scholarly journals An Empirical Analysis of Doppelgänger Brand Image Effects: Focused on the Internet Community

2017 ◽  
Vol 26 (1) ◽  
pp. 21-51
Author(s):  
Hyuk Jun Cho ◽  
Sung Guen Kim ◽  
Ju Young Kang
Keyword(s):  
Empirical Analysis ◽  
Brand Image ◽  
The Internet ◽  
Internet Community

scholarly journals Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Pete Burnap ◽  
Omar Santos
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Empirical Analysis ◽  
Quantitative Risk Assessment ◽  
The Internet ◽  
Self Assessment ◽  
Target State ◽  
Epistemological Analysis ◽  
Cyber Risk ◽  
The Internet Of Things

AbstractThe Internet-of-Things (IoT) triggers data protection questions and new types of cyber risks. Cyber risk regulations for the IoT, however, are still in their infancy. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. At present, there are no self-assessment methods for quantifying IoT cyber risk posture. It is considered that IoT represent a complex system with too many uncontrollable risk states for quantitative risk assessment. To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative and empirical analysis. The comparative analysis is conducted on national digital strategies, followed by an empirical analysis of cyber risk assessment approaches. The results from the analysis present the current and a target state for IoT systems, followed by a transformation roadmap, describing how IoT systems can achieve the target state with a new epistemological analysis model. The new epistemological analysis approach enables the assessment of uncontrollable risk states in complex IoT systems—which begin to resemble artificial intelligence—and can be used for a quantitative self-assessment of IoT cyber risk posture.

scholarly journals VALIDIZATION OF THE EMPIRICAL MODEL OF THE DYNAMICS OF INTEGRATION OF INTERNET COMMUNITIES

2021 ◽  
Vol 5 (1) ◽  
pp. 17-24
Author(s):  
A.M. Ponomarev
Keyword(s):  
Empirical Model ◽  
Online Communities ◽  
Online Community ◽  
The Internet ◽  
Theoretical Conclusion ◽  
Internet Communities ◽  
First Case ◽  
The Subject ◽  
Internet Community ◽  
New Criteria

The article presents the results of a validating study carried out within the framework of the research under the grant "Building predictive models of the dynamics of the development of mobilization-type Internet communities". The aim of the study is to test the empirical model of integration of the Internet community in terms of the validity of the content and the validity of the criteria. The subject of the study is the validity of the criteria and integration factors identified in this model. The research methods are a survey of internal experts and a comparative analysis of assessments of the criteria and factors of integration of the specified model by external and internal experts. The results obtained allow us to conclude that it is correct to identify the criteria and factors for integrating the Internet community at the first stages of the research project. Differences in the assessment by two types of experts of the significance of some criteria and factors of integration of Internet communities receive the fixation of two observation positions - external and internal - as two types of explanation, namely, an understanding and descriptive explanation, respectively. The conducted research not only allows to introduce new criteria and factors of integration into the empirical model of integration of the Internet community, but also to draw an important theoretical conclusion. Online communities in their development manifest both the properties of real social groups and the properties of networks. These two methodological attitudes can be equally successfully applied in the analysis of online communities of the mobilization type. In the first case, analyzing the behavior of the online community as a social group, the dynamics of its mobilization function is mostly recorded. In the second case, analyzing the behavior of a community as a network, the dynamics of its volume and the dynamics of information potential are described to a greater extent.

scholarly journals An Empirical Analysis of Household Debt Behavior Determinants

2019 ◽  
Vol 65 (2) ◽  
pp. 132
Author(s):  
Herispon Herispon
Keyword(s):  
Empirical Analysis ◽  
Household Consumption ◽  
Visual Media ◽  
The Internet ◽  
Household Debt ◽  
Monthly Income ◽  
Purposive Sampling ◽  
Debt Behavior

This study identifies the determinants of debt behaviors and their effects on household consumption. We surveyed households in Riau, particularly in Pekanbaru and its neighboring areas, using purposive sampling and collected 390 useable responses. Our findings show that of the ten determinants considered, debt behavior can be explained by five determinants: (i) imitated lifestyle and consumerism, (ii) ability to manage money from debt, (iii) effects of promotion on the internet and visual media, (iv) monthly income, and (v) increasing household expenses and dependants. Implications of the findings are discussed. 

A Quantitative Method for Measuring Health of Authoritative Name Servers

2022 ◽  
Vol 16 (1) ◽  
pp. 0-0
Keyword(s):  
Quantitative Method ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Research Work ◽  
Abnormal Behavior ◽  
The Internet ◽  
Large Component ◽  
Internet Community ◽  
Critical Components ◽  
Typical User

The Domain Name System - DNS is regarded as one of the critical infrastructure component of the global Internet because a large-scale DNS outage would effectively take a typical user offline. Therefore, the Internet community should ensure that critical components of the DNS ecosystem - that is, root name servers, top-level domain registrars and registries, authoritative name servers, and recursive resolvers - function smoothly. To this end, the community should monitor them periodically and provide public alerts about abnormal behavior. The authors propose a novel quantitative approach for evaluating the health of authoritative name servers – a critical, core, and a large component of the DNS ecosystem. The performance is typically measured in terms of response time, reliability, and throughput for most of the Internet components. This research work proposes a novel list of parameters specifically for determining the health of authoritative name servers: DNS attack permeability, latency comparison, and DNSSEC validation.

The Impacts of Facebook Ads on Brand Image, Brand Awareness, and Brand Equity

2019 ◽  
pp. 442-462 ◽  
Author(s):  
Ismail Erkan ◽  
Mehmet Gokerik ◽  
Fulya Acikgoz
Keyword(s):  
Brand Equity ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Brand Image ◽  
Purchase Intentions ◽  
Brand Awareness ◽  
The Internet ◽  
Proposed Model ◽  
Value Model ◽  
Practical Implications

The advent of Facebook brought a new aspect for advertising since it allows ads to reach more targeted users on the internet. However, although the ads on Facebook have been found influential on consumers' purchase intentions, the possible impacts on brands have been relatively neglected. The purpose of this research is therefore to investigate the impacts of Facebook ads on brand image, brand awareness, and brand equity. With this purpose, a conceptual model was developed based on the advertising value model (AVM). The research model was tested by means of structural equation modelling (SEM) with the help of surveys applied for 194 university students. The results support the proposed model and confirm that Facebook ads play an important role on brand image, brand awareness, and brand equity. Theoretical and practical implications are discussed.

Play It Like Burberry!

2019 ◽  
pp. 281-300
Author(s):  
Insaf Khelladi ◽  
Sylvaine Castellano
Keyword(s):  
Social Media ◽  
Full Advantage ◽  
Brand Image ◽  
Initial Study ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Future Research Directions ◽  
Online Strategies ◽  
Online Reputation

Some firms and industries were not willing to take full advantage of the internet and its endless opportunities, mainly because they rather focused on the inherent risks and challenges. However, when taking into consideration the specificities of the connected generation, the question is not anymore whether to go online or not, but rather to understand how, when, and where, especially in a luxury context. More specifically, the digital natives represent tomorrow's customers. This new market segment represents a main reason for luxury firms to adopt online strategies. Still, further analysis is needed to uncover the main objectives when firms decide to engage in digital activities. The authors herein investigate the concept of e-reputation. The authors expand on their initial study that focused on brand image and social media as determinants of online reputation. Recommendations and future research directions are suggested.

TRAWLING TRAFFIC UNDER ATTACK OVERCOMING DDoS ATTACKS BY TARGET-CONTROLLED TRAFFIC FILTERING

2011 ◽  
Vol 22 (05) ◽  
pp. 1073-1098
Author(s):  
SHLOMI DOLEV ◽  
YUVAL ELOVICI ◽  
ALEX KESSELMAN ◽  
POLINA ZILBERMAN
Keyword(s):  
Denial Of Service ◽  
The Internet ◽  
Traffic Classification ◽  
Classification Rules ◽  
Ddos Attacks ◽  
Dos Attack ◽  
Dos Attacks ◽  
Worst Case ◽  
Filtering Algorithm ◽  
Internet Community

As more and more services are provided by servers via the Internet, Denial-of-Service (DoS) attacks pose an increasing threat to the Internet community. A DoS attack overloads the target server with a large volume of adverse requests, thereby rendering the server unavailable to "well-behaved" users. In this paper, we propose two algorithms that allow attack targets to dynamically filter their incoming traffic based on a distributed policy. The proposed algorithms defend the target against DoS and distributed DoS (DDoS) attacks and simultaneously ensure that it continues to serve "well-behaved" users. In a nutshell, a target can define a filtering policy which consists of a set of traffic classification rules and the corresponding amounts of traffic for each rule. A filtering algorithm is enforced by the ISP's routers when a target is being overloaded with traffic. The goal is to maximize the amount of filtered traffic forwarded to the target, according to the filtering policy, from the ISP. The first proposed algorithm is a collaborative algorithm which computes and delivers to the target the best possible traffic mix in polynomial time. The second algorithm is a distributed non-collaborative algorithm for which we prove a lower bound on the worst-case performance.

How brand image, country of origin, and self-congruity influence internet users' purchase intention

2013 ◽  
Vol 41 (4) ◽  
pp. 599-611 ◽  
Author(s):  
Chih-Ching Yu ◽  
Pei-Jou Lin ◽  
Chun-Shuo Chen
Keyword(s):  
Purchase Intention ◽  
Brand Image ◽  
Positive Impact ◽  
Country Of Origin ◽  
The Internet ◽  
Country Image ◽  
Luxury Brands ◽  
Internet Users

In this study we explored the influence of country of origin (COO), brand image, and self-congruity on consumers' purchase intention of luxury brands via the Internet. We found that: (a) consistency in the country of origin (COO), self-congruity, and brand image had a positive impact on purchase intention; (b) inconsistency between the country of brand and the country of manufacture, and consistency in the country image increased the influence of brand image on purchase intention when the brand image was weak; (c) inconsistency in the country image decreased the influence of brand image on purchase intention when the brand image was weak; and (d) consistency in COO influenced purchase intention more strongly than did self-congruity.

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