Studying product diffusion based on market coverage
Tóm tắt
Market coverage is an important attribute for determining the success of a product. The larger the market covered by a product is, the higher the amount of sales for that product will be. Market coverage strategies thus contribute to the success of a product in tapping the market. In this study, we emphasize the impact of market coverage on the rate of adoption in determining product sales. New product diffusion models based on the market covered are proposed. A methodological approach of weighted criteria is implemented to evaluate and rank the proposed models. The analysis is conducted on real-life sales datasets.
Tài liệu tham khảo
Aggrawal, D., Singh, O., Anand, A. and Agarwal, M. (2014) Optimal introduction timing policy for a successive generational product. International Journal of Technology Diffusion (IJTD) 5(1): 1–16
Anand, A., Kapur, P.K, Agarwal, M. and Aggarwal, D. (2014) Generalised innovation diffusion modeling & weighted criteria based ranking. In: Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), pp. 319–325
Anand, A. (2013) A study of innovation adoption & warranty analysis in marketing and successive software releases, Ph.D. Thesis, University of Delhi, Delhi
Bass, F.M. (1969) A new product growth model for consumer durables. Management Science 15(5): 215–224
Bass, F.M. (2004a) The bass model: A commentary. Management Science 50(12): 1833–1840.
Bass, F.M. (2004b) A new product growth model for consumer durables. Management Science 50(12): 1825–1832 (reprinted from January (1969)).
Bemmaor, A.C. and Lee, J. (2002) The impact of heterogeneity and Ill-conditioning on diffusion model parameter estimates. Marketing Science 21: 209–220.
Bruyn, A.D. and Lilien, G.L. (2008) A multi-stage model of word-of-mouth influence through viral marketing. International Journal of Research in Marketing 25: 151–163
Centrone, F., Goia, A. and Salinelli, E. (2007) Demographic processes in a model of innovation diffusion with a dynamic market. Technological Forecasting & Social Change 74: 247–266
Cetin, E. (2006) Determining the optimal duration of an advertising campaign using diffusion of information. Applied Mathematics and Computation 173: 430–442
Cherunilam, F. (2010) International Business: Test and Cases. 5th edn. PHI Learning Pvt. Ltd.
Cuong, N.H., Thang, H.Q. and Trieu, L.H. (2014) Different ranking of NHPP software reliability growth models with generalised measure and predictability. International Journal of Applied Information Systems 7(11): 1
Kapur, P.K., Bardhan, A.K. and Jha, P.C. (2004) An alternative formulation of innovation diffusion model and its extension. In: V.K. Kapoor (ed.) Mathematics and Information Theory, New Delhi: Anamya Publication, pp. 17–23
Kapur, P.K., Singh, V.B., Anand, S. and Yadavalli, V.S.S. (2007) An innovation diffusion model incorporating change in adoption rate. Management Dynamics South Africa 16(1): 33–40.
Kapur, P.K., Singh, G., Singh, O. and Anand, A. (2012a) Assessing diffusion process in context of customer behaviour based on fluctuation in adoption rate. International Journal of Mathematical Modeling, Simulation and Applications 5(1): 1–10
Kapur, P.K., Chaudhary, K., Aggarwal, A.G. and Jha, P.C. (2012b) On the development of innovation diffusion model using stochastic differential equation incorporating change in the adoption rate. International Journal of Operational Research 14(4): 472–484.
Kapur, P.K., Aggarwal, A.G., Garmabaki, A. and Singh, G. (2013) Modelling diffusion of successive generations of technology: A general framework. International Journal of Operational Research 16(4): 465–484
Krmenec, A.J. and Esparza, A. (1993) Modeling interaction in a system of markets. Geographical Analysis 25: 354–368
Lentnek, B., MacPherson, A. and Phillips, D. (1995) A market coverage model for producer services. Papers in Regional Science 74: 389–399
Mahajan, V. and Muller, E. (1982) Innovative behavior and repeat purchase diffusion models. In: AMA 1982 Educator’s Conference Proceedings, Series No. 48, American Marketing Association, Chicago, pp. 456–460.
Pham, H. and Zhang, X. (2003) NHPP software reliability and cost models with testing coverage. EJOR 145: 443–454
Singh, O., Kapur, P.K. and Anand, A. (2011) A dynamic potential adopter diffusion model incorporating change in the adoption rate. In: Proceedings of the International Congress on Productivity, Quality, Reliability, Optimization and Modeling (ICPQROM-2011), pp. 593–604
Singh, O., Anand, A., Kapur, P.K. and Aggrawal, D. (2012) Consumer behavior-based innovation diffusion modeling using stochastic differential equation incorporating change in adoption rate. International Journal Technology Marketing 7(4)
Yang, H. and Ye, L. (2008) Nonlinear pricing, market coverage, and competition. Theoretical Economics Journal of Econometric Society 3(1): 123