{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:26:47Z","timestamp":1754155607139,"version":"3.41.2"},"reference-count":48,"publisher":"Emerald","issue":"8","license":[{"start":{"date-parts":[[2015,9,14]],"date-time":"2015-09-14T00:00:00Z","timestamp":1442188800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9,14]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 Feature fatigue (FF) will lead to negative Word-Of-Mouth (WOM), which damages the brand\u2019s long-term profit and ultimately decreases the manufacturer\u2019s customer equity (CE). It becomes severer in multi-generation products because of the significant impacts of earlier generation products on the CE of later ones. The purpose of this paper is to alleviate FF, it is imperative for designers to decide what features should be integrated to balance initial revenue and long-term profit so as to maximize CE. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 In this paper, a novel method based on the Norton-Bass model is proposed to alleviate FF of multi-generation products to help designers find optimal feature combination that maximizes CE. The authors take the effects of adding features on product capability and usability into account, and integrate product capability, usability, WOM and earlier-generation product\u2019s effects into the Norton-Bass model to predict the impacts of FF on CE in current product development. A case study of a virtual product is presented to illustrate and validate the proposed method. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The advantage of the proposed method is highlighted in the cases of large feature number, high-product complexity (low-product usability) and multi-generation products. The experiments show that the earlier generations do affect the later ones from the perspective of maximizing CE. The superiority of the proposed method compared with the traditional way to put all potential features into a product during the product development is demonstrated. And the more features, the larger CE obtained using the proposed model than the one obtained by traditional way. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 Although, there are reports attempting to analyze and alleviate FF, most of these studies still suffer the limitations that cannot point out what features should be added to the product with the objective of maximizing CE. In addition, few studies have been carried out to alleviate FF of multi-generation products. A novel method based on the Norton-Bass model and a genetic algorithm is proposed to alleviate FF of multi-generation products to help designers find optimal feature combination that maximizes CE.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/imds-03-2015-0104","type":"journal-article","created":{"date-parts":[[2015,9,11]],"date-time":"2015-09-11T07:50:46Z","timestamp":1441957846000},"page":"1435-1456","source":"Crossref","is-referenced-by-count":3,"title":["Alleviating feature fatigue of multi-generation products"],"prefix":"10.1108","volume":"115","author":[{"given":"Jinze","family":"Chai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liya","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanlong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingxing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122104024576200_b1","doi-asserted-by":"crossref","unstructured":"Anderson, E.W.\n                (1998), \u201cCustomer satisfaction and word of mouth\u201d, \n                  Journal of Service Research\n               , Vol. 1 No. 1, pp. 5-17, doi: 10.1177\/109467059800100102.","DOI":"10.1177\/109467059800100102"},{"key":"key2020122104024576200_b2","unstructured":"Angelis, M.D.\n                (2008), \u201cThe effect of adding features on product attractiveness: the role of product perceived congruity\u201d, PhD, University of Bologna, Bologna."},{"key":"key2020122104024576200_b3","doi-asserted-by":"crossref","unstructured":"Aydin, M.\n                (2012), \u201cCoordinating metaheuristic agents with swarm intelligence\u201d, \n                  Journal of Intelligent Manufacturing\n               , Vol. 3 No. 4, pp. 991-999.","DOI":"10.1007\/s10845-010-0435-y"},{"key":"key2020122104024576200_b4","doi-asserted-by":"crossref","unstructured":"Bansal, H.S.\n                and \n                  Voyer, P.A.\n                (2000), \u201cWord-of-mouth processes within a services purchase decision context\u201d, \n                  Journal of Service Research\n               , Vol. 3 No. 2, pp. 166-177.","DOI":"10.1177\/109467050032005"},{"key":"key2020122104024576200_b5","doi-asserted-by":"crossref","unstructured":"Bass, F.M.\n                (1969), \u201cA new product growth for model consumer durables\u201d, \n                  Management Science\n               , Vol. 15 No. 5, pp. 215-227.","DOI":"10.1287\/mnsc.15.5.215"},{"key":"key2020122104024576200_b6","doi-asserted-by":"crossref","unstructured":"Bass, F.M.\n                (2004), \u201cComments on \u2018a new product growth for model consumer durables\u2019: the bass model\u201d, \n                  Management Science\n               , Vol. 50 No. 12, pp. 1833-1840.","DOI":"10.1287\/mnsc.1040.0300"},{"key":"key2020122104024576200_b7","doi-asserted-by":"crossref","unstructured":"Bass, F.M.\n               , \n                  Krishnan, T.V.\n                and \n                  Jain, D.C.\n                (1994), \u201cWhy the bass model fits without decision variables\u201d, \n                  Marketing Science\n               , Vol. 13 No. 3, pp. 203-223.","DOI":"10.1287\/mksc.13.3.203"},{"key":"key2020122104024576200_b8","unstructured":"Berger, P.D.\n                and \n                  Nasr, N.I.\n                (1998), \u201cCustomer lifetime value: marketing models and applications\u201d, \n                  Journal of Interactive Marketing\n               , Vol. 12 No. 1, pp. 17-30, doi: 10.1002\/(sici)1520-6653(199824)12:117::aid-dir3\n\t\t\t\t\t>\n\t\t\t\t3.0.co;2-k."},{"key":"key2020122104024576200_b9","unstructured":"Blattberg, R.C.\n                and \n                  Deighton, J.\n                (1996), \u201cManage marketing by the customer equity test. 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