scholarly journals ‘How Do I Choose Thee? Let me Count the Ways’: A Textual Analysis of Similarities and Differences in Modes of Decision-making in China and the United States

2005 ◽  
Vol 1 (01) ◽  
pp. 87-118 ◽  
Author(s):  
Elke U. Weber ◽  
Daniel R. Ames ◽  
Ann-Renée Blais

This paper investigates the effect of decision-makers' culture on their implicit choice of how to make decisions. In a content analysis of major decisions described in American and Chinese twentieth-century novels, we test a series of hypotheses based on prior theoretical and empirical investigations of cross-cultural variation in human motivation and decision processes. The data show a striking degree of cultural similarity in the relationships between decision content, situational characteristics and the decision mode(s) employed, but also support several hypotheses about cultural differences. As predicted, Chinese decision-makers more frequently used role-based logic (a form of recognition-based decision-making) to arrive at decisions, by virtue of their greater awareness of and need for relational obligations. The hypothesis (based on conjectures about Chinese thinking style and personality differences) that Chinese decision-makers would show more rule-and case-based decision-making (two other variants of recognition-based decision-making) than decision-makers in American novels was also supported. After controlling for other predictor variables, there also was support for the hypothesis (based on comparative analyses of Chinese and Western philosophy) that analytic modes which base decisions on the calculation of best consequences would be used less frequendy by Chinese decision-makers. There was no evidence of greater prevention focus in Chinese decisions. These and other observed cultural similarities and differences in the dynamics of decision mode selection have implications for the study and practice of decision-making in managerial settings.

2018 ◽  
Vol 22 (2) ◽  
pp. 139-160 ◽  
Author(s):  
Morgan Burcher ◽  
Chad Whelan

Intelligence-led policing (ILP) is a managerial law enforcement model that seeks to place crime intelligence at the forefront of decision-making. This model has been widely adopted, at least notionally, in the United States, United Kingdom, Canada, and Australia. Drawing on interviews with intelligence analysts from two Australian state law enforcement agencies, this article contributes to the relatively small body of literature that has examined ILP in practice. The article identifies three relational themes that inhibit the successful implementation of ILP: analysts and data, analysts and tools, and analysts and decision makers. Furthermore, it calls attention to the need to better understand the structure and operations within law enforcement agencies, including the similarities and differences among organizational units, in order to better understand how these nuances shape the practice of ILP.


2021 ◽  
Vol 2020 ◽  
Author(s):  
Femi Obasun

This report looks into the administering process of vaccines within the United States and the method designed to aid the decision-makers' process. The study method is based on a quantitative representation in which vaccine candidates are administered.   The procedure utilizes the corresponding (incomplete) data that could theoretically be used in other decision-making methods. The information provided by the vaccine manufacture is somewhat vague. The process entails predicting the future and gaps.  The study interview 1200 vaccinated patients to give an opinion based on the patients.


Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1402
Author(s):  
Jason A. Hubbart

Best management practices (BMP) are defined in the United States Clean Water Act (CWA) as practices or measures that have been demonstrated to be successful in protecting a given water resource from nonpoint source pollution. Unfortunately, the greatest majority of BMPs remain unvalidated in terms of demonstrations of success. Further, there is not a broadly accepted or standardized process of BMP implementation and monitoring methods. Conceivably, if standardized BMP validations were a possibility, practices would be much more transferrable, comparable, and prescriptive. The purpose of this brief communication is to present a generalized yet integrated and customizable BMP decision-making process to encourage decision makers to more deliberately work towards the establishment of standardized approaches to BMP monitoring and validation in mixed-use and/or municipal watersheds. Decision-making processes and challenges to BMP implementation and monitoring are presented that should be considered to advance the practice(s) of BMP implementation. Acceptance of standard approaches may result in more organized and transferrable BMP implementation policies and increased confidence in the responsible use of taxpayer dollars through broad acceptance of methods that yield predictable and replicable results.


2003 ◽  
Vol 2003 (1) ◽  
pp. 311-318
Author(s):  
Debra Scholz ◽  
Steven R. Warren ◽  
Heidi Stout ◽  
Gregory Hogue ◽  
Ann Hayward Walker ◽  
...  

ABSTRACT During a response to spilled oil or hazardous material, the protection, retrieval, and rehabilitation of affected wildlife is the jurisdiction of the United States Fish and Wildlife Service (USFWS), the US Department of Interior (DOI), the National Marine Fisheries Service (NMFS), and the affected state resource trustees. Only permitted and trained individuals (Qualified Wildlife Responders - QWR) are allowed to directly handle the affected wildlife. QWRs are familiar with a wide range of actions that can be taken to minimize the adverse effects of spilled oil on fish and wildlife resources and their habitats. However, decision-makers and QWRs are not always familiar with the effects that various oil spill products and technologies may have on different wildlife resources. Applied oil spill products and technologies are listed under the National Contingency Plan (NCP) Product Schedule (40 CFR § 300.317) and are the focus of the Selection Guide for Oil Spill Applied Technologies. These applied oil spill products and technologies are relatively unknown and most decision-makers have limited experience in their use. To facilitate greater understanding of these products and technologies, the Selection Guide assists the decision-maker to evaluate the various spill response products and technologies for potential or suspected impacts to the environment, workers, and natural resources. Of particular interest is the evaluation of the use of various oil spill response


Author(s):  
Julie L. Marble ◽  
Heather D. Medema ◽  
Susan G. Hill

Eight participants reviewed a multimedia presentation regarding the hypoxic zone phenomenon in a role-play as a legislator's aide. They rated the phenomenon's importance to the United States and indicated what portion of the legislator's budget to devote to research of it. After viewing a segment of the presentation, participants indicated their distance to a decision and confidence that would be their final decision. Interviews after each segment revealed two decision strategies: slow movement toward a decision, or abrupt decision-making after approximately half the presentation. Decision style was correlated with decision confidence. These two groups differed in their trade-offs of willingness to spend time in information search and need for more information. Slow decision makers were less confident about their final decision; acquisition of information was more critical than time spent on the information search. Abrupt decision-makers were more confident of their final decision; minimizing time spent in information search was more critical than information acquisition.


2021 ◽  
Author(s):  
Hale A Forster ◽  
Julia G. Bottesini ◽  
Crystal Reeck ◽  
Elke U. Weber

We present the development of the Domain-general Decision Mode Scale (DDMS), a 24-item scale to measure decision modes. Decision modes are the qualitatively different approaches through which individuals report making decisions. Researchers have consistently acknowledged that existing two-systems models of decision-making processes that distinguish between an intuitive and a rational mode do not account for the range of rule-based processes that decision makers employ in evaluating and making choices. Our studies identified six different decision modes, driven respectively by calculation, affect, habit, social norms, identity, and morality. Making a decision using the calculation mode involves a deliberate process of assessing costs and benefits. Using the affective mode involves an emotion- or gut-driven process. Using the social norms mode involves consideration of what others are doing or what others condone as appropriate. Using the habitual mode involves following a previously determined rule or habit. Using the identity mode involves identifying what is consistent with one’s sense of self or own values. Finally, using the moral decision mode involves consideration of what does the most good. We conceptually group the final four decision modes under the umbrella of rule-based decision-making: making a decision based on previously-learned and/or socially-derived conventions. The DDMS exhibits good reliability, as well as convergent and discriminant validity. By providing a scale that assesses the degree to which decision makers report using these decision modes, we integrate past research on decision modes and create a framework for additional research into the effects of different decision processes.


Author(s):  
Joanna Moody ◽  
Timothy Patton Doyle ◽  
Scott Middleton ◽  
Joseph Sussman

Transportation investments determine the long-term success or failure of a transportation provider. It is therefore vital for decision makers to have an in-depth understanding of the alternatives available before they choose to invest. However, often, the process of evaluating alternatives is lengthy, costly, and contentious, particularly for transportation infrastructure investment decisions that are large, complex, and interconnected with other economic development and sustainability goals. Furthermore, transportation investments involve many decision makers, each with different priorities and expertise. Therefore, there is a need for transparent, accurate, flexible, and practicable decision-making aids that can handle the complex challenges facing the decision-making bodies of transportation providers and planning organizations. This paper introduces a new decision aid—the CLIOSjre Process—that combines insights from multicriteria decision analysis, multistakeholder negotiation theory, and uncertainty analysis. The CLIOSjre Process helps decision makers compare multiple alternatives across multiple objectives and seek an informed collective transportation investment decision. Unlike other multicriteria decision aids, the CLIOSjre Process accounts for differences of opinion among decision makers and is designed to facilitate constructive negotiation among them. Finally, the CLIOSjre Process formally accounts for sources of uncertainty inherent in these decisions. In this way, the CLIOSjre Process provides a unique and flexible framework for investment analysis that can adapt to changes in transportation alternatives, decision-maker priorities, and emerging real-world conditions. The usefulness of this new decision aid is illustrated for the East Japan Railway Company’s consideration of a transportation investment opportunity in high-speed rail development on the Northeast Corridor of the United States.


Author(s):  
Alex Mintz ◽  
Steven B. Redd ◽  
Eldad Tal-Shir

Poliheuristic theory focuses on the why and how of decision-making. The primary argument is that decision-makers are sensitive to both cognitive and environmental constraints and are particularly likely to focus on the political consequences of their decisions. Decision-makers use a two-stage process en route to choice, wherein heuristic shortcuts are implemented in the first stage in an effort to reduce complexity and in the second stage a maximizing strategy on the remaining alternatives in the choice set. The theory focuses on five main information-processing characteristics: order-sensitive, nonholistic, and dimension-based searching and noncompensatory and satisficing decision rules. The theory has been tested using numerous case studies and statistical and experimental analyses. These studies have provided strong empirical support for this theory. In 2013, the United States decided not to attack Syria, despite domestic and international pressure to do so. This case shows the importance of political constraints on President Obama’s calculus of decision, leading to the adoption of the chemical disarmament of Syria.


Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 979 ◽  
Author(s):  
Chia-Nan Wang ◽  
Van Tran Hoang Viet ◽  
Thanh Phong Ho ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen

In recent years, the market of textile and garment materials has been volatile, and the ongoing US-China trade war is creating good opportunities for other markets such as Vietnam, Bangladesh and Mexico to continue to expand their market share in the United States. Vietnam is expected to have great advantages thanks to cheap labor cost and strong production capacity. Raw material supplier selection in a volatile competitive environment is crucial for a company to succeed, and supplier selection is a complicate process in which decision-makers must consider multiple quantitative and qualitative features, along with their symmetrical impact, in order to achieve an optimal result. The purpose of selecting the right supplier is to improve competitiveness and product quality, while satisfying customer demand at a minimum production cost. The aim of this paper is to propose a multicriteria decision making model (MCDM) for garment and textile supplier selection. In the first stage, all criteria affecting this process are defined by using the supply chain operations reference model (SCOR) and experts’ opinion. Incorporating hybrid fuzzy set theory into the analytical network process (ANP) model is the most effective tool for addressing complex problems of decision-making, which has a connection with various qualitative criteria; thus, the Fuzzy Analytical Hierarchy Process (FAHP) was applied for determining the weight of all potential suppliers, and the preference ranking organization method for enrichment of evaluations (PROMETHEE II) was used for ranking the supplier. The results of this research will assist researchers and decision makers in identifying, adapting and applying appropriate methods to identify the optimal material suppliers in the textile and garment industry. This research can also be used to support supplier selection decisions in other industries.


2020 ◽  
Vol 67 (1) ◽  
pp. 6-25
Author(s):  
Kristel Beyens ◽  
Lars Breuls ◽  
Lana De Pelecijn ◽  
Marijke Roosen ◽  
Veerle Scheirs

In recent years, the United States and England and Wales have witnessed growing re-incarceration rates. This growth is not only due to the courts sending more people to prison (‘front-end sentencing’), but also due to an increasing number of revocations of early release measures, mainly following technical violations of licence conditions (so called ‘back-end sentencing’). However, it is unclear whether the same phenomenon exists in other (European) countries. Therefore, we empirically studied prison recall decision-making processes in Belgium by file analysis, complemented with focus groups with the decision makers involved in the recall process of prisoners with a sentence of more than three years. We found that the recall process in Belgium is embedded in a strong narrative of ‘giving chances’ and that all decision makers deploy a large amount of discretion, which they use to make deliberate decisions in an attempt to facilitate parolees’ reintegration process. Non-compliance with imposed conditions does not automatically lead to recall and even when a parolee is sent back to prison, recall is framed by the decision makers as a step in the reintegration process, not the end of it.


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