• 沒有找到結果。

第四章 結語

第三節 未來研究建議

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第三節 未來研究建議

一、以量化研究驗證本論文所提及藝文平台優化方案

建議未來的研究可以量化的方式驗證本篇論文所提及的藝文平台優化機 制,以更廣泛的母體群,測試消費者對於每項平台功能接受程度,並進一步探 尋消費者對各功能的付費意願,找出藝文平台可行的創新獲利模式。

二、增加對每項優化方案的成本效益分析

受限於研究者本身的知識能力,未能對每項平台功能進行合理的成本估 計,僅能倚賴專家學者對整體平台建置的成本做簡單的評估。因此建議未來的 研究可估算每項優化藝文平台的行動方案,其成本效益如何,讓平台經營者有 更可靠的決策參考。

三、建立實體平台進行可行性測試

受限於研究者本身的知識能力及經費限制,無法將本研究所提及的概念性 平台轉化為可真實操作的實體平台,使受訪者僅能憑自己的想像進行本研究的 訪談。若經費技術允許,建議可建立一實體平台,並從研究中逐一修正每項平 台功能,進而使平台更貼近使用者的期望與需求,增加平台實際運作的可能 性。

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12. 行政院文化建設委員會文化統計,2005~2006。取自文化部網站:https:

//stat.moc.gov.tw/eBook_List_Dtl.aspx?RID=20052006

13. 陳乃慈(2017)。美感也是競爭力 推廣藝文競爭力從何下手?文化風向 球:專訪葉丙成。取自全國文化會議網站:https:

//nccwp.moc.gov.tw/interview_18

14. 教育部統計處教育統計查詢網。https://stats.moe.gov.tw/

15. 2013~2018 兩廳院售票系統消費行為報告。https://artsticketreport.npac-ntch.org/2019/

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3. Bertrand, K. (1989). In service, perception counts. Business Marketing, 74(4), 44-50.

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//hbr.org/2013/01/three-elements-of-a-successful-platform.

5. Boothe, R. (1990). Who defines quality in service industries. Quality Progress, 23(2), 65-67.

6. Breese, J. S., Heckerman, D., & Kadie, C. (2013). Empirical analysis of predictive algorithms for collaborative filtering. arXiv preprint arXiv1301.7363. Retreieved from: https://arxiv.org/abs/1301.7363.

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14. Chesbrough, H. (2010). Business model innovation: opportunities and barriers. Long Range Planning, 43(2-3), 354-363.

15. De Campos, L. M., Fernández-Luna, J. M., Huete, J. F., & Rueda-Morales, M. A.

(2010). Combining content-based and collaborative recommendations: A hybrid

16. Desrosiers, C., & Karypis, G. (2011). A comprehensive survey of neighborhood-based recommendation methods. In Recommender systems handbook, 107-144.

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17. Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Information Systems

Research, 13(3), 316-333.

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19. Ellahi, A., & Bokhari, R. H. (2013). Key quality factors affecting users' perception of social networking websites. Journal of Retailing and Consumer Services, 20(1), 120-129.

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21. Efthymiou, M., Njoya, E. T., Lo, P. L., Papatheodorou, A., & Randall, D. (2019).

The Impact of Delays on Customers' Satisfaction: an Empirical Analysis of the British Airways On-Time Performance at Heathrow Airport. Journal of Aerospace

Technology and Management, 11.

22. Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996).

The American customer satisfaction index: nature, purpose, and findings. Journal of Marketing, 60(4), 7-18.

23. Felson, M., & Spaeth, J. L. (1978). Community structure and collaborative consumption: A routine activity approach. American Behavioral Scientist, 21(4), 614-624.

24. Francken, D. A. (1983). Postpurchase consumer evaluations, complaint actions and repurchase behavior. Journal of Economic Psychology, 4(3), 273-290.

25. Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3(1), 27-51.

26. Ghobadian, A., Speller, S., & Jones, M. (1994). Service quality. International Journal of Quality & Reliability Management, 11(9), 43-66.

27. Gronroos, C. (1984). A service quality model and its marketing implications.

28. Homburg, C., Koschate, N., & Hoyer, W. D. (2005). Do satisfied customers really pay more? A study of the relationship between customer satisfaction and willingness to pay. Journal of marketing, 69(2), 84-96.

29. Holloway, B. B., Wang, S., & Parish, J. T. (2005). The role of cumulative online purchasing experience in service recovery management. Journal of Interactive Marketing, 19(3), 54-66.

30. Janda, S., Trocchia, P. J., & Gwinner, K. P. (2002). Consumer perceptions of Internet retail service quality. International Journal of Service Industry Management, 13(5), 412-431.

31. Jones, K., & Leonard, L. N. (2007). Consumer-to-consumer electronic commerce: a distinct research stream. Journal of Electronic Commerce in Organizations (JECO), 5(4), 39-54.

32. Johnson, M. W., Christensen, C. M., & Kagermann, H. (2008). Reinventing your business model. Harvard business review, 86(12), 57-68.

33. Johnson, M. W., & Lafley, A. G. (2010). Seizing the white space: Business model innovation for growth and renewal. Harvard Business Press.

34. Koren, Y., & Bell, R. (2015). Advances in collaborative filtering.

In Recommender systems handbook, 77-118. Springer, Boston, MA.

35. Khristianto, W., & Suyadi, I. (2012). The influence of information, system, and service on customer satisfaction and loyalty in online shooping of forum Jual Beli Kaskus. US, Malang Region. International Journal of Academic Research, 4(2).

Retrieved from: https:

//www.academia.edu/2313509/The_Influence_of_Information_System_Quality_and_

36.Service_Quality_on_Customer_Satisfaction_and_Loyalty_in_Online_Shopping_In ternational_Journal_of_Academic_Research_IJAR_Vol._4_No.2_2012_.

37. Kim, J., & Lee, J. (2002). Critical design factors for successful e-commerce systems. Behaviour & Information Technology, 21(3), 185-199.

38. Knodel, J. (1993). The design and analysis of focus group studies: A practical approach. Successful focus groups Advancing the state of the art, 1, 35-50.

39. Kotler, P. (1999). Marketing management: The millennium edition (Vol. 199).

Upper Saddle River, NJ: Prentice Hall.

40. Kotler, P. (2009). Marketing management: The millennium edition (13th ed.).

Upper Saddle River, NJ: Prentice Hall.

41. Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176.

42. Liao, Z., & Cheung, M. T. (2002). Internet-based e-banking and consumer attitudes: an empirical study. Information & Management, 39(4), 283-295.

43. Liao, Z., & Cheung, M. T. (2001). Internet-based e-shopping and consumer

44. Liu, X., He, M., Gao, F., & Xie, P. (2008). An empirical study of online shopping customer satisfaction in China: a holistic perspective. International Journal of Retail & Distribution Management, 36(11), 919-940.

45. Luka, L. (2018). Platform Revolution: The case of Automotive sharing platforms.

46. Lops, P., De Gemmis, M., & Semeraro, G. (2011). Content-based recommender systems: State of the art and trends. In Recommender systems handbook, 73-105.

Springer, Boston, MA.

47. Luo, J., Ba, S., & Zhang, H. (2012). The effectiveness of online shopping

characteristics and well-designed websites on satisfaction. Mis Quarterly, 1131-1144.

48. Martin, K., & John, Z. (2016). The rise of the platform economy. Science and Technology, 32(3), 61-69.

49. Manber, U., Patel, A., & Robison, J. (2000). Experience with personalization of Yahoo!. Communications of the ACM, 43(8), 35-39.

50. Morris, M., Schindehutte, M., & Allen, J. (2005). The entrepreneur's business model: toward a unified perspective. Journal of Business Research, 58(6), 726-735.

51. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.

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53. Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform

Revolution How Networked Markets Are Transforming the Economy? and How to Make Them Work for You. WW Norton & Company.

54. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.

55. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of Retailing, 64(1), 12-40.

56. Palese, B., & Usai, A. (2018). The relative importance of service quality dimensions in E-commerce experiences. International Journal of Information Management, 40, 132-140.

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58. Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer's urge to buy impulsively. Information Systems

Research, 20(1), 60-78.

59. Ranganathan, C., & Grandon, E. (2002). An exploratory examination of factors affecting online sales. Journal of Computer Information Systems, 42(3), 87-93.

60. Riecken, D. (2000). Introduction: personalized views of personalization.

Communications of the ACM, 43(8), 26-28.

61. Sasser, W. Earl, Olsen, R. Paul, & Wyckoff, D. Daryl. (1978). Management of service operations : text, cases, and readings. Boston (Mass.): Allyn and Bacon.

62. Shankar, V., Smith, A. K., & Rangaswamy, A. (2003). Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, 20(2), 153-175.

63. Shim, J. P., Shin, Y. B., & Nottingham, L. (2002). Retailer web site influence on customer shopping: exploratory study on key factors of customer

satisfaction. Journal of the Association for Information Systems, 3(1), 53-76.

64. Smyth, B., & Cotter, P. (2000). A personalised TV listings service for the digital TV age. Knowledge-Based Systems, 13(2-3), 53-59.

65. Symeonidis, P., Nanopoulos, A., & Manolopoulos, Y. (2008). Providing justifications in recommender systems. IEEE Transactions on Systems, Man, and Cybernetics-Part A Systems and Humans, 38(6), 1262-1272.

66. Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers' purchase intentions. Journal of Retailing, 70(2), 163-178.

67. Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 77-109.

68. Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016). Pipelines, platforms, and the new rules of strategy. Harvard Business Review, 94(4), 54-62.

69. Wheelen, T. L., Hunger, J. D., Hoffman, A. N., & Bamford, C. E.

(2010). Strategic management and business policy. Upper Saddle River, NJ:

Prentice Hall.

70. Ward, M. R., & Lee, M. J. (2000). Internet shopping, consumer search and product branding. Journal of Product & Brand Management, 9(1), 6-20.

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72. Yang, Z., & Jun, M. (2002). Consumer perception of e-service quality: from internet purchaser and non-purchaser perspectives. Journal of Business

Strategies, 19(1), 19-41.

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74. Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2000). A conceptual framework for understanding e-service quality implications for future research and managerial practice. Marketing Science Institute.

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三、LiveX 平台設計圖片引用

1. 圖 3.2.2:https://kknews.cc/zh-tw/entertainment/g5q8g8.html 2. 圖 3.2.3:https://www.ettoday.net/news/20171228/1081546.htm

https://v2.dcard.tw/f/funny/p/228300883 3. 圖

3.2.4:https://vocustaiwan.fandom.com/zh-tw/wiki/%E9%8B%BC%E7%90%B4%E4%B8%8B%E7%9A%84%E7

%A5%95%E5%AF%86

4. 圖 3.2.5:https://sites.google.com/site/quanqiufengline/home/line 5. 圖 3.2.6:https://www.youtube.com/watch?v=zdcf-zeMnvw

6. 圖 3.2.7:https://page.line.me/vsu7662w/media/77912096327102/item/3 https://www.facebook.com/NccuSO

https://m.1688.com/huo/b-C0D6D1C5B3D8C0ADB6A1CEE8B5B8B7FE.html 7. 圖 3.2.13:https://kknews.cc/health/jvver8l.html

https://www.pngwing.com/en/free-png-bopkx

http://www.juimg.com/shiliang/201609/beijing_1019624.html

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藝文活動平台未來契機探討

各位先生/小姐您好:

非常感謝您抽空參與本次訪談。本研究為「藝文活動平台未來契機探 討」,希望研究結果能找到台灣藝文平台發展的新契機,為台灣的藝文產業注 入一股全新的能量。

此份問卷所有填答資料僅作為本次研究論文的統計分析,個別資料均會進 行保密,敬請您放心地依照您實際的感受填答!

國立政治大學企業管理研究所 指導教授:韓志翔 博士 研究生:呂智隆

填答說明

由於本研究所提出的LiveX 藝文活動平台為一虛構的平台,敬請您依照圖文的 說明,想像您使用該平台所可能會擁有的感受,並依照您的感受進行填答。

第一部分:藝文活動平台使用經驗

1. 您是否有使用過兩廳院售票系統的經驗?

£是 £否

2. 您是否有使用過兩廳院售票系統的手機 APP OpenArts 的經驗?

£是 £否

3. 您最近一年在藝文表演消費的金額(包含街頭表演打賞)?

£$0 £NT$1~NT$500 £NT$501~ NT$1,000 £NT$1,001~ NT$2,000 NT

£NT$2,001~ NT$3,000 NT £NT$3,001~ NT$5,000 NT £NT$5,001 以上 4. 請問您是否有藝文表演經驗?

OpenArts 兩廳院售票系統

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關懷性

1. 我認為在我使用過平台數次 後,平台可以辨識我為常客 2. 我認為該平台可以為我呈現我 所偏好的活動資訊

3. 我對於平台所提供的多樣化支 付選項感到滿意

*我認為該平台可幫助我更了解 觀眾的偏好

*我對於平台所提供的多樣化票 券款收付選項感到滿意

可靠性

1. 我認為該平台系統是相當可靠 的

2. 我認為我可以藉由該平台找到 有興趣的表演活動

3. 我認為在平台上的票券交易會 遵循一定的規範進行

*我認為該平台可幫助我行銷表 演給有興趣的觀眾

整體服務品質

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1. 我認為該平台可提供高於預期 的服務水準

2. 我認為該平台給我的整體服務 水準是相當高的

顧客滿意度

1. 整體而言,我對於該平台的服 務感到相當滿意

2. 我認為該平台所提供給我的資 訊內容有符合我的需求

3. 我認為自己可以在該平台上輕 鬆地尋找到自己喜歡的表演活動 資訊

*我認為自己可以在該平台上輕 鬆地行銷表演活動

*為具有藝文表演經驗者須填答之題目

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第三部分:基本資料

1. 性別

£男性 £女性 2. 年齡

£18 歲以下 £19~25 歲 £26~35 歲 £36~45 歲 £46 歲以上 3. 教育程度

£高中職以下 £大學 £研究所以上 4. 每月可支配所得

£1,000 元以下 £1,001~5,000 元 £5,001~10,000 元 £10,001~15,000 元

£15,001~20,000 元 £20,001 元以上

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一、請問您平常是如何獲得(或刊登)藝文表演活動資訊?

「想找(活動)的時候就會去Google ⋯⋯FB 有人投廣告滑到就會看一下⋯⋯」

(范先生)

「Facebook 滑到通常不會理⋯⋯因為我不是有這麼多空閒就給人家塞進來,通 常是我覺得我想要聽的時候我自己就會去找了,也不用人家來塞⋯⋯廣告對我 的效益是很弱的⋯⋯基本上我是主動安排型的,我沒有那麼浪漫就是了,我比 較理工科。」(范先生)

「就網路上,會有例如說一些像FB 呀 IG 的粉絲專頁會跳出來這樣的資訊。那 有時候,也是⋯⋯或是剛好我比較忽然想聽音樂會的時候,會上兩廳院的網站 去看有沒有有興趣的表演。我大概都只會上兩廳院的網站而已,但也都比較少 在兩廳院上面逛。」(林先生)

「就⋯⋯主要藝文活動會是之前老師推薦:有時候老師自己會有表演嘛,然後 他就會給我一些票,或者說他可能會給他認識的人票。二方面是說,之前大學 的時候就有藉由網路上的一些活動,因為⋯⋯好像那時候什麼課要去看表演 吧,或是高中的時候也有,反正就是類似那種音樂課就會去⋯⋯網站,可能是 兩廳院的網站,但我印象中不是,就其他的網站,然後就去看說有什麼樣的活 動。主要是老師推薦,FB 比較不會。」(張先生)

「主要是親友推薦,或是滑臉書,或是聽那個愛樂電台。然後,嗯,想一下,

「主要是親友推薦,或是滑臉書,或是聽那個愛樂電台。然後,嗯,想一下,