{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T19:35:00Z","timestamp":1772220900371,"version":"3.50.1"},"reference-count":59,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T00:00:00Z","timestamp":1502668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JM2"],"published-print":{"date-parts":[[2017,8,14]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this study is to propose a measure for earned attention and a model and procedure for the maximization of earned attention by a company over a period of time.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Utility functions are used as the base of the earned attention measure. An evolutionary algorithm \u2013 a memetic algorithm \u2013 is applied to identify strategies that aim to maximize earned attention. Computational analysis is performed resorting to simulated data, and the memetic algorithm is assessed through the comparison with a standard steepest ascent heuristic.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The shape of the utility functions considered in the model has a huge impact on the characteristics of the best strategies, with actions focused on increasing a single variable being preferred in case of constant marginal utility, and more balanced strategies having a better performance in the case of decreasing marginal utility. The memetic algorithm is shown to have a much better performance that the steepest ascent procedure.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>A new mathematical model for earned attention is proposed, and an approach that has few applications in business problems \u2013 a memetic algorithm \u2013 is tailored to the model and applied to identify solutions.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jm2-10-2015-0078","type":"journal-article","created":{"date-parts":[[2017,7,3]],"date-time":"2017-07-03T07:51:26Z","timestamp":1499068286000},"page":"364-385","source":"Crossref","is-referenced-by-count":7,"title":["A memetic algorithm for maximizing earned attention in social media"],"prefix":"10.1108","volume":"12","author":[{"given":"Pedro","family":"Godinho","sequence":"first","affiliation":[]},{"given":"Luiz","family":"Moutinho","sequence":"additional","affiliation":[]},{"given":"Margherita","family":"Pagani","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"2","key":"key2020120616334714400_ref001","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1057\/dbm.2010.8","article-title":"Corporate blogs as e-CRM tools \u2013 Building consumer engagement through content management","volume":"17","year":"2010","journal-title":"Journal of Database Marketing & Customer Strategy Management"},{"issue":"4","key":"key2020120616334714400_ref002","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1086\/209080","article-title":"Dimensions of consumer expertise","volume":"13","year":"1987","journal-title":"Journal of Consumer Research"},{"issue":"2","key":"key2020120616334714400_ref003","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1177\/109467050032001","article-title":"Strengthening the service profit chain","volume":"3","year":"2000","journal-title":"Journal of Service Research"},{"issue":"2","key":"key2020120616334714400_ref004","first-page":"1","article-title":"The second digital revolution","volume":"27","year":"2001","journal-title":"Journal of General Management"},{"issue":"5","key":"key2020120616334714400_ref005","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1287\/mnsc.15.5.215","article-title":"A new product growth for model consumer variables","volume":"15","year":"1969","journal-title":"Management Science"},{"key":"key2020120616334714400_ref008","article-title":"Marketing opportunities with social networks","year":"2011","journal-title":"Journal of Internet Social Networking and Virtual Communities"},{"issue":"1","key":"key2020120616334714400_ref009","doi-asserted-by":"crossref","first-page":"63","DOI":"10.2753\/MTP1069-6679170105","article-title":"The process of customer engagement: a conceptual framework","volume":"17","year":"2009","journal-title":"Journal of Marketing Theory and Practice"},{"issue":"3","key":"key2020120616334714400_ref010","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1177\/1094670511411703","article-title":"Customer engagement: conceptual domain, fundamental propositions, and implications for research","volume":"14","year":"2011","journal-title":"Journal of Service Research"},{"key":"key2020120616334714400_ref011","first-page":"176","article-title":"A hyperheuristic approach to scheduling a sales summit","volume-title":"Proceeding Theory of Automated Timetabling PATAT 2000, Lecture Notes in Computer Science","year":"2000"},{"key":"key2020120616334714400_ref012","volume-title":"Flow: The Psychology of Optimal Experience","year":"1990"},{"key":"key2020120616334714400_ref013","unstructured":"Dennison, G., Bourdage-Braun, S. and Chetuparambil, M. 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