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題名 瓦斯行產業數位轉型電子準備度之研究: 以智慧瓦斯平台為核心之案例探討
The Study of Digital Transformation Maturity in the Gas Industry: A Case Study Centered on Smart Gas Platform作者 徐綾襄
Ser, Ling Xiang貢獻者 洪為璽
Hung, Wei-Hsi
徐綾襄
Ser, Ling Xiang關鍵詞 瓦斯行產業
智慧瓦斯平台
數位轉型
電子準備度
質性研究
Gas industry
Smart gas platform
Digital transformation
E-readiness
Qualitative research日期 2025 上傳時間 1-Sep-2025 15:03:01 (UTC+8) 摘要 本研究旨在探討智慧瓦斯平台的發展及其對瓦斯行業的影響,聚焦於瓦斯行產業使用智慧瓦斯平台進行數位轉型之情況。主要目的為評估瓦斯行業的電子準備度(e-readiness),探討業者採納新技術的準備狀態。此外,本研究分析平台管理者與瓦斯行產業業者之間的成本與利益關係,在導入過程中成本如何分配,識別並平衡利益相關者的需求和期望,以協助智慧瓦斯平台的推行發展。 研究方法採用質性研究,透過個案研究法和次級資料分析,進行深度訪談和資料蒐集,了解智慧瓦斯平台的運作模式、技術應用及其對行業的影響。本研究以半結構式訪談為主,主要訪談對象為兩家智慧瓦斯平台及兩家傳統瓦斯行業者,包含平台工程師及高階主管。訪談大綱參考Molla與Licker(2005)提出的電子準備度模型(PERM),蒐集資料包含大約80篇文獻研究、多家新聞媒體報導、政府官方活動宣導、學者專家意見等。研究流程涵蓋文獻探討、資料使用演繹式內容分析法及結論歸納,輔以直接觀察、文件檔案等次級資料,確保分析的全面性。 數位轉型不僅僅是技術的應用,更是一場涉及組織、產品和流程作業的全面變革。通過數位技術,企業可以提升經營績效,擴展影響力,並應對快速變化的市場需求。傳統瓦斯行業通過智慧瓦斯平台的應用,可以有效地整合資源、使用數位技術解決這些問題。平台透過即時監控管理瓦斯桶,提高運營效率和安全性,並通過數據分析預測需求,優化資源配置。此外,智慧瓦斯平台還能幫助瓦斯行業降低運營成本,提升競爭力,推動產業的數位轉型和可持續發展。 研究結論顯示,瓦斯行產業雖已建立一定程度的數位知覺,但從訪談結果得知瓦斯行屬於被動轉型狀態。管理者理解趨勢但缺乏內化為策略的動力,受限於風險保守、成本壓力及外部環境。針對成本分擔,七種情境分析顯示,三方協同分擔最具潛力,需搭配政策補助與教育推廣。智慧瓦斯平台代表了瓦斯行業數位轉型的重要方向,其技術應用不僅提升了配送效率和安全性,還改善了用戶體驗。然而,技術成本、系統複雜性和用戶接受度仍是推廣的主要挑戰。未來,需要進一步平衡技術發展與成本效益,並加強用戶教育和培訓,促進智慧瓦斯平台的廣泛應用和推廣。
This study aims to explore the development of smart gas platforms and their impact on the gas distribution industry, focusing on the digital transformation of gas companies through the adoption of such platforms. The primary objective is to assess the e-readiness of the gas industry, examining the preparedness of companies to adopt new technologies. Additionally, the study analyzes the cost-benefit relationships between platform managers and gas industry stakeholders, exploring how costs are allocated during implementation, identifying and balancing the needs and expectations of stakeholders to facilitate the development and adoption of smart gas platforms. The research employs a qualitative approach, utilizing case studies and secondary data analysis, conducting in-depth interviews and data collection to understand the operational models, technical applications, and industry impacts of smart gas platforms. Semi-structured interviews were conducted with key stakeholders from two smart gas platforms and two traditional gas companies, including platform engineers and senior executives. The interview framework was based on the Perceived e-Readiness Model (PERM) proposed by Molla and Licker (2005). Data collection included approximately 80 academic studies, news media reports, government promotional activities, and expert opinions. The research process involved literature review, deductive content analysis, and conclusion synthesis, supplemented by direct observations and archival documents to ensure comprehensive analysis. Digital transformation is not merely the application of technology but a holistic change involving organization, products, and operational processes. Through digital technologies, businesses can enhance operational performance, expand influence, and address rapidly changing market demands. By adopting smart gas platforms, the traditional gas industry can effectively integrate resources and leverage digital technologies to address challenges. These platforms enable real-time monitoring of gas cylinders, improving operational efficiency and safety, while data analytics facilitate demand forecasting and resource optimization. Moreover, smart gas platforms help reduce operational costs, enhance competitiveness, and promote digital transformation and sustainable development in the industry. The study concludes that while the gas industry has developed a certain level of digital awareness, interview results indicate a passive transformation stance. Managers understand trends but lack the motivation to internalize them into strategies, constrained by risk aversion, cost pressures, and external environments. Regarding cost allocation, analysis of seven scenarios suggests that tripartite cost-sharing holds the most potential, requiring support from policy subsidies and educational promotion. Smart gas platforms represent a critical direction for the industry’s digital transformation, enhancing delivery efficiency, safety, and user experience. However, technical costs, system complexity, and user acceptance remain key challenges for adoption. In the future, balancing technological development with cost-effectiveness and strengthening user education and training will be essential to promote the widespread adoption and implementation of smart gas platforms.參考文獻 林韋葳 (2019)。CRM 系統對客戶滿意度的影響。資訊管理學報, 25(3), 123–140。 侯昌佑 (2014)。台北智慧城市發展。台北市政府。 彭思遠 (2019)。數位工具在企業競爭力提升中的應用。管理學報, 36(2), 45–60。 解鴻年 (2014)。數位治理與智慧城市:台北市的實務經驗。公共行政學報, 50, 1–25。 Acs, Z. J., Song, A. K., Szerb, L., Audretsch, D. B., & Komlósi, É. (2021). The evolution of the global digital platform economy: 1971–2021. Small Business Economics, 57(4), 1629–1659. https://doi.org/10.1007/s11187-021-00561-x Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376. https://doi.org/10.1109/COMST.2015.2444095 Aloisi, A., & De Stefano, V. (2020). Regulation and the future of work: The employment relationship as an innovation facilitator. International Labour Review, 159(1), 47–69. https://doi.org/10.1111/ilr.12160 AlMulhim, A. F. (2021). Smart supply chain and firm performance: The role of digital technologies. Business Process Management Journal, 27(5), 1353–1372. https://doi.org/10.1108/BPMJ-12-2020-0573 APEC. (2000). E-Commerce Maturity Model. Asia-Pacific Economic Cooperation. Anthopoulos, L. G. (2017). Understanding smart cities: A tool for smart government or an industrial trick? Springer. https://doi.org/10.1007/978-3-319-57015-0 Attaran, M., Attaran, S., & Celik, B. G. (2023). The impact of smart technology on supply chain and logistics management. Journal of Supply Chain Management, 59(1), 47–60. https://doi.org/10.1111/jscm.12285 Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1041. Bi, Z., Wang, L., & Li, X. (2022). Cloud mining mode for digital transformation in traditional mining industry. Computers & Industrial Engineering, 165, Article 107942. https://doi.org/10.1016/j.cie.2022.107942 Bloomberg, J. (2018). Digitization, digitalization, and digital transformation: Confuse them at your peril. Forbes. https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/ Brito, J., Moreno, J. A., & Verdegay, J. L. (2012). Fuzzy optimization for distribution of frozen food with imprecise times. Fuzzy Sets and Systems, 202, 65–82. https://doi.org/10.1016/j.fss.2012.01.014 Carlsson, B. (2004). The digital economy: What is new and what is not? Structural Change and Economic Dynamics, 15(3), 245–264. Castro Benavides, L. M., Tamayo Arias, J. A., Arango Serna, M. D., Branch Bedoya, J. W., & Burgos, D. (2022). Digital transformation in enterprises: A systematic review. Procedia Computer Science, 204, 480–487. Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting the adoption of electronic commerce for small and medium-sized enterprises in China. Information Development, 31(1), 53–65. Chen, X., Li, Y., & Wang, Z. (2024). Managerial risk aversion and digital transformation: The role of incentives. Journal of Business Research, 170, 114-130. https://doi.org/10.1016/j.jbusres.2023.114130 Chen, Y., & Tian, Y. (2022). Flexible resource allocation in uncertain market environments. European Journal of Operational Research, 296(1), 218–231. Chwiłkowska-Kubala, A., Cyfert, S., Malewska, K., Mierzejewska, K., & Szumowski, W. (2023). The impact of resources on digital transformation in energy sector companies. The role of readiness for digital transformation. Technology in Society, 74, 102315. https://doi.org/10.1016/j.techsoc.2023.102315 Clifford, G. D., Clifton, D. A., & Tarassenko, L. (2018). Signal processing for the Internet of Things. IEEE Signal Processing Magazine, 35(1), 6–8. https://doi.org/10.1109/MSP.2017.2768578 Corchado, J. M., Chamoso, P., & Hernández, G. (2021). Deepint.net: A rapid deployment platform for smart territories. Sensors, 21(7), Article 2365. https://doi.org/10.3390/s21072365 Daniel, E., Wilson, H., & Myers, A. (2002). Adoption of e-commerce by SMEs in the UK: Towards a stage model. International Small Business Journal, 20(3), 253–270. 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 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. Dekkati, S., Thaduri, U. R., & Lal, K. (2016). Business value of digitization: Curse or blessing. Global Disclosure of Economics and Business, 5(2), 133–138. Dohale, V., Akhtar, P., Verma, P., & Ambilkar, P. (2023). Supply chain risk mitigation strategies during COVID-19: Exploratory cases of make-to-order handloom saree apparel industries. International Journal of Physical Distribution & Logistics Management, 51(9), 1099–1126. https://doi.org/10.1108/IJPDLM-12-2020-0444 Dutta, S., Lanvin, B., & Paua, F. (Eds.). (2004). The global information technology report 2003-2004: Towards an equitable information society. World Economic Forum. Economist Intelligence Unit (EIU). (2009). E-readiness rankings. Economist Intelligence Unit Limited. Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. Epstein, M. J., & Buhovac, A. R. (2014). Making sustainability work: Best practices in managing and measuring corporate social, environmental, and economic impacts (2nd ed.). Berrett-Koehler Publishers. Eurostat. (2006). Science, technology and innovation in Europe. European Communities. Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing digital technology. MIT Sloan Management Review, 55(2), 1–13. Flanagin, A. J. (2000). Social pressures on organizational website adoption. Human Communication Research, 26(4), 618–646. Gartner. (2020). Gartner top 10 strategic technology trends for 2020. Gartner. Gavrilović, N., & Mishra, A. (2021). Software architecture of the Internet of Things (IoT) for smart city, healthcare and agriculture: Analysis and improvement directions. Journal of Ambient Intelligence and Smart Environments, 13(2), 145–168. https://doi.org/10.3233/AIS-210594 Gong, C., & Ribiere, V. (2021). Developing a unified definition of digital transformation. Technovation, 102, 102217. Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information & Management, 42(1), 197–216. Gyamfi, B. A. (2024). Digital transformation in agriculture: A review. Sustainability, 16(5), Article 2089. https://doi.org/10.3390/su16052089 Haghighi, M., Divandari, A., & Keimasi, M. (2010). The impact of 3D e-readiness on e-banking development in Iran: A fuzzy AHP analysis. Expert Systems with Applications, 37(6), 4084–4093. https://doi.org/10.1016/j.eswa.2009.11.074 Hanga, K. M., & Kovalchuk, Y. (2019). Machine learning and multi-agent systems in oil and gas industry applications: A survey. Computer Science Review, 34, Article 100191. https://doi.org/10.1016/j.cosrev.2019.08.002 Harris, S., & Lyne, P. (2008). The use of cluster analysis for the segmentation of industrial markets: A new test. In Proceedings of the Academy of Marketing Conference. Hartl, E., & Hess, T. (2017). The role of cultural values for digital transformation: Insights from a Delphi study. Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), 1–10. https://aisel.aisnet.org/amcis2017/Global/Presentations/8/ Hartl, E., & Hess, T. (2019). Digital transformation strategies. Business & Information Systems Engineering, 61(2), 229–239. Ilin, I., Levina, A., & Iliashenko, O. (2019). Enterprise architecture modeling in energy sector: A literature review. Energy Systems Research, 2(1), 1–13. Ifinedo, P. (2011). An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada. Electronic Commerce Research, 11(2), 125–150. Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557. Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N., & Ahlemann, F. (2017). Digitalization: Opportunity and challenge for the business and information systems engineering community. Business & Information Systems Engineering, 59(4), 301–308. https://doi.org/10.1007/s12599-017-0484-2 Li, L., Su, F., Zhang, W., & Mao, J.-Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153 Lu, H., & Shaharudin, M. S. (2024). Role of digital transformation for sustainable competitive advantage of SMEs: A systematic literature review. Cogent Business & Management, 11(1), 2419489. https://doi.org/10.1080/23311975.2024.2419489 Maroufkhani, P., Tseng, M.-L., Iranmanesh, M., Ismail, W. K. W., & Khalid, H. (2022). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. International Journal of Information Management, 54, Article 102190. https://doi.org/10.1016/j.ijinfomgt.2020.102190 Maswera, T., Dawson, R., & Edwards, J. (2008). E-commerce adoption of travel and tourism organisations in South Africa, Kenya, and Uganda. African Journal of Information Systems, 1(2), 20–36. Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57(5), 339–343. McConnell International. (2000). Risk e-business: Seizing the opportunity. McConnell International. Medeiros, A., Hoppen, N., & Maçada, A. C. G. (2017). Smart technologies and their impact on cities. Cities, 61, 130–139. Mehrtens, J., Cragg, P. B., & Mills, A. M. (2001). A model of Internet adoption by SMEs. Information & Management, 39(3), 165–176. https://doi.org/10.1016/S0378-7206(01)00086-6 Mohaghegh, S. D. (2005). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology, 57(4), 86–91. https://doi.org/10.2118/89033-MS Molla, A., & Licker, P. S. (2005). Perceived e-readiness factors in e-commerce adoption. Journal of Electronic Commerce Research, 6(2), 76–87. Mrazovic, P., Larriba-Pey, J. L., & Matskin, M. (2018). Multi-vehicle route planning for efficient urban freight transport. Proceedings of the 9th International Conference on Intelligent Systems, 744–753. Mutula, S. M., & Van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access. International Journal of Information Management, 26(3), 212–223. Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2019). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03 Nam, T., & Pardo, T. A. (2011). Conceptualizing smart city with dimensions of technology, people, and institutions. Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, 282–291. https://doi.org/10.1145/2037556.2037602 Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267. https://doi.org/10.1016/j.compedu.2004.11.018 Ni, Q., Yu, C., & Zheng, Q. (2021). Application of Internet of Things in gas monitoring and leak detection. Sensors, 21(7), 2541. Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. Pellicer, S., Santa, G., & Bleda, A. L. (2013). Smart cities: An overview. Procedia Computer Science, 24, 1–7. Piccinini, E., Hanelt, A., Gregory, R., & Kolbe, L. M. (2015). Transforming industrial business: The impact of digital transformation on automotive organizations. Proceedings of the 36th International Conference on Information Systems, 1–20. https://aisel.aisnet.org/icis2015/proceedings/GeneralIS/13/ Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. Free Press. Raj, M., Gupta, S., Chamola, V., Elhence, A., Garg, T., Atiquzzaman, M., & Niyato, D. (2020). A survey on the role of Internet of Things for effective cardiovascular disease diagnosis and treatment. Computers in Biology and Medicine, 116, Article 103407. https://doi.org/10.1016/j.compbiomed.2020.103407 Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. (2003). Understanding IT adoption decisions in small business: Integrating current theories. Information & Management, 40(4), 269–285. https://doi.org/10.1016/S0378-7206(02)00010-1 Robertson, J., & Smith, H. (2019). Sociocultural theory and translanguaging-to-learn: Proposed conceptual integration. Language and Sociocultural Theory, 6(2), 132–151. https://doi.org/10.1558/lst.18500 Rogers, E. M. (1995). Diffusion of innovations (4th ed.). The Free Press. Ruikar, K., Anumba, C. J., & Carrillo, P. M. (2006). VERDICT—An e-readiness assessment application for construction companies. Automation in Construction, 15(1), 98–110. https://doi.org/10.1016/j.autcon.2005.07.009 Sabherwal, R., & Chan, Y. E. (2001). Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Information Systems Research, 12(1), 11–33. https://doi.org/10.1287/isre.12.1.11.9714 Schmarzo, W. (2017). Big data MBA: Driving business strategies with data science. Wiley. Solis, B. (2017). The race against digital Darwinism: Six stages of digital transformation. Altimeter Group. https://www.prophet.com/altimeter/the-race-against-digital-darwinism-six-stages-of-digital-transformation/ Stolterman, E., & Fors, A. C. (2004). Information technology and the good life. In Information Systems Research (pp. 687–692). Springer. https://doi.org/10.1007/978-0-387-24590-4_40 Tan, J., Tyler, K., & Manica, A. (2007). Business-to-business adoption of eCommerce in China. Information & Management, 44(3), 332–351. https://doi.org/10.1016/j.im.2007.04.001 Tapscott, D. (2009). Grown up digital: How the net generation is changing your world. McGraw-Hill. Thong, J. Y. L. (2001). Resource constraints and information systems implementation in Singaporean small businesses. Omega, 29(2), 143–156. Van Veldhoven, Z., & Vanthienen, J. (2019). Digital transformation as an interaction- driven perspective. Procedia Computer Science, 151, 560–567. Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022 Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003 Von Tunzelmann, N., & Acha, V. (2006). Innovation in “low-tech” industries. In The Oxford handbook of innovation (pp. 407–432). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199286805.003.0016 Waliany, T., Varia, S., & Kalanick, T. (2018). Optimizing delivery efficiency with machine learning at Uber Eats. Uber Engineering Blog. https://eng.uber.com/optimizing-delivery-efficiency/ Wang, K. C. P., Xiao, D., & Xu, G. (Eds.). (2008). Traffic and transportation studies 2008: Proceedings of the sixth international conference on traffic and transportation studies. American Society of Civil Engineers. https://doi.org/10.1061/9780784409954 Wang, S., Carmeline, A., Kolko, B., & Munson, S. (2024). Understanding the role of technology in older adults' changing social networks in the COVID-19 era and beyond. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), Article 234. https://doi.org/10.1145/3641027 Wirtz, B. W. (2021). Digital business and electronic commerce: Strategy, business models and technology. Springer. https://doi.org/10.1007/978-3-030-63482-7 Wirtz, J., & Lovelock, C. (2021). Services marketing: People, technology, strategy. World Scientific. World Economic Forum (WEF). (2016). Digital transformation of industries. World Economic Forum. Young, K. S., & Rogers, R. C. (2019). Internet addiction: Emerging treatment strategies. In Handbook of Addictive Disorders (pp. 396–415). Routledge. Zhu, K., Kraemer, K. L., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science, 52(10), 1557–1576. https://doi.org/10.1287/mnsc.1060.0607 描述 碩士
國立政治大學
資訊管理學系
111356054資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111356054 資料類型 thesis dc.contributor.advisor 洪為璽 zh_TW dc.contributor.advisor Hung, Wei-Hsi en_US dc.contributor.author (Authors) 徐綾襄 zh_TW dc.contributor.author (Authors) Ser, Ling Xiang en_US dc.creator (作者) 徐綾襄 zh_TW dc.creator (作者) Ser, Ling Xiang en_US dc.date (日期) 2025 en_US dc.date.accessioned 1-Sep-2025 15:03:01 (UTC+8) - dc.date.available 1-Sep-2025 15:03:01 (UTC+8) - dc.date.issued (上傳時間) 1-Sep-2025 15:03:01 (UTC+8) - dc.identifier (Other Identifiers) G0111356054 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/159086 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 111356054 zh_TW dc.description.abstract (摘要) 本研究旨在探討智慧瓦斯平台的發展及其對瓦斯行業的影響,聚焦於瓦斯行產業使用智慧瓦斯平台進行數位轉型之情況。主要目的為評估瓦斯行業的電子準備度(e-readiness),探討業者採納新技術的準備狀態。此外,本研究分析平台管理者與瓦斯行產業業者之間的成本與利益關係,在導入過程中成本如何分配,識別並平衡利益相關者的需求和期望,以協助智慧瓦斯平台的推行發展。 研究方法採用質性研究,透過個案研究法和次級資料分析,進行深度訪談和資料蒐集,了解智慧瓦斯平台的運作模式、技術應用及其對行業的影響。本研究以半結構式訪談為主,主要訪談對象為兩家智慧瓦斯平台及兩家傳統瓦斯行業者,包含平台工程師及高階主管。訪談大綱參考Molla與Licker(2005)提出的電子準備度模型(PERM),蒐集資料包含大約80篇文獻研究、多家新聞媒體報導、政府官方活動宣導、學者專家意見等。研究流程涵蓋文獻探討、資料使用演繹式內容分析法及結論歸納,輔以直接觀察、文件檔案等次級資料,確保分析的全面性。 數位轉型不僅僅是技術的應用,更是一場涉及組織、產品和流程作業的全面變革。通過數位技術,企業可以提升經營績效,擴展影響力,並應對快速變化的市場需求。傳統瓦斯行業通過智慧瓦斯平台的應用,可以有效地整合資源、使用數位技術解決這些問題。平台透過即時監控管理瓦斯桶,提高運營效率和安全性,並通過數據分析預測需求,優化資源配置。此外,智慧瓦斯平台還能幫助瓦斯行業降低運營成本,提升競爭力,推動產業的數位轉型和可持續發展。 研究結論顯示,瓦斯行產業雖已建立一定程度的數位知覺,但從訪談結果得知瓦斯行屬於被動轉型狀態。管理者理解趨勢但缺乏內化為策略的動力,受限於風險保守、成本壓力及外部環境。針對成本分擔,七種情境分析顯示,三方協同分擔最具潛力,需搭配政策補助與教育推廣。智慧瓦斯平台代表了瓦斯行業數位轉型的重要方向,其技術應用不僅提升了配送效率和安全性,還改善了用戶體驗。然而,技術成本、系統複雜性和用戶接受度仍是推廣的主要挑戰。未來,需要進一步平衡技術發展與成本效益,並加強用戶教育和培訓,促進智慧瓦斯平台的廣泛應用和推廣。 zh_TW dc.description.abstract (摘要) This study aims to explore the development of smart gas platforms and their impact on the gas distribution industry, focusing on the digital transformation of gas companies through the adoption of such platforms. The primary objective is to assess the e-readiness of the gas industry, examining the preparedness of companies to adopt new technologies. Additionally, the study analyzes the cost-benefit relationships between platform managers and gas industry stakeholders, exploring how costs are allocated during implementation, identifying and balancing the needs and expectations of stakeholders to facilitate the development and adoption of smart gas platforms. The research employs a qualitative approach, utilizing case studies and secondary data analysis, conducting in-depth interviews and data collection to understand the operational models, technical applications, and industry impacts of smart gas platforms. Semi-structured interviews were conducted with key stakeholders from two smart gas platforms and two traditional gas companies, including platform engineers and senior executives. The interview framework was based on the Perceived e-Readiness Model (PERM) proposed by Molla and Licker (2005). Data collection included approximately 80 academic studies, news media reports, government promotional activities, and expert opinions. The research process involved literature review, deductive content analysis, and conclusion synthesis, supplemented by direct observations and archival documents to ensure comprehensive analysis. Digital transformation is not merely the application of technology but a holistic change involving organization, products, and operational processes. Through digital technologies, businesses can enhance operational performance, expand influence, and address rapidly changing market demands. By adopting smart gas platforms, the traditional gas industry can effectively integrate resources and leverage digital technologies to address challenges. These platforms enable real-time monitoring of gas cylinders, improving operational efficiency and safety, while data analytics facilitate demand forecasting and resource optimization. Moreover, smart gas platforms help reduce operational costs, enhance competitiveness, and promote digital transformation and sustainable development in the industry. The study concludes that while the gas industry has developed a certain level of digital awareness, interview results indicate a passive transformation stance. Managers understand trends but lack the motivation to internalize them into strategies, constrained by risk aversion, cost pressures, and external environments. Regarding cost allocation, analysis of seven scenarios suggests that tripartite cost-sharing holds the most potential, requiring support from policy subsidies and educational promotion. Smart gas platforms represent a critical direction for the industry’s digital transformation, enhancing delivery efficiency, safety, and user experience. However, technical costs, system complexity, and user acceptance remain key challenges for adoption. In the future, balancing technological development with cost-effectiveness and strengthening user education and training will be essential to promote the widespread adoption and implementation of smart gas platforms. en_US dc.description.tableofcontents 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的與問題 3 第二章 文獻探討 4 第一節 數位轉型 4 第二節 智慧瓦斯平台 9 第三節 電子準備度 14 第三章 研究方法 32 第一節 研究概念 32 第二節 研究設計 36 第四章 訪談結果 41 第一節 A個案 41 第二節 B個案 45 第三節 C個案 49 第四節 D個案 53 第五節 瓦斯行轉型因素 56 第五章 結果分析 60 第六章 結論 71 參考文獻 76 zh_TW dc.format.extent 2043101 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111356054 en_US dc.subject (關鍵詞) 瓦斯行產業 zh_TW dc.subject (關鍵詞) 智慧瓦斯平台 zh_TW dc.subject (關鍵詞) 數位轉型 zh_TW dc.subject (關鍵詞) 電子準備度 zh_TW dc.subject (關鍵詞) 質性研究 zh_TW dc.subject (關鍵詞) Gas industry en_US dc.subject (關鍵詞) Smart gas platform en_US dc.subject (關鍵詞) Digital transformation en_US dc.subject (關鍵詞) E-readiness en_US dc.subject (關鍵詞) Qualitative research en_US dc.title (題名) 瓦斯行產業數位轉型電子準備度之研究: 以智慧瓦斯平台為核心之案例探討 zh_TW dc.title (題名) The Study of Digital Transformation Maturity in the Gas Industry: A Case Study Centered on Smart Gas Platform en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 林韋葳 (2019)。CRM 系統對客戶滿意度的影響。資訊管理學報, 25(3), 123–140。 侯昌佑 (2014)。台北智慧城市發展。台北市政府。 彭思遠 (2019)。數位工具在企業競爭力提升中的應用。管理學報, 36(2), 45–60。 解鴻年 (2014)。數位治理與智慧城市:台北市的實務經驗。公共行政學報, 50, 1–25。 Acs, Z. J., Song, A. K., Szerb, L., Audretsch, D. B., & Komlósi, É. (2021). The evolution of the global digital platform economy: 1971–2021. Small Business Economics, 57(4), 1629–1659. https://doi.org/10.1007/s11187-021-00561-x Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376. https://doi.org/10.1109/COMST.2015.2444095 Aloisi, A., & De Stefano, V. (2020). Regulation and the future of work: The employment relationship as an innovation facilitator. International Labour Review, 159(1), 47–69. https://doi.org/10.1111/ilr.12160 AlMulhim, A. F. (2021). Smart supply chain and firm performance: The role of digital technologies. Business Process Management Journal, 27(5), 1353–1372. https://doi.org/10.1108/BPMJ-12-2020-0573 APEC. (2000). E-Commerce Maturity Model. Asia-Pacific Economic Cooperation. Anthopoulos, L. G. (2017). Understanding smart cities: A tool for smart government or an industrial trick? Springer. https://doi.org/10.1007/978-3-319-57015-0 Attaran, M., Attaran, S., & Celik, B. G. (2023). The impact of smart technology on supply chain and logistics management. Journal of Supply Chain Management, 59(1), 47–60. https://doi.org/10.1111/jscm.12285 Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1041. Bi, Z., Wang, L., & Li, X. (2022). Cloud mining mode for digital transformation in traditional mining industry. Computers & Industrial Engineering, 165, Article 107942. https://doi.org/10.1016/j.cie.2022.107942 Bloomberg, J. (2018). Digitization, digitalization, and digital transformation: Confuse them at your peril. Forbes. https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/ Brito, J., Moreno, J. A., & Verdegay, J. L. (2012). Fuzzy optimization for distribution of frozen food with imprecise times. Fuzzy Sets and Systems, 202, 65–82. https://doi.org/10.1016/j.fss.2012.01.014 Carlsson, B. (2004). The digital economy: What is new and what is not? Structural Change and Economic Dynamics, 15(3), 245–264. Castro Benavides, L. M., Tamayo Arias, J. A., Arango Serna, M. D., Branch Bedoya, J. W., & Burgos, D. (2022). Digital transformation in enterprises: A systematic review. Procedia Computer Science, 204, 480–487. Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting the adoption of electronic commerce for small and medium-sized enterprises in China. Information Development, 31(1), 53–65. Chen, X., Li, Y., & Wang, Z. (2024). Managerial risk aversion and digital transformation: The role of incentives. Journal of Business Research, 170, 114-130. https://doi.org/10.1016/j.jbusres.2023.114130 Chen, Y., & Tian, Y. (2022). Flexible resource allocation in uncertain market environments. European Journal of Operational Research, 296(1), 218–231. Chwiłkowska-Kubala, A., Cyfert, S., Malewska, K., Mierzejewska, K., & Szumowski, W. (2023). The impact of resources on digital transformation in energy sector companies. The role of readiness for digital transformation. Technology in Society, 74, 102315. https://doi.org/10.1016/j.techsoc.2023.102315 Clifford, G. D., Clifton, D. A., & Tarassenko, L. (2018). Signal processing for the Internet of Things. IEEE Signal Processing Magazine, 35(1), 6–8. https://doi.org/10.1109/MSP.2017.2768578 Corchado, J. M., Chamoso, P., & Hernández, G. (2021). Deepint.net: A rapid deployment platform for smart territories. Sensors, 21(7), Article 2365. https://doi.org/10.3390/s21072365 Daniel, E., Wilson, H., & Myers, A. (2002). Adoption of e-commerce by SMEs in the UK: Towards a stage model. International Small Business Journal, 20(3), 253–270. 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 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. Dekkati, S., Thaduri, U. R., & Lal, K. (2016). Business value of digitization: Curse or blessing. Global Disclosure of Economics and Business, 5(2), 133–138. Dohale, V., Akhtar, P., Verma, P., & Ambilkar, P. (2023). Supply chain risk mitigation strategies during COVID-19: Exploratory cases of make-to-order handloom saree apparel industries. International Journal of Physical Distribution & Logistics Management, 51(9), 1099–1126. https://doi.org/10.1108/IJPDLM-12-2020-0444 Dutta, S., Lanvin, B., & Paua, F. (Eds.). (2004). The global information technology report 2003-2004: Towards an equitable information society. World Economic Forum. Economist Intelligence Unit (EIU). (2009). E-readiness rankings. Economist Intelligence Unit Limited. Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. Epstein, M. J., & Buhovac, A. R. (2014). Making sustainability work: Best practices in managing and measuring corporate social, environmental, and economic impacts (2nd ed.). Berrett-Koehler Publishers. Eurostat. (2006). Science, technology and innovation in Europe. European Communities. Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing digital technology. MIT Sloan Management Review, 55(2), 1–13. Flanagin, A. J. (2000). Social pressures on organizational website adoption. Human Communication Research, 26(4), 618–646. Gartner. (2020). Gartner top 10 strategic technology trends for 2020. Gartner. Gavrilović, N., & Mishra, A. (2021). Software architecture of the Internet of Things (IoT) for smart city, healthcare and agriculture: Analysis and improvement directions. Journal of Ambient Intelligence and Smart Environments, 13(2), 145–168. https://doi.org/10.3233/AIS-210594 Gong, C., & Ribiere, V. (2021). Developing a unified definition of digital transformation. Technovation, 102, 102217. Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information & Management, 42(1), 197–216. Gyamfi, B. A. (2024). Digital transformation in agriculture: A review. Sustainability, 16(5), Article 2089. https://doi.org/10.3390/su16052089 Haghighi, M., Divandari, A., & Keimasi, M. (2010). The impact of 3D e-readiness on e-banking development in Iran: A fuzzy AHP analysis. Expert Systems with Applications, 37(6), 4084–4093. https://doi.org/10.1016/j.eswa.2009.11.074 Hanga, K. M., & Kovalchuk, Y. (2019). Machine learning and multi-agent systems in oil and gas industry applications: A survey. Computer Science Review, 34, Article 100191. https://doi.org/10.1016/j.cosrev.2019.08.002 Harris, S., & Lyne, P. (2008). The use of cluster analysis for the segmentation of industrial markets: A new test. In Proceedings of the Academy of Marketing Conference. Hartl, E., & Hess, T. (2017). The role of cultural values for digital transformation: Insights from a Delphi study. Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), 1–10. https://aisel.aisnet.org/amcis2017/Global/Presentations/8/ Hartl, E., & Hess, T. (2019). Digital transformation strategies. Business & Information Systems Engineering, 61(2), 229–239. Ilin, I., Levina, A., & Iliashenko, O. (2019). Enterprise architecture modeling in energy sector: A literature review. Energy Systems Research, 2(1), 1–13. Ifinedo, P. (2011). An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada. Electronic Commerce Research, 11(2), 125–150. Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557. Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N., & Ahlemann, F. (2017). Digitalization: Opportunity and challenge for the business and information systems engineering community. Business & Information Systems Engineering, 59(4), 301–308. https://doi.org/10.1007/s12599-017-0484-2 Li, L., Su, F., Zhang, W., & Mao, J.-Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153 Lu, H., & Shaharudin, M. S. (2024). Role of digital transformation for sustainable competitive advantage of SMEs: A systematic literature review. Cogent Business & Management, 11(1), 2419489. https://doi.org/10.1080/23311975.2024.2419489 Maroufkhani, P., Tseng, M.-L., Iranmanesh, M., Ismail, W. K. W., & Khalid, H. (2022). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. International Journal of Information Management, 54, Article 102190. https://doi.org/10.1016/j.ijinfomgt.2020.102190 Maswera, T., Dawson, R., & Edwards, J. (2008). E-commerce adoption of travel and tourism organisations in South Africa, Kenya, and Uganda. African Journal of Information Systems, 1(2), 20–36. Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57(5), 339–343. McConnell International. (2000). Risk e-business: Seizing the opportunity. McConnell International. Medeiros, A., Hoppen, N., & Maçada, A. C. G. (2017). Smart technologies and their impact on cities. Cities, 61, 130–139. Mehrtens, J., Cragg, P. B., & Mills, A. M. (2001). A model of Internet adoption by SMEs. Information & Management, 39(3), 165–176. https://doi.org/10.1016/S0378-7206(01)00086-6 Mohaghegh, S. D. (2005). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology, 57(4), 86–91. https://doi.org/10.2118/89033-MS Molla, A., & Licker, P. S. (2005). Perceived e-readiness factors in e-commerce adoption. Journal of Electronic Commerce Research, 6(2), 76–87. Mrazovic, P., Larriba-Pey, J. L., & Matskin, M. (2018). Multi-vehicle route planning for efficient urban freight transport. Proceedings of the 9th International Conference on Intelligent Systems, 744–753. Mutula, S. M., & Van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access. International Journal of Information Management, 26(3), 212–223. Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2019). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03 Nam, T., & Pardo, T. A. (2011). Conceptualizing smart city with dimensions of technology, people, and institutions. Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, 282–291. https://doi.org/10.1145/2037556.2037602 Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267. https://doi.org/10.1016/j.compedu.2004.11.018 Ni, Q., Yu, C., & Zheng, Q. (2021). Application of Internet of Things in gas monitoring and leak detection. Sensors, 21(7), 2541. Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625–632. Pellicer, S., Santa, G., & Bleda, A. L. (2013). Smart cities: An overview. Procedia Computer Science, 24, 1–7. Piccinini, E., Hanelt, A., Gregory, R., & Kolbe, L. M. (2015). Transforming industrial business: The impact of digital transformation on automotive organizations. Proceedings of the 36th International Conference on Information Systems, 1–20. https://aisel.aisnet.org/icis2015/proceedings/GeneralIS/13/ Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. Free Press. Raj, M., Gupta, S., Chamola, V., Elhence, A., Garg, T., Atiquzzaman, M., & Niyato, D. (2020). A survey on the role of Internet of Things for effective cardiovascular disease diagnosis and treatment. Computers in Biology and Medicine, 116, Article 103407. https://doi.org/10.1016/j.compbiomed.2020.103407 Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. (2003). Understanding IT adoption decisions in small business: Integrating current theories. Information & Management, 40(4), 269–285. https://doi.org/10.1016/S0378-7206(02)00010-1 Robertson, J., & Smith, H. (2019). Sociocultural theory and translanguaging-to-learn: Proposed conceptual integration. Language and Sociocultural Theory, 6(2), 132–151. https://doi.org/10.1558/lst.18500 Rogers, E. M. (1995). Diffusion of innovations (4th ed.). The Free Press. Ruikar, K., Anumba, C. J., & Carrillo, P. M. (2006). VERDICT—An e-readiness assessment application for construction companies. Automation in Construction, 15(1), 98–110. https://doi.org/10.1016/j.autcon.2005.07.009 Sabherwal, R., & Chan, Y. E. (2001). Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Information Systems Research, 12(1), 11–33. https://doi.org/10.1287/isre.12.1.11.9714 Schmarzo, W. (2017). Big data MBA: Driving business strategies with data science. Wiley. Solis, B. (2017). The race against digital Darwinism: Six stages of digital transformation. Altimeter Group. https://www.prophet.com/altimeter/the-race-against-digital-darwinism-six-stages-of-digital-transformation/ Stolterman, E., & Fors, A. C. (2004). Information technology and the good life. In Information Systems Research (pp. 687–692). Springer. https://doi.org/10.1007/978-0-387-24590-4_40 Tan, J., Tyler, K., & Manica, A. (2007). Business-to-business adoption of eCommerce in China. Information & Management, 44(3), 332–351. https://doi.org/10.1016/j.im.2007.04.001 Tapscott, D. (2009). Grown up digital: How the net generation is changing your world. McGraw-Hill. Thong, J. Y. L. (2001). Resource constraints and information systems implementation in Singaporean small businesses. Omega, 29(2), 143–156. Van Veldhoven, Z., & Vanthienen, J. (2019). Digital transformation as an interaction- driven perspective. Procedia Computer Science, 151, 560–567. Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022 Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003 Von Tunzelmann, N., & Acha, V. (2006). Innovation in “low-tech” industries. In The Oxford handbook of innovation (pp. 407–432). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199286805.003.0016 Waliany, T., Varia, S., & Kalanick, T. (2018). Optimizing delivery efficiency with machine learning at Uber Eats. Uber Engineering Blog. https://eng.uber.com/optimizing-delivery-efficiency/ Wang, K. C. P., Xiao, D., & Xu, G. (Eds.). (2008). Traffic and transportation studies 2008: Proceedings of the sixth international conference on traffic and transportation studies. American Society of Civil Engineers. https://doi.org/10.1061/9780784409954 Wang, S., Carmeline, A., Kolko, B., & Munson, S. (2024). Understanding the role of technology in older adults' changing social networks in the COVID-19 era and beyond. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), Article 234. https://doi.org/10.1145/3641027 Wirtz, B. W. (2021). Digital business and electronic commerce: Strategy, business models and technology. Springer. https://doi.org/10.1007/978-3-030-63482-7 Wirtz, J., & Lovelock, C. (2021). Services marketing: People, technology, strategy. World Scientific. World Economic Forum (WEF). (2016). Digital transformation of industries. World Economic Forum. Young, K. S., & Rogers, R. C. (2019). Internet addiction: Emerging treatment strategies. In Handbook of Addictive Disorders (pp. 396–415). Routledge. Zhu, K., Kraemer, K. L., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science, 52(10), 1557–1576. https://doi.org/10.1287/mnsc.1060.0607 zh_TW
