scholarly journals O impacto gerado nos consumidores pela sobrecarga de informações no contexto online: Uma construção teórica / The impact on consumers of information overload in the online context: A theoretical construction

2021 ◽  
Vol 7 (12) ◽  
pp. 115149-115158
Author(s):  
Danieli Hermes Rodrigues ◽  
Ana Rita Catelan Callegaro ◽  
Rosane Maria Seibert
Keyword(s):  
Information Overload ◽  
Theoretical Construction ◽  
The Impact

scholarly journals The Impact of Mobile Technology on a UK Police Force and Their Knowledge Sharing

2009 ◽  
Vol 08 (02) ◽  
pp. 101-112 ◽  
Author(s):  
Rachael Lindsay ◽  
Louise Cooke ◽  
Tom Jackson
Keyword(s):  
Knowledge Sharing ◽  
Mobile Technology ◽  
Information Overload ◽  
Positive Impact ◽  
Evaluation Study ◽  
Police Force ◽  
Ethnographic Approach ◽  
The Impact ◽  
Method Approach

The paper discusses an evaluation study that investigates the impact of mobile technology on a UK police force and on knowledge sharing processes. An empirical, ethnographic approach to the research was adopted, using a mixed method approach of focus groups, questionnaires, observational "work shadowing" and interviews with a total of 42 staff involved in a trial of mobile technology. The findings from the various methods are consistent, suggesting that mobile technology has a positive impact on policing and knowledge sharing. The timeliness of information improved, increasing the availability of information for decision-making. Reductions in information overload were apparent due to mobile technology providing greater control over information. There was a positive impact on knowledge sharing in the course of operational duties. Information and knowledge could be shared more quickly with officers in the field; and mobile technology provided a new avenue for keeping each other up to date with events. The paper contributes towards an understanding of the upcoming concept of "mobile knowledge management" and offers a set of recommendations to manage the possible long-term risk of mobile technology on knowledge sharing.

Legal awareness of citizens and legal information burnout issue

2021 ◽  
pp. 616-626
Author(s):  
Tamara Y. Gertsog
Keyword(s):  
Information Technology ◽  
Information Overload ◽  
Preventive Measures ◽  
Professional Burnout ◽  
Potential Danger ◽  
Legal Information ◽  
Functional Literacy ◽  
Awareness Information ◽  
The Impact ◽  
The Relationship

We analyze the concept of legal awareness of citizens, its structure, significance for a particular individual and for society as a whole, ways to increase the level of legal awareness of the population, as well as the con-sequences due to an increase in the level of legal awareness. We cover the is-sue of excess information in the legal sphere, its causes and consequences. We consider the essence of legal information burnout, its signs, potential danger and impact, identified preventive measures and methods to combat this phenomenon. We comprehend the impact of excessive legal information on professional deformation and professional burnout of lawyers, we have determined the functional significance of excessive legal information to citi-zens to maintain the proper level of their legal functional literacy. The pur-pose of the study is to determine the relationship between the increased vol-ume of legal awareness, information overload, legal information burnout and, as a consequence, the professional deformation of lawyers. We make an attempt to declare the existence of the phenomenon, which is conventionally called by the author legal information burnout. The study will be of interest to specialists in the field of jurisprudence, psychology, information technology, and may also be useful for other specialists and all those who are interested in the issues of this issue.

Shared and Distributed Team Cognition and Information Overload

2017 ◽  
pp. 223-245 ◽  
Author(s):  
Thomas Ellwart ◽  
Conny Herbert Antoni
Keyword(s):  
Information Exchange ◽  
Information Overload ◽  
Social Systems ◽  
Memory Systems ◽  
Knowledge Structures ◽  
Team Cognition ◽  
Team Mental Models ◽  
Team Research ◽  
Distributed Team ◽  
The Impact

This chapter discusses information overload (IO) from a team level perspective. Organizational team research underlines the importance of emergent knowledge structures in work groups, so-called team cognition. Two types of team cognition are introduced that are closely related to IO, namely shared team mental models and transactive memory systems. After a brief introduction of the concepts, empirical evidence about the impact of team cognition on dysfunctional IO as well as functional information exchange are presented. In the second part of the chapter, strategies and tools for adapting team cognition in high IO situations are introduced. The focus on team level constructs in IO research complements individual, technical, and organizational approaches to IO by underlining the importance of team knowledge structures in social systems.

ESTIMATING USER INFLUENCE IN ONLINE SOCIAL NETWORKS SUBJECT TO INFORMATION OVERLOAD

2014 ◽  
Vol 28 (03) ◽  
pp. 1450004 ◽  
Author(s):  
PEI LI ◽  
YUNCHUAN SUN ◽  
YINGWEN CHEN ◽  
ZHI TIAN
Keyword(s):  
Social Networks ◽  
Information Processing ◽  
Theoretical Analysis ◽  
Online Social Networks ◽  
Information Overload ◽  
Network Size ◽  
Finite Buffer ◽  
User Influence ◽  
Diffusion Dynamics ◽  
The Impact

Online social networks have attracted remarkable attention since they provide various approaches for hundreds of millions of people to stay connected with their friends. Due to the existence of information overload, the research on diffusion dynamics in epidemiology cannot be adopted directly to that in online social networks. In this paper, we consider diffusion dynamics in online social networks subject to information overload, and model the information-processing process of a user by a queue with a batch arrival and a finite buffer. We use the average number of times a message is processed after it is generated by a given user to characterize the user influence, which is then estimated through theoretical analysis for a given network. We validate the accuracy of our estimation by simulations, and apply the results to study the impacts of different factors on the user influence. Among the observations, we find that the impact of network size on the user influence is marginal while the user influence decreases with assortativity due to information overload, which is particularly interesting.

scholarly journals Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study

10.2196/19128 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e19128 ◽  
Author(s):  
Ali Farooq ◽  
Samuli Laato ◽  
A K M Najmul Islam
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Information Overload ◽  
Information Source ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Online Information ◽  
Living Situation ◽  
The Impact

Background During the coronavirus disease (COVID-19) pandemic, governments issued movement restrictions and placed areas into quarantine to combat the spread of the disease. In addition, individuals were encouraged to adopt personal health measures such as social isolation. Information regarding the disease and recommended avoidance measures were distributed through a variety of channels including social media, news websites, and emails. Previous research suggests that the vast amount of available information can be confusing, potentially resulting in overconcern and information overload. Objective This study investigates the impact of online information on the individual-level intention to voluntarily self-isolate during the pandemic. Using the protection-motivation theory as a framework, we propose a model outlining the effects of cyberchondria and information overload on individuals’ perceptions and motivations. Methods To test the proposed model, we collected data with an online survey (N=225) and analyzed it using partial least square-structural equation modeling. The effects of social media and living situation were tested through multigroup analysis. Results Cyberchondria and information overload had a significant impact on individuals’ threat and coping perceptions, and through them on self-isolation intention. Among the appraisal constructs, perceived severity (P=.002) and self-efficacy (P=.003) positively impacted self-isolation intention, while response cost (P<.001) affected the intention negatively. Cyberchondria (P=.003) and information overload (P=.003) indirectly affected self-isolation intention through the aforementioned perceptions. Using social media as an information source increased both cyberchondria and information overload. No differences in perceptions were found between people living alone and those living with their families. Conclusions During COVID-19, frequent use of social media contributed to information overload and overconcern among individuals. To boost individuals’ motivation to adopt preventive measures such as self-isolation, actions should focus on lowering individuals’ perceived response costs in addition to informing them about the severity of the situation.

scholarly journals How Does Information Overload Affect Consumers’ Online Decision Process? An Event-Related Potentials Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Minjing Peng ◽  
Zhicheng Xu ◽  
Haiyang Huang
Keyword(s):  
Information Processing ◽  
Decision Process ◽  
Information Overload ◽  
Central Area ◽  
Event Related Potentials ◽  
Decision Processes ◽  
Decision Quality ◽  
Amount Of Information ◽  
Related Potentials ◽  
The Impact

One of the advantages of e-retailers is their capability to provide a large amount of information to consumers. However, when the amount of information exceeds consumers’ information processing capacities, it will lead to worse decision quality and experience, causing the information overload effect. In this study, the event-related potentials (ERPs) were applied to examine the hidden neural mechanism of the impact of information overload on consumers’ decision processes. Behavioral data showed that people would spend more time making decisions when faced with information overload. Neurophysiologically, consumers would invest less attentional resources in the high amount of information (HAI) condition than those in the low amount of information (LAI) condition and lead to less positive P2 amplitudes. The HAI condition would increase decision difficulty than would the LAI condition and result in smaller P3 amplitudes. In addition, an increased late positive component (LPC) was observed for the HAI condition in contrast to the LAI condition, indicating that consumers were more inclined to have decision process regret when consumers were overloaded. We further investigated the dynamic information processing when consumers got over information overload by mining the brain’s time-varying networks. The results revealed that during the decision process and the neural response stage, the central area controlled other brain regions’ activities for the HAI condition, suggesting that people may still consider and compare other important information after the decision process when faced with information overload. In general, this study may provide neural evidence of how information overload affects consumers’ decision processes and ultimately damages decision quality.

scholarly journals Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Ali Farooq ◽  
Samuli Laato ◽  
A K M Najmul Islam
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Information Overload ◽  
Information Source ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Online Information ◽  
Living Situation ◽  
The Impact

BACKGROUND During the coronavirus disease (COVID-19) pandemic, governments issued movement restrictions and placed areas into quarantine to combat the spread of the disease. In addition, individuals were encouraged to adopt personal health measures such as social isolation. Information regarding the disease and recommended avoidance measures were distributed through a variety of channels including social media, news websites, and emails. Previous research suggests that the vast amount of available information can be confusing, potentially resulting in overconcern and information overload. OBJECTIVE This study investigates the impact of online information on the individual-level intention to voluntarily self-isolate during the pandemic. Using the protection-motivation theory as a framework, we propose a model outlining the effects of cyberchondria and information overload on individuals’ perceptions and motivations. METHODS To test the proposed model, we collected data with an online survey (N=225) and analyzed it using partial least square-structural equation modeling. The effects of social media and living situation were tested through multigroup analysis. RESULTS Cyberchondria and information overload had a significant impact on individuals’ threat and coping perceptions, and through them on self-isolation intention. Among the appraisal constructs, perceived severity (<i>P</i>=.002) and self-efficacy (<i>P</i>=.003) positively impacted self-isolation intention, while response cost (<i>P</i>&lt;.001) affected the intention negatively. Cyberchondria (<i>P</i>=.003) and information overload (<i>P</i>=.003) indirectly affected self-isolation intention through the aforementioned perceptions. Using social media as an information source increased both cyberchondria and information overload. No differences in perceptions were found between people living alone and those living with their families. CONCLUSIONS During COVID-19, frequent use of social media contributed to information overload and overconcern among individuals. To boost individuals’ motivation to adopt preventive measures such as self-isolation, actions should focus on lowering individuals’ perceived response costs in addition to informing them about the severity of the situation.

scholarly journals Making Sense of Information Overload: Consumer Ranking of Nutritional Claims in Cereal Based Products

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2858 ◽  
Author(s):  
Gracia ◽  
Barreiro-Hurlé
Keyword(s):  
Food Industry ◽  
Information Overload ◽  
Food Products ◽  
Consumer Awareness ◽  
Cereal Products ◽  
Average Consumer ◽  
Making Sense ◽  
The Impact ◽  
Day By Day ◽  
Spanish Region

As a result of increased consumer awareness, demand for healthier food products is increasing day by day. Consumers seek healthier versions of food products which they relate to reduced presence of unhealthy components or increased presence of healthy ones. As a result, the food industry has not only increased the variety of products available but also uses nutritional claims to signal the presence of more substances. As an average consumer at the supermarket devotes just a few seconds to selecting each product, they are only able or willing to process that information that immediately attracts their attention or that is felt to be more important to them. This paper analyses how consumers rank different nutritional claims for two processed cereal products. Five claims were chosen to reflect the current market landscape of availability, and that relates to both “healthy” (i.e., fiber) and “unhealthy” (i.e., fat) substances. We use a direct ranking preference method with data from a survey conducted with consumers in a Spanish region in 2017. Results show that the ranking of claims differs between the two products (biscuits and pastries) and across consumers. However, consumers prefer those that show reduced presence of unhealthy substances above those that highlight the presence of healthy ones. Therefore, policy to maximize the impact of nutritional labelling should be product-specific.

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