Mobile advertising setting analysis and its strategic implications

Technology in Society

Volumn 39, Issue , 2014, Pages 129-141

  Chen, Peng Ting ^a   Cheng, Joe Z ^b   Yu, Ya Wen ^c   Ju, Pei Hung ^a  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b Broadband Integration Division HwaCom Systems Inc   (Taiwan)

^c ASIA UNIVERSITY   (Taiwan)

Author keywords

Advertising; Fuzzy Delphi method; Personalized; Personalized mobile advertising; Product characteristics

Indexed keywords

DECISION MAKING; DESIGN; MARKETING; MOBILE DEVICES;

COLLABORATION MODELS; FUZZY DELPHI METHOD; MOBILE ADVERTISEMENT; MOBILE ADVERTISING; PERSONALIZED; PERSONALIZED ADVERTISEMENTS; PRODUCT CHARACTERISTICS; SOCIAL INTERACTIONS;

MOBILE COMMERCE;

ADVERTISING; ELECTRONIC COMMERCE; FUZZY MATHEMATICS; MOBILE COMMUNICATION; SERVICE PROVISION; STRATEGIC APPROACH;

EID: 84914112568     PISSN: 0160791X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techsoc.2014.09.004     Document Type: Article

References (65)

1. Bulander R., Decker M., Schiefer G., Kolmel B. Comparison of different approaches for mobile advertising. Mob Commer Serv 2005, 174-182.
2. Interactive Advertising Bureau [IAB] Platform status report: a mobile advertising overview. Mark Media 2008, 1-21.
3. Park T., Shenoy R., Salvendy G. Effective advertising on mobile phones: a literature review and presentation of results from 53 case studies. Behav Inform Technol 2008, 27(5):355-373.
4. Scharl A., Dickinger A., Murphy J. Diffusion and success factors ofmobile marketing. Electron Commer Res Appl 2005, 4(2):159-173.
5. Huang J.H. Mobile advertising award: location-based services and social community are the key winner 2009, Market Intelligence & Consulting Institute (MIC), Taipei.
6. Sabat H.K. The evolving mobile wireless value chain and market structure. Telecommun Policy 2002, 26(9-10):505-535.
7. Varshney U. Issues, requirements and support for location-intensive mobile commerce applications. Int J Mob Commun 2003, 1(3):247-263.
8. De Reyck B., Degraeve Z. Broadcast scheduling for mobile advertising. Oper Res 2003, 51(4):509-517.
9. Yuan S.T., Tsao Y.W. A recommendation mechanism for contextualized mobile advertising. Expert Syst Appl 2003, 24(4):399-414.
10. Okazaki S. Mobile advertising adoption by multinationals: senior executives' initial responses. Internet Res 2005, 15(2):160-180.
11. Bauer H.H., Reichardt T., Barnes S.J., Neumann M.M. Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study. J Electron Commer Res 2005, 6(3):181-191.
12. Mahmoud Q.H., Yu L. Havana agents for comparison shopping and location-aware advertising in wireless mobile environments. Electron Commer Res Appl 2006, 5(3):220-228.
13. Cleff E.B. Privacy issues in mobile advertising. international review of law. Comput Technol 2007, 21(3):225-236.
14. Okazaki S. Lessons learned from i-mode: what makes consumers click wireless banner ads?. Comput Hum Behav 2007, 23(3):1692-1719.
15. Bamba F., Barnes S.J. SMS advertising, permission and the consumer: a study. Bus Process Manag J 2007, 13(6):815-829.
16. Hsua C., Lub H., Hsu H. Adoption of the mobile internet: an empirical study of multimedia message service (MMS). Omega 2007, 35(6):715-726.
17. Komulainen H., Mainela T., Jaana T., Ulkuniemi P. Retailers' different value perceptions of mobile advertising service. J Serv Manag 2007, 18(4):368-393.
18. Okazaki S., Taylor C.R. What is SMS advertising and why do multinationals adopt it? an empirical study in European markets. J Bus Res 2008, 61(1):4-12.
19. Palka W., Pousttchi K., Wiedemann D.G. Mobile word-of-mouth - a grounded theory of mobile viral marketing. J Inform Technol 2009, 24(2):172-185.
20. Okazaki S., Li H., Hirose M. Consumer privacy concerns and preference for degree of regulatory control: a study of mobile advertising in Japan. J Advert 2009, 38(4):63-77.
21. Gao Q., Rau P.P., Salvendy G. Perception of interactivity: affects of four key variables in Mobile advertising. Int J Hum-Comput Interact 2009, 25(6):479-505.
22. Basheer A.M., Ibrahim A.M. Mobile marketing: examining the impact of trust, privacy concern and consumers' attitudes on intention to purchase. Int J Bus Manag 2010, 5(3):28-41.
23. Banerjee S., Yancey S. Enhancing mobile coupon redemption in fast food campaigns: an international journal. J Res Interact Mark 2010, 4(2):97-110.
24. Catoiu I., Gardan D.A. Romanian consumer perception towards mobile. Ann Univ Apulensis: Ser Oeconomica 2010, 12(2):731-741.
25. Gao Q., Rau P.P., Salvendy G. Measuring perceived interactivity of mobile advertisements. Behav Inform Technol 2010, 29(1):35-44.
26. Dhar S., Varshney U. Challenges and business models For mobile location-based services and advertising. Commun ACM 2011, 54(5):121-129.
27. Lee H.S., Lee C.H., Lee G.H., Kim Y.H., Lee G.B. Analysis of the actual response rates in mobile advertising. Innovat Inform Technol 2006, 1-5.
28. Cisco Cisco visual networking index: global mobile data traffic forecast update 2014, Available from:. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html.
29. Lunden I. Mobile ad revenues will top $11.4 billion in 2013, up 19% on 2012. India, China and display fuelling the boost 2013, Available from:. http://techcrunch.com/2013/01/17/mobile-ad-revenues-will-top-11-4-billion-in-2013-up-19-on-2012-india-china-fuelling-boost-search-ads-diminishing-in-use/.
30. Venkatesh V., Ramesh V., Massey A.P. Understanding usability in mobile commerce. Commun ACM 2003, 46(12):53-56.
31. Xu D.J., Liao S.S., Li Q. Combining empirical experimentation and modeling techniques: a design research approach for personalized mobile advertising applications. Decis Support Syst 2008, 44(3):710-724.
32. Zhang D., Shijagurumayum S. Personalized content delivery to mobile devices. Syst Man Cybern 2003, 5-8(3):2533-2538.
33. Dey A.K., Salber D., Abowd G.D. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum-Comput Interact 2001, 16(2-4):99-116.
34. Cheverst K., Mitchell K., Davies N. Design of an object model for acontext sensitive tourist guide. Comput Graph 1999, 23(6):883-891.
35. Varshney U, Vetter R. A framework for the emerging mobile commerce applications. In: System Sciences, Proceedings of the 34th Annual Hawaii International Conference on 2001.
36. Leppaniemi M., Karjaluoto H. Factors influencing consumers' willingness to accept mobile advertising: a conceptual model. Int J Mob Commun 2005, 3(3):197-213.
37. Vatanparast R. Piercing the fog of mobile advertising. Six Int Conf Manage Bus 2007, 19. (ICMB 2007).
38. Chen P.T., Hsieh H.P. Personalized mobile advertising: its key attributes, trends, and social impact. Technol Forecast Soc Change 2012, 79:543-557.
39. Blattberg R., Peacock P., Sen S. Purchase strategies across product categories. J Consum Res 1976, 3:143-154.
40. Kotler P. Marketing management-analysis, planning, implementation, and control 1996, Prentice Hall International, New Jersey.
41. Kotler P. Marketing management: international edition 20 2002, Pearson Education, New York.
42. Light D.H. A guide for new distribution strategies for service firm. J Mark 1988, 52(3):20-38.
43. Winsor R.D., Sheth J.N., Manolis C. Differentiating goods and services retailing using form and possession utilities. J Bus Res 2004, 57(3):249-255.
44. Zeithaml V.A., Parasuraman A., Berry L.L. Problems and strategies in services marketing. J Mark 1985, 49(2):33-46.
45. Fisk W.J., Mendell M.J., Daisey J.M., Faulkner D., Hodgson A.T., Nematollahi M., et al. Phase 1 of the California health building study: a summary. Indoor Air 1993, 3(4):246-254.
46. Ralph W.J., Lester A.N., Dale A.L. An empirical investigation of the differences in goods and services as perceived by organizational buyers. Ind Mark Manag 1995, 24(2):99-108.
47. Yue P., Jennifer C.S. The differential effects of retail density: an investigation of goods versus service settings. J Bus Res 2011, 64(2):105-112.
48. Bodkin C.D., Perry M. Goods retailers and service providers: comparative analysis of web site marketing communications. J Bus Res 2004, 11(1):19-29.
49. Parasuraman A., Berry L.L., Zeithaml V.A. Servqual: a multiple-item scale for measuring consumer perceptions of service quality. J Retail 1988, 64(1):12-37.
50. Abernethy A.M., Gray J.I., Butler D.D. Radio advertising information strategy: differences between services and products. J Serv Mark 1997, 11(5):344-357.
51. Gao Y.J. New mobile advertising business model - Blyk 2008, Market Intelligence & Consulting Institute (MIC), Taipei.
52. Wang W.H. Mobile advertising deliver service: traffic.com target specific customers 2007, Market Intelligence & Consulting Institute (MIC), Taipei.
53. Huang J.H. Another kind of mobile advertising! Nike's city navigation 2010, Market Intelligence & Consulting Institute (MIC), Taipei.
54. Zhang D. Delivery of personalized & adaptive content to mobile devices: a framework and enabling technology. Commun AIS 2003, 12(13):183-202.
55. Rao B., Minakakis L. Evolution of mobile location-based services. Commun ACM 2003, 46(12):61-65.
56. Dalkey N.C., Helmer O. An experimental application of the Delphi method to the use of experts. Manag Sci 1963, 9(3):458-467.
57. Chang P.C., Wang Y.W. Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry. Expert Syst Appl 2006, 30(4):715-726.
58. Chang I.S., Tsujimura Y., Gen M., Tozawa T. An efficient approach for large scale project planning based on fuzzy Delphi method. Fuzzy Sets Syst 1995, 76(3):277-288.
59. Hwang J.S., Lin G.D. Nonlinear approximation and moment problem 1987, 337-353. World Scientific Publishing Company, Singapore.
60. Kuo Y.F., Chen P.C. Constructing performance appraisal indicators for mobility of the service industries using fuzzy Delphi method. Expert Syst Appl 2008, 35(4):1930-1939.
61. Murry T.J., Pipino L.L., Gigchvan J.P. A pilot study of fuzzy set modification of Delphi. Hum Syst Manag 1985, 5(1):76-80.
62. Kaufmann A., Gupta M.M. Fuzzy mathematical models in engineering and management science 1988, New York: North-Holland.
63. Shen Y.C., Chang S.H., Lin G., Yu H.C. A hybrid selection model for emerging technology. Technol Forecast Soc Change 2010, 77(1):151-166.
64. Lee A., Wang W.M., Lin T.Y. An evaluation framework for technology transfer of new equipment in high technology industry. Technol Forecast Soc Change 2010, 77(1):135-150.
65. Lee M.S., Liu K.N., Ting S.M., Chou J.N. A study on the key success factors of biotechnology industry in Taiwan. Soochow J Econ Bus 2007, 56:27-51.