데이터 기반의 디자인 씽킹을 이용한 서비스 개선 전략에 대한 연구: 홈쇼핑의 T 커머스 사례 분석을 중심으로

References

• Andal-Ancion, A., Cartwright, P. A., & Yip, G. S. (2003). “The digital transformation of traditional business,” MIT Sloan Management Review, 44(4), pp.34-41.
• Adler, J., & Parmryd, I. (2010), “Quantifying colocalization by correlation the Pearson correlation coefficient is superior to the Mander's overlap coefficient,” Cytometry Part A, 77(8), pp.733-742. [https://doi.org/10.1002/cyto.a.20896]
• Ailawadi, K. L., Luan, Y. J., Neslin, S. A., & Taylor, G. A. (2011). “The impact of retailers’ cor- porate social responsibility on price fairness perceptions and loyalty,” In proceeding of the Inra-Idei Seminar on Competition and Strategies in the Retailing Industry, pp. 16-17.
• Alalwan, A. A., Dwivedi, Y. K. & Rana, N. P. (2017), “Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust,” International Journal of Information Management, 37, pp.99-110. [https://doi.org/10.1016/j.ijinfomgt.2017.01.002]
• Allsopp, D. H., DeMarie, D., Alvarez-McHatton, P., & Doone, E. (2006), “Bridging the gap between theory and practice Connecting courses with field experiences,” Teacher Education Quarterly, 33(1), pp.19-35.
• Ahn, S. W., Cho, S. B., (2010), “Stock prediction using news text mining and time series analysis,” In Proceedings of the Conference of Computer Science, 37(1), pp.364-369.
• Awasthi, A., & Chauhan, S. S. (2012), “A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning,” Applied Mathematical Modelling, 36(2), pp.573-584. [https://doi.org/10.1016/j.apm.2011.07.033]
• Baker, M. (2015). Digital transformation, Buckingham Business Monographs.
• Bei, L. T., & Chiao, Y. C. (2001), “An integrated model for the effects of perceived product, perceived service quality, and perceived price fairness on consumer satisfaction and loyalty,” Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 14, pp.125-140.
• Bernas, T., Barnes, D., Asem, E. K., Robinson, J. P., & Rajwa, B. (2007), “Precision of light intensity measurement in biological optical microscopy,” Journal of Microscopy, 226(2), pp.163-174. [https://doi.org/10.1111/j.1365-2818.2007.01764.x]
• Benlian, A., Kettinger, W. J., Sunyaev, A., & Winkler, T. J. (2018), “The transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework,” Journal of Management Information Systems, 35(3), pp.719-739. [https://doi.org/10.1080/07421222.2018.1481634]
• Box, G. E., Jenkins, G. M., & Reinsel, G. C. (2011), Time series analysis: forecasting and control (Vol. 734), John Wiley & Sons.
• Brenner, W., Uebernickel, F., & Abrell, T. (2016), “Design thinking as mindset, process, and toolbox,” In Procedding of the Design Thinking for Innovation, pp.3-21. [https://doi.org/10.1007/978-3-319-26100-3_1]
• Brown, T. (2008), “Design thinking,” Harvard Business Review, 86(6), pp.84-94.
• Brown, T., & Wyatt, J. (2010), “Design thinking for social innovation,” Development Outreach, 12(1), pp.29-43. [https://doi.org/10.1596/1020-797X_12_1_29]
• Chancellor, S., & Counts, S. (2018), “Measuring employment demand using internet search data,” In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp.1-14. [https://doi.org/10.1145/3173574.3173696]
• Chatthong, W., Khemthong, S., & Wongsawat, Y. (2020), “A Design Thinking Model Based on Quantitative Electroencephalography in Social Emotional Learning for Attention Deficit Hyperactivity Disorder,” Mind, Brain, and Education, 14(2), pp.104-113. [https://doi.org/10.1111/mbe.12235]
• Cheema, A., & Papatla, P. (2010), “Relative importance of online versus offline information for Internet purchases Product category and Internet experience effects,” Journal of Business Research, 63(9-10), pp.979-985. [https://doi.org/10.1016/j.jbusres.2009.01.021]
• Chih-Chung, C., Chang, C., & Lin, L. W. C. (2012), “The effect of advertisement frequency on the advertisement attitude-the controlled effects of brand image and spokesperson's credibility,” Procedia-Social and Behavioral Sciences, 57, pp.352-359. [https://doi.org/10.1016/j.sbspro.2012.09.1197]
• Clements, K. W., & Zhao, X. (2005), “Economic aspects of marijuana,” Discussion Paper- University of Western Australia Department of Econimics, 28.
• Coile Jr, R. C. (2000), “The digital transformation of health care. (Health Care Meets ECommerce),” Physician Executive, 26(1), pp.8-15.
• Connor, J. T., Martin, R. D., & Atlas, L. E. (1994), “Recurrent neural networks and robust time series prediction,” IEEE Transactions on Neural Networks, 5(2), pp.240-254. [https://doi.org/10.1109/72.279188]
• Contreras, J., Espinola, R., Nogales, F. J., & Conejo, A. J. (2003), “ARIMA models to predict nextday electricity prices,” IEEE Transactions on Power Systems, 18(3), pp.1014-1020. [https://doi.org/10.1109/TPWRS.2002.804943]
• Damrongkulkamjorn, P., & Churueang, P. (2005), “Monthly energy forecasting using decomposition method with application of seasonal ARIMA,” In proceeding of the 2005 International Power Engineering Conference, pp. 1-229. IEEE. [https://doi.org/10.1109/IPEC.2005.206911]
• Dhande, L. L., & Patnaik, G. K. (2014), “Analyzing sentiment of movie review data using Naive Bayes neural classifier,” International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 3(4), pp.313-320.
• Dijst, M. (2004), “ICTs and accessibility: an action space perspective on the impact of new information and communication technologies,” In proceeding of the Transport Developments and Innovations in an Evolving World, pp. 27-46. Springer, Berlin, Heidelberg. [https://doi.org/10.1007/978-3-540-24827-9_3]
• E-daily, “CJ ENM's O Shopping Division differentiates “T-commerce” ... 11 launches within this year,” https://www.edaily.co.kr/news/read?newsId=01928646622518440&mediaCodeNo=257, (retrieved June 2019).
• Ertem, Z., Veremyev, A., & Butenko, S. (2016), “Detecting large cohesive subgroups with high clustering coefficients in social networks,” Social Networks, 46, pp.1-10. [https://doi.org/10.1016/j.socnet.2016.01.001]
• Fionda, A. M., & Moore, C. M. (2009), “The anatomy of the luxury fashion brand,” Journal of Brand Management, 16(5-6), pp.347-363. [https://doi.org/10.1057/bm.2008.45]
• Fitzsimmons, J. A., & Fitzsimmons, M. J. (1998) Service Management: Operations, Stralrw and Informolian Technology (2nd ed.), McGrrw-Hill, pp.25-35.
• Glen, R., Suciu, C., & Baughn, C. (2014), “The need for design thinking in business schools,” Academy of Management Learning & Education, 13(4), pp.653-667. [https://doi.org/10.5465/amle.2012.0308]
• Gould, J., & Golob, T. F. (1997), “Shopping without travel or travel without shopping? An investigation of electronic home shopping,” Transport Reviews, 17(4), pp.355-376. [https://doi.org/10.1080/01441649708716991]
• Guo, X., Liu, C., Xu, W., Yuan, H., & Wang, M. (2014), “A prediction-based inventory optimization using data mining models,” In proceeding of the 2014 Seventh International Joint Conference on Computational Sciences and Optimization, pp.611-615. IEEE. [https://doi.org/10.1109/CSO.2014.118]
• Hatala, J. P. (2006), “Social network analysis in human resource development A new methodology,” Human Resource Development Review, 5(1), pp.45-71. [https://doi.org/10.1177/1534484305284318]
• Heo, J. Y., Kim, M. J., & Cha, K. J., (2020), “A Study on the Service Improvement Strategies by Enterprise through the Analysis of Customer Response Reviews in Smart Home Applications: Based on the Classification of Functional Elements and Design Elements of Smart Home Usability Values,” Journal of Information Technology Services, 19(4), pp.85107.
• Jeon, H. J., (2020), “Time Series Analysis on the Relationship between Real Estate News, Apartment Price, and Transaction Quantity,” Journal of Korea Association of Real Estate Law, 24(2), pp.23-69. [https://doi.org/10.32989/rel.2020.24.2.53]
• Jeong, P, I., An, H. C., & Gwak, G. Y., (2019) "Core Characteristics and Value Recognition of Smartphone Design through Text Mining and Social Network Analysis,” Korean Journal of Business Administration, 32(1), pp.27-47. [https://doi.org/10.18032/kaaba.2019.32.1.27]
• Jin, S. K., (2013), “Time Series Change Analysis of Korean Information Gap,” Journal of Korean Association for Regional Information Society, 16(3), pp.161-188.
• Kim, E. Y., Song, M. H., & Kim, Y, J. (2015), “The effect of suicide article of the newspaper to perception of suicide: via the news contents and mobile relationship between web searching activities,” Korean Journal of Journalism & Communication Studies, 59(3), pp.94-122.
• Kim, I. J., Na, K. H., Yang, S. H., Jang, J. M., Kim, Y. J., Shin, W. Y., & Kim, D. J., (2017), “T-Commerce Sale Prediction Using Deep Learning and Statistical Model,” Journal of KIISE, 44(8), pp.803-812. [https://doi.org/10.5626/JOK.2017.44.8.803]
• Kohavi, R., & Longbotham, R. (2017), “Online Controlled Experiments and AB Testing,” Encyclopedia of Machine Learning and Data Mining, 7(8), pp.922-929. [https://doi.org/10.1007/978-1-4899-7687-1_891]
• Li, Y. M. (2014), “Effects of story marketing and travel involvement on tourist behavioral intention in the tourism industry,” Sustainability, 6(12), pp.9387-9397. [https://doi.org/10.3390/su6129387]
• Lim, J. S., Sharkey, T. W., & Kim, K. I. (1991), “An empirical test of an export adoption model,” MIR: Management International Review, 31(1), pp.51-62.
• Mail Economics, “Thanks to T-commerce... Sales doubled,” https://www.mk.co.kr/news/business/view/2019/11/920317, /(Retrieved November 2019).
• Marston, J. R., & Golledge, R. G. (2003), “The hidden demand for participation in activities and travel by persons who are visually impaired,” Journal of Visual Impairment & Blindness, 97(8), pp.475-488. [https://doi.org/10.1177/0145482X0309700803]
• Min, E. J., (2019). Building the Brand, Reader’s book.
• Moghaddam, G., & Moballeghi, M. (2008), “How do we measure the use of scientific journals A note on research methodologies,” Scientometrics, 76(1), pp.125-133. [https://doi.org/10.1007/s11192-007-1901-y]
• Mori, M., MacDorman, K. F., & Kageki, N. (2012), “The uncanny valley [from the field],” IEEE Robotics & Automation Magazine, 19(2), pp.98-100. [https://doi.org/10.1109/MRA.2012.2192811]
• Econovill, “NS Shop+, strengthening T-commerce service,” http://www.econovill.com/news/articleView.html?idxno=362015, (Retrieved April 2019).
• Nunkoo, R., Gursoy, D., & Ramkissoon, H. (2013), “Developments in hospitality marketing and management Social network analysis and research themes,” Journal of Hospitality Marketing & Management, 22(3), pp.269-288. [https://doi.org/10.1080/19368623.2013.753814]
• Olhager, J. (2012), “The role of decoupling points in value chain management,” In Modelling value. pp.37-47. Physica-Verlag HD. [https://doi.org/10.1007/978-3-7908-2747-7_2]
• Omar, A. C., Shiratuddin, N., Sarif, S. M., Mutalib, A. A., & Rashid, S. M. (2013), “Identification of research gap T-commerce impulse purchase for iTV advertising,” In proceeding of the 2013 International Conference on Informatics and Creative Multimedia, pp.119-122. IEEE. [https://doi.org/10.1109/ICICM.2013.28]
• Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988), “SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality,” Journal of Retailing, 64(1), 12-40.
• Park, G. W,, & Lee D., H. (2018), “Strudy on the success of T-commerce business of ICT providers and strategy for smart media commerce – A case study on KTH’s Tcommerce business, K shopping,” KAIST.
• Park, J. E., Kim, S. W., Kim, E., & Kim, S. C., (2017), “A Multi-criteria Approach toward Identifying Determining Factors of T-Commerce Adoption: Comparing T-Commerce, TV Home Shopping, and Online Shopping,” Korean Journal of Broadcasting and Telecommunication Studies, 31(1), pp.5-37.
• Paul, J., & Rana, J. (2012), “Consumer behavior and purchase intention for organic food,” Journal of consumer Marketing, 29(6), pp. 412-422. [https://doi.org/10.1108/07363761211259223]
• Piotrowicz, W., & Cuthbertson, R. (2014), “Introduction to the special issue information technology in retail Toward omnichannel retailing,” International Journal of Electronic Commerce, 18(4), pp.5-16. [https://doi.org/10.2753/JEC1086-4415180400]
• Ryoo, S. H., (2019). ICT Based Contents and Cimmerce Leader. KTh.
• Sanguinetti, A., Karlin, B., Ford, R., Salmon, K., & Dombrovski, K. (2018), “What’s energy management got to do with it? Exploring the role of energy management in the smart home adoption process,” Energy Efficiency, 11(7), pp.1897-1911. [https://doi.org/10.1007/s12053-018-9689-6]
• Siau, K., & Shen, Z. (2003), “Building customer trust in mobile commerce,” Communications of the ACM, 46(4), pp.91-94. [https://doi.org/10.1145/641205.641211]
• Shyong, K., Frankowski, D., & Riedl, J. (2006), “Do you trust your recommendations An exploration of security and privacy issues in recommender systems,” In proceeding of the International Conference on Emerging Trends in Information and Communication Security, pp.14-29. Springer, Berlin, Heidelberg. [https://doi.org/10.1007/11766155_2]
• Sogunro, O. A. (2002), “Selecting a quantitative or qualitative research methodology An experience,” Educational Research Quarterly, 26(1), pp. 3-10.
• Song, B., Lee, C., Yoon, B., & Park, Y. (2016), “Diagnosing service quality using customer reviews an index approach based on sentiment and gap analyses,” Service Business, 10(4), pp.775-798. [https://doi.org/10.1007/s11628-015-0290-1]
• Sloane, A., & O’reilly, S. (2013), “The emergence of supply network ecosystems a social network analysis perspective,” Production Planning & Control, 24(7), pp.621-639. [https://doi.org/10.1080/09537287.2012.659874]
• Stanford d. School. (2010). An Introduction to Design Thinking Process Guide.
• van Pinxteren, M. M., Wetzels, R. W., Rüger, J., Pluymaekers, M., & Wetzels, M. (2019), “Trust in humanoid robots: implications for services marketing,” Journal of Services Marketing, 33(4), pp.507-518. [https://doi.org/10.1108/JSM-01-2018-0045]
• Takai, S., & Ishii, K. (2010), “A use of subjective clustering to support affinity diagram results in customer needs analysis,” Concurrent Engineering, 18(2), pp.101-109. [https://doi.org/10.1177/1063293X10372792]
• Tekic, Z., & Koroteev, D. (2019), “From disruptively digital to proudly analog: A holistic typology of digital transformation strategies,” Business Horizons, 62(6), pp.683-693. [https://doi.org/10.1016/j.bushor.2019.07.002]
• Vargas, R., & Lourdes, R. U. İ. Z. (2017), “Deep learning previous and present applications,” Journal of Awareness, 2(Special 3), pp.11-20.
• Woo, K., & Rhee, S. S., (2015), “Time series modeling for forecasting land price change rate – focusing on the intervention ARIMA model,” Journal of Real Estate, 60, pp.142-154
• Woo, Y. J., & Lee, J. H., (2018), “Development and Application of Design Thinking-Based Maker Education Program,” Journal of Creative Information Culture, 4(1), pp.35-43. [https://doi.org/10.32823/jcic.4.1.201804.35]
• Yu, J., Ha, I., Choi, M., & Rho, J. (2005), “Extending the TAM for a t-commerce,” Information & Management, 42(7), pp.965-976. [https://doi.org/10.1016/j.im.2004.11.001]
• Zhang, G. P. (2003), “Time series forecasting using a hybrid ARIMA and neural network model,” Neurocomputing, 50, pp.159-175. [https://doi.org/10.1016/S0925-2312(01)00702-0]