Customer Lifetime Value - Application to Banking Sector
Název práce v češtině: | Hodnota zákazníka s aplikací v bankovním sektoru |
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Název v anglickém jazyce: | Customer Lifetime Value - Application to Banking Sector |
Klíčová slova: | Customer, Bank, Lifetime, Profit, Probability, Product, Regression, Revenue, Value |
Klíčová slova anglicky: | Customer, Bank, Lifetime, Profit, Probability, Product, Regression, Revenue, Value |
Akademický rok vypsání: | 2014/2015 |
Typ práce: | diplomová práce |
Jazyk práce: | angličtina |
Ústav: | Institut ekonomických studií (23-IES) |
Vedoucí / školitel: | prof. PhDr. Ladislav Krištoufek, Ph.D. |
Řešitel: | skrytý![]() |
Datum přihlášení: | 08.06.2015 |
Datum zadání: | 08.06.2015 |
Datum a čas obhajoby: | 14.09.2016 00:00 |
Místo konání obhajoby: | IES |
Datum odevzdání elektronické podoby: | 25.07.2016 |
Datum proběhlé obhajoby: | 14.09.2016 |
Oponenti: | PhDr. Jaromír Baxa, Ph.D. |
Kontrola URKUND: | ![]() |
Seznam odborné literatury |
Československá obchodní banka, a. s. (2015): Československá obchodní
banka, a. s.,1H 2015 Activity Report.; https://www.csob.cz/portal/ documents/10710/444804/csob-pololetni-zprava-1h2015.pdf. Benoit, D. F. & D. Van den Poel (2009): Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in fnancial services.; Expert Systems with Applications 36(7): pp. 10475 - 10484. Berger, P. D. & N. I. Nasr (1998): Customer lifetime value: Marketing models and applications.; Journal of interactive marketing 12(1): pp. 17- 30. Blau, F. D. (2016): Gender, Inequality, and Wages. Number 9780198779971 in OUP Catalogue. Oxford University Press. Bogoslaw, D. (2009): A peak earning years portfolio.; Bloomberg Business week . Borle, S., S. S. Singh, & D. C. Jain (2008): Customer lifetime value measurement.; Management science 54(1): pp. 100-112. Breiman, L., J. Friedman, C. J. Stone, & R. A. Olshen (1984): Classif- cation and regression trees. CRC press. Chen, Z.-Y. & Z.-P. Fan (2013): Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel svr approach.; Knowledge-Based Systems 43: pp. 123-134. Donkers, B., P. C. Verhoef, & M. G. de Jong (2007): Modeling clv: A test of competing models in the insurance industry.; Quantitative Marketing and Economics 5(2): pp. 163-190. Dwyer, F. R. (1997): Customer lifetime valuation to support marketing decision making.; Journal of Interactive Marketing 11(4): pp. 6-13. Ekinci, Y., N. Uray, & F. Ulengin (2014): A customer lifetime value model for the banking industry: a guide to marketing actions.; European Journal of Marketing 48(3/4): pp. 761-784. Fader, P. S., B. G. Hardie, & K. L. Lee (2005): Rfm and clv: Using iso-value curves for customer base analysis.; Journal of Marketing Research 42(4): pp. 415-430. Greene, W. H. (2003): Econometric analysis. Pearson Education India. Gupta, S., D. Hanssens, B. Hardie, W. Kahn, V. Kumar, N. Lin, N. Ravishanker, & S. Sriram (2006): Modeling customer lifetime value.; Jour- nal of Service Research 9(2): pp. 139-155. Haenlein, M., A. M. Kaplan, & A. J. Beeser (2007): A model to determine customer lifetime value in a retail banking context.; European Man- agement Journal 25(3): pp. 221-234. Ho, T.-H., Y.-H. Park, & Y.-P. Zhou (2006): Incorporating satisfaction into customer value analysis: Optimal investment in lifetime value.; Marketing Science 25(3): pp. 260-277. Hughes, A. M. (2005): Strategic database marketing. McGraw-Hill Pub. Co. Hwang, H., T. Jung, & E. Suh (2004): An ltv model and customer segmentation based on customer value: a case study on the wireless telecommunication industry.; Expert systems with applications 26(2): pp. 181-188. Jain, D. & S. S. Singh (2002): Customer lifetime value research in marketing: A review and future directions.; Journal of interactive marketing 16(2): pp. 34-46. Jamal, A. & C. Sundar (2011): Modeling exchange rates with neural networks.; Journal of Applied Business Research (JABR) 14(1): pp. 1-6. Jeng, J.-M. & D. R. Fesenmaier (2014): A neural network approach to discrete choice modeling.; Recent Advances in Tourism Marketing Research p. 119. Kim, S.-Y., T.-S. Jung, E.-H. Suh, & H.-S. Hwang (2006): Customer segmentation and strategy development based on customer lifetime value: A case study.; Expert systems with applications 31(1): pp. 101-107. Kotler, P. (1974): Marketing during periods of shortage.; The Journal of Marketing pp. 20-29. Malthouse, E. C. & R. C. Blattberg (2005): Can we predict customer lifetime value?; Journal of interactive marketing 19(1): pp. 2-16. Moshiri, S. & N. E. Cameron (1999): Neural network versus econometric models in forecasting in action.; Journal of forecasting 19. Pfeifer, P. E. & R. L. Carraway (2000): Modeling customer relationships as markov chains.; Journal of interactive marketing 14(2): pp. 43-55. Politis, D. (2009): Socioeconomic and legal implications of electronic intru- sion. IGI Global. Reichheld, F. F. & T. Teal (2001): The loyalty effect: The hidden force behind growth, profits, and lasting value. Harvard Business Press. Reinartz, W. J. & V. Kumar (2000): On the profitability of long-life customers in a noncontractual setting: An empirical investigation and implications for marketing.; Journal of marketing 64(4): pp. 17-35. Reinartz, W. J. & V. Kumar (2003): The impact of customer relationship characteristics on profitable lifetime duration.; Journal of marketing 67(1): pp. 77-99. Schmittlein, D. C., D. G. Morrison, & R. Colombo (1987): Counting your customers: Who-are they and what will they do next?; Management science 33(1): pp. 1-24. Smola, A. J. & B. Scholkopf (2004): A tutorial on support vector regression.; Statistics and computing 14(3): pp. 199-222. Česká spořitelna, a. s. (2015): Česká spořitelna, a. s., 2015 Half Year Report.; https://www.csas.cz/static_internet/cs/Obecne_informace/ FSCS/Obecne/Prilohy/cs_pololetni_zprava_2015.pdf. Venkatesan, R. & V. Kumar (2004): A customer lifetime value framework for customer selection and resource allocation strategy.; Journal of marketing 68(4): pp. 106-125. Verhoef, P. C. & B. Donkers (2001): Predicting customer potential value an application in the insurance industry.; Decision support systems 32(2): pp. 189-199. Wooldridge, J. (2012): Introductory econometrics: A modern approach. Cengage Learning. Wooldridge, J. M. (2010): Econometric analysis of cross section and panel data. MIT press. Zeithaml, V. A., K. N. Lemon, & R. T. Rust (2001): Driving customer equity: How customer lifetime value is reshaping corporate strategy. Simon and Schuster. Zeng, L. (1999): Prediction and classification with neural network models.; Sociological methods & research 27(4): pp. 499-524. |
Předběžná náplň práce |
Estimating customer lifetime values of individual clients or client groups in different time horizons, as well as the time they remain with the company, using ČSOB internal client’s data. Results should help to target valuable customers and asses the profitability of company’s particular products. |
Předběžná náplň práce v anglickém jazyce |
Estimating customer lifetime values of individual clients or client groups in different time horizons, as well as the time they remain with the company, using ČSOB internal client’s data. Results should help to target valuable customers and asses the profitability of company’s particular products. |