Saddle Points in Innovation Diffusion Curves: An Explanation from Bounded Rationality

2014 ◽  
pp. 73-82
Author(s):  
Lorena Cadavid ◽  
Carlos Jaime Franco Cardona
Keyword(s):  
Bounded Rationality ◽  
Innovation Diffusion ◽  
Saddle Points ◽  
Diffusion Curves

Theory Building, Case Dependence, and Researchers’ Bounded Rationality: An Illustration From Studies of Innovation Diffusion

2021 ◽  
pp. 004912412098620
Author(s):  
Nuno Oliveira ◽  
Davide Secchi
Keyword(s):  
Bounded Rationality ◽  
Innovation Diffusion ◽  
Case Study Research ◽  
Internal Validity ◽  
Theory Building ◽  
Comparative Case Study ◽  
Agent Based ◽  
Inductive Research ◽  
Multiple Case

Researchers increasingly take advantage of the comparative case design to build theory, but the degree of case dependence is occasionally discussed and theorized. We suggest that the comparative case study design might be subject to an often underappreciated threat—dependence across cases—under certain conditions. Using research on innovation diffusion as an illustration, we explore the role of social linkages across cases when building theory through comparison and contrast between cases. We develop an agent-based simulation, grounded by comparative case research about innovation diffusion, as novel way to study the implications of case dependence in theory building using multiple-case study research. Our simulation results suggest that the degree of case dependence has a nontrivial bearing on innovation diffusion experienced by case entities, specifically when the researcher draws a few case entities operating in a highly interconnected industry. Under these conditions, overlooking the degree of case dependence might weaken newly built theory against commonly held standards of internal validity and external validity in inductive research. We conceptualize the issue of case dependence as a concern about researchers’ bounded rationality. Accordingly, we build on our findings to provide actionable advice aiming to alleviate this concern while being amendable to the variety of approaches to build theory from multiple cases in social sciences.

scholarly journals Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China

2019 ◽  
Vol 16 (18) ◽  
pp. 3349
Author(s):  
Junjun Zheng ◽  
Mingyuan Xu ◽  
Ming Cai ◽  
Zhichao Wang ◽  
Mingmiao Yang
Keyword(s):  
Cognitive Ability ◽  
Bounded Rationality ◽  
Innovation Diffusion ◽  
Diffusion Of Innovation ◽  
Classification System ◽  
Group Structure ◽  
Real Life ◽  
Group Behavior ◽  
Practical Significance ◽  
True Value

In real life, garbage has caused great pollution to the environment. A garbage classification system is an effective way to manage this issue, and is an innovation in Shanghai, China. Innovation diffusion is the topic of this paper. This study uses a mathematical statistics method to formulate individual bounded rationality, and uses the specific graph structure of a scale-free network to characterize group structure. Then, a model of group behavior is constructed and the simulation experiment is run on the Python platform. The results show that: (1) In the case of general cognitive ability and high value innovation, most individuals in the group will accept the innovation in the process of innovation dissemination in a garbage classification system after several rounds of the game; (2) it is more helpful to improve the cognitive ability of individuals and the true value of innovation for the diffusion of innovation; and (3) the larger a group, the greater the scope of innovation diffusion and the more time is needed. It is helpful to expand the scope and reduce the time of innovation diffusion by increasing connections among individuals. The innovation of this study is the characterization of individual bounded rationality, which has a certain theoretical value. Meanwhile, the research results of this paper have important practical significance for the promotion of garbage classification, which can be used to popularize the concept of garbage classification.

(Un)Bounded Rationality

1985 ◽  
Vol 30 (4) ◽  
pp. 263-265
Author(s):  
Donald E. Broadbent
Keyword(s):  
Bounded Rationality

Agent-Based Computational Model

2017 ◽  
Author(s):  
Joshua M. Epstein
Keyword(s):  
Computational Model ◽  
Bounded Rationality ◽  
Time Scales ◽  
Spatially Explicit ◽  
Agent Based ◽  
Affective Component ◽  
Elementary Type ◽  
Social Component ◽  
Different Time Scales

This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

Looking at Innovation through CCT Glasses: Consumer Culture Theory and Google Glass Innovation

2013 ◽  
Vol 1 (1) ◽  
pp. 38-54 ◽  
Author(s):  
Stefano Pace
Keyword(s):  
Innovation Diffusion ◽  
Consumer Culture ◽  
Preliminary Analysis ◽  
Consumer Behaviour ◽  
New Product ◽  
Google Glass ◽  
Culture Theory ◽  
Cultural Determinants ◽  
Functional Features ◽  
Consumer Culture Theory

Today innovation can be so radical and futuristic that common models of innovation diffusion might not be enough. The success of an innovation relies on the functional features of the new product, but also on how consumers shape the meaning of that innovation. Consumer Culture Theory (CCT) can help managers by focusing on the cultural determinants of consumer behaviour. The work provides a preliminary analysis of how consumers elaborate the cultural platform that will determine the degree of success of the upcoming innovation Google Glass.

Reasonable Bounds on Rationality

2020 ◽  
Author(s):  
Igor Grossmann ◽  
Richard Eibach
Keyword(s):  
Decision Making ◽  
Bounded Rationality ◽  
Cognitive Resources ◽  
Previous Theory ◽  
Making Choices ◽  
Points Of View ◽  
Sound Judgment

Previous theory and research on bounded rationality has emphasized how limited cognitive resources constrain people from making utility maximizing choices. This paper expands the concept of bounded rationality to consider how people’s rationality may be constrained by their internalization of a qualitatively distinct standard for sound judgment, which is commonly labeled reasonableness. In contrast to rationality, the standard of reasonableness provides guidance for making choices in situations that involve balancing incommensurable values and interests or reconciling conflicting points-of-view. We review recent evidence showing that laypeople readily recognize the distinctions between rationality and reasonableness and thus are able to utilize these as distinct standards to inform their everyday decision-making. The fact that people appear to have internalized rationality and reasonableness as distinct standards of sound judgment supports the notion that people’s pursuit of rationality may be bounded by their determination to also be reasonable.

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