Reasonable Bounds on Rationality

2020 ◽  
Author(s):  
Igor Grossmann ◽  
Richard Eibach

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.

2017 ◽  
Vol 55 (5) ◽  
pp. 987-1005 ◽  
Author(s):  
Piotr Tarka

Purpose The purpose of this paper is to diagnose two types of causal relationships from the perspective of the structural equations model. First, the relationship is analysed between managers’ beliefs regarding the use of marketing information in making decisions and the rational premises of decision validity. Next, the rational premises of decision validity are considered in reference to managers’ abilities to select appropriate information from marketing research reports. Taking into account all of the above premises, the author in the empirical research conducted here introduced the following two research hypotheses which state that: H1: the high level of managers’ beliefs about the usefulness of information from marketing research does not yet positively influence their way of reasoning and making decisions in the light of the bounded-rationality theory. H2: managers who do not use the bounded-rationality criteria of decision assessment, lack of the analytical approach in solving decision problems, also reflect the inability of selecting proper information from a marketing research report. Design/methodology/approach In the conducted empirical research, that is, in the process of gathering the information, the internet questionnaire survey was used, which included the author’s own version of items measuring respective latent variables. Next, to the chosen group of the respondents (invited to the survey through the two social networking sites: LinkedIn and Golden Line), a direct link to the questionnaire was sent via personal e-mails. The method of providing answers to the questions in the online survey included indicating by the respondents the answers on a seven-point Likert scale for the statements which were expressed in agree/disagree format. The whole empirical research was conducted between March 1 and August 31 in 2014, and the process of choosing the appropriate respondents to the sample was conducted with the use of the two techniques: judgemental sampling and snowball sampling. The final size of sample equalled n=213 and its structure included the individuals in companies, who have borne the responsibility mainly for the organisation and planning of strategic and tactic marketing activities. In short, the sample structure consisted of the respondents responsible for decision-making processes and included: marketing directors (45 per cent), product managers (27 per cent), managing directors and chief executive officers (20 per cent), as well as marketing executives (8 per cent). Findings On the basis of findings and the obtained empirical results it is argued that decision makers in companies, despite their strong declarations regarding the use of marketing information, in reality prefer to act in a non-analytical way when making choices. Managers, when faced with difficulties in information processing, adopt simple solutions in solving decision problems which are much closer to the irrational sphere of making choices. Thus the full potential of information that is available to them from marketing research is not even considered. This irrational behaviour in decisions as well as the lack of analytical thinking result in further consequences pertaining to the way that information is selected. Practical implications In spite of all theoretical arguments supporting the bounded-rational theory of making choices, the irrationality or, simply, the non-analytical thinking in decision-making processes in organisations takes place. The inability to use effectively information by managers in companies and failure to scrutinise their own processes of decision making on the basis of logic and reasoning is admittedly the Achille’s heel of many information users. Using information from marketing research in decisions, as well as undertaking the sequence of steps to ensure the valid decision-making process, seems to be a huge problem for managers. Taking into account, the empirical research findings, one can argue now that in spite of the managers’ conviction about the usefulness of the information from marketing research, that is, despite their declarations pertaining to use of information in decision-making processes, such information is in practice often ignored and not taken into account. Originality/value In the paper the author explains why, as is supported by empirical evidence, managers in companies decide to conceal their real beliefs concerning the usefulness of marketing information. Taking this into consideration, the indirect question of the empirical research conducted here is whether managers ever seriously consider marketing research results when making decisions?


2020 ◽  
Vol 32 (2) ◽  
pp. 159-184 ◽  
Author(s):  
Satoko Fujiwara ◽  
Tim Jensen

Abstract Donald Wiebe claims that the IAHR leadership (already before an Extended Executive Committee (EEC) meeting in Delphi) had decided to water down the academic standards of the IAHR with a proposal to change its name to “International Association for the Study of Religions.” His criticism, we argue, is based on a series of misunderstandings as regards: 1) the difference between the consultative body (EEC) and the decision-making body (EC), 2) the difference between the preliminary points of view of individuals and final proposals by the EC, 3) personal conversations, 4) the link between the proposal to change the name and the wish to tighten up the academic profile of the IAHR. Moreover, if the final decision-making bodies, the International Committee and the General Assembly, adopt the proposal, the new name as little as the old can make the IAHR more or less scientific. Tightening up the academic, scientific profile of the IAHR takes more than a change of name.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


2021 ◽  
pp. 1-38
Author(s):  
Yingya Jia ◽  
Anne S. Tsui ◽  
Xiaoyu Yu

ABSTRACT Optimal or rational decision making is not possible due to informational constraints and limits in computation capability of humans (March & Simon, 1958; March, 1978). This bounded rationality serves as a filtering process in decision making among business executives (Hambrick & Mason, 1984). In this study, we propose the concept of CEO reflective capacity as a behavior-oriented cognitive capability that may overcome to some extent the pervasive limitation of bounded rationality in executive decision-making. Following Hinkin's (1998) method and two executive samples, we developed and validated a three-dimensional measure of CEO reflective capacity. Based on two-wave surveys of CEOs and their executive-subordinates in 213 Chinese small-medium sized firms, we tested and confirmed three hypotheses on how CEO reflective capacity is related to a firm's sustainability performance (including economic, societal, and environmental dimensions) through the mediating mechanisms of strategic decision comprehensiveness and CEO behavioral complexity. We discuss the contribution of this study to the literature on the upper echelons and information processing perspectives. We also identify the implications for future research on strategic leadership and managerial cognition in complex and dynamic contexts.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 364-364
Author(s):  
Michaela Clark ◽  
Julie Hicks Patrick ◽  
Michaela Reardon

Abstract Consumer tasks permit an ecologically-valid context in which to examine the contributions of affective and cognitive resources to decision-making processes and outcomes. Although previous work shows that cognitive factors are important when individuals make decisions (Patrick et al., 2013; Queen et al.), the role of affective components is less clear. We examine these issues in two studies. Study 1 used data from 1000+ adults to inform a cluster analysis examining affective aspects (importance, meaningfulness) of making different types of decisions. A 4-cluster solution resulted. In Study 2, we used affective cluster membership and cognitive performance as predictors of experimental decision-making outcomes among a subset of participants (N = 60). Results of the regression (F(2, 40) = 6.51, p < .01, R2 = .25.) revealed that both the affective clusters (b = .37, p = .01) and cognitive ability (b = -.30, p = .04) uniquely contributed to the variance explained in decision quality. Age did not uniquely contribute. Results are discussed in the context of developing measures that enable us to move the field forward.


2003 ◽  
Vol 1 (1) ◽  
pp. 01-11 ◽  
Author(s):  
Stewart Clegg

The paper takes the assumptions of bounded rationality as the premise for organization theorizing. It draws a distinction between a science of objects and a science of subjects, arguing the latter as the more appropriate frame for organization analysis. Organization studies, it suggests, are an example of the type of knowledge that Flyvbjerg, following Aristotle, terms 'phronesis'. At the core of phronetic organization studies, the paper argues, there stands a concern with power, history and imagination. The core of the paper discusses power and the politics of organizing, to point up some central differences in approach to the key term in the trinity that the paper invokes. The paper concludes that organization theory and analysis is best cultivated not in an ideal world of paradigm consensus or domination but in a world of discursive plurality, where obstinate differences in domain assumptions are explicit and explicitly tolerated. A good conversation assumes engagement with alternate points of view, argued against vigorously, but ultimately, where these positions pass the criteria of reason rather than prejudice, tolerated as legitimate points of view. In so doing, it elaborates and defends criteria of reason.


2021 ◽  
Vol 129 ◽  
pp. 02010
Author(s):  
Renata Legenzova ◽  
Gintarė Leckė

Research background: Globalization, digitalization and growth of technological innovations trigger development of new financial services, such as real estate crowdfunding. Seeking better return opportunities individual investors often disregard neoclassical decision-making criteria, while behavioral factors, such as social influence, emotions, cognitive abilities are gaining importance. This paper addresses the role of family economics socialization as a complex process by which individuals acquire social skills, knowledge, behavior patterns needed to make investment decision by purposively or spontaneously interacting with their family members. Purpose of the article is to assess if and how family economic socialization impacts on investor behavior in real estate crowdfunding. Methods: Research data was collected through an online survey of Lithuanian real estate crowdfunding investors. Then structural equation modeling technique was employed to investigate the impact of family economic socialization on behavior of real estate crowdfunding investors. Findings & Value added: Findings revealed that majority of real estate crowdfunding investors make bounded rationality investment decisions. Family, as one of the main agents of the economic socialization, does not ensure rationality of the crowdfunding decision-making process. Purposive family economic socialization has no impact on the behavior of investors with bounded rationality, yet it has a significant impact on behavior of rational family members. Spontaneous family economic socialization proved to have a positive and significant impact on the behavior of investors with bounded rationality. Taking into consideration rapid global development of innovative financial services market, such results might be a troubling signal for the product developers and market regulators.


2019 ◽  
Author(s):  
Frederick Callaway ◽  
Antonio Rangel ◽  
Tom Griffiths

When faced with a decision between several options, people rarely fully consider every alternative. Instead, we direct our attention to the most promising candidates, focusing our limited cognitive resources on evaluating the options that we are most likely to choose. A growing body of empirical work has shown that attention plays an important role in human decision making, but it is still unclear how people choose with option to attend to at each moment in the decision making process. In this paper, we present an analysis of how a rational decision maker should allocate her attention. We cast attention allocation in decision making as a sequential sampling problem, in which the decision maker iteratively selects from which distribution to sample in order to update her beliefs about the values of the available alternatives. By approximating the optimal solution to this problem, we derive a model in which both the selection and integration of evidence are rational. This model predicts choices and reaction times, as well as sequences of visual fixations. Applying the model to a ternary-choice dataset, we find that its predictions align well with human data.


2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Seung-Lark Lim ◽  
J. Bradley C. Cherry ◽  
Ann M. Davis ◽  
S. N. Balakrishnan ◽  
Oh-Ryeong Ha ◽  
...  

Abstract As children grow, they gradually learn how to make decisions independently. However, decisions like choosing healthy but less-tasty foods can be challenging for children whose self-regulation and executive cognitive functions are still maturing. We propose a computational decision-making process in which children estimate their mother’s choices for them as well as their individual food preferences. By employing functional magnetic resonance imaging during real food choices, we find that the ventromedial prefrontal cortex (vmPFC) encodes children’s own preferences and the left dorsolateral prefrontal cortex (dlPFC) encodes the projected mom’s choices for them at the time of children’s choice. Also, the left dlPFC region shows an inhibitory functional connectivity with the vmPFC at the time of children’s own choice. Our study suggests that in part, children utilize their perceived caregiver’s choices when making choices for themselves, which may serve as an external regulator of decision-making, leading to optimal healthy decisions.


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