研究生: |
張家豪 Chia-Hao Chang |
---|---|
論文名稱: |
以主路徑分析方法探討廣告產業發展脈絡 Exploring the development of advertising industry by main path analysis |
指導教授: |
朱曉萍
Siao-Ping Ju |
口試委員: |
劉顯仲
詹德譯 陳曉郁 |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 科技管理研究所 Graduate Institute of Technology Management |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 120 |
中文關鍵詞: | 廣告產業 、廣告策略 、主路徑分析方法 、集群分析方法 |
外文關鍵詞: | Advertising industry, Advertising strategy, Main path analysis, Clustering analysis |
相關次數: | 點閱:514 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在過去數十年來,關於廣告投放的關鍵技術已經累積許多來自不同觀點的文獻討論,然而,因為科技的進步使得廣告的形式變化快速,目前在社會科學研究的管理領域中,鮮少研究討論整體廣告產業發展的脈絡、知識結構和其應用領域。因此,為了進一步討論近代廣告產業的發展方向,本研究以近十年廣告發展之相關文獻作為研究此領域的演變與發展分析,提供國內外學術研究人員與企業未來廣告產業可能發展的方向,以快速的掌握此領域之核心與趨勢,以及可能的廣告策略等。
本研究自Web of Science文獻資料庫中以關鍵字搜索蒐集近十年之廣告產業發展相關資料,得到4,000餘筆文獻,接著透過人工檢閱的方式去除與廣告產業發展無關聯性之資料,得到2,632筆可用資料。本研究以主路徑分析方法了解廣告產業相關文獻研究之主要發展知識軌跡;集群分析方法了解主要五大子領域中的關鍵發展脈絡,並且為避免遺漏其他重要文獻,另探討了整體網絡中的中介角色以及子領域的多數中心性,以了解廣告產業可能會受到那些社會因素的影響,以及其知識擴散與傳遞的脈絡。
研究結果發現,廣告產業發展相關文獻的關鍵路徑中可以按年份做了階段性主題的切割,分為兩大階段。階段一討論廣告目標技術的發展,可細分為針對性廣告概念的普及化以及關鍵字廣告的基礎研究,與搜尋引擎廣告的發展與整合;階段二的前期只有一條路徑,為關鍵字廣告的整合與應用,並且注重其策略成本與預算的探討,到了階段二後期再度進入數位廣告的新時代,討論了廣告產業與新技術的整合應用,同時消費者的隱私問題與廣告倫理再度被重視。而綜觀整個關鍵主路徑、集群網絡與集群關鍵路徑,可以發現廣告產業的發展確實可以反映一個地區經濟與科技發展的程度。從消費者資訊的重要性,到隱私權的重視,接著發展出了搜尋引擎行銷 (search engine marketing, SEM) 使廣告更有效益,隨著數位廣告時代的到來與智慧型裝置的普及,行動廣告漸漸成為廣告產業的主流,也發展出了融合SEM競價機制與即時性的程序化廣告(programmatic advertising, PA),最後個性化廣告使得消費者的隱私權再度受到重視。本研究結果雖未及詳細說明發展過程的諸多衍生技術,但不可置否的是,廣告的技術應用與發展已經是各大企業與高度發展國家不可或缺的一部分。
關鍵字:廣告產業、廣告策略、主路徑分析方法、集群分析方法
In the past few decades, there have been many literature discussions on different aspects of key technologies for advertising. However, due to the advancement of technology, the form of advertising has changed rapidly. Currently, there is little research in the field of social science research management, which discuss the development of the advertising industry and its knowledge structure. Therefore, in order to further discuss the development direction of advertising industry, this study takes the literature of advertising industry in the past ten years as the research on the evolution and development of this field, and provides the possible development direction to future academic researchers and enterprises in the future.
This research collected literature database for nearly ten years from the Web of Science by keyword searching, and more than 4,000 documents were obtained. Then, through manual review, information which are not related to overall advertising industry development were removed, and 2,632 available information were obtained. This study uses the main path analysis method to understand the main development knowledge trajectory of the literature research related to advertising strategy, also, by using the cluster analysis method to understand the key development in the four major sub-fields. To avoid the omission of other important documents, this study also discuss the overall network by intermediary roles, structural holes, and the centrality of sub- fields to understand that advertising strategies may be influenced by which social factors, as well as the context of advertising industry knowledge transmission.
The research results show that the key path of the relevant literature of advertising industry can be cut into two phases according to the year. Phase 1 and the end of phase 2 can be divided into two parts, which means the overall main path has five stage. Phase 1 discusses the development of advertising target technology, which can be subdivided into the popularization of targeted advertising concepts and the basic research of keyword advertising, and the development and integration of search engine advertising ; Phase 2 has only one path in the beginning, which mentions the integration and application of keyword advertising, and also focus on its strategic cost and budget discussion; At the end of Phase 2 re-enters the new stage of digital advertising, which discusses the integration of advertising strategies and new technologies, while consumers' privacy issues and advertising ethics are once again valued.
Keywords:Advertising industry, Advertising strategy, Main path analysis, Clustering analysis
1. Ahmadi-Javid, A., & Hoseinpour, P. (2012). On a cooperative advertising model for a supply chain with one manufacturer and one retailer. European Journal of Operational Research, 219(2), 458-466.
2. Akaka, M. A., & Alden, D. L. (2010). Global brand positioning and perceptions: International advertising and global consumer culture. International journal of Advertising, 29(1), 37-56.
3. Amaldoss, W., Desai, P. S., & Shin, W. (2015). Keyword search advertising and first-page bid estimates: A strategic analysis. Management Science, 61(3), 507-519.
4. Amaldoss, W., Jerath, K., & Sayedi, A. (2015). Keyword management costs and “broad match” in sponsored search advertising. Marketing Science, 35(2), 259-274.
5. Aslam, B., & Karjaluoto, H. (2017). Digital advertising around paid spaces, E-advertising industry’s revenue engine: A review and research agenda. Telematics and Informatics, 34(8), 1650-1662.
6. Athey, S., & Gans, J. S. (2010). The impact of targeting technology on advertising markets and media competition. American Economic Review, 100(2), 608-13.
7. Aust, G., & Buscher, U. (2014). Cooperative advertising models in supply chain management: A review. European Journal of Operational Research, 234(1), 1-14.
8. Aust, G., & Buscher, U. (2014). Vertical cooperative advertising in a retailer duopoly. Computers & Industrial Engineering, 72, 247-254.
9. Baek, T. H., & Morimoto, M. (2012). Stay away from me. Journal of advertising, 41(1), 59-76.
10. Bang, H., & Wojdynski, B. W. (2016). Tracking users' visual attention and responses to personalized advertising based on task cognitive demand. Computers in Human Behavior, 55, 867-876.
11. Bellman, S., Schweda, A., & Varan, D. (2010). The residual impact of avoided television advertising. Journal of advertising, 39(1), 67-82.
12. Bleier, A., & Eisenbeiss, M. (2015). Personalized online advertising effectiveness: The interplay of what, when, and where. Marketing Science, 34(5), 669-688.
13. Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017). Online behavioral advertising: A literature review and research agenda. Journal of Advertising, 46(3), 363-376.
14. Borgatti, S. P., Jones, C., & Everett, M. G. (1998). Network measures of social capital. Connections, 21(2), 27-36.
15. Bu, K., Kim, D., & Lee, S. Y. (2009). Determinants of visual forms used in print advertising: a cross-cultural comparison. International Journal of Advertising, 28(1), 13-47.
16. Cao, B., Zhou, Y. W., Xie, W., & Zhong, Y. (2017). Optimal pricing/ordering and advertising investment strategies for a capital-constrained retailer. Computers & Industrial Engineering, 114, 274-287.
17. Chaab, J., & Rasti-Barzoki, M. (2016). Cooperative advertising and pricing in a manufacturer-retailer supply chain with a general demand function; A game-theoretic approach. Computers & Industrial Engineering, 99, 112-123.
18. Chandra, A. (2009). Targeted advertising: The role of subscriber characteristics in media markets. The Journal of Industrial Economics, 57(1), 58-84.
19. Chandrasekaran, D., Srinivasan, R., & Sihi, D. (2018). Effects of offline ad content on online brand search: Insights from super bowl advertising. Journal of the Academy of Marketing Science, 46(3), 403-430.
20. Chen, P. T., & Hsieh, H. P. (2012). Personalized mobile advertising: Its key attributes, trends, and social impact. Technological Forecasting and Social Change, 79(3), 543-557.
21. Chutani, A., & Sethi, S. P. (2012). Cooperative advertising in a dynamic retail market oligopoly. Dynamic Games and Applications, 2(4), 347-375.
22. Chutani, A., & Sethi, S. P. (2012). Optimal advertising and pricing in a dynamic durable goods supply chain. Journal of Optimization Theory and Applications, 154(2), 615-643.
23. Chutani, A., & Sethi, S. P. (2018). Dynamic cooperative advertising under manufacturer and retailer level competition. European Journal of Operational Research, 268(2), 635-652.
24. Cui, G., Yang, X., Wang, H., & Liu, H. (2012). Culturally incongruent messages in international advertising. International Journal of Advertising, 31(2), 355-376.
25. De Mooij, M., & Hofstede, G. (2010). The Hofstede model: Applications to global branding and advertising strategy and research. International Journal of advertising, 29(1), 85-110.
26. Dhar, S., & Varshney, U. (2011). Challenges and business models for mobile location-based services and advertising. Communications of the ACM, 54(5), 121-128.
27. Dix, S., Jamieson, K., & Shimul, A. S. (2016). SMS advertising the Hallyu way: drivers, acceptance and intention to receive. Asia Pacific Journal of Marketing and Logistics, 28(2), 366-380.
28. Erickson, G. M. (2009). Advertising competition in a dynamic oligopoly with multiple brands. Operations research, 57(5), 1106-1113.
29. Farshbaf-Geranmayeh, A., Rabbani, M., & Taleizadeh, A. A. (2018). Channel coordination with cooperative advertising considering effect of advertising on willingness to pay. Journal of Optimization Theory and Applications, 176(2), 509-525.
30. Ford, J. B., Mueller, B., Taylor, C. R., & Hollis, N. (2011). The Tension between Strategy and Execution: Challenges for International Advertising Research: Globalization is Much More Than Universal Branding. Journal of Advertising Research, 51(1 50th Anniversary Supplement), 27-41.
31. Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social networks, 1(3), 215-239.
32. Garfield, E. (1964). " Science Citation Index"-A New Dimension in Indexing. Science, 144(3619), 649-654.
33. Garfield, E., Sher, I. H., & Torpie, R. J. (1964). The use of citation data in writing the history of science. INSTITUTE FOR SCIENTIFIC INFORMATION INC PHILADELPHIA PA, 1-95.
34. Giri, B. C., & Sharma, S. (2014). Manufacturer's pricing strategy in a two-level supply chain with competing retailers and advertising cost dependent demand. Economic Modelling, 38, 102-111.
35. Ghose, A., & Yang, S. (2009). An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management science, 55(10), 1605-1622.
36. Goldfarb, A., & Tucker, C. E. (2011). Privacy regulation and online advertising. Management science, 57(1), 57-71.
37. Goldfarb, A., & Tucker, C. (2011). Search engine advertising: Channel substitution when pricing ads to context. Management Science, 57(3), 458-470.
38. Gould, R. V., & Fernandez, R. M. (1989). Structures of mediation: A formal approach to brokerage in transaction networks. Sociological methodology, 89-126.
39. Guenther, P., & Guenther, M. (2018). Isolating the value-relevant part of advertising spending. European Journal of Marketing, 52(7/8), 1625-1650.
40. Heinberg, M., Ozkaya, H. E., & Taube, M. (2017). The influence of global and local iconic brand positioning on advertising persuasion in an emerging market setting. Journal of International Business Studies, 48(8), 1009-1022.
41. Heo, J., & Chang, C. W. (2018). Factors influencing intention to accept location-based mobile advertising among young mobile user segments: a social exchange perspective. International Journal of Mobile Communications, 16(6), 607-623.
42. He, X., Krishnamoorthy, A., Prasad, A., & Sethi, S. P. (2011). Retail competition and cooperative advertising. Operations Research Letters, 39(1), 11-16.
43. He, X., Krishnamoorthy, A., Prasad, A., & Sethi, S. P. (2012). Co‐op advertising in dynamic retail oligopolies. Decision Sciences, 43(1), 73-106.
44. He, X., Prasad, A., & Sethi, S. P. (2008, July). Cooperative advertising and pricing in a dynamic stochastic supply chain: Feedback Stackelberg strategies. In PICMET'08-2008 Portland International Conference on Management of Engineering & Technology. IEEE, 1634-1649.
45. Ho, M., & Verspagen, B. (2006). The role of national borders and regions in knowledge flows. How Europe’s economies learn, 50-79.
46. House, R. J., Quigley, N. R., & de Luque, M. S. (2010). Insights from Project GLOBE: Extending global advertising research through a contemporary framework. International Journal of Advertising, 29(1), 111-139.
47. Howells, J. R. (2002). Tacit knowledge, innovation and economic geography. Urban studies, 39(5-6), 871-884.
48. Huang, J., Leng, M., & Liang, L. (2012). Recent developments in dynamic advertising research. European Journal of Operational Research, 220(3), 591-609.
49. Hummon, N. P., & Carley, K. (1993). Social networks as normal science∗. Social networks, 15(1), 71-106.
50. Hummon, N. P., & Dereian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social networks, 11(1), 39-63.
51. Jindal, N., & McAlister, L. (2015). The impacts of advertising assets and R&D assets on reducing bankruptcy risk. Marketing Science, 34(4), 555-572.
52. Joo, M., Wilbur, K. C., Cowgill, B., & Zhu, Y. (2013). Television advertising and online search. Management Science, 60(1), 56-73.
53. Joshi, A., & Hanssens, D. M. (2010). The direct and indirect effects of advertising spending on firm value. Journal of marketing, 74(1), 20-33.
54. Joshi, A. M., & Hanssens, D. M. (2009). Movie advertising and the stock market valuation of studios: a case of “great expectations?”. Marketing Science, 28(2), 239-250.
55. Jun, S., Jeong, Y., Gentry, J. W., & Hyun, Y. J. (2017). The moderating effect of self-esteem on consumer responses to global positioning in advertising. International Journal of Advertising, 36(2), 272-292.
56. Katona, Z., & Sarvary, M. (2010). The race for sponsored links: Bidding patterns for search advertising. Marketing Science, 29(2), 199-215.
57. Kim, K. K., Williams, J. D., & Wilcox, G. B. (2016). ‘Kid tested, mother approved’: the relationship between advertising expenditures and ‘most-loved’brands. International Journal of Advertising, 35(1), 42-60.
58. Kim, M., & McAlister, L. M. (2011). Stock market reaction to unexpected growth in marketing expenditure: negative for sales force, contingent on spending level for advertising. Journal of Marketing, 75(4), 68-85.
59. Kim, Y. J., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256-269.
60. Kumar, V., & Gupta, S. (2016). Conceptualizing the evolution and future of advertising. Journal of Advertising, 45(3), 302-317.
61. Laszlo, J., & IAB Mobile Advertising Committee. (2009). The new unwired world: An IAB status report on mobile advertising. Journal of Advertising Research, 49(1), 27-43.
62. Lic Daymette, & Daymette Montenegro. (2017). THE HISTORY OF ADVERTISING, 1-15.
63. Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: An empirical model and a field experiment. Journal of Marketing Research, 51(1), 40-56.
64. Li, H., Li, A., & Zhao, S. (2009). Internet advertising strategy of multinationals in China: a cross-cultural analysis. International Journal of Advertising, 28(1), 125-146.
65. Lin, C. W., Hsu, Y. C., & Lin, C. Y. (2017). User perception, intention, and attitude on mobile advertising. International Journal of Mobile Communications, 15(1), 104-117.
66. Lin, T. T. C., Paragas, F., & Bautista, J. R. (2016). Determinants of mobile consumers' perceived value of location-based advertising and user responses, 1-33.
67. Lin, T. T., Paragas, F., Goh, D., & Bautista, J. R. (2016). Developing location-based mobile advertising in Singapore: A socio-technical perspective. Technological Forecasting and Social Change, 103, 334-349.
68. Liu, J. S., & Lu, L. Y. (2012). An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the American Society for Information Science and Technology, 63(3), 528-542.
69. Liu, J. S., Lu, L. Y., & Ho, M. H. C. (2019). A few notes on main path analysis. Scientometrics, 119(1), 379-391.
70. LUMAscape. (2019). 2019 Display LUMAscape.
Retrived from
https://lumapartners.com/content/lumascapes/display-ad-tech-lumascape/
71. Fosfuri, A., & Giarratana, M. S. (2009). Masters of war: Rivals' product innovation and new advertising in mature product markets. Management Science, 55(2), 181-191.
72. George Albert Steiner, & John B. Miner. (1977). Management policy and strategy, 1-368.
73. Johnson, J. P. (2013). Targeted advertising and advertising avoidance. The RAND Journal of Economics, 44(1), 128-144.
74. Kannan, P. K. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22-45.
75. Liaukonyte, J., Teixeira, T., & Wilbur, K. C. (2015). Television advertising and online shopping. Marketing Science, 34(3), 311-330.
76. MacRoberts, M. H., & MacRoberts, B. R. (1989). Problems of citation analysis: A critical review. Journal of the American Society for information Science, 40(5), 342-349.
77. Marsden, C. D. (1982). The mysterious motor function of the basal ganglia: The Robert Wartenberg Lecture. Neurology, 32(5), 514-539.
78. McAlister, L., Srinivasan, R., Jindal, N., & Cannella, A. A. (2016). Advertising effectiveness: the moderating effect of firm strategy. Journal of Marketing Research, 53(2), 207-224.
79. Mitchell, J. C. (1969). The concept and use of social networks. Social networks in urban situations, 1-347.
80. Mitchell, J. C. (Ed.). (1969). Social networks in urban situations: analyses of personal relationships in Central African towns. Manchester University Press, 1-347.
81. Moreno, J. L. (1934). Who shall survive?: A new approach to the problem of human interrelations, 1-440.
82. Mpinganjira, M., & Maduku, D. K. (2019). Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands. Journal of Business Research, 95, 464-478.
83. Mpinganjira, M., & Maduku, D. K. (2019). Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands. Journal of Business Research, 95, 464-478.
84. Newman, M. E., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical review E, 69(2), 026113.
85. Nonaka, I., Toyama, R., & Hirata, T. (2008). Managing flow: A process theory of the knowledge-based firm. Springer, 1-22.
86. Okazaki, S., & Mueller, B. (2011). The impact of the lost decade on advertising in Japan: a grounded theory approach. International Journal of Advertising, 30(2), 205-232.
87. Okazaki, S., Li, H., & Hirose, M. (2009). Consumer privacy concerns and preference for degree of regulatory control. Journal of advertising, 38(4), 63-77.
88. Okazaki, S., Mueller, B., & Taylor, C. R. (2010). Global consumer culture positioning: testing perceptions of soft-sell and hard-sell advertising appeals between US and Japanese consumers. Journal of International Marketing, 18(2), 20-34.
89. Okazaki, S., Mueller, B., & Taylor, C. R. (2010). Measuring soft-sell versus hard-sell advertising appeals. Journal of Advertising, 39(2), 5-20.
90. Palos-Sanchez, P., Saura, J. R., & Martin-Velicia, F. (2019). A study of the effects of programmatic advertising on users' concerns about privacy overtime. Journal of Business Research, 96, 61-72.
91. Paul Suggett. (2019). The Different Types of Advertising Methods Available to You.
Retrived from
https://www.thebalancesmb.com/different-types-of-advertising-methods-38548
92. Plummer, J., Rappaport, S. D., Hall, T., & Barocci, R. (2007). The online advertising playbook: Proven strategies and tested tactics from the advertising research foundation. John Wiley & Sons, 1-83.
93. Rahman, M., Rodríguez-Serrano, M. Á., & Lambkin, M. (2017). Corporate social responsibility and marketing performance: The moderating role of advertising intensity. Journal of Advertising Research, 57(4), 368-378.
94. Raoufinia, M., Baradaran, V., & Shahrjerdi, R. (2019). A dynamic differential oligopoly game with sticky price and advertising: Open-loop and closed-loop solutions. Kybernetes, 48(3), 586-611.
95. Rossiter, J. R., & Percy, L. (1987). Advertising and promotion management. McGraw-Hill Book Company, 1-647.
96. Rothwell, J. C., Traub, M. M., Day, B. L., Obeso, J. A., Thomas, P. K., & Marsden, C. D. (1982). Manual motor performance in a deafferented man. Brain, 105(3), 515-542.
97. Ryan, D. (2016). Understanding digital marketing: marketing strategies for engaging the digital generation. Kogan Page Publishers, 1-244.
98. Sayedi, A., Jerath, K., & Srinivasan, K. (2014). Competitive poaching in sponsored search advertising and its strategic impact on traditional advertising. Marketing Science, 33(4), 586-608.
99. Sethuraman, R., Tellis, G. J., & Briesch, R. A. (2011). How well does advertising work? Generalizations from meta-analysis of brand advertising elasticities. Journal of Marketing Research, 48(3), 457-471.
100. Shi, H., Liu, Y., & Petruzzi, N. C. (2019). Informative advertising in a distribution channel. European Journal of Operational Research, 274(2), 773-787.
101. Shin, W. (2015). Keyword search advertising and limited budgets. Marketing Science, 34(6), 882-896.
102. Shin, W., & Lin, T. T. C. (2016). Who avoids location-based advertising and why? Investigating the relationship between user perceptions and advertising avoidance. Computers in Human Behavior, 63, 444-452.
103. Sinkovics, R. R., Pezderka, N., & Haghirian, P. (2012). Determinants of consumer perceptions toward mobile advertising—a comparison between Japan and Austria. Journal of Interactive Marketing, 26(1), 21-32.
104. Smit, E. G., Van Noort, G., & Voorveld, H. A. (2014). Understanding online behavioural advertising: User knowledge, privacy concerns and online coping behaviour in Europe. Computers in Human Behavior, 32, 15-22.
105. Sridhar, S., Germann, F., Kang, C., & Grewal, R. (2016). Relating online, regional, and national advertising to firm value. Journal of Marketing, 80(4), 39-55.
106. Srinivasan, S., Pauwels, K., Silva-Risso, J., & Hanssens, D. M. (2009). Product innovations, advertising, and stock returns. Journal of Marketing, 73(1), 24-43.
107. Stafford, M. R., & Faber, R. J. (2015). Advertising, promotion, and new media. Routledge, 1-400.
108. Strauss, J., & Frost, R. (2008). E-marketing. Prentice Hall Press, 1-496.
109. Taylor, C. R. (2010). Towards stronger theory development in international advertising research, 9-14.
110. Taylor, C. R. (2018). Generational research and advertising to millennials, 165-167.
111. Taylor, C. R., & Okazaki, S. (2015). Do global brands use similar executional styles across cultures? A comparison of US and Japanese television advertising. Journal of Advertising, 44(3), 276-288.
112. Tellis, G. J., & Tellis, K. (2009). Research on advertising in a recession: a critical review and synthesis. Journal of Advertising Research, 49(3), 304-327.
113. Tuli, K. R., Mukherjee, A., & Dekimpe, M. G. (2012). On the value relevance of retailer advertising spending and same-store sales growth. Journal of Retailing, 88(4), 447-461.
114. Wang, R., Gou, Q., Choi, T. M., & Liang, L. (2016). Advertising Strategies for Mobile Platforms With “Apps”. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(5), 767-778.
115. Wang, Y., & Sun, S. (2010). Assessing beliefs, attitudes, and behavioral responses toward online advertising in three countries. International Business Review, 19(4), 333-344.
116. Wang, Y., & Sun, S. (2010). Examining the role of beliefs and attitudes in online advertising: A comparison between the USA and Romania. International Marketing Review, 27(1), 87-107.
117. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge university press, 3-27.
118. Wu, I. L., & Hsiao, W. H. (2017). Involvement, content and interactivity drivers for consumer loyalty in mobile advertising: the mediating role of advertising value. International Journal of Mobile Communications, 15(6), 577-603.
119. Wu, J., Arora, A. S., & Arora, A. (2016). Experience the “ambience” Testing perceptions of ambient advertising innovations between the United States and Indian consumers. International Journal of Emerging Markets, 11(2), 148-174.
120. Xie, J., & Neyret, A. (2009). Co-op advertising and pricing models in manufacturer–retailer supply chains. Computers & Industrial Engineering, 56(4), 1375-1385.
121. Xie, J., & Wei, J. C. (2009). Coordinating advertising and pricing in a manufacturer–retailer channel. European Journal of Operational Research, 197(2), 785-791.
122. Xu, H., Oh, L. B., & Teo, H. H. (2009). Perceived effectiveness of text vs. multimedia location-based advertising messaging. International Journal of Mobile Communications, 7(2), 154-177.
123. Yang, J., Xie, J., Deng, X., & Xiong, H. (2013). Cooperative advertising in a distribution channel with fairness concerns. European Journal of Operational Research, 227(2), 401-407.
124. Yang, S., & Ghose, A. (2010). Analyzing the relationship between organic and sponsored search advertising: Positive, negative, or zero interdependence?. Marketing science, 29(4), 602-623.
125. Yao, S., & Mela, C. F. (2011). A dynamic model of sponsored search advertising. Marketing Science, 30(3), 447-468.
126. Yoon, S., Kim, Y., & Baek, T. H. (2016). Effort investment in persuasiveness: A comparative study of environmental advertising in the United States and Korea. International Journal of Advertising, 35(1), 93-105.
127. Zarantonello, L., Jedidi, K., & Schmitt, B. H. (2013). Functional and experiential routes to persuasion: An analysis of advertising in emerging versus developed markets. International Journal of Research in Marketing, 30(1), 46-56.
128. Zarouali, B., Poels, K., Ponnet, K., & Walrave, M. (2018). “Everything under control?”: Privacy control salience influences both critical processing and perceived persuasiveness of targeted advertising among adolescents. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(1).
129. Zu, Y., & Chen, L. (2017). Myopic versus far-sighted behaviors in dynamic supply chain coordination through advertising with reference price effect. Discrete Dynamics in Nature and Society, 2017, 1-15.
130. 苗宇, 劉麗. (2001). 廣告實務大全:企業廣告策劃與廣告平面設計實務:內蒙古科學技術出版社
131. 汪洋, 李潤發. (2002). 卓越經典:中國經濟出版社
132. 譚昆智. (2005). 營銷管理:中山大學出版社
133. 徐漢文, 霍瀾平. (2005). 21世紀「產學結合型」新概念教材 現代企業經營管理:東北財經大學出版社
134. 劉丁己, 餘嘉明, 張家麟. (2006). 論代言人推薦式廣告如何影響消費者態度:商業研究
135. 後東升, 周偉編.(2007). 零售店商品促銷策略:海天出版社
136. 鄭羽蓉. (2008). 淺談廣告策略之研擬─以張君雅廣告為例:國立中壢高商附校
137. 劉昱. (2008). 經典營銷案例新編:經濟管理出版社
138. 賀康莊.(2010). 現代廣告實務:東南大學出版社
139. 毛嘉瑜. (2011). 運用社會網路法及引文分析進行期刊分群─以工業工程與管理領域為例:國立台北大學圖書館
140. 陳光華, & 陳雅琦. (2014). 探索人文社會學者研究產出之總合軌跡: 以臺灣大學人文社會高等研究院為例. 圖書資訊學刊, 12(2), 81-116.
141. DMA. (2018). 2017年台灣數位廣告量統計報告