{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:09:15Z","timestamp":1754158155266,"version":"3.41.2"},"reference-count":11,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2008,4,11]],"date-time":"2008-04-11T00:00:00Z","timestamp":1207872000000},"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":[[2008,4,11]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>This study aims to investigate insurance policy loan applicant characteristics. Additionally, it reveals the behaviour patterns of heavy users who have applied for at least two loans. A policy loan prediction model is established which is designed to increase loan application rates.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The proposed model is implemented using data\u2010mining techniques and comprises two mechanisms: a business rule generator and a recommendation mechanism. Two analytical approaches, the C.5 and Apriori algorithm, are employed to analyse the profile and browsing log DBs of insured individuals. The prediction model is verified by actual data from a Taiwanese insurance company.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The data\u2010mining results reveal that five attributes are ultimately used to establish the prediction model, namely: gender, marketing channel, insurance type, area of policy owner, and assumed interest rate. Additionally, the analytical results also indicate that insured individuals apply for loans as a result of arbitrage inducement. The accuracy of loan applicant prediction can exceed 70 per cent. Finally, some interesting patterns emerge for heavy users, such as the finding that loan applicants are used to applying for loans continuously (loan application repetition is on average two to three times).<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Some policy owners who are unfamiliar with the web interface prefer to contact insurance personnel directly to discuss their insurance needs, and thus no browsing records are available for such users. In such cases only the profile could be collected and analysed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The proposed model enables insurance firms to locate potential loan applicants according to the data\u2010mining results. As in the illustration scenario in the paper, insurance personnel can contact these potential loan applicants before they submit loan applications to the bank. Additionally, loan\u2010related information is provided for online insurance users based on their browsing logs. The loan application rate is thus expected to increase, along with interest revenue.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>As long as the policy proceeds, the interest income from the policy loan seems to be a good option for extending insurance company operational earnings. Understanding the characteristics of loan applicants will provide helpful information. Besides, the proposed mechanism will be more appropriate to online users, who are unwilling to deal with unwanted information.<\/jats:p><\/jats:sec>","DOI":"10.1108\/14684520810879845","type":"journal-article","created":{"date-parts":[[2008,5,4]],"date-time":"2008-05-04T08:34:46Z","timestamp":1209890086000},"page":"221-235","source":"Crossref","is-referenced-by-count":2,"title":["Locating online loan applicants for an insurance company"],"prefix":"10.1108","volume":"32","author":[{"given":"Heng\u2010Li","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen\u2010Shu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022012719524011200_b1","doi-asserted-by":"crossref","unstructured":"Aciar, S., Zhang, D., Simoff, S. and Debenham, J. (2007), \u201cInformed recommender: basing recommendations on consumer product reviews\u201d, IEEE Intelligent Systems, Vol. 22 No. 3, pp. 39\u201047.","DOI":"10.1109\/MIS.2007.55"},{"key":"key2022012719524011200_b2","doi-asserted-by":"crossref","unstructured":"Adomavicius, G. (2006), \u201cToward the next generation of recommender systems: a survey of the state\u2010of\u2010the\u2010art and possible extensions\u201d, IEEE Transactions on Knowledge and Data Engineering, Vol. 17 No. 6, pp. 734\u201049.","DOI":"10.1109\/TKDE.2005.99"},{"key":"key2022012719524011200_b4","doi-asserted-by":"crossref","unstructured":"Bond, C.S. (2004), \u201cWeb user's information retrieval methods and skills\u201d, Online Information Review, Vol. 28 No. 4, pp. 254\u20109.","DOI":"10.1108\/14684520410553741"},{"key":"key2022012719524011200_b5","doi-asserted-by":"crossref","unstructured":"Carson, J.M. and Hoyt, R.E. (1992), \u201cAn econometric analysis of the demand for life insurance policy loans\u201d, Journal of Risk and Insurance, Vol. 59 No. 2, pp. 239\u201051.","DOI":"10.2307\/253190"},{"key":"key2022012719524011200_b6","unstructured":"Chandler, D. (1997), \u201cNew rules for tax deductions on life insurance policy loans\u201d, Life and Health Financial Services, Vol. 101 No. 36, p. 18."},{"key":"key2022012719524011200_b7","doi-asserted-by":"crossref","unstructured":"Day, E.A. and Hendershott, P.H. (1977), \u201cHousehold demand for policy loans\u201d, Journal of Risk and Insurance, Vol. 44, pp. 411\u201023.","DOI":"10.2307\/252199"},{"key":"key2022012719524011200_b8","doi-asserted-by":"crossref","unstructured":"Hoshi, T. and Ito, T. (2004), \u201cFinancial regulation in Japan: a sixth year review of the financial services agency\u201d, Journal of Financial Stability, Vol. 1, pp. 229\u201043.","DOI":"10.1016\/j.jfs.2004.09.007"},{"key":"key2022012719524011200_b9","doi-asserted-by":"crossref","unstructured":"Melliou, M. and Wilson, T.D. (1995), \u201cBusiness process redesign and the UK insurance industry\u201d, International Journal of Information Management, Vol. 15 No. 3, pp. 181\u201098.","DOI":"10.1016\/0268-4012(95)00011-U"},{"key":"key2022012719524011200_b10","unstructured":"Paulson, M. (1989), \u201cTapping your insurance for cash\u201d, Changing Times, Vol. 43 No. 10, pp. 85\u20106."},{"key":"key2022012719524011200_b11","doi-asserted-by":"crossref","unstructured":"Schott, F.H. (2001), \u201cDisintermediation through policy loans at life insurance companies\u201d, The Journal of Finance, Vol. 26, pp. 719\u201029.","DOI":"10.1111\/j.1540-6261.1971.tb01725.x"},{"key":"key2022012719524011200_b13","doi-asserted-by":"crossref","unstructured":"Xie, H. (2004), \u201cOnline IR system evaluation: online database versus web search engines\u201d, Online Information Review, Vol. 28 No. 3, pp. 211\u201019.","DOI":"10.1108\/14684520410543652"}],"container-title":["Online Information Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/14684520810879845","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/14684520810879845\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/14684520810879845\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T00:41:00Z","timestamp":1753404060000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/oir\/article\/32\/2\/221-235\/458158"}},"subtitle":[],"editor":[{"given":"I\u2010Hsien","family":"Ting","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2008,4,11]]},"references-count":11,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2008,4,11]]}},"alternative-id":["10.1108\/14684520810879845"],"URL":"https:\/\/doi.org\/10.1108\/14684520810879845","relation":{},"ISSN":["1468-4527"],"issn-type":[{"type":"print","value":"1468-4527"}],"subject":[],"published":{"date-parts":[[2008,4,11]]}}}