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Working paper
Conflict Avoidance in Consensual Decision Processes
In: Small group behavior, Volume 16, Issue 4, p. 487-499
This study explores group participants' bias toward reducing conflict in consensus ver sus majority decision styles. Recent research suggests that diminished disagreement seriously jeopardizes the quality of groups' final decisions. This study tests for conflict expectation differences between consensus and majority processes. A semantic differ ential questionnaire examines expectation ratings for consensus versus majority pro cesses. Results suggest that the participants expect climate in consensus process to be more agreeable and friendly than in majority process. Among subjects, MSWs showed greater confidence in consensus than in majority, but MBAs did not. In practice, both professions frequently engage in consensus group decision making. Implications of the findings suggest that consensus process might be governed by an "agreement norm" that has the potential to restrict disagreements needed to reach sound decisions.
Tacit knowledge in unstructured decision process
In: RAUSP management journal, Volume 55, Issue 1, p. 22-39
ISSN: 2531-0488
Purpose
This paper aims to identify the expressions and flows of tacit knowledge in the unstructured decision process. In this type of process, decision-makers use not only the explicit knowledge but also aspects such as intuition, experience and other forms of tacit knowledge. The research developed a qualitative approach, through a study of multiple cases, and applied semi-structured interviews to ten executives. The analysis of data was carried out according to Flores (1994) interpretative analysis of text technique. Results indicated that there was the insertion of tacit knowledge in all unstructured decision-making routines. It was also detected the need to explicitly add the routine of evaluation to the Mintzberg et al.'s (1976) model as elements of tacit knowledge were also identified at this stage of the decision-making process.
Design/methodology/approach
The research has taken a qualitative approach, through a study of multiple cases, applying semi-structured interviews to ten executives. The analysis of data was carried out according to technique for interpretative analysis of the text.
Findings
Results indicated that there was tacit knowledge in all unstructured decision-making routines. Also detected was the need to explicitly add the routine of evaluation to the model.
Research limitations/implications
It was unable to perform psychological studies to investigate the deepest cognitive and emotional aspects of managers, and it does not address, in depth, some issues that are related to tacit knowledge in decisions and that would be considered relevant.
Practical implications
Although this research was unable to dissect the composition of tacit knowledge in unstructured decision process, a better understanding of the aspects that make up the knowledge in question has been developed, providing some decision-making guidelines to managers.
Social implications
The language between communications actors can share decision-making rules to assist in the production and process of arguments necessary for the debate, evaluation and attribution of institutionally recurrent decisions.
Originality/value
The original contribution is present in a detailed description of the expressions of flows of tacit knowledge in unstructured decision-making processes, based on the model of Mintzberg et al. (1976). From the influence of tacit knowledge, it was found that the model in question needs to consider the relevance of the evaluation phase, as a stage equivalent to the other described by Mintzberg et al. (1976). These aspects have been better explained in the introduction and conclusion. Participant observation was not possible because the decision had already been taken by the informant at the moment of the interviews.
A Calibrated Group Decision Process
In: Group decision and negotiation, Volume 23, Issue 6, p. 1369-1384
ISSN: 1572-9907
Project Evaluations and Decision Processes
Cost-benefit analysis have been attacked by many critics because of its implicit ethical assumptions. The normative content of the method is at odds with the common attitude that economists should analyze how to reach given goals, while determination of the goals should be left to the politicians. This paper presents a descriptive model of decision makers' behavior, demonstrating that rational, benevolent politicians will only in special cases accept the evaluation of projects resulting from a cost-benefit analysis. An alternative approach to project evaluation, which allows individual decision makers to rank projects in accordance with their own ethical views, is presented. In this framework, estimates of willingness to pay are generally not required. On the other hand, information about groups that are significantly affected by the project, as well as physical unit information on changes in the supply of public goods, is crucial.
BASE
Decision Processes of Baseball Batters
In: Human factors: the journal of the Human Factors Society, Volume 16, Issue 5, p. 520-527
ISSN: 1547-8181
The human performance characteristics of pitching and batting within the context of baseball game situations are examined to determine their influence on the batter' decision to swing or not at a pitched ball. Signal detection theory techniques are used on generated data to show how the probability of the batter swinging at a "strike" and leaving a "ball" could be optimized. Applications of this approach to game situations and areas for future research are discussed.
Human judgment and decision processes
In: Academic Press series in cognition and perception
World Affairs Online
Attribution-driven Investment Decision Processes
In: Journal of Performance Measurement, Spring 2020
SSRN
Types of Organizational Decision Processes
In: Administrative Science Quarterly, Volume 29, Issue 3, p. 414
Types of Organizational Decision Processes
In: Administrative science quarterly: ASQ ; dedicated to advancing the understanding of administration through empirical investigation and theoretical analysis, Volume 29, Issue 3, p. 414
ISSN: 0001-8392
Optimal decision processes and algorithms
In: Journal of economic dynamics & control, Volume 14, Issue 2, p. 375-417
ISSN: 0165-1889