簡易檢索 / 詳目顯示

研究生: 黃冠燁
Huang, Guan-Ye
論文名稱: 臺灣獨立餐廳採用機器人、人工智慧和服務自動化 (RAISA) 的動機與阻礙之個案研究
A Case study on the Motivations and Barriers to the Adoption of Robots, Artificial Intelligence, and Service Automation (RAISA) in Independent Restaurants in Taiwan
指導教授: 麥康妮
Athena H.N. Mak
口試委員: 麥康妮
Athena H.N. Mak
古志銘
Ku, Chih-Ming
林信宏
Lin, Hsin-Hung
口試日期: 2024/07/08
學位類別: 碩士
Master
系所名稱: 運動休閒與餐旅管理研究所運動休閒與餐旅管理碩士在職專班
Graduate Institute of Sport, Leisure and Hospitality Management_Continuing Education Master's Program of Sport, Leisure and Hospitality Management
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 85
中文關鍵詞: 理性選擇理論成本效益分析動機阻礙獨立餐廳
英文關鍵詞: Rational Choice Theory, Cost-benefit Analysis, Motivation, Obstacles, Independent Restaurants
研究方法: 個案研究法主題分析半結構式訪談法
DOI URL: http://doi.org/10.6345/NTNU202401854
論文種類: 學術論文
相關次數: 點閱:158下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 自2019年COVID-19疫情以來,全球面臨嚴重的長期人力短缺問題,對於餐飲業來說,人力的短缺造成餐廳廚師和服務生不足,影響餐廳營運,同時也是推動企業導入機器人 (Robots)、人工智慧 (Artificial Intelligence) 和服務自動化 (Service Automation) (以下簡稱RAISA) 設備的關鍵因素之一。採用自動化在很大程度上被視為解決工作人力短缺的問題或降低勞動成本的方法,從而產提升營運績效;然而,在決定是否使用RAISA設備時,需要考量成本和收益的平衡,此外,心理因素也可能會進一步限制RAISA設備是否會被餐廳採用。因此,本研究欲透過理性選擇理論和成本效益分析來探討餐廳管理者導入RAISA設備的動機與阻礙。本研究採用質性研究取徑中的多個案研究法,並使用半結構式深度訪談法,以立意抽樣法篩選營運年數超過三年且已導入RAISA設備之獨立餐廳,並選取5間獨立餐廳的管理者與員工進行訪談,探討餐廳管理者導入RAISA設備的動機與阻礙。採主題分析法 (Thematic analysis),並通過專家檢核與參與者檢核來確保研究的可信賴度 (Trustworthiness)。研究結果顯示:導入RAISA動機主要可分為五大主因,分別為降低出錯率、改善流程、行銷效果、減少人力與降低成本;導入的阻礙亦分為五大主因,分別為初期建置門檻高、設備故障、汰換成本、空間限制與客人因素。餐飲業者在導入RAISA設備後,員工工作效率和工作流程明顯改善,可以依餐廳類型評估合適的RAISA設備用以改善餐廳營運績效,然而,由於初期導入RAISA設備成本高,應評估是否能符合成本效益及初期資金是否足夠,或採用租購方案降低初期投入成本並分散風險;此外,維修是後續隱藏的成本,可以透過成本效益分析來檢視導入設備是否達到營運績效改善;維修是否方便也是很重要的考量因素,應該要有設備故障時的備用配套方案,避免影響到餐廳營運。

    Since the COVID-19 pandemic, the world has faced severe long-term labor shortages. For the restaurant industry, the labor shortage has resulted in a lack of chefs and serving staff, affecting restaurant operations. This has become a key factor driving businesses to adopt Robots, Artificial Intelligence, and Service Automation (RAISA) systems. Automation is largely seen as a solution to labor shortages or a method to reduce labor costs, thereby enhancing operational performance. However, when deciding whether to implement RAISA systems, it is important to balance costs and benefits, and psychological factors may further limit the adoption of RAISA systems by restaurants.
    This study aims to explore the motivations and obstacles for restaurant managers in implementing RAISA systems using rational choice theory and cost-benefit analysis. The research employs a qualitative approach using multiple case studies and semi-structured in-depth interviews. Purposive sampling was used to select independent restaurants that have been in operation for more than three years and had already implemented RAISA systems. Five managers and employees from independent restaurants were interviewed to investigate the motivations and obstacles in implementing RAISA systems. Thematic analysis was used to analyze the data obtained from the interviews, and the trustworthiness of the study was ensured through member checking and peer debriefing.
    The findings of the study show that the motivations for adopting RAISA can be categorized into five main factors: reducing error rates, improving processes, marketing effects, reducing manpower, and lowering costs. The obstacles to adoption are classified into five main categories: high initial setup costs, equipment failure, replacement costs, space limitations, and customer factors. After implementing RAISA systems, restaurant operators found significant improvements in employee efficiency and workflow. Appropriate RAISA systems can be evaluated based on the type of restaurant to improve operational performance. However, due to the high initial cost of implementing RAISA systems, it is necessary to assess whether the cost-effectiveness meets the requirements and whether the initial funding is sufficient. A lease-purchase scheme to reduce initial investment costs and spread risks may be considered. Additionally, maintenance is a hidden cost that can be examined through cost-benefit analysis to determine if the equipment meets the operational performance improvement goals. The ease of maintenance is also a crucial consideration, and there should be contingency plans in place in case of equipment failure to avoid impacting restaurant operations.

    第壹章 緒論 1 第一節 研究背景與動機 1 第二節 問題陳述 4 第三節 研究目的 10 第四節 名詞釋義 10 第貳章 文獻探討 12 第一節 機器人、人工智慧、服務自動化 (RAISA) 12 第二節 獨立餐廳 16 第三節 動機 19 第四節 阻礙 20 第五節 理性選擇理論 21 第六節 成本效益分析 23 第七節 研究缺口 25 第參章 研究方法 26 第一節 研究架構 26 第二節 研究步驟 29 第三節 訪談對象與訪談大綱 30 第四節 資料處理與分析 33 第五節 資料的信實度 34 第六節 研究倫理 37 第肆章 研究結果與討論 38 第一節 受訪者背景 38 第二節 餐廳導入RAISA設備的動機 39 第三節 餐廳導入RAISA設備的阻礙 52 第四節 餐廳員工對於導入RAISA設備的態度 63 第五節 餐廳導入RAISA設備的實際成效 66 第伍章 結論與建議 67 第一節 結果與討論 67 第二節 研究限制 71 第三節 管理意涵 71 第四節 研究貢獻 72 參考文獻 75 附錄 85 附錄一 訪談同意書 85

    Cindy Lo (2020,11月16日)。餐飲自動化與機器人,志不在全面取代人力,而是提升價值效率的另一個選擇。NOM Magazine。https://nommagazine.com/%E9%A4%90%E9%A3%B2%E8%87%AA%E5%8B%95%E5%8C%96%E8%88%87%E6%A9%9F%E5%99%A8%E4%BA%BA-%E5%BF%97%E4%B8%8D%E5%9C%A8%E5%85%A8%E9%9D%A2%E5%8F%96%E4%BB%A3%E4%BA%BA%E5%8A%9B%EF%BC%8C%E8%80%8C%E6%98%AF/
    小貝 (2016,5月15日)。噱頭過後,餐飲機器人「歇菜」,是誰的智商不夠?。餐飲O2O。https://kknews.cc/zh-tw/news/re2xa44.html
    中華民國經濟部統計處(2023,10月31日)。批發、零售及餐飲業經營實況調查報告 民國 112 年。經濟部統計處。https://www.moea.gov.tw/MNS/dos/bulletin/Bulletin.aspx?kind=28&html=1&menu_id=16959&bull_id=15925
    王正方、鄭青展、徐軍蘭 (2012)。探討餐飲業自助式電子點餐服務之接受意願與營運績效-整合顧客與業者觀點。績效與策略研究,9(1),63-83。https://doi.org/10.6736/JPSR.201203_9(1).0004
    江叔盈、卓育愷、黃淳俊、鄭恬、阮佑宸 (2022)。智能服務型機器人與智能餐廳系統。資訊電子學刊,10(1),215-234。https://www.airitilibrary.com/Article/Detail?DocID=P20230213001-N202302130022-00013
    呂崇富 (2022)。智能餐廳創新服務之研究與開發。資訊、科技與社會學報,22。https://jitas.cpu.edu.tw/2022/5.pdf
    李金鳳、陳炫霖、郭丞皓、陳冠杰、李家伃、李後翰、陳冠樺 (2019)。機器人餐廳服務生。載於國立金門大學 (主編),NCS 2019 全國計算機會議 (頁563-572)。國立金門大學。https://doi.org/10.6927/NCS.201911.0109
    阮光勛 (2014)。促進質性研究的品質與可信性。國教新知,61(1),92-102。https://doi.org/10.6701/TEEJ.201403_61(1).0010
    林水金 (2011)。臺東餐飲業經營成功關鍵因素之研究 [碩士論文,國立臺東大學]。臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/4hjd39
    林哲民 (2022)。點餐服務機器人使用意圖之研究 [碩士論文,中原大學]。https://doi.org/10.6840/cycu202201700
    俞斐文 (2019)。自助點餐機服務人員對顧客體驗感受之影響研究 [碩士論文,國立臺灣師範大學]。華藝線上圖書館。https://doi.org/10.6345/NTNU201900109
    孫婉庭 (2020)。以方法目的鏈探討自助點餐機顧客使用行為之研究 [碩士論文,國立臺中科技大學]。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0061-0207202000564700
    涂達中 (2019)。以科技引導服務創新模式探討餐飲業自動化在小型中式餐館的商機[碩士論文,東海大學]。臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/5ejut5
    郭岱軒 (2018,6月22日)。開機器人餐廳有搞頭?范可欽創業請「機器大廚」上菜,傲稱:他不用一例一休、也沒情緒!。風傳媒。https://www.storm.mg/lifestyle/451449
    郭家宏 (2019,3月21日)。全臺首家「機器人餐廳」開幕!機器人煮牛肉麵,3 分鐘立馬上桌。TechOrange科技報橘。https://buzzorange.com/techorange/2019/03/21/irobot-beef-noodles/
    鈕文英 (2014)。質性研究方法與論文寫作。雙葉書廊。
    黃小毛 (2017,5月28日)。台南美食-ALIZ 艾樂滋 ALIZ公主機器人華麗上菜 好食X 好樂 親子樂淘夢工場。跟著小毛一起趴趴GO。痞客邦https://hellomomo8.pixnet.net/blog/post/459138193#google_vignette
    楊谷洋 (2021)。羅伯特玩真的? AI機器人時代的夢想進行式。國立陽明交通大學出版社。
    葉伃珈 (2007)。大專院校校內設立無人服務餐廳可行性之研究-以南部地區為例 [碩士論文,國立高雄餐旅大學]。華藝線上圖書館。https://doi.org/10.6825/NKUHT.2007.00008
    鄒倫、張祖恩(主編) (2018)。循環經濟系列叢書第二冊 循環經濟評估工作技術。財團法人中技社。
    廖珮筑 (2024)。餐廳經理和服務員對服務機器人的認知之研究-以西堤牛排為例 [碩士論文,屏東科技大學]。華藝線上圖書館。https://doi.org/10.6346/NPUST202400103
    劉鳳錄 (2014)。應用視訊處理之自動化餐點資訊展示及點餐系統 [碩士論文,中原大學]。華藝線上圖書館。https://doi.org/10.6840/cycu201400475
    戴賢仁 (2022)。智慧型點餐系統之可行性分析-以連鎖餐飲點餐系統為例 [碩士論文,義守大學] 。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0074-3107202215211200
    Bader, F., & Rahimifard, S. (2020). A methodology for the selection of industrial robots in food handling. Innovative Food Science and Emerging Technologies, 64, Article 102379. https://doi.org/10.1016/j.ifset.2020.102379
    Bagozzi, R. P. (1992). The self-regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55(2), 178-204. https://doi.org/10.2307/2786945
    Ben-Ari, M., & Mondada, F (Eds). (2018). Robots and Their Applications. In Elements of Robotics (pp. 1-20). Springer Publishing Company. https://doi.org/10.1007/978-3-319-62533-1_1
    Bevir, M. (2010). Rational choice theory. Encyclopedia of Political Theory, 3, 1150-1158. SAGE Publications, Inc., https://doi.org/10.4135/9781412958660
    Biddle, B. J. (2013). Role theory: Expectations, identities, and behaviors. Academic press.
    Bieller, S. (2019, September 18). Serviceroboter: Weltweiter Verkaufswert erreicht 12,9 Milliarden USD - IFR stellt neuen Bericht „World Robotics 2019“ vor. International Federation of Robotics Secretariat. https://ifr.org/downloads/press2018/2019-09-18_Pressemeldung_IFR_World_Robotics_2019_Service_Robots_deutsch.pdf
    Blume, Lawrence E., & David Easley. (2005). Rationality and Selection in Asset Markets. In Lawrence E. Blume, and Steven N. Durlauf (eds), The Economy as an Evolving Complex System, III: Current Perspectives and Future Directions (pp.49-66). Oxford University Press https://doi.org/10.1093/acprof:oso/9780195162592.003.0004
    Bodenhausen, G., Kang, S., & Peery, D. (2012). Social categorization and the perception of social groups. In S. T. Fiske & C. N. Macrae (Eds), The SAGE Handbook of Social Cognition (pp. 311-329). SAGE Publications Ltd. https://doi.org/10.4135/9781446247631
    Carpenter, J., Davis, J. M., Erwin-Stewart, N., Lee, T. R., Bransford, J. D., & Vye, N. (2009). Gender representation and humanoid robots designed for domestic use. International Journal of Social Robotics, 1, 261-265. https://doi.org/10.1007/s12369-009-0016-4
    Chang, W., & Kim, K. (2022). Appropriate service robots in exchange and communal relationships. Journal of Business Research, 141, 462-474. https://doi.org/10.1016/j.jbusres.2021.11.044
    Collier, D. A. (1983). The service sector revolution: The automation of services. Long Range Planning, 16(6), 10-20. https://doi.org/10.1016/0024-6301(83)90002-X
    Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020). The strategic impacts of Intelligent Automation for knowledge and service work: An interdisciplinary review. The Journal of Strategic Information Systems, 29(4), 101600. https://doi.org/10.1016/j.jsis.2020.101600
    Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: an investigation of alternative models of service quality. International Journal of research in Marketing, 13(1), 29-51.
    Darian, J. C. (1987). In-home shopping: are there consumer segments? Journal of Retailing, 63(2), 163–186.
    David, R., Ngulube, P., & Dube, A. (2013). A cost-benefit analysis of document management strategies used at a financial institution in Zimbabwe: A case study. South African Journal of Information Management, 15(2), a540. https://doi.org/10.4102/sajim.v15i2.540
    De Gauquier, L., Willems, K., Cao, H.-L., Vanderborght, B., & Brengman, M. (2023). Together or alone: Should service robots and frontline employees collaborate in retail-customer interactions at the POS? Journal of Retailing and Consumer Services, 70, 103176. https://doi.org/10.1016/j.jretconser.2022.103176
    Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154-1176.
    El-Said, O., & Al Hajri, S. (2022). Are customers happy with robot service? Investigating satisfaction with robot service restaurants during the COVID-19 pandemic. Heliyon, 8(3), e08986. https://doi.org/10.1016/j.heliyon.2022.e08986
    Fetzer, J. H., & Fetzer, J. H. (1990). What is Artificial Intelligence? Springer.
    Fiske, S. T., Cuddy, A. J., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in cognitive sciences, 11(2), 77-83. https://doi.org/10.1016/j.tics.2006.11.005
    Frankfurt. (2022, October 13). World Robotics report: “All-Time High” with half a million robots installed. International Federation of Robotics. https://ifr.org/ifr-press-releases/news/wr-report-all-time-high-with-half-a-million-robots-installed
    Gao, M., Zhou, H., Yang, Y., Dong, Z., & He, Z. (2022). An intelligent master–slave collaborative robot system for cafeteria service. Robotics and Autonomous Systems, 154, 104121. https://doi.org/10.1016/j.robot.2022.104121
    Grewal, D., Kroschke, M., Mende, M., Roggeveen, A. L., & Scott, M. L. (2020). Frontline cyborgs at your service: How human enhancement technologies affect customer experiences in retail, sales, and service settings. Journal of Interactive Marketing, 51(1), 9-25. https://doi.org/10.1016/j.intmar.2020.03.001
    Guan, X., Xie, L., Shen, W.-G., & Huan, T.-C. (2021). Are you a tech-savvy person? Exploring factors influencing customers using self-service technology. Technology in Society, 65, 101564. https://doi.org/10.1016/j.techsoc.2021.101564
    Ho, T. H., Tojib, D., & Tsarenko, Y. (2020). Human staff vs. service robot vs. fellow customer: Does it matter who helps your customer following a service failure incident? International Journal of Hospitality Management, 87, 102501. https://doi.org/10.1016/j.ijhm.2020.102501
    Huang, D., Jin, X., Huang, J., & Kong, S. (2023). Tourist acceptance of robot chefs in gastronomy experiences: A behavioural reasoning perspective. Tourism Management Perspectives, 48, 101172. https://doi.org/https://doi.org/10.1016/j.tmp.2023.101172
    International Organization for Standardization. (2023). ISO 8373:2021Robotics — Vocabulary https://www.iso.org/obp/ui/#iso:std:iso:8373:ed-3:v1:en
    Ivanov, S. (2020). The impact of automation on tourism and hospitality jobs. Information Technology & Tourism, 22(2), 205-215. https://doi.org/10.1007/s40558-020-00175-1
    Ivanov, S., & Webster, C.(Eds) (2019). Economic fundamentals of the use of robots, artificial intelligence, and service automation in travel, tourism, and hospitality. In Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality(pp.39-55). Emerald Publishing limited. https://doi.org/10.1108/978-1-78756-687-320191002
    Ivanov, S., & Webster, C. (2020). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065-1085. https://doi.org/10.1177/1354816619879583
    Webster, C., & Ivanov, S. (2023). Robots, artificial intelligence and service automation in tourism and quality of life. In M. Uysal, & M. J. Sirgy (Eds), Handbook of tourism and quality-of-life research II: Enhancing the lives of tourists, residents of host communities and service providers (pp. 533-544). Springer International Publishing
    Jordan, S., Haidegger, T., Kovacs, L., Felde, I., & Rudas, I. (2013). The rising prospects of cloud robotic applications. In ICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings (pp. 327-332.) Tihany, Hungary. http://dx.doi.org/10.1109/ICCCyb.2013.6617612
    Kao, W.-K., & Huang, Y.-S. (2023). Service robots in full- and limited-service restaurants: Extending technology acceptance model. Journal of Hospitality and Tourism Management, 54, 10-21. https://doi.org/10.1016/j.jhtm.2022.11.006
    Kätsyri, J., Känsäkoski, J., & Hynönen, J. (2008). Anthropomorphism of robots and its effects on human-robot interaction. Proceedings of the International Conference on Human-Robot Interaction, 27-34. https://doi.org/10.1145/1349822.1349827
    Khogali, H. O., & Mekid, S. (2023). The blended future of automation and AI: Examining some long-term societal and ethical impact features. Technology in Society, 73, 102232. https://doi.org/10.1016/j.techsoc.2023.102232
    Kim, J., Giroux, M., Gonzalez-Jimenez, H., Jang, S., Kim, S., Park, J., Kim, J.-E., Lee, J. C., & Choi, Y. K. (2020). Nudging to Reduce the Perceived Threat of Coronavirus and Stockpiling Intention. Journal of Advertising, 49(5), 633-647. https://doi.org/10.1080/00913367.2020.1806154
    Kim, S., Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102795. https://doi.org/10.1016/j.ijhm.2020.102795
    Lin, I. Y., & Mattila, A. S. (2021). The Value of Service Robots from the Hotel Guest’s Perspective: A Mixed-Method Approach. International Journal of Hospitality Management, 94, 102876. https://doi.org/https://doi.org/10.1016/j.ijhm.2021.102876
    Mathath, A., & Fernando, Y. (2017). Robotic transformation and its business applications in food industry. In Information Resources Management Association (Ed), Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 2188-2211). IGI Global.
    McClure, P. K. (2018). “You’re fired,” says the robot: The rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36(2), 139-156. https://doi.org/10.1177/0894439317698637
    Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of marketing, 64(3), 50-64. https://doi.org/10.1509/jmkg.64.3.50.18024
    Mogg, T. (2019, March 4). Jibo the social robot is about to become an expensive ornament. Digital Trends. https://www.digitaltrends.com/cool-tech/jibo-the-social-robot-is-about-to-become-an-expensive-ornament/
    Noble, D. (2017). Forces of production: A social history of industrial automation. Routledge.
    Nozawa, C., Togawa, T., Velasco, C., & Motoki, K. (2022). Consumer responses to the use of artificial intelligence in luxury and non-luxury restaurants. Food Quality and Preference, 96, 104436. https://doi.org/10.1016/j.foodqual.2021.104436
    Parsa, H., Self, J. T., Njite, D., & King, T. (2005). Why restaurants fail. Cornell Hotel and Restaurant Administration Quarterly, 46(3), 304-322. http://dx.doi.org/10.1177/0010880405275598
    Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857. https://doi.org/10.1016/j.hrmr.2021.100857
    Scott, J. (2000). Rational choice theory. In G. Browning, A. Halcli, & F. Webster (Eds.), Understanding Contemporary Society: Theories of the Present (pp. 126-138). London: Sage Publications. http://dx.doi.org/10.4135/9781446218310.n9.
    Seo K. H. & Lee J. H. (2021) The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction. Sustainability. 13(8), 4431. https://doi.org/10.3390/su13084431
    Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of retailing, 94(4), vi-xi. https://doi.org/10.1016/S0022-4359(18)30076-9
    Sharma, P., Tam, J. L. M., & Kim, N. (2012). Intercultural service encounters (ICSE): an extended framework and empirical validation. Journal of Services Marketing, 26(7), 521-534. https://doi.org/10.1108/08876041211266495
    Shimmura, T., Ichikari, R., Okuma, T., Ito, H., Okada, K., & Nonaka, T. (2020). Service robot introduction to a restaurant enhances both labor productivity and service quality. Procedia CIRP, 88, 589-594. https://doi.org/10.1016/j.procir.2020.05.103
    Sitwell, W. (2020). The restaurant: A history of eating out. Simon and Schuster.
    Solomon, M. R., Surprenant, C., Czepiel, J. A., & Gutman, E. G. (1985). A role theory perspective on dyadic interactions: the service encounter. Journal of Marketing, 49(1), 99-111. https://doi.org/10.1177/002224298504900110
    Song, H., Wang, Y.-C., Yang, H., & Ma, E. (2022). Robotic employees vs. human employees: Customers’ perceived authenticity at casual dining restaurants. International Journal of Hospitality Management, 106, 103301. https://doi.org/10.1016/j.ijhm.2022.103301
    Spence, C. (2023). Robots in gastronomy: Psychological and financial considerations. International Journal of Gastronomy and Food Science, 32, 100707. https://doi.org/10.1016/j.ijgfs.2023.100707
    Stergiou, D. P., & Farmaki, A. (2021). Ability and willingness to work during COVID-19 pandemic:Perspectives of front-line hotel employees. International Journal of Hospitality Management, 93, 102770. https://doi.org/10.1016/j.ijhm.2020.102770
    Tuomi, A., Tussyadiah, I., Ling, E. C., Miller, G., & Lee, G. (2020). x=(tourism_work) y=(sdg8) while y=true: automate(x). Annals of Tourism Research, 84, 102978. https://doi.org/10.1016/j.annals.2020.102978
    Tussyadiah, I. P., Tuomi, A., Ling, E. C., Miller, G., & Lee, G. (2022). Drivers of organizational adoption of automation. Annals of Tourism Research, 93, 103308. https://doi.org/10.1016/j.annals.2021.103308
    Tversky, A., & Kahneman, D. (1989). Rational choice and the framing of decisions. In Multiple criteria decision making and risk analysis using microcomputers. Springer.
    Varian, H. R. (1992). Microeconomic analysis (3rd ed.). Norton .
    Williams, J. A., & Anderson, H. H. (2005). Engaging customers in service creation: a theater perspective. Journal of Services Marketing, 19(1), 13-23. https://doi.org/10.1108/08876040510579352
    Wirtz, J., Hofmeister, J., Chew, P. Y. P., & Ding, X. (2023). Digital service technologies, service robots, AI, and the strategic pathways to cost-effective service excellence. The Service Industries Journal, 43(15-16), 1173-1196. https://doi.org/10.1080/02642069.2023.2226596
    Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907-931. https://doi.org/10.1108/josm-04-2018-0119
    Wu, L., & Mattila, A. (2013). Investigating consumer embarrassment in service interactions. International Journal of Hospitality Management, 33, 196-202. https://doi.org/10.1016/j.ijhm.2012.08.003
    Xiao, C., & Zhao, L. (2022). Robotic Chef Versus Human Chef: The Effects of Anthropomorphism, Novel Cues, and Cooking Difficulty Level on Food Quality Prediction. International Journal of Social Robotics, 14(7), 1697-1710. https://doi.org/10.1007/s12369-022-00896-9
    Yin, R. K. (2000). Case study evaluations: A decade of progress? In D. L. Stufflebeam, G. F. Madaus, & T. Kellaghan (eds). Evaluation Models (pp 185–193). Springer. https://doi.org/10.1007/0-306-47559-6_11
    Yoon, C. (2023). Technology adoption and jobs: The effects of self-service kiosks in restaurants on labor outcomes. Technology in Society, 74 102336. https://doi.org/10.1016/j.techsoc.2023.102336
    Yu, C. E. (2019). Humanlike robots as employees in the hotel industry: Thematic content analysis of online reviews. Journal of Hospitality Marketing & Management, 29(1), 22–38. https://doi.org/10.1080/19368623.2019.1592733

    無法下載圖示 電子全文延後公開
    2027/08/15
    QR CODE