{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T18:00:23Z","timestamp":1784397623999,"version":"3.55.0"},"reference-count":76,"publisher":"Emerald","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,25]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study constructed an information search process model based on costs and benefits to reflect different information search processes under different decisions from a behavioural economics perspective.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This study used a deductive approach to conceptualise the costs, benefits, and uncertainties of the information search process. Subsequently, we constructed an information search process model based on the costs and benefits using graphical reasoning, loss aversion theory, bounded rationality theory, the satisficing theory of behavioural economics, and the uncertainty changes of information search process.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The model revealed four types of user behaviours in the information search process: (1) avoiding search at the initiation of the search process; (2) exiting in the middle of a search; (3) stopping at the point of satisficing; and (4) continuing the search until experiencing physical discomfort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>The model constructed in this study treats the information search as a process based on costs and benefits with uncertainty. This model integrates information search avoidance and stopping into an information search process model. The model identifies users\u2019 bounded rationality by evaluating ideal and real situations. Moreover, the model explains relative and absolute information overloads and the area beyond the user\u2019s bounded rationality. These findings could help improve users\u2019 information literacy and optimise information systems.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/jd-12-2023-0259","type":"journal-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T09:07:10Z","timestamp":1719824830000},"page":"1494-1507","source":"Crossref","is-referenced-by-count":6,"title":["Information search process model based on costs and benefits: a behavioural economics perspective"],"prefix":"10.1108","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-7118","authenticated-orcid":true,"given":"Jinglin","family":"Qi","sequence":"first","affiliation":[{"name":"Nanjing Agricultural University College of Information Management, , ,","place":["Nanjing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2466-2530","authenticated-orcid":true,"given":"Zhengbiao","family":"Han","sequence":"additional","affiliation":[{"name":"Nanjing Agricultural University College of Information Management, , ,","place":["Nanjing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5150-9101","authenticated-orcid":true,"given":"Preben","family":"Hansen","sequence":"additional","affiliation":[{"name":"Stockholms Universitet Department of Computer and Systems Sciences, , ,","place":["Stockholm, Sweden"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"issue":"1","key":"2026010700480937700_ref001","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1002\/asi.10024","article-title":"Bounded rationality and satisficing in young people's Web-based decision making","volume":"53","author":"Agosto","year":"2002","journal-title":"Journal of the American Society for Information Science and Technology"},{"issue":"1","key":"2026010700480937700_ref002","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1177\/02683962211016000","article-title":"Behavioral economics in information systems research: critical analysis and research strategies","volume":"37","author":"Arnott","year":"2022","journal-title":"Journal of Information Technology"},{"key":"2026010700480937700_ref003","first-page":"15","article-title":"The economics in interactive information retrieval","author":"Azzopardi","year":"2011"},{"key":"2026010700480937700_ref004","first-page":"3","article-title":"Modelling interaction with economic models of search","author":"Azzopardi","year":"2014"},{"key":"2026010700480937700_ref005","first-page":"59","article-title":"An analysis of the cost and benefit of search interactions","author":"Azzopardi","year":"2016"},{"key":"2026010700480937700_ref006","first-page":"23","article-title":"How query cost affects search behavior","author":"Azzopardi","year":"2013"},{"issue":"1","key":"2026010700480937700_ref007","first-page":"133","article-title":"Anomalous states of knowledge as a basis for information retrieval","volume":"5","author":"Belkin","year":"1980","journal-title":"Canadian Journal of Information Science"},{"issue":"2","key":"2026010700480937700_ref008","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1108\/eb026722","article-title":"ASK for information retrieval: part I. background and theory","volume":"38","author":"Belkin","year":"1982","journal-title":"Journal of Documentation"},{"key":"2026010700480937700_ref009","unstructured":"Berryman, J.\n           (2006), \u201cWhat defines \u2018enough\u2019 information? 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