Responsive image
博碩士論文 etd-0009121-224427 詳細資訊
Title page for etd-0009121-224427
論文名稱
Title
物聯網時代電信服務業轉型策略之探討-以C電信為例
The Transformation Strategy of Telecommunications Industry Under IoT-A Case Study
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
167
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2020-12-25
繳交日期
Date of Submission
2021-01-09
關鍵字
Keywords
B2B2X、物聯網、服務創新、門徑管理法
B2B2X, Stage Gate, Service Innovation, Internet of Things
統計
Statistics
本論文已被瀏覽 318 次,被下載 161
The thesis/dissertation has been browsed 318 times, has been downloaded 161 times.
中文摘要
全球電信服務業在高度競爭下,各類電信傳統收入下滑,產業創新為一條必經之路。近年物聯網(IoT)崛起亦帶動各種產業不同創新應用,尤其物聯網結合大數據後,所延伸出的應用範圍更是廣闊,包括智慧家庭、智慧城市、智慧製造、智慧交通、智慧健康、智慧農業與穿戴式裝置等應用是電信服務業可以著力的重點領域,也是扶植帶動新創的好場域。近年來物聯網應用已漸漸與人的生活相結合,透過人工智慧(AI)將蒐集到的數據進行分析運用,讓萬物智慧化,將軟、硬體相乘發揮最大效益。市場看似商機無限,但是台灣電信服務業該如何因應跨產業的競爭,如何發展才能走出一條康莊大道,避免重蹈價格競爭的困境以及如何調整經營策略,才能確保永續經營。
本研究分析電信及物聯網產業發展,鎖定全球半導體主要生產國,以美、日、韓及中國之電信商為調查對象,透過這些國家前三大電信商之公開資料內容分析歷年相關投資發展趨勢、新服務推出成果,另外透過國內外相關產業專家訪談紀錄與歸納,最後對比國內電信業者之相關推動作為,將C公司發展重點羅列,部分以門徑管理法(Stage-Gate System)來分析該領域商模是否具備條件擴展與已發展項目繼續進行之優劣分析。
本研究發現在服務創新度上以日本與韓國的創新度較高,大多圍繞個人的生活周邊,而美國則是在影視媒體與廣告可直接帶來效益的投資下很多功夫,中國大陸則是藉由製造大國的成本優勢與政府政策推動成為大量型物聯網環境(Massive IoT)。而物聯網發展下的單一企業難以支撐服務,所以B2B2X的經營模式為顯學。目前各國電信商面對國際電信聯盟(ITU)提出5G的三種情境,增強型行動寬頻(eMBB)、超可靠低延遲通訊(URLLC)以及大規模機器型通訊(mMTC)等的智慧應用都差不多,有的部分還在測試,有的是已建置但尚未有殺手級應用,故最後依據產業外部探討分析及個案公司內部分析,提供C公司相關建議作法。
Abstract
The global telecommunication industry is highly competitive and the traditional income of telecommunication has decreased. Service innovation is the only way to go. In recent years, the rise of the Internet of Things (IoT) has also driven different innovative applications in various industries,especially the IoT is combined with big data can extend applications broadly,such as smart homes, smart cities,smart manufacturing,smart transportation,smart health,smart agriculture and wearable devices. These are key areas where the telecom service industry can focus and it is also good for fostering emerging applications. Preliminary IoT applications have gradually been integrated with people’s lives. The collected data will be analyzed and applied through artificial intelligence (AI) to make everything smarter and let software and hardware maximize the benefits. The market seems to have unlimited business opportunities, but how should Taiwan’s telecommunications industry respond to cross-industry competition, and how to avoid repeating the dilemma of price competition, and how to adjust business strategies to ensure sustainable operation.
This research analyzes the development of the telecommunications and IoT industry, targeting the major semiconductor production countries in the world. Using telecom companies in the United States, Japan, South Korea and China as the survey subjects. Analyzing relevant investment development and new service launch results over the years through the contents of the public information of the top three telecom companies in these countries. In addition, this research summary the interview records of domestic and foreign related industry experts, and finally compared with the relevant development activities of domestic telecom companies. Listing the important development of C company, and the stage gate system is used to analyze whether the business model in this field meets the conditions for expansion and the continued development of projects analysis of the pros and cons.
This research finds that japan and south korea are more innovative in terms of service innovation and most of them revolve around personal life. The united states hava made a lot of efforts in investment in film content, television media and advertising that can directly bring benefits. China has become a massive IoT environment driven by the cost advantage of a major manufacturing country and government policies. A single enterprise under the development of the Internet of Things is difficult to support services, so the business model of B2B2X is obvious in future. At present, telecom companies in various countries are facing the three scenarios of 5G, such as enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC), and massive Machine Type Communications (mMTC) proposed by the International Telecommunication Union (ITU). The smart applications in the three scenarios are similar. Some smart applications are still being tested, and some have been built but have not yet had killer applications. Therefore, in the end, we will provide relevant suggestions for C company based on the analysis of the external industry and the internal analysis of C company.
目次 Table of Contents
論文審定書..........................................................................................................i
誌 謝....................................................................................................................ii
摘 要...................................................................................................................iii
Abstract.............................................................................................................iv
圖次..................................................................................................................viii
表次...................................................................................................................xii
第一章 緒論........................................................................................................1
第一節 研究背景與動機...................................................................................1
第二節 研究目的...............................................................................................2
第三節 研究流程...............................................................................................2
第四節 研究範圍與限制....................................................................................3
第二章 文獻探討.................................................................................................4
第一節 物聯網...................................................................................................4
第二節 門徑管理法..........................................................................................19
第三節 全球電信服務業產業現況與發展........................................................26
第三章 研究設計................................................................................................66
第一節 研究結構..............................................................................................66
第二節 研究模式..............................................................................................67
第三節 研究方法..............................................................................................67
第四章 個案分析................................................................................................69
第一節 個案公司簡介與現況...........................................................................69
第二節 各國主要電信服務商如何因應已飽和的市場與變化..........................77
第三節 台灣電信服務商競爭分析....................................................................97
第五章 結論與建議...........................................................................................121
第一節 結論.....................................................................................................121
第二節 建議.....................................................................................................123
參考文獻.............................................................................................................126
附錄一 訪談(調查)相關文件...............................................................................139
參考文獻 References
一、中文
1. 台灣OTT市場隨選影視戰況分析(2020)。凱度洞察。
2. 台灣媒體觀察教育基金會(2019)。108年閱聽人電視使用行為及滿意度調查報告。國家通訊傳播委員會委託調查報告。台北市:國家通訊傳播委員會。
3. 朱柔若譯(2000)。社會研究方法:質化與量化取向。台北:揚智。
4. 張嘉伶、劉書甯(2019)。純網銀進場迎金融新局。台灣銀行家,117,18-54。
5. 陳世雄(2020)。2020台灣銀行業報告。KPMG,16-22。
6. 陳志宇、黃禾田、王艾雲、蔡昕宸、廖祥丞、董奕君 黃子宴、楊東穎(2019)。FY108數位匯流創新基礎環境推動暨管制革新計畫-分項四觀測數位匯流產業動態與創新應用變革報告。國家通訊傳播委員會補助案期末報告。台北市:國家通訊傳播委員會。
7. 劉時淼(2017)。有線電視引進建築物終將邁向光纖入戶的終極目標:整合有線電視與電信線路引進之探討。國家通訊傳播委員會,1,1-5。

二、英文
1. Aazam, M., Zeadally, S., & Harras, K.A. (2018). Deploying fog computing in industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics. PP (99):1-1.
2. Abdou, M., Mohammed, R., Hosny, Z., Essam, M., Zaki, M., Hassan, M., Eid, M., & Mostafa, H. (2019). Proceedings of the International Conference on Microelectronics, International Conference on Microelectronics-miel, Volume 2019-December, pp. 103-107.
3. Ajanovic, A., & Haas, R. (2019). Economic and environmental prospects for battery electric-and fuel cell vehicles: a review. Fuel Cells. 19 (5), 515-529.
4. Alam, M. R., St-Hilaire, M., & Kunz, T. (2019). Peer-to-peer energy trading among smart homes. Applied Energy, Vol.238,1434–1443.
5. Bhagya, N.S., Murad, K., & Kijun, H. (2018). Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, Vol. 38, 697-713.
6. Bielski, A., Zielina, M., & Młyńska, A. (2020). Analysis of heavy metals leaching from internal pipe cement coating into potable water. Journal of Cleaner Production, Vol. 265, 121425.
7. Bilgeri, D., & Wortmann, F. (2017). Barriers to IoT business model innovation, In Proc. 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), JM Leimeister and W Brenner (ed.), pp. 987–990, St. Gallen.
8. Biresselioglu, M.E., Demir, M.H., Demirbag Kaplan, M., & Solak, B. (2020). Individuals, collectives, and energy transition: analysing the motivators and barriers of European decarbonisation. Energy Research and Social Science, Vol. 66.
9. Bisio, I., Garibotto, C., Lavagetto, F., & Sciarrone, A. (2019). Towards IoT-based ehealth services: a smart prototype system for home rehabilitation. In: 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Article number 9013194.
10. Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., & Barolli, L. (2020). Fuzzy-based Driver Monitoring System (FDMS): implementation of two intelligent FDMSs and a testbed for safe driving in VANETs. Future Generation Cmputer Systems, Vol. 105, 665-674.
11. Capuder, T., Miloš Sprčić, D., Zoričić, D., & Pandžić, H. (2020). Review of challenges and assessment of electric vehicles integration policy goals: integrated risk analysis approach. International Journal of Electrical Power & Energy Systems, Vol. 119.
12. Chen, Y.-Q., Zhou, B., Zhang, M., & Chen, C.-M. (2020). Using IoT technology for computer-integrated manufacturing systems in the semiconductor industry. Applied Soft Computing Journal. 89.
13. Chesbrough, H. (2010). Business model innovation: Opportunities and barriers. Long Range Planning, Vol. 43(2–3), 354–363.
14. Chugh, A., Jain, C., & Mishra, V.P. (2020). IoT-based multifunctional smart toy car. Lecture Notes in Networks and Systems 103, 455-461.
15. Cooper, R.G. (2001). Winning at New Products: Accelerating the Process from Idea to Launch, 3d ed. Reading, MA: Perseus Books.
16. Cooper, R.G. (2006). Formula for Success. Marketing Management Magazine (American Marketing Association), March–April, pp. 21–24.
17. Cooper, R.G. (2014). What’s next?: After stage-gate. Research-Technology Management, 57(1), 20–31.
18. Cooper, R.G., & Edgett, S.J. (2005). Lean, Rapid and Profitable New Product Development. Product Development Institute.
19. Cooper, RG (2008). Perspective: The stage-gate® Idea-to-launch process — Update, what’s new, and NexGen systems. Journal of Product Innovation Management, 25(3), 213–232.
20. Das, S., Lee, S.-H., Kumar, P., Kim, K.-H., Lee, S.S., & Bhattacharya, S.S. (2019). Solid waste management: scope and the challenge of sustainability. Journal of Cleaner Production, Vol. 228, 658-678.
21. Dhana Shree, K., Janani, B., Reenadevi, R., & Rajesh, R. (2019). Garbage monitoring system using smart bins. International Journal of Scientific and Technology Research, Vol. 8(11) , 1921-1925.
22. Drnevich, P. L., & Croson, D. C. (2013). Information technology and business-level strategy: Toward an integrated theoretical perspective. MIS Quarterly, 37(2),483–509.
23. Fan, Y.V., Lee, C.T., Lim, J.S., Kleme, s, J.J., & Le, P.T.K. (2019). Cross-disciplinary approaches towards smart, resilient and sustainable circular economy. J. Clean. Prod. 232, 1482-1491.
24. Farahani, B., Barzegari, M., Shams Aliee, F., & Shaik, K.A. (2020). Towards collaborative intelligent IoT eHealth: from device to fog, and cloud. Microprocessors and Microsystems, Vol.72.
25. Fredette, J., Marom, R., Steinert, K., & Witters, L. (2012). The promise and peril of hyperconnectivity for organizations and societies. The Global Information Technology Report. World Economic Forum.
26. Gagliano, A., Tina, G.M., Aneli, S., & Nižetić, S. (2019). Comparative assessments of the performances of PV/T and conventional solar plants. Journal of Cleaner Production, Vol. 219, 304-315.
27. Hussain, M., Butt, A.R., Uzma, F., Ahmed, R., Irshad, S., Rehman, A., & Yousaf, B. (2020). A comprehensive review of climate change impacts, adaptation, and mitigation on environmental and natural calamities in Pakistan. Environmental Monitoring and Assessment. Article number 48. 192 (1).
28. Iansiti, M., & Lakhani, K.R. (2014). Digital ubiquity: How connections, sensors, and data are revolutionizing business (Digest Summary). Harvard Business Review, 92(11), 91–99.
29. Idwan, S., Mahmood, I., Zubairi, J.A., & Matar, I. (2020). Optimal management of solid waste in smart cities using internet of things. Wireless Personal Communications. 110 (1), 485-501.
30. Janik, A., Ryszko, A., & Szafraniec, M. (2020). Scientific landscape of smart and sustainable cities literature: a bibliometric analysis. Sustainability 12 (3).
31. Johannesen, N. J., Kolhe, M., & Goodwin, M. (2020). Relative evaluation of regression tools for urban area electrical energy demand forecasting. Journal of Cleaner Production, Vol. 218, 555-564.
32. John, J., Varkey, M.S., & Selvi, M. (2019). Security attacks in s-wbans on iot based healthcare applications. International Journal of Innovative Technology and Exploring Engineering, Vol. 9 (1), 2088-2097.
33. Jonkeren, O., Francke, J., & Visser, J. (2019). A shift-share based tool for assessing the contribution of a modal shift to the decarbonisation of inland freight transport. European Transport Research Review 11 (1).
34. Kalair, A.R., Abas, N., Hasan, Q.U., Seyedmahmoudian, M., Khan, N. (2020). Demand side management in hybrid rooftop photovoltaic integrated smart nano grid. Journal of Cleaner Production, 120747.
35. Kang, K.D., Kang, H., Ilankoon, I.M.S.K., & Chong, C.Y. (2020). Electronic waste collection systems using Internet of Things (IoT): household electronic waste management in Malaysia. Journal of Cleaner Production, Vol. 252.
36. Kozina, A., Radica, G., & Nižetić, S. (2020). Analysis of methods towards reduction of harmful pollutants from Diesel engines. Journal of Cleaner Production: 262, 121105.
37. Langleya, D.J., Doorn, J.V., Ng, Irene C. L., Stieglitz, S., Lazovik, A., Boonstra, A., & Woodside, A.G. (2020), The Internet of Everything: Smart things and their impact on business models. Journal of Business Research, 122, 853-863.
38. Lawrence, T., & Suddaby, R. (2006). Institutions and institutional work. In S. R. Clegg, C. Hardy, T. B. Lawrence, & W. R. Nord (Eds.). Sage handbook of organization studies (pp.215–254). London: Sage.
39. Lee, K. Lee, (2015). The Internet of Things (IoT): applications, investments and challenges for enterprises, Bus. Horiz. 58 (4) 431–440.
40. Li, J., Han, Y., Mao, G., & Wang, P. (2020). Optimization of exhaust emissions from marine engine fueled with LNG/diesel using response surface methodology. Energy Sources Part A Recovery Utilization and Environmental Effects, 42 (12), 1436-1448.
41. Li, M., Gu, W., Chen, W., He, Y., Wu, Y. & Zhang, Y. (2018). Smart Home:Architecture, Technologies and Systems. Procedia Computer Science, Vol. 131, 393-400.
42. Li, Y., Gao, M., Yang, L., Zhang, C., Zhang, B., & Zhao, X. (2020). Design of and research on industrial measuring devices based on Internet of Things technology. Ad Hoc Networks, Vol. 102.
43. Liegeard, J., & Manning, L. (2020). Use of intelligent applications to reduce household food waste. Critical Review in Food Science and Nutrition, Vol. 60 (6), 1048-1061.
44. Luque-Vega, L.F., Michel-Torres, D.A., Lopez-Neri, E., Carlos-Mancilla, M.A., González-Jiménez, L.E., (2019). Iot smart parking system based on the visual-aided smart vehicle presence sensor: SPIN-V. Sensors 20 (5).
45. Mendes, Douglas, L.S., Rabelo, Ricardo A.L., Veloso, Artur F.S., Rodrigues Joel, J.P.C., & dos Reis Junior, Jose V. (2020). An adaptive data compression mechanism for smart meters considering a demand side management scenario. Journal of Cleaner Production, Vol. 255, 120190.
46. Moniruzzaman, M., Khezr, S., Yassine, A., & Benlamri, R. (2020). Blockchain for smart homes: review of current trends and research challenges. Comput. Electr. Eng. 83.
47. Muthu, B.A., Sivaparthipan, C.B., Manogaran, G., Sundarasekar, R., Kadry, S., Shanthini, A., & Dasel, A. (2020). IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector. Peer-to-Peer Networking and Applications. 13(1).
48. Ng, I. C. L., & Wakenshaw, S. Y. L. (2017). The Internet-of-Things: Review and Research Directions. International Journal of Research in Marketing, 34(1), 3–21.
49. Ng, I. C. L., Scharf, K., Pogrebna, G., & Maull, R. (2015). Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management. International Journal of Production Economics, 159, 76–87.
50. Nivetha, R., Preethi, S., Priyadharshini, P., Shunmugapriya, B., Paramasivan, B., & Naskath, J. (2020). Smart health monitoring system using iot for assisted living of senior and challenged people. International Journal of Scientific and Technology Research 9 (2), 4285-4288.
51. Nižetić, S., Djilali, N., Papadopoulos, A., & Rodrigues, J.J.P.C. (2019). Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management. J. Clean. Prod. 231, 565-591.
52. Padmaja, B., Narasimha Rao, P.V., Madhu Bala,M., & Rao Patro, E.K. (2019). In: Proceedings of the International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2018, 26 February 2019, pp. 18-21.
53. Pawar, P., TarunKumar, M., & Vittal, K.P. (2020). An IoT based Intelligent Smart Energy Management System with accurate forecasting and load strategy for renewable generation. Measurement: Journal of the International Measurement Confederation 152. Article number 107187.
54. Perković, T., Šolić, P., Zargariasl, H., Čoko, D., & Rodrigues, J.J.P.C. (2020). Smart parking sensors: state of the art and performance evaluation. Journal of Cleaner Production, Vol. 262, 121181.
55. Qiu, B., Duan, F., & He, G. (2020). Value adding industrial solid wastes: impact of industrial solid wastes upon copper removal performance of synthesized low cost adsorbents. Energy Sources, Part A: Recovery, Utilization. and Environmental Effects, Vol. 42 (7), 835-848.
56. Rahimi, M., Songhorabadi, M., & Kashani, M.H. (2020). Fog-based smart homes: a systematic review. Journal of Network and Computer Applications, Vol. 153. Article number 102531.
57. Rishav, M., Maity, R., Ghosh, D., Ganesh, V.N., & Siva kumar. (2019). Internet of thing based smart power grid for smart city. International Journal of Recent Technology and Engineering, Vol. 8 (1S4), 450-453.
58. Saki, M., Abolhasan, M., & Lipman, J.E. (2020). A novel approach for big data classification and transportation in rail networks. IEEE Transactions on Intelligent Transportation Systems PP (99) : 1-11.
59. Schneider, S. and Spieth, P. (2013). Business model innovation: Towards an integrated future research agenda. International Journal of Innovation Management, Vol. 17(1).doi : 10.1142/S136391961340001X
60. Shafi, U., Mumtaz, R., García-Nieto, J., Hassan, S.A., Zaidi, S.A.R., & Iqbal, N.(2020. Precision agriculture techniques and practices: from considerations to applications. Sensors 17 (1).
61. Shamayleh, A., Awad, M., & Farhat, J. (2020). IoT based predictive maintenance management of medical equipment. Journal of Medical Systems. 44 (4).
62. Shen, X., & Fantacci, R., Chen, S. (2020). Internet of vehicles. Proc. IEEE 108 (2), 242-245. Article number 8967259.
63. Suwon, K., & Seongcheol, K. (2016). A multi-criteria approach toward discovering killer IoT application in Korea. Technol. Forecast. Soc. Chang. 102, 143–155.
64. Tawalbeh, N., Abusamaha, H.M., & Al-Salaymeh, A. (2019). Domestic appliances scheduling using BPSO and IoT. 2019 IEEE PES Innovative Smart Grid Technologies Europe, September 2019.
65. Tesch, J., Brillinger, A.S., & Bilgeri, D. (2017). Internet of things Business Model Innovation and the Stage-Gate Process: An Exploratory Analysis. International Journal of Innovation Management 21(5). doi:10.1142/S1363919617400023
66. Tuballa, M.L., & Lochinvar Abundo, M. (2016). A review of the development of Smart Grid technologies. Renewable and Sustainable Energy Reviews, Vol. 59, 710-725.
67. Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension and update of service dominant logic. Journal of the Academy of Marketing Science, 44(1), 5–23.
68. Xin, Y., & Tao, F. (2020). Developing climate-smart agricultural systems in the North China Plain. Agric. Agriculture, Ecosystems & Environment: Vol. 291. Article number 106791.
69. Yang, L. T., Di Martino, B., & Zhang, Q. (2017). Internet of everything (editorial). Mobile Information Systems, 1–3.
70. Yang, M., Wang, G., Ahmed, K.F., Adugna, B., Eggen, M., Atsbeha, E., You, L., Koo, J., & Anagnostou, E. (2020). The Role of Climate in the Trend and Variability of Ethiopia’s Cereal Crop Yields, vol. 723.
71. Zhang, D., Chan, C.C., & You Zhou, G. (2018). Enabling Industrial Internet of Things (IIoT) towards an emerging. Global Energy Interconnection, Vol.1, 39-47.
72. Zhou, B., Li, W., Chan, K.W., Cao, Y., Kuang, Y., & Liu, Xi., Wang, X. (2016). Smart home energy management systems: concept, configurations, and scheduling strategies. Renew. Sustain. Energy Rev. 61, 30-40.

三、網路
1. AT&T,2016, 「AT&T to Acquire Time Warner」,
https://about.att.com/story/att_to_acquire_time_warner.html
2. European Audiovisual Observatory,2016,「The online advertising market in the EU Update 2015 and Focus on programmatic advertising」,
https://www.medienorge.uib.no/files/Eksterne_pub/TheonlineadvertisingmarketintheEU.pdf
3. European Union,2017,「Industry 4.0 in agriculture: Focus on IoT aspects」,
Ec.europa.eu/growth/tools-databases/dem/monitor/sites/default/files/DTM_Agriculture%204.0%20IoT%20v1.pdf
4. FAO,2013,「Food wastage footprint: Impacts on natural resources」Summary report,
fao.org/news/story/en/item/196402/icode/
5. Market US,2020, 「Yahoo Statistics and Facts」,
https://market.us/statistics/web-search-engine/yahoo/
6. Mckinsey,2017, 「What’s new with the Internet of Things?」Article,
https://www.mckinsey.com/industries/semiconductors/our-insights/whats-new-with-the-internet-of-things#
7. Ministry of Science and ICT,2020, 「Announcement of the number of pay TV subscribers and market share in the first half of 2020」,
https://www.msit.go.kr/bbs/view.do?sCode=user&mId=113&mPid=112&pageIndex=1&bbsSeqNo=94&nttSeqNo=3176788&searchOpt=ALL&searchTxt=%EB%85%84+%EC%83%81%EB%B0%98%EA%B8%B0+%EC%9C%A0%EB%A3%8C%EB%B0%A9%EC%86%A1+%EA%B0%80%EC%9E%85%EC%9E%90+%EC%88%98+%EB%B0%8F+%EC%8B%9C%EC%9E%A5%EC%A0%90%EC%9C%A0%EC%9C%A8+%EB%B0%9C%ED%91%9C
8. Monsanto,2012, 「farming innovation」,
http://www.monsantoglobal.com/products/Documents/pipeline-flash/pdfs/TechPipelineALL.pdf
9. NET Smart IoT Solution,
http://iot.farsite.com/products/
10. Nielsen,2019, 「TOPS OF 2019: DIGITAL IN JAPAN ~2019年日本のインターネットサービス利用者数/利用時間ランキング(ニールセン発表)~」,
https://www.nielsen.com/jp/ja/insights/article/2019/20191219-tops-of-2019-digital-in-japan/
11. Smart Waste Management Market,
http://www.quamtra.com/en/technology/
12. Stage-Gate International,2020, 「Stage-Gate in action」,
https://www.stage-gate.la/stage-gate-en-accion/
13. The verge,2016, 「Charter officially owns Time Warner Cable, creating the US's second largest cable provider」,
https://www.theverge.com/2016/5/18/11700208/charter-twc-bright-house-merger-complete-second-largest-cable-provider-us
14. World Health Organization: WHO,2019, 「Coronavirus」,
Who.int/health-topics/coronavirus#tab¼tab_1
15. 工業局,2018, 「物聯網產業現況」,
https://www.sipo.org.tw/industry-overview/industry-state-quo/iot-industry-state-quo.html
16. 中央銀行,2020, 「純網路銀行之發展與相關議題」,
https://www.cbc.gov.tw/Public/Attachment/86211801371.pdf
17. 易觀千帆,2020, 「APP应用月度TOP榜」,
https://qianfan.analysys.cn/
18. 國家通訊傳播委員會NCC,「2014~2020年電信年度統計圖表」,
https://www.ncc.gov.tw/chinese/gradation.aspx?site_content_sn=4159&is_history=0
19. 國家通訊傳播委員會NCC,「2014~2020年有線廣播電視訂戶數(依集團)」,
https://www.ncc.gov.tw/chinese/news.aspx?site_content_sn=2989
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code