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Understanding imbedding the apps and seeking connection 24/7

Adoption of ride-sharing apps by Chinese taxi drivers and its implication for the equality and wellbeing in the sharing economy

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Pages 7-24 | Received 26 Dec 2017, Accepted 29 Aug 2018, Published online: 08 Nov 2018

References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
  • Akhter, S. H. (2003). Digital divide and purchase intention: Why demographic psychology matters. Journal of Economic Psychology, 24(3), 321–327.
  • Atkin, D. J., Hunt, D. S., & Lin, C. A. (2015). Diffusion theory in the new media environment: Toward an integrated technology adoption model. Mass Communication and Society, 18(5), 623–650.
  • Atkin, D. J., Neuendorf, K., Jeffres, L. W., & Skalski, P. (2003). Predicators of audience interest in adopting digital television. The Journal of Media Economics, 16(3), 159–173.
  • Belk, R. (2014). You are what you can access: Sharing and collaborative consumption online. Journal of Business Research, 67(8), 1595–1600.
  • Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352–1360.
  • Budner, S. (1962). Intolerance of ambiguity as a personality variable 1. Journal of Personality, 30(1), 29–50.
  • Campbell, S. W., & Kwak, N. (2010). Mobile communication and social capital: An analysis of geographically differentiated usage patterns. New Media & Society, 12(3), 435–451.
  • Chen, L. (2015, September 23). Meet Uber's Mortal Enemy: How Didi Kuaidi defends China's home turf. Forbes, Retrieved from https://www.forbes.com/sites/liyanchen/2015/09/23/meet-ubers-mortal-enemy-how-didi-kuaidi-defends-chinas-home-turf/#2d1ed8f46dce
  • CNNIC. (2014). Statistical report on internet development in China (January 2014). Retrieved from https://cnnic.com.cn/IDR/ReportDownloads/201404/U020140417607531610855.pdf
  • Codagnone, C., & Martens, B. (2016). Scoping the sharing economy: Origins, definitions, impact and regulatory issues. JRC Technical Reports (September), 1–58.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319–340.
  • Deng, Z. (2013). Understanding public users’ adoption of mobile health service. International Journal of Mobile Communications, 11(4), 351–373.
  • Fountain, C. (2005). Finding a job in the internet age. Social Forces, 83(3), 1235–1262.
  • Foxall, G. R., & Bhate, S. (1991). Cognitive style, personal involvement and situation as determinants of computer use. Technovation, 11(3), 183–199.
  • Fleeman, M. (2015, March 17). Taxis to use uber-style apps in Los Angeles. The Huffington Post. Retrieved from https://www.huffingtonpost.com/2015/01/15/taxis-uber-los-angeles_n_6482316.html
  • Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209–221.
  • Harding, S., Kandlikar, M., & Gulati, S. (2016). Taxi apps, regulation, and the market for taxi journeys. Transportation Research Part A: Policy and Practice, 88(C), 15–25.
  • Hargittai, E. (2002). Second-level digital divide: Differences in people’s online skills. First Monday, 7(4).
  • Hargittai E (2008) The digital reproduction of inequality. In D. Grusky (Ed.), Social stratification (pp. 936–944). Boulder, CO: Westview Press.
  • Hargittai, E. (2010). Digital na(t)ives? Variation in Internet skills and uses among members of the “Net Generation.” Sociological Inquiry, 80(1), 92–113.
  • Hargittai, E., & Hsieh, Y. P. (2012). Succinct survey measures of web-use skills. Social Science Computer Review, 30(1), 95–107.
  • Hargittai, E., & Litt, E. (2012). Becoming a tweep: How prior online experiences influence Twitter use. Information, Communication & Society, 15(5), 680–702.
  • Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research, 7(3), 283–295.
  • Hong, J. (2017, August 3). How China's ride-hailing King DiDi is taking over the world before Uber can. Forbes. Retrieved from https://www.forbes.com/sites/jinshanhong/2017/08/03/how-chinas-ride-hailing-king-didi-is-taking-over-the-world-before-uber-can/#dfcd8683fd8c
  • Huang, Z. (2015, January 15). Taxi-hailing apps like Uber are sparking cab driver strikes across China. Quartz. Retrieved from https://qz.com/327117/taxi-hailing-apps-like-uber-are-sparking-cab-driver-strikes-across-china/
  • Hunt, D. S., Lin, C. A., & Atkin, D. J. (2014). Photo-messaging: Adopter attributes, technology factors and use motives. Computers in Human Behavior, 40, 171–179.
  • Hunt, D., Atkin, D., & Krishnan, A. (2012). The influence of computer-mediated communication apprehension on motives for Facebook Use. Journal of Broadcasting & Electronic Media, 56(2), 187–202
  • Jimenez, C. (2017). From telephones in rural Oaxaca to mobile phones among Mixtec farm workers in Oxnard, California. New Media & Society, 19(12), 2059–2074.
  • Kim, M. K., Chang, Y., Wong, S. F., & Park, M. C. (2015). The effect of perceived risks and switching barriers on the intention to use smartphones among non-adopters in Korea. Information Development, 31(3), 258–269.
  • Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly: Management Information Systems, 33(1), 49–70.
  • Lazarsfeld, P., Berelson, B., & Gaudet, H. (1944). The people’s choice: How the voter makes up his mind in a presidential election. New York: Duell, Sloan, & Pearce.
  • Leung, L., & Wei, R. (1999). Who are the mobile phone have-nots? Influences and consequences. New Media & Society, 1(2), 209–226.
  • Leung, L., & Wei, R. (2000). More than just talk on the move: Uses and gratifications of the cellular phone. Journalism & Mass Communication Quarterly, 77, 308–320.
  • Li, X. (2013). Innovativeness, personal initiative, news affinity and news utility as predicators of the use of mobile phones as news devices. Chinese Journal of Communication, 6(3), 350–373.
  • Litt, E., & Hargittai, E. (2014). A bumpy ride on the information superhighway: Exploring turbulence online. Computers in Human Behavior, 36, 520–529.
  • Lin, C. A. (1998). Exploring personal computer adoption dynamics. Journal of Broadcasting & Electronic Media, 42(1), 95–112.
  • Lin, C. (2003). An interactive communication technology adoption model. Communication Theory, 13(4), 345–365.
  • Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85–108.
  • Lin, J. C. C., & Liu, E. S. Y. (2009). The adoption behaviour for mobile video call services. International Journal of Mobile Communications, 7(6), 646–666.
  • Livingstone, S., & Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media & Society, 9(4), 671–696.
  • Mascheroni, G., & Ólafsson, K. (2016). The mobile Internet: Access, use, opportunities and divides among European children. New Media & Society, 18(8), 1657–1679.
  • Mbatha, B. T., Ocholla, D. N., & Roux, J. L. (2011). Diffusion and adoption of ICTs in selected government departments in KwaZulu-Natal, South Africa. Information Development, 27(4), 251–263.
  • Mirani, L. (2014, December 16). The secret to the Uber economy is wealth inequality. Quartz. Retrieved from https://qz.com/312537/the-secret-to-the-uber-economy-is-wealth-inequality/
  • Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11–25.
  • Mou, Y., Wu, K., & Atkin, D. (2016). Understanding the use of circumvention tools to bypass online censorship. New Media & Society, 18(5), 837–856.
  • Nielsen, I., Paritski, O., & Smyth, R. (2010). Subjective well-being of Beijing taxi drivers. Journal of Happiness Studies, 11(6), 721–733.
  • Oh, S., Baek, H., & Ahn, J. (2015). The effect of electronic word–of–mouth (eWOM) on mobile application downloads: an empirical investigation. International Journal of Mobile Communications, 13(2), 136–156.
  • Park, Y. J. (2015). My whole world’s in my palm! The second-level divide of teenagers’ mobile use and skill. New Media & Society, 17(6), 977–995.
  • Rogers, E.M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
  • Russell, J. (2015, February 13). China’s top two taxi apps confirm that they will merge. TechCrunch. Retrieved from https://techcrunch.com/2015/02/13/kuaidi-dache-didi-dache-merge/
  • Schor, J. B. (2017). Does the sharing economy increase inequality within the eighty percent? Findings from a qualitative study of platform providers. Cambridge Journal of Regions, Economy and Society, 10(2), 263–279.
  • Srinuan, C., Srinuan, P., & Bohlin, E. (2012). An analysis of mobile Internet access in Thailand: Implications for bridging the digital divide. Telematics and Informatics, 29(3), 254–262.
  • Suksa-ngiam, W., & Chaiyasoonthorn, W. (2015). The adoption of social media by Thai university students: Multiple group moderating effects. Information Development, 31(1), 69–82.
  • Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11(4), 1104–1127.
  • Valkenburg, P. M., & Peter, J. (2007). Who visits online dating sites? Exploring some characteristics of online daters. CyberPsychology & Behavior, 10(6), 849–852.
  • Van Doorn, N. (2017). Platform labor: on the gendered and racialized exploitation of low-income service work in the ‘on-demand ‘economy. Information, Communication & Society, 20(6), 898–914.
  • Van Deursen, A. J., & Van Dijk, J. A. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526.
  • 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.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
  • Vishwanath, A. (2005). Impact of personality on technology adoption: An empirical model. Journal of the American Society for Information Science and Technology, 56(8), 803–811.
  • Wang, H. J., & Lo, J. (2013). Determinants of citizens’ intent to use government websites in Taiwan. Information Development, 29(2), 123–137.
  • Waldmeir, P. (2015, October 11). China outlines regulations for car-hailing apps. CNBC, Retrieved from https://www.cnbc.com/2015/10/11/china-outlines-regulations-for-car-hailing-apps-uber-didi-kuaidi.html
  • Weenig, M. W., & Midden, C. J. (1991). Communication network influences on information diffusion and persuasion. Journal of Personality and Social Psychology, 61(5), 734.
  • Wei, R. (2001). From luxury to utility: A longitudinal analysis of cell phone laggards. Journalism & Mass Communication Quarterly, 78(4), 702–719.
  • Yaraghi, N., & Ravi, S. (2017). The current and future state of the sharing economy. Retrieved from https://www.brookings.edu/research/the-current-and-future-state-of-the-sharing-economy
  • Yuan, S., Liu, Y., Yao, R., & Liu, J. (2016). An investigation of users’ continuance intention towards mobile banking in China. Information Development, 32(1), 20–34.

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