From Consumer Decision to Market Share – Unanimity of Majority
Bibliographic Data
| ID | 7534970 |
|---|---|
| Authors | Agnieszka Kowalska-Styczeń (0000-0002-7404-9638, Silesian University of Technology, corresponding author), Katarzyna Sznajd-Weron (0000-0002-1851-8508, Wrocław University of Science and Technology) |
| Year | 2016 |
| Volume | 19 |
| Issue | 4 |
| Publication date | 2016-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Artificial Societies and Social Simulation (JOURNAL) |
| Journal identifiers | ISSN: 1460-7425 • E-ISSN: 1460-7425 |
| Publisher | Journal of Artificial Societies and Social Simulation (PUBLISHER) |
| DOI | 10.18564/jasss.3156 |
| OpenAlex | W2542427482 |
| Language | EN |
| Citations received | 2 |
| References cited | 9 |
We use a general cellular automata model to study the consumer decision-making process. Within this general model we use three di erent rules governing word-of-mouth communication (w-o-m), one majority rule and two unanimity rules, and ask the question if di erences between these three w-o-m rules, introduced on the microscopic level, will manifest on the macroscopic level. We show that in the model with the majority rule the neighborhood plays a significant role in terms of the market shares whereas movement (interpreted as seeking for information in other sources) is almost negligible. Exactly the opposite phenomena are observed for models in which unanimity, instead of majority, is needed to convince agents. We also introduce a modification of the unanimity rule, based on the Latane theory of the social influence, and show that on the macroscopic level this modification is indistinguishable from the simple unanimity rule. We conclude the paper with a recommendation which rules are more appropriate to model particular marketing phenomena
Cellular automaton · Economics · Epistemology · Majority rule · Mathematical economics · Microeconomics · Political science · Simple (philosophy · Unanimity · Cellular Automata and Applications · Computer Science · Game Theory and Applications · Law · Opinion Dynamics and Social Influence · Artificial Intelligence
| Citations per year | 0.22 |
|---|---|
| Citation span | 2017 - 2022 (6) |
| Highly cited | No |