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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳政鴻(Cheng-Hung Wu) | |
| dc.contributor.author | Chi-Chun Chiu | en |
| dc.contributor.author | 邱繼群 | zh_TW |
| dc.date.accessioned | 2021-06-08T01:42:49Z | - |
| dc.date.copyright | 2016-08-31 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-17 | |
| dc.identifier.citation | Abetti, P. A. (1989). Technology: A key strategic resource. Management Review, 78(2), 37.
Adner, R. (2002). When are technologies disruptive? A demand-based view of the emergence of competition. Strategic Management Journal, 23(8), 667-688. doi:10.1002/smj.246 Altomonte, C., Gamba, S., Mancusi, M. L., & Vezzulli, A. (2015). R&D investments, financing constraints, exporting and productivity. Economics of Innovation and New Technology. doi:10.1080/10438599.2015.1076203 Amaldoss, W., & Jain, S. (2005). Conspicuous consumption and sophisticated thinking. Management Science, 51(10), 1449-1466. doi:10.1287/mnsc.1050.0399 Anderson, P., & Tushman, M. L. (1990). Technological discontinuities and dominant designs: A cyclical model of technological change. Administrative science quarterly, 604-633. Ane, B. K., Tarasyev, A. M., & Watanabe, C. (2007). Construction of nonlinear stabilizer for trajectories of economic growth. Journal of Optimization Theory and Applications, 134(2), 303-320. doi:10.1007/s10957-007-9256-3 Aw, B. Y., & Song, B. (2013). Firm's Choice between Export and R&D and its Effect on the Firm's Productivity and Survival. Global Economic Review, 42(3), 291-310. doi:10.1080/1226508X.2013.833848 Balachander, S., & Srinivasan, K. (1994). Selection of product line qualities and prices to signal competitive advantage. Management Science, 40(7), 824-841. Bass, F. M. (2004). A new product growth for model consumer durables. Management Science, 50(12 SUPPL.), 1825-1832. doi:10.1287/mnsc.1040.0264 Bayus, B. L., & Putsis Jr, W. P. (1999). Product proliferation: An empirical analysis of product line determinants and market outcomes. Marketing Science, 18(2), 137-153. Bender, A. D., Pyle Iii, E. B., Westlake, W. J., & Douglas, B. (1976). Simulation of R&D investment strategies. Omega (United Kingdom), 4(1), 67-77. doi:10.1016/0305-0483(76)90040-2 Blonigen, B. A., & Taylor, C. T. (2000). R&D intensity and acquisitions in high-technology industries: Evidence from the US electronic and electrical equipment industries. Journal of Industrial Economics, 48(1), 47-70. Bohn, R. E. (1997). Measuring and managing technological knowledge. IEEE Engineering Management Review, 25(4), 77-88. Cachon, G. P., Terwiesch, C., & Xu, Y. (2005). Retail assortment planning in the presence of consumer search. Manufacturing and Service Operations Management, 7(4), 330-346. doi:10.1287/msom.1050.0088 Campisi, D., Mancuso, P., & Nastasi, A. (1997). Cost reduction, competitive pressure and firms' optimal R&D strategies in a duopolistic industry. Review of Industrial Organization, 12(2), 259-270. Campisi, D., Mancuso, P., & Nastasi, A. (2001). R&D Competition, Absorptive Capacity, and Market Shares. Journal of Economics/ Zeitschrift fur Nationalokonomie, 73(1), 57-80. Cao, M., Zhang, C. K., & Liu, Z. Y. (2014). Research of heterogeneous product in R&D investment and output strategies based on game theory. Paper presented at the 5th International Asia Conference on Industrial Engineering and Management Innovation, IEMI 2014. Cao, Y., Luo, X. G., Kwong, C. K., & Tang, J. F. (2013). Research of integrating supplier selection into product family planning. Paper presented at the 2013 25th Chinese Control and Decision Conference, CCDC 2013, Guiyang. Chambers, C., Kouvelis, P., & Semple, J. (2006). Quality-based competition, profitability, and variable costs. Management Science, 52(12), 1884-1895. doi:10.1287/mnsc.1060.0581 Chao, R. O., & Kavadias, S. (2013). R&D intensity and the new product development portfolio. IEEE Transactions on Engineering Management, 60(4), 664-675. doi:10.1109/TEM.2013.2257792 Chen, K. D., & Hausman, W. H. (2000). Mathematical properties of the optimal product line selection problem using choice-based conjoint analysis. Management Science, 46(2), 327-332. Day, J. M. (2003). The Product Line Manufacturing, Selection, and Pricing Problem. Paper presented at the 34th Annual Meeting of the Decision Sciences Institute, Washington, DC. Desai, P. S. (2001). Quality segmentation in spatial markets: When does cannibalization affect product line design? Marketing Science, 20(3), 265-283. Ding, M., Ross Jr, W. T., & Rao, V. R. (2010). Price as an Indicator of Quality: Implications for Utility and Demand Functions. Journal of Retailing, 86(1), 69-84. doi:10.1016/j.jretai.2010.01.002 Edwards, C. (2008). The many lives of Moore's law. Engineering and Technology, 3(1), 36-39. doi:10.1049/et:20080111 Fisher, M., & Vaidyanathan, R. (2014). A demand estimation procedure for retail assortment optimization with results from implementations. Management Science, 60(10), 2401-2415. Foster, R. N. (1986). Innovation: The Attacker's Advantage. London: Guild Publishing. Gallego, G., & Hu, M. (2014). Dynamic pricing of perishable assets under competition. Management Science, 60(5), 1241-1259. doi:10.1287/mnsc.2013.1821 Goettler, R. L., & Gordon, B. R. (2014). Competition and product innovation in dynamic oligopoly. Quantitative Marketing and Economics, 12(1), 1-42. doi:10.1007/s11129-013-9142-2 Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philosophical transactions of the Royal Society of London, 513-583. Gupta, S. (1988). Impact of sales promotions on when, what, and how much to buy. Journal of Marketing Research, 342-355. Hamilton, S. F., & Richards, T. J. (2009). Product differentiation, store differentiation, and assortment depth. Management Science, 55(8), 1368-1376. doi:10.1287/mnsc.1090.1032 Hopp, W. J., & Xu, X. (2005). Product line selection and pricing with modularity in design. Manufacturing and Service Operations Management, 7(3), 172-187. doi:10.1287/msom.1050.0077 Investing in research and development: Competitive benchmarking. (2005). Strategic Direction, 21(2), 35-37. doi:10.1108/02580540510576732 Ishida, J., Matsumura, T., & Matsushima, N. (2011). Market competition, R and D and firm profits in asymmetric oligopoly. Journal of Industrial Economics, 59(3), 484-505. doi:10.1111/j.1467-6451.2011.00461.x Kim, S. (2012) R&D intensity and productivity: Evidence from IT firms versus non-IT firms in KOSDAQ market. Vol. 203 LNEE. 4th FTRA International Conference on Computer Science and Its Applications, CSA 2012 (pp. 477-484). Jeju Island. Kohli, R., & Sukumar, R. (1990). Heuristics for product-line design using conjoint analysis. Management Science, 36(12), 1464-1478. Kumar, S., & Chatterjee, A. K. (2013). A heuristic-based approach to integrate the product line selection decision to the supply chain configuration. International Journal of Production Research, 51(8), 2399-2413. doi:10.1080/00207543.2012.737941 Kwong, C. K., Luo, X. G., & Tang, J. F. (2011). A multiobjective optimization approach for product line design. IEEE Transactions on Engineering Management, 58(1), 97-108. doi:10.1109/TEM.2010.2048909 Lauga, D. O., & Ofek, E. (2009). Market research and innovation strategy in a duopoly. Marketing Science, 28(2), 373-396. doi:10.1287/mksc.1080.0409 Martino, J. P. (2003). A review of selected recent advances in technological forecasting. Technological Forecasting and Social Change, 70(8), 719-733. doi:10.1016/S0040-1625(02)00375-X Matsubayashi, N. (2007). Price and quality competition: The effect of differentiation and vertical integration. European Journal of Operational Research, 180(2), 907-921. doi:10.1016/j.ejor.2006.04.028 Meade, N., & Islam, T. (1998). Technological forecasting - Model selection, model stability, and combining models. Management Science, 44(8), 1115-1130. Meade, N., & Islam, T. (2006). Modelling and forecasting the diffusion of innovation - A 25-year review. International Journal of Forecasting, 22(3), 519-545. doi:10.1016/j.ijforecast.2006.01.005 Mollick, E. (2006). Establishing Moore's law. IEEE Annals of the History of Computing, 28(3), 62-75. doi:10.1109/MAHC.2006.45 Moore, G. E. (1965). Cramming more components onto integrated circuits. Electronics, 38(8), 114–117. Moore, G. E. (1975). Progress in digital integrated electronics. IEEE, IEDM Tech Digest, 21(1), 1-3. Moore, G. E. (1997). An update on Moore's law. Intel Developer Rorum Keynote, September 30, Intel, Santa Clara, CA. Moore, G. E. (1998). Cramming more components onto integrated circuits. Proceedings of the IEEE, 86(1), 82-85. doi:10.1109/JPROC.1998.658762 Motta, M. (1993). Endogenous Quality Choice: Price vs. Quantity Competition. The Journal of Industrial Economics, 41(2), 113-131. doi:10.2307/2950431 Mu, L., Dawande, M., Gavirneni, S., & Sriskandarajah, C. (2014). Optimal selection of line extensions: Incorporating operational, financial, and marketing constraints. IEEE Transactions on Engineering Management, 61(4), 738-754. doi:10.1109/TEM.2014.2327484 Nguyen, X., Sgro, P., & Nabin, M. (2014). Licensing under vertical product differentiation: Price vs. quantity competition. Economic Modelling, 36, 600-606. doi:10.1016/j.econmod.2013.10.013 Nieto, M., Lopéz, F., & Cruz, F. (1998). Performance analysis of technology using the S curve model: The case of digital signal processing (DSP) technologies. Technovation, 18(6-7), 439-457. Ofek, E., & Sarvary, M. (2003). R&D, Marketing, and the Success of Next-Generation Products. Marketing Science, 22(3), 355-370+436. Pacheco-de-Almeida, G., Hawk, A., & Yeung, B. (2015). The right speed and its value. Strategic Management Journal, 36(2), 159-176. doi:10.1002/smj.2213 Qian, L. (2011). Product price and performance level in one market or two separated markets under various cost structures and functions. International Journal of Production Economics, 131(2), 505-518. doi:10.1016/j.ijpe.2011.01.016 Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviors, 27(6), 989-993. doi:10.1016/S0306-4603(02)00300-3 Rusmevichientong, P., Shmoys, D., Tong, C., & Topaloglu, H. (2014). Assortment optimization under the multinomial logit model with random choice parameters. Production and Operations Management. Sahal, D. (1981). Alternative conceptions of technology. Research Policy, 10(1), 2-24. doi:10.1016/0048-7333(81)90008-1 Schaller, R. R. (1997). Moore's law: past, present, and future. IEEE Spectrum, 34(6), 52-55, 57. doi:10.1109/6.591665 Schön, C. (2010). On the Optimal Product Line Selection Problem with Price Discrimination. Management Science, 56(5), 896-902. doi:10.1287/mnsc.1100.1160 Schon, D. (1967). Technology and Change. London: Pergamon. Selove, M. (2014). A dynamic model of competitive entry response. Marketing Science, 33(3), 353-363. doi:10.1287/mksc.2013.0827 Shacklett, M. (2008). Storage density and Kryder's law. Byte Switch News Anal, 11:19. Smith, M. A., & Zahrly, J. (1993). Resource allocation in high technology firms: Managerial strategies and empirical results. Journal of High Technology Management Research, 4(1), 47-61. doi:10.1016/1047-8310(93)90013-6 Sood, A., James, G. M., Tellis, G. J., & Zhu, J. (2012). Predicting the path of technological innovation: SAW vs. Moore, Bass, Gompertz, and Kryder. Marketing Science, 31(6), 964-979. doi:10.1287/mksc.1120.0739 Sood, A., & Tellis, G. J. (2005). Technological evolution and radical innovation. Journal of Marketing, 69(3), 152-168. doi:10.1509/jmkg.69.3.152.66361 Soydan, A. I., & Atilla Oner, M. (2012). Timely resource allocation between R&D and marketing: A system dynamics view. International Journal of Innovation and Technology Management, 9(2). doi:10.1142/S0219877012500125 Tang, C. S., & Yin, R. (2010). The implications of costs, capacity, and competition on product line selection. European Journal of Operational Research, 200(2), 439-450. doi:10.1016/j.ejor.2009.01.012 Tavares, L. R., Santiago, L. P., & Vakili, P. (2010). Portfolio management of new products and the impact of manager's heuristic during the development process. Paper presented at the Portland International Center for Management of Engineering and Technology - Technology Management for Global Economic Growth, PICMET '10, Phuket. Taylor, M., & Taylor, A. (2012). The technology life cycle: Conceptualization and managerial implications. International Journal of Production Economics, 140(1), 541-553. doi:10.1016/j.ijpe.2012.07.006 Tubbs, M. (2007). The relationship between R&D and company performance. Research Technology Management, 50(6), 23-30. Walter, C. (2005). Kryder's law. Scientific American, 293(2), 32-33. Whitley, M. (2005). Nothing lasts forever. Manufacturing Engineer, 84(1), 44-47. doi:10.1049/me:20050107 Wolff, M. F. (2004). Chase Moore's Law, Inventors Urged. Research-Technology Management, 47(1), 6. Wu, L., De Matta, R., & Lowe, T. J. (2009). Updating a modular product: How to set time to market and component quality. IEEE Transactions on Engineering Management, 56(2), 298-311. doi:10.1109/TEM.2008.2005065 Young, P., & Ord, J. K. (1989). Model selection and estimation for technological growth curves. International Journal of Forecasting, 5(4), 501-513. doi:10.1016/0169-2070(89)90005-8 Yu, D. Z. (2012). Product variety and vertical differentiation in a batch production system. International Journal of Production Economics, 138(2), 314-328. doi:10.1016/j.ijpe.2012.04.003 Zhang, L., & Park, K. M. (2014). What are good R&D investment strategies for leaders and followers? Technology Analysis and Strategic Management, 26(8), 909-925. doi:10.1080/09537325.2014.918257 Zhang, X., & Cao, Y. (2014). Selling Vertically Differentiated Products under One Roof or Two? A Signaling Model of a Retailer's Roof Policies. Journal of Retailing, 90(4), 538-551. doi:10.1016/j.jretai.2014.09.001 Zhaohui, Z., & Xiaokang, C. (2011). RETRACTED ARTICLE: Does R&D investment promote firms' performance? Evidence from the pharmaceutical and biological products listed firms. Paper presented at the Proceedings of 2011 International Conference on Product Innovation Management, ICPIM 2011. 湯秉儒. (2013). 雙占產業中多產品之產能與技術賽局研究. 國立臺灣大學. 簡廷容. (2014). 研發投入、外國投資與出口對中國製造產業追趕效果之研究. 臺灣大學. Available from Airiti AiritiLibrary database. (2014年) 謝玉薇. (2012). 分散與整合供應鏈之產能與研發賽局. 國立臺灣大學. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19030 | - |
| dc.description.abstract | 本研究在科技演進不確定下，探討廠商如何進行研發投資與產品線決策以最大化期望利潤。科技演進的不確定性影響廠商的相對科技水準，廠商的相對科技水準同時受到研發經費的多寡及外部科技趨勢的影響，當外部技術提升，廠商沒有提升，廠商的相對科技水準下降，反之亦然。廠商的相對科技水準決定其能生產的產品性能高低，像是電腦處理器的速度或是相機的解析度等，進而影響產品線決策。產品線由不同相對科技水準的產品所組成，產品線決策是廠商決定產品線要包含哪些相對科技水準的產品及決定其價格，產品線中所提供的產品的性能水準不得超過廠商的相對科技水準上限。由於產品組合會影響消費者的行為，當人們面對不同的產品組合時會比較組合中產品的價格及性能做出購買決策，如何訂定產品價格及提供怎麼樣的產品組合是影響廠商利潤的因素。本研究利用動態規劃求解廠商的最佳期望利潤及決策，最後進行參數分析以探討不同情形下廠商的決策及其管理意涵。 | zh_TW |
| dc.description.abstract | The research studies how a company makes its investment of research and development (R&D) and product line selection decisions to maximize its profit under an uncertain evolution trend of technology. The uncertain evolution trend of technology and the amounts of investment of R&D influence the relative technology status of a company. When the environment technology upgrades and the company doesn’t upgrade, the relative technology status of the company will decrease, and vice versa. The relative technology level determines the vertical attribute level of a product such as the resolution of a camera and process ability of central processing unit, etc. Then, the relative technology status constraints the decision of product variety, because the product line consists of the products with different relative product technology levels and the company can’t produce the product which is higher than its relative technology status. The product line selection decision includes pricing and producing which product. The customers purchasing behavior is influenced by the product variety. Consequently, the decisions, investment in R&D and product line selection, are critical to the profit of the company. This research uses nonlinear programming to solve product line selection, Logit model to describe the purchasing behavior of customers, Markov chain to model the uncertain technology evolution trend and dynamic programming model to maximize the expected profit of the company and get the correspondence decisions. Finally, the research implements the model by C# and Mathematica and analysis the results to obtain the insights of management. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T01:42:49Z (GMT). No. of bitstreams: 1 ntu-105-R02546046-1.pdf: 3466575 bytes, checksum: 61f745cfbf154b02eec19af96685f012 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 中文摘要 I
ABSTRACT II 目錄 III 圖目錄 V 表目錄 VII 第一章 前言 1 1.1 研究背景與動機 1 1.2 研究目的 2 1.3 研究方法 3 第二章 文獻回顧 5 2.1 科技演進 5 2.1.1科技的定義 5 2.1.2科技演進的觀點 5 2.1.3預測科技演進的模型 6 2.1.4產品屬性與相對科技水準 8 2.2 研發投資決策 8 2.2.1研發投資的重要性 9 2.2.2投資金額的影響 9 2.2.3目前已探討過的議題 10 2.3 產品線決策 11 2.3.1產品線具有的策略 11 2.3.2產品間需求的影響 12 2.3.3求解方法 12 2.4 需求模型 13 第三章 模型建構 15 3.1 研究用語定義 15 3.2 問題描述與相關假設 15 3.3 模型的參數與決策變數 17 3.4 非線性規劃 19 3.5 動態規劃模型 21 3.6 程式執行步驟與示意圖 22 3.7 模擬程式流程 24 第四章 模型驗證與數值分析 26 4.1 介紹與驗證系統 26 4.1.1系統介紹 26 4.1.2系統驗證 27 4.2 基本案例探討 32 4.2.1基本案例參數設定 32 4.2.2模擬驗證 35 4.2.3產品線決策 35 4.2.4研發投資決策 40 4.3 參數分析 47 4.3.1市場大小 47 4.3.2生產成本及產品屬性效用 49 第五章 結論與未來研究方向 56 REFERENCE 58 | |
| dc.language.iso | zh-TW | |
| dc.title | 科技演進不確定下之研發與產品線決策 | zh_TW |
| dc.title | R&D Investment Strategy and Product Line Selection under Uncertain Technology Evolution | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 周雍強,洪一薰,喻奉天 | |
| dc.subject.keyword | 研發決策,產品線決策,消費者行為,動態規劃, | zh_TW |
| dc.subject.keyword | R&D Investment,Product Line Selection,Dynamic Programming, | en |
| dc.relation.page | 62 | |
| dc.identifier.doi | 10.6342/NTU201602862 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2016-08-18 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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