scholarly journals Consumer Decision Model of Intelectual Property Theft in Emerging Markets

2012 ◽  
Vol 3 (1) ◽  
pp. 58-74 ◽  
Author(s):  
Gordana Lalović ◽  
Saule Amirebayeva Reardon ◽  
Irena Vida ◽  
James Reardon
Keyword(s):  
Emerging Markets ◽  
Social Factors ◽  
Decision Model ◽  
Digital Piracy ◽  
Ethical Perception ◽  
Music Downloading ◽  
Consumer Decision ◽  
Potential Impact ◽  
High Level ◽  
Attitudes Toward Music

The increasing importance of digital piracy has prompted research on the behavioural and economics origins of illegal downloading activities. This research focuses on the potential impact of various economic, psychological and social factors on the consumer decision whether to buy or to steal music in emerging markets. These markets present specific difficulties for owners of intellectual property rights due to the high level of both downloading and ‘sharing’ of digital property. Results indicate impacts of price, downloaded music quality, ease of Internet use, attitudes toward music industry and ethical perception of music downloading on consumer purchase or pirate decision.

CONSUMER DECISION MODEL (CDM) ANALYSIS OF EFFECTIVENESS VIDEOTRON ADVERTISING SERVED IN SURAKARTA

ProBank ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 69-81
Author(s):  
Muhammad Khoiruman ◽  
Ambar Warniati
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Decision Model ◽  
Equation Modeling ◽  
Scientific Publications ◽  
Consumer Decision ◽  
Intention To Purchase ◽  
Brand Recognition ◽  
Level Of Confidence ◽  
The Government

This study aims to analyze the effectiveness of Videotron media ads served in Surakarta using the Consumer Decision Model (CDM) Analysis. Viewed ad serving costs in videtron large enough it is necessary to study the effectiveness of the ads served on videtron. The model that is used in measuring the effectiveness of an ad in this research is the Consumer Decision Model (CDM). The research objective was to determine the effect the message of the ad (Information), branding (Brand Recognition), the formation of an attitude (Attitude), the level of confidence in the message (Confidence), and intention to purchase (Intention) market target after seeing ad impressions through Videotron. The study population is a society in Surakarta with sampling method is purposive sampling of 200 respondents Data analysis technique using Structural Equation Modeling (SEM) which resulted in the conclusion that the message of the ad (Information) positive effect but not significant with branding (Brand Recognition), formation attitude (attitude), and the level of confidence in the message (confidence). Brand recognition is positive and significant impact on the confidence and attitude while confidence and attitude positive and significant effect on the intention to purchase (Intention) market target after seeing ad impressions through Videotron. Outcomes of this study are: enrichment of teaching materials, especially marketing management, Scientific publications (national journals) and an input for an advertiser, the advertising company and the Government of Surakarta about the effectiveness of the ads served through Videotron so they can be a policy in the future.Keywords: Videotron, advertising, Consumer Decision Model, Information, Brand Recognition, Attitude, Confidence, and Intention

scholarly journals Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Policy Makers ◽  
Tutoring Systems ◽  
Research And Practice ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Potential Impact ◽  
High Level ◽  
Contextualized Learning

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.

Mortality Following Trajectories of Mobility Limitations: The Modifying Impact of Social Factors

2018 ◽  
Vol 32 (3-4) ◽  
pp. 134-142
Author(s):  
Terese Sara Høj Jørgensen ◽  
Volkert Siersma ◽  
Rikke Lund ◽  
Charlotte Juul Nilsson
Keyword(s):  
Older Adults ◽  
Social Factors ◽  
Regression Models ◽  
Age Group ◽  
Mobility Limitations ◽  
Hazard Regression ◽  
Trajectory Modeling ◽  
High Level ◽  
Method Group

Objective: How are trajectories of mobility limitations (MLs) among older adults associated with mortality? Do social factors modify these associations? Method: Group-based trajectory modeling was used to identify four trajectories of MLs over a period of 4.5 years among 3,055 older Danes. Mortality analyses were conducted using additive hazard regression models. Results: Compared to older adults without MLs, older adults with high level of MLs who experienced further increase in MLs were associated with the most additional deaths followed by older adults with no MLs at baseline who later experienced limitations and older adults with a medium ML level at baseline who later experienced further increase in limitations. Men and 80-year olds experienced more additional deaths following adverse ML trajectories than women and 75-year olds. Discussion: Trajectories that led to higher ML levels were associated with most additional deaths especially among men and in the oldest age group.

scholarly journals Optimization of evaluation human tendecy for alcohol consumption

2016 ◽  
Vol 24 (4) ◽  
pp. 6-16
Author(s):  
A B Mulik ◽  
S V Bulatetsky ◽  
I V Ulesikova ◽  
I G Mulik ◽  
E V Nazarova ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Abuse ◽  
Social Factors ◽  
Integrated System ◽  
Psychoactive Substances ◽  
Social Risks ◽  
Teenagers And Young Adults ◽  
Differentiation Degree ◽  
Positive Feelings ◽  
High Level

The problem of alcohol consumption is one of the major causes of depopulation in the Russian Federation. The particular concern is the alcoholism of teenagers and young adults. Substantiates the relevance of complex factors influence the biological and social risks of substance use among youth. Objective: To develop an integrated system approach predicting human risk of alcohol abuse, combining the functional assessment, psychological and social factors in the formation of demand for psychoactive substances. As the object of the study 89 people of both sexes were involved, 18-23 years of age, students of Volgograd State University. The work was performed in accordance with Articles 5, 6 and 7 "on Bioethics and Human Rights, the Universal Declaration” with registration of informed consent. As a result of complex investigations undertaken identified a number of positions of principle capable of predicting the risk of alcohol abuse human. At the same time, it justified the increased susceptibility to alcohol consumption in individuals with a high level of general non-specific reactivity (UONRO). It revealed highly significant effect of negative feelings from the first samples of alcohol to block alcohol abuse human motivations. At the same time, positive feelings of alcohol during the first trial, significantly increase the risk of alcoholism. It was determined that the vast majority of respondents (95%) did not consume alcohol, brought up in the families of non-drinking parents. In contrast, respondents - consumers of alcohol, in 62% of cases vopityvalis in alcoholic families traditions. Thus, the facts revealed dependence on the combination of alcohol consumption UONRO indicators of psychosomatic condition of the person as a result of the first sample of alcohol and attitudes of members of the parental family to consume alcohol. Based on these data provided a method for predicting the risk of alcohol consumption, which provides a comprehensive account of the functional, psychological and social factors in the formation of demand for psychoactive substances, the possibility of a qualitative typology and differentiation degree of risk of alcohol abuse and algorithmization testing process.

The Media Trade Press as Technology Forecaster: A Case Study of the VCR'S Impact on Broadcasting

1997 ◽  
Vol 74 (2) ◽  
pp. 417-430 ◽  
Author(s):  
Philip M. Napoli
Keyword(s):  
Social Factors ◽  
Early Stages ◽  
The Future ◽  
The Media ◽  
Potential Impact ◽  
And Diffusion ◽  
Trade Press

This paper assesses how the broadcasting and advertising trade press performed in their role as technology forecaster, using the introduction of the VCR and its potential impact on broadcasting as a case study. An examination of the forecasts made within the broadcasting and advertising trade press during the early stages of the VCR's development and diffusion indicates that the advertising trade press proved much more active and much more accurate in forecasting the future of the VCR. The results also indicate the importance of integrating technological and social factors for constructing accurate forecasts.

A Fixed Pricing Group Buying Decision Model

2015 ◽  
Vol 11 (2) ◽  
pp. 40-59 ◽  
Author(s):  
Jin Baek Kim
Keyword(s):  
Social Factors ◽  
Decision Process ◽  
Decision Model ◽  
Subjective Norm ◽  
Significant Determinant ◽  
Social Perspective ◽  
Group Buying ◽  
Consumer Decision Process ◽  
The Social ◽  
Shopping Motivations

In order to explain the consumer decision process in the fixed pricing group buying (FPGB) context, this study proposed an FPGB decision model from the social perspective. To reflect the social perspective, the proposed FPGB decision model included social factors such as network externalities and subjective norm as triggers for shopping motivations. According to the analysis results, all social factors directly or indirectly affected consumers' buying intention at FPGB websites. To be more specific, of the social factors, perceived complementarity was the most significant determinant of FPGB buying intention not just in the direct influential paths but in the indirect influential paths. Subjective norm did not directly affect FPGB buying intention, but it did indirectly. These results imply that the managers of FPGB websites should carefully consider social factors as triggers for shopping motivations when designing and operating FPGB websites.

scholarly journals Targeting the sAC-Dependent cAMP Pool to Prevent SARS-Cov-2 Infection

Cells ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1962
Author(s):  
Muhammad Aslam ◽  
Yury Ladilov
Keyword(s):  
Endocytic Pathway ◽  
Host Cells ◽  
The Novel ◽  
Cellular Mechanisms ◽  
Late Endosomes ◽  
Proven Efficacy ◽  
Potential Impact ◽  
Potential Strategy ◽  
Novel Coronavirus ◽  
High Level

An outbreak of the novel coronavirus (CoV) SARS-CoV-2, the causative agent of COVID-19 respiratory disease, infected millions of people since the end of 2019, led to high-level morbidity and mortality and caused worldwide social and economic disruption. There are currently no antiviral drugs available with proven efficacy or vaccines for its prevention. An understanding of the underlying cellular mechanisms involved in virus replication is essential for repurposing the existing drugs and/or the discovery of new ones. Endocytosis is the important mechanism of entry of CoVs into host cells. Endosomal maturation followed by the fusion with lysosomes are crucial events in endocytosis. Late endosomes and lysosomes are characterized by their acidic pH, which is generated by a proton transporter V-ATPase and required for virus entry via endocytic pathway. The cytoplasmic cAMP pool produced by soluble adenylyl cyclase (sAC) promotes V-ATPase recruitment to endosomes/lysosomes and thus their acidification. In this review, we discuss targeting the sAC-specific cAMP pool as a potential strategy to impair the endocytic entry of the SARS-CoV-2 into the host cell. Furthermore, we consider the potential impact of sAC inhibition on CoV-induced disease via modulation of autophagy and apoptosis.

Recovery and Resilience After a Nuclear Power Plant Disaster: A Medical Decision Model for Managing an Effective, Timely, and Balanced Response

2013 ◽  
Vol 7 (2) ◽  
pp. 136-145 ◽  
Author(s):  
C. Norman Coleman ◽  
Daniel J. Blumenthal ◽  
Charles A. Casto ◽  
Michael Alfant ◽  
Steven L. Simon ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Decision Model ◽  
Large Scale ◽  
Medical Decision ◽  
Incident Management ◽  
Additional Information ◽  
Medical Issues ◽  
High Level

AbstractResilience after a nuclear power plant or other radiation emergency requires response and recovery activities that are appropriately safe, timely, effective, and well organized. Timely informed decisions must be made, and the logic behind them communicated during the evolution of the incident before the final outcome is known. Based on our experiences in Tokyo responding to the Fukushima Daiichi nuclear power plant crisis, we propose a real-time, medical decision model by which to make key health-related decisions that are central drivers to the overall incident management. Using this approach, on-site decision makers empowered to make interim decisions can act without undue delay using readily available and high-level scientific, medical, communication, and policy expertise. Ongoing assessment, consultation, and adaption to the changing conditions and additional information are additional key features. Given the central role of health and medical issues in all disasters, we propose that this medical decision model, which is compatible with the existing US National Response Framework structure, be considered for effective management of complex, large-scale, and large-consequence incidents. (Disaster Med Public Health Preparedness. 2012;0:1-10)

scholarly journals Depressive Disorders and Religious Engagement in Very Old People

2019 ◽  
Vol 5 ◽  
pp. 233372141984657
Author(s):  
Sofia Strinnholm ◽  
Yngve Gustafson ◽  
Johan Niklasson
Keyword(s):  
Social Factors ◽  
Depressive Disorders ◽  
Cross Sectional Study ◽  
Demographic Variables ◽  
Old People ◽  
Cross Sectional ◽  
Very Old ◽  
Religious Engagement ◽  
High Level ◽  
Assessment Scales

Objective: To examine associations between religious engagement and depressive disorders in very old people. Method: This cross-sectional study uses data from the Umeå 85+/Gerontological Regional Database (GERDA) study. Every other 85-year-old, every 90-year-old, and everyone more than 95 years from eight municipalities in northern Sweden and Finland were invited: 1,014 persons accepted participation. Data were gathered using questionnaires and assessment scales during structured home visits. Results: The prevalence of depressive disorders was 35.8%. In a logistic regression model, several factors were adjusted for, such as demographic variables including social factors, diseases, and cognitive and physical functional level. A high level of self-reported religious engagement was independently associated with not having depressive disorders (odds ratio [OR] = 0.58, confidence interval [CI] = [0.38, 0.89]). After stratifying by gender, religious engagement was only significant for women (OR = 0.49, CI = [0.29, 0.82]). Discussion: There is an association between a high level of religious engagement and being free from diagnosis of depressive disorders among very old women.

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