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題名 現代科技與線上博奕之發展與應用 作者 李威
Lee, Wei貢獻者 謝明華
李威
Lee, Wei關鍵詞 線上博弈
人工智慧
區塊鏈
加密貨幣日期 2021 上傳時間 2-Sep-2021 16:07:44 (UTC+8) 摘要 本研究統整目前線上博弈產業的發展,以及各市場目前之現況。博弈產業依照遊戲型態可分為運動博弈、賭場遊樂設施以及樂透彩票。線上博弈產業以歐洲與美國市場發展最為快速,預計未來將由美國與中國主導博弈產業的發展。在新興科技上,人工智慧以及區塊鏈技術為未來破壞式創新之重要技術,這些技術可以應用於線上博弈產業中,人工智慧應用層面包含提升客戶服務、防範博弈作弊、偵測詐欺交易、透過數據以符合各國法規監管以及搜集玩家之資訊提升用戶體驗等。Playscan 即為一個將人工智慧應用在博弈市場的負責任賭博之解決方案。 參考文獻 王品勻. (2010). 線上博弈網站品質與資訊安全及隱私對網站滿意度與忠誠度之影響-享樂價值之中介角色.劉代洋. (2009). 博奕產業管理概論. In 博奕產業管理概論.蔡敏琪. (2009). 觀光賭場管理機制之研究-以美國、新加玻、澳門、澳洲為例.ArthurD.Little. (2009). Online Gambling: All In? Retrieved from https://www.adlittle.com/sites/default/files/viewpoints/ADL_OG_01.pdfCalvinAyre. (2020). The Global Gambling Industry: Its main Trends and Forecasts for 2020-2025. Retrieved from https://betting-insider.com/blog/gamblingtrendsDavenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review(January–February 2018), 108-116.Gainsbury, S. M., & Blaszczynski, A. (2017). How blockchain and cryptocurrency technology could revolutionize online gambling. Gaming Law Review, 21(7), 482-492.GrandViewResearch. (2020). Online Gambling Market Size, Share & Trends Analysis Report By Type (Sports Betting, Casinos, Poker, Bingo), By Device (Desktop, Mobile), By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2020 - 2027. Retrieved from https://www.grandviewresearch.com/industry-analysis/online-gambling-market/methodologyH2GamblingCapital. (2020). COVID19 - H2 Gambling Capital Impact Tracker - Week 48 - 31 December 2020. Retrieved from https://h2gc.com/news/general/covid19-h2-gambling-capital-impact-tracker-week-48-december-2020H2GamblingCapital. (2021a). H2 Gambling Capital - COVID Gross Win Impact Tracker 27 May 2021. Retrieved from https://h2gc.com/news/general/h2-gambling-capital-covid-gross-win-impact-tracker-27-may-2021H2GamblingCapital. (2021b). H2 Gambling Capital’s Analysis Shows Online Operator Growth of 38% in Q1. Retrieved from https://h2gc.com/news/general/h2-gambling-capitals-analysis-shows-online-operator-growth-of-38-in-q1Intelligence, M. (2021). ONLINE GAMBLING MARKET - GROWTH, TRENDS, COVID-19 IMPACT, AND FORECASTS (2021 - 2026). Retrieved from https://www.mordorintelligence.com/industry-reports/online-gambling-marketLam, D. (2009). The world of Chinese gambling: Peacock Publications.Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach: Malaysia; Pearson Education Limited. 描述 碩士
國立政治大學
經營管理碩士學程(EMBA)
104932415資料來源 http://thesis.lib.nccu.edu.tw/record/#G0104932415 資料類型 thesis dc.contributor.advisor 謝明華 zh_TW dc.contributor.author (Authors) 李威 zh_TW dc.contributor.author (Authors) Lee, Wei en_US dc.creator (作者) 李威 zh_TW dc.creator (作者) Lee, Wei en_US dc.date (日期) 2021 en_US dc.date.accessioned 2-Sep-2021 16:07:44 (UTC+8) - dc.date.available 2-Sep-2021 16:07:44 (UTC+8) - dc.date.issued (上傳時間) 2-Sep-2021 16:07:44 (UTC+8) - dc.identifier (Other Identifiers) G0104932415 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136870 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 經營管理碩士學程(EMBA) zh_TW dc.description (描述) 104932415 zh_TW dc.description.abstract (摘要) 本研究統整目前線上博弈產業的發展,以及各市場目前之現況。博弈產業依照遊戲型態可分為運動博弈、賭場遊樂設施以及樂透彩票。線上博弈產業以歐洲與美國市場發展最為快速,預計未來將由美國與中國主導博弈產業的發展。在新興科技上,人工智慧以及區塊鏈技術為未來破壞式創新之重要技術,這些技術可以應用於線上博弈產業中,人工智慧應用層面包含提升客戶服務、防範博弈作弊、偵測詐欺交易、透過數據以符合各國法規監管以及搜集玩家之資訊提升用戶體驗等。Playscan 即為一個將人工智慧應用在博弈市場的負責任賭博之解決方案。 zh_TW dc.description.tableofcontents 第一章 緒論 1第一節 研究背景與動機 1第二節 研究方法與目的 7第二章 線上博弈 10第一節 何謂博弈產業 10第二節 線上博奕之發展 14第三章 現代科技 34第一節 人工智慧技術 34第二節 區塊鏈技術 37第四章 現代科技應用在線上博奕 42第一節 應用層面 42第二節 加密貨幣應用層面 47第五章 結論 50參考文獻 52 zh_TW dc.format.extent 717688 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0104932415 en_US dc.subject (關鍵詞) 線上博弈 zh_TW dc.subject (關鍵詞) 人工智慧 zh_TW dc.subject (關鍵詞) 區塊鏈 zh_TW dc.subject (關鍵詞) 加密貨幣 zh_TW dc.title (題名) 現代科技與線上博奕之發展與應用 zh_TW dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 王品勻. (2010). 線上博弈網站品質與資訊安全及隱私對網站滿意度與忠誠度之影響-享樂價值之中介角色.劉代洋. (2009). 博奕產業管理概論. In 博奕產業管理概論.蔡敏琪. (2009). 觀光賭場管理機制之研究-以美國、新加玻、澳門、澳洲為例.ArthurD.Little. (2009). Online Gambling: All In? Retrieved from https://www.adlittle.com/sites/default/files/viewpoints/ADL_OG_01.pdfCalvinAyre. (2020). The Global Gambling Industry: Its main Trends and Forecasts for 2020-2025. Retrieved from https://betting-insider.com/blog/gamblingtrendsDavenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review(January–February 2018), 108-116.Gainsbury, S. M., & Blaszczynski, A. (2017). How blockchain and cryptocurrency technology could revolutionize online gambling. Gaming Law Review, 21(7), 482-492.GrandViewResearch. (2020). Online Gambling Market Size, Share & Trends Analysis Report By Type (Sports Betting, Casinos, Poker, Bingo), By Device (Desktop, Mobile), By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2020 - 2027. Retrieved from https://www.grandviewresearch.com/industry-analysis/online-gambling-market/methodologyH2GamblingCapital. (2020). COVID19 - H2 Gambling Capital Impact Tracker - Week 48 - 31 December 2020. Retrieved from https://h2gc.com/news/general/covid19-h2-gambling-capital-impact-tracker-week-48-december-2020H2GamblingCapital. (2021a). H2 Gambling Capital - COVID Gross Win Impact Tracker 27 May 2021. Retrieved from https://h2gc.com/news/general/h2-gambling-capital-covid-gross-win-impact-tracker-27-may-2021H2GamblingCapital. (2021b). H2 Gambling Capital’s Analysis Shows Online Operator Growth of 38% in Q1. Retrieved from https://h2gc.com/news/general/h2-gambling-capitals-analysis-shows-online-operator-growth-of-38-in-q1Intelligence, M. (2021). ONLINE GAMBLING MARKET - GROWTH, TRENDS, COVID-19 IMPACT, AND FORECASTS (2021 - 2026). Retrieved from https://www.mordorintelligence.com/industry-reports/online-gambling-marketLam, D. (2009). The world of Chinese gambling: Peacock Publications.Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach: Malaysia; Pearson Education Limited. zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202101372 en_US
