Modeling the user acceptance of long-term evolution (LTE) services

Annales des Telecommunications/Annals of Telecommunications

Volumn 68, Issue 5-6, 2013, Pages 307-315

  Park, Eunil ^a   Del Pobil, Angel P ^a,b  

^a Sungkyunkwan University   (South Korea)

^b UNIVERSITAT JAUME I   (Spain)

Author keywords

Long term evolution (LTE); Service quality; System satisfaction; Technology acceptance

Indexed keywords

INTEGRATED FRAMEWORKS; INTEGRATED MODELS; PERCEIVED USEFULNESS; SERVICE QUALITY; STRUCTURAL EQUATION MODELING; SYSTEM SATISFACTION; TECHNOLOGY ACCEPTANCE; WEB-BASED SURVEYS;

ELECTRICAL ENGINEERING; LONG TERM EVOLUTION (LTE);

QUALITY OF SERVICE;

EID: 84879120353     PISSN: 00034347     EISSN: 19589395     Source Type: Journal    
DOI: 10.1007/s12243-012-0324-9     Document Type: Article

References (82)

1. Dahlman E, Parkvall S, Skold J (2001) 4 G LTE/LTE-advanced for mobile broadband. Academic, Oxford, UK
2. Rumney, M.: LTE and the evolution to 4 G wireless: design and measurement challenges. Agilent Technologies, Padstow, Cornwall, UK (2009).
3. Seoul Finance: three telecommunication companies have finished successful national LTE networks, available at: http://www.seoulfn.com/news/articleView. html?idxno = 131027 (accessed 5 May 2012).
4. Bieber G, Voskamp J, Urban B (2009) Activity recognition for everyday life on mobile phones. Lecture Notes in Computer Science 5615:289-296
5. Kim G, Shin B, Lee HG (2009) Understanding dynamics between initial trust and usage intentions of mobile banking. Inf Syst J 19(3):283-311
6. Luo X, Li H, Zhang J, Shim JP (2010) Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decis Support Syst 49(2):222-234
7. Zhou T, Lu Y, Wang B (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Comput Hum Behav 26(4):760-767
8. Evans C (2008) The effectiveness of m-learning in the form of podcast revision lectures in higher education. Comput Educ 50(2):491-498
9. Wang YS, Wu MC, Wang HY (2009) Investigating the determinants and age and gender differences in the acceptance of mobile learning. Br J Educ Technol 40(1):92-118
10. Balocco R, Mogre R, Toletti G (2009) Mobile internet and SMEs: a focus on the adoption. Industrial Management & Data Systems 109(2):245-261
11. Kuo Y, Yen S (2009) Towards an understanding of the behavioral intention to use 3 G mobile value-added services. Comput Hum Behav 25(1):103-110
12. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425-478
13. 3rd Generation Partnership Project: 3GPP long term evolution, available at: http://www.3gpp.org (accessed 10 May 2012).
14. Astely D, Dahlman E, Furuskar A, Jading Y, Lindstrom M, Parkvall S (2009) LTE: the evolution of mobile broadband. IEEE Commun Mag 47(4):44-51
15. Khan F (2009) LTE for 4 G mobile broadband: air interface technologies and performance. Cambridge University Press, New York, NY
16. Sesia S, Toufik I, Baker M (2009) LTE-the UMTS long term evolution: from theory to practice. Wiley Publishing, Hoboken, NJ
17. Pospishny I, Vasyuk V, Romanchyk S, Dovzhenko O, Shvaichenko V (2010) 3GPP long term evolution (LTE), Proceedings of the 2010 International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET 2010), p. 192
18. Wikipedia.org-3GPP long term evolution: 3GPP long term evolution, available at: http://en.wikipedia.org/wiki/3GPP-Long-Term-Evolution (accessed at 10 May 2012).
19. Khandekar A, Bhushan N, Ji T, Vanghi V (2010) LTE-advanced: heterogeneous networks, Proceedings of the 2010 European Wireless Conference (EW'10), pp. 978-982.
20. Martin-Sacristan D, Monserrat JF, Cabrejas-Penuelas J, Calabuig D, Garrigas S, Cardona N (2009) On the way towards fourth-generation mobile: 3GPP LTE and LTE-advanced. EURASIP J Wirel Commun Netw 2009:1-10
21. Davis F (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319-340
22. Davis FD (1993) User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies 38(3):475-487
23. Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8):982-1003
24. Cheong JH, Park M (2005) Mobile Internet acceptance in Korea. Internet Research 15(2):125-140
25. Heijden H (2004) User acceptance of hedonic information systems. MIS Q 23(4):695-704
26. Kanda T, Hirano T, Eaton D, Ishiguro H (2003) Person identification and interaction of social robots by using wireless tags, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '03), pp. 1657-1664
27. Kanda T, Hirano T, Eaton D, Ishiguro H (2004) Interactive robots as social partners and peer tutors for children: a field trial. Hum Comput Interact 19(1):61-84
28. Huang JH, Lin YR (2007) Elucidating user behavior of mobile learning. Electron Libr 25(5):585-598
29. Wang C, Lo S, Fang W (2008) Extending the technology acceptance model to mobile telecommunication innovation: the existence of network externalities. J Consum Behav 7(2):101-110
30. Wu J, Wang S, Lin L (2007) Mobile computing acceptance factors in the healthcare industry: a structural equation model. International Journal of Medical Informatics 76(1):66-77
31. Shin D (2007) User acceptance of mobile Internet: implication for convergence technologies. Interacting with Computers 19(4):472-483
32. Mallat N, Rossi M, Tuunainen VK, Oorni A. (2006) The impact of use situation and mobility on the acceptance of mobile ticketing services, Proceedings of the 39th Annual Hawaii International Conference on System Sciences, pp. 42-51.
33. Chen L (2008) A model of consumer acceptance of mobile payment. Int J Mob Commun 6(1):32-52
34. Wu J, Wang S (2005) What drives mobile commerce?: an empirical evaluation of the revised technology acceptance model. Inf Manag 42(5):719-729
35. Park E, Kim KJ, Jin D, del Pobil AP (2012) Towards a successful mobile map service: an empirical examination of technology acceptance model. Communications in Computer and Information Science 293:420-428
36. Luana P, Lin H (2005) Toward an understanding of the behavioral intention to use mobile banking. Comput Hum Behav 21(6):873-891
37. Heerink M, Kröse BJA, Wielinga BJ, Evers V (2009) Measuring acceptance of an assistive social robot. Proceedings of Ro-man 2009:528-533
38. Lin H (2009) Examination of cognitive absorption influencing the intention to use a virtual community. Behaviour & Information Technology 28(5):421-431
39. Teo H, Chan H, Wei K, Zhang Z (2003) Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. Int J Hum Comput Stud 59(5):671-697
40. Shin D, Choo H (2011) Modeling the acceptance of socially interactive robotics: social presence in human-robot interaction. Interact Stud 12(3):430-460
41. Heerink M, Ben K, Evers V, Wielinga B (2008) The influence of social presence on acceptance of a companion robot by older people. Journal of Physical Agents 2(2):33-40
42. Yoo B, Donthu N (2001) Developing a scale to measure the perceived quality of an Internet shopping site (Sitequal). Quarterly Journal of Electronic Commerce 2(1):31-46
43. Pagani M (2006) Determinants of adoption of high speed data services in the business market: evidence for a combined technology acceptance model with task technology fit model. Inf Manag 43(7):847-860
44. Buss DB (1987) Selection, evocation and manipulation. J Personal Soc Psychol 53(6):1214-1221
45. Delone WH, McLean ER (1992) Information systems success. The quest for the dependent variable. Inf Syst Res 3(1):60-95
46. McFarland DJ, Hamilton D (2006) Adding contextual specificity to the technology acceptance model. Comput Hum Behav 22(3):427-447
47. Ahn T, Ryu S, Han I (2007) The impact of Web quality and playfulness on user acceptance of online retailing. Inf Manag 44(3):263-275
48. Lederer A, Maupin DJ, Sena MP, Zhuang Y (2000) The technology acceptance model and the World Wide Web. Decis Support Syst 29(3):269-282
49. Liao Z, Cheung MT (2011) Internet-based e-shopping and consumer attitudes: an empirical study. Inf Manag 38(5):299-306
50. Srinivasan A (1985) Alternative measures of system effectiveness: associations and implications. MIS Q 9(3):243-253
51. Lai TL (2004) Service quality and perceived value's impact on satisfaction, intention and usage of short message service (SMS). Inf Syst Front 6(4):353-368
52. Nysveen H, Pederson PE, Thorbjornsen H. Explaining intention to use mobile chat services: moderating effects of gender, Journal of Consumer Marketing 22(5):247-256
53. Bhattacherjee A (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Q 25(3):351-370
54. Bitner MJ (1990) Evaluating service encounters: the effects of physical surroundings and employee responses. J Mark 54(2):69-82
55. Chiu CM, Hsu M, Sun S, Lin T, Sun P (2005) Usability, quality, value and e-learning continuance decisions. Comput Educ 45(4):399-416
56. Hayashi A, Chen C, Ryan T, Wu J (2004) The role of social presence and moderating role of computer self-efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Educations 15(2):139-154
57. LaBarbera PA, Mazursky D (1983) A longitudinal assessment of consumer satisfaction/dissatisfaction: the dynamic aspect of the cognitive process. J Mark Res 20(4):393-404
58. Oliver RL (1981) Measurement and evaluation of satisfaction process in retail setting. J Retail 57(3):25-48
59. Roca JC, Chiu CM, Martinez FJ (2006) Understanding e-learning continuance intention: an extension of the technology acceptance model. Int J Hum Comput Stud 64(8):683-696
60. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manag Sci 46(2):186-204
61. Yang Z, Cai S, Zhou Z, Zhou N (2005) Development and validation of an instrument to measure user perceived service quality of information presenting Web portals. Inf Manag 42(4):575-589
62. Yang Z, Jun M, Peterson RT (2004) Measuring customer perceived online service quality: scale development and managerial implications. International Journal of Operations & Production Management 24(11):1149-1174
63. Wolters M, Georgila K, Moore JD, Logie RH, MacPherson SE, Watson M (2009) Reducing working memory load in spoken dialogue systems. Interacting with Computers 21(4):276-287
64. Delone WH, McLean ER (2003) The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 19(4):9-30
65. Lee KC, Chung N (2009) Understanding factors affecting trust in and satisfaction with mobile banking in Korea: a modified DeLone and McLean's model perspective. Interacting with Computers 21(5):385-392
66. Liu C, Arnett KP (2000) Exploring the factors associated with web site success in the context of electronic commerce. Inf Manag 38(1):23-33
67. Schacklett M (2000) Nine ways to create a retail environment on your web site, Credit Union Magazine, pp. 12-13
68. Cronbach LJ (1971) Test validation. In: Thorndike RL (ed) Educational measurement. American Council on Education, Washington, DC, pp 443-507
69. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103(3):411-423
70. Garver MS, Mentzer JT (1999) Logistics research methods: employing structural equation modeling to test for construct validity. J Bus Logist 20(1):33-57
71. Hoe SL (2008) Issues and procedure in adopting structural equation modeling technique. Journal of Applied Quantitative Method 3(1):76-83
72. Hoelter DR (1983) The analysis of covariance structures: goodness-of-fit indices. Sociological Methods and Research 11:325-344
73. Bentler PM, Bonnet DG (1980) Significance tests and goodness-of-fit in the analysis of covariance structure. Psychol Bull 88(3):588-606
74. Seyal AH, Rahman MN, Rahim MM (2002) Determinants of academic use of the Internet: a structural equation model. Behaviour and Information Technology 21(1):71-86
75. Hair JF, Black WC, Babin BJ, Anderson RE (2006) Multivariate data analysis. Prentice Hall, Upper Saddle River, NJ
76. Kline RB (2004) Principles and practice of structural equation modeling. The Guildford Press, New York, NY
77. Fornell C, Larcker D (1981) F.: evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39-50
78. Bentler PM (1990) Comparative fit indices in structural models. Psychol Bull 107(2):238-246
79. Hsu L, Chang K, Chen M (2011) The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. Information Systems and E-Business Management 10:1-22
80. Tseng F, Lo H (2011) Antecedents of consumers' intentions to upgrade their mobile phones. Telecommunications Policy 35(1):74-86
81. Kim S, Garrison G (2009) Investigating mobile wireless technology adoption: an extension of the technology acceptance model. Inf Syst Front 11(3):323-333
82. Qi J, Li L, Li Y, Shu H (2009) An extension of technology acceptance model: analysis of the adoption of mobile data services in China. Syst Res Behav Sci 26(3):391-407