{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T12:09:07Z","timestamp":1782302947715,"version":"3.54.5"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030293734","type":"print"},{"value":"9783030293741","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29374-1_22","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T23:03:18Z","timestamp":1567983798000},"page":"267-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Artificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalities"],"prefix":"10.1007","author":[{"given":"Patrick","family":"Mikalef","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siw Olsen","family":"Fj\u00f8rtoft","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans Yngvar","family":"Torvatn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,8,14]]},"reference":[{"key":"22_CR1","unstructured":"Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., Spira, M.: Artificial intelligence in business gets real. MIT Sloan Management Review (2018)"},{"key":"22_CR2","first-page":"108","volume":"96","author":"TH Davenport","year":"2018","unstructured":"Davenport, T.H., Ronanki, R.: Artificial intelligence for the real world. Harv. Bus. Rev. 96, 108\u2013116 (2018)","journal-title":"Harv. Bus. Rev."},{"key":"22_CR3","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1631\/FITEE.1601885","volume":"18","author":"B-H Li","year":"2017","unstructured":"Li, B.-H., Hou, B.-C., Yu, W.-T., Lu, X.-B., Yang, C.-W.: Applications of artificial intelligence in intelligent manufacturing: a review. Front. Inf. Technol. Electron. Eng. 18, 86\u201396 (2017)","journal-title":"Front. Inf. Technol. Electron. Eng."},{"key":"22_CR4","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1177\/1094670517752459","volume":"21","author":"M-H Huang","year":"2018","unstructured":"Huang, M.-H., Rust, R.T.: Artificial intelligence in service. J. Serv. Res. 21, 155\u2013172 (2018)","journal-title":"J. Serv. Res."},{"key":"22_CR5","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.jbusres.2019.01.044","volume":"98","author":"P Mikalef","year":"2019","unstructured":"Mikalef, P., Boura, M., Lekakos, G., Krogstie, J.: Big data analytics and firm performance: findings from a mixed-method approach. J. Bus. Res. 98, 261\u2013276 (2019)","journal-title":"J. Bus. Res."},{"key":"22_CR6","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1016\/j.giq.2018.09.008","volume":"36","author":"TQ Sun","year":"2019","unstructured":"Sun, T.Q., Medaglia, R.: Mapping the challenges of artificial intelligence in the public sector: evidence from public healthcare. Gov. Inf. Q. 36, 368\u2013383 (2019)","journal-title":"Gov. Inf. Q."},{"key":"22_CR7","unstructured":"Wirtz, B.W., M\u00fcller, W.M.: An integrated artificial intelligence framework for public management. Public Manag. Rev. 1\u201325 (2018)"},{"key":"22_CR8","first-page":"1347","volume":"20","author":"D-A Park","year":"2017","unstructured":"Park, D.-A.: A study on conversational public administration service of the Chatbot based on artificial intelligence. J. Korea Multimed. Soc. 20, 1347\u20131356 (2017)","journal-title":"J. Korea Multimed. Soc."},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Herrera, J.L.L., Figueroa, H.V.R., Ram\u00edrez, E.J.R.: Deep fraud. A fraud intention recognition framework in public transport context using a deep-learning approach. In: 2018 International Conference on Electronics, Communications and Computers (CONIELECOMP), pp. 118\u2013125. IEEE (2018)","DOI":"10.1109\/CONIELECOMP.2018.8327186"},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.techfore.2015.12.014","volume":"105","author":"M Hengstler","year":"2016","unstructured":"Hengstler, M., Enkel, E., Duelli, S.: Applied artificial intelligence and trust\u2014the case of autonomous vehicles and medical assistance devices. Technol. Forecast. Soc. Chang. 105, 105\u2013120 (2016)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"22_CR11","first-page":"505","volume":"24","author":"C Cath","year":"2018","unstructured":"Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., Floridi, L.: Artificial intelligence and the \u2018good society\u2019: the US, EU, and UK approach. Sci. Eng. Ethics 24, 505\u2013528 (2018)","journal-title":"Sci. Eng. Ethics"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Goolsbee, A.: Public policy in an AI economy. National Bureau of Economic Research (2018)","DOI":"10.3386\/w24653"},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1002\/pad.1717","volume":"35","author":"SM Liu","year":"2015","unstructured":"Liu, S.M., Yuan, Q.: The evolution of information and communication technology in public administration. Public Adm. Dev. 35, 140\u2013151 (2015)","journal-title":"Public Adm. Dev."},{"key":"22_CR14","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/978-3-319-93931-5_10","volume-title":"Business Information Systems","author":"P Mikalef","year":"2018","unstructured":"Mikalef, P., van de Wetering, R., Krogstie, J.: Big Data enabled organizational transformation: the effect of inertia in adoption and diffusion. In: Abramowicz, W., Paschke, A. (eds.) BIS 2018. LNBIP, vol. 320, pp. 135\u2013147. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93931-5_10"},{"key":"22_CR15","volume-title":"Machine, Platform, Crowd: Harnessing Our Digital Future","author":"A McAfee","year":"2017","unstructured":"McAfee, A., Brynjolfsson, E.: Machine, Platform, Crowd: Harnessing Our Digital Future. WW Norton & Company, New York (2017)"},{"key":"22_CR16","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1111\/1467-8551.12343","volume":"30","author":"P Mikalef","year":"2019","unstructured":"Mikalef, P., Boura, M., Lekakos, G., Krogstie, J.: Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment. Br. J. Manag. 30, 272\u2013298 (2019)","journal-title":"Br. J. Manag."},{"key":"22_CR17","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan, Y., Edwards, J.S., Dwivedi, Y.K.: Artificial intelligence for decision making in the era of Big Data\u2013evolution, challenges and research agenda. Int. J. Inf. Manag. 48, 63\u201371 (2019)","journal-title":"Int. J. Inf. Manag."},{"key":"22_CR18","doi-asserted-by":"publisher","first-page":"20170357","DOI":"10.1098\/rsta.2017.0357","volume":"376","author":"SJ Mikhaylov","year":"2018","unstructured":"Mikhaylov, S.J., Esteve, M., Campion, A.: Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci. 376, 20170357 (2018)","journal-title":"Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci."},{"key":"22_CR19","unstructured":"Mikalef, P., Krogstie, J.: Big Data governance and dynamic capabilities: the moderating effect of environmental uncertainty. In: Pacific Asia Conference on Information Systems (PACIS). AIS, Yokohama (2018)"},{"key":"22_CR20","unstructured":"Mikalef, P., Framnes, V.A., Danielsen, F., Krogstie, J., Olsen, D.H.: Big Data analytics capability: antecedents and business value. In: Pacific Asia Conference on Information Systems (2017)"},{"key":"22_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jbusres.2016.09.004","volume":"70","author":"P Mikalef","year":"2017","unstructured":"Mikalef, P., Pateli, A.: Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: findings from PLS-SEM and fsQCA. J. Bus. Res. 70, 1\u201316 (2017)","journal-title":"J. Bus. Res."}],"container-title":["Lecture Notes in Computer Science","Digital Transformation for a Sustainable Society in the 21st Century"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29374-1_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T17:42:18Z","timestamp":1710351738000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-29374-1_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030293734","9783030293741"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29374-1_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"14 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"I3E","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on e-Business, e-Services and e-Society","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trondheim","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"i3e2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.i3e2019.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"138","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"I3E 2019 workshops (DTIS, TPSIE, 3(IT), and CROPS): 11 full papers and 4 short papers were carefully reviewed and selected from 33 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}