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    題名: 新興科技多元應用策略 — 以語音助理為例
    A study of the dynamic development of emerging technologies — using AI virtual assistants as an example
    作者: 黃渝婷
    Huang, Yu-Ting
    貢獻者: 尚孝純
    李怡慧
    Shang, Shari S. C.
    Lee, Joyce Y.H.
    黃渝婷
    Huang, Yu-Ting
    關鍵詞: 新興科技
    平台生態系
    策略發展
    虛擬語音助理
    競合
    競爭優勢
    Emerging technology
    Platform ecosystem
    Strategic development
    Virtual assistant
    Coopetition
    Competitive advantages
    日期: 2021
    上傳時間: 2021-08-04 14:47:27 (UTC+8)
    摘要: 新興科技無處不在，隨著時間的推移，新興科技持續變化且對未來擁有不確定性，再加上科技發展的速度之迅速，它改變了我們平常生活的方式，對我們產生了很大的影響。對於公司而言，能鞏固與提升競爭優勢，因此在新興技術上投入更多的精力已為普遍現象。新興科技相關研究多注重在技術、使用者互動、接受度或隱私安全層面，對於新興科技的多元策略發展與提供實際案例之研究較少。除了擁有最好的技術外，也必須擁有健全的生態系統。而與平台生態系統相關的文獻還不足以理解新興技術的策略發展。故本研究透過平台生態系統的角度，而將新興科技以人工智能虛擬語音助理為例，探討新興科技在應用策略上的多元發展。此外，我們認為有必要將策略發展以多元而非單一的方式作呈現。首先，我們使用在多個案例上進行內容分析之研究方法，並選擇幾個當今科技巨頭作為案例。其次，研究結果為每個科技巨頭的虛擬語音助理建立了平台生態系統，並分別整理並呈現出六個維度的策略發展，六個維度分別為：平台建構、技術、聯盟關係、互動、連接性（相容性）、支持語言。透過此，解釋每項虛擬語音助理的多元應用策略之發展再進而比較科技巨頭之間的策略發展。此外，我們發現平台生態系統之間與平台生態系統內部存在兩類競合策略。根據結果，我們注意到隨著時間的推移，科技巨頭在面對新興科技時秉持不同的態度，策略模式與定位。再者，我們在討論和結論章節中，回顧我們在分析虛擬語音助理策略發展時的發現。總體而言，本研究有助於讀者理解新興科技的多元策略發展，並能有效協助企業在開發新興技術時，能在做相對應的決策前能先分析我與他方的策略發展。另外，為研究人員提供新穎的途徑以了解新興科技之多元策略發展。
    Emerging technology is ubiquitous that brings a prominent impact on the ways we live. Companies spend more effort on technology to strengthen competitive advantages. This study examines the strategic development of emerging technology using AI virtual assistants as an example through the perspective of the platform ecosystem. In addition, we argue that strategic development is necessary to be considered dynamic instead of static. First of all, using the methodology involves content analysis on multiple cases and selecting contemporary tech giants as cases. Second, the results establish the platform ecosystems for each tech giant’s virtual assistant and show the strategic development developed on six dimensions: Platform Construction, Technology, Alliance, Interaction, Connectivity (Compatibility), and Supported Languages; then, the comparison of strategic development for each virtual assistant is explained. Additionally, we find that there were two types of co-opetition strategies among and within platform ecosystems. According to results, we notice that tech giants uphold different attitudes and strategic patterns when facing emerging technology as time goes by. Third, we review what we find among exploring the strategic development for virtual assistants in the section of discussion and conclusion. Overall, this study helps readers comprehend the dynamic strategic development of emerging technology and supports companies in developing emerging technology when making decisions. Besides, give an avenue for researchers to explore strategic development.
    參考文獻: 1. Abu Daqar, M., & Smoudy, A. (2019). The Role of Artificial Intelligence on Enhancing Customer Experience. International Review of Management and Marketing, 9, 22-31. https://doi.org/10.32479/irmm.8166
    2. Amazon. (2019). Amazon.com Announces First Quarter Sales up 17% to $59.7 Billion | Amazon.com, Inc. - Press Room. https://press.aboutamazon.com/news-releases/news-release-details/amazoncom-announces-first-quarter-sales-17-597-billion
    3. Augustyn, J. (2017). Emerging Science and Technology Trends: 2017-2047. A Synthesis of Leading Forecasts. https://apps.dtic.mil/dtic/tr/fulltext/u2/1043071.pdf
    4. Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643-650. https://doi.org/10.1177/014920630102700602
    5. Baumöl, U., Hollebeek, L., & Jung, R. (2016). Dynamics of customer interaction on social media platforms. Electronic Markets, 26(3), 199-202. https://doi.org/10.1007/s12525-016-0227-0
    6. Bengtsson, M., & Kock, S. (2000). Coopetition in Business Networks—To Cooperate and Compete Simultaneously. Industrial Marketing Management, 29, 411-426. https://doi.org/10.1016/S0019-8501(99)00067-X
    7. Bonina, C., Koskinen, K., Eaton, B., & Gawer, A. (2021). Digital platforms for development: Foundations and research agenda. Information Systems Journal, n/a(n/a). https://doi.org/https://doi.org/10.1111/isj.12326
    8. Bouncken, R. B., Fredrich, V., Ritala, P., & Kraus, S. (2018). Coopetition in New Product Development Alliances: Advantages and Tensions for Incremental and Radical Innovation. British Journal of Management, 29(3), 391-410. https://doi.org/https://doi.org/10.1111/1467-8551.12213
    9. Burbach, L., Halbach, P., Plettenberg, N., Nakayama, J., Ziefle, M., & Calero Valdez, A. (2019). "Hey, Siri", "Ok, Google", "Alexa". Acceptance-Relevant Factors of Virtual Voice-Assistants.
    10. Bursztynsky, J. (2020). Apple surpasses Saudi Aramco to become world’s most valuable company. https://www.cnbc.com/2020/07/31/apple-surpasses-saudi-aramco-to-become-worlds-most-valuable-company.html
    11. Butz, P., & Tauscher, B. (2002). Emerging technologies: chemical aspects. Food Research International, 35(2-3), 279-284. https://doi.org/10.1016/s0963-9969(01)00197-1
    12. Caillaud, B., & Jullien, B. (2003). Chicken & Egg: Competition among Intermediation Service Providers. The RAND Journal of Economics, 34(2), 309. https://doi.org/10.2307/1593720
    13. Cegielski, C., Bourrie, D., & Hazen, B. (2013). Evaluating Adoption of Emerging IT for Corporate IT Strategy: Developing a Model Using a Qualitative Method. Information Systems Management, 30. https://doi.org/10.1080/10580530.2013.794632
    14. Ceipek, R., Hautz, J., Petruzzelli, A. M., De Massis, A., & Matzler, K. (2020). A motivation and ability perspective on engagement in emerging digital technologies: The case of Internet of Things solutions. Long Range Planning, 101991. https://doi.org/https://doi.org/10.1016/j.lrp.2020.101991
    15. Cenamor, J., & Frishammar, J. (2021). Openness in platform ecosystems: Innovation strategies for complementary products. Research Policy, 50(1), 104148. https://doi.org/https://doi.org/10.1016/j.respol.2020.104148
    16. Chen, H., Li, L., & Chen, Y. (2021). Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics, 8(1), 36-68. https://doi.org/10.1080/23270012.2020.1852895
    17. Chung, H., Iorga, M., Voas, J., & Lee, S. (2017). “Alexa, Can I Trust You?”. Computer, 50(9), 100-104. https://doi.org/10.1109/MC.2017.3571053
    18. CompTIA. (2020). 2020 Emerging Technology Top 10 List. https://connect.comptia.org/content/infographic/2020-emerging-technology-top-10-list
    19. Cusumano, M. (2010). Technology strategy and management. The evolution of platform thinking. Commun. ACM, 53(1), 32–34. https://doi.org/10.1145/1629175.1629189
    20. Czakon, W., Srivastava, M. K., Le Roy, F., & Gnyawali, D. (2020). Coopetition strategies: Critical issues and research directions. Long Range Planning, 53(1), 101948. https://doi.org/10.1016/j.lrp.2019.101948
    21. Day, G. S., & Schoemaker, P. J. H. (2000). Avoiding the Pitfalls of Emerging Technologies. California Management Review, 42(2), 8-33. https://doi.org/10.2307/41166030
    22. Dedehayir, O., & Steinert, M. (2016). The hype cycle model: A review and future directions. Technological Forecasting and Social Change, 108, 28-41. https://doi.org/https://doi.org/10.1016/j.techfore.2016.04.005
    23. Di Guardo, C., & Galvagno, M. (2007). The dynamic capabilities view of coopetition: the case of intel, apple and microsoft. Apple and Microsoft.
    24. Dyer, J. H., & Singh, H. (1998). The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage. Academy of Management Review, 23(4), 660-679. https://doi.org/10.5465/amr.1998.1255632
    25. Eisenmann, T., Parker, G., & Van Alstyne, M. W. (2006). Strategies for two-sided markets. Harvard business review, 84(10), 92.
    26. Eisenmann, T. R., Parker, G., & Van Alstyne, M. (2009). Opening platforms: how, when and why? Platforms, markets and innovation, 6, 131-162.
    27. Elser, A. (2001). Emerging Information Technologies: Improving Decisions, Cooperation, and Infrastructure. Technical Communication, 48(2), 217-217.
    28. EY. (2018). Global banking outlook 2018 Pivoting toward an innovation-led strategy. https://eyfinancialservicesthoughtgallery.ie/wp-content/uploads/2018/05/ey-global-banking-outlook-2018.pdf
    29. Fernandes, T., & Oliveira, E. (2021). Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption. Journal of Business Research, 122, 180-191. https://doi.org/10.1016/j.jbusres.2020.08.058
    30. Gartner. (2015). Gartner`s 2015 Hype Cycle for Emerging Technologies Identifies the Computing Innovations That Organizations Should Monitor. https://www.gartner.com/en/newsroom/press-releases/2015-08-18-gartners-2015-hype-cycle-for-emerging-technologies-identifies-the-computing-innovations-that-organizations-should-monitor
    31. Gartner. (2020A). 5 Trends Drive the Gartner Hype Cycle for Emerging Technologies, 2020. https://www.gartner.com/smarterwithgartner/5-trends-drive-the-gartner-hype-cycle-for-emerging-technologies-2020/
    32. Gartner. (2020B). Gartner Top Strategic Technology Trends for 2021. https://www.gartner.com/smarterwithgartner/gartner-top-strategic-technology-trends-for-2021/
    33. Gartner. (2020C). Gartner Says Worldwide IT Spending to Grow 4% in 2021. https://www.gartner.com/en/newsroom/press-releases/2020-10-20-gartner-says-worldwide-it-spending-to-grow-4-percent-in-2021
    34. Gawer, A., & Cusumano, M. (2014). Industry Platforms and Ecosystem Innovation. Journal of Product Innovation Management, 31. https://doi.org/10.1111/jpim.12105
    35. Gawer, A., & Henderson, R. (2007). Platform Owner Entry and Innovation in Complementary Markets: Evidence from Intel. Journal of Economics & Management Strategy, 16(1). https://doi.org/10.1111/j.1530-9134.2007.00130.x
    36. Ghazawneh, A., & Henfridsson, O. (2013). Balancing platform control and external contribution in third-party development: the boundary resources model. Information Systems Journal, 23(2), 173-192. https://doi.org/https://doi.org/10.1111/j.1365-2575.2012.00406.x
    37. Gnyawali, D. R., & Ryan Charleton, T. (2018). Nuances in the Interplay of Competition and Cooperation: Towards a Theory of Coopetition. Journal of Management, 44(7), 2511-2534. https://doi.org/10.1177/0149206318788945
    38. Gomes-Casseres, B. (1998). Do you really have an alliance strategy. Strategy & Leadership, 26(4), 6-11.
    39. Gomollón-Bel, F. (2020). Ten Chemical Innovations That Will Change Our World. Chemistry International, 42(4), 3-9. https://doi.org/doi:10.1515/ci-2020-0402
    40. Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of technology and marketing: a multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1), 1-8. https://doi.org/10.1007/s11747-019-00711-4
    41. Groen, A. J., & Walsh, S. T. (2013). Introduction to the field of emerging technology management. In: Wiley Online Library.
    42. Guzman, A. L. (2019). Voices in and of the machine: Source orientation toward mobile virtual assistants. Computers in Human Behavior, 90, 343-350. https://doi.org/10.1016/j.chb.2018.08.009
    43. Halaweh, M. (2013). Emerging Technology: What is it? Journal of technology management & innovation, 8(3), 19-20. https://doi.org/10.4067/s0718-27242013000400010
    44. Heckman, R. (2003). Strategic Information Technology Planning and the Line Manager`s Role. IS Management, 20, 16-21. https://doi.org/10.1201/1078/43647.20.4.20030901/77288.3
    45. Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Böhm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30(1), 87-98. https://doi.org/10.1007/s12525-019-00377-4
    46. Hein, A., Schreieck, M., Wiesche, M., Böhm, M., & Krcmar, H. (2019). The emergence of native multi-sided platforms and their influence on incumbents. Electronic Markets, 29, 631-647. https://doi.org/10.1007/s12525-019-00350-1
    47. Hong, J. (2013). Considering privacy issues in the context of Google glass. Communications of the ACM, 56(11), 10-11. https://doi.org/10.1145/2524713.2524717
    48. Hoy, M. B. (2018). Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly, 37(1), 81-88. https://doi.org/10.1080/02763869.2018.1404391
    49. Iansiti, M., & Levien, R. (2004). Strategy as ecology. Harvard business review, 82(3), 68-78, 126. http://europepmc.org/abstract/MED/15029791
    50. Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255-2276. https://doi.org/https://doi.org/10.1002/smj.2904
    51. Jafari, S. (2014). Strategic Cost-Cutting in Information Technology: toward a Framework for Enhancing the Business Value of IT. Iranian Journal of Management Studies, 7, 21-39. https://doi.org/10.22059/ijms.2014.36201
    52. Jain, A., & Ranjan, S. (2020). Implications of emerging technologies on the future of work. IIMB Management Review. https://doi.org/https://doi.org/10.1016/j.iimb.2020.11.004
    53. Jin, B.-H., & Li, Y.-M. (2012). Analysis of emerging technology adoption for the digital content market. Information Technology and Management, 13(3), 149-165. https://doi.org/10.1007/s10799-011-0113-6
    54. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. https://doi.org/https://doi.org/10.1016/j.bushor.2018.08.004
    55. Karhiniemi, M. (2009). Creating and sustaining successful business ecosystems.
    56. KINSELLA, B. (2019). Juniper Estimates 3.25 Billion AI virtual assistants Are in Use Today, Google Has About 30% of Them - Voicebot.ai. https://voicebot.ai/2019/02/14/juniper-estimates-3-25-billion-voice-assistants-are-in-use-today-google-has-about-30-of-them/
    57. Königstorfer, F., & Thalmann, S. (2020). Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 27, 100352. https://doi.org/https://doi.org/10.1016/j.jbef.2020.100352
    58. Kwon, Y., Kang, D., Kim, S., & Choi, S. (2020). Coopetition in the SoC Industry: The Case of Qualcomm Incorporated. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), 9. https://www.mdpi.com/2199-8531/6/1/9
    59. Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 44. https://doi.org/10.3390/joitmc5030044
    60. Logicalis. (2019). Emerging Technologies: From complexity to continuity. https://www.ie.logicalis.com/globalassets/ireland/multicloud-landing-page/emerging-technologies---from-complexity-to-continuity-report.pdf
    61. Mahato, K., Srivastava, A., & Chandra, P. (2017). Paper based diagnostics for personalized health care: Emerging technologies and commercial aspects. Biosensors and Bioelectronics, 96, 246-259. https://doi.org/10.1016/j.bios.2017.05.001
    62. Martinez-Millana, A., Bayo-Monton, J.-L., Lizondo, A., Fernandez-Llatas, C., & Traver, V. (2016). Evaluation of Google Glass Technical Limitations on Their Integration in Medical Systems. Sensors, 16(12), 2142. https://doi.org/10.3390/s16122142
    63. Mclean, G., & Osei-Frimpong, K. (2019). Hey Alexa … examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior, 99, 28-37. https://doi.org/10.1016/j.chb.2019.05.009
    64. Mitra, S., & Chaya, A. K. (1996). Analyzing Cost-Effectiveness of Organizations: The Impact of Information Technology Spending. Journal of Management Information Systems, 13(2), 29-57. https://doi.org/10.1080/07421222.1996.11518122
    65. Moore, J. (1999). Predators and Prey: A New Ecology of Competition. Harvard business review, 71, 75-86.
    66. Mukhopadhyay, S., & Bouwman, H. (2018). Multi-actor collaboration in platform-based ecosystem: opportunities and challenges. Journal of Information Technology Case and Application Research, 20, 1-8. https://doi.org/10.1080/15228053.2018.1479160
    67. Murray, J. Y. (2001). Strategic Alliance–Based Global Sourcing Strategy for Competitive Advantage: A Conceptual Framework and Research Propositions. Journal of International Marketing, 9(4), 30-58. https://doi.org/10.1509/jimk.9.4.30.19938
    68. Nalebuff, B. J., Brandenburger, A., & Maulana, A. (1996). Co-opetition. HarperCollinsBusiness London.
    69. Nicholas, C. R., Jr., Christina, D., Hsinchun, C., & Jay, F. N., Jr. (2003). A Methodology for Analyzing Web-Based Qualitative Data. Journal of Management Information Systems, 19(4), 213-246. https://doi.org/10.1080/07421222.2003.11045741
    70. Parker, G., & Van Alstyne, M. (2016). Platform Strategy. In (pp. 1-9). Palgrave Macmillan UK. https://doi.org/10.1057/978-1-349-94848-2_435-1
    71. Parker, G., & Van Alstyne, M. W. (2012). Innovation, Openness, and Platform Control. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1079712
    72. Polyakov, E. V., Mazhanov, M. S., Rolich, A. Y., Voskov, L. S., Kachalova, M. V., & Polyakov, S. V. (2018). Investigation and development of the intelligent voice assistant for the Internet of Things using machine learning.
    73. Qi, B., Razkenari, M., Costin, A., Kibert, C., & Fu, M. (2021). A systematic review of emerging technologies in industrialized construction. Journal of Building Engineering, 39, 102265. https://doi.org/10.1016/j.jobe.2021.102265
    74. Ritala, P., Wegmann, A., Sanchez, R., & Golnam, A. (2014). The Why and the How of Coopetition: Modeling the Incentives and Design of Coopetitive Value Networks. In A Focused Issue on Building New Competences in Dynamic Environments (Vol. 7, pp. 29-60). Emerald Group Publishing Limited. https://doi.org/10.1108/S1744-211720140000007002
    75. Rotolo, D., Hicks, D., & Martin, B. R. (2015). What is an emerging technology? Research Policy, 44(10), 1827-1843. https://doi.org/10.1016/j.respol.2015.06.006
    76. Sarikaya, R. (2017). The Technology Behind Personal Digital Assistants: An overview of the system architecture and key components. IEEE Signal Processing Magazine, 34(1), 67-81. https://doi.org/10.1109/msp.2016.2617341
    77. Smith, B., & Linden, G. (2017). Two Decades of Recommender Systems at Amazon.com. IEEE Internet Computing, 21(3), 12-18. https://doi.org/10.1109/mic.2017.72
    78. Statista. (2020A). Do you currently ever use a voice-operated personal assistant. https://www.statista.com/statistics/1171363/share-of-voice-assistant-users-in-the-us-by-device/
    79. Statista. (2020B). Number of Digital AI virtual assistants in Use Worldwide from 2019 to 2024 (in Billions)*. https://www.statista.com/statistics/1029573/us-voice-assistant-users/
    80. Statista. (2021A). Number of Digital AI virtual assistants in Use Worldwide from 2019 to 2024 (in Billions)*. https://www.statista.com/statistics/973815/worldwide-digital-voice-assistant-in-use/
    81. Statista. (2021B). Amazon Alexa skills available in selected countries as of January 2021. https://www.statista.com/statistics/917900/selected-countries-amazon-alexa-skill-count/
    82. Storer, K. M., Judge, T. K., & Branham, S. M. (2020). "All in the Same Boat": Tradeoffs of Voice Assistant Ownership for Mixed-Visual-Ability Families.
    83. Stratopoulos, T. (2015). EMERGING TECHNOLOGY ADOPTION AND COMPETITIVE ADVANTAGE. https://doi.org/10.2139/ssrn.2695858
    84. Tan, B., Xiao, X., Chau, M., Tan, F. T. C., & Leong, C. (2021). Digital Platforms and Ecosystems. Information Systems Journal. https://onlinelibrary.wiley.com/pb-assets/assets/13652575/ISJ_Digital Platforms and Ecosystems_CFP v2 (002).pdf
    85. Terzopoulos, G., & Satratzemi, M. (2019). Voice Assistants and Artificial Intelligence in Education.
    86. Then, K. A., & Amaria, P. (2013). Factors ors related to the adoption of IT emerging technologies by research and non-research research based higher education institutions. Research in Higher Education Journal, 1–30. http://www.aabri.com/copyright.html.
    87. Tuzovic, S., & Paluch, S. (2018). Conversational Commerce – A New Era for Service Business Development? In Service Business Development (pp. 81-100). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-22426-4_4
    88. Van Astyne, M. W., Parker, G. G., & Choudary, S. P. (2016). Pipelines, platforms, and the new rules of strategy. Harvard business review, 94(4), 16.
    89. Von Solms, J., & Langerman, J. (2021). Digital technology adoption in a bank Treasury and performing a Digital Maturity Assessment. African Journal of Science, Technology, Innovation and Development, 1-14. https://doi.org/10.1080/20421338.2020.1857519
    90. Walley, K. (2007). Coopetition: An Introduction to the Subject and an Agenda for Research. International Studies of Management and Organization, 37, 11-31. https://doi.org/10.2753/IMO0020-8825370201
    91. Wen, Z. (2008). Recommendation system based on collaborative filtering. CS229 lecture notes. http://www.zheng-wen.com/WenRecommendation.pdf
    92. Wheatley, K. K., & Wilemon, D. (1999). From emerging technology to competitive advantage.
    93. Winter, J. (2014). Success Factors of Mobile Business Ecosystems: From Hardware-Centric to Content and Advertising Based Business Models
    94. Wu, J., & Shang, S. (2020). Managing Uncertainty in AI-Enabled Decision Making and Achieving Sustainability. Sustainability, 12(21), 8758. https://doi.org/10.3390/su12218758
    95. Wu, J.-L. (2020). 廠商在平台生態系下的商業策略研究. 臺灣大學經濟學研究所學位論文. https://doi.org/10.6342/NTU202002362
    96. Xu, S., Hao, L., Yang, G., Lu, K., & An, X. (2021). A topic models based framework for detecting and forecasting emerging technologies. Technological Forecasting and Social Change, 162, 120366. https://doi.org/10.1016/j.techfore.2020.120366
    97. Ya-Ling Wu, Shari S.C. Shang, Jun-Yi Wu, & Chien-Chun Chen. (2020). Leveraging IT-enabled Service Innovation in a Highly Competitive Market [高度競爭市場採用資訊科技促發服務創新之研究]. 管理學報, 37(3), 259-283. https://doi.org/10.6504/JMBR.202009_37(3).0004
    98. Yoo, D., Roh, J., Cho, S., & Yang, M. G. (2020). Coopetition Balance and Coopetition Capability in Platform Ecosystems: Complementors’ Perspective.
    99. Zimmermann, A., Schmidt, R., & Sandkuhl, K. (2020). Strategic Challenges for Platform-based Intelligent Assistants. Procedia Computer Science, 176, 966-975. https://doi.org/10.1016/j.procs.2020.09.092
    描述: 碩士
    國立政治大學
    資訊管理學系
    108356012
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0108356012
    資料類型: thesis
    DOI: 10.6814/NCCU202100854
    顯示於類別:[資訊管理學系] 學位論文

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