Understanding Privacy Policies: Content, Self-Regulation, and Markets

2016 ◽  
Author(s):  
Florencia Marotta-Wurgler
Keyword(s):  
Self Regulation ◽  
Privacy Policies

Progress in Internet Privacy Policies

2011 ◽  
pp. 224-243 ◽  
Author(s):  
Alan R. Peslak
Keyword(s):  
Electronic Commerce ◽  
Federal Trade Commission ◽  
Self Regulation ◽  
Comprehensive Analysis ◽  
The Internet ◽  
Privacy Policies ◽  
Internet Privacy ◽  
Fair Information Practices ◽  
Information Practices

Privacy on the Internet has been of increasing concern with the explosive growth of electronic commerce. A series of past surveys by the Federal Trade Commission and other organizations measured the implementation of fair information practices and industry self-regulation of privacy. This report includes two important additional factors in the review—enforcement and simplicity. Using historical studies and this more comprehensive analysis, this article reviews the current Internet privacy polices of the 50 largest U.S. companies in 2003 and updates this review for 2006.

Self-Regulation and Competition in Privacy Policies

2016 ◽  
Vol 45 (S2) ◽  
pp. S13-S39 ◽  
Author(s):  
Florencia Marotta-Wurgler
Keyword(s):  
Self Regulation ◽  
Privacy Policies

Electronic Commerce and Data Privacy

2003 ◽  
pp. 213-238 ◽  
Author(s):  
Sandra C. Henderson ◽  
Charles A. Snyder ◽  
Terry A. Byrd
Keyword(s):  
Electronic Commerce ◽  
Data Privacy ◽  
Government Regulation ◽  
Personal Information ◽  
Self Regulation ◽  
Personal Data ◽  
Privacy Policies ◽  
Online Questionnaire ◽  
Privacy Concerns ◽  
Consumer Privacy

Electronic commerce (e-commerce) has had a profound effect on the way we conduct business. It has impacted economies, markets, industry structures, and the flow of products through the supply chain. Despite the phenomenal growth of e-commerce and the potential impact on the revenues of businesses, there are problems with the capabilities of this technology. Organizations are amassing huge quantities of personal data about consumers. As a result, consumers are very concerned about the protection of their personal information and they want something done about the problem.This study examined the relationships between consumer privacy concerns, actual e-commerce activity, the importance of privacy policies, and regulatory preference. Using a model developed from existing literature and theory, an online questionnaire was developed to gauge the concerns of consumers. The results indicated that consumers are concerned about the protection of their personal information and feel that privacy policies are important. Consumers also indicated that they preferred government regulation to industry self-regulation to protect their personal information.

Electronic Commerce and Data Privacy

2011 ◽  
pp. 89-113
Author(s):  
Sandra C. Henderson ◽  
Charles A. Snyder ◽  
Terry A. Byrd
Keyword(s):  
Electronic Commerce ◽  
Data Privacy ◽  
Government Regulation ◽  
Personal Information ◽  
Self Regulation ◽  
Personal Data ◽  
Privacy Policies ◽  
Online Questionnaire ◽  
Privacy Concerns ◽  
Consumer Privacy

Electronic commerce (e-commerce) has had a profound effect on the way we conduct business. It has impacted economies, markets, industry structures, and the flow of products through the supply chain. Despite the phenomenal growth of e-commerce and the potential impact on the revenues of businesses, there are problems with the capabilities of this technology. Organizations are amassing huge quantities of personal data about consumers. As a result, consumers are very concerned about the protection of their personal information and they want something done about the problem. This study examined the relationships between consumer privacy concerns, actual e-commerce activity, the importance of privacy policies, and regulatory preference. Using a model developed from existing literature and theory, an online questionnaire was developed to gauge the concerns of consumers. The results indicated that consumers are concerned about the protection of their personal information and feel that privacy policies are important. Consumers also indicated that they preferred government regulation to industry self-regulation to protect their personal information.

Self-Regulation and the Writing Process: Enhancing the Performance of Students With Language and Learning Difficulties

2009 ◽  
Vol 16 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Gary A. Troia
Keyword(s):  
Writing Process ◽  
Self Regulation ◽  
Learning Difficulties ◽  
Evidence Based ◽  
Struggling Learners ◽  
Evidence Based Practices

Abstract This article first provides an overview of components of self-regulation in writing and specific examples of each component are given. The remainder of the article addresses common reasons why struggling learners experience trouble with revising, followed by evidence-based practices to help students revise their papers more effectively.

Self-Regulation and Autonomy

2013 ◽  
Keyword(s):  
Self Regulation

Correlation between level of self-regulation in the newborn infant and developmental status at two years of age

2001 ◽  
Vol 90 (3) ◽  
pp. 345-350 ◽  
Author(s):  
C. Lundqvist-Persson
Keyword(s):  
Newborn Infant ◽  
Self Regulation ◽  
Developmental Status

Respiratory Sinus Arrhythmia During Sleep and Waking

2019 ◽  
Vol 33 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Elizabeth M. Stoakley ◽  
Karen J. Mathewson ◽  
Louis A. Schmidt ◽  
Kimberly A. Cote
Keyword(s):  
Individual Differences ◽  
Respiratory Sinus Arrhythmia ◽  
Slow Wave Sleep ◽  
Self Regulation ◽  
Nrem Sleep ◽  
Sinus Arrhythmia ◽  
Affective Style ◽  
Waking State ◽  
Optimal Period ◽  
The Stability

Abstract. Resting respiratory sinus arrhythmia (RSA) is related to individual differences in waking affective style and self-regulation. However, little is known about the stability of RSA between sleep/wake stages or the relations between RSA during sleep and waking affective style. We examined resting RSA in 25 healthy undergraduates during the waking state and one night of sleep. Stability of cardiac variables across sleep/wake states was highly reliable within participants. As predicted, greater approach behavior and lower impulsivity were associated with higher RSA; these relations were evident in early night Non-REM (NREM) sleep, particularly in slow wave sleep (SWS). The current research extends previous findings by establishing stability of RSA within individuals between wake and sleep states, and by identifying SWS as an optimal period of measurement for relations between waking affective style and RSA.

Parasympathetic Concomitants of Habitual, Spontaneous, and Instructed Emotional Suppression

2017 ◽  
Vol 31 (2) ◽  
pp. 78-89 ◽  
Author(s):  
Asmir Gračanin ◽  
Igor Kardum ◽  
Jasna Hudek-Knežević
Keyword(s):  
Negative Emotion ◽  
Self Regulation ◽  
Experimental Manipulation ◽  
Task Demands ◽  
Self Control ◽  
Integration Model ◽  
Sinus Arrhythmia ◽  
Emotional Suppression ◽  
Emotion Experience ◽  
Similar Relation

Abstract. The neurovisceral integration model proposes that different forms of self-regulation, including the emotional suppression, are characterized by the activation of neural network whose workings are also reflected in respiratory sinus arrhythmia (RSA). However, most of the previous studies failed to observe theoretically expected increases in RSA during emotional suppression. Even when such effects were observed, it was not clear whether they resulted from specific task demands, a decrease in muscle activity, or they were the consequence of more specific self-control processes. We investigated the relation between habitual or trait-like suppression, spontaneous, and instructed suppression with changes in RSA during negative emotion experience. A modest positive correlation between spontaneous situational and habitual suppression was observed across two experimental tasks. Furthermore, the results showed greater RSA increase among participants who experienced higher negative affect (NA) increase and reported higher spontaneous suppression than among those with higher NA increase and lower spontaneous suppression. Importantly, this effect was independent from the habitual suppression and observable facial expressions. The results of the additional task based on experimental manipulation, rather than spontaneous use of situational suppression, indicated a similar relation between suppression and RSA. Our results consistently demonstrate that emotional suppression, especially its self-regulation component, is followed by the increase in parasympathetic activity.

From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

2020 ◽  
pp. 1-14 ◽  
Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  
Keyword(s):  
Factor Model ◽  
Common Factor ◽  
Self Regulation ◽  
Model Fit ◽  
Self Report ◽  
External Criterion ◽  
Common Factor Model ◽  
Random Intercept ◽  
Using Data ◽  
Core Self

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.

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