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2017 | OriginalPaper | Chapter

Are You Really Influencing Your Customers?: A Black-Friday Analysis

Authors : Camelia Delcea, Elsabeta Ioanas, Ramona Paun

Published in: Empirical Studies on Economics of Innovation, Public Economics and Management

Publisher: Springer International Publishing

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Abstract

The concept of Black Friday appeared more than 50 years ago and is known as an American holiday retail and in time it has crossed the borders of US and was been widely adopted by other countries from all over the world. For this, the present paper aims to analyze some qualitative aspects related to the consumers’ behavior and the Black Friday promotions, such as: what are the most purchased products, what are the most preferred brands, to whom are bought these products, what is the average budget, what is the allocated time, the post-sale consumer satisfaction, etc. Moreover, the paper uses a questionnaire for determining the impact that Black Friday has on the consumers’ future opinion over the different brands and how the companies’ advertisements and campaigns on online social net-works can change the consumers’ behavior in this day. In addition, the grey systems theory, a newly developed theory in the field of artificial intelligence, was used in order to shape the relationship among the considered variables which are influencing the consumers’ behavior on Black Friday.

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Literature
Bradea, I. A. (2014). Risks in hospitals. Assessment and management. Romanian Economic Journal, 17(54), 25–36.
Bradea, I. A., Delcea, C., Scarlat, E., & Boloş, M. (2014). KRIs in hospitals-network, correlations and influences. Economic Computation and Economic Cybernetics Studies and Research, 48(1), 81–94.
Brasel, S. A., & Gips, J. (2014). Tablets, touchscreens, and touchpads: How varying touch interfaces trigger psychological ownership and endowment. Journal of Consumer Psychology, 24(2), 226–233.CrossRef
Cotfas, L.-A. (2011). Collaborative itinerary recommender systems. Economy Informatics, 11(1), 191–200.
Cotfas, L.-A., & Roxin, I. (2013). Adaptable alternate reality games platform. Journal of Mobile, Embedded and Distributed Systems, 5(4), 130–135.
Cotfas, L.-A., Delcea, C., Roxin, I., & Paun, R. (2015). Twitter ontology-driven sentiment analysis. In D. Barbucha, N. T. Nguyen, & J. Batubara (Eds.), New trends in intelligent information and database systems (pp. 131–139). Cham: Springer.
Delcea, C. (2015a). Grey systems theory in economics—Bibliometric analysis and applications’ overview. Grey Systems: Theory and Application, 5(2), 244–262.CrossRef
Delcea, C. (2015b). Grey systems theory in economics—A historical applications review. Grey Systems: Theory and Application, 5(2), 263–276.CrossRef
Delcea, C., Bradea, I., & Scarlat, E. (2013). A computational grey based model for companies risk forecasting. Journal of Grey System, 25(3), 70–93.
Delcea, C., Cotfas, L.-A., Paun, R., Maracine, V., & Scarlat, E. (2016). A grey approach to online social networks analysis. In N. T. Nguyen & R. Kowalczyk (Eds.), Transactions on computational collective intelligence XXII (pp. 60–79). Berlin: Springer.CrossRef
Diosteanu, A., & Cotfas, L.-A. (2010). Multi-agents and GIS framework for collaborative supply chain management applications. In R. Brad (Ed.), 2010 9th Roedunet International Conference (RoEduNet 2010) (pp. 157–162). Piscataway, NJ: IEEE.
Eisingerich, A. B., Chun, H. H., Liu, Y., Jia, H. M., & Bell, S. J. (2015). Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth. Journal of Consumer Psychology, 25(1), 120–128.CrossRef
Kwon, H. J., & Brinthaupt, T. M. (2012). Teaching the social aspects of clothing in an online course. International Journal of Fashion Design, Technology and Education, 5(2), 129–134.CrossRef
Laroche, M., Bergeron, J., & Goutaland, C. (2003). How intangibility affects perceived risk: The moderating role of knowledge and involvement. Journal of Services Marketing, 17(2), 122–140.CrossRef
Liu, S., & Forrest, J. Y.-L. (Eds.). (2010). Advances in grey systems research. Berlin: Springer Science & Business Media.
Maracine, V., Delcea, C., Bradea, I., Scarlat, E., & Cotfas, L. (2013). Banking sector risks identification via GRA. In S. Liu (Ed.), Proceedings of 2013 I.E. International Conference on Grey systems and Intelligent Services (pp. 11–15). Piscataway, NJ: IEEE.
Orzan, G., Delcea, C., Ioanas, E., Orzan, M.C., 2015. Buyers’ decisions in online social networks environment. Journal of Eastern Europe Research in Business & Economics.
Rehman, N. U. (2016). Network alliances and firms’ performance: A panel data analysis of Pakistani SMEs. Eurasian Business Review, 6(1), 37–52.CrossRef
Scarlat, E., Delcea, C., & Mărăcine, V. (2010). Genetic-fuzzy-grey algorithms: A hybrid model for establishing companies’ failure reasons. In M. El-Hawary (Ed.), 2010 I.E. International Conference on Systems Man and Cybernetics (SMC) (pp. 955–962). Piscataway, NJ: IEEE.CrossRef
Smeureanu, I., Ruxanda, G., Diosteanu, A., Delcea, C., & Cotfas, L. A. (2012). Intelligent agents and risk based model for supply chain management. Technological and Economic Development of Economy, 18(3), 452–469.CrossRef
Walters, R. G., & Jamil, M. (2003). Exploring the relationships between shopping trip type, purchases of products on promotion, and shopping basket profit. Journal of Business Research, 56(1), 17–29.CrossRef
Metadata
Title
Are You Really Influencing Your Customers?: A Black-Friday Analysis
Authors
Camelia Delcea
Elsabeta Ioanas
Ramona Paun
Copyright Year
2017
Book
Empirical Studies on Economics of Innovation, Public Economics and Management

Print ISBN: 978-3-319-50163-5

Electronic ISBN: 978-3-319-50164-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-50164-2_13