This paper measures and analyzes one Wi-Fi IC vendor’s alternatives by looking at the tactics within the enterprise’s organizational culture as well as operation management characteristics in the wireless networking communications industry. | Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2014, Article ID 124652, 7 pages Research Article Selection of Key Component Vendor from the Aspects of Capability, Productivity, and Reliability Vincent F. Yu,1 Catherine W. Kuo,2 and Luu Quoc Dat1,3 1 Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Taipei 10607, Taiwan 2 Graduate Institute of Management, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Taipei 10607, Taiwan 3 Faculty of Development Economics, University of Economics and Business, Vietnam National University, No. 144 Xuan Thuy Road, Cau Giay District, Hanoi 10000, Vietnam Correspondence should be addressed to Catherine W. Kuo; ckworldwide66@ Received 16 March 2014; Revised 2 June 2014; Accepted 8 June 2014; Published 2 July 2014 Academic Editor: W. Y. Szeto Copyright © 2014 Vincent F. Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In a technology-driven industry, the appropriate vendors/suppliers can effectively contribute to cobusiness development profits. Key component vendors help dynamically drive solution design firms to achieve strong performances, especially when an integrated circuit (IC) component that has technical know-how specifications dominates an electronic solution design. This paper presents a systematic framework to examine the decision process for the selection of wireless fidelity (Wi-Fi) IC vendor alternatives from the business ecosystem aspect in order to review the importance of buyer-supplier synergistic effects. We implement the fuzzy analytic hierarchy process technique which incorporates a vendor’s capability, productivity, and reliability characteristics into a .
