Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/133987
題名: 以資訊系統成功模式探討消費者使用線上串流影音平台之影響因素
A Study on the Consumer’s Intention to Use Online Video Streaming Platforms: The Information System Success Perspectives
作者: 古承煒
Ku, Cheng-Wei
貢獻者: 李易諭<br>廖森貴
古承煒
Ku, Cheng-Wei
關鍵詞: 資訊系統成功模型
使用者滿意度
線上影音串流平台
使用者行為
The information system success model
Users’ satisfaction
Online video streaming platform
Users’ behavior
日期: 2021
上傳時間: 1-Feb-2021
摘要: 2020年的新冠肺炎疫情造成全球許多經濟活動停擺、城市封鎖,嚴格的防疫規範造成經濟上相當大的損失外,也隨之改變人們生活的樣貌。大家被迫待在家的現象,也造就了宅經濟的成長,因此在大多產業都面臨衰退之際,線上相關應用產業卻逆勢成長。線上影音平台憑著獨特之產品特色,加上宅經濟之驅動,用戶數量與黏著度均大增。但在目前產業競爭逐漸上升之情況下,未來每個平台如何保持自身之成長動力,是每個平台經營者應該思考的。\n本研究參考以資訊系統成功模式之模型作為研究影響使用者使用線上影音串流平台之基礎。此外,本研究加入另一構面「原創內容重視程度」,為衡量使用者對於線上影音串流平台所提供之原創內容節目之重視程度,是否會影響其知覺價值、使用者滿意度及購買意願。本研究將透過此研究架構提出線上影音串流平台的使用者滿意度及購買意願的影響因素,藉以驗證此模式在線上影音串流平台之適用性。\n研究結果顯示,人口差異變數於部分構面中存在顯著差異。而各構面中,更新迅速、觀影品質及消費資料保護最為受到消費者之重視。於滿意度分析中,Netflix的滿意度均高於本研究個案之本土線上影音串流平台C公司。由結構方程式模型可得知,若要提高消費者之購買意願,必須先提升其知覺價值,而知覺價值以資訊品質此一構面影響最大。最後則提出五個管理建議給予線上影音串流平台業者。
The COVID-19 pandemic caused many activities to shut down and cities around the world to lock down in 2020. The regulation of epidemic prevention has resulted in considerable economic losses and changed the way people live. The phenomenon of people being forced to stay at home has also contributed to the growth of the stay-at-home economy, so while most industries are facing a recession, the online industry is growing. With the unique product features and the drive of the stay-at-home economy, the number of users of OTT platforms has increased greatly. However, under the high competition in the industry, how each platform can maintain its own growth momentum in the future is something that each platform should consider.\n\nThis thesis uses the information system success model as the basis for studying the influence of users` use of online video streaming platforms. In addition, this study adds another dimension, &quot;the importance of original content&quot;, to measure the importance of the original content provided by online video streaming platforms and how these would affect users’ perceived value, user satisfaction, and purchase intention. This study will propose the factors influencing user satisfaction and purchase intention of online video streaming platforms through this research.\n\nThe results of the study showed that demographic variables vary significantly across some dimensions. Among these dimensions, speed of updates, quality of viewing, and protection of consumer data are most valued by consumers. In the satisfaction analysis, Netflix is more satisfied than Company C, the local online video streaming platform in this study. From the structural equation model, we can see that in order to increase consumers` willingness to purchase, we should enhance their perceived value, and the perceived value is influenced by the information quality. Finally, we propose five managerial implications for online video streaming platform.
參考文獻: 中文文獻\n1. 吳明隆(2008)。結構方程式AMOS操作與應用(初版)。五南書局。\n2. 吳明隆(2008)。論文寫作與量化研究(初版)。五南書局。\n3. 李有仁、張書勳、林俊成(2011)。影音分享網站使用者意圖之研究。資訊管理學報,18(1),53-75。\n4. 林志杰(2020年6月1日)。不怕疫情衝擊,台灣本土OTT串流服務如何逆勢成長?。鳴人堂。 https://opinion.udn.com/opinion/story/10124/4605828\n5. 施雅庭(2020年7月27日)。疫正當中,你的「宅」指數有多高?-OTT產業的今昔與未來。FINDIT。https://findit.org.tw/researchPageV2.aspx?pageId=1461\n6. 范雅筑(2012)。行動服務品質量表建構(未出版之碩士論文)。國立政治大學。https://hdl.handle.net/11296/n32c4a\n7. 秦偉翔(2015)。線上影音平台發展趨勢與商機。資策會MIC AISP 情報顧問服務資料庫。\n8. 財團法人台灣經濟研究院(2019)。數位經濟下我國影音OTT收視聽衡量機制於商業運作模式之初探(案號:NCCT107012)。國家通訊傳播委員會。https://www.ncc.gov.tw/chinese/files/19042/4007_41355_190423_1.pdf\n9. 國家通訊傳播委員會(2020年8月27日)。109年第2季有線廣播電視訂戶數及各行政區裝設數位機上盒普及率。https://www.ncc.gov.tw/chinese/news_detail.aspx?site_content_sn=1979&cate=0&keyword=&is_history=0&pages=0&sn_f=44854\n10. 許士軍(1987)。管理學(第七版)。東華書局。\n11. 陳冠仰、陳柏元、戴有德、巫立宇(2016)。知覺品質、知覺價值與行為意圖關係 之研究-交易成本觀點。臺大管理論叢,27(1),191-224。\n12. 陳姿含、劉冠吟(2014)。行動裝置服務品質對顧客滿意度與品牌忠誠度之關聯研究-以虛擬商店為例。圖文傳播藝術學報,709-787。\n13. 凱度洞察台灣Kantar Insights Division /LifePoints(2020年3月)。台灣OTT市場隨選影視戰況分析(上篇)。http://www.tnsglobal.com.tw/News_detail.php?nid=61\n14. 凱度洞察台灣Kantar Insights Division /LifePoints(2020年3月)。台灣OTT市場隨選影視戰況分析(下篇)。http://www.tnsglobal.com.tw/News_detail.php?nid=64\n15. 楊雅婷(2018)。OTT 影音平台的使用者研究:以整合科技接受與資訊系統成功模式探討行為意圖與付費意願(未出版之碩士論文)。國立政治大學。https://hdl.handle.net/11296/gv2cza\n16. 資誠聯合會計師事務所PwC Taiwan(2020年9月7日)。2020全球與臺灣娛樂暨媒體業展望報告。 https://www.pwc.tw/zh/publications/topic-report/assets/taiwan-entertainment-and-media-outlook-2020-2024.pdf\n17. 管理知識中心(2020年6月8日):後疫情時代回不去的改變。OTT為什麼成為防疫新生活大贏家!?。能力雜誌2020年6月號。https://mymkc.com/article/content/23407\n\n英文文獻\n1. Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.\n2. Babakus, E., Bienstock, C. C. & Van Scotter, J. R. (2004). Linking perceived quality and customer satisfaction to store traffic and revenue growth. Decision Sciences, 35(4), 713-737.\n3. Barnes, S. J. & Vidgen, R. (2007). Interactive e-government: Evaluating the web site of the UK inland revenue. International Journal of Electronic Government Research, 3(1), 19-37.\n4. Bateson, J. E., & Hoffman, K. G. (2002). Essential of service marketing: Concepts, strategy, and cases. Harcourt, 19(4), 491-504.\n5. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 15 (3), 351-370.\n6. Bitner, M. J. (1990). Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of marketing, 54(2), 69-82.\n7. Bouranta, N., Chitiris, L., & Paravantis, J. (2009). The relationship between internal and external service quality. International Journal of Contemporary Hospitality Management, 21(3), 275-293.\n8. Bradley, G. L., & Sparks, B. A. (2012). Antecedents and consequences of consumer value: A longitudinal study of timeshare owners. Journal of Travel Research, 51(2), 191-204.\n9. Brady, M. K., & Cronin Jr, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of marketing, 65(3), 34-49.\n10. Carlsmith, J. M., & Aronson, E. (1963). Some hedonic consequences of the confirmation and disconfirmation of expectances. The Journal of Abnormal and Social Psychology, 66(2), 151.\n11. Cha, J. (2013a). Does genre type influence choice of video platform? A study of college student use of internet and television for specific video genres. Telematics and Informatics, 30(2), 189-200.\n12. Cha, J. (2013b). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296- 310.\n13. Cha, J. (2014). Usage of video sharing websites: Drivers and barriers. Telematics and Informatics, 31(1), 16-26.\n14. Chae, M., Kim, J., Kim, H., & Ryu, H. (2002). Information quality for mobile internet services: A theoretical model with empirical validation. Electronic markets, 12(1), 38-46.\n15. Chen, Z. & Dubinsky, A. J. (2003), A conceptual model of perceived customer value in e-commerce: A preliminary investigation, Psychology and Marketing, 20(4), 323-347.\n16. Chiou, J. S., Wu, L. Y., & Sung, Y. P. (2009). Buyer satisfaction and loyalty intention in online auction: Online auction website versus online auction seller. Journal of Service Management, 20(5), 521-543.\n17. Churchill Jr, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of marketing research, 19(4), 491-504.\n18. Cyert, R. M. & March, J. G. (1963). A behavioral theory of the firm. Prentice-Hall.\n19. Czepiel, J.A., & Rosenberg, L. J., (1974). Perspective on consumer satisfaction, AMA Conference Proceedings, 199-123.\n20. Day, R.L. (1977). Extending the concept of consumer satisfaction, Advances in Consumer Research, 4(1), 149-154.\n21. DeLone, W. H. & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.\n22. 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.\n23. Dodds, B. W., Monroe, K. B., & Grewal, D. (1991). Effects of price, bands and store information on buyers'Product Evaluation, Journal of Marketing Research, 28(3), 307-319.\n24. Engel, J. F., Blackwell, R. D. & Miniard, P. W. (1995). Consumer behavior (8th ed.), The Drydden.\n25. Festinger, L. (1957). A theory of cognitive dissonance, Stanford University Press.\n26. Flott, L. W. (2002). Customer satisfaction. Metal Finishing, 100(1), 58-63.\n27. Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6-21.\n28. Garvin, D. (1983). Quality on the line-reply. Harvard Business Review, 61(6), 240-240.\n29. Handy, C. R, & Pfaff, M. (1995). Consumer satisfaction with food product and marketing service, Journal of Business Research, 15(11), 49-61.\n30. Ho, C. I., & Lee, Y. L. (2007). The development of an e-travel service quality scale. Tourism management, 28(6), 1434-1449.\n31. Hovland, C. I., Harvey, O., & Sherif, M. (1957). Assimilation and contrast effects in reactions to communication and attitude change. The Journal of Abnormal and Social Psychology, 55(2), 244.\n32. Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior, John Wiley and Sons, Inc.\n33. Hunt, K. H. (1977). Customers satisfaction dissatisfaction-overview and future directions, in Hunt, K. H. ed., conceptualization and measurement of customer satisfaction and dissatisfaction, Journal of Retailing, 50(4), 8-14.\n34. Huppertz, J. W., Arenson, S. J., & Evans, R. H. (1978). An application of equity theory to buyer-seller exchange situations. Journal of marketing research, 15(2), 250-260.\n35. Ives, B., Olsen, M. & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.\n36. Kettinger, W. J. & Lee, C. C. (1994). Perceived service quality and user satisfaction with the Information Services Function, Decision Sciences, 25(6), 737-767.\n37. Kim, C., Oh, E., Shin, N. & Chae, M. (2009). An empirical investigation of factors affecting ubiquitous computing use and U-business value. International Journal of Information Management, 29(6), 436-448.\n38. Kolesar, M. B. & Galbraith, R. W. (2000). A services marketing perspective on E-retailing: implications for E-retailers and directions for further research. Internet Research, 10(5), 424.\n39. Kotler, P. & Keller, K. L. (2006). Marketing management (12th ed.), Prentice-Hall Inc.\n40. Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: A methodology for information quality assessment. Information and Management, 40(2), 133-146.\n41. Levitt, T. (1972). Production-line approach to service. Harvard Business Review, 50(4), 41-52.\n42. Lovelock, C. H. (1996). Services marketing, (3rd ed.), Prentuce Hall.\n43. McKinney, V. & Yoon, K. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13 (3), 296-315.\n44. Monroe, K. B. (2003). Pricing: Making profitable decisions (5th ed.), McGraw Hill.\n45. Monroe, K. B., & Krishnan, R. (1985). The effect of price on subjective product evaluations. Perceived quality, 1(1), 209-232.\n46. Nakhai, B., & Neves, J. S. (2009). The challenges of six sigma in improving service quality. International Journal of Quality and Reliability Management, 26(7), 663–684.\n47. Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retailing setting. Journal of Retailing, 57(3), 25-48.\n48. Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of consumer research, 20(3), 418-430.\n49. Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of consumer research, 14(4), 495-507.\n50. Osterwalder, A., & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Wiley.\n51. Parasuraman, A. & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Journal of the Academy of Marketing Science, 28(1), 168-174.\n52. Parasuraman, A., Zeithaml, V. A. & Berry, L. L. (1985). A conceptual model of service quality and its implication for future research. Journal of Marketing, 49(4), 41-50.\n53. Parasuraman, A., Zeithaml, V. A. & Berry, L. L. (1988). SERVQUAL: A multipleitem scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.\n54. Parasuraman, A., Zeithaml, V. A. & Berry, L. L. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 67(4), 420-450.\n55. Parasuraman, A., Zeithaml, V. A. & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.\n56. Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of leisure research, 34(2), 119-134.\n57. Petrick, J. F., & Backman, S. J. (2001). An examination of golf travelers` satisfaction, perceived value, loyalty, and intentions to revisit. Tourism Analysis, 6(3/4), 223-237.\n58. Ryu, K., & Jang, S. (2008). Dinescape: A scale for customers` perception of dining environments. Journal of Foodservice Business Research, 11(1), 2-22.\n59. Sasser, W. E., Olsen, R. P. & Wyckoff, D. D. (1978). Management of service operations, text and cases, Allyn and Bacon, 33-54.\n60. Seddon, P. B. & Kiew, M. Y. (1994). A partial test and development of DeLone and McLean`s model of IS success, The Australian Journal of Information Systems, 4(1), 90-109.\n61. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean Model of IS Success. Information Systems Research, 8(3), 240-253.\n62. Sheth, J. N., Newman, B. I. & Gross B. L. (1991), Why we buy what we buy: A theory of consumption value, Journal of Business Research, 22(1), 159-170.\n63. Shohreh, A. & I. B. Christine (2000), A proposal to assess the service quality services of online travel agencies: An exploratory study, Journal of Professional Services Marketing, 21(1), 63-88.\n64. Singh, J. (1991), Understanding the structure of consumers satisfaction evaluations of service delivery, Journal of the Academy of Marketing Science, 19(3), 223-244.\n65. Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220.\n66. Teas, R. K., & Agarwal, S. (2000). The effects of extrinsic product cues on consumers’ perceptions of quality, sacrifice, and value. Journal of the Academy of marketing Science, 28(2), 278-290.\n67. Wang, Y. S. (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18 (5), 529-557.\n68. Wolfinbarger, M. & Gilly, M. C. (2001). Shopping online for freedom, control, and fun, California Management Review, 43(2), 34-55.\n69. Wolfinbarger, M. & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.\n70. Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value: A means- end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.\n71. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of marketing, 60(2), 31-46.\n72. Zeithaml, V. A., Parasuraman, A. & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375.\n73. Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2000). E-service quality: definition, dimensions and conceptual model. Marketing Science Institute.
描述: 碩士
國立政治大學
企業管理研究所(MBA學位學程)
107363102
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0107363102
資料類型: thesis
Appears in Collections:學位論文

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