참고문헌
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann, (Eds.), Action control: From cognition to behavior(pp. 11-39). Berlin: Springer.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
- Ajzen, I., & Madden, T. J. (1986). Prediction of goal directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
- Boulding, W., Staelin, R., Kalra, A., & Zeithaml, V. (1993). A dynamic process model of service quality: From expectations to behavioral intentions. Journal of Marketing Research, 30(1), 7-27. https://doi.org/10.2307/3172510
- Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65-81. https://doi.org/10.1509/jmkg.64.4.65.18071
- Chatterjee, P. (2010). Multiple-channel and cross-channel shopping behavior: Role of consumer shopping orientations. Marketing Intelligence and Planning, 28(1), 9-24. https://doi.org/10.1108/02634501011014589
- Chi, Y. S., Kang, M. Y., & Choi, J. I. (2016). A study of O2O-commerce consumers' word-of-mouth intentions based on the value-based adoption model: The comparison of Korean and Chinese consumers. Korean Telecommunications Policy Review, 23(4), 81-116.
- Chi, Y. S., Kang, M. Y., & Han, K. S. (2015). An empirical study on consumers' discontinuance intentions towards O2O commerce. The Journal of Internet Electronic Commerce Research, 15(4), 223-245.
- Choi, S. J. (2013). Determinants of user perceived value and its influence on the usage of smartphone-based mobile commerce : Focusing on service ubiquity and user control. Journal of Society for e-Business Studies, 18(4), 273-299. https://doi.org/10.7838/jsebs.2013.18.4.273
- Choi, W. S., & Lee, S. B. (2013). Effects of the external variables of the RFID system for eco-friendly agricultural products on perceived value and behavioral intention: Applying an expanded TAM. Culinary Science & Hospitality Research, 19(2), 149-166. https://doi.org/10.20878/cshr.2013.19.2.011
- Choi, W. S., Kim, M. Y., & Lee, S. B. (2013). The effects of the RFID system for eco-agricultural products on trust and behavior intention: Focusing on an expanded technology acceptance model. Culinary Science & Hospitlaity Research, 19(1), 85-102. https://doi.org/10.20878/cshr.2013.19.1.007
- Chunxiang, L. (2014). Study on mobile commerce customer based on value adoption. Journal of Applied Sciences, 14(9), 901-909. https://doi.org/10.3923/jas.2014.901.909
- Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
- Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36(1), 9-21. https://doi.org/10.1016/S0378-7206(98)00101-3
- Economy Insight (2015. 5. 1). Single family changes a business concept. Retrieved from: http://www.economyinsight.co.kr/
- Evans, K.(2012). 43% of U.S. adults participate in showrooming : And they do it at best buy stores most often, a new poll shows. Retrieved from www.internetretailer.com
- Eun, Y.R., & Yoo, Y. J. (2016). The effects of foodservice consumer's consumption value and subjective norm of social commerce usage intention. Journal of Contents, 16(10), 130-139.
- Fang, L., & Seo, S. S. (2011). A study on effect on the credibility and word-of-mouth intention bycharacters of social commerce. Journal of Korea E․Commerce Research Academy, 12(2), 89-108.
- Fishbein, M. (1963). An investigation of the relationship between beliefs about an object and the attitude toward that object. Human Relations, 16, 233-240. https://doi.org/10.1177/001872676301600302
- Hahn, S. B., Yoon, J. H., & Kim, J. M. (2014). Extending the technology acceptance model to examine the intention to use tourism applications on smartphone. Korean Journal of Hospitality & Tourism 23(3), 19-40.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-319.
- Hyun, Y., Kim, Y. L., Nam, J. Y., & Kim, Y. S. (2014). A study on the acceptance attitude of social commerce by food product consumers : Applying extended TAM. Journal of Tourism Sciences, 38(10), 57-79.
- Hyundai Research Institute (2013). Consumption trend characteristics after global financial crisis. VIP Report, 527, 1-18.
- Igbaria, M., Guimaraes, T., & Davis, G. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114. https://doi.org/10.1080/07421222.1995.11518061
- Jeon, H. M. (2013). The effect of foodservice consumer's perceived risk and value on social commerce usage intention: Focused on the technology acceptance model. Journal of Foodservice Management, 16(6), 199-222.
- Jeong H. Y. (2015). The world to open by O2O. Eugene Investment Co. Ltd. 1-100.
- Jeong, Y. J., & Song, Y. U. (2016). A study on the factors affecting the intention to use O2O services. Journal of Information Technology Services, 15(4), 125-151.
- Jo, M. N., & Cha, J. B. (2017). Consumer attitudes and behavioral intentions on delivery application quality: Focusing on technology acceptance model(TAM). Journal of Tourism Sciences, 41(4), 171-184.
- Joo, Y. H. (2010). Multichannel shopping and customer satisfaction : The role of shopping experience and customer-Firm relationship characteristics. Journal of Channel and Retailing, 15(4), 21-60.
- Kim, D. K. (2014). Trends and implications of O2O(online-to-offline). Korea Information Society Development Institute. ICT and Media Policy, 26(22), 1-20.
- Kim, Y. O. (2016). A study on single person households in Korea. Korean J of Family Social Work, 52, 139-166.
- Kim, G. J., Byun, G. I., & Yang, J. M. (2011). A study on the effect of easiness to use the food service related application of smartphone on intentions of use: Focused on the mediation effect of familarity and usefulness. Korean Journal of Hotel Administration, 20(6), 61-81.
- Kim, Y. I., Heo, J., & Kim, C. W. (2015). A study concerning expandability of antecedent variable that influence on perceived usefulness and enjoyment to tourism information of smartphone application. Journal of Tourism & Leisure Research, 27(8), 137-157.
- Kim, J. Y., Jo, C. H., Jang, S. J., & Yoon, E. J. (2015). 2015 survey on the internet usage. Ministry of Science and ICT & Future Planning, & Korea Internet & Security Agency.
- Kim, M. K., & Kim, J. E. (2016). The study on tourism constraints perception and participation intention by motivation on "Travel alone" - Focused on the university students in Daegu-Gyeongbuk Area -. Tourism Research, 41(3), 1-17.
- Kim, T. H., & Kim, H. S. (2016). Delivery app understanding and acceptance among food tech customers using the modified technology acceptance model. Journal of Tourism Sciences, 40(5), 127-144.
- Lee, H. S., & Im, J. H. (2005). SPSS 12.0 manual. Bubmunsa.
- Lee. O. J., & Yang, D. W. (2017). Study on the effect of O2O service quality on user satisfaction and intention of reuse. Journal of Digital Convergence, 15(6), 165-178. https://doi.org/10.14400/JDC.2017.15.6.165
- Lee. Y. H., & Jeon, I. O. (2017). The effect of characteristics of ICT-based O2O service on user satisfaction - Focusing on the mediating effect of use safety -. Journal of Digital Convergence, 15(4), 157-169. https://doi.org/10.14400/JDC.2017.15.4.157
- Lee, I. S., & Yoon, H. H. (2011). A study on system use activity and acceptance of information technology for food-service employees: Based on ETAM (Extended Technology Acceptance Model). Journal of Foodservice Management Society of Korea, 14(3), 91-111.
- Lee, S. J. (2016). A study on formation and evolution of O2O market and its policy issues. Korean Journal of Social Science, 37(2), 25-39.
- Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40, 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
- Li, M., Dong, Z. Y., & Chen, X. (2012). Factors influencing consumption experience of mobile commerce : A study from experiential view. Internet Research, 22(2), 120-141. https://doi.org/10.1108/10662241211214539
- Lorenzo-Romero, C., Constantinides, E., & Alarcón-del-Amo, M. D. C. (2011). Consumer adoption of social networking sites: implications for theory and practice. Journal of Research. in Interactive Marketing, 5(2/3), 170-188. https://doi.org/10.1108/17505931111187794
- Monthly Jungang (2017.3.17.). Take 1.2 billion won '1 economy, market. Retrieved from: http://jmagazine.joins.com/monthly/view/315916
- Na, Y. S. (2012). A study on the factors influencing behavioral intention related to beef traceability and TAM. Culinary Science & Hospitality Research, 18(1), 77-90. https://doi.org/10.20878/cshr.2012.18.1.007
- Institute for Information & Communications Technology Promotion (IITP) (2014). O2O recent trends. ICT Report.
- Nunnally, J. C. (1978). Psychometric theory(2nd ed.). New York, NY : McGraw-Hill.
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.2307/3150499
- Park, S. O., & Choi, H. J. (2008). A study on the spending and savings behavior of Korean singles. Consumer Policy & Education Review, 4(2), 33-52.
- Ryu, H. S. (2014). O2O commerce trend and suggestions. KT Economic Management Research Institute, Digieco Report, 1-10.
- Sarita. (2014). Webrooming vs showrooming. The International Journal of Business and Management, 2(7), 13-15.
- Sevitt, D., & Samuel, A. (2013). How pinterest puts people in stores. Harvard Business Review, 91(7/8), 26-27.
- Shin, D. H., & Kim, W. Y. (2008). Applying the technology acceptance model and flow theory to cyworld user behavior: implication of the web2.0 user acceptance. Cyber Psychology & Behavior, 11(3), 378-382. https://doi.org/10.1089/cpb.2007.0117
- Song, W.G., Im, J. E., & Do, H. Y. (2015). Travel pattern and structure of one-person households. Korea Journal of Tourism Research, 30(6), 193-216.
- Spaid, B. I., & Flint, D. J. (2014). The meaning of shopping experiences augmented by mobile internet devices. Journal of Marketing Theory and Practice, 22(1), 73-90. https://doi.org/10.2753/MTP1069-6679220105
- Sung, Y. A. (2013). Cluster analysis for the consumption expenditure patterns of one-person households of different age groups. Journal of Consumer Research, 24(3), 157-181.
- The China perspective (2013). China's O2O market to see strong growth through 2015. Retrieved from: http://www.thechinaperspective.com/articles/china
- Tian, X. F. & Lee, J. H. (2016). A study on continuous use intention of hotel O2O application characteristics in China. Korean Journal of Hospitality & Tourism, 25(7), 35-50.
- Venkatesh, V. A. & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Sciences, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International Journa; of Research in Marketing, 24(2), 129-148. https://doi.org/10.1016/j.ijresmar.2006.11.002
- Women's Development Institute (2007). A survey on family consciousness and living conditions of single non-single family households.
- Won, J. H., & Chung, J. E. (2015). The segmentation of single-person households based on Sheth's Theory of consumption values. Journal of Consumer Research, 26(1), 73-99.
- Woo, M. H., Lee, M. J., & Choi, S. B. (2015). A study on leisure activities and family values of the younger generation in the one-person household: Focusing on comparisons with the younger generation in the multi-person household. Korean Society, 16(1), 201-231.
- Wu, T.J., Zhao, R. H., & Tzeng, S. Y. (2015). An empirical research of consumer adoption behavior on catering transformation to mobile O2O. Journal of Interdisciplinary Mathematics, 18(6), 769-788. https://doi.org/10.1080/09720502.2015.1108088
- Yeo, Y. K., & Yang, S. J. (2011). Differences in consumption patterns of various household types. Journal of Consumer Research, 12(4), 65-81.
- Yoon, J. S. & Park, C. (2014). A content analysis on consumer deception behaviors of internet shopping mall as growing internet shopping, a lot of deceptive behaviors. The Journal of Internet Electronic Commerce Research, 14(3), 15-35.
- Yoon, S. J., Kim, J. H., & Kim, N. J. (2017). Structural relationship among perceived risk, trust, impulse buying tendencies and use intention in social commerce context for tourism consumption : Applying a extended technology acceptance model. The Journal of Tourism Studies, 29(1), 147-171. https://doi.org/10.21581/jts.2017.02.29.1.147
- Zhang, P., & Moon, H. C. (2017). A study on the effects of O2O commerce characteristics and consumer characteristics on trust, desire and intention to use in China. Korea Trade Reviews, 42(1), 141-163.
피인용 문헌
- O2O를 활용한 신선한 농산품 전자상거래의 지속적 사용의도에 관한 연구 vol.10, pp.10, 2019, https://doi.org/10.13106/ijidb.2019.vol10.no10.35
- Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic vol.48, pp.None, 2021, https://doi.org/10.1016/j.jhtm.2021.08.012