{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,30]],"date-time":"2025-11-30T22:28:25Z","timestamp":1764541705636,"version":"3.41.2"},"reference-count":33,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2013,1,25]],"date-time":"2013-01-25T00:00:00Z","timestamp":1359072000000},"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":[[2013,1,25]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to propose an optimal technology selection (OTS) method considering technology alternatives' required input levels of resource, to help companies select an optimal technology.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The proposed method clustered technology alternatives according to their required input levels of resource. After that, in each cluster, the proposed method used data envelopment analysis\u2010assurance region (DEA\u2010AR) and analytic hierarchy process (AHP) rating method to evaluate the efficiencies and priorities of the technology alternatives, respectively. Finally, combined scores of the technology alternatives were calculated. A company can choose a proper technology cluster, and then select the technology alternative with the highest combined score within the selected cluster as the optimal technology.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The results showed that the OTS method cannot only select suitable technology which accords with a company's actual input capabilities, but also provide a more accurate selection result.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Traditionally, technologies are evaluated without considering the technologies' required input levels, and simply ranked for selection. However, there are differences between a company's actual resource levels and a selected technology's required input levels of resource. This study proposes an integrated method to evaluate technology systematically and provides a more reasonable selection process for selecting optimal technology.<\/jats:p><\/jats:sec>","DOI":"10.1108\/02635571311289665","type":"journal-article","created":{"date-parts":[[2013,3,25]],"date-time":"2013-03-25T10:42:24Z","timestamp":1364208144000},"page":"57-76","source":"Crossref","is-referenced-by-count":15,"title":["Optimal technology selection considering input levels of resource"],"prefix":"10.1108","volume":"113","author":[{"given":"Peng","family":"Yu","sequence":"first","affiliation":[]},{"given":"Jang","family":"Hee Lee","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022021820292798800_b1","unstructured":"Ainapur, B., Singh, R. and Vittal, P.R. (2011), \u201cTOC approach for supply chain performance enhancement\u201d, International Journal of Business Research and Management, Vol. 2 No. 4, pp. 163\u201078."},{"key":"key2022021820292798800_b2","doi-asserted-by":"crossref","unstructured":"Charnes, A., Cooper, W.W. and Rhodes, E. (1978), \u201cMeasuring the efficiency of decision making units\u201d, European Journal of Operational Research, Vol. 2 No. 6, pp. 429\u201044.","DOI":"10.1016\/0377-2217(78)90138-8"},{"key":"key2022021820292798800_b3","doi-asserted-by":"crossref","unstructured":"Che, Z.H., Wang, H.S. and Chuang, C.L. (2010), \u201cA fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan\u201d, Expert Systems with Applications, Vol. 37, pp. 7189\u201099.","DOI":"10.1016\/j.eswa.2010.04.010"},{"key":"key2022021820292798800_b4","doi-asserted-by":"crossref","unstructured":"Chen, H.H. (2008), \u201cStock selection using data envelopment analysis\u201d, Industrial Management & Data Systems, Vol. 108 No. 9, pp. 1255\u201068.","DOI":"10.1108\/02635570810914928"},{"key":"key2022021820292798800_b5","doi-asserted-by":"crossref","unstructured":"Duarte, P. and De Souza, J.D.I. (2005), Competition and Ownership in Land Passenger Transport, Elsevier, Oxford, pp. 649\u201058.","DOI":"10.1016\/B978-008044580-9\/50129-X"},{"key":"key2022021820292798800_b6","doi-asserted-by":"crossref","unstructured":"Ertay, T., Ruan, D. and Tuzkaya, U.R. (2006), \u201cIntegrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems\u201d, Information Sciences, Vol. 176 No. 3, pp. 237\u201062.","DOI":"10.1016\/j.ins.2004.12.001"},{"key":"key2022021820292798800_b7","doi-asserted-by":"crossref","unstructured":"Garrido, R.S., Molinos\u2010Senante, M. and Hernandez\u2010Sancho, F. (2011), \u201cComparing the efficiency of wastewater treatment technologies through a DEA metafrontier method\u201d, Chemical Engineering Journal, Vol. 173, pp. 766\u201072.","DOI":"10.1016\/j.cej.2011.08.047"},{"key":"key2022021820292798800_b8","doi-asserted-by":"crossref","unstructured":"Hajeeh, M. and Al\u2010Othman, A. (2005), \u201cApplication of the analytical hierarchy process in the selection of desalination plants\u201d, Desalination, Vol. 174 No. 1, pp. 97\u2010108.","DOI":"10.1016\/j.desal.2004.09.005"},{"key":"key2022021820292798800_b9","doi-asserted-by":"crossref","unstructured":"Hamid, D., Sara, R. and Maryam, A. (2012), \u201cDeveloping a framework for renewable technology portfolio selection: a case study at a R&D center\u201d, Renewable and Sustainable Energy Reviews, Vol. 16, pp. 4291\u20107.","DOI":"10.1016\/j.rser.2012.03.035"},{"key":"key2022021820292798800_b10","doi-asserted-by":"crossref","unstructured":"Jiang, Z.G., Zhang, H. and Sutherland, J.W. (2011), \u201cDevelopment of multi\u2010criteria decision making model for remanufacturing technology portfolio selection\u201d, Journal of Cleaner Production, Vol. 19, pp. 1939\u201045.","DOI":"10.1016\/j.jclepro.2011.07.010"},{"key":"key2022021820292798800_b11","doi-asserted-by":"crossref","unstructured":"Kong, W.H. and Fu, T.T. (2012), \u201cAssessing the performance of business colleges in Taiwan using data envelopment analysis and students based value\u2010added performance indicators\u201d, Omega, Vol. 40, pp. 541\u20109.","DOI":"10.1016\/j.omega.2011.10.004"},{"key":"key2022021820292798800_b12","unstructured":"Lamb, M. and Gregory, M.J. (1997), \u201cIndustrial concerns in technology selection\u201d, paper presented at the Meeting of the Portland International Conference on Management of Engineering and Technology, Portland, OR."},{"key":"key2022021820292798800_b13","doi-asserted-by":"crossref","unstructured":"Lee, D.J. and Hwang, J.H. (2010), \u201cDecision support for selecting exportable nuclear technology using the analytic hierarchy process: a Korean case\u201d, Energy Policy, Vol. 38, pp. 161\u20107.","DOI":"10.1016\/j.enpol.2009.08.069"},{"key":"key2022021820292798800_b14","doi-asserted-by":"crossref","unstructured":"Lin, M.I., Lee, Y.D. and Ho, T.N. (2011), \u201cApplying integrated DEA\/AHP to evaluate the economic performance of local governments in China\u201d, European Journal of Operational Research, Vol. 209, pp. 129\u201040.","DOI":"10.1016\/j.ejor.2010.08.006"},{"key":"key2022021820292798800_b15","doi-asserted-by":"crossref","unstructured":"Milligan, G.W. (1980), \u201cAn examination of the effect of six types of error perturbation on fifteen clustering algorithm\u201d, Psychometrika, Vol. 45, pp. 325\u201042.","DOI":"10.1007\/BF02293907"},{"key":"key2022021820292798800_b16","doi-asserted-by":"crossref","unstructured":"Peterson, D.K. and Miller, P.E. 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