018) · Journal of Advances in Management Research · doi:10.1108/jamr-05-2017-0060 · Cited by 101 · see citing works
Artificial Intelligence and Administrative Discretion
Barth, T. J., & Arnold, E. (1999) · The American Review of Public Administration · doi:10.1177/02750749922064463 · Cited by 99 · see citing works
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work
Davenport, T. H. (2018) · Cited by 98 · see citing works
Manuel Maqueira, J., Moyano-Fuentes, J., & Bruque, S. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1530473 · Cited by 94 · see citing works
The AI Advantage:How to Put the Artificial Intelligence Revolution to Work
Bera, R. K. (2019) · doi:10.18520/cs/v117/i6/1102-1103 · Cited by 93 · see citing works
Artificial Intelligence in Government Services: A Systematic Literature Review
dos Reis, J. C. G., Santo, P. E., & Melão, N. F. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-16181-1_23 · Cited by 89 · see citing works
Valentine-Graves, M., Hall, E., Guest, J. L., Adam, E., Valencia, R., Hardee, I., Shinn, K., Sanchez, T., Siegler, A. J., & Sullivan, P. S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236775 · Cited by 89 · see citing works
Rowe, F. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.38 · Cited by 85 · see citing works
Mikalef, P., Fjørtoft, S. O., & Torvatn, H. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29374-1_22 · Cited by 83 · see citing works
Toward a theory of intraorganizational attention based on desirability and feasibility factors
Barreto, I., & Patient, D. (2012) · Strategic Management Journal · doi:10.1002/smj.2029 · Cited by 83 · see citing works
Collaborative data networks for public service: governance, management, and performance
Chen, Y.-C., & Lee, J. (2018) · Public Management Review · doi:10.1080/14719037.2017.1305691 · Cited by 76 · see citing works
Delivering artificial intelligence in government: challenges and opportunities
Desouza, K. C. (2019) · Cited by 69 · see citing works
SmartHS: An AI Platform for Improving Government Service Provision
Zheng, Y., Yu, H., Cui, L., Miao, C., Leung, C., & Yang, Q. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11382 · Cited by 68 · see citing works
Truth or dare?–how can we influence the adoption of artificial intelligence in municipalities?
Schaefer, C., Lemmer, K., Samy Kret, K., Ylinen, M., Mikalef, P., & Niehaves, B. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.286 · Cited by 63 · see citing works
Special issue on internet plus government: New opportunities to solve public problems?
Liu, S. M., & Kim, Y. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2018.01.004 · Cited by 54 · see citing works
Mäntymäki, M., Hyrynsalmi, S., & Koskenvoima, A. (2020) · Information Systems Frontiers · doi:10.1007/s10796-019-09913-1 · Cited by 45 · see citing works
Self-citationBaird, A. M., Davidson, E., & Mathiassen, L. (2017) · Journal of Management Information Systems · doi:10.1080/07421222.2017.1373003 · Cited by 43 · see citing works
Bharati, P., & Chaudhury, A. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9839-6 · Cited by 38 · see citing works
The dual roles of the government in cloud computing assimilation: an empirical study in China
Wang, N., Xue, Y., Liang, H., Wang, Z., & Ge, S. (2018) · Information Technology and People · doi:10.1108/itp-01-2018-0047 · Cited by 36 · see citing works
Wright, R. T., Roberts, N., & Wilson, D. (2017) · European Journal of Information Systems · doi:10.1057/s41303-017-0053-2 · Cited by 31 · see citing works
A Comprehensive Review of Research in IT Adoption
Liu, Z., Min, Q., & Ji, S. (2008) · 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing · doi:10.1109/wicom.2008.2808 · Cited by 30 · see citing works
Theory: Seeking a Plain English Explanation
Metcalfe, M. (2004) · Journal of the Association for Information Systems · Cited by 30 · see citing works
User Acceptance of Social Robots
Hameed, I. A., Tan, Z., Thomsen, N. B., & Duan, X. (2016) · VBN Forskningsportal (Aalborg Universitet) · Cited by 29 · see citing works
Building sense out of situational complexity
Guarana, C. L. O., & Hernandez, M. (2014) · Organizational Psychology Review · doi:10.1177/2041386614543345 · Cited by 26 · see citing works
Wilson, A. J., & Joseph, J. (2015) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0742-332220150000032013 · Cited by 23 · see citing works
Digital Transformation for a Sustainable Society in the 21st Century
Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., Krogstie, J., & Mäntymäki, M. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-39634-3 · Cited by 22 · see citing works
Self-citationJakob, M., & Krcmar, H. (2018) · Central and Eastern European eDem and eGov Days · doi:10.24989/ocg.v331.12 · Cited by 19 · see citing works
Artificial Intelligence in Government
Jimenez-Gomez, C. E., Cano-Carrillo, J., & Falcone, F. (2020) · Computer · doi:10.1109/mc.2020.3010043 · Cited by 18 · see citing works
Park, D.-A. (2017) · Journal of Korea Multimedia Society · doi:10.9717/kmms.2017.20.8.1347 · Cited by 16 · see citing works
Artificial Intelligence and Automated Law Enforcement: A Review PaperPreprint
Petit, N. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3145133 · Cited by 12 · see citing works
Making E-Learning Invisible: Experience at King Khalid University, Saudi Arabia.
Alwalidi, A., & Lefrère, P. (2010) · Open Research Online (The Open University) · Cited by 12 · see citing works
Herrera, J. L. L., Ríos-Figueroa, H. V., & Rechy-Ramirez, E. J. (2018) · International Conference on Electronics, Communications, and Computers · doi:10.1109/conielecomp.2018.8327186 · Cited by 10 · see citing works
Data Makes the Public Sector Go Round
Christodoulou, P., Decker, S., Douka, A.-V., Komopoulou, C., Peristeras, V., Sgagia, S., Tsarapatsanis, V., & Vardouniotis, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98690-6_19 · Cited by 10 · see citing works
COFOG (Classification of the Functions of Government)
van den Berg, C. F., Howlett, M. P., Migone, A. R., Howard, M. C., Pemer, F., & Gunter, H. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108634724.009 · Cited by 7 · see citing works
Jensen, L. L. (2020) · DiVA at Umeå University (Umeå University) · Cited by 4 · see citing works
Dynamic capabilities and strategic management
Teece, D. J., Pisano, G., & Shuen, A. (1997) · Strategic Management Journal · doi:10.1002/(sici)1097-0266(199708)18:7
Eisenhardt, K. M., & Martin, J. A. (2000) · Strategic Management Journal · doi:10.1002/1097-0266(200010/11)21:10/11
Flagged first, then by citations
3 of the 144 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Madan, R., & Ashok, M. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101774 · Cited by 468 · see citing works
“Transformational leaders can influence culture by establishing personal and social identification related to innovation and institutionalising learning (Alblooshi, Shamsuzzaman, & Haridy, 2020; Alshahrani et al., 2021; Jia, Chen, Mei, & Wu, 2018).”
Influentialvan Noordt, C., & Misuraca, G. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101714 · Cited by 356 · see citing works
Sharma, M., Luthra, S., Joshi, S., & Kumar, A., V (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101624 · Cited by 184 · see citing works
Yigitcanlar, T., Li, R. Y. M., Beeramoole, P. B., & Paz, A. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2023.101833 · Cited by 142 · see citing works
van Noordt, C., & Tangi, L. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2023.101860 · Cited by 151 · see citing works
Rjab, A. B., Mellouli, S., & Corbett, J. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2023.101814 · Cited by 115 · see citing works
Artificial Intelligence for data-driven decision-making and governance in public affairs
Charles, V., Rana, N. P., & Carter, L. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101742 · Cited by 101 · see citing works
Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI
Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y. K., Mäntymäki, M., & Pappas, I. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10365-3 · Cited by 113 · see citing works
Self-citationYiğitcanlar, T., David, A., Li, W., Fookes, C., Bibri, S. E., & Ye, X. (2024) · Smart Cities · doi:10.3390/smartcities7040064 · Cited by 122 · see citing works
Qinqin, W., Qalati, S. A., Hussain, R. Y., Irshad, H., Tajeddini, K., Siddique, F., & Gamage, T. C. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100415 · Cited by 74 · see citing works
Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service
Gaozhao, D., Wright, J. E., & Gainey, M. K. (2023) · Public Management Review · doi:10.1080/14719037.2022.2160488 · Cited by 75 · see citing works
Nilashi, M., Baabdullah, A. M., Abumalloh, R. A., Ooi, K., Tan, G. W., Giannakis, M., & Dwivedi, Y. K. (2023) · Annals of Operations Research · doi:10.1007/s10479-023-05272-y · Cited by 73 · see citing works
Ethical artificial intelligence (AI): principles and practices
Law, R., Ye, H., & Lei, S. I. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-04-2024-0482 · Cited by 65 · see citing works
van Noordt, C., Medaglia, R., & Tangi, L. (2023) · Public Policy and Administration · doi:10.1177/09520767231198411 · Cited by 84 · see citing works
Mustafa, F., Smolarski, J., & Elamer, A. A. (2025) · Business Strategy and the Environment · doi:10.1002/bse.70090 · Cited by 51 · see citing works
Kempeneer, S., & Heylen, F. (2023) · Big Data & Society · doi:10.1177/20539517231160528 · Cited by 60 · see citing works
Artificial intelligence governance: Understanding how public organizations implement it
de Almeida, P. G. R., & dos Santos, C. D. (2025) · Government Information Quarterly · doi:10.1016/j.giq.2024.102003 · Cited by 78 · see citing works
Prediction of Dental Implants Using Machine Learning Algorithms
Alharbi, M., & Almutiq, M. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/7307675 · Cited by 46 · see citing works
AL-Khassawneh, Y. A. (2022) · Indonesian Journal of Science and Technology · doi:10.17509/ijost.v8i1.52709 · Cited by 51 · see citing works
Whether AI adoption challenges matter for public managers? The case of Polish cities
Sienkiewicz-Małyjurek, K. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2023.101828 · Cited by 46 · see citing works
de Sousa, W. G., Fidelis, R. A., Bermejo, P. H. D. S., Gonçalo, A. G. D. S., & Melo, B. D. S. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101660 · Cited by 38 · see citing works
Crusoe, J., Magnusson, J., & Eklund, J. (2024) · Government Information Quarterly · doi:10.1016/j.giq.2024.101958 · Cited by 56 · see citing works
Trends and Trajectories in the Software Industry: implications for the future of work
Laato, S., Mäntymäki, M., Islam, A. K. M. N., Hyrynsalmi, S., & Birkstedt, T. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10267-4 · Cited by 39 · see citing works
Self-citationMahroof, K., Omar, A., Yaroson, E. V., Tenebe, S. A., Rana, N. P., Sivarajah, U., & Weerakkody, V. (2023) · Supply Chain Management An International Journal · doi:10.1108/scm-01-2023-0045 · Cited by 35 · see citing works
Agbabiaka, O., Ojo, A., & Connolly, N. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124076 · Cited by 45 · see citing works
Orchestrating artificial intelligence for urban sustainability
Zhang, D., Pee, L. G., Pan, S. L., & Liu, W. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101720 · Cited by 34 · see citing works
Papyshev, G., & Yarime, M. (2024) · AI & SOCIETY · doi:10.1007/s00146-022-01611-y · Cited by 27 · see citing works
Using artificial intelligence to identify administrative errors in unemployment insurance
Young, M. M., Himmelreich, J., Honcharov, D., & Soundarajan, S. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101758 · Cited by 18 · see citing works
Kumar, R., Singh, A. K., Kassar, A. S. A., Humaida, M. I., Joshi, S., & Sharma, M. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.059152 · Cited by 27 · see citing works
Artificial intelligence for decision-making and the future of work
Dennehy, D., Griva, A., Pouloudi, N., Mäntymäki, M., & Pappas, I. O. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102574 · Cited by 18 · see citing works
Self-citationTomaževič, N., Murko, E., & Aristovnik, A. (2024) · Central European Public Administration Review · doi:10.17573/cepar.2024.1.05 · Cited by 30 · see citing works
Decision support using AI: the data exploitation at telecoms in practice
Gizelis, C. A., Nestorakis, K., Misargopoulos, A., Nikolopoulos-Gkamatsis, F., Kefalogiannis, M., Palaiogeorgou, P., Christonasis, A. M., Boletis, K., Giamalis, T., & Charisis, C. (2022) · Journal of Decision System · doi:10.1080/12460125.2022.2078554 · Cited by 13 · see citing works
Expanding AI adoption in public sector organizations: perspectives on management practices
Alamäki, A. V. (2025) · Transforming Government People Process and Policy · doi:10.1108/tg-05-2025-0124 · Cited by 17 · see citing works
India's Courts and Artificial Intelligence: A Future Outlook
Sharma, M. K. (2023) · Lexonomica · doi:10.18690/lexonomica.15.1.99-120.2023 · Cited by 12 · see citing works
Liang, D., Cao, W., Zhang, Y., & Xu, Z. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119762 · Cited by 12 · see citing works
Zhou, S., & Tu, L. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.101984 · Cited by 11 · see citing works
Cooperatives and the Use of Artificial Intelligence: A Critical View
Ramos, M. E. G., Azevedo, A., Meira, D., & Malta, M. C. (2022) · Sustainability · doi:10.3390/su15010329 · Cited by 10 · see citing works
Aviram, N. F., Lotta, G., & de Carvalho, L. J. (2024) · Public Administration Review · doi:10.1111/puar.13824 · Cited by 12 · see citing works
Artificial intelligence and analytics in practice
Griva, A., Dennehy, D., Pappas, I. O., Mäntymäki, M., Pouloudi, N., Dwivedi, Y. K., & Schmarzo, B. (2022) · Journal of Decision System · doi:10.1080/12460125.2022.2122218 · Cited by 10 · see citing works
Self-citationArtificial intelligence affordances for urban mobility
Li, M., Molla, A., & Duan, S. X. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-09-2024-0878 · Cited by 13 · see citing works
Janssen, M., Zhang, H., Ojo, A., Nikiforova, A., Loukis, E., Pereira, G. V., Scholl, H. J., Liu, H. K., Durkiewicz, J., Hughes, L., et al. (2025) · Government Information Quarterly · doi:10.1016/j.giq.2025.102086 · Cited by 13 · see citing works
Research and Development Agenda for the Use of AI in Parliaments
von Lucke, J., Fitsilis, F., & Etscheid, J. (2023) · Annual International Conference on Digital Government Research · doi:10.1145/3598469.3598517 · Cited by 9 · see citing works
Artificial Intelligence in the Judiciary System of Saudi Arabia: A Literature Review
Al‐Alawi, A. I., & A-Lmansouri, A. M. (2023) · International Conference on Cyber Management and Engineering (CyMaEn) · doi:10.1109/cymaen57228.2023.10050929 · Cited by 8 · see citing works
Attention dynamics: Evolution of attention-based view and its implications
Kumar, S., & Thakur, M. (2024) · Management Review Quarterly · doi:10.1007/s11301-024-00468-3 · Cited by 7 · see citing works
Mohammed, A., & Ferraris, A. (2025) · The Bottom Line Managing Library Finances · doi:10.1108/bl-11-2024-0189 · Cited by 9 · see citing works
Zhao, L., He, Q., Kamal, M. M., & O’Regan, N. (2025) · Journal of Managerial Psychology · doi:10.1108/jmp-05-2024-0371 · Cited by 7 · see citing works
Iram, T., Albadry, O., Mehmood, S., & Ahmad, Z. (2025) · Management & Sustainability: An Arab Review · doi:10.1108/msar-08-2024-0092 · Cited by 7 · see citing works
Xi, D., Zhang, M., & Veronesi, G. (2026) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124519 · Cited by 7 · see citing works
Al-Mutawa, R. F., & Al-Aama, A. Y. (2023) · Applied Sciences · doi:10.3390/app13105985 · Cited by 6 · see citing works
Abbas, S. W., Hamid, M., Alkanhel, R. I., & Abdallah, H. A. (2023) · Systems · doi:10.3390/systems11080424 · Cited by 6 · see citing works
The use of artificial intelligence in public administration: Bibliometric analysis
Rekunenko, І., Kobushko, I., Dzydzyguri, O., Balahurovska, І., Yurynets Oksana, V., & Жук, О. (2025) · Problems and Perspectives in Management · doi:10.21511/ppm.23(1).2025.16 · Cited by 6 · see citing works
Exploring Artificial Intelligence Adoption for E-Government: A Systematic Literature Review
Alorini, F. T., & Alkhalifah, A. (2025) · IEEE Access · doi:10.1109/access.2025.3618778 · Cited by 7 · see citing works
Alqahtani, A., Yan, J., Vlahu‐Gjorgievska, E., & Cao, C. (2025) · Digital Government Research and Practice · doi:10.1145/3785153 · Cited by 5 · see citing works
Public Sector Transformation in Emerging Economies: Factors Affecting Change Adoption in Pakistan
Nawaz, M. K., Eltweri, A. A., Abbas, K., Al-karaki, W., Edghiem, F., Foster, S., & Adali, M. (2025) · Administrative Sciences · doi:10.3390/admsci15040126 · Cited by 8 · see citing works
Alshahrani, A., Griva, A., Dennehy, D., & Mäntymäki, M. (2025) · Transforming Government People Process and Policy · doi:10.1108/tg-06-2025-0187 · Cited by 10 · see citing works
Self-citationThe Influence of The Quality of Financial Reports on The Performance of Public Sector Organizations
Yunia, D., & Muttaqin, G. F. (2022) · JAK (Jurnal Akuntansi) Kajian Ilmiah Akuntansi · doi:10.30656/jak.v9i2.4606 · Cited by 4 · see citing works
Multinational Enterprises and People Management: Examining the Role of Artificial Intelligence
Kumar, P. (2023) · FOCUS Journal of International Business · doi:10.17492/jpi.focus.v10i2.1022305 · Cited by 4 · see citing works
Molin, A. (2024) · Annual International Conference on Digital Government Research · doi:10.1145/3657054.3657278 · Cited by 4 · see citing works
Ruvalcaba-Gómez, E. A., & Benítez, V. H. G. (2025) · Public administration and information technology · doi:10.1007/978-3-031-87623-3_4 · Cited by 5 · see citing works
Men, Y., Xu, Y., Yang, K., Wang, Z., & Ji, X. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05932-3 · Cited by 3 · see citing works
Luo, J., Shafiei, M. W. M., & Ismail, R. (2025) · Journal of Strategy & Innovation · doi:10.1016/j.jsinno.2025.200539 · Cited by 4 · see citing works
Sebopelo, P., Baloyi, O. B., & Chukwuma, N. N. (2025) · Review of Artificial Intelligence in Education · doi:10.37497/rev.artif.intell.educ.v6ii.42 · Cited by 4 · see citing works
Sheriefah, M., & Steva, S. S. (2024) · Researcher Academy Innovation Data Analysis · doi:10.69725/raida.v1i2.167 · Cited by 3 · see citing works
Pujianto, W. E., Mudzakkir, M. F., Choirunnisa, Z., Chin, P. N., Sahertian, P., & Purwono, R. (2026) · Cogent Business & Management · doi:10.1080/23311975.2025.2608424 · Cited by 2 · see citing works
Albulayhi, O., & Alkhalifah, A. (2026) · Sustainability · doi:10.3390/su18062986 · Cited by 2 · see citing works
Aboelazm, K. S., Dganni, K. M., Jahoori, S. A. H. N. A., & Hussain, Z. (2026) · International Journal of Law and Management · doi:10.1108/ijlma-02-2026-0097 · Cited by 2 · see citing works
Sebopelo, P., Baloyi, O. B., & Chukwuma, N. N. (2025) · SDGs Studies Review. · doi:10.37497/sdgs.v6istudies.33 · Cited by 2 · see citing works
AI and Big Data Practices in Developing Country Context: A Socio-Technical Perspective
Srivastava, S., & Dixit, G. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-50188-3_6 · Cited by 1 · see citing works
Sultan, B., Al-Hammad, I., Alothman, A., & AlSehli, G. (2025) · Sustainability · doi:10.3390/su17083429 · Cited by 1 · see citing works
Bendary, M. G., Khudari, M., & Alshehadeh, A. R. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-96622-4_26 · Cited by 1 · see citing works
Artificial intelligence assimilation shapes sustainable performance through dynamic capabilities
Zhang, M., & Dong, W. (2026) · Scientific Reports · doi:10.1038/s41598-026-46291-6 · Cited by 8 · see citing works
Active and Passive Decisions: How Ethical Choices Are Made (and Missed) in NLP Research
Uleah, K., DiSalvo, B. J., & Meng, A. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791883 · Cited by 1 · see citing works
Overcoming Resistance to Change: Artificial Intelligence in the Energy Sector
Lambert, J. (2026) · Suranaree Journal of Social Science · doi:10.55766/sjss283481 · Cited by 1 · see citing works
Johnson, U. U., Duke, O. O., Lekara, B., Kpakol, A., Ita, O. U., Asian, U. I., Etta, E. O., Obot, I., Omonfoman, G. V., Umoren, C. O., et al. (2026) · Science Journal of Business and Management · doi:10.11648/j.sjbm.20261403.12 · Cited by 1 · see citing works
Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
Alkuwaiti, S. A. A. A., Abu Dhabi Police, U. A. E., Ahmad, A. N. A., Mosali, N. A., & 27 Wednesbury Road West Midlands Walsall, U. K. (2023) · International Journal of Sustainable Construction Engineering Technology · doi:10.30880/ijscet.2023.14.02.008 · Cited by 2 · see citing works
Prasetyo, A., Trisnani, T., Wahyudianto, H., Hartopo, A., Sondakh, J. O. M., Kilmanun, J. C., & Kenda, N. (2023) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-38476-118-0_22 · Cited by 1 · see citing works
Prasetyo, A., Rinawati, H. S., Hamid, A., Raharjo, T. W., Trisnani, T., Wahyudianto, H., & Hartopo, A. (2023) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-38476-118-0_33 · Cited by 1 · see citing works
Ashry, E. S. H. (2024) · American Journal of Education and Technology · doi:10.54536/ajet.v3i2.2504 · Cited by 1 · see citing works
Hasna, H., Retnaningdyah, P., & Mustofa, A. (2024) · Journal of Language Teaching and Research · doi:10.17507/jltr.1503.27 · Cited by 1 · see citing works
Artificial intelligence and service innovation: a systematic quantitative literature review analogy
Dutta, D. (2025) · Quality & Quantity · doi:10.1007/s11135-025-02321-5 · Cited by 1 · see citing works
Godz, M., Plata, A. M., López‐Pérez, G., & Hernández, A. M. L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5399113 · Cited by 2 · see citing works
Sinaga, K. (2024) · The American Journal of Interdisciplinary Innovations and Research · doi:10.37547/tajiir/nicspeep-2024-01-18
Verma, R., & Kapoor, S. (2024) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-024-02498-2
Krause, T. A. (2025) · dms – der moderne staat – Zeitschrift für Public Policy Recht und Management · doi:10.3224/dms.vxix.403989
Ludwiczak, A. K. (2025) · Scientific Papers of Silesian University of Technology Organization and Management Series · doi:10.29119/1641-3466.2025.224.16
Boakye, A. N., Dauda, Y., & Nyadu-Addo, R. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-7473-2_2
Public online attention and firm location decisions: Evidence from 286 cities in China
Sun, X., Zheng, X., & Song, Z. (2025) · Land Use Policy · doi:10.1016/j.landusepol.2025.107799
Gao, L., & Luna‐Reyes, L. F. (2025) · Public administration, governance and globalization · doi:10.1007/978-3-032-00514-4_18
Krause, T. A. (2025) · dms – der moderne staat – Zeitschrift für Public Policy Recht und Management · doi:10.3224/dms.v18i1.12
What are the challenges facing the use of ChatGPT in the Bahrain public sector?
Alharoon, S., & Aldhmour, F. M. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.102388
Exploring the implementation of AI in public sector organisations
Boll, K. (2026) · Journal of Organizational Ethnography · doi:10.1108/joe-04-2025-0040
The impacts of public attention to artificial intelligence on innovation
Li, B., & Yang, X. (2026) · Small Business Economics · doi:10.1007/s11187-025-01168-2 · Cited by 1 · see citing works
Capón, P. R. (2026) · IDP Revista de Internet Derecho y Política · doi:10.7238/idp.v0i45.9900556
Human and Institutional Capacity in Public Sector AI Adoption: Evidence from OECD OPSI Cases
Çubuk, E. B. S. (2026) · Iğdır üniversitesi sosyal bilimler dergisi · doi:10.54600/igdirsosbilder.1874248
Naeem, S. (2026) · De Gruyter eBooks · doi:10.1515/9783111710815-003
Chen, S., Li, J., & Liu, Z. (2026) · Energy · doi:10.1016/j.energy.2026.141537
When Learning Reinforces Inertia: Organizational Conditions of AI Adoption in the Public Sector
Yao, H., & Liu, X. (2026) · Systems · doi:10.3390/systems14060688 · Cited by 1 · see citing works
Navigating Digital Technologies for GLAMs in the Arab World
AlSaedi, S. K. (2025) · doi:10.3917/hdiff.hayou.2025.01.0249
Gînguță, A., Blehuiu, A. E., Ştefea, P., & Munteanu, V. P. (2026) · Systems · doi:10.3390/systems14070729
- Authors
- Alshahrani, A., Dennehy, D., & Mäntymäki, M.
- Affiliations
- Ollscoil na Gaillimhe – University of Galway (IE)
- University of Turku (FI)
- Corresponding author
- Dennehy, Denis
- Venue
- Government Information Quarterly
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 39
- Issue
- 4
- Pages
- 101617
- ISSN
- 0740-624X (ISSN-L)
- OpenAlex
- W3186485936
- Cited by
- 106
- References
- 144
- Citations by year
- 2026: 23 · 2025: 31 · 2024: 13 · 2023: 22 · 2022: 15 · 2021: 2
- FWCI
- 43.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Government Information Quarterly (publishedVersion, cc-by)
- UTUPub (University of Turku) (submittedVersion)
- Funders
- Taif University
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Public Administration › Public Policy and Administration Research
- Keywords
- public sector organizations, attention-based view, distributed attention, AI adoption barriers, management decision-making, national culture, AI infrastructure, AI ethics, AI governance, Saudi Arabia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review