Keyword

Bass diffusion model

Description: The Bass diffusion model is a mathematical model for forecasting the adoption of new products through innovation and imitation effects.

Primary topic: Innovation Diffusion and Forecasting (56%)

Wikidata ID: wiki/Q810438

OpenAlex ID: keywords/bass-diffusion-model

Diffusion of Innovation

2015 · C. Anthony Di Benedetto · Wiley Encyclopedia of Management · 1,051

A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products

1987 · John A. Norton, Frank M. Bass · Management Science · 932

New Product Diffusion Models in Marketing: A Review and Directions for Research

1990 · Vijay Mahajan, Eitan Muller, et al. · Journal of Marketing · 915

Why the Bass Model Fits without Decision Variables

1994 · Frank M. Bass, Trichy V. Krishnan, et al. · Marketing Science · 838

Modelling and forecasting the diffusion of innovation – A 25-year review

2006 · Nigel Meade, Towhidul Islam · International Journal of Forecasting · 821

New Product Diffusion Models in Marketing: A Review and Directions for Research

1990 · Vijay Mahajan, Eitan Muller, et al. · Journal of Marketing · 701

Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube

2011 · Anjana Susarla, Jeong-Ha Oh, et al. · Information Systems Research · 631

Agent-based modeling in marketing: Guidelines for rigor

2011 · William Rand, Roland T. Rust · International Journal of Research in Marketing · 536

Comments on “A New Product Growth for Model Consumer Durables The Bass Model”

2004 · Frank M. Bass · Management Science · 504

Determination of Adopter Categories by Using Innovation Diffusion Models

1990 · Vijay Mahajan, Eitan Muller, et al. · Journal of Marketing Research · 453

Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test

2004 · Christophe Van den Bulte, Stefan Stremersch · Marketing Science · 434

Technical Note—Nonlinear Least Squares Estimation of New Product Diffusion Models

1986 · V. Srinivasan, Charlotte H. Mason · Marketing Science · 430

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Cross-National Analysis of Diffusion of Consumer Durable Goods in Pacific Rim Countries

1991 · Hirokazu Takada, Dipak Jain · Journal of Marketing · 394

Diffusion of New Products: Empirical Generalizations and Managerial Uses

1995 · Vijay Mahajan, Eitan Muller, et al. · Marketing Science · 385

Using Complex Systems Analysis to Advance Marketing Theory Development: Modeling Heterogeneity Effects on New Product Growth through Stochastic Cellular Automata

2001 · Barak Libai, Eitan Muller, et al. · 351

Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis

2017 · Zhi-Ping Fan, Yu-Jie Che, et al. · Journal of Business Research · 327

The impact of cultural differences on technology adoption

2012 · Sang-Gun Lee, Silvana Trimi, et al. · Journal of World Business · 327

Investigating New Product Diffusion Across Products and Countries

2002 · Debabrata Talukdar, K. Sudhir, et al. · Marketing Science · 300

Timing, diffusion, and substitution of successive generations of technological innovations: The IBM mainframe case

1996 · Vijay Mahajan, Eitan Muller · Technological Forecasting and Social Change · 299

A New Approach to Country Segmentation Utilizing Multinational Diffusion Patterns

1993 · Kristiaan Helsen, Kamel Jedidi, et al. · Journal of Marketing · 286

Predicting the Adoption of Electronic Health Records by Physicians: When Will Health Care be Paperless?

2005 · E. W. Ford, N. Menachemi, et al. · Journal of the American Medical Informatics Association · 275

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Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance

1982 · David C. Schmittlein, Vijay Mahajan · Marketing Science · 273

A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance

1983 · Christopher J. Easingwood, Vijay Mahajan, et al. · Marketing Science · 266

Supply chain finance: Optimal introduction and adoption decisions

2016 · David A. Wuttke, Constantin Blome, et al. · International Journal of Production Economics · 229

Binary-state dynamics on complex networks: pair approximation and beyond

2013 · Gleeson, James P. · Arrow@dit (Dublin Institute of Technology) · 222

Works count: 2,262

Citation count: 34,060