{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T15:13:37Z","timestamp":1767626017179},"reference-count":27,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2017,5]]},"abstract":"<jats:p> Internet finance is China\u2019s newest hot topic in its booming economy. Success story of entrepreneurial ventures such as Alibaba have paved way for numerous entrepreneurs to establish innovative start-ups and enterprises. Presently, number of up and coming small and medium enterprises (SMEs) is above 80% of all new enterprises in China, involving 39 major categories of industrial sectors. Such enterprises are hugely backed by Internet finance companies for funding and easy transactions. It is important to develop efficient methodology and improve existing ones for credit assessment so as to aid Internet finance companies in making effective and symmetric funding decisions. To evaluate the performance of SMEs effectively, we propose an Internet finance credit index system, which includes financial, credit, enterprise development and Internet financial status. We combine the Analytic Hierarchy Process (AHP) and data envelopment analysis (DEA) to form a unified evaluation framework, which has the ability to address the subjective (AHP) and the objective (DEA) concerns, respectively. The proposed framework can assist Internet finance organizations to develop a transparent, unbiased and integrated framework for evaluating credit index of SMEs and start-ups. The result of our framework identifies the most important characteristics of SMEs and start-ups which contribute to overall credit rating, provides valuable references for Internet financial organization to make better resource allocation (funding decisions). The framework for credit evaluation also provides start-ups and SMEs an insight into improving their credit rating. <\/jats:p>","DOI":"10.1142\/s0219622017500134","type":"journal-article","created":{"date-parts":[[2017,2,17]],"date-time":"2017-02-17T07:27:46Z","timestamp":1487316466000},"page":"597-624","source":"Crossref","is-referenced-by-count":26,"title":["A Unified Framework for Credit Evaluation for Internet Finance Companies: Multi-Criteria Analysis Through AHP and DEA"],"prefix":"10.1142","volume":"16","author":[{"given":"Wei","family":"Gu","sequence":"first","affiliation":[{"name":"Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meheli","family":"Basu","sequence":"additional","affiliation":[{"name":"Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA-15232, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhang","family":"Chao","sequence":"additional","affiliation":[{"name":"School of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lirong","family":"Wei","sequence":"additional","affiliation":[{"name":"Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, P. R. 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