Reference health
Aggregate diffusion forecasting models in marketing: A critical review
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22 of 137 checkable references need attention · checked 2026-08-03
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
46 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.1016/0737-6782(87)90028-2
does not resolve to a known work10.1016/0737-6782(88)90024-0
does not resolve to a known work10.1016/0737-6782(89)90010-6
does not resolve to a known work10.2307/1248608
does not resolve to a known work10.2307/1252219
does not resolve to a known work10.2307/1391978
does not resolve to a known work10.2307/2282779
does not resolve to a known work10.2307/1250037
does not resolve to a known work10.2307/1250271
does not resolve to a known work10.2307/1252170
does not resolve to a known work10.2307/1250742
does not resolve to a known work10.1016/0737-6782(85)90023-2
does not resolve to a known work10.2307/1252237
does not resolve to a known work10.1016/0737-6782(86)90002-0
does not resolve to a known work10.1016/0737-6782(85)90015-3
does not resolve to a known work10.1016/0737-6782(85)90034-7
does not resolve to a known work10.1016/0737-6782(87)90056-7
does not resolve to a known work10.2307/1251475
does not resolve to a known work10.2307/1391836
does not resolve to a known work10.1016/S0737-6782(84)80039-9
does not resolve to a known work10.2307/1391969
does not resolve to a known work10.2307/1391818
The 115 checked references that resolve
resolves10.1111/j.1477-9552.1986.tb01607.x
AN APPLICATION OF BASS'S MODEL IN THE ANALYSIS OF DIFFUSION OF COCOA‐SPRAYING CHEMICALS AMONG NIGERIAN COCOA FARMERS
resolves10.1016/0167-8116(92)90007-8
Reliability criteria bolster product classification decisions: A reply to Jones
resolves10.1016/0167-8116(92)90005-6
Classifying early product life cycle forms via a diffusion model: Problems and prospects
resolves10.1086/296099
The Relationship Between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations
resolves10.1287/mnsc.39.11.1319
High-Definition Television: Assessing Demand Forecasts for a Next Generation Consumer Durable
resolves10.1016/0040-1625(87)90021-7
Logistic and energy substitution models for electricity forecasting: A comparison using New Zealand consumption data
resolves10.1016/0040-1625(86)90014-4
Adaptive diffusion models for the growth of robotics in New York state industry
resolves10.1016/0169-2070(91)90001-C
New technology adoption in an innovative marketplace: Micro- and macro-level decision making models
resolves10.1287/mnsc.36.9.1057
The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach
resolves10.1111/j.1467-9310.1992.tb00789.x
Diffusion paths in a high‐tech environment: clusters and commonalities
resolves10.1016/0040-1625(81)90021-4
A nonsymmetric responding logistic model for forecasting technological substitution
resolves10.1287/mksc.2.3.273
A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance
resolves10.1016/0167-8116(87)90010-3
Early product life cycle forms for infrequently purchased major products
resolves10.1016/0169-2070(89)90065-4
An analogical approach to the long term forecasting of major new product sales
resolves10.1287/mksc.5.1.20
The Impact of Competitive Entry in a Developing Market Upon Dynamic Pricing Strategies
resolves10.1287/mksc.9.4.342
A Diffusion Model Incorporating Product Benefits, Price, Income and Information
resolves10.1016/0148-2963(88)90079-3
The timeliness problem in the application of bass-type new product-growth models to durable sales forecasting
resolves10.1016/0022-0531(82)90021-7
Adoption and diffusion of an innovation of uncertain profitability
resolves10.1016/0167-8116(92)90006-7
A comment on “Classifying early product life cycle forms via a diffusion model: Problems and prospects” by Balasubramanian and Ghosh
resolves10.1002/for.3980060102
Long‐term forecasting with innovation diffusion models: The impact of replacement purchases
resolves10.1016/0167-8116(88)90012-2
Long-term view of the diffusion of durables A study of the role of price and adoption influence processes via tests of nested models
resolves10.1007/BF01206036
An extension of mixed estimation, with an application to forecasting new product growth
resolves10.1016/0169-2070(93)90059-V
Are economic forecasts significantly better than naive predictions? An appropriate test
resolves10.1109/17.141273
Technological innovation diffusion: the proliferation of substitution models and easing the user's dilemma
resolves10.1016/0040-1625(90)90045-W
On interpreting probability distributions fitted to times of first adoption
resolves10.1016/0377-2217(84)90312-6
Converging conflicting forecasting parameters in forecasting durable new product sales
resolves10.1016/0040-1625(87)90023-0
On a family of data-based transformed models useful in forecasting technological substitutions
resolves10.1287/mksc.9.1.42
New Models from Old: Forecasting Product Adoption by Hierarchical Bayes Procedures
resolves10.1287/mnsc.27.5.493
Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment
resolves10.1016/0040-1625(94)90047-7
Innovation diffusion in a borderless global market: Will the 1992 unification of the European Community accelerate diffusion of new ideas, products, and technologies?
resolves10.1016/0040-1625(86)90031-4
A simple algebraic estimation procedure for innovation diffusion models of new product acceptance
resolves10.1287/mnsc.34.10.1188
The Adoption of the M-Form Organizational Structure: A Test of Imitation Hypothesis
resolves10.1002/for.3980030406
The use of growth curves in forecasting market development—a review and appraisal
resolves10.1016/0040-1625(92)90058-2
Chaoslike states can be expected before and after logistic growth
resolves10.2307/3172706
Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy?
resolves10.1007/BF00993923
Incorporating heterogeneous adoption rates in new product diffusion: A model and empirical investigations
resolves10.1287/mnsc.33.9.1069
A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products
resolves10.1016/0167-8116(94)90032-9
Specifying competitive effects in diffusion models: An empirical analysis
resolves10.2307/3151425
Competition, Strategy, and Price Dynamics: A Theoretical and Empirical Investigation
resolves10.1016/0304-4076(89)90034-1
Predicting criminal recidivism using ‘split population’ survival time models
resolves10.1287/mksc.1.1.57
Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance
resolves10.1016/0040-1625(80)90026-8
The Weibull distribution as a general model for forecasting technological change
resolves10.1016/0040-1625(81)90041-X
Binomial innovation diffusion models with dynamic potential adopter population
resolves10.1016/0040-1625(86)90030-2
Innovation diffusion models expressing asymmetry and/or positively or negatively influencing forces
resolves10.1287/mksc.5.2.169
Technical Note—Nonlinear Least Squares Estimation of New Product Diffusion Models
resolves10.1016/0040-1625(85)90034-4
A multi-attribute diffusion model for forecasting the adoption of investment alternatives for consumers
resolves10.1016/0040-1625(76)90008-1
The normal distribution as a model of technological substitution
resolves10.1287/mksc.11.1.39
A Choice-Based Approach to the Diffusion of a Service: Forecasting Fax Penetration by Market Segments
resolves10.1016/0040-1625(85)90048-4
The use of discounted least squares in technological forecasting
The 46 references without a DOI — listed, not checked
no DOI — not checkedSimple approaches to evaluate competing non-nested models in marketing
no DOI — not checkedThe Adoption of a Marketing Model: Comments and Observations
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB9
no DOI — not checkedA flexible logistic growth model with application in telecommunications
no DOI — not checkedIncorporating Consumer Resistance to Innovation in a New Product Diffusion Model: a New Model and a Simulation Comparison with Existing Models Consumer
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB26
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB27
no DOI — not checkedA practical methodology for estimating the market Volume for Consumer Durables
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB29
no DOI — not checkedStochastic Issues in Innovation Diffusion Models
no DOI — not checkedInnovation Diffusion Models with Stochastic Parameters: Forecasting and Planning Implications
no DOI — not checkedTrend Forecasting: A methodology for Figure of Merit
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB48
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB50
no DOI — not checkedAdvertising and the diffusion of new products
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB61
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB62
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB66
no DOI — not checkedDiffusion Models and the Marketing Mix for Single Products
no DOI — not checkedUsing Market Diffusion Models for Developing and Assessing Marketing Strategies Technical Products
no DOI — not checkedInnovation diffusion: some new technological substitution models
no DOI — not checkedModeling the Role of Risk-Adjusted Utility in the Diffusion of Innovations
no DOI — not checkedNew Product Forecasting, Diffusion Modeling with Scenario Sensitivity Analysis
no DOI — not checkedApplications of Diffusion Models: Some Empirical Results
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB88
no DOI — not checkedAn Evaluation of Estimation Procedures for New Product Diffusion Models
no DOI — not checkedA new product growth model with dynamic market potential
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB104
no DOI — not checkedApplications of Innovation Diffusion Models in Marketing
no DOI — not checkedAn approach to repeat purchase diffusion models
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB115
no DOI — not checkedExtensions of a new product growth model
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB126
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB130
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB131
no DOI — not checkedMulti-Product Growth Models
no DOI — not checkedDeterminants of innovative behavior
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB142
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB144
no DOI — not checkedStochastic Models for Forecasting and Diagnosing New Product Performance: an Application to the Motion Industry
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB151
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB152
no DOI — not checkedLa Théorie des Avalanches: Physique Sociale des Phénomènes de Propagation
no DOI — not checked10.1016/0169-2070(94)90013-2_BIB165
no DOI — not checkedFitting of growth curves over time when the data are obtained from a single realization
no DOI — not checkedForecasting with a revealed similarity map
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