{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T23:47:02Z","timestamp":1770680822931,"version":"3.49.0"},"reference-count":58,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2017,11,20]],"date-time":"2017-11-20T00:00:00Z","timestamp":1511136000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AJIM"],"published-print":{"date-parts":[[2017,11,20]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to investigate the predictive factors of information seeking behavior of smartphone users from the cross-generational perspective. Based on existing literature, the two most popular types of information seeking behavior of smartphone users were determined: social information seeking behavior; and functional\/cognitive information seeking behavior.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>A questionnaire comprising 66 questions was administered online to 216 smartphone users of three age groups according to three generations: generation X, Y (millennials) and Z. Several predictive factors were examined for each of these information seeking behavior types: generation, gender, personality traits (the Big Five), daily usage time, period of ownership, various application utilization and the level of emotional gain from smartphones.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>There is a trade-off between the two types of information seeking behavior. Also, men exhibited significantly more functional\/cognitive information seeking behavior than women, and younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, significant differences in smartphone apps\u2019 utilization, information seeking behavior types and their predictive factors were found among users from different generations. Extraversion was positively related to social information seeking behavior only for generations X and Y, while WhatsApp usage was one of the strongest predictive factors only for generation Z.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>This research has practical implications for information system design, education, e-commerce and libraries.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This is a first study that systematically examines predictive factors of the two prominent types of information seeking behavior on smartphones from the cross-generational perspective.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ajim-04-2017-0083","type":"journal-article","created":{"date-parts":[[2017,9,14]],"date-time":"2017-09-14T07:22:16Z","timestamp":1505373736000},"page":"721-739","source":"Crossref","is-referenced-by-count":22,"title":["Cross-generational analysis of information seeking behavior of smartphone users"],"prefix":"10.1108","volume":"69","author":[{"given":"Maayan","family":"Zhitomirsky-Geffet","sequence":"first","affiliation":[]},{"given":"Maya","family":"Blau","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"1","key":"key2020120419120518200_ref001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/meet.2014.14505101058","article-title":"Exploring social context in mobile information behaviour","volume":"51","year":"2014","journal-title":"Proceedings of the American Society for Information Science and Technology"},{"key":"key2020120419120518200_ref002","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.chb.2016.07.063","article-title":"Smartphone habit and behavior in Brunei: personalization, gender, and generation gap","volume":"64","year":"2016","journal-title":"Computers in Human Behavior"},{"issue":"1","key":"key2020120419120518200_ref003","first-page":"63","article-title":"Analysis of generation Y workforce motivation using multi-attribute utility theory","volume":"18","year":"2011","journal-title":"Defense Acquisition Research Journal"},{"issue":"4","key":"key2020120419120518200_ref060","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1402256.1402259","article-title":"Improved search engines and navigation preference in personal information management","volume":"26","year":"2008","journal-title":"ACM Transactions on Information Systems"},{"key":"key2020120419120518200_ref004","unstructured":"Brinthaupt, T.M. and Lipka, R.P. 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