{"id":526,"date":"2023-03-29T13:43:05","date_gmt":"2023-03-29T05:43:05","guid":{"rendered":"http:\/\/cm.wp.shu.edu.tw\/?page_id=526"},"modified":"2025-10-14T08:49:17","modified_gmt":"2025-10-14T00:49:17","slug":"%e6%b8%a9%e5%bf%97%e7%9a%93-wen-chih-hao","status":"publish","type":"page","link":"http:\/\/cm.wp.shu.edu.tw\/?page_id=526","title":{"rendered":"\u6e29\u5fd7\u7693 Wen, Chih-Hao"},"content":{"rendered":"<table style=\"width: 99.0999%\">\n<tbody>\n<tr>\n<td style=\"width: 36.9449%\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-686\" src=\"http:\/\/wp.shu.edu.tw\/wp-ctt\/uploads\/sites\/59\/2023\/05\/20200812010559517529.jpg\" alt=\"\" width=\"1103\" height=\"1471\" srcset=\"http:\/\/wp.shu.edu.tw\/wp-ctt\/uploads\/sites\/59\/2023\/05\/20200812010559517529.jpg 1103w, http:\/\/wp.shu.edu.tw\/wp-ctt\/uploads\/sites\/59\/2023\/05\/20200812010559517529-768x1024.jpg 768w\" sizes=\"auto, (max-width: 1103px) 100vw, 1103px\" \/><\/td>\n<td style=\"width: 111.545%\">\n<h3><strong>\u6e29\u5fd7\u7693 Wen, Chih-Hao<\/strong><\/h3>\n<p><strong>\u526f\u6559\u6388\u517c\u7cfb\u4e3b\u4efb\uff1b\u517c\u5927\u6578\u64da\u66a8\u6821\u52d9\u7814\u7a76\u4e2d\u5fc3\u4e3b\u4efb<\/strong><\/p>\n<p><strong>\u00a0Chair &amp; Associate Professor &amp; Chair, Big Data and Institutional Research Center<\/strong><\/p>\n<ul>\n<li><label>\u6700\u9ad8\u5b78\u6b77\uff1a<\/label>\u570b\u7acb\u4e2d\u592e\u5927\u5b78 \u4f01\u696d\u7ba1\u7406\u535a\u58eb(\u5927\u6578\u64da\u8207\u667a\u6167\u4f01\u696d\u7d44)<br \/>\nPh. D. in Business Administration, National Central University, Taiwan<\/li>\n<li>\u5c08\u9577\u9818\u57df\uff1a\u50b3\u64ad\u5927\u6578\u64da\u5206\u6790\u3001\u4eba\u5de5\u667a\u6167\u751f\u6210\u5167\u5bb9\u61c9\u7528\u8207\u7ba1\u7406\u3001\u6578\u4f4d\u5167\u5bb9\u63a8\u85a6\u6a5f\u5236\u539f\u7406\u8207\u61c9\u7528\u3001\u5a92\u9ad4\u8cc7\u6599\u5eab\u884c\u92b7\u3001\u5a92\u9ad4\u7522\u696d\u96fb\u5b50\u5546\u52d9\u61c9\u7528\u3001\u50b3\u64ad\u7522\u696d\u7684\u7ba1\u7406\u5be6\u8e10\u00a0 \u00a0Big Data Analytics in Communication, Applications and Management of AIGC, Principles and Applications of Digital Content Recommendation Systems, Media Database Marketing, E-Commerce Applications in the Media Industry, Managerial Practices in the Communication Industry<\/li>\n<\/ul>\n<ul>\n<li><label>\u806f\u7d61\u96fb\u8a71\uff1a<\/label>(02)2236-8225\u8f4983311<\/li>\n<li><label>\u96fb\u5b50\u90f5\u4ef6\uff1a<\/label>chwen@mail.shu.edu.tw<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 148.49%\" colspan=\"2\">\n<blockquote>\n<h5><strong>\u5b78\u6b77<\/strong><\/h5>\n<\/blockquote>\n<div>\u570b\u7acb\u4e2d\u592e\u5927\u5b78\u4f01\u696d\u7ba1\u7406\u535a\u58eb (\u5927\u6578\u64da\u8207\u667a\u6167\u4f01\u696d\u7d44)<\/div>\n<div><\/div>\n<blockquote>\n<h5><strong>\u671f\u520a\u8ad6\u6587<\/strong><\/h5>\n<\/blockquote>\n<ol>\n<li>Huang, Y. T., Chou, C. T., <strong>Wen, C. H.<\/strong>, &amp; Chen, M. C. (2024). Optimized vehicle exploitation period decision in cold-chain logistics companies. <strong><em>Research in Transportation Business &amp; Management<\/em><\/strong>, <strong><em>57<\/em><\/strong>, 101235. (SSCI) (ISSN: 2210-5395) (\u51fa\u7248\u8005\uff1aELSEVIE )<\/li>\n<li>\u5b6b\u627f\u904b\u3001<strong>\u6e29\u5fd7\u7693<\/strong>\u3001\u77f3\u88d5\u5ddd (2023)\u3002\u5bec\u653e\u5c3a\u5ea6\u8207\u6578\u4f4d\u8ff7\u5f69\u670d\u914d\u9069\u5ea6\u4e4b\u7814\u7a76\u3002<strong>\u4eba\u56e0\u5de5\u7a0b\u5b78\u520a<\/strong><strong>\uff0c24 <\/strong>(1)\uff0c62-73\u3002https:\/\/doi.org\/10.6273\/JES.202301_24(1).0006 (ISSN: 20765517) (\u51fa\u7248\u8005\uff1a\u4e2d\u83ef\u6c11\u570b\u4eba\u56e0\u5de5\u7a0b\u5b78\u6703)<\/li>\n<li><strong>Wen,C. H.*,<\/strong> Cheng, C. C., Shih, Y. C. (2022). Artificial Intelligence Technologies for More Flexible Recommendation in Uniforms. <strong><em>Data Technologies and Applications<\/em><\/strong>. <strong><em>56<\/em><\/strong>(4), 626-643. https:\/\/doi.org\/10.1108\/DTA-09-2021-0230 (SSCI) (ISSN: 25149288) (\u51fa\u7248\u8005\uff1aEmerald Publishing Limited )<\/li>\n<li>\u6797\u5ff5\u5fb7\u3001<strong>\u6e29\u5fd7\u7693*<\/strong> (2021)\u3002\u904b\u7528\u96fb\u8166\u8996\u89ba\u65bc\u570b\u8ecd\u526f\u4f9b\u7ad9\u6c34\u679c\u54c1\u8cea\u6aa2\u6e2c\u4e4b\u7814\u7a76\u3002<strong>\u9678\u8ecd\u5f8c\u52e4\u5b63\u520a<\/strong>\u3002\u6c11\u570b110\u5e74\u7b2c4\u671f\uff0c\u980127-46\u3002DOI:10.3966\/230674382021081103003 (ISSN: 23067438) (\u51fa\u7248\u8005\uff1a\u9678\u8ecd\u5f8c\u52e4\u6307\u63ee\u90e8)<\/li>\n<li><strong>Wen,C. H.*,<\/strong> Shih, Y. C. (2021). Designing New Sizing Bulletproof Vests for Taiwanese Soldiers. <strong><em>International Journal of Clothing Science and Technology<\/em><\/strong>. 33(3), 321-335. https:\/\/doi.org\/10.1108\/IJCST-09-2019-0150 (SCI) (ISSN: 09556222) (\u51fa\u7248\u8005\uff1aEmerald Publishing Limited ) <strong>\u3010Outstanding Paper in the 2022 Emerald Literati Awards\u3011<\/strong><\/li>\n<li>Hsu, P. Y., Cheng, M. S., <strong>Wen, C. H.<\/strong>, &amp; Ko, Y. H. (2021). Identifying Cross Section Technology Application Through Chinese Patent Analysis. <strong><em>Intelligent Automation &amp; Soft Computing<\/em><\/strong>. <strong><em>27<\/em><\/strong>(1), 269-285, doi: https:\/\/doi.org\/32604\/iasc.2021.013404 (SCI) (ISSN: 2326-005X) (\u51fa\u7248\u8005\uff1aTech Science Press)<\/li>\n<li>\u937e\u5b9c\u6a3a\u3001\u912d\u5fd7\u5c55\u3001<strong>\u6e29\u5fd7\u7693<\/strong> (2020)\u3002\u904b\u7528\u8cc7\u6599\u63a2\u52d8\u5efa\u7acb\u570b\u8ecd\u670d\u88dd\u5c3a\u78bc\u7cfb\u7d71\u3002<strong>\u4eba\u56e0\u5de5\u7a0b\u5b78\u520a<\/strong><strong>\uff0c22 <\/strong>(1)\uff0c45-59\u3002(ISSN: 20765517) (\u51fa\u7248\u8005\uff1a\u4e2d\u83ef\u6c11\u570b\u4eba\u56e0\u5de5\u7a0b\u5b78\u6703)<\/li>\n<\/ol>\n<blockquote>\n<h5><strong>\u7814\u8a0e\u6703\u8ad6\u6587<\/strong><\/h5>\n<\/blockquote>\n<ol>\n<li>\u6e29\u5fd7\u7693 (2025\u5e745\u6708)\u3002AI \u8f14\u52a9\u5927\u5b78\u62db\u751f\u6c7a\u7b56\uff1a\u6a5f\u5668\u5b78\u7fd2\u65bc\u66f8\u9762\u5be9\u67e5\u8a55\u4f30\u7684\u61c9\u7528\u8207\u6311\u6230\u3002\u7b2c20\u5c46\u50b3\u64ad\u7ba1\u7406\u767c\u5c55\u8207\u8da8\u52e2\u5b78\u8853\u7814\u8a0e\u6703\uff0c\u4e16\u65b0\u5927\u5b78\uff0c\u53f0\u5317\u5e02\u3002<\/li>\n<li>\u6797\u5fd7\u9686\u3001\u77f3\u88d5\u5ddd\u3001\u9b91\u828a\u7d14\u3001\u6e29\u5fd7\u7693\u3001\u9673\u5a77\u5a77 (2025\u5e743\u6708)\u3002\u6211\u570b\u8ecd\u8077\u4eba\u54e1\u8eab\u9ad4\u7d44\u6210\u985e\u578b\u4e4b\u7814\u7a76\u3002\u7b2c32\u5c46\u4e2d\u83ef\u6c11\u570b\u4eba\u56e0\u5de5\u7a0b\u5b78\u6703\u5e74\u6703\u66a8\u570b\u969b\u5b78\u8853\u7814\u8a0e\u6703\uff0c\u864e\u5c3e\u79d1\u5927\uff0c\u96f2\u6797\u7e23\u3002<\/li>\n<li>\u5b6b\u627f\u904b\u3001<strong>\u6e29\u5fd7\u7693<\/strong>\u3001\u77f3\u88d5\u5ddd (2022\u5e743\u6708)\u3002\u61c9\u7528\u4eba\u9ad4\u8a08\u6e2c\u6578\u64da\u5206\u6790\u8eab\u578b\u5bec\u653e\u5c3a\u5ea6\u5efa\u7acb\u670d\u88dd\u578b\u865f\u63a8\u85a6\u6a21\u578b -\u4ee5\u570b\u8ecd\u6578\u4f4d\u8ff7\u5f69\u670d\u70ba\u4f8b\u3002\u7b2c\u4e8c\u5341\u4e5d\u5c46\u4e2d\u83ef\u6c11\u570b\u4eba\u56e0\u5de5\u7a0b\u5b78\u6703\u5e74\u6703\u66a8\u570b\u969b\u5b78\u8853\u7814\u8a0e\u6703\uff0c\u5357\u81fa\u79d1\u6280\u5927\u5b78\uff0c\u53f0\u5357\u5e02\u3002<strong>(\u4f73\u4f5c\u8ad6\u6587)<\/strong><\/li>\n<li>\u5b6b\u627f\u904b\u3001<strong>\u6e29\u5fd7\u7693<\/strong>\u3001\u77f3\u88d5\u5ddd (2021\u5e7411\u6708)\u3002\u61c9\u7528\u4eba\u9ad4\u8a08\u6e2c\u5927\u6578\u64da\u5efa\u7acb\u670d\u88dd\u578b\u865f\u63a8\u85a6\u6a21\u578b-\u4ee5\u570b\u8ecd\u300c\u8ecd\u4fbf\u670d\u300d\u8207\u300c\u6578\u4f4d\u8ff7\u5f69\u670d\u300d\u70ba\u4f8b\u3002\u4e2d\u570b\u5de5\u696d\u5de5\u7a0b\u5b78\u6703 110 \u5e74\u5ea6\u5e74\u6703\u66a8\u5b78\u8853\u7814\u8a0e\u6703\u767c\u8868\u4e4b\uf941\u6587\uff0c\u6210\u529f\u5927\u5b78\uff0c\u53f0\u5357\u5e02\u3002<strong>(\u5927\u6703\u6700\u4f73\u8ad6\u6587)<\/strong><\/li>\n<li>\u6797\u5ff5\u5fb7\u3001<strong>\u6e29\u5fd7\u7693<\/strong> (2021\u5e745\u6708)\u3002\u61c9\u7528\u96fb\u8166\u8996\u89ba\u65b9\u6cd5\u65bc\u6c34\u679c\u54c1\u8cea\u6aa2\u6e2c\u4e4b\u7814\u7a76\u3002\u7b2c 29 \u5c46\u570b\u9632\u7ba1\u7406\u5b78\u8853\u66a8\u5be6\u52d9\u7814\u8a0e\u6703\u767c\u8868\u4e4b\uf941\u6587\uff0c\u570b\u9632\u5927\u5b78\uff0c\u53f0\u5317\u5e02\u3002<strong>(\u904b\u7c4c\u7ba1\u7406\u5206\u5834\u512a\u52dd)<\/strong><\/li>\n<\/ol>\n<blockquote>\n<h5><strong>\u5c08\u66f8<\/strong><\/h5>\n<\/blockquote>\n<ol>\n<li><strong><u>\u6e29\u5fd7\u7693<\/u><\/strong>\u3001\u3001\u7533\u5143\u5b8f\u3001\u5289\u80b2\u6d25 (2024)\u3002\u5546\u696d\u5927\u6578\u64da\u7684\u8996\u89ba\u5316\u8a2d\u8a08\u8207 Power BI \u5be6\u4f5c\u61c9\u7528\u3002\u53f0\u5317\u5e02\uff1a\u7881\u5cf0\u8cc7\u8a0a\u80a1\u4efd\u6709\u9650\u516c\u53f8\u3002 (ISBN\uff1a9786263248786)<\/li>\n<li>\u8a31\u9298\u5bb6\u3001<strong><u>\u6e29\u5fd7\u7693<\/u><\/strong>\u3001\u9673\u6842\u82ac (2020)\u3002\u60c5\u5883\u5f0f\u96f2\u7aefAPP\u8a2d\u8a08\u3002\u53f0\u5317\u5e02\uff1a\u7881\u5cf0\u8cc7\u8a0a\u80a1\u4efd\u6709\u9650\u516c\u53f8\u3002 (ISBN\uff1a9789865026479)<\/li>\n<\/ol>\n<blockquote>\n<h5><strong>\u7814\u7a76\u8a08\u756b<\/strong><\/h5>\n<\/blockquote>\n<ol>\n<li>\u6e29\u5fd7\u7693 (2022-2025)\u3002\u5efa\u7acb\u6578\u4f4d\u8ff7\u5f69\u670d\u88dd\u591a\u5143\u81ea\u52d5\u914d\u9069\u6a21\u578b\u7684\u89e3\u6c7a\u65b9\u6848 (MOST 111-2221-E-128 -001 -MY3)\uff0c\u79d1\u6280\u90e8 MOST (\u591a\u5e74\u671f)\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2025)\u3002\u4ee5\u554f\u984c\u5c0e\u5411\u5b78\u7fd2\u6cd5\u6a21\u64ec\u771f\u5be6\u60c5\u5883\uff1a\u57f9\u990a\u50b3\u64ad\u7522\u696d\u6240\u9700\u6838\u5fc3\u6280\u80fd\u7684\u5be6\u8b49\u7814\u7a76 (MOE 114-TPR-04)\uff0c\u6559\u80b2\u90e8\u6559\u5b78\u5be6\u8e10\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2023)\u3002\u539f\u6c11\u751f\u5728\u6821\u6210\u7e3e\u53ca\u8868\u73fe\u8207\u7562\u696d\u6d41\u5411\u95dc\u806f\u5206\u6790\u3002\u4e16\u65b0\u5927\u5b78\u6821\u52d9\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2023)\u3002\u7d93\u6fdf\u53ca\u6587\u5316\u4e0d\u5229\u751f\u5728\u6821\u6210\u7e3e\u53ca\u8868\u73fe\u8207\u7562\u696d\u6d41\u5411\u95dc\u806f\u5206\u6790\u3002\u4e16\u65b0\u5927\u5b78\u6821\u52d9\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2023)\u3002\u9074\u9078\u6559\u5b78\u5353\u8d8a\u7e3e\u512a\u6559\u5e2b\u4e4b\u8ab2\u7a0b\u7d9c\u5408\u8868\u73fe\u5206\u6790\u3002\u4e16\u65b0\u5927\u5b78\u6821\u52d9\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2023)\u3002\u4ee5\u8cea\u5316\u7814\u7a76\u5206\u6790\u4e0d\u540c\u6559\u5b78\u6a23\u614b\u4e4b\u8cea\u5316\u8a55\u91cf\u56de\u994b\uff1a\u4ee5\u3010\u5168\u5a92\u9ad4\u8b58\u8b80\u3011\u53ca\u3010\u904b\u7b97\u601d\u7dad\u8207\u7a0b\u5f0f\u8a2d\u8a08\u3011\u70ba\u4f8b\u3002\u4e16\u65b0\u5927\u5b78\u6821\u52d9\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 (2023)\u3002\u57fa\u65bc\u5927\u6578\u64da\u5206\u6790\u7684\u62db\u751f\u5c08\u696d\u5316\u61c9\u7528\uff1a\u500b\u4eba\u7533\u8acb\u5165\u5b78\u53ef\u9078\u7cfb (\u7d44) \u6578\u7684\u8abf\u6574\u7b56\u7565\u3002\u4e16\u65b0\u5927\u5b78\u6821\u52d9\u7814\u7a76\u8a08\u756b\u3002<\/li>\n<li>\u6e29\u5fd7\u7693 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