{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:38:15Z","timestamp":1743104295203,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031611742"},{"type":"electronic","value":"9783031611759"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-61175-9_4","type":"book-chapter","created":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T23:04:39Z","timestamp":1716764679000},"page":"51-65","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Conceptualizing Multi-party AI Reliance for Design Research"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4713-8408","authenticated-orcid":false,"given":"Sven","family":"Eckhardt","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2732-4465","authenticated-orcid":false,"given":"Mateusz","family":"Dolata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8837-790X","authenticated-orcid":false,"given":"Ingrid","family":"Bauer-H\u00e4nsel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0453-9762","authenticated-orcid":false,"given":"Gerhard","family":"Schwabe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,27]]},"reference":[{"key":"4_CR1","unstructured":"OpenAI: Introducing ChatGPT (2023). https:\/\/openai.com\/blog\/chatgpt"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.5198\/jtlu.2019.1405","volume":"12","author":"A Faisal","year":"2019","unstructured":"Faisal, A., Kamruzzaman, M., Yigitcanlar, T., Currie, G.: Understanding autonomous vehicles. J. Transp. Land Use 12, 45\u201372 (2019)","journal-title":"J. Transp. Land Use"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"R\u00e4dsch, T., Eckhardt, S., Leiser, F., Pandl, K.D., Thiebes, S., Sunyaev, A.: What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images (2021)","DOI":"10.24251\/HICSS.2021.157"},{"key":"4_CR4","unstructured":"EU: Ethics guidelines for trustworthy AI | Shaping Europe\u2019s digital future. https:\/\/digital-strategy.ec.europa.eu\/en\/library\/ethics-guidelines-trustworthy-ai. Accessed 15 Jan 2024"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1111\/isj.12320","volume":"31","author":"S Chatterjee","year":"2021","unstructured":"Chatterjee, S., Sarker, S., Lee, M.J., Xiao, X., Elbanna, A.: A possible conceptualization of the information systems (IS) artifact: a general systems theory perspective 1. Inf. Syst. J. 31, 550\u2013578 (2021)","journal-title":"Inf. Syst. J."},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"100626","DOI":"10.1016\/j.accinf.2023.100626","volume":"50","author":"SG Sutton","year":"2023","unstructured":"Sutton, S.G., Arnold, V., Holt, M.: An extension of the theory of technology dominance: capturing the underlying causal complexity. Int. J. Account. Inf. Syst. 50, 100626 (2023)","journal-title":"Int. J. Account. Inf. Syst."},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 31 (2004)","DOI":"10.1518\/hfes.46.1.50.30392"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Schemmer, M., Kuehl, N., Benz, C., Bartos, A., Satzger, G.: Appropriate reliance on ai advice: conceptualization and the effect of explanations. In: Proceedings of the 28th International Conference on Intelligent User Interfaces, pp. 410\u2013422. ACM, Sydney (2023)","DOI":"10.1145\/3581641.3584066"},{"key":"4_CR9","unstructured":"Passi, S., Vorvoreanu, M.: Overreliance on AI literature review. Microsoft Research (2022)"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Wang, L., Jamieson, G.A., Hollands, J.G.: Selecting methods for the analysis of reliance on automation. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 52, pp. 287\u2013291 (2008)","DOI":"10.1177\/154193120805200419"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Dikmen, M., Burns, C.: The effects of domain knowledge on trust in explainable AI and task performance: a case of peer-to-peer lending. Int. J. Hum. Comput. Stud. 162 (2022)","DOI":"10.1016\/j.ijhcs.2022.102792"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Glick, A., Clayton, M., Angelov, N., Chang, J.: Impact of explainable artificial intelligence assistance on clinical decision-making of novice dental clinicians. JAMIA Open 5 (2022)","DOI":"10.1093\/jamiaopen\/ooac031"},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.2307\/258191","volume":"14","author":"KM Eisenhardt","year":"1989","unstructured":"Eisenhardt, K.M.: Agency theory: an assessment and review. Acad. Manag. Rev. 14, 57\u201374 (1989)","journal-title":"Acad. Manag. Rev."},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1111\/1467-9485.00124","volume":"46","author":"A Scott","year":"1999","unstructured":"Scott, A., Vick, S.: Patients, doctors and contracts: an application of principal-agent theory to the doctor-patient relationship. Scott. J. Polit. Econ. 46, 111\u2013134 (1999)","journal-title":"Scott. J. Polit. Econ."},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"81","DOI":"10.2307\/2331299","volume":"27","author":"JH Golec","year":"1992","unstructured":"Golec, J.H.: Empirical tests of a principal-agent model of the investor-investment advisor relationship. J. Financ. Quant. Anal. 27, 81\u201395 (1992)","journal-title":"J. Financ. Quant. Anal."},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1177\/095169280201400204","volume":"14","author":"GJ Miller","year":"2002","unstructured":"Miller, G.J., Whitford, A.B.: Trust and incentives in principal-agent negotiations: the \u2018insurance\/incentive trade-off.\u2019 J. Theor. Polit. 14, 231\u2013267 (2002)","journal-title":"J. Theor. Polit."},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Chiang, C.-W., Lu, Z., Li, Z., Yin, M.: Are two heads better than one in AI-assisted decision making? Comparing the behavior and performance of groups and individuals in human-AI collaborative recidivism risk assessment. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1\u201318. ACM, Hamburg (2023)","DOI":"10.1145\/3544548.3581015"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1080\/00223980.1946.9917275","volume":"21","author":"F Heider","year":"1946","unstructured":"Heider, F.: Attitudes and cognitive organization. J. Psychol. 21, 107\u2013112 (1946)","journal-title":"J. Psychol."},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Dzindolet, M.T., Pierce, L.G., Beck, H.P., Dawe, L.A.: Misuse and disuse of automated aids. Presented at the Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1999)","DOI":"10.1177\/154193129904300345"},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1518\/001872097778543886","volume":"39","author":"R Parasuraman","year":"1997","unstructured":"Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. Hum. Factors 39, 230\u2013253 (1997)","journal-title":"Hum. Factors"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Chiang, C.-W., Yin, M.: Exploring the effects of machine learning literacy interventions on laypeople\u2019s reliance on machine learning models. In: International Conference on Intelligent User Interfaces Proceedings, IUI, pp. 148\u2013161. Association for Computing Machinery (2022)","DOI":"10.1145\/3490099.3511121"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Haight, J.M., Kecojevic, V.: Automation vs. human intervention: what is the best fit for the best performance? Process Saf. Progr. 24, 45\u201351 (2005)","DOI":"10.1002\/prs.10050"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Nourani, M., et al.: Anchoring bias affects mental model formation and user reliance in explainable AI systems. In: 26th International Conference on Intelligent User Interfaces, pp. 340\u2013350. ACM, College Station (2021)","DOI":"10.1145\/3397481.3450639"},{"key":"4_CR24","unstructured":"Schmitt, A., Wambsganss, T., S\u00f6llner, M., Janson, A.: Towards a trust reliance paradox? Exploring the gap between perceived trust in and reliance on algorithmic advice. In: International Conference on Information Systems (ICIS), Austin, Texas (2021)"},{"key":"4_CR25","unstructured":"Lai, V., Chen, C., Liao, Q.V., Smith-Renner, A., Tan, C.: Towards a science of human-ai decision making: a survey of empirical studies. arXiv preprint arXiv:2112.11471 (2021)"},{"key":"4_CR26","unstructured":"Guggenberger, T., L\u00e4mmermann, L., Urbach, N., Walter, A., Hofmann, P.: Task delegation from AI to humans: a principal-agent perspective. In: ICIS 2023 Proceedings (2023)"},{"key":"4_CR27","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s10796-022-10284-3","volume":"24","author":"M V\u00f6ssing","year":"2022","unstructured":"V\u00f6ssing, M., K\u00fchl, N., Lind, M., Satzger, G.: Designing transparency for effective human-ai collaboration. Inf. Syst. Front. 24, 877\u2013895 (2022)","journal-title":"Inf. Syst. Front."},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Heider, F.: The Psychology of Interpersonal Relations. Psychology Press (2013)","DOI":"10.4324\/9780203781159"},{"key":"4_CR29","doi-asserted-by":"crossref","unstructured":"Aronson, E.: The theory of cognitive dissonance: a current perspective. In: Berkowitz, L. (ed.) Advances in Experimental Social Psychology, pp. 1\u201334. Academic Press (1969)","DOI":"10.1016\/S0065-2601(08)60075-1"},{"key":"4_CR30","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1037\/h0046049","volume":"63","author":"D Cartwright","year":"1956","unstructured":"Cartwright, D., Harary, F.: Structural balance: a generalization of Heider\u2019s theory. Psychol. Rev. 63, 277\u2013293 (1956)","journal-title":"Psychol. Rev."},{"key":"4_CR31","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1362\/147539212X13286273975238","volume":"11","author":"S Roy","year":"2012","unstructured":"Roy, S., Gammoh, B.S., Koh, A.C.: Predicting the effectiveness of celebrity endorsements using the balance theory. J. Cust. Behav. 11, 33\u201352 (2012)","journal-title":"J. Cust. Behav."},{"key":"4_CR32","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1123\/jsm.23.2.142","volume":"23","author":"JS Fink","year":"2009","unstructured":"Fink, J.S., Parker, H.M., Brett, M., Higgins, J.: Off-field behavior of athletes and team identification: using social identity theory and balance theory to explain fan reactions. J. Sport Manag. 23, 142\u2013155 (2009)","journal-title":"J. Sport Manag."},{"key":"4_CR33","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/s40691-018-0159-8","volume":"6","author":"JHJ Min","year":"2019","unstructured":"Min, J.H.J., Chang, H.J.J., Jai, T.-M.C., Ziegler, M.: The effects of celebrity-brand congruence and publicity on consumer attitudes and buying behavior. Fash Text. 6, 10 (2019)","journal-title":"Fash Text."},{"key":"4_CR34","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/TBDATA.2016.2602849","volume":"4","author":"L Qi","year":"2018","unstructured":"Qi, L., et al.: Structural balance theory-based E-commerce recommendation over big rating data. IEEE Trans. Big Data 4, 301\u2013312 (2018)","journal-title":"IEEE Trans. Big Data"},{"key":"4_CR35","doi-asserted-by":"crossref","unstructured":"Nakanishi, H., Nakazawa, S., Ishida, T., Takanashi, K., Isbister, K.: Can software agents influence human relations? Balance theory in agent-mediated communities. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 717\u2013724. Association for Computing Machinery, New York (2003)","DOI":"10.1145\/860575.860691"},{"key":"4_CR36","doi-asserted-by":"crossref","unstructured":"Bucher, A., Dolata, M., Eckhardt, S., Staehelin, D., Schwabe, G.: Talking to multi-party conversational agents in advisory services: command-based vs. conversational interactions. Proc. ACM Hum.-Comput. Interact. 8, 1\u201325 (2024)","DOI":"10.1145\/3633072"},{"key":"4_CR37","doi-asserted-by":"crossref","unstructured":"Eckhardt, S., et al.: \u201cGarbage in, garbage out\u201d: mitigating human biases in data entry by means of artificial intelligence. Presented at the IFIP Conference on Human-Computer Interaction (2023)","DOI":"10.1007\/978-3-031-42286-7_2"},{"key":"4_CR38","unstructured":"Eckhardt, S., Bucher, A., Kalunder, M., Dolata, M., Agotai, D., Schwabe, G.: Secondary mental models: introducing conversational agents in financial advisory service encounters. In: ICIS 2023 Proceedings (2023)"},{"key":"4_CR39","unstructured":"Gregory, R., Muntermann, J.: Theorizing in design science research: inductive versus deductive approaches (2011)"},{"key":"4_CR40","doi-asserted-by":"crossref","unstructured":"Van de Ven, A.H.: Engaged Scholarship: A Guide for Organizational and Social Research. Oxford University Press (2007)","DOI":"10.1093\/oso\/9780199226290.001.0001"},{"key":"4_CR41","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-031-06516-3_9","volume-title":"DESRIST 2022","author":"S Eckhardt","year":"2022","unstructured":"Eckhardt, S., Sprenkamp, K., Zavolokina, L., Bauer, I., Schwabe, G.: Can artificial intelligence help used-car dealers survive in a data-driven used-car market? In: Drechsler, A., Gerber, A., Hevner, A. (eds.) DESRIST 2022. LNCS, vol. 13229, pp. 115\u2013127. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-06516-3_9"},{"key":"4_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/978-3-642-29863-9_28","volume-title":"Design Science Research in Information Systems. Advances in Theory and Practice","author":"C Sonnenberg","year":"2012","unstructured":"Sonnenberg, C., vom Brocke, J.: Evaluations in the science of the artificial \u2013 reconsidering the build-evaluate pattern in design science research. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds.) DESRIST 2012. LNCS, vol. 7286, pp. 381\u2013397. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-29863-9_28"}],"container-title":["Lecture Notes in Computer Science","Design Science Research for a Resilient Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-61175-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T23:12:36Z","timestamp":1716765156000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-61175-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031611742","9783031611759"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-61175-9_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DESRIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Design Science Research in Information Systems and Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trollh\u00e4ttan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"desrist2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/desrist2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}