题名

運用UTAUT模型探討不同產品類型行動適地性廣告之用戶接受度

并列篇名

Applying UTAUT Model to Explore and Compare User Acceptance on Mobile Location-Based Advertising among Different Product Types

作者

林士平(Sirirat Sae Lim);洪淑萍(Shu-Pin Hung);蔡佩思(Pei-Shih Tsai)

关键词

科技接受和使用整合模型(UTAUT) ; 行動適地性廣告(MLBA) ; 行動行銷 ; FCB方格 ; 產品類型 ; the Unified Theory of Acceptance and Use of Technology Model (UTAUT) ; mobile location-based advertising (MLBA) ; mobile marketing ; FCB grid ; product types

期刊名称

科技管理學刊

卷期/出版年月

24卷2期(2019 / 06 / 01)

页次

61 - 86

内容语文

繁體中文

中文摘要

行動手持裝置已成為最普遍的消費電子產品,表示行銷人員可以利用這個新機會針對目標客戶進行行動適地性廣告(Mobile Location-Based Advertising,MLBA)。然而,影響用戶接受行動適地性廣告的因素仍待釐清,因此本研究主要運用科技接受和使用整合模型(The Unified Theory of Acceptance and Use of Technology Model,UTAUT)探討潛在影響用戶對行動適地性廣告接受度之變數,以UTAUT模型建構分析架構及假設。另外,本研究加入FCB方格理論進一步探討不同產品類別對研究主題之比較性,研究結果顯示社會影響(social influence)、績效期望(performance expectancy)和有利條件(facilitating condition)具有強烈正面影響,隱私考量(privacy concern)與付出預期(effort expectancy)則顯示對行動適地性廣告接受度有些稍微影響。而與先前其他研究不同的是研究結果顯示產品特性並非用戶對行動適地性廣告接受度的主要因素。

英文摘要

Mobile device has become the most ubiquitous of consumer electronic appliance. It presents marketers new opportunities to approach the potential customers through mobile location-based advertising (MLBA). The factors, however, that affect user acceptance of MLBA are not well clarified. This study examines a set of drivers that may influence consumer’s attitude towards the acceptance of MLBA. A conceptual model with hypotheses is developed and tested. The Unified Theory of Acceptance and Use of Technology Model (UTAUT) is applied to formulate the drivers affecting consumer acceptance of MLBA. In addition, FCB grid is used to study the problem. The result indicates that social influence, performance expectancy, and facilitating condition are the strongest positive drivers, while privacy concern and effort expectancy are shown little relevance to the adoption of MLBA. Different from previous studies, the result also shows that product characteristics are not the major factors to the consumer acceptance of MLBA.

主题分类 社會科學 > 管理學
参考文献
  1. Andersson, R. (2015), “Location-Based Advertising and Marketing”, Berg Insight. From: http://www.berginsight.com/reportpdf/productsheet/bi-lba3-ps.pdf.
  2. Bart, Y.,Stephen, A. T.,Sarvary, M.(2014).Which products are best suited to mobile advertising? A field study of mobile display advertising effects on consumer attitudes and intentions.Journal of Marketing Research,51(3),270-285.
  3. Blaise, R.,Halloran, M.,Muchnick, M.(2018).Mobile Commerce Competitive Advantage: A Quantitative Study of Variables that Predict M-Commerce Purchase Intentions.Journal of Internet Commerce,17(2),96-114.
  4. Carlsson, C.,Carlsson, J.,Hyvonen, K.,Puhakainen, J.,Walden, P.(2006).Adoption of mobile devices/services-searching for answers with the UTAUT.Proceedings of the 39th Annual Hawaii International Conference on System Sciences,Hawaii:
  5. Chen, K. Y.,Chang, M. L.(2013).User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model.The Service Industries Journal,33(6),609-623.
  6. Cheong, Y.,de Gregorio, F.,Kim, K.(2017).Viewer perceptions of television commercials: a conceptual replication.Journal of Consumer Marketing,34(7),612-623.
  7. Cheung, M. F. Y.,To, W. M.(2017).The influence of the propensity to trust on mobile users' attitudes toward in-app advertisements: An extension of the theory of planned behavior.Computers in Human Behavior,76,102-111.
  8. Choi, H.,Kelley, L.,Reid, L. N.,Uhrick, J.,Kuo, K.(2018).Judgments of Highly Creative Advertising: Presence of Functional Matching and the FCB Planning Model in Clio-Winning Advertisements.Creativity Research Journal,30(2),152-163.
  9. Cronbach, L, J.(1984).Essentials of psychological testing.New York:Harper & Row.
  10. Danaher, P. J.,Smith, M. S.,Ranasinghe, K.,Danaher, T. S.(2015).Where, When, and How Long: Factors That Influence the Redemption of Mobile Phone Coupons.Journal of Marketing Research,52(5),710-725.
  11. Dao, T. H.,Jeong, S. J.,Ahn, H.(2012).A novel recommendation model of location-based advertising: Context-Aware Collaborative Filtering using GA approach.Experts Systems with Applications,39,3731-3739.
  12. Davis, F. D.(1989).Perceived usefulness, perceived ease of use, and user acceptance of information technology.MIS quarterly,13(3),319-340.
  13. Dhar, S.,Varshney, U.(2011).Challenges and Business Models for Mobile Location-based Service and Advertising.Communication of the ACM,54(5),121-129.
  14. Drossos, D.,Fouskas, K. G.(2010).Mobile advertising: Product involvement and its effect on intention to purchase.Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), 2010 Ninth International Conference,Athens, Greece:
  15. eMarketer (2015), “Mobile Ad Spend to Top $100 Billion Worldwide in 2016, 51% of Digital Market”, From: http://www.emarketer.com/Article/Mobile-Ad-Spend-Top-100-Billion-Worldwide-2016-51-ofDigital-Market/1012299
  16. Fabrigar, L. R.,Wegener, D. T.,MacCallum, R. C.,Strahan, E. J.(1999).Evaluating the use of exploratory factor analysis in psychological research.Psychological Methods,4,272-299.
  17. Fong, N. M.,Fang, Z.,Luo, X.(2015).GeoConquesting: Competitive Locational Targeting of Mobile Promotions.Journal of Marketing Research,52,726-735.
  18. Forbes Insights (2016), “Location, a strategic marketing imperative”. From: www.forbes.com/sites/forbespr/2016/03/23/location-based-marketing-is-fast-becoming-essentialto-remain-competitive-says-new-study/#44f6e71e1b07
  19. Gan, B.,Menkhoff, T.,Smith, R.(2015).Enhancing students’ learning process through interactive digital media: New opportunities for collaborative learning.Computers in Human Behavior,51(B),652-663.
  20. Ghose, A.,Li, B.,Liu, S.(2019).Mobile Targeting Using Customer Trajectory Patterns.Management Science
  21. Grewal, D.,Bart, Y.,Spann, M.,Zubcsek, P. P.(2016).Mobile Advertising: A Framework and Research Agenda.Journal of Interactive Marketing,34,3-14.
  22. Gutierrez, A.,O'Leary, S.,Rana, N. P.,Dwivedi, Y. K.,Calle, T.(2019).Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor.Computers in Human Behavior,95,295-306.
  23. Haghirian, P.,Madlberger, M.(2005).Consumer attitude toward advertising via mobile devices-An empirical investigation among Austrian users.Proceedings of ECIS
  24. Izquierdo-Yusta, A.,Olarte-Pascual, C.,Reinares-Lara, E.(2015).Attitudes toward mobile advertising among users versus non-users of the mobile Internet.Telematics and Informatics,32(2),355-366.
  25. Ketelaar, P. E.,Bernritter, S. F.,Riet, J. V.,Hühn, A. E.,van Woudenberg, T. J.,Müller, B. C. N.,Janssen, L.(2017).Disentangling location-based advertising: the effects of location congruency and medium type on consumers' ad attention and brand choice.International Journal of Advertising,36(2),356-367.
  26. Kotler, P.(2003).Marketing Management.Upper Saddle River, New Jersey:Prentice Hall.
  27. Koutsiouris, V.,Vrechopoulos, A.,Doukidis, G.(2016).Classifying, Profiling and Predicting User Behavior in the Context of Location Based Service.Journal of Electronic Commerce Research,17(4),340-357.
  28. Lee, Y. C.(2018).Comparing factors affecting attitudes toward LBA and SoLoMo advertising.Information System E-Business Management,16,357-381.
  29. Limpf, N.,Voorveld, H. A. M.(2015).Mobile Location-Based Advertising: How Information Privacy Concerns Influence Consumers’ Attitude and Acceptance.Journal of Interactive Advertising,15(2),111-123.
  30. Lin, K. H.,Huang, K. F.,Chang, Y. Y.,Jheng, C. H.(2013).Potential Consumers' Intentions to Use LBS in Taiwan.International Journal of Mobile Communications,11(6),636-655.
  31. Lin, T. T. C.,Bautista, J. R.(2018).Content-related factors influence perceived value of location-based mobile advertising.Journal of Computer Information Systems
  32. Maruping, L. M.,Bala, H.,Venkatesh, V.,Brown, S. A.(2017).Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology.Journal of the Association for Information Science and Technology,68(3),623-637.
  33. Mortimer, K.(2002).Integrating advertising theories with conceptual models of services advertising.Journal of Services Marketing,16(5),460-468.
  34. Okazaki, S.,Li, H.,Hirose, M.(2009).Consumer privacy concerns and preference for degree of regulatory control.Journal of Advertising,38(4),63-77.
  35. Park, T.,Shenoy, R.,Salvendy, G.(2008).Effective Advertising on Mobile Phones: A Literature Review and Presentation of Results from 53 Case Studies.Behaviour and Information Technology,27(5),355-373.
  36. Peng, W.,Yuan, S.,Ma, W.(2018).Moderating effects of app type on the intention of continued use of mobile apps among college students.International Journal of Mobile Communications,16(6),715-734.
  37. Rahimi, S. M.,Wang, X.,Far, B.(2017).Behavior-based location recommendation on location-based social networks.Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),Jeju, Republic of Korea:
  38. Rosenkrans, G.,Myers, K.(2018).Optimizing Location-Based Mobile Advertising Using Predictive Analytics.Journal of Interactive Advertising,18(1),43-54.
  39. Schade, M.,Piehler, R.,Warwitz, C.,Burmann, C.(2018).Increasing consumers’ intention to use location-based advertising.Journal of Product & Brand Management,27(6),661-669.
  40. Schade, M.,Piehler, R.,Warwitz, C.,Burmann, C.(2017).Antecedents of the Intention to Use Location-Based-Advertising: Advertising Value, Privacy Concerns, and the Role of Brand Trust: An Abstract.Marketing at the Confluence between Entertainment and Analytics, Developments in Marketing Science: Proceedings of the Academy of Marketing Science,Cham:
  41. Shareef, M. A.,Dwivedi, Y. K.,Kumar, V.,Kumar, U.(2017).Content design of advertisement for consumer exposure: Mobile marketing through short messaging service.International Journal of Information Management,37,257-268.
  42. Shieh, C. H.,Hsieh, I. H.(2016).The Effects of Location-based Mobile Marketing between Push and Pull on Usage Intentions.Journal of Advances in Information Technology,7(2),134-139.
  43. Shieh, C. H.,Xu, Y.,Ling, I. L.(2019).How location-based advertising elicits in-store purchase.Journal of Services Marketing,33(4),380-395.
  44. 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.
  45. Sim, J. J.,Kong, F. M.,Lee, V. H.,Tan, G. W. H.,Teo, A. C.(2012).Determining factors affecting broadband services adoption? An empirical analysis of Malaysian consumers.International Journal of Services, Economics and Management,4(3),236-251.
  46. Statista Research Department (2017), “Digital advertising spending in the united states from 2011 to 2019, by channel”. From: https://www.statista.com/statistics/260279/digital-advertising-spending-in-the-us-by-channel/
  47. Stewart, S. J.,Oliver, G. E.,Cravens, S. K.,Oishi, S.(2017).Managing millennials: Embracing generational differences.Business Horizons,60(1),45-54.
  48. Sun, Y.,Lim, K. H.,Jiang, C.,Peng, J. Z.,Chen, X.(2010).Do males and females think in the same way? An empirical investigation on the gender differences in Web advertising evaluation.Computers in Human Behavior,26(6),1614-1624.
  49. Unni, R.,Harmon, R.(2007).Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising.Journal of Interactive Advertising,7(2),28-40.
  50. Vatanparast, R.,Asil, M.(2007).Factors Affecting the Use of Mobile Advertising.International Journal of Mobile Marketing,2(2),21-34.
  51. Vaughn, R.(1980).How Advertising Works: A Planning Model.Journal of Advertising Research,20(5),27-33.
  52. Venkatesh, V.,Davis, F. D.(2000).A theoretical extension of the technology acceptance model: Four longitudinal field studies.Management Science,46(2),186-204.
  53. Venkatesh, V.,Morris, M. G.,Davis, G. B.,Davis, F. D.(2003).User acceptance of information technology: Toward a unified view.MIS Quarterly,27(3),425-478.
  54. Wang, W.,Yang, L. L.,Zhang, Q.(2015).Privacy preservation in location-based advertising: A contract-based approach.Computer Networks,93,213-224.
  55. Wong, C. H.,Lee, H. S.,Lim, Y. H.,Chua, B. H.,Tan, G. W. H.(2012).Predicting the consumers’ intention to adopt mobile shopping: an emerging market perspective.Intetnational Journal of Network Mobile Technology,3(3),24-39.
  56. Wong, C. H.,Tan, G. W. H.,Tan, B. I.,Ooi, K. B.(2015).Mobile advertising: the changing landscape of the advertising industry.Telematics and Informatics,32(4),720-734.
  57. Wu, Y. L.,Tao, Y. H.,Yang, P. C.(2007).Using UTAUT to explore the behavior of 3G mobile communication users.Proceeding of 2007 IEEE International Conference on Industrial Engineering and Engineering Management,Singapore:
  58. Xu, D. J.,Liao, S. S.,Li, Q.(2008).Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications.Decision Support Systems,44(3),710-724.
  59. Xu, H.,Gupta, S.(2009).The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services.Electronic Markets,19(2-3),137-149.
  60. Xu, H.,Teo, H. H.(2005).Privacy considerations in location-based advertising.Designing Ubiquitous Information Environments: Socio-Technical Issues and Challenges, The International Federation for Information Processing, Vol. 185,Boston, MA:
  61. Zha, X.,Li, J.,Yan, Y.(2015).Advertising value and credibility transfer: attitude towards web advertising and online information acquisition.Behaviour & Information Technology,34(5),520-532.
  62. Zhu, D. H.,Sun, H.,Chang, Y. P.(2017).How the content of location-based advertisings influences consumers’ store patronage intention.Journal of Consumer Marketing,34(7),603-611.
被引用次数
  1. 簡子文(2023)。民眾為何不願意使用數位政府?一個 Q 方法論的探討。管理資訊計算,12(特刊2),64-73。