1 |
Akinola, A.A. (1986) An application of Bass's model in the analysis of diffusion of cocoa‐spraying chemicals among Nigerian cocoa farmers, Journal of Agricultural Economics, 37(3), 395-404.
DOI
|
2 |
Atteridge, A., Weitz, N. and Nilsson, M. (2013) Technology innovation in the Indian clean cooking sector: identifying critical gaps in enabling conditions, Working Paper, Stockholm Environment Institute.
|
3 |
Avila, L.A.P., Lee, D.J. and Kim, T. (2018) Diffusion and competitive relationship of mobile telephone service in Guatemala: an empirical analysis, Telecommunications Policy, 42(2), 116-126.
DOI
|
4 |
Bass, F.M. (1969) A new product growth for model consumer durables, Management Science, 15(5), 215-227.
DOI
|
5 |
Boateng, R. (2016) Research Made Easy, CreateSpace Independent Publishing Plat form.
|
6 |
Bretschneider, S.I. and Mahajan, V. (1980) Adaptive technological substitution models, Technological Forecasting and Social Change, 18(2), 129-139.
DOI
|
7 |
Chandrasekaran, D. and Tellis, G.J. (2007) A critical review of marketing research on diffusion of new products, Review of Marketing Research, 3(1), 39-80.
DOI
|
8 |
DeSilva, H., Ratnadiwakara, D. and Zainudeen, A. (2009) Social influence in mobile phone adoption: evidence from the bottom of pyramid in emerging Asia, Available at SSRN 1564091.
|
9 |
Du, K.L. and Swamy, M. (2016) Simulated Annealing Search and Optimization by Metaheuristics, 29-36, Springer.
|
10 |
Fisher, J.C. and Pry, R.H. (1971) A simple substitution model of technological change, Technological Forecasting and Social Change, 3, 75-88.
DOI
|
11 |
Fourt, L.A. and Woodlock, J.W. (1960) Early prediction of market success for new grocery products, Journal of Marketing, 25(2), 31-38.
DOI
|
12 |
Gore, A. and Lavaraj, U. (1987) Innovation diffusion in a heterogeneous population, Technological Forecasting and Social Change, 32(2), 163-167.
DOI
|
13 |
Griliches, Z. (1957) Hybrid corn: An exploration in the economics of technological change, Econometrica, Journal of the Econometric Society, 501-522.
|
14 |
Guo, Y. and Liu, W. (2014) Empirical research on the diffusion of home appliances to the rural areas in China based on Bayesian estimated bass model, Modelling and Computer Technologies, 18(10), 35-39.
|
15 |
Heeks, R. (2012) IT innovation for the bottom of the pyramid, Communications of the ACM, 55(12), 24-27.
DOI
|
16 |
Heeler, R.M. and Hustad, T.P. (1980) Problems in predicting new product growth for consumer durables, Management Science, 26(10), 1007-1020.
DOI
|
17 |
Hwang, J., Cho, Y. and Long, N.V. (2009) Investigation of factors affecting the diffusion of mobile telephone services: an empirical analysis for Vietnam, Telecommunications Policy, 33(9), 534-543.
DOI
|
18 |
Jeon, J. and Suh, Y. (2017) Analyzing the major issues of the 4th industrial revolution, Asian Journal of Innovation and Policy, 6(3), 262-273.
DOI
|
19 |
Lamberson, P. (2008) The diffusion of hybrid electric vehicles, Future Research Directions in Sustainable Mobility and Accessibility, Available at http://www.umsmart.org/project_research/Future_directions.pdf.
|
20 |
Lenk, P.J. and Rao, A.G. (1990) New models from old: forecasting product adoption by hierarchical Bayes procedures, Marketing Science, 9(1), 42-53.
DOI
|
21 |
Mahajan, V., Muller, E. and Bass, F.M. (1990) New product diffusion models in marketing: a review and directions for research, The Journal of Marketing, 1-26.
|
22 |
Massiani, J. (2013) The use of stated preferences to forecast alternative fuel vehicles market diffusion: comparisons with other methods and proposal for a synthetic utility function, Available at SSRN 2275756.
|
23 |
Meade, N. and Islam, T. (2015) Forecasting in telecommunications and ICT - a review, International Journal of Forecasting, 31(4), 1105-1126.
DOI
|
24 |
Mitra, S. (2018) A methodology to forecast diffusion of innovative products with scarce data: two cases from subsistence markets, Paper presented at the Eighteenth Consortium of Students in Management Research (COSMAR), An Annual Research Consortium, Bangalore, November 29-30, 2018.
|
25 |
Moon, Y.E. and Christina L.D. (2002) Microsoft: positioning the tablet PC, Harvard Business School Case 502-051, Revised January 2003.
|
26 |
Muller, E., Peres, R. and Mahajan, V. (2009) Innovation diffusion and new product growth, Cambridge, MA: Marketing Science Institute.
|
27 |
Ofek, E. (2005a) Forecasting the adoption of a new product, Cambridge: Mass.: Harvard Business School Case 0-505-062.
|
28 |
Ofek, E. (2005b) Forecasting the adoption e-books, Cambridge: Mass.: Harvard Business School Case 0-505-063.
|
29 |
Peres, R., Muller, E. and Mahajan, V. (2010) Innovation diffusion and new product growth models: a critical review and research directions, International Journal of Research in Marketing, 27(2), 91-106.
DOI
|
30 |
McRoberts, N. (2008) A diffusion model for the adoption of agricultural innovations in structured adopting populations, working paper, Edinburgh: Land Economy Research Group.
|
31 |
Purohit, P. and Kandpal, T.C. (2005) Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models, Renewable and Sustainable Energy Reviews, 9(6), 592-607.
DOI
|
32 |
Putsis, W.P. (1998) Parameter variation and new product diffusion, Journal of Forecasting, 17(3‐4), 231-257.
DOI
|
33 |
Ratcliff, R. and Doshi, K. (2016) Using the Bass model to analyze the diffusion of innovations at the Base of the Pyramid, Business & Society, 55(2), 271-298.
DOI
|
34 |
Roe-Dale, R., Brown, C. and Staton, M. (2015) Modelling the diffusion of manual irrigation pumps in lower income countries with the Bass model, International Journal of Social Entrepreneurship and Innovation, 3(4), 245-258.
DOI
|
35 |
Rogers, E.M. (1962) Diffusion of Innovations, New York, Free Press.
|
36 |
Rogers, E.M. (1976) New product adoption and diffusion, Journal of Consumer Research, 290-301.
|
37 |
Rogers, E.M. (1983) Diffusion of Innovations, New York: The Free Press.
|
38 |
Rutenbar, R.A. (1989) Simulated annealing algorithms: an overview, IEEE Circuits an Devices Magazine, 5(1), 19-26.
DOI
|
39 |
Ryan, B. and Gross, N. (1950) Acceptance and diffusion of hybrid corn seed in two Iowa communities, Research Bulletin - Iowa Agriculture and Home Economics Experiment Station, 29(372), 1.
|
40 |
Schmittlein, D.C. and Mahajan, V. (1982) Maximum likelihood estimation for an innovation diffusion model of new product acceptance, Marketing Science, 1(1), 57-78.
DOI
|
41 |
Shrimali, G., Slaski, X., Thurber, M.C. and Zerriffi, H. (2011) Improved stoves in India: a study of sustainable business models, Energy Policy, 39(12), 7543-7556.
DOI
|
42 |
Slaski, X. and Thurber, M. (2009) Research note: cookstoves and obstacles to technology adoption by the poor, working paper, Program on Energy and Sustainable Development, 89.
|
43 |
Srinivasan, V. and Mason, C.H. (1986) Technical note-nonlinear least squares estimation of new product diffusion models, Marketing Science, 5(2), 169-178.
DOI
|
44 |
Talukdar, D., Sudhir, K. and Ainslie, A. (2002) Investigating new product diffusion across products and countries, Marketing Science, 21(1), 97-114.
DOI
|
45 |
Venkatesan, R., Krishnan, T.V. and Kumar, V. (2004) Evolutionary estimation of macro-level diffusion models using genetic algorithms: an alternative to nonlinear least squares, Marketing Science, 23(3), 451-464.
DOI
|
46 |
Venkatesan, R. and Kumar, V. (2002) A genetic algorithms approach to growth phase forecasting of wireless subscribers, International Journal of Forecasting, 18(4), 625-646.
DOI
|
47 |
Viswanathan, M., Sridharan, S. and Ritchie, R. (2010) Understanding consumption and entrepreneurship in subsistence marketplaces, Journal of Business Research, 63(6), 570-581.
DOI
|
48 |
Webster's New World College Dictionary (2004) 4th Edition, Cleveland: Wiley.
|
49 |
Wenrong, W., Xie, M. and Tsui, K. (2006) Forecasting of mobile subscriptions in Asia pacific using Bass diffusion model, June, 2006 IEEE International Conference, Management of Innovation and Technology, 1, 300-303.
|
50 |
White, M.R.M. (1988) Small firms' innovation: why regions differ, Policy Studies Institute, 690.
|
51 |
Xie, J., Song, X.M., Sirbu, M. and Wang, Q. (1997) Kalman filter estimation of new product diffusion models, Journal of Marketing Research, 378-393.
|