E-commerce use in urbanising China: the role of normative social influence

References

• Ajzen, I. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50: 179–211. doi: 10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Bearden, W., S. E. Calcich, R. Netemeyer, and J. E. Teel. 1986. “An Exploratory Investigation of Consumer Innovativeness and Interpersonal Influences.” Advances in Consumer Research 13: 77–82.
   Google Scholar
• Bélanger, F., and L. Carter. 2009. “The Impact of the Digital Divide on E-Government Use.” Communications of the ACM 52: 132–135. doi: 10.1145/1498765.1498801
   Web of Science ®Google Scholar
• Bhattacherjee, A. 2000. “Acceptance of E-Commerce Services: The Case of Electronic Brokerages.” IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 30: 411–420. doi: 10.1109/3468.852435
   Web of Science ®Google Scholar
• Chan, K. W. 2013. “China, Internal Migration.” In The Encyclopedia of Global Human Migration, edited by I. Ness and P. Bellwood. Hoboken: Blackwell.
   Google Scholar
• Chen, J., S. Chen, P. F. Landry, and D. S. Davis. 2014. “How Dynamics of Urbanization Affect Physical and Mental Health in Urban China.” The China Quarterly 220: 988–1011.
   Google Scholar
• Chen, J., D. S. Davis, K. Wu, and H. Dai. 2015. “Life Satisfaction in Urbanizing China: The Effect of City Size and Pathways to Urban Residency.” Cities 49: 88–97. doi: 10.1016/j.cities.2015.07.011
   Web of Science ®Google Scholar
• Cheung, C. M. K., and M. K. O. Lee. 2006. “Understanding Consumer Trust in Internet Shopping: A Multidisciplinary Approach.” Journal of the American Society for Information Science and Technology 57: 479–492. doi: 10.1002/asi.20312
   Web of Science ®Google Scholar
• Chung, K. C. 2014. “Gender, Culture and Determinants of Behavioural Intents to Adopt Mobile Commerce among the Y Generation in Transition Economies: Evidence from Kazakhstan.” Behaviour & Information Technology 33: 743–756. doi: 10.1080/0144929X.2013.805243
   Web of Science ®Google Scholar
• CINIC (China Internet Network Information Center). 2015. Statistical Report on Internet Development in China. http://www1.cnnic.cn/IDR/ReportDownloads/201507/P020150720486421654597.pdf.
   Google Scholar
• Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13: 319–340. doi: 10.2307/249008
   Web of Science ®Google Scholar
• Dewan, S., and F. J. Riggins. 2005. “The Digital Divide: Current and Future Research Directions.” Journal of the Association for Information Systems 6: 298–336.
   Google Scholar
• Fishbein, M., and I. Ajzen. 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
   Google Scholar
• Fong, M. W. L. 2009. “Digital Divide Between Urban and Rural Regions in China.” The Electronic Journal on Information Systems in Developing Countries 36: 1–12.
   Google Scholar
• Harter, G., J. Sinha, A. Sharma, and S. Dave. 2010. Sustainable Urbanization: The Role of ICT in City Development. New York: Booz & Company.
   Google Scholar
• Howard, P. E. N., L. Rainie, and S. Jones. 2001. “Days and Nights on the Internet: The Impact of a Diffusing Technology.” American Behavioral Scientist 45: 383–404. doi: 10.1177/00027640121957259
   Web of Science ®Google Scholar
• Hsu, M.-H., and C.-M. Chiu. 2004. “Internet Self-Efficacy and Electronic Service Acceptance.” Decision Support Systems 38: 369–381. doi: 10.1016/j.dss.2003.08.001
   Web of Science ®Google Scholar
• Kim, Y. A., and J. Srivastava. 2007. “Impact of Social Influence in E-Commerce Decision Making.” In Proceedings of the Ninth International Conference on Electronic Commerce, 293–302. New York http://dl.acm.org/citation.cfm?id=1282157.
   Google Scholar
• Landry, P. F., and M. Shen. 2005. “Reaching Migrants in Survey Research: The Use of the Global Positioning System to Reduce Coverage Bias in China.” Political Analysis 13: 1–22. doi: 10.1093/pan/mpi001
   Web of Science ®Google Scholar
• Lee, M. K. O., C. M. K. Cheung, C. L. Sia, and K. H. Lim. 2006. “How Positive Informational Social Influence Affects Consumers’ Decision of Internet Shopping?” In Proceedings of the 39th Hawaii international conference on System Sciences. Hawaii.
   Google Scholar
• Lee, M. K. O., N. Shi, C. M. K. Cheung, K. H. Lim, and C. L. Sia. 2011. “Consumer's Decision to Shop Online: The Moderating Role of Positive Informational Social Influence.” Information & Management 48: 185–191. doi: 10.1016/j.im.2010.08.005
   Web of Science ®Google Scholar
• Liu, Y., S. He, F. Wu, and C. Webster. 2010. “Urban Villages Under China's Rapid Urbanization: Unregulated Assets and Transitional Neighbourhoods.” Habitat International 34: 135–144. doi: 10.1016/j.habitatint.2009.08.003
   Web of Science ®Google Scholar
• Li, Q., and Z. Liu. 2008. “The Role of Social Referents in Consumer' E-Commerce Adoption in China.” In Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing. Dalian.
   Google Scholar
• Lu, X., and M. S. H. Heng. 2009. “Cultural Influence on IS Practices in CHINA: A Literature Analysis.” Journal of Global Information Technology Management 12: 6–24. doi: 10.1080/1097198X.2009.10856501
   Google Scholar
• Ministry of Commerce of China. 2012. Report on E-Commerce Development in China. http://news.xinhuanet.com/english/bilingual/2012-05/30/c_131620806.htm.
   Google Scholar
• Moore, G. C., and I. Benbasat. 1996. “Integrating Diffusion of Innovations and Theory of Reasoned Action Models to Predict Utilization of Information Technology by End-Users.” In Diffusion and Adoption of Information Technology, edited by K. Kautz and J. Pries-Heje, 132–146. Laxenburg: The International Federation for Information Processing.
   Google Scholar
• National Bureau of Statistics of China. 2011. National Standard Definition of Urban and Rural. http://www.stats.gov.cn/tjbz/cxfldm/2011/index.html.
   Google Scholar
• National Bureau of Statistics of China. 2012a. China Population Census 2010. http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm.
   Google Scholar
• National Bureau of Statistics of China. 2012b. China Development Report 2012. Beijing: China Statistical Press.
   Google Scholar
• National Bureau of Statistics of China. 2015. China Statistical Yearbook 2015. Beijing: China Statistical Press.
   Google Scholar
• Oakes, W. 1972. “External Validity and the Use of Real People as Subjects.” The American Psychologist 27: 959–962. doi: 10.1037/h0033454
   Web of Science ®Google Scholar
• Pahnila, S., and J. Warsta. 2010. “Online Shopping Viewed from a Habit and Value Perspective.” Behaviour & Information Technology 29: 621–632. doi: 10.1080/0144929X.2010.501115
   Web of Science ®Google Scholar
• Peterson, R. A. 2001. “On the Use of College Students in Social Science Research: Insights from a Second-Order Meta-Analysis.” Journal of Consumer Research 28: 450–461. doi: 10.1086/323732
   Web of Science ®Google Scholar
• Pires, G., J. Stanton, and A. Eckford. 2004. “Influences on the Perceived Risk of Purchasing Online.” Journal of Consumer Behaviour 4: 118–131. doi: 10.1002/cb.163
   Google Scholar
• Rodríguez Del Bosque, I., and Á. H. Crespo. 2011. “How Do Internet Surfers Become Online Buyers? An Integrative Model of E-Commerce Acceptance.” Behaviour & Information Technology 30: 161–180. doi: 10.1080/01449291003656362
   Web of Science ®Google Scholar
• Rogers, E. M. 2003. Diffusion of Innovations. 5th ed. New York: Free Press.
   Google Scholar
• Schepers, J., and M. Wetzels. 2007. “A Meta-Analysis of the Technology Acceptance Model: Investigating Subjective Norm and Moderation Effects.” Information & Management 44: 90–103. doi: 10.1016/j.im.2006.10.007
   Web of Science ®Google Scholar
• Schultz, D. P. 1969. “The Human Subject in Psychological Research.” Psychological Bulletin 72: 214–228. doi: 10.1037/h0027880
   PubMed Web of Science ®Google Scholar
• Sears, D. O. 1986. “College Sophomores in the Laboratory: Influences of a Narrow Data Base on Social Psychology's View of Human Nature.” Journal of Personality and Social Psychology 51: 515–530. doi: 10.1037/0022-3514.51.3.515
   Web of Science ®Google Scholar
• Sinha, R., and K. Swearingen. 2001. Comparing Recommendations Made by Online Systems and Friends. DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries.
   Google Scholar
• Song, J., and F. M. Zahedi. 2005. “A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model.” Management Science 51: 1219–1235. doi: 10.1287/mnsc.1050.0427
   Web of Science ®Google Scholar
• Van Slyke, C., H. Lou, F. Belanger, and V. Sridhar. 2010. “The Influence of Culture on Consumer-Oriented Electronic Commerce Adoption.” Journal of Electronic Commerce Research 11: 30–40.
   Web of Science ®Google Scholar
• Venkatesh, V., and F. D. Davis. 2000. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.” Management Science 46: 186–204. doi: 10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Waheed, M., K. Kaur, N. Ain, and S. A. Sanni. 2015. “Emotional Attachment and Multidimensional Self-Efficacy: Extension of Innovation Diffusion Theory in the Context of eBook Reader.” Behaviour & Information Technology 34: 1147–1159. doi: 10.1080/0144929X.2015.1004648
   Web of Science ®Google Scholar
• Xiang, B., 2000. Transcending Boundaries-Zhejiangcun: The Story of a Migrant Village in Beijing. Beijing: Joint.
   Google Scholar
• Yao, X., and C. Watanabeb. 2008. “Co-evolution Between Economic Growth, Educational Development, and Urbanization in China: The Triggering Role of Informatization.” Asian Journal of Technology Innovation 16: 23–44. doi: 10.1080/19761597.2008.9668645
   Web of Science ®Google Scholar
• Yeh, A. G. O., X. Xu, and K. Liu. 2011. China's Post-reform Urbanization: Retrospect, Policies and Trends. International Institute for Environment and Development (IIED) and United Nations Population Fund (UNFPA).
   Google Scholar
• Zhang, L. 2001. Strangers in the City: Reconfigurations of Space, Power, and Social Networks Within China's Floating Population. Palo Alto, CA: Stanford University Press.
   Google Scholar
• Zhu, S., and J. Chen. 2013. “The Digital Divide in Individual E-Commerce Utilization in China: Results from a National Survey.” Information Development 29: 69–80. doi: 10.1177/0266666912450168
   Web of Science ®Google Scholar
• Zhu, J. J., and E. Wang. 2005. “Diffusion, Use, and Effect of the Internet in China.” Communications of the ACM 48: 49–53. doi: 10.1145/1053291.1053317
   Web of Science ®Google Scholar