• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.227-239
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• 2023

Online marketing is a rapidly growing industry that heavily depends on digital technologies and data analysis to effectively reach and engage consumers. For that, artificial intelligence (AI) has emerged as a crucial tool for online marketers, enabling marketers to analyze extensive consumer data and automate decision-making processes. The purpose of this study was to investigate the ethical implications of using AI in online marketing, focusing on its impact on consumer privacy and decision-making. AI has created new possibilities for personalized marketing but raises concerns about the collection and use of consumer data, transparency and accountability of decision-making, and the impact on consumer autonomy and privacy. In this study, we reviewed the relevant literature and case studies to assess the potential risks and make recommendations for improving consumer protection. The findings provide insights into ethical considerations and offer a roadmap for balancing the advantages of AI in online marketing with the protection of consumer rights. Companies should consider these ethical issues when implementing AI in their marketing strategies. In this study, we explored the concerns and provided insights into the challenges posed by AI in online marketing, such as the collection and use of consumer data, transparency, and accountability of decision-making, and the impact on consumer autonomy and privacy.

• Asia pacific journal of information systems
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• v.28 no.2
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• pp.133-153
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• 2018

This study investigates responses to privacy concerns by analyzing the psychological and behavioral characteristics related to the disposition toward invoices of courier service users. To this end, we develop a theoretical framework by combining stimulus response theory, communication privacy management theory, the theory of reasoned action, and the theory of planned behavior. Based on the theoretical framework, we analyze the relationships between social influence, privacy propensity, privacy control, privacy risk, privacy concern, invoice disposition intention, and invoice disposition behavior in the context of courier services. To test our hypotheses, we survey courier service users in the U.S. and Korea. Using a structural equation model, we test the relationships among these various factors for the courier service users of the two countries. Results have distinct implications for the psychological and behavioral characteristics concerning the disposal of courier invoices and enable understanding of the characteristics of courier service customers of the two countries.

• Information Systems Review
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• v.15 no.1
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• pp.105-122
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• 2013

Given the proliferation of social network services, it has become important to understand its user's continued use behavior. As users' privacy concerns in SNS have been identified as a critical barrier against forming this continued intention, many studies have focused on inducing continued intention by mitigating privacy concerns. However, this paper suggests to approach users' continued intention not only from the perspective of mitigating privacy concerns but also from the perspective of increasing potential benefits. Under the theoretical framework of privacy calculus model, we conducted cross sectional survey on 150 Facebook and 150 KakaoTalk users. The result suggests that trust mediates the relationships between privacy concerns and continued intention and between network externality and continued intention, and the influence of support for network formation on continued intention. The effect of network externality on continued intention, however, is not significant among Facebook users while it is significant among KakaoTalk users.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.15-23
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• 2019

Mobile devices have become the most influential media platform. Mobile advertising has thus grown much faster than any other type of advertising. This study is designed to examine antecedents of attitude toward mobile ads, antecedents such as irritation, personalization, and online information privacy concerns. The study also examines consumers' attitudes toward mobile ads as an antecedent of mobile advertising acceptance. Study findings suggest that irritation is not a statistically significant predictor of attitude toward mobile ads. An antecedent found to be positively related to attitude toward mobile ads is personalization and one found to be negatively related is online privacy concerns. Finally, consumers' attitudes toward mobile ads are found to be positively related to a general acceptance of mobile advertising. Practical implications are discussed.

• The Journal of Information Systems
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• v.16 no.3
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• pp.21-44
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• 2007

Internet privacy is named as one of the major barriers to the expansion and further development of e-commerce. This study is to identify the antecedents to Internet privacy concerns, to investigate the relationship of the antecedents and the perceived trust and to validate Internet privacy's effect on the perceived trust. A conceptual model which identifies Internet literacy and perceived vulnerability as antecedents to Internet privacy concern is proposed and tested based on the sample of 276 Internet users. Empirical findings show that Internet literacy affect Internet privacy concern negatively while perceived vulnerability affect positively. Also perceived vulnerability's effect on and privacy concern's effect on perceived trust has both directional negative support. Implications and further research agenda are provided with the limitation of the study.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.175-184
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• 2014

The purpose of this study is to examine the factors influencing purchase intention of Location-Based Services (LBS) using privacy-trust-behavioral intention model. This model tests various theoretical research hypotheses relating to LBS, privacy-trust-behavioral intention model, and Concern for Information Privacy(CFIP). The target population of this study was LBS users. Data for this study were collected from January 21 to March 20, 2014. The data were gathered from 231 questionnaire respondents with experience using LBS. Among these reponses, 21 were excluded because of missing or inappropriate data. After removing the unsuitable questionnaires, a total of 210 surveys were considered for analysis. The results of hypothesis testing are as follows. First, location awareness positively influence privacy concerns. Second, privacy concerns negatively influence trust. Finally, trust positively influence purchase intention. The results of this study will provide various implication to improve purchase intention of LBS.

• Journal of Computing Science and Engineering
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• v.7 no.3
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• pp.177-186
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• 2013

We briefly review the problem of statistical disclosure control under differential privacy model, which entails a formal and ad omnia privacy guarantee separating the utility of the database and the risk due to individual participation. It has born fruitful results over the past ten years, both in theoretical connections to other fields and in practical applications to real-life datasets. Promises of differential privacy help to relieve concerns of privacy loss, which hinder the release of community-valuable data. This paper covers main ideas behind differential privacy, its interactive versus non-interactive settings, perturbation mechanisms, and typical applications found in recent research.

• International Journal of Contents
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• v.15 no.4
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• pp.74-81
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• 2019

This study examined the overall relationship between information privacy concern, need for uniqueness (NFU), and disclosure behavior to explain the personal factors that drive data-sharing on Facebook. The results of an online survey conducted with 222 Facebook users show that among diverse data that social media users disclose online, four distinct factors are identified: basic personal data, private data, personal opinions, and personal photos. In general, there is a negative relationship between privacy concern and a positive relationship between the NFU and the willingness to self-disclose information. Overall, the NFU was a better predictor of willingness to disclose information than privacy concern, gender, or age. While privacy concern has been identified as an influential factor when users evaluate social networking sites, the findings of this study contribute to the literature by demonstrating that an individual's need to manifest individualization on social media overrides privacy concerns.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4463-4483
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• 2019

Privacy-preserving collaborative filtering schemes take privacy concerns into its primary consideration without neglecting the prediction accuracy. Different schemes are proposed that are built upon different data partitioning scenarios such as a central server, two-, multi-party or peer-to-peer network. These data partitioning scenarios have been investigated in terms of claimed privacy promises, recently. However, to the best of our knowledge, any peer-to-peer privacy-preserving scheme lacks such study that scrutinizes privacy promises. In this paper, we apply three different attack techniques by utilizing auxiliary information to derive private ratings of peers and conduct experiments by varying privacy protection parameters to evaluate to what extent peers' data can be reconstructed.

• The Journal of Information Systems
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• v.21 no.4
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• pp.55-79
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• 2012

LBS(Location-Based Service) is one of the smartphone application services which has been receiving great attention recently. Various applications of smartphone use LBS to provide innovative services. However, use of LBS raises privacy concerns because the location information of users is constantly exposed. Privacy calculus perspective attempts to understand the characteristics of the user's privacy. It is based on the risk-benefit analysis in the economics' perspective. That is, when the benefit expected through personal information disclosure is higher than risk, we are willing to provide personal information. This research suggested a research model based on the privacy calculus perspective to clarify the effect of information disclosure intention of smartphone LBS application users. Based on the main factors of privacy calculus, perception of privacy risk and privacy benefit, the relationship of the perceived value and the information disclosure intention was empirically analyzed by utilizing structural equation modeling(SEM) methodology. According to the results of the empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between privacy concern and information disclosure intention. This study showed a strong evidence of antecedent factors based on privacy calculus of personal information disclosure in smartphone LBS applications.