在快速變遷的資通訊(ICT)產業裡，企業必須隨時規劃和選定適當的策略，以因應不斷更新的科技和市場需求的急迫性。因此，除了企業本身的專業條件和內部資源之外，也應考量在此商業生態中，目標客戶群的市場需求和關鍵零組件供應商的核心技術，要能結合此商業發展網絡群體中的三方，才能有助於企業選定最佳決策。本論文提出二個中小企業個案實例，經訪談問卷調查，及質性研究，實證企業在實務決策制定過程中所應考量的要素；並以量化分析驗證結果，對該企業提出最佳策略建議。

個案一: 本個案探討一個以專案營運為導向的研發公司，其專案排序策略，是該企業經營管理策略中的首要指標。此案例實證研究指出，在專案開發的商業發展網絡供應鏈(客戶端、個案研究廠商、供應商)中，企業的市場、技術和財務資產，都是考量的關鍵因素。藉由資源基礎理論的觀點，和層次(級)分析法的實證結果指出，該企業應以利潤導向的專案作為優先排序，以利於經營決策和管理。

個案二: 本個案探討企業如何結合以核心關鍵技術導向的零組件供應商，以有助於企業達到更好的成效表現。此案例實證研究提出，經由專家群的判斷，能力、生產力、和信賴度是檢視供應商的關鍵因素。實證結果指出，藉由商業生態和協同效應理論的觀點，以及模糊層級分析法的量化分析，該企業的決策，應以在地供應商作為最適當的產品共同合作研發的夥伴。

本論文以學術研究的理論和分析方法為根基，結合企業高階經理人的產業經驗及市場供需端的夥伴共同參與評估，實證結果有利於深耕產學個案研究，提供產業界訂定策略之參考。

In the constantly ever-changing era of the information, communication and technology (ICT) industry, firms have to always plan and conduct appropriate strategies in response to up-to-date technology and the urgent needs from market demand. Aside from expertise and internal resources, firms must consider about how to target customers’ requirements and key component vendors’ technological skills, and then coordinate with them in the framework of a business development network so as to enhance decision making over the best strategy alternatives. This research introduces two small and medium enterprise (SME) empirical cases and explores the core factors related to the decision making process based on interviews, questionnaire responses, qualitative theoretical research, and quantitative measurement analysis in order to highlight the optimal strategies that can be recommended to firms.

Case study one: For a projects-based research and development firm, the project priority strategy is the benchmark of its corporate operation management strategy. This empirical study take variables of a firm’s market, technology, and financial assets into account and addresses the key factors of the interaction between businesses within a project development’s supply chain: clients, the examined firm, and suppliers. The findings indicate that a profit-driven project can dominate the firm’s strategic operations and management from the resource-based view and analytic hierarchy process technique perspectives.

Case study two: Integrated circuit (IC) component vendors/ suppliers with the appropriate technical know-how can profitably contribute to co-business development. This case study deploys experts’ judgments to incorporate a vendor’s capability, productivity, and reliability characteristics as the core factors for an appropriate vendor selection analysis. From the business ecosystem aspect, in order to review the importance of buyer-supplier synergistic effects and the fuzzy-AHP technique analysis results, we take a Taiwan-based IC design vendor as the first priority among the selection of alternatives.

Referring to theoretical methods and analytical approaches, senior management’s expertise with industrial experiences, and the evolvement in how business network partners implemented the empirical cases, in this dissertation we examine the increasing importance of academia/industry cooperation research.

Abdelrahmian, M., Zayed, T., Elyamany, A. (2008). Best-value model based on project specific characteristics, Journal of Construction Engineering and Management, 134 (3), 179-188.
Ahn, M.J., Zwikael, O., Bednarek, R. (2010). Technological invention to product innovation: A project management approach, International Journal of Project Management, 28(6), 559-568.
Amiri, M., Zandieh, M., Soltani, R., Vahdani, B. (2009). A hybrid multi-criteria decision-making model for firms competence evaluation, Expert Systems with Applications, 36(10), 12314-12322.
Amiri, M.P. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37(9), 6218-6224.
Anagnostopoulos, K.P., Gratziou, M., Vavatsikos, A.P. (2007). Using the fuzzy analytic hierarchy process for selecting wastewater facilities at prefecture level. European Water, 19/20, 15-24.
Angelou, G.N., Economides, A.A. (2008). A decision analysis framework for prioritizing a portfolio of ICT infrastructure projects, IEEE Transactions on Engineering Management, 55(3), 479-495.
Bruno, G., Esposito, E., Genovese, A., Passaro, R. (2012). AHP-based approaches for supplier evaluation: problems and perspectives, Journal of Purchasing & Supply Management, 18, 159-172.
Chamodrakas, I., Batis, D., Martakos, D. (2010). Supplier selection in electronic marketplaces using satisficing and fuzz AHP, Expert Systems with Applications, 37, 490-498.
Chang, B., Chang, C.W., Wu, C.H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria, Expert Systems with Applications, 38, 1850-1858.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, 95(3), 649-655.
Chen, H.L. (2011). An empirical examination of project contractors' supply-chain cash flow performance and owners' payment patterns, International Journal of Project Management, 29(5), 604-614.
Chen, J.L. (2012). The synergistic effects of IT-enabled resources on organizational capabilities and firm performance, Information & Management, 49, 142-150.
Chen, M.K., Wang, S.C. (2010) The critical factors of success for information service industry in developing international market: Using analytic hierarchy process (AHP) approach, Expert Systems with Applications, 37(1), 694-704.
Chen, Y.H., Chao, R.J. (2012). Supplier selection using consistent fuzzy preference relations, Expert Systems with Applications, 39, 3233-3240.
Chiang, T.A., Che, Z. (2010). A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA, Expert Systems with Applications, 37(11), 7408-7418.
De Brentani, U., Kleinschmidt E.J., Salomo, S. (2010). Success in global new product development: Impact of strategy and the behavioral environment of the firm, Journal of Product Innovation Management, 27(2), 143-160.
Dey, P.K. (2010). Managing project risk using combined analytic hierarchy process and risk map, Applied Soft Computing, 10(4), 990-1000.
Elahi, E. (2013). Outsourcing through competition: what is the best competition parameter? International Journal of Production Economics, 144, 370-382.
eSilva, L.C., Costa, A.P.C.S. (2013). Decision model for allocating human resources in information system projects, International Journal of Project Management, 31(1), 100-108.
Ernst, H., Hoyer, W.D., Krafft, M., Krieger, K. (2011). Customer relationship management and company performance—the mediating role of new product performance, Journal of the Academy of Marketing Science, 39(2), 290-306.
Ernst, H., Hoyer, W.D., Rubsaamen, C. (2010). Sales, marketing, and research-and-development cooperation across new product development stages: implications for success, Journal of Marketing, 74(5), 80-92.
Esper, T.L., Ellinger, A.E., Stank, T.P., Flint, D.J., Moon, M. (2010). Demand and supply integration: a conceptual framework of value creation through knowledge management, Journal of the Academy of Marketing Science, 38(1), 5-18.
Gelbard, R., Carmeli, A. (2009). The interactive effect of team dynamics and organizational support on ICT project success, International Journal of Project Management, 27, 464-470.
Green Jr. K.W., Whitten, D., Inman, R.A. (2012). Aligning marketing strategies throughout the supply chain to enhance performance, Industrial Marketing Management, 41, 1008-1018.
Harmancioglu, N. (2009). Portfolio on controls in outsourcing relationships for global new product development, Industrial Marketing Management, 38, 394-403.
Hilletofth, P., Eriksson, D. (2011). Coordinating new product development with supply chain management, Industrial Management & Data Systems, 111(2), 264-281.
IEK Net (2013). Taiwan’s top 3 world-leading products/industries in 2012. http://ieknet.iek.org.tw/event/13event/13_0726/13_0726.htm, accessed on June 20, 2014. [in Chinese]
IEK Net (2014). The 10 most critical industrial issues in 2014. http://iekweb3.iek.org.tw/iekppt/client/slide.aspx?domain=2&pre_id=3749, accessed on June 20, 2014. [in Chinese]
Jonas, D. (2010). Empowering project portfolio managers: How management involvement impacts project portfolio management performance, International Journal of Project Management, 28(8), 818-831.
Kilincci, O., Onal, S.A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company, Expert Systems with Applications, 38, 9656-9664.
Killen, C.P., Judgev, K., Drouin, N., Petit, Y. (2012). Advancing project and portfolio management research: Applying strategic management theories, International Journal of Project Management, 30(5), 525-538.
Kim, D., Cavusgil, S.T. Cavusgil, E. (2013). Does IT alignment between supply chain partners enhance customer value creation? An empirical investigation, Industrial Marketing Management, 42, 880-889.
Kuei, C.H., Madu, C.N., Lin, C. (2008). Implementing supply chain quality management, Total Quality Management, 19(11), 1127-1141.
Kristiantp, Y., Helo, P., Jiao, J.R., Sandhu, M. (2012). Adaptive fuzzy vendor managed inventory control for mitigating the bullwhip effect in supply chains, European Journal of Operation Research, 216, 346-355.
Ku, C.Y., Chang, C.T., Ho, H.P. (2010). Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming, Quality and Quantity, 44, 623-640.
Lee, A.H.I., (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks, Expert Systems with Applications 36, 2879-2893.
Lee, A.H.I., Kang, H.Y., Chang, C.T. (2009). Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers, Expert Systems with Applications, 36, 6318-6325.
Li, S. and Li, J.Z. (2009). Hybridising human judgment, AHP, simulation and a fuzzy expert system for strategy formulation under uncertainty, Expert Systems with Applications, 36(3), 5557-5564.
Li, Y..L., Tang, J.F., Luo X.G. (2010). An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement, Expert Systems with Applications, 37(9), 6240-6250.
Lin, C.L., Chen, C.W., Tzeng G.H. (2010). Planning the development strategy for the mobile communication package based on consumers’ choice preferences, Expert Systems with Applications, 37(7), 4749-4760.
Linstone, H.A., Phillips, F. (2013). The simultaneous localization-globalization impact to information/communication technology, Technological Forecasting & Social Change, 80, 1438-1443.
Liu, C.C. (2010). Measuring and prioritising value of mobile phone usage, International Journal of Mobile Communications, 8(1), 41-52.
Liu, J., Li, Q., Wang, Y. (2012). Risk analysis in ultra deep scientific drilling project—A fuzzy synthetic evaluation approach, International Journal of Project Management, 31(3), 449-458.
Meskendahl, S. (2010). The influence of business strategy on project portfolio management and its success—A conceptual framework, International Journal of Project Management, 28(8), 807-817.
Min, H. (2009). Application of a decision support system to strategic warehousing decisions, International Journal of Physical Distribution & Logistics Management, 39(4), 270-281.
Nepal, B., Monplaisir, L., Famuyiwa, O. (2012). Matching product architecture with supply chain design, European Journal of Operational Research, 216, 312-325.
Ngai, E.W.T., Chau, C.K., Chan, T.L.A. (2011). Information technology, operational and management competencies for supply chain agility: Findings from case studies, Journal of Strategic Information Systems, 20, 232-249.
Nieto-Morote, A., Ruz-Vila, F. (2011). A fuzzy approach to construction project risk assessment, International Journal of Project Management, 29(2), 220-231.
Ollo-Lopez, A., Aramendia-Muneta, M.E. (2012). ICT impact on competitiveness, innovation and environment. Telematics and Informatics, 29, 204-210.
Pero, M., Abdelkafi, N., Sianesi, A., Blecker, T. (2010). A framework for the alignment of new product development and supply chains, Supply Chain Management, 15(2), 115-128.
Petit, Y. (2012). Project portfolios in dynamic environments: organizing for uncertainty, International Journal of Project Management, 30(5), 539-553.
Protopappa-Sieke, M., Seifert, R.W. (2010). Interrelating operational and financial performance measurements in inventory control, European Journal of Operational Research, 204(3), 439-448.
Punniyamoorthy, M., Mathiyalagan, P., Parthiban, P. (2011). A strategic model using structural equation modeling an fuzzy logic in supplier selection, Expert Systems with Applications, 38, 458-474.
Raezaei, J., Ortt, R. (2013). Multi-criteria supplier segmentation using a fuzzy preference relations based AHP, European Journal of Operational Research, 225, 75-84.
Roshandel, J., Miri-Nargesi, S.S., Hatami-Shirkouhi, L. (2013). Evaluation and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS, Applied Mathematical Modelling, 37(24), 10170-10181.
Saaty, T.L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. McGraw-Hill.
Saaty, T.L. (1990). How to make a decision: the analytic hierarchy process, European Journal of Operational Research, 48(1), 9-26.
Sarker, S., Munson, C.L., Sarker, S., Chakraborty, S. (2009). Assessing the relative contribution of the facets of agility to distributed systems development success: an Analytic Hierarchy Process approach, European Journal of Information Systems, 18(4), 285-299.
Shaw, K., Shankar, R., Yadav, S.S., Thakur, L.S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain, Expert Systems with Applications, 39, 8182-8192.
Shidpour, H., Shahrokhi, M., Bernard, A. (2013). A multi-objective programming approach, integrated into the TOPSIS method, in order to optimize product design; in three-dimensional concurrent engineering, Computers & Industrial Engineering, 64(4), 875-885.
Shim, S., Lee, B. (2012). Sustainable competitive advantage of a system goods innovator in a market with network effects and entry threats. Decision Support Systems, 52, 308-317.
Shen, C.Y., Yu, K.T. (2009). Enhancing the efficacy of supplier selection decision-making on the initial stage of new product development: A hybrid fuzzy approach considering the strategic and operational factors simultaneously, Expert Systems with Applications, 36, 11271-11281.
Sodhi, M.S., Tang, C.S. (2014). Guiding the next generation of doctoral students in operations management, International Journal of Production Economics, 150, 28-36.
Teece, D.J. (2009). Dynamic Capabilities and Strategic Management: Organizing for Innovation and Growth: Organizing for Innovation and Growth, Oxford University Press.
Thomas, E. (2013). Supplier integration in new product development: Computer mediated communication, knowledge exchange and buyer performance, Industrial Marketing Management, 42, 890-899.
Turner, R., Ledwith, A., Kelly, J. (2012). Project management in small to medium-sized enterprises: tailoring the practices to the size of company, Management Decision, 50(5), 942-957.
van Laarhoven, P.J.M., Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229-241.
Verdegen, P., De Marez, L. (2011). Rethinking determinants of ICT acceptance: towards an integrated and comprehensive overview. Technovation, 31, 411-423.
Vidal, L.A., Marle, F., Bocquet, J.C. (2011). Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects, Expert Systems with Applications, 38(5), 5388-5405.
Voss, M. (2012). Impact of customer integration on project portfolio management and its success—Developing a conceptual framework, International Journal of Project Management, 30(5), 567-581.
Weber, D.M., Kauffman, R. J. (2011). What drives golbal ICT adoption? analysis and research directions. Electronic Commerce Research and Applications, 10, 683-701.
Wu, D., Wu, D.D., Zhang, Y., Olson, D.L. (2013). Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach, Information Sciences, 235, 242-258.
Wu, S.J., Ragatz, G.L. (2010). Evaluating the total effect of early supplier involvement on project team effectiveness: collaboration and interaction, International Journal of Integrated Supply Management. 5(3), 239-259.
Yaghootkar, K., Gil, N. (2012). The effects of schedule-driven project management in multi-project environments, International Journal of Project Management, 30(1), 127-140.
Yu, J.R., Tsai, C.C. (2008). A decision framework for supplier rating and purchase allocation: A case in the semiconductor industry, Computers & Industrial Engineering, 55(3), 634-646.
Yucenur, G.N., Vayvay, O., Demi N.C. (2011). Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment, The International Journal of Advanced Manufacturing Technology, 56(5-8), 823-833.
Zayed, T., Amer, M., Pan, J. (2008). Assessing risk and uncertainty inherent in Chinese highway projects using AHP, International Journal of Project Management, 26(4), 408-419.
Zhang, J., Liang, X.J. (2011). Business ecosystem strategies of mobile network operators in 3G era: the case of China mobile, Telecommunications Policy, 35, 156-171.
Zouggari, A., Benyoucef, L. (2012). Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem, Engineering Applications of Artificial Intelligence, 25, 507-519.
Zwikael, O., Unger-Aviram, E. (2010). HRM in project groups: The effect of project duration on team development effectiveness, International Journal of Project Management', 28(5), 413-421.