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http://dx.doi.org/10.13088/jiis.2017.23.4.001

Designing an Intelligent Advertising Business Model in Seoul's Metro Network  

Musyoka, Kavoya Job (Graduate School of Business, Hanyang University)
Lim, Gyoo Gun (School of Business, Hanyang University)
Publication Information
Journal of Intelligence and Information Systems / v.23, no.4, 2017 , pp. 1-31 More about this Journal
Abstract
Modern businesses are adopting new technologies to serve their markets better as well as to improve efficiency and productivity. The advertising industry has continuously experienced disruptions from the traditional channels (radio, television and print media) to new complex ones including internet, social media and mobile-based advertising. This case study focuses on proposing intelligent advertising business model in Seoul's metro network. Seoul has one of the world's busiest metro network and transports a huge number of travelers on a daily basis. The high number of travelers coupled with a well-planned metro network creates a platform where marketers can initiate engagement and interact with both customers and potential customers. In the current advertising model, advertising is on illuminated and framed posters in the stations and in-car, non-illuminated posters, and digital screens that show scheduled arrivals and departures of metros. Some stations have digital screens that show adverts but they do not have location capability. Most of the current advertising media have one key limitation: space. For posters whether illuminated or not, one space can host only one advert at a time. Empirical literatures show that there is room for improving this advertising model and eliminate the space limitation by replacing the poster adverts with digital advertising platform. This new model will not only be digital, but will also provide intelligent advertising platform that is driven by data. The digital platform will incorporate location sensing, e-commerce, and mobile platform to create new value to all stakeholders. Travel cards used in the metro will be registered and the card scanners will have a capability to capture traveler's data when travelers tap their cards. This data once analyzed will make it possible to identify different customer groups. Advertisers and marketers will then be able to target specific customer groups, customize adverts based on the targeted consumer group, and offer a wide variety of advertising formats. Format includes video, cinemagraphs, moving pictures, and animation. Different advert formats create different emotions in the customer's mind and the goal should be to use format or combination of formats that arouse the expected emotion and lead to an engagement. Combination of different formats will be more effective and this can only work in a digital platform. Adverts will be location based, ensuring that adverts will show more frequently when the metro is near the premises of an advertiser. The advertising platform will automatically detect the next station and screens inside the metro will prioritize adverts in the station where the metro will be stopping. In the mobile platform, customers who opt to receive notifications will receive them when they approach the business premises of advertiser. The mobile platform will have indoor navigation for the underground shopping malls that will allow customers to search for facilities within the mall, products they may want to buy as well as deals going on in the underground mall. To create an end-to-end solution, the mobile solution will have a capability to allow customers purchase products through their phones, get coupons for deals, and review products and shops where they have bought a product. The indoor navigation will host intelligent mobile-based advertisement and a recommendation system. The indoor navigation will have adverts such that when a customer is searching for information, the recommendation system shows adverts that are near the place traveler is searching or in the direction that the traveler is moving. These adverts will be linked to the e-commerce platform such that if a customer clicks on an advert, it leads them to the product description page. The whole system will have multi-language as well as text-to-speech capability such that both locals and tourists have no language barrier. The implications of implementing this model are varied including support for small and medium businesses operating in the underground malls, improved customer experience, new job opportunities, additional revenue to business model operator, and flexibility in advertising. The new value created will benefit all the stakeholders.
Keywords
Business model; Intelligent advertising; Location-based advertising; Value creation; Metro;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Kim Y. J, J. Y. Han. "Why smartphone advertising attracts customers: A model of web advertising, flow, and personalization", Computers in human behavior, Vol. 33, (2014), 256-269.   DOI
2 Afuah, A. and Tucci, C. L., Internet Business Model and Strategies: Text and Cases, McGraw-Hill, 2001.
3 Amit. R., C. Zott, Value drivers of e-commerce business model, INSEAD, 2000.
4 Berkowitz, D., A. Allaway, and G. D'Souza "The Impact of Differential Lag Effects on Allocation of Advertising Budgets Across Media," Journal of Advertising Research, Vol. 41, No 2, (2001) 27-36.   DOI
5 Bruce, N. I., B.P.S. Murthi, and R.C. Rao, "A dynamic model for digital advertising: The effects of creative format, message content, and targeting on engagement", Journal of marketing research, Vol. LIV (2017), 202-218.
6 Cho, C.H., "Factors influencing clicking of banner ads on the Cyber", Psychology & Behavior, Vol. 6: (2003), 201-215.   DOI
7 Court, D., D. Elzinga, S. Mulder, and O.J. Vetcik, The consumer decision journey, McKinsey quarterly, 2009.
8 Dahlen, M., "Banner Advertisements through a New Lens", Journal of Advertising Research, Vol. 41, No. 4, (2001), 23-30.   DOI
9 Detenber B., Robert. F., and Gary, G., "The effects of picture motion on emotional responses", Journal of Broadcasting and electronic media, Vol. 42 No. 1, (1998) 113-127.   DOI
10 Dezoysa, S. "Mobile advertising needs to get personal", Telecommunication international, Vol. 36, No.2, (2002), 8.
11 Diophode, S., J.W. Bakal., M. Gedam, "Survey of indoor positioning measurements, methods and techniques", International Journal of computer applications. Vol. 140, No.7, (2016), 1-4.
12 Dorner K., David E, What digital really means, McKinsey & company, 2015.
13 Dreze, X., and F. X. Hussherr, "Internet Advertising: Is Anybody Watching?", Journal of Interactive Marketing, Vol. 17, No. 4, (2003), 8-23.   DOI
14 Dyer, J., "Effective inter-firm collaboration: how firms minimize transaction cost and maximize transaction value", Strategic Management Journal, Vol. 18, (1997), 535-556.   DOI
15 Stabell, C.B., and O. D. Fjeldstad, "Configuring value for competitive advantage: on Chains, shops and networks", Strategic Management Journal, Vol. 19, (1998), 413-417.   DOI
16 Stelzner, M. A., Social media marketing industry report: How marketers are using social media to grow their businesses, http://www.socialmediaexaminer.com/social-media-marketing-industry-report-2016, 2016.
17 Tucker, C.E. "Social Networks, personalized advertising, and policy controls", Journal of marketing research, Vol. 51, No. 5, (2014), 546-562.   DOI
18 Wessel, M. Creating value in a digital economy, Harvard Business Review, 2017
19 Williams, P., "Emotions and consumer behavior", Journal of consumer research, Vol. 40, No. 5, February 2014, page. viii-xi.   DOI
20 X. Zhao, Z. Xiao, A. Markham, N. Trigoni, and Y. Ren. (2014). "Does BTLE measure up against WiFi? A comparison of indoor location performance," in Proceedings of 20th European Wireless Conference, IEEE, Barcelona, Spain, May 2014, 1-6.
21 Xu, D.J., "The influence of personalization in affecting consumer attitude toward mobile advertising in China", Journal of computer information systems", ABI/INFORM Global, Vol. 47, No. 2, (2006), 9-19.
22 Xu, D.J., Liao, S.S., and Li, Q. "Combining empirical experimentation and modelling techniques: A design research approach for personalized mobile advertising applications", Decision support systems, Vol. 44, No.3, (2008), 710-724.   DOI
23 Kim, H., Rao, A., & Lee, A., "It's time to vote: The effect of matching message orientation and temporal frame on political persuasion", Journal of Consumer Research, Vol. 35, No. 6, (2009), 877-889.   DOI
24 Kim, S., Hyunju L., "A study of the emotion expression techniques of motion graphics: focusing on brand websites for mobile phones", 2007 IASDR Conference: Emerging Trends in Design Research, The Hong Kong Polytechnic University 2007.
25 Kim, W.C and R. Mauborgne, Creating new market space, Harvard Business Review, 1999.
26 Korail Info.korail.com/mbs/English/subview.jsp?id=English_050202000000 Retrieved on June 29, 2017.
27 Larsen, N., Market segmentation: A framework for determining the right target customers. Aarhus school of business, Denmark, 2010.
28 Lee H. S. and K.J. Lee, "U-Commerce in Service Space: Business Model Analysis and Case Study", Journal of intelligence and information systems, Vol. 14, No. 2, (2008), 45-61.
29 Lim G.G., "Classification of the Architectures of Web based Expert Systems", Journal of Intelligence and Information Systems, Vol 13, No. 4, (2007), 1-16.
30 Lim G.G., S. U. Kang, J. H. Seol and D. S. Yu, "A Case Study on Business Model Evaluation for Broadcasting Telecommunication Convergence Service", Journal of Information Technology Services, Vol. 16 No. 1, (2017), 83-98.
31 Lim G.G. and S. C. Hong, "Classification and Analysis for the Business Models of Reverse Overseas Direct Purchasing", JOURNAL OF INFORMATION TECHNOLOGY APPLICATIONS & MANAGEMENT, Vol. 24, No. 1 (2017), 1-18.
32 Mahadevan, B., "Business Models for Internet-Based e-Commerce", California Management Review, Vol. 42, No. 4, (2000), 55-69   DOI
33 MacInnis, D. J., A. G. Rao, A.M. Weiss "Assessing When Increased Media Weight of Real-World Advertisements Helps Sales", Journal of Marketing Research, Vol. 39, No. 4, (2002), 391-407.   DOI
34 Moore, G. Darwin and the Demon: Innovating within established enterprises, Harvard Business Review, 2004.
35 Rao, B., and Minakakis, L., "Evolution of mobile location based services", Communications of the ACM, Vol. 46, No. 12, (2003), 61-65.   DOI
36 Reddy, S., and W. Reinartz. Digital transformation and value creation: Sea change ahead, GfK Marketing intelligence Review, ISSN (online) 1865-5866, DOI. 2017.
37 Salesforce.com www.salesforce.com/blog/2017/01/digital-advertising-transformations.html retrieved on September 11, 2017.
38 Seoul metropolitan Seoulmetro.co.kr/page.action?mCode=B020010000&cidx=39, 2017.
39 Seoul statistics http://english.seoul.go.kr/get-to-know-us/statistics-of-seoul/seoul-statistics-by-category/#none Retrieved on June 29, 2017.
40 Sethuraman, R., G. J. Tellis, and R. A. Briesch, "How Well Does Advertising Work? Generalizations from Meta-Analysis of Brand Advertising Elasticities", Journal of Marketing Research, Vol. 48, No. 3, (2011), 457-471.   DOI
41 Edgar, D. Audio-visual methods in teaching, New York, The Dryden Press, 1946.
42 English.visitkorea.or.kr/enu/ATR/SI_EN_3_6.jsp?cid=2411991
43 Evans, P.B., and T.S. Wurster, Strategy and the new economics of information, Harvard Business Review, 1997.
44 Flixel blog.flixel.com/flixel-microsoft-case-study, 2017.
45 Fujita, K., Eyal, T., Chaiken, S., Trope, Y., & Liberman, N., "Influencing attitudes toward near and distant objects", Journal of Experimental Social Psychology, Vol. 44, No 3, (2008), 562-572.   DOI
46 Gartner http://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017 retrieved on June 13, (2017).
47 Girotra K., and Serguei, N., Four paths to Business model Innovation, Harvard Business Review, 2014.
48 Gomez-Uribe, G.A. and N. Hunt., "The Netflix recommender system: Algorithms, Business value, and innovation", ACM Trans. Management information systems, Vol. 6, No. 4, (2015), 13:1-13:19.
49 Greer, T.H. and M.B. Murtaza. (2003), "Web personalization: The impact of perceived information characteristics on the intention to use personalization", Journal of computer information systems, Vol. 43, No.3, (2003), 50-55.
50 Groysberg, B. and Katherine C., The 3 things CEOs worry about the most, Harvard Business Review, 2015.
51 Guerreiro, J., Paulo, R., Duarte, T., "Attention, emotions and cause-related marketing effectiveness", European Journal of marketing, Vol. 49, No. 11/12, (2015), 1728-1750.   DOI
52 Huang, L., "System intelligence: model, bounds and algorithm", In proc. 17th ACM mobile ad hoc, New York, USA, (2016), 171-180.
53 Hunh, A.E., V.J. Khan., P. Ketelaar., J. Van't ., R. Konig., E. Rozendaal., N. Batalas., and P. Markopolous, "Does location congruence matter? A field study on the effects of location-based advertising on perceived ad intrusiveness, relevance and value", Computers in Human Behavior, Vol. 73 Iss. C, (2017), 659-668.   DOI
54 Johansson. N., U. Mollstedt, "Revisiting Amit and Zott's model of value creation sources: The symBelt Customer center case", Journal of theoretical and applied electronic commerce research, Vol. 1, No3, (2006), 16-27.
55 John Kim, Case study: Indoor location services in diverse venues, PlaceTM The business of location, 2014.
56 JoongAng Daily, joins.com/news/article/article.aspx?aid=2988269&ref=mobile, 2014.
57 Jun J. H. and K.J. Lee, "Design and Analysis of Business Model using Mobile RFID in the Exhibition Space and its Cases", Journal of Intelligence and Information Systems, Vol. 14, No. 4, (2008), 47-68.