Reference health
A Fast Method for Agent-Based Model Fitting Aggregate-Level Diffusion Data
52/52 checkable references clean · checked 2026-08-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
4 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.
The 52 checked references that resolve
resolves10.1111/j.1540-5885.2010.00793.x
A New Model for University‐Industry Links in Knowledge‐Based Economies<sup>*</sup>
resolves10.1016/j.ejor.2011.07.040
Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach
resolves10.1287/mnsc.1040.0300
Comments on “A New Product Growth for Model Consumer Durables The Bass Model”
resolves10.1108/s1548-6435(2007)0000003006
A Critical Review of Marketing Research on Diffusion of New Products
resolves10.1016/j.ejor.2016.07.007
Optimizing systematic technology adoption with heterogeneous agents
resolves10.1016/j.indmarman.2008.08.006
Role of network structure and network effects in diffusion of innovations
resolves10.1016/j.jbusres.2007.02.002
Targeting and timing promotional activities: An agent-based model for the takeoff of new products
resolves10.1111/j.1540-5885.2010.00714.x
Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion
resolves10.1287/mksc.1120.0711
Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data
resolves10.1287/opre.1100.0818
Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure
resolves10.1111/j.1540-5885.2005.00136.x
Uses of Agent‐Based Modeling in Innovation/New Product Development Research<sup>*</sup>
resolves10.1016/j.jbusres.2007.02.007
Validating agent-based marketing models through conjoint analysis
resolves10.1057/jors.2009.170
An agent-based simulation approach for the new product diffusion of a novel biomass fuel
resolves10.1016/j.ejor.2015.07.051
Impacts of knowledge on online brand success: an agent-based model for online market share enhancement
resolves10.1287/mnsc.44.8.1115
Technological Forecasting—Model Selection, Model Stability, and Combining Models
resolves10.1287/mksc.18.2.115
A Bayesian Model to Forecast New Product Performance in Domestic and International Markets
resolves10.1016/j.ijresmar.2009.12.012
Innovation diffusion and new product growth models: A critical review and research directions
resolves10.1287/mnsc.1070.0787
Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models
resolves10.1287/mksc.1.1.57
Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance
resolves10.1016/j.techfore.2008.03.024
Agent-based modeling of the diffusion of environmental innovations — An empirical approach
resolves10.1287/mksc.5.2.169
Technical Note—Nonlinear Least Squares Estimation of New Product Diffusion Models
resolves10.1016/j.ejor.2015.03.008
Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach
resolves10.1287/isre.1100.0339
Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube
resolves10.1509/jmr.11.0508
Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors
resolves10.1287/mksc.1040.0056
Evolutionary Estimation of Macro-Level Diffusion Models Using Genetic Algorithms: An Alternative to Nonlinear Least Squares
resolves10.1257/aer.99.5.1899
Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning
resolves10.1007/s10462-017-9577-z
Empirically grounded agent-based models of innovation diffusion: a critical review
resolves10.1111/j.1540-5885.2011.00789.x
A Study of the Diffusion of Alternative Fuel Vehicles: An Agent‐Based Modeling Approach<sup>*</sup>
resolves10.1111/j.1540-5885.2011.00790.x
Evaluating Government's Policies on Promoting Smart Metering Diffusion in Retail Electricity Markets via Agent‐Based Simulation<sup>*</sup>
resolves10.1016/j.ejor.2015.08.065
Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations
The 4 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checkedOn the evolution of random graphs
no DOI — not checkedUsing complex systems analysis to advance marketing theory development: Modeling heterogeneity effects on new product growth through stochastic cellular automata
no DOI — not checkedTime out of joint: Attractors in asynchronous random boolean networks
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-03 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.2139/ssrn.2844202"><img src="https://citestamp.com/citestamped/10.2139/ssrn.2844202/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.2139/ssrn.2844202)