EXAMINING NEW OPPORTUNITIES IN CHICAGO’S RESTAURANT INDUSTRY: THE CORRELATION BETWEEN SOCIAL MEDIA AND CHINESE EATING HABITS IN CHICAGO

Purpose -   This study was designed to investigate the relationship between social media usage and the eating habits of the Chinese population in the Chicago area.  To be more precise, this study provides insight into what kinds of social media affect the Chinese diet in Chicago.  The social media sites included Facebook, Twitter, YouTube, Myspace, LinkedIn, and Chinese social media such as WeChat.   Methodology -   A self-administered online questionnaire survey was designed and used to examine the relationship between the eating habits and social media usage of the Chinese population in the Chicago area.  This study involved the use of a survey that contained three sections.  The first section was a demographic questionnaire.  The second section was a food-related behavior questionnaire based on eating habits studies.  The third section was a social media usage questionnaire constructed from consumer behavior research.  The participants were Chinese individuals who were 18 years or older and living in the Chicago area.  The data were collected through an online self-administered survey www.surveymonkey.com. Statistical Package for the Social Sciences (SPSS) software was used to analyze the data, and an alpha significance level of 0.05 was used.   Findings- Based on the data from the current study, the Chinese population in Chicago is strongly affected by Chinese culture, as 90% speak Chinese and 53.7% eat Chinese food every day.  The researcher found that Chinese diet change in Chicago is significantly influenced by the number of reviews from non-Chinese friends on social media, and diet change has a significant positive correlation with the number of non-Chinese friends.  This confirms that the constructs of interaction and electric word-of-mouth (eWOM) of social media marketing have a significantly positive effect on purchase intentions (Chen, Leu, & Su, 2016).  In this research, the number of food reviews and non-Chinese friends represented social interaction and eWOM level on social media. The results from this research indicate that the market opportunity among the Chinese population in the Chicago area is promising.  Therefore, it is worthwhile for non-Chinese restaurant owners in Chicago to invest in and develop specialized marketing strategies to attract Chinese customers.   Conclusion- Based on a quantitative analysis, this research showed that for the Chinese population in the Chicago area, the more nonChinese friends they had, the more likely it was that their eating habits would change.  This supports that interactions with friends on social media is a contributing factor to differences in eating habits.   

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  • Akar, E., & Topcu, B. (2011). An examination of the factors influencing consumers’ attitudes toward social media marketing. Journal of Internet Commerce, 10(1), 35–67. doi:10.1080/15332861.2011.558456
  • Anderson, B. D. (2008). How social networks influence attitudes: Social and informational effects of attitude heterogeneity and arguments (Doctoral dissertation). Available from ProQuest Dissertations & Theses Full Text. (304594835)
  • Baruah, S. K. (2012, January 30). Govt’s TV digitalization campaign on social media. Hindustan Times. Retrieved from http://www.hindustantimes.com/business/govt-s-tv-digitalization-campaign-on-social-media/story-QHTlwzWUaRRlyaVjianHRP.html
  • Berkman, L. F., & Glass, T. (2000). Social integration, social networks, social support, and health. In L. F. Berkman, & I. Kawachi (Eds.), Social epidemiology (pp. 137–173). New York, NY: Oxford University Press.
  • Bisogni, C. A., Connors, M., Devine, C. M., & Sobal, J. (2002). Who we are and how we eat: A qualitative study of identities in food choice. Journal of Nutrition Education and Behavior, 34(3), 128–139.
  • Boxill, I., Chambers, C. M., & Wint, E. (1997). Introduction to social research: With applications to the Caribbean. Jamaica, West Indes: University of the West Indies Press.
  • Clarke, R. (2014). The prospects for consumer-oriented social media. Organizacija, 47(4), 219–230. doi:10.2478/orga-2014-0024 Donthu, N., & Yoo, B. (1998). Cultural influences on service quality expectations. Journal of Service Research, 1(2), 178–186.
  • Edosomwan, S., Prakasan, S. K., Kouame, D., Watson, J., & Seymour, T. (2011). The history of social media and its impact on business. Journal of Applied Management and Entrepreneurship, 16(3), 79–91.
  • Evans, D. (2010). Social media marketing: An hour a day. Hoboken, NJ: Sybex.
  • Garcia, S. K. (2008). Toward a social network-based theory of large-group interventions (Doctoral dissertation). Available from ProQuest Central, ProQuest Dissertations & Theses Full Text. (304535924)
  • Gifft, H. H., Washbon, M. B., & Harrison, G. (1972). Nutrition, behavior, and change. Englewood Cliffs, NJ: Prentice-Hall.
  • Khan, M. A. (1981). Evaluation of food selection patterns and preferences. Critical Reviews in Food Science and Nutrition, 15(2), 129–153. doi:10.1080/10408398109527314
  • Lee, H. K. (1998). Food habits of Koreans in the United States (Doctoral dissertation). Available from ProQuest Dissertations & Theses Global: Health & Medicine; ProQuest Dissertations & Theses Global: Social Sciences. (304471558)
  • Liu, H., & Lin, L. (2009). Food, culinary identity, and transnational culture: Chinese restaurant business in Southern California. Journal of Asian American Studies, 12(2), 135–162, 238.
  • Mead, M., (1943). The problem of changing food habits. Washington, DC: National Research Council.
  • Mohr, I. (2013). The impact of social media on the fashion industry. The Journal of Applied Business and Economics, 15(2), 17–22.
  • Pachucki, M. A. (2010). A ‘taste’ for tastes: Social influence, food choice, and health behaviors in a social network (Doctoral dissertation). Available from ProQuest Dissertations & Theses Full Text. (614108088)
  • Sina Corporation. (2012). Form 20-F. Retrieved from http://corp.sina.com.cn/chn/Annual_Report_2012_Final.pdf
  • Tencent Holdings. (2015). Annual report 2015. Retrieved from http://www.tencent.com/enus/content/ir/rp/2015/attachments/201502.pdf
  • Tenkasi, R. V., & Chesmore, M. C. (2003). Social networks and planned organizational change: The impact of strong network ties on effective change implementation and use. The Journal of Applied Behavioral Science, 39(3), 281–300.
  • Tse, D. K., Lee, K-H., Vertinisky, I., & Wehrung, D. A. (1988). Does culture matter? A cross-cultural study of executives’ choice, decisiveness, and risk adjustment in international marketing. Journal of Marketing, 52(4), 81–95.
  • U.S. Census Bureau. (2010). Profile of general population and housing characteristics: 2010 United States demographic profile data (Chinese population in U.S.). Retrieved from http://factfinder.census.gov/bkmk /table/1.0/en/DEC/10_DP/DPDP1/0100000US
  • U.S. Census Bureau. (2014a). ACS DEMOGRAPHIC AND HOUSING ESTIMATES: 2010-2014 American Community Survey 5-year estimates (Chicago City). Retrieved from http://factfinder.census.gov/bkmk /table/1.0/en/ACS/14_5YR/DP05/1600000US1714000
  • U.S. Census Bureau. (2014b). ACS DEMOGRAPHIC AND HOUSING ESTIMATES: 2010-2014 American Community Survey 5-year estimates (Chicago Metropolitan area). Retrieved from http://factfinder.census.gov/bkmk /table/1.0/en/ACS/14_5YR/DP05/310M200US16980
  • U.S. Census Bureau. (2014c). ACS DEMOGRAPHIC AND HOUSING ESTIMATES: 2010-2014 American Community Survey 5-year estimates (Illinois). Retrieved from http://factfinder.census.gov/bkmk /table/1.0/en/ACS/14_5YR/DP05/0400000US17
  • Vinerean, S., Cetina, I., Dumitrescu, L., & Tichindelean, M. (2013). The effects of social media marketing on online consumer behavior. International Journal of Business and Management, 8(14), 66–79.
  • Williams, J., & Chinn, S. J. (2009). Using Web 2.0 to support the active learning experience. Journal of Information Systems Education, 20(2), 165–174.
  • Witkemper, C., Lim, C. H., & Waldburger, A. (2012). Social media and sports marketing: Examining the motivations and constraints of Twitter users. Sport Marketing Quarterly, 21(3), 170–183.