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A Study on Factors Affecting the Adoption of LTE Mobile Communication Service: The Case of South Korea

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Abstract

Smartphones have a big advantage making infinite expandability possible by downloading new applications consistently through application store. These new devices provide us with multimedia features such as high quality voice calls, listening to music, and internet searching while previously cell phone just executed functions of voice calls, SMS, and PDA. So, recently people’s interest in mobile communication service is on the increase. When 3G service reached the boundary of its capacity due to increase of continuous data volume, LTE and LTE-A was commercialized and is being used. The goal of this study is to find factors affecting the intention to adopt LTE service through a survey conducted in South Korea. The present study focused on the functional dimension including cost, speed, and security, the social dimension including social influence, and the personal dimension including personal innovativeness and self-efficacy to find out their effects on intention to accept LTE service. As a result, our study showed the cost and speed of LTE service were not significant variables. Also, there were no differences between the effects of perceived usefulness, perceived ease of use, and perceived enjoyment on intention to use LTE service.

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References

  1. Ong, J. W., Poong, Y. S., & Ng, T. H. (2008). 3G services adoption among university students: Diffusion of innovation theory. Communications of the IBIMA, 3(16), 114–121.

    Google Scholar 

  2. Azira, E. M., & Omar, S. Z. B. (2013). An acceptance of 4G (Fourth Generation) mobile network in Malaysia. International Journal of Information, 3(8), 232–237.

    Google Scholar 

  3. Carlsson, C., Hyvönen, K., Repo, P., & Walden, P. (2005). Adoption of mobile services across different technologies. In 18th Bled eConference on eIntegration in Action (pp. 1–13).

  4. Park, I. K., & Shin, D. H. (2010). Using the uses and gratifications theory to understand the usage and the gratifications of smartphones. Journal of Communication Science, 10(4), 192–225.

    Google Scholar 

  5. Cho, H. S., Choi, K. S., Nam, C. W., Kim, H. S., & Park, S. W. (2015). Evolution of mobile communication network technology. Telecommunications Review, Special Issue: 30 years of South Korea Mobile Communication (pp. 101–119).

  6. Velmurugan, M. S., & Velmurugan, M. S. (2014). Consumers’ awareness, perceived ease of use toward information technology adoption in 3G mobile phones’ usages in India. Asian Journal of Marketing, 3(1), 1–23.

    Article  Google Scholar 

  7. Ericsson, A. (2014). Interim Ericsson mobility report. Ericsson Mobility, February 2014.

  8. Kim, G. Y., Lee, S. H., & Kim, Y. J. (2015). Trends on 5G communications. Electronics and Telecommunications Trends, 30(1), 1–11.

    Google Scholar 

  9. Lee, G. S., & Seok, W. H. (2011). Current status and prospect of LTE market. Electronics and Telecommunications Trends, 26(4), 152–164.

    Google Scholar 

  10. Belson, D. (2011). Akamai state of the internet report, Q1 2011, Akamai, August 2011.

  11. Mohsin, A., & Shafiq, A. (2012). Towards the selection of future 4G mobile service provider from customers’ perspective. 2012 International Joint Conference on Computer Science and Software Engineering (JCSSE), (pp. 120–125) IEEE.

  12. Lee, S. H., & Kim, S. J. (2011). Digital media smart revolution. Seoul: People Owning the Future.

    Google Scholar 

  13. Park, E., & Del Pobil, A. P. (2013). Modeling the user acceptance of long-term evolution (LTE) services. Annals of Telecommunications, 68(5–6), 307–315.

    Article  Google Scholar 

  14. Jung, J. H., & Kim, Y. K. (2012). An exploration on consumer recognition for advertising communications of the LTE. Journal of Korean Society of Design Science, 25(3), 128–141.

    Google Scholar 

  15. Gu, S. H., Kim, D. W., Park, C. M., & Kim, K. H. (2013). Influence of LTE characteristic and personal innovativeness on LTE smart phone acceptance. Journal of Digital Contents Society, 14(3), 291–301.

    Article  Google Scholar 

  16. Park, E., & Del Pobil, A. P. (2013). Technology acceptance model for the use of tablet PCs. Wireless Personal Communications, 73(4), 1561–1572.

    Article  Google Scholar 

  17. Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research, 15(2), 125–140.

    Article  Google Scholar 

  18. 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.

    Google Scholar 

  19. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.

    Article  Google Scholar 

  20. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  21. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  22. Han, S. I. (2013). A study on the factors affected the using intention of smart phone. Korean Corporation Management Review, 20(3), 107–222.

    Google Scholar 

  23. Park, J. H., & Shin, G. K. (2011). The effect of smartphone’s perceived functional attributes and personal innovativeness on the intention to adopt and actual usage. Korean Business Education Review, 26(5), 191–214.

    Google Scholar 

  24. Phuangthong, D., & Malisawan, S. (2005). A study of behavioral intention for 3G mobile internet technology: Preliminary research on mobile learning. In The Second International Conference on eLearning for Knowledge-Based Society (pp. 4–7).

  25. Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25.

    Article  Google Scholar 

  26. Soon, W. L., Lama, N., Hui, B. C. B., & Luen, W. K. (2013). Joining the new band: factors triggering the intentions of Malaysian college and university students to adopt 4G broadband. Information Management and Business Review, 5(2), 58–65.

    Google Scholar 

  27. Wu, M. Y., Weng, Y. C., & Kao, M. C. (2014). A study of the users’ attitudes and intentions toward 4G WiMax. Research Journal of Applied Sciences, Engineering and Technology, 7(6), 1247–1254.

    Google Scholar 

  28. Yoon, H. S., & Occeña, L. U. I. S. (2014). Impacts of customers’ perceptions on internet banking use with a smart phone. Journal of Computer Information Systems, 54(3), 1–9.

    Google Scholar 

  29. Liu, Y., & Zhou, C. (2010). a citizen trust model for e-government. In 2010 IEEE International Conference on Software Engineering and Service Sciences (pp. 751–754).

  30. Calantone, R. J., Griffith, D. A., & Yalcinkaya, G. (2006). An empirical examination of a technology adoption model for the context of China. Journal of International Marketing, 14(4), 1–27.

    Article  Google Scholar 

  31. Wang, B. R., Park, J. Y., Chung, K., & Choi, I. Y. (2014). Influential factors of smart health users according to usage experience and intention to use. Wireless Personal Communications, 79(4), 2671–2683.

    Article  Google Scholar 

  32. Bae, J. K. (2014). An empirical study on the effect of perceived privacy, perceived security, perceived enjoyment, on continuance usage intention in mobile cloud computing. The e-Business Studies, 15(3), 3–27.

    Article  Google Scholar 

  33. Kim, H. W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3), 567–582.

    Google Scholar 

  34. Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Google Scholar 

  35. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.

    Article  Google Scholar 

  36. Nam, C. S., Bahn, S. W., & Lee, R. (2013). Acceptance of assistive technology by special education teachers: A structural equation model approach. International Journal of Human-Computer Interaction, 29(5), 365–377.

    Article  Google Scholar 

  37. Rawashdeh, A. (2015). Adoption of 4G mobile services from the female student’s perspective: Case of Princess Nora University. Malaysian Online Journal of Educational Technology, 3(1), 12–27.

    Google Scholar 

  38. Nassuora, A. B. (2013). Understanding factors affecting the adoption of m-commerce by consumers. Journal of Applied Sciences, 13(6), 913–918.

    Article  Google Scholar 

  39. Han, S. S., & Choi, S. S. (2012). The effect of handset type and tariff mode on service perception and adoption intention of potential LTE user. Korean Telecommunications Policy Review, 19(4), 1–22.

    Google Scholar 

  40. Park, E., & Kim, K. J. (2013). User acceptance of long-term evolution (LTE) services: An application of extended technology acceptance model. Program: Electronic Library and Information Systems, 47(2), 188–205.

    Article  Google Scholar 

  41. Seo, K. M., Jang, J. H., Kim, N. K., & Jung, J. H. (2011). LTE era, what is changed? LG Business Insight, 1196, 20–25.

    Google Scholar 

  42. Frattasi, S., Fathi, H., Fitzek, F. H. P., Prasad, R., & Katz, M. D. (2006). Defining 4G technology from the users perspective. IEEE Network: The Magazine of Global Internetworking, 20(1), 35–41.

    Article  Google Scholar 

  43. Nasution, R. A., Rudito, P., & Syaharuddin, Z. (2007). technology readiness characteristics of 3G subscribers in Indonesia: A preliminary study (pp. 891–898). IEEE: Portland International Center for Management of Engineering and Technology.

    Google Scholar 

  44. Jhamta, S. K. (2013). 4G user acceptance technology prediction using grey prediction algorithm. International Journal of Computer Science & Engineering Technology, 4(11), 1377–1382.

    Google Scholar 

  45. Zhang, M. Y., Lee, K. H., & Chen, S. C. (2012). Subscriber behavior in adopting 3G value-added services. African Journal of Business Management, 6(3), 1089–1094.

    Google Scholar 

  46. Srisawatsakul, C., & Papasratorn, B. (2013). Factors affecting consumer acceptance mobile broadband services with add-on advertising: Thailand case study. Wireless Personal Communications, 69(3), 1055–1065.

    Article  Google Scholar 

  47. Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J., & Tam, K. Y. (2010). modeling citizen satisfaction with mandatory adoption of an e-government technology. Journal of the Association for Information Systems, 11(10), 519–549.

    Google Scholar 

  48. Ramayah, T., & Suki, N. M. (2006). Intention to use mobile PC among MBA students: Implications for technology integration in the learning curriculum. UNITAR e-Journal, 1(2), 1–10.

    Google Scholar 

  49. Cho, S., & Sung, M. (2007). Integrative analysis on service quality and user satisfaction of wired and mobile internet. Management Science and Financial Engineering, 13(2), 79–97.

    Google Scholar 

  50. Kumar, S. (2013). The moderating factors of 3G user acceptance technology in Shimla (India) using UTAUT model. International Journal of Computer Science & Engineering Technology, 4(6), 670–674.

    Google Scholar 

  51. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

    Article  Google Scholar 

  52. Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0. Hamburg: University of Hamburg.

    Google Scholar 

  53. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  54. Nunnally, J. (1978). Psychometric theory. NY: McGraw-Hill.

    Google Scholar 

  55. Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309.

    Google Scholar 

  56. Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. ACM SigMIS Database, 26(2–3), 42–64.

    Article  Google Scholar 

  57. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Ohio: University of Akron Press.

    Google Scholar 

  58. Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177–195.

    Google Scholar 

  59. Kitchen, P. J., Martin, R., & Che-Ha, N. (2015). Long term evolution mobile services and intention to adopt: A Malaysian perspective. Journal of Strategic Marketing. doi:10.1080/0965254X.2014.1001869.

  60. Li, S., Xing, Q., & Jin, S. (2014). The influence factors of subscriber locked in the era of 4G—A consumer behavior perspective. Seventh International Joint Conference on Computational Sciences and Optimization., 2014, 636–640.

    Google Scholar 

  61. Choi, Y. K., Park, J. W., & Choi, D. C. (2008). A study on the use intention of 3G service: Analyzing the causal relationship between emotional factors, reasonable factors, 3G-VALS. The Journal of Business Education, 20, 167–196.

    Google Scholar 

  62. Singh, S., Singh, D. K., Singh, M. K., & Singh, S. K. (2010). The forecasting of 3G market in India based on revised technology acceptance model. International Journal of Next-Generation Networks, 2(2), 61–68.

    Article  Google Scholar 

  63. Rogers, E. M. (2003). Diffusion of innovations. NY: Simon and Schuster.

    Google Scholar 

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Authors and Affiliations

  1. Department of Management Information System, Chungbuk National University, 1 Chungdae-ro Seowon-Gu, Cheongju, Chungbuk, Korea

    Seong-Taek Park & Hyuk Im

  2. Department of Business Administration, Sunmoon University, 221 Sunmoon-ro Tangjeong-myeon, Asan-si, Chungnam, Korea

    Kyoo-Sung Noh

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  1. Seong-Taek Park
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Correspondence to Kyoo-Sung Noh.

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Park, ST., Im, H. & Noh, KS. A Study on Factors Affecting the Adoption of LTE Mobile Communication Service: The Case of South Korea. Wireless Pers Commun 86, 217–237 (2016). https://doi.org/10.1007/s11277-015-2802-7

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  • DOI: https://doi.org/10.1007/s11277-015-2802-7

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