{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T18:06:25Z","timestamp":1774634785341,"version":"3.50.1"},"reference-count":33,"publisher":"Emerald","issue":"3\/4","license":[{"start":{"date-parts":[[2014,4,1]],"date-time":"2014-04-01T00:00:00Z","timestamp":1396310400000},"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":[[2014,4,1]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 The phenomenon of \u201cpoor information\u201d exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/k-06-2013-0123","type":"journal-article","created":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T06:23:17Z","timestamp":1395728597000},"page":"601-613","source":"Crossref","is-referenced-by-count":14,"title":["A new method for evaluating tour online review based on grey 2-tuple linguistic"],"prefix":"10.1108","volume":"43","author":[{"given":"Chuanmin","family":"Mi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Shan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Qiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yosa","family":"Stephanie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2021010121335074200_b1","doi-asserted-by":"crossref","unstructured":"Coles, T.\n , \n Fenclova, E.\n and \n Dinan, C.\n (2013), \u201cTourism and corporate social responsibility: a critical review and research agenda\u201d, Tourism Management Perspectives, Vol. 6, pp. 122-141.","DOI":"10.1016\/j.tmp.2013.02.001"},{"key":"key2021010121335074200_b2","doi-asserted-by":"crossref","unstructured":"Ding, X.\n and \n Liu, B.\n (2007), \u201cThe utility of linguistic rules in opinion mining\u201d, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, Amsterdam.","DOI":"10.1145\/1277741.1277921"},{"key":"key2021010121335074200_b3","unstructured":"European Commission CSR\n (2011), available at: www.ec.europa.eu\/enterprise\/policies\/sustainable-business\/corporate-social-responsibility\/index_en.htm (accessed 28 November 2013)."},{"key":"key2021010121335074200_b4","doi-asserted-by":"crossref","unstructured":"Herrera, F.\n and \n Martinez, L.\n (2001), \u201cA model based on linguistic 2-tuple for dealing with multi-granular hierarchical linguistic contexts in multi-expert decision making\u201d, IEEE Transactions on Systems, Man, and Cybernetics (Part B: Cybernetics), Vol. 31 No. 2, pp. 227-234.","DOI":"10.1109\/3477.915345"},{"key":"key2021010121335074200_b5","doi-asserted-by":"crossref","unstructured":"Hu, M.\n and \n Liu, B.\n (2004), \u201cMining and summarizing customer reviews\u201d, Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168-177.","DOI":"10.1145\/1014052.1014073"},{"key":"key2021010121335074200_b6","doi-asserted-by":"crossref","unstructured":"Inoue, Y.\n and \n Lee, S.\n (2011), \u201cEffects of different dimensions of corporate social responsibility on corporate financial performance in tourism-related industries\u201d, Tourism Management, Vol. 32 No. 4, pp. 790-804.","DOI":"10.1016\/j.tourman.2010.06.019"},{"key":"key2021010121335074200_b7","unstructured":"ISO 26000 \u2013 Social Responsibility\n (2010), available at: www.iso.org\/iso\/home\/standards\/iso26000. htm (accessed 26 November 2013)."},{"key":"key2021010121335074200_b8","doi-asserted-by":"crossref","unstructured":"Jeong, H.J.\n , \n Paek, H.\n and \n Lee, M.\n (2013), \u201cCorporate social responsibility effects on social network sites\u201d, Journal of Business Research, Vol. 66 No. 10, pp. 1889-1895.","DOI":"10.1016\/j.jbusres.2013.02.010"},{"key":"key2021010121335074200_b9","doi-asserted-by":"crossref","unstructured":"Jiang, J.\n , \n Gretzel, U.\n and \n Law, R.\n (2010), \u201cDo negative experiences always lead to dissatisfaction? 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