This study examines people's acceptance of the fifth generation (5G) of wireless and mobile communication technologies at a time when such services and devices were just approaching consumer availability. It utilizes the Technological Acceptance Model to the frame analysis of key perceptions of 5G technology, as well as the social climate surrounding it. Quantitative and qualitative data were gathered from adult samples in China and the United States to assess how they understand and perceive 5G technology. The results show that perceived technological features (e.g., perceptions of usefulness and speed) explain the favorable attitudes and adoption intentions in the two countries, whereas personal privacy concerns explain the negative attitudes and intentions. The results also demonstrate that, while 5G technology was often regarded as an instrument for national elevation in China, we see more concerns about rumored negative effects of the technology on health in the United States.
BarthSde JongMD (2017) The privacy paradox – investigating discrepancies between expressed privacy concerns and actual online behavior – a systematic literature review. Telematics and Informatics34(7): 1038–1058.
2.
BaymN (2015) Personal Connections in the Digital Age, 2nd ed.Cambridge, MA: Polity Press.
3.
BerkerTHartmannMPunieY (2005) Domestication of Media and Technology. New York, NY: McGraw-Hill.
4.
BraunVClarkeV (2012) Thematic analysis. In: APA Handbook of Research Methods in Psychology, Vol. 2: Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological. Washington, DC: American Psychological Association, pp. 57–71.
5.
CampbellSWZhaoFFrithJ, et al. (2021) Imagining 5G: public sense-making through advertising in China and the US. Mobile Media & Communication9(3): 546–562.
ChongAYLKeng-BoonOOIDarmawanN, et al. (2010) Determinants of 3G adoption in Malaysia: a structural analysis. Journal of Computer Information Systems51(2): 71–80.
8.
ChuahSHWRauschnabelPAKreyN, et al. (2016) Wearable technologies: the role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior65: 276–284.
9.
CuiDWuF (2019) The influence of media use on public perceptions of artificial intelligence in China: evidence from an online survey. Information Development37(1): 45–57.
10.
DavisDF (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13(3): 319–340.
11.
DonkAMetagJKohringM, et al. (2012) Framing emerging technologies: risk perceptions of nanotechnology in the German press. Science Communication34(1): 5–29.
FrithJCampbellSKomenL (2023) Looking back to look forward: 5G/COVID-19 conspiracies and the long history of infrastructural fears. Mobile Media & Communication11(2): 174–192.
HammersleyMAtkinsonP (1995) Ethnography: Principles in Practice, 2nd ed.London, UK: Routledge.
16.
HeadrickDRGrisetP (2001) Submarine telegraph cables: business and politics, 1838-1939. Business History Review75(3): 543–578.
17.
HillsJ (2007) Telecommunications and Empire. Champaign, IL: University of Illinois Press.
18.
HoSSScheufeleDACorleyEA (2013) Factors influencing public risk–benefit considerations of nanotechnology: Assessing the effects of mass media, interpersonal communication, and elaborative processing. Public Understanding of Science22(5): 606–623.
19.
HongY (2017) Networking China: The Digital Transformation of the Chinese Economy. Champaign, IL: University of Illinois Press.
20.
HsuCLLinJCC (2008) Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management45(1): 65–74.
KingWRHeJ (2006) A meta-analysis of the technology acceptance model. Information & Management43(6): 740–755.
24.
LeeYKozarKALarsenKRT (2003) The technology acceptance model: past, present, and future. Communications of the Association for Information Systems12(December). DOI: https://doi.org/10.17705/1cais.01250.
25.
LiuJ (2020) Shifting Dynamics of Contention in the Digital Age: Mobile Communication and Politics in China. Oxford, UK: Oxford University Press.
26.
ManisKTChoiD (2019) The virtual reality hardware acceptance model (VR-HAM): extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research100(October 2018): 503–513.
27.
MansellRPlantinJC (2022) Imagining 5G networks: infrastructure and public accountability. International Journal of Communication 16: 1–18.
28.
NguyenDHekmanE (2022) A ‘new arms race’? Framing China and the USA in AI news reporting: a comparative analysis of The Washington Post and South China Morning Post. Global Media and China7(1): 58–77.
29.
ParkEKimKJ (2014) An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telematics and Informatics31(3): 376–385.
30.
ParkYChenJV (2007) Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems107(9): 1349–1365.
VenkateshVDavisFD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science46(2): 186–204.
37.
Villena-ManzanaresFGarcía-SeguraTPellicerE (2020) Organizational factors that drive to BIM effectiveness: Technological learning, collaborative culture, and senior management support. Applied Sciences11(1): 1–16.
38.
WeiLZhangM (2008) The adoption and use of mobile phone in rural China: a case study of Hubei, China. Telematics and Informatics25(3): 169–186..
39.
WirthWvon PapeTKarnowskiV (2008) An integrative model of mobile phone appropriation. Journal of Computer-Mediated Communication13(3): 593–617.
ZhaoY (2010) China’s pursuits of indigenous innovations in information technology developments: hopes, follies and uncertainties. Chinese Journal of Communication3(3): 266–289.
42.
ZuboffS (2015) Big other: surveillance capitalism and the prospects of an information civilization. Journal of Information Technology30(1): 75–89.
