scholarly journals Wise or mad crowds? The cognitive mechanisms underlying information cascades

2020 ◽  
Vol 6 (29) ◽  
pp. eabb0266 ◽  
Author(s):  
Alan N. Tump ◽  
Timothy J. Pleskac ◽  
Ralf H. J. M. Kurvers
Keyword(s):  
Decision Making ◽  
Social Systems ◽  
Decision Making Process ◽  
Information Cascades ◽  
Drift Diffusion Model ◽  
Cognitive Mechanisms ◽  
Quality Of Information ◽  
The Social ◽  
Social Decision Making

Whether getting vaccinated, buying stocks, or crossing streets, people rarely make decisions alone. Rather, multiple people decide sequentially, setting the stage for information cascades whereby early-deciding individuals can influence others’ choices. To understand how information cascades through social systems, it is essential to capture the dynamics of the decision-making process. We introduce the social drift–diffusion model to capture these dynamics. We tested our model using a sequential choice task. The model was able to recover the dynamics of the social decision-making process, accurately capturing how individuals integrate personal and social information dynamically over time and when their decisions were timed. Our results show the importance of the interrelationships between accuracy, confidence, and response time in shaping the quality of information cascades. The model reveals the importance of capturing the dynamics of decision processes to understand how information cascades in social systems, paving the way for applications in other social systems.

scholarly journals Wise or mad crowds? The cognitive mechanisms underlying information cascades

2019 ◽  
Author(s):  
Alan Novaes Tump ◽  
Timothy Joseph Pleskac ◽  
Ralf Kurvers
Keyword(s):  
Decision Making ◽  
Social Systems ◽  
Decision Making Process ◽  
Information Cascades ◽  
Drift Diffusion Model ◽  
Cognitive Mechanisms ◽  
Quality Of Information ◽  
The Social ◽  
Social Decision Making

Whether getting vaccinated, buying stocks, or crossing streets, people rarely make decisions alone. Rather, multiple people decide sequentially, setting the stage for information cascades whereby early-deciding individuals can influence others' choices. To understand how information cascades through social systems, it is essential to capture the dynamics of the decision-making process. We introduce the social drift-diffusion model to capture these dynamics. We tested our model using a sequential choice task. The model was able to recover the dynamics of the social decision-making process, accurately capturing how individuals integrate personal and social information dynamically over time and when they timed their decisions. Our results show the importance of the interrelationships between accuracy, confidence, and response time in shaping the quality of information cascades. The model reveals the importance of capturing the dynamics of decision processes to understand how information cascades in social systems, paving the way for applications in other social systems.

Uberization of Healthcare

2018 ◽  
pp. 87-93
Author(s):  
Lizette Alvarez
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Traditional Medicine ◽  
Decision Making Process ◽  
Time Cost ◽  
Quality Of Information ◽  
Public And Private ◽  
Use Of Technology ◽  
Rapid Spread

Over the years, health literacy has embodied various forms to aid healthcare decisions. For technology and health literacy to merge, the author examines and discusses how the following three elements can be applied to implement a type of technology and to what audience: 1) time, 2) cost, and 3) engagement. Through focused time, cost, and engagement efforts, healthcare can be optimized without reductions to the quality of information. Due to its rapid spread, information could to be fixed accordingly. This would positively impact the decision-making process for communities and public and private sectors. Benefits outweigh risks related to the implementation of technology and health literacy. Traditional medicine is known to have difficulties adapting to change. However, the risk is too high not to explore the use of technology and health literacy.

Uberization of Healthcare

2022 ◽  
pp. 498-504
Author(s):  
Lizette Alvarez
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Traditional Medicine ◽  
Decision Making Process ◽  
Time Cost ◽  
Quality Of Information ◽  
Public And Private ◽  
Use Of Technology ◽  
Rapid Spread

Over the years, health literacy has embodied various forms to aid healthcare decisions. For technology and health literacy to merge, the author examines and discusses how the following three elements can be applied to implement a type of technology and to what audience: 1) time, 2) cost, and 3) engagement. Through focused time, cost, and engagement efforts, healthcare can be optimized without reductions to the quality of information. Due to its rapid spread, information could to be fixed accordingly. This would positively impact the decision-making process for communities and public and private sectors. Benefits outweigh risks related to the implementation of technology and health literacy. Traditional medicine is known to have difficulties adapting to change. However, the risk is too high not to explore the use of technology and health literacy.

Social Cognitive Bias

2018 ◽  
pp. 110-132
Keyword(s):  
Decision Making ◽  
Social Group ◽  
Social Cognitive ◽  
Cognitive Biases ◽  
Social Groups ◽  
Ingroup Bias ◽  
Decision Making Process ◽  
The Social ◽  
The Individual ◽  
Social Decision Making

Within social psychology and sociology there is a field of study in charge of studying how the social group affects the individual in all areas. In fact, several studies have found that the social decision-making process can be influenced by cognitive biases. This fields establishes two large categories of social groups called ingroup and outgroup depending on whether individuals are part of this group or not. Therefore, an ingroup is a social group to which a person psychologically identifies as being a member. By contrast, an outgroup is a social group with which an individual does not identify. Moreover, the psychological membership of social groups and categories can be related with different aspects such as race, profession, religion, among others, so that individuals can categorize themselves and others in different ways, usually dependent on the context. This categorization that individuals do based in the pertinence to a group and the influence of the group on the person reproduce in the person social cognitive biases that can lead to erroneous decisions. Within these biases the best known is the ingroup bias. This chapter explores some of these social biases and how they influence the decision-making process.

Social Media Intelligence for Business

2016 ◽  
Vol 6 (4) ◽  
pp. 19-44 ◽  
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
New Product ◽  
Service Development ◽  
Decision Making Process ◽  
Quality Of Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Intelligence

Social Media intelligence allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. Information is an important aid in the decision making process and must be of quality to improve its value. Marketing trends and competitive information is needed to clear decision-making about what products develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Women in Power and Decision making Positions : Conditions and Restraints

1970 ◽  
pp. 53-57
Author(s):  
Azza Charara Baydoun
Keyword(s):  
Decision Making ◽  
Political Participation ◽  
Political Life ◽  
The Political ◽  
Decision Making Process ◽  
Power Structures ◽  
Policies And Procedures ◽  
The Social ◽  
The Status ◽  
Slow Progress

Women today are considered to be outside the political and administrative power structures and their participation in the decision-making process is non-existent. As far as their participation in the political life is concerned they are still on the margins. The existence of patriarchal society in Lebanon as well as the absence of governmental policies and procedures that aim at helping women and enhancing their political participation has made it very difficult for women to be accepted as leaders and to be granted votes in elections (UNIFEM, 2002).This above quote is taken from a report that was prepared to assess the progress made regarding the status of Lebanese women both on the social and governmental levels in light of the Beijing Platform for Action – the name given to the provisions of the Fourth Conference on Women held in Beijing in 1995. The above quote describes the slow progress achieved by Lebanese women in view of the ambitious goal that requires that the proportion of women occupying administrative or political positions in Lebanon should reach 30 percent of thetotal by the year 2005!

Les chefs de cabinets ministériels au Québec: la transition du gouvernement libéral au gouvernement péquiste (1976–1977)

1981 ◽  
Vol 14 (2) ◽  
pp. 309-335 ◽  
Author(s):  
Micheline Plasse
Keyword(s):  
Decision Making ◽  
Civil Service ◽  
The State ◽  
Comparative Perspective ◽  
Decision Making Process ◽  
The Social ◽  
Economic Forces ◽  
The Government

This article first presents a brief survey of the role and functions filled by the personal aide (chef de cabinet) of a minister in Quebec. The analysis continues, in a comparative perspective, by tracing a sociological and professional portrait of the Liberal“chefs de cabinet” in April 1976 and their successors in the pequiste government in July 1977.We then test the hypothesis that the cleavage between the government and the dominant economic forces has increased since November 15, 1976 as a result of the ideology articulated by the“chefs de cabinet” regarding the social and economic aims of the state. This hypothesis was confirmed.The hypothesis that the pequiste“chefs de cabinet” exercise a more pronounced influence on the decision-making process is also confirmed. Nevertheless, one cannot argue that the pequiste“chefs de cabinet” usurped the power of the legislators; their influence is more political than technocratic. The growing influence of the pequiste“chefs de cabinet” neverthelsss helps to accentuate the tensions and conflicts between the higher civil service and the ministerial aides.

Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic

2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Shared Decision Making ◽  
Cognitive Theory ◽  
Well Being ◽  
Mobile App ◽  
Shared Decision ◽  
Patient Centered ◽  
The Social

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.

scholarly journals Questioning Facilities Management in Higher Education in Egyptian Context for Better Decision-Making Process of Funding Allocation

2017 ◽  
Vol 12 (7) ◽  
pp. 129
Author(s):  
Mona Mohamed Abd Elghany ◽  
Reem Aly Elharakany
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Public Universities ◽  
Quality Of Education ◽  
Decision Making Process ◽  
Facilities Management ◽  
Structured Interviews ◽  
Decision Making Processes ◽  
Strategic Relationships

The quality of education is influenced by the managerialization of the universities, which refers to the introduction of substantial changes in the decision-making processes of the academic institutions, and the application of renewed information systems along with new managerial methodologies to restructure the organisational strategic relationships with stakeholders. This paper proposes a questionnaire to assess the importance of facilities in universities according to their financial budget consumed value. Semi Structured Interviews were conducted with the heads of logistic and financial departments in Egyptian universities, twenty public universities and twenty-three private universities, in order to identify criteria for the most significant university's facilities and appealing infrastructure that contributes to the quality of education.

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

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