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題名 運用隱喻計算於特色結盟之企業夥伴推薦研究 - 以區域觀光產業為例
Metaphor-Based Alliance Partners Recommendation for Unique and Attractive Destination Image Building
作者 葉又誠
Yeh, Yu Chen
貢獻者 苑守慈
Yuan, Soe Tsyr
葉又誠
Yeh, Yu Chen
關鍵詞 中小型企業
地點意象建立
隱喻計算
結盟夥伴選擇
SMEs
destination image building
computing metaphor
alliance partner selection
日期 2010
上傳時間 4-Sep-2013 16:58:29 (UTC+8)
摘要 對於結盟的建立而言，如何選擇夥伴是相當重要的議題。許多的學術研究著重於建立一些選擇夥伴的框架或準則，以求達到資源分享、節省成本的效果。在旅遊產業中，許多文獻舉出了意象建立的重要性，也點出了意象的有效建立有賴於企業體彼此緊密的合作，然而，較少研究探討如果要建立獨特且具有吸引力的意象效果，應該選擇那些夥伴才能到到目標。因此，本研究提出一系統化的方法能幫助使用者分析並找出合適的合作夥伴，以建立獨特且具有吸引力的意象。此一方法利用隱喻計算作為工具，嘗試找出創新的解決方案。本研究提出也提出一個系統架構，並輔以相關的演算法與情境來說明方法上的可用性。從理論上的觀點來看，本研究嘗試透過自動化的方式找出隱喻的意涵，並將之整合到一問題解決的方法上。從實務面來看，本研究提供了中小型企業一個有用的方法能幫助他們找到合適的合作夥伴。透過建立更高品質的夥伴關係，我們期盼在旅遊產業的中小型企業能夠進一步增加其競爭優勢、存活與獲利能力。此外，研究也發現，一個區域的意象多樣性直接影響到中小型企業透過合作來建立市場利基的可能性。
Partner selection is an important issue in alliance formation. A lot of research works have been done in developing the framework or criteria for selecting partners from the views of resource complement, cost reductions and knowledge sharing. However, research to date suggests relatively little is known about how to select partners for attractive and unique image building, which is essential to the developments of tourism especially for SME owners in the tourism sector. In this paper, we propose a systematic approach for service providers in tourism to identify appropriate partners to form alliances and build their attractive and unique images. This approach employs metaphors as a tool to generate innovative and creative solutions. The system architecture is then provided and elaborated with algorithms and the system scenario. From the theoretical perspective, we attempt to excavate the meaning of metaphors from the web in order to propose a new frame of problem-solving. From the practical perspective, we provide SME owners with a useful approach for managing partner selection and attractive and unique image building. By forming better alliances, SMEs in tourism sector can gain competitive advantages and improve their sustainability and profitability. In addition, the image diversity of a tourism destination is an important factor on market niche creation through alliance formation.
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描述 碩士
國立政治大學
資訊管理研究所
98356004
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0098356004
資料類型 thesis
dc.contributor.advisor 苑守慈zh_TW
dc.contributor.advisor Yuan, Soe Tsyren_US
dc.contributor.author (Authors) 葉又誠zh_TW
dc.contributor.author (Authors) Yeh, Yu Chenen_US
dc.creator (作者) 葉又誠zh_TW
dc.creator (作者) Yeh, Yu Chenen_US
dc.date (日期) 2010en_US
dc.date.accessioned 4-Sep-2013 16:58:29 (UTC+8)-
dc.date.available 4-Sep-2013 16:58:29 (UTC+8)-
dc.date.issued (上傳時間) 4-Sep-2013 16:58:29 (UTC+8)-
dc.identifier (Other Identifiers) G0098356004en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/60212-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 98356004zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 對於結盟的建立而言，如何選擇夥伴是相當重要的議題。許多的學術研究著重於建立一些選擇夥伴的框架或準則，以求達到資源分享、節省成本的效果。在旅遊產業中，許多文獻舉出了意象建立的重要性，也點出了意象的有效建立有賴於企業體彼此緊密的合作，然而，較少研究探討如果要建立獨特且具有吸引力的意象效果，應該選擇那些夥伴才能到到目標。因此，本研究提出一系統化的方法能幫助使用者分析並找出合適的合作夥伴，以建立獨特且具有吸引力的意象。此一方法利用隱喻計算作為工具，嘗試找出創新的解決方案。本研究提出也提出一個系統架構，並輔以相關的演算法與情境來說明方法上的可用性。從理論上的觀點來看，本研究嘗試透過自動化的方式找出隱喻的意涵，並將之整合到一問題解決的方法上。從實務面來看，本研究提供了中小型企業一個有用的方法能幫助他們找到合適的合作夥伴。透過建立更高品質的夥伴關係，我們期盼在旅遊產業的中小型企業能夠進一步增加其競爭優勢、存活與獲利能力。此外，研究也發現，一個區域的意象多樣性直接影響到中小型企業透過合作來建立市場利基的可能性。zh_TW
dc.description.abstract (摘要) Partner selection is an important issue in alliance formation. A lot of research works have been done in developing the framework or criteria for selecting partners from the views of resource complement, cost reductions and knowledge sharing. However, research to date suggests relatively little is known about how to select partners for attractive and unique image building, which is essential to the developments of tourism especially for SME owners in the tourism sector. In this paper, we propose a systematic approach for service providers in tourism to identify appropriate partners to form alliances and build their attractive and unique images. This approach employs metaphors as a tool to generate innovative and creative solutions. The system architecture is then provided and elaborated with algorithms and the system scenario. From the theoretical perspective, we attempt to excavate the meaning of metaphors from the web in order to propose a new frame of problem-solving. From the practical perspective, we provide SME owners with a useful approach for managing partner selection and attractive and unique image building. By forming better alliances, SMEs in tourism sector can gain competitive advantages and improve their sustainability and profitability. In addition, the image diversity of a tourism destination is an important factor on market niche creation through alliance formation.en_US
dc.description.tableofcontents CHAPTER 1. INTRODUCTION 1
1.1 Research Background 1
1.2 Research Motivations and Questions 2
1.3 Research Objectives 4
1.4 Research Method 5
1.5 Research Contributions 6
1.6 Content Organization 7
CHAPTER 2. LITERATURE REVIEW 9
2.1 Alliance Partner Selection 9
2.2 Destination Image 15
2.3 Metaphor 18
CHAPTER 3. MOTIVATION APPLICATION 23
3.1 The uVoyage Conceptual Framework 23
3.2 uVoyage System Architecture 26
CHAPTER4. METAPHOR-BASED ALLIANCE PRATNER RECOMMENDATION MECHANISM 29
4.1 Conceptual Framework 29
4.2 Image Model 32
4.3 The System Architecture 35
4.4 Goal Comprehension Module 37
4.5 Candidates Generation Module 42
4.6 Niche Assessment Module 49
4.7 Image Classification Module 58
CHAPTER 5. Application Scenario 61
5.1 An overview of application context 61
5.2 The service journey of the application 62
Chapter 6 Evaluation 68
6.1 Hypotheses 68
6.2 Assumptions and Experimental Data 70
6.3 Experiments and Results 75
6.4 Discussion of Findings 92
Chapter 7 Conclusion 95
7.1 Contributions 95
7.2 Managerial Implications 97
7.4 Conclusion Remarks 100		zh_TW
dc.format.extent 7872103 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0098356004en_US
dc.subject (關鍵詞) 中小型企業zh_TW
dc.subject (關鍵詞) 地點意象建立zh_TW
dc.subject (關鍵詞) 隱喻計算zh_TW
dc.subject (關鍵詞) 結盟夥伴選擇zh_TW
dc.subject (關鍵詞) SMEsen_US
dc.subject (關鍵詞) destination image buildingen_US
dc.subject (關鍵詞) computing metaphoren_US
dc.subject (關鍵詞) alliance partner selectionen_US
dc.title (題名) 運用隱喻計算於特色結盟之企業夥伴推薦研究 - 以區域觀光產業為例zh_TW
dc.title (題名) Metaphor-Based Alliance Partners Recommendation for Unique and Attractive Destination Image Buildingen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] Abe, K., and Nakagawa, M. 2006. “A computational model for metaphor generation process,” in Proceedings of the 28th Annual Conference of the Cognitive Science Society, Vancouver, Canada: 937–942.
[2] Abeel, T., Y. Van de Peer, and Y. Saeys. 2009. “Java-ML: A machine learning library”. The Journal of Machine Learning Research 10: 931–934.
[3] Alan, R. H., Salvatore, T. M., Jinsoo, P., and Sudha, R. 2004. “Design science
in information systems research”. MIS QUART, 28 (1), 75-105.
[4] Amid, A., Ghodsypour, S. H. and O’Brien, C. 2006. “Fuzzy multiobjective linear model for supplier selection in a supply chain”, International Journal of Production Economics(104:2), pp. 394–407.
[5] Baccianella, S., A. Esuli, and F. Sebastiani. 2010. “SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining”. in Seventh conference on International Language Resources and Evaluation, Malta. Retrieved May. 2010.
[6] Baumer, E. P., Tomlinson, B., Richland, L. E., and Hansen, J. 2009. “Fostering metaphorical creativity using computational metaphor identification,” in Proceeding of the seventh ACM conference on Creativity and cognition: 315–324.
[7] Bierly III, P. E., and Gallagher, S. 2007. “Explaining alliance partner selection: fit, trust and strategic expediency”, Long Range Planning(40:2), pp. 134–153.
[8] Brouthers, K. D., Brouthers, L. E., and Wilkinson, T. J. 1995. “Strategic alliances: Choose your partners,” Long Range Planning (28:3), pp. 2–25.
[9] Casakin, H. 2007. “Metaphor in design Problem Solving Implications for Creativity,” International Journal of Design (1:2),pp. 21-33.
[10] Camprub ı´, R., Guia, J., and Comas, J. 2008. “Destination networks and induced tourism image,” Tourism Review (63:2), pp. 47–58.
[11] Cracolici, M. F., and Nijkamp, P. 2009. “The attractiveness and competitiveness of tourist destinations: A study of Southern Italian regions”, Tourism Management(30:3), pp. 336–344.
[12] Chang, S.-L., Wang, R.-C. and Wang, S.-Y. 2006. “Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle”, International Journal of Production Economics, International Journal of Production Economics(100:2), pp. 348-359, June 18, 2011.
[13] Dacin, M. T., Hitt, M. A., and Levitas, E. 1997. “Selecting partners for successful international alliances: examination of US and Korean firms,” Journal of World Business (32:1), pp. 3–16.
[14] D`Harris, I. 2002. “A logical approach to the analysis of metaphors,” Logical and Computational Aspects of Model-Based Reasoningpp. 21.
[15] Ding, J. F., and Liang, G. S. 2005. “Using fuzzy MCDM to select partners of strategic alliances for liner shipping”, Information Sciences(173:1-3), pp. 197–225.
[16] Echtner, C., and Ritchie, B. 2003. “The meaning and measurement of destination image,” Journal of Tourism Studies (14:1), pp. 37–48.
[17] Esuli, A., and F. Sebastiani. 2006. “Sentiwordnet: A publicly available lexical resource for opinion mining”. in Proceedings of LREC , p. 417–422.
[18] Feng, B., Z. P Fan and J. Ma. 2010. “A method for partner selection of codevelopment alliances using individual and collaborative utilities”. International Journal of Production Economics 124(1): 159–170.
[19] Fischer, M., J\\ähn, H. and Teich, T. 2004. “Optimizing the selection of partners in production networks”, Robotics and Computer-Integrated Manufacturing(20:6), pp. 593–601.
[20] Geringer, J. M. 1991. “Strategic determinants of partner selection criteria in international joint ventures.,” Journal of International Business Studies (22:1), pp. 41-62.
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