Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 國際企業學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/100144
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor簡睿哲zh_TW
dc.contributor.advisorRui-Zhe Jianen
dc.contributor.author林士清zh_TW
dc.contributor.authorShih-Ching Linen
dc.date.accessioned2025-09-24T16:38:27Z-
dc.date.available2025-09-25-
dc.date.copyright2025-09-24-
dc.date.issued2025-
dc.date.submitted2025-08-12-
dc.identifier.citation中文書目
林士清(2024)。A公司—雲端餐廳之數位轉型。《管理個案評論》,15(1),79–105。https://doi.org/10.30198/MCR.202406_15(1).0004
施晏汝(2015)。雲端平台整合POS系統與消費流程的創新研究——以餐飲業為例(碩士論文)。國立臺灣大學商學研究所。臺灣博碩士論文知識加值系統。https://doi.org/10.6342/NTU.2015.11169
經濟部統計處(2023)。餐飲業家數與從業人數分析報告。中華民國經濟部。https://www.moea.gov.tw/MNS/dos/home/Home.aspx
簡睿哲、林士清(2024)。A公司國際化策略與發展(個案編號:114-2023-25)。國立臺灣大學管理學院個案研究與推廣中心。https://management.ntu.edu.tw/Case/114-2023-25
西文書目
Ahmed, S., Razu, S. R., Rahman, M. M., Sultana, A., & Bijoy, M. R. (2022). COVID-19’s impact on the restaurant industry. Open Journal of Business and Management, 10(5), 2555–2573. https://doi.org/10.4236/ojbm.2022.105127
Abdurakhmonov, M., Ridge, J. W., & Hill, A. D. (2021). Unpacking firm external dependence: How government contract dependence affects firm investments and market performance. Academy of Management Journal, 64(1), 327-350. https://doi.org/10.5465/amj.2018.0067
Anderson, E., & Gatignon, H. (1986). Modes of foreign entry: A transaction cost analysis and propositions. Journal of International Business Studies, 17(3), 1–26. https://doi.org/10.1057/palgrave.jibs.8490432
Bartik, A. W., Bertrand, M., Cullen, Z., Glaeser, E. L., Luca, M., & Stanton, C. (2020). The impact of COVID-19 on small business outcomes and expectations. Proceedings of the National Academy of Sciences, 117(30), 17656–17666. https://doi.org/10.1073/pnas.2006991117
Budyastuti, T. (2019). Factors that Influence Individual Performance in Sales Accounting Information Systems: Case Study of the Implementation of Indomaret Point of Sales. https://doi.org/10.6007/IJARAFMS/v9-i1/5915
Brynjolfsson, E., Hu, Y. J., & Rahman, M. S. (2013). Competing in the Age of Omnichannel Retailing. MIT Sloan Management Review, 54(4), 23–29.
Ciuchita, R., & Mahr, D. (2025).Dynamic capabilities and multi-sided platforms. Industrial Marketing Management, 114, 1–13. https://doi.org/10.1016/j.indmarman.2025.01.001
Chi, J., Ou, Q., & Wang, M. (2023). A study on SaaS ERP continuous use intention of fresh food distribution SME. iBusiness, 15(2), 99–111. https://doi.org/10.4236/ib.2023.152007
Caputo, F., Pizzi, S., & Pichierri, M. (2022).Determinants of performance drivers in online food delivery platforms: A dynamic performance management perspective. Management Decision, 60(13), 29–47. https://doi.org/10.1108/IJPPM-10-2021-0606
Chadwick, C., & Flinchbaugh, C. (2021). Searching for Competitive Advantage in the HRM-Firm Performance Relationship. Academy of Management Perspectives, 35, 181-207.https://doi.org/10.5465/amp.2018.0065
Chew, S., et al. (2019). Digitalization of small and medium-sized enterprises in Singapore: Challenges and opportunities. Journal of Small Business Management, 57(S1), 123-145. https://doi.org/10.1111/jsbm.12557
Cohen, P., Hahn, R., Hall, J., Levitt, S., & Metcalfe, R. (2016). Using big data to estimate consumer surplus: The case of Uber. NBER Working Paper No. 22627. https://doi.org/10.3386/w22627
Coviello, N. (2015). Re-thinking research on born globals. Journal of International Business Studies, 46(1), 17–26. https://doi.org/10.1057/jibs.2014.59
Chien, S., Huang, J., & Lin, Y. (2014). Cloud-based POS system: A restaurant management innovation model. Journal of Hospitality and Tourism Technology, 5(1), 42-55. https://doi.org/10.1108/JHTT-12-2012-0039
Cennamo, C., & Santalo, J(2013). Platform competition: Strategic trade-offs in platform markets,Strategic Management Journal, Vol.34 , pp. 1331-1350. https://doi.org/10.1002/smj.2066
Casciaro, T., & Piskorski, M. J. (2005). Power imbalance, mutual dependence, and constraint absorption: A closer look at resource dependence theory. Administrative Science Quarterly, 50(2), 167–199. https://doi.org/10.2189/asqu.2005.50.2.167
Clemens, B. W., & Douglas, T. J. (2005). Understanding strategic responses to institutional pressures. Journal of Business Research, 58(9), 1205–1213. https://doi.org/10.1016/j.jbusres.2004.04.002
Cusumano, M.A., & Gawer. A. (2003). The elements of platform leadership, MIT Sloan Management Review, Vol.43 (3), pp. 51-58.
Drees, J. M., & Heugens, P. P. M. A. R. (2013).Synthesizing and extending resource dependence theory: A meta-analysis. Journal of Management, 39(6), 1666–1698. https://doi.org/10.1177/0149206312471391
Davis, G. F., & Cobb, J. A. (2010). Resource dependence theory: Past and future. Research in the Sociology of Organizations, 28, 21–42. https://doi.org/10.1108/S0733-558X(2010)0000028006
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Eisenmann, T., Parker, G., & Van Alstyne, M. W. (2011). Platform envelopment. Strategic Management Journal, 32(12), 1270–1285. https://doi.org/10.1002/smj.935
Evans, D. S., & Schmalensee, R. (2007). The industrial organization of markets with two-sided platforms. Competition Policy International, 3(1), 151–179.
Eikenberry, A. M., & Kluver, J. D. (2004). The marketization of the nonprofit sector: Civil society at risk? Public Administration Review, 64(2), 132–140. https://doi.org/10.1111/j.1540-6210.2004.00355.x
Feldman, P., Frazelle, A. E., & Swinney, R. (2023). “Managing relationships between restaurants and food delivery platforms: Conflict, contracts, and coordination”, Management Science, 69(2), 812–823. https://doi.org/10.1287/mnsc.2022.4390
Fei, Y., Fang, L., Luo, Z., & Liang, W. (2023).Resource dependence and enterprise ESG performance: An empirical study based on A-share listed companies. Frontiers in Ecology and Evolution, 11, 1344318. https://doi.org/10.3389/fevo.2024.1344318
Gagnon, J. E., Kamin, S. B., & Kearns, J. (2023). The impact of the COVID-19 pandemic on global GDP growth. Journal of The Japanese and International Economies, 68, 101258. https://doi.org/10.1016/j.jjie.2023.101258
Gawer, A., & Cusumano, M. A. (2014). Industry platforms and ecosystem innovation. Journal of Product Innovation Management, 31(3), 417–433. https://doi.org/10.1111/jpim.12105
Gauri, D. K., Trivedi, M., & Grewal, D. (2008). Understanding the impact of store format and loyalty programs on customer shopping behavior. Journal of Retailing, 84(3), 315–330. https://doi.org/10.1016/j.jretai.2008.06.001
Gawer, A., & Cusumano, M. A. (2002). Platform leadership: How Intel, Microsoft, and Cisco drive industry innovation. Harvard Business School Press.
Hitesh Asrani, Shubham Vishwakarma, Deepak Asrani and Dr. Komal Asrani. (2024). Point of Sale Systems, International Journal of Innovative Research in Computer Science & Technology (IJIRCST). ISSN: 2347-5552, Volume-12, Special Issue-1 . https://doi.org/10.55524/CSISTW.2024.12.1.63.
Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., … & Tatlow, H. (2021). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour, 5(4), 529–538. https://doi.org/10.1038/s41562-021-01079-8
Henfridsson, O., Bygstad, B., & Øvrelid, E. (2021). Managing the contextual complexity of digital innovation: The role of modular architecture and layered digitalization. Information Systems Journal, 31(3), 454–479. https://doi.org/10.1111/isj.12306
Ho, C. S., Tan, E., Wong, D. W., & Lim, T. (2020). Impact of COVID-19 on the restaurant industry: A case study of the Asia-Pacific region [Preprint]. arXiv. https://arxiv.org/abs/2006.07204
Hidayat, R., & Saad, M. S. M. (2015).The effect of dynamic capability to technology adoption and its impact on performance of firm. Procedia - Social and Behavioral Sciences, 211, 896–902. https://doi.org/10.1016/j.sbspro.2015.11.118
Helfat, C. E., & Martin, J. A. (2015). Dynamic managerial capabilities: Review and assessment of managerial impact on strategic change. Journal of Management, 41(5), 1281–1312. https://doi.org/10.1177/0149206314561301
Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404–1427. https://doi.org/10.1177/0149206309343469
Hillman, A. J., Cannella, A. A., & Paetzold, R. L. (2000).The resource dependence role of corporate directors: Strategic adaptation of board composition in response to environmental change. Journal of Management Studies, 37(2), 235–256. https://doi.org/10.1111/1467-6486.00179
Jean, R. J. B., Kim, D., & Cadogan, J. W. (2024). Antecedents and performance outcomes of exporters’ use of internet B2B platforms. International Marketing Review, 41(5), 1016–1043. https://doi.org/10.1108/IMR-05-2024-0139
Jiang, H., Luo, Y., Xia, J., Hitt, M. A., & Shen, J. (2022).Resource dependence theory in international business: Progress and prospects. Global Strategy Journal, 12(3), 1–55. https://doi.org/10.1002/gsj.1467
Jean, R. J. B., & Kim, D. (2021). Signaling strategies of exporters on Internet Business-to-Business platforms. Journal of Management Studies, 58(7), 1869–1898. https://doi.org/10.1111/joms.12761
Jean, R. J. B., Kim, D., & Choi, K. (2021). Pattern of information technology use and relationship learning in international customer-supplier relationships. International Business Review, 30(4), 101815. https://doi.org/10.1016/j.ibusrev.2021.101815
Jullien, B., Pavan, A., & Rysman, M. (2021). Two-sided markets, pricing, and network effects. TSE Working Paper, 21-1238. Toulouse School of Economics. https://doi.org/10.1016/bs.hesind.2021.11.007
Jean, R. J. B., Kim, D., & Cavusgil, E. (2020). Antecedents and outcomes of digital platform risk for international new ventures’ internationalization. Journal of World Business, 55(1), 101021. https://doi.org/10.1016/j.jwb.2019.101021
Jean, R. J. B., & Kim, D. (2020). Internet and SMEs’ internationalization: The role of platform and website. Journal of International Management, 26(1), 100690. https://doi.org/10.1016/j.intman.2019.100690
Jean, R. J. B., & Tan, D. (2019). The effect of institutional capabilities on e-business firms’ international performance. Management International Review, 59(4), 593–616. https://doi.org/10.1007/s11575-019-00389-4
Kim, S., Choi, Y., & Lee, J. (2024). The effect of digital transformation: Boosting productivity in the restaurant industry. Telematics and Informatics, 87, 102181. https://doi.org/10.1016/j.tele.2024.102181
Ko, C.H. (2020). Exploring information technology’s adoption in restaurants. Open Access Library Journal, 7(6), 1–17. https://doi.org/10.4236/oalib.1106470
Kimes, S. E. (2011). The role of technology in foodservice operations. Cornell Hospitality Quarterly, 52(4), 321–328. https://doi.org/10.1177/1938965511416005
Liu, C. L., & Gao, C. (2023). Strategic adaptation of small businesses in crisis: Evidence from Taiwan’s service industry. Asia Pacific Journal of Management, 40(1), 159–182. https://doi.org/10.1007/s10490-021-09786-1
Liu, Y., & Gao, W. (2023). Food inflation and small business sustainability in Asia-Pacific. Asia Pacific Journal of Economics and Business, 15(1), 65–78.
Li, J., & Kannan, K. N. (2021). On-Demand Delivery Platforms and Restaurant Sales. Management Science. https://doi.org/10.1287/mnsc.2021.01010
Loukis, E., Janssen, M., & Mintchev, I. (2019). Determinants of software-as-a-service benefits and impact on firm performance. Decision Support Systems, 117, 38–47. https://doi.org/10.1016/j.dss.2018.12.005
Liu, J., Zhang, X., & Wang, Y. (2017). SaaS-based POS system application in retail and foodservice industries. International Journal of Information Management, 37(6), 714-723. https://doi.org/10.1016/j.ijinfomgt.2017.08.003
Mok, C. W. J., Choi, F. K.-h., Chan, G. H.-h., & Liu, C.-l. (2023). Understanding Hong Kong’s failure in Zero-COVID strategy: What Hong Kong can learn from Singapore and Macao. East Asian Policy, 15(1), 89–103. https://doi.org/10.1142/S1793930523000144
Muriuki, B. K. (2021). A dynamic capabilities-based research model for innovation in independent restaurants. International Business Research, 14(12), 135–135. https://doi.org/10.5539/ibr.v14n12p135
McIntyre.D. P, and Srinivasan, A.(2017), “Networks, platforms, and strategy: Emerging views and next steps”, Special Issue: Reviews of Strategic Management Research, Vol.38(1), pp.141-160. https://doi.org/10.1002/smj.2596
Malatesta, D., & Smith, C. R. (2014). Lessons from resource dependence theory for contemporary public and nonprofit management. Public Administration Review, 74(1), 14–25. https://doi.org/10.1111/puar.12181
Nicolaï, M., & Grange, C. (2021). The digital transformation of retail during the COVID-19 pandemic: A comparative study in Canada, China, and France. In E. Mazaheri (Ed.), The impact of COVID-19 on e-commerce (pp. 1–18). Proud Pen. https://doi.org/10.51432/978-1-8381524-8-2_1
Ou, C. X., & Chan, K. C. C. (2014). Development of a theoretical framework to evaluate the impact of e-commerce platform capabilities on performance. Information & Management, 51(3), 308–318. https://doi.org/10.1016/j.im.2013.12.005
Oliver, C. (1991). Strategic responses to institutional processes. Academy of Management Review, 16(1), 145–179. https://doi.org/10.5465/amr.1991.4279002
Pavlou, P. A., & El Sawy, O. A. (2011). Understanding the elusive black box of dynamic capabilities. Decision Sciences, 42(1), 239–273. https://doi.org/10.1111/j.1540-5915.2010.00287.x
Pfeffer, J. (2003).Introduction to the classic edition. In J. Pfeffer & G. R. Salancik (Eds.), The external control of organizations: A resource dependence perspective (pp. xi–xx). Stanford, CA: Stanford University Press.
Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. New York: Harper & Row.
Rahaman, M. A., & Ahammed, M. A. (2022). Assessing the effects of COVID-19 on restaurant business from the perspective of owners and employees. Frontiers in Psychology, 13, 849249. https://doi.org/10.3389/fpsyg.2022.849249
Rietveld, J., & Eggers, J. P. (2018). Demand heterogeneity in platform markets: Implications for complementors. Organization Science, 29(2), 304–322. https://doi.org/10.1287/orsc.2017.1184
Rugman, A. M., & Verbeke, A. (2004). A perspective on regional and global strategies of multinational enterprises. Journal of International Business Studies, 35(1), 3–18. https://doi.org/10.1057/palgrave.jibs.8400073
Rochet, J. C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990–1029. https://doi.org/10.1162/154247603322493212
Sahan, H., Öner, S. C., Bayrak , A.T., Bastürk, I.,and Yıldız, O. T. (2023).Evaluating Performance of Restaurant POS Processes in Fast-Food Restaurants. Application of Emerging Technologies, Vol.115, pp28–34. https://doi.org/10.54941/ahfe1004299
Spanaki, K., & Papazafeiropoulou, A. (2021). The role of dynamic capabilities in firm-level technology adoption processes: A qualitative investigation. Journal of Enterprise Information Management, 34(6), 1814–1832. https://doi.org/10.1108/JEIM-09-2020-0360
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001
Tan, B. S., Tan, C. H., & Teo, H. H. (2023). Institutional pressures and digital platform governance: Evidence from Southeast Asia. Information Systems Journal, 33(2), 387–412. https://doi.org/10.1111/isj.12345
Tan, C. C., & Lee, V. J. (2022). Singapore’s transition to endemic COVID-19. The Lancet Regional Health – Western Pacific, 23, 100448. https://doi.org/10.1016/j.lanwpc.2022.100448
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Tong, T., Dai, H., Xiao, Q., & Yan, N. (2020). Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market. International Journal of Production Economics, 219, 375–385. https://doi.org/10.1016/j.ijpe.2019.07.010
Tiwana, A., Konsynski, B., & Bush, A. A. (2010). Research commentary—Platform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Information Systems Research, 21(4), 675–687. https://doi.org/10.1287/isre.1100.0323
Wong, H.T(2023), The construction of the strategy selection behavior of online food delivery platform based on the tripartite evolutionary game model, Asia Pacific Management Review Vol.28(3), pp. 316-326
Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: Big data analytics, new technology, and proactive testing. JAMA, 323(14), 1341–1342. https://doi.org/10.1001/jama.2020.3151
Wu, J. H., & Liang, C. M. (2020). The digital transformation of small restaurants under data-driven technologies. Journal of Small Business Management, 58(5), 977–994. https://doi.org/10.1080/00472778.2020.1775080
Winkler, T. J., & El Sawy, O. A. (2019). Dynamic capabilities triggered by cloud sourcing: A stage-based model of business model innovation. Journal of Business Economics, 89(8–9), 1009–1043. https://doi.org/10.1007/s11573-019-00943-1
Witt, M. A., & Lewin, A. Y. (2007). Outward foreign direct investment as escape response to home country institutional constraints. Journal of International Business Studies, 38(4), 579–594. https://doi.org/10.1057/palgrave.jibs.8400285
Yau, J. W. K., Lee, M. Y. K., Lim, E. Q. Y., Tan, J. Y. J., Tan, K. B. J. C., & Chua, R. S. B. (2023). Genesis, evolution and effectiveness of Singapore’s national sorting logic and home recovery policies in handling the COVID-19 Delta and Omicron waves. The Lancet Regional Health – Western Pacific, 35, 100719. https://doi.org/10.1016/j.lanwpc.2023.100719
Zeng, J., Shenkar, O., & Lee, S. H. (2021). Internationalization of platform firms from emerging economies: A dynamic capabilities perspective. Journal of World Business, 56(6), 101347. https://doi.org/10.1016/j.jwb.2021.101347
Zeng, J., Shenkar, O., & Lee, S. H. (2021). Internationalization of platform firms from emerging economies: A dynamic capabilities perspective. Journal of World Business, 56(6), 101347. https://doi.org/10.1016/j.jwb.2021.101347
Zhu, F., & Liu, Q. (2018). Competing with complementors: An empirical look at Amazon.com. Strategic Management Journal, 39(10), 2618–2642. https://doi.org/10.1002/smj.2732
研討會論文
Askalidis, G. (2015). The impact of deal depth and deal breadth on consumer behavior in daily deals. Proceedings of the 2015 ACM Conference on Economics and Computation, 1135–1135. https://doi.org/10.1145/2764468.2764567
Saltan, A. (2019). Do we know how to price SaaS: A multi-vocal literature review. Proceedings of the 2nd ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems (pp. 7–12). ACM. https://doi.org/10.1145/3340481.3342731
Zhang, X., & Liao, J. (2010). Understanding software-as-a-service performance: A dynamic capability perspective. Proceedings of the 2010 International Conference on Information Systems.
參考網站
COVID-19 Government Response Tracker:https://www.bsg.ox.ac.uk/research/covid-19-government-response-tracker
世界衛生組織(WHO)COVID-19疫情數據統計的官方網站:https://covid19.who.int
臺灣衛生福利部疾病管制署官方網站每日疫情通報:https://www.cdc.gov.tw
臺灣衛生福利部疾病管制署疫苗接種統計平台: https://www.cdc.gov.tw/Category/Page/9jFXNbCe-sFK9EImRRi2Og
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/100144-
dc.description.abstract以COVID-19 作為外部重大公共衛生衝擊事件探討數位轉型之實證檢驗仍屬稀少,亦缺乏數位工具(SaaS POS)作為可內嵌化資源配置之延伸。本研究以資源依賴理論(Resource Dependence Theory, RDT)為基礎,探討企業在COVID-19 疫情嚴峻之際如何透過SaaS POS 使用作為數位化資源緩衝機制以穩定公司績效。研究設計納入COVID-19 疫情確診數、外部平台依賴與促銷讓利策略等外部資源依賴變項,檢驗其對數位工具績效貢獻的調節效果。研究結果顯示:(1) SaaS POS 使用顯著提升公司績效,支持RDT中所強調的資源緩衝邏輯;(2)外部衝擊壓力升高將強化數位工具的績效貢獻,顯示企業在危機中調整依賴結構以強化內部資源運用;(3)當企業過度依賴平台與促銷策略時,將削弱SaaS POS 對營運績效的正向效果,此現象揭示RDT 所關注的非對稱依賴與資源失靈風險。本研究不僅回應數位轉型與危機管理領域的研究缺口,亦拓展RDT 回應外部衝擊之公衛重大事件情境下的應用,並提出平台經濟發展趨勢下應慎思在外部依賴與內部數位資源運用之間的策略平衡,以提升組織韌性與績效穩定性。zh_TW
dc.description.abstractEmpirical investigations into digital transformation under large-scale external shocks, such as the COVID-19 pandemic, remain limited—particularly in applying Resource Dependence Theory (RDT) to conceptualize digital tools like SaaS-based Point-of-Sale (SaaS POS) systems as internalized, controllable resource buffers. This study examines how firms leveraged SaaS POS systems to stabilize firm performance amid institutional volatility and resource constraints. By incorporating external dependency variables—pandemic severity, platform reliance, and promotional concession strategies—this research evaluates their moderating effects on the relationship between digital tool utilization and firm performance. The findings indicate that: (1) SaaS POS usage significantly enhances firm performance under uncertainty, supporting RDT’s buffering logic; (2) external shocks, such as rising COVID-19 case counts, amplify the positive impact of digital resource deployment, demonstrating firms’ adaptive restructuring of dependency relationships during crises; and (3) excessive reliance on external platforms or aggressive promotional strategies weakens the contribution of internal digital systems, highlighting risks of asymmetric dependence and diminishing returns on digital investment. This study contributes to the literature on crisis-driven digital transformation, extends RDT’s applicability to digitally mediated environments, and provides strategic insights for actors in the platform economy seeking to balance internal capability development with external dependency management to strengthen organizational resilience and sustain performance continuity.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-24T16:38:27Z
No. of bitstreams: 0
en
dc.description.provenanceMade available in DSpace on 2025-09-24T16:38:27Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents論文口試委員審定書 i
謝辭 ii
中文摘要及關鍵詞 iii
英文摘要及關鍵詞 iv
目次 v
圖次 vii
表次 viii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究問題與目的 6
第三節 研究範圍與對象 13
第四節 章節安排 15
第二章 文獻探討 17
第一節 SaaS POS及其適用餐飲經營模式 17
第二節 COVID-19影響餐飲業數位化策略 19
第三節 RDT檢視數位工具與外部環境、促銷策略之依賴關係 21
第四節 RDT檢視主要變項、調節變項及控制變項之文獻分析 26
第五節 小結 32
第三章 研究架構與假設 34
第一節 研究架構 34
第二節 研究推論 37
第四章 研究方法 44
第一節 研究樣本與資料來源 44
第二節 衡量工具與統計分析 47
第三節 研究變項與操作性定義 47
第五章 資料分析與結果 59
第一節 敘述性統計 59
第二節 皮爾森相關係數矩陣 62
第三節 OLS迴歸模型分析 64
第四節 調節效果分析 72
第五節 穩健性分析 77
第六章 結論與建議 78
第一節 研究結果 78
第二節 研究限制 83
第三節 研究建議 84
參考文獻 87
-
dc.language.isozh_TW-
dc.subject資源依賴理論(RDT)zh_TW
dc.subjectCOVID-19zh_TW
dc.subject平台經濟zh_TW
dc.subject外部平台依賴zh_TW
dc.subject軟體即服務型銷售點系統(SaaS POS)zh_TW
dc.subjectSaaS POSen
dc.subjectExternal Platform Dependencyen
dc.subjectPlatform economyen
dc.subjectResource Dependence Theory (RDT)en
dc.subjectCOVID-19en
dc.titleCOVID-19 疫情衝擊下的數位餐飲管理:基於資源依賴理論之SaaS POS 系統依賴性與績效分析zh_TW
dc.titleDigital Restaurant Management in the Wake of COVID- 19: Analyzing Platform Dependence, SaaS POS Adoption, and Performance from the Perspective of Resource Dependence Theoryen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree博士-
dc.contributor.oralexamcommittee連勇智;許耀文;何筱文;林谷合zh_TW
dc.contributor.oralexamcommitteeYung-Chih Lien;Yao-Wen Hsu;Hsiao-Wen Ho;Ku-Ho linen
dc.subject.keywordCOVID-19,資源依賴理論(RDT),軟體即服務型銷售點系統(SaaS POS),外部平台依賴,平台經濟,zh_TW
dc.subject.keywordCOVID-19,Resource Dependence Theory (RDT),SaaS POS,External Platform Dependency,,Platform economy,en
dc.relation.page96-
dc.identifier.doi10.6342/NTU202504124-
dc.rights.note未授權-
dc.date.accepted2025-08-14-
dc.contributor.author-college管理學院-
dc.contributor.author-dept國際企業學系-
dc.date.embargo-liftN/A-
顯示於系所單位:國際企業學系

文件中的檔案:
檔案 大小格式 
ntu-113-2.pdf
  未授權公開取用
2.66 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved