Protection of Personal Data in the Context of E-Commerce
Abstract
:1. Introduction
2. Related Works
Addressing Shortfalls in Related Works
- Our study stands out from Boritz and No [3] by comprehensively analyzing emerging technologies and their impact on e-commerce privacy. We address the gap in the existing literature by examining how new technologies can be utilized to enhance privacy protection.
- In our study, we take a step beyond the proposals made by Zhong and Wang [7] by conducting empirical evaluations of these solutions in different e-commerce scenarios. Our research provides solid evidence to support the implementation of these solutions, demonstrating their effectiveness.
3. Protection of Personal Data on the Internet
3.1. Basic Personal Data Concepts
3.2. GDPR
3.3. The Importance of Protecting Personal Data on the Internet
3.4. Collecting Confidential Information Online
3.5. Identity Theft
4. Online Store in Croatia
4.1. Advantages and Limitations of Online Commerce
4.2. The Importance of GDPR for the Growth of Online Consumption
5. Digital Marketing in E-Commerce
5.1. The Importance of Digital Marketing for Online Commerce
5.2. Effects of GDPR and ePrivacy on Digital Marketing
6. Research Objectives and Methodology
6.1. Questionnaire and Data Collection
6.2. Structure of the Data Protection Questionnaire
6.3. Results Analysis
6.3.1. Demographic Overview
- Male respondents were more prevalent in the 18–35 age range. One possible explanation for this phenomenon is the higher level of digital literacy and more frequent use of online shopping channels among men, which may contribute to their increased engagement with technology and e-commerce platforms. Sharing personal information online may be more common among males in these age groups, possibly due to social and cultural factors that encourage early technology adoption.
- It is worth noting that in the 56+ age group, there is a shift in the trend, with females outnumbering males among the respondents. Several factors could contribute to this shift. One possible reason is that women tend to have longer life expectancies, resulting in a larger female population in older age groups. Additionally, older males may be more concerned about privacy and avoid online sharing of personal data.
- Analyzing performance in terms of familiarity with GDPR and comfort with online transactions, it was observed that the 36–45 age group, particularly males, displayed the highest level of performance. This group has probably already established themselves in their careers, possessing higher disposable income and greater familiarity with online transactions. This contributes to their confidence in navigating e-commerce platforms. In contrast, the oldest age group (56+), particularly females, exhibited the lowest performance in these areas. There appears to be a potential difference in understanding and trust in digital privacy regulations between different generations. This difference could be due to older respondents having lower levels of digital literacy and less online experience than younger individuals.
- The survey findings indicate a positive relationship between higher levels of education and income and a more robust comprehension and trust in online shopping and data protection laws. Individuals with higher education levels demonstrated a greater sense of assurance in their capacity to navigate online transactions securely. In contrast, those with lower income levels exhibited more caution, possibly stemming from economic vulnerability and limited exposure to digital platforms.
- Targeted educational campaigns could benefit older age groups, especially those above 56, by enhancing their digital literacy and understanding of online privacy regulations. Possible options for disseminating information could involve organizing workshops, hosting webinars, and providing user-friendly guides that clarify the intricacies of online shopping and data protection.
- A potential strategy to enhance female involvement in the 18–35 age group could be to emphasize the advantages of online shopping and digital literacy on platforms and social networks catering to women. We can encourage greater female engagement by addressing the unique concerns that might discourage them from participating in e-commerce.
- A potential solution to address the disparity in digital engagement is to offer resources and support to individuals with lower incomes. This could include providing affordable access to secure online payment methods and educating them on the economic advantages of online shopping.
6.3.2. Data Security and Privacy Awareness
6.3.3. Consumer Trust and Regulatory Impact
6.3.4. Payment Methods and Economic Trust
6.3.5. Factors Influencing Online Retail Choices
- The primary reason for consumers to choose one online retailer over another is competitive pricing, according to 78% of respondents. Price remains the most influential factor in their decision-making process. Consistency in this finding is observed across all age groups, suggesting a high level of price sensitivity among consumers when shopping online. It is worth noting that although low prices may attract consumers, they do not necessarily ensure long-term customer loyalty. Balancing aggressive discounting and upholding quality and trust is crucial for retailers to effectively retain customers over time.
- The second most important factor identified was the availability of a wide range of products, with 64% of respondents expressing a preference for a broad selection of retailers. Younger consumers (18–35) place high importance on the convenience of having all their desired items available in a single location. Enhancing the shopping experience by offering a wide range of products, including niche or hard-to-find items, makes these retailers more appealing to consumers.
- Another crucial factor to consider is the level of trust that consumers, particularly those aged 56 and above, have in the retailer. These individuals tend to prioritize security and reliability over price and variety. In the decision-making process, the retailer’s reputation and the website’s perceived security played a crucial role for 54% of the respondents. Building and maintaining trust through secure transactions and transparent business practices is essential for this demographic. They are more inclined to stick with a retailer they trust, even if prices are slightly higher or the product range is more limited.
- Website navigation ease and overall user experience play crucial roles in influencing online retail choices. Approximately 47% of respondents deemed a user-friendly interface important, emphasizing quick load times and simple checkout processes. Customers are often deterred by cluttered, slow, or difficult-to-navigate websites, particularly those who are less familiar with technology or who have limited time to complete their purchases.
- The speed of delivery and the range of delivery options are important factors influencing consumer decisions. According to the survey, many participants preferred online retailers that provide prompt and dependable delivery services, including express shipping and local pick-up. Time-sensitive purchases and convenience are critical considerations for consumers.
- A total of 42% of respondents highlighted a significant influence on online retail choices, customer reviews, and recommendations. Positive reviews and high ratings bolster confidence in the retailer and the product, motivating new customers to purchase. In contrast, potential buyers may be discouraged by negative reviews or a lack of reviews, regardless of the price or variety of the product.
- Price Transparency and Competitiveness: Retailers must maintain competitive pricing strategies while prioritizing pricing transparency. This means avoiding hidden fees that could potentially erode consumer trust.
- Expanding Product Offerings: Increasing the variety of products available can attract a broader audience, especially younger consumers who prefer the convenience of one-stop shopping.
- Establishing Trust: To gain and maintain consumer trust, particularly among older demographics, it is crucial to prioritize website security, ensure transparent communication about data protection, and uphold a positive reputation.
- Enhancing User Experience: By prioritizing a seamless, user-friendly interface and ensuring swift website performance, businesses can significantly enhance the shopping experience and foster customer loyalty.
- Enhancing Delivery Services: Providing prompt, dependable, and adaptable delivery choices can be a distinguishing factor in a fiercely competitive market, attracting customers who prioritize convenience.
- Utilizing Customer Feedback: Encouraging satisfied customers to share positive reviews willingly and openly addressing negative feedback can significantly contribute to establishing a solid reputation and influencing potential customers’ purchasing choices.
6.3.6. Ad Blocking and Personalized Advertising
- Transparency in Data Usage: Advertisers should prioritize transparency in collecting and utilizing consumer data. Clear communication about data practices can alleviate concerns, which is especially important for older consumers with a higher level of skepticism toward personalized advertising.
- Striking a Balance Between Personalization and Privacy: To mitigate the negative response to personalized advertisements, companies must prioritize finding a middle ground that encompasses providing tailored content and upholding user privacy. Offering users the ability to control the level of personalization could potentially reduce trust and the need for ad-blocking.
- Improving User Experience: Advertisers can enhance the quality and relevance of online ads to decrease the perceived necessity for ad-blocking software. Companies can promote positive engagement with their ads by prioritizing user-friendly advertising formats and minimizing intrusiveness.
- Targeted Education Campaigns: To address the concerns of older demographics, educational campaigns may be beneficial to enhance their understanding of how personalized ads function and the steps taken to safeguard user privacy. One potential benefit of data tracking is alleviating concerns and increasing the acceptance of targeted advertising.
6.3.7. Attitudes towards Data Brokers and Privacy
- Enhanced Transparency: Data brokers and companies that utilize their services should prioritize transparency. They should provide clear and easily accessible information regarding collecting, using, and sharing consumer data. Possible measures to consider are implementing regular updates to privacy policies and improving direct communication with consumers regarding their data rights.
- Enhanced Consumer Empowerment: Building trust can be facilitated by giving consumers increased control over their data, including options to opt out of data collection or effectively manage their data. Possible improvements could include developing interfaces that are easier for users to navigate when adjusting privacy settings and providing more precise options for managing consent.
- Enhancing Regulatory Compliance: Companies must adhere to current regulations and actively support the implementation of more stringent measures in data protection, in line with the growing consumer demand for enhanced safeguards. Companies that take a proactive approach to compliance and actively support stronger regulations can establish themselves as leaders in privacy protection, enhancing their reputation among privacy-conscious consumers.
- Educational Campaigns: Informing consumers about data brokers, their operations, and the measures that can be taken to safeguard personal information can help address concerns and dispel misunderstandings. This education can be delivered through company websites, social media, and targeted campaigns.
7. Discussion
7.1. The Effectiveness of GDPR and Its Broader Consequences
7.2. Impact of Socio-Economic Factors on Online Behavior
7.3. Guidelines for Strengthening Data Protection Strategies
7.3.1. Strengthening Payment Security Protocols
7.3.2. Enhancing Transparency and Consumer Communication
7.3.3. Educating Consumers on Safe Online Practices
7.3.4. Implementing a Feedback Loop for Continuous Improvement
7.3.5. Collaborating with Regulatory Bodies for Stringent Oversight
8. Future Work
9. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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Study | Pros | Cons |
---|---|---|
Arora [1] | Highlights significant privacy breaches and advocates for stringent government regulations. | Does not propose specific solutions or discuss the role of evolving technologies. |
Muneer et al. [2] | Emphasizes the need for technical solutions to mitigate privacy and security threats in e-commerce. | Lacks detailed exploration of innovative privacy protection techniques and consumer awareness strategies. |
Boritz and No [3] | Reviews the trade-off between data disclosure and privacy risks, noting outdated research and gaps. | Fails to consider the impact of recent technological advancements on privacy. |
Ghani and Sidek [4] | Advocates for stricter control measures and the development of advanced encryption methods. | Does not provide practical examples of comprehensive privacy policies or their effectiveness. |
Salim and Neltje [5] | Analyzes legal gaps in personal data protection in Indonesia and calls for comprehensive legislation. | Limited to a single jurisdiction, lacking broader applicability. |
Moores and Dhillon [6] | Questions the efficacy of privacy seals and suggests exploring mandatory privacy legislation. | Overlooks the effectiveness of self-regulation in different contexts. |
Zhong and Wang [7] | Proposes technological and legal solutions for consumer privacy leakage. | Lacks empirical evaluation of the proposed solutions. |
Farah and Higby [8] | Discusses the conflict between data collection and consumer privacy, advocating for legislative action. | It focuses primarily on legislative solutions, ignoring technical and self-regulatory approaches. |
Antoniou and Batten [9] | Proposes new models to enhance consumer trust through improved data protection. | Does not compare these models against traditional protocols in diverse settings. |
Bella et al. [10] | Introduces a paradigm balancing anonymity and trust, proposing a differential privacy-preserving function. | The practical implementation of this new paradigm remains untested. |
Budiono et al. [11] | Explores legal protections against defaults in e-commerce, highlighting gaps in the legal framework. | It is limited to the Indonesian context, unlike other jurisdictions. |
Gadjong [12] | Examines legal relationships in personal shopping services, emphasizing accountability and legal obligations. | It does not address how these protections can be applied universally. |
Lu [13] | Identifies critical security threats and vulnerabilities in e-commerce, advocating for comprehensive security measures. | Lacks specific solutions for implementing advanced security technologies. |
Saeed [14] | Investigates customer perceptions of security and privacy in e-commerce, offering insights into policy development. | It relies heavily on self-reported data, which may not accurately reflect actual behavior. |
Monsalve-Obreque et al. [15] | Proposes a microenterprise solution to standardize processes and improve competitiveness in e-commerce. | The proposed solution is specific to a niche market and may not broadly apply. |
Duarte et al. [16] | Examines Generation Z’s receptiveness to e-commerce, providing insights into future consumer trends. | Limited geographical focus (Portugal), which may not reflect global trends. |
Chen et al. [17] | Proposes ARS-Chain, a blockchain-based framework to improve user privacy on e-commerce platforms. | The study does not explore the broader applicability of blockchain solutions across different e-commerce environments. |
Burlacioiu [18] | Analyzes e-commerce in the EU during the pandemic, revealing distinct online commerce patterns. | It focuses primarily on Romania, limiting broader generalizability. |
Kim [19] | Investigates factors motivating online shopping, identifying critical privacy and security concerns. | The study is geographically limited to Korea and does not explore cultural differences in consumer behavior. |
Marjerison et al. [20] | Investigates the acceptance of AI-based chatbots, providing insights into consumer trust issues. | The study is limited to Chinese consumers, with potential cultural biases affecting the results. |
Personal Data | Yes |
---|---|
First and last name | 86% |
Physical address | 89% |
E-mail address | 72% |
Citizen identification number | 91% |
Company identification number | 66% |
Bank account | 63% |
IP address | 78% |
Company financial data | 58% |
Student grades | 60% |
Personal ID number | 87% |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Morić, Z.; Dakic, V.; Djekic, D.; Regvart, D. Protection of Personal Data in the Context of E-Commerce. J. Cybersecur. Priv. 2024, 4, 731-761. https://doi.org/10.3390/jcp4030034
Morić Z, Dakic V, Djekic D, Regvart D. Protection of Personal Data in the Context of E-Commerce. Journal of Cybersecurity and Privacy. 2024; 4(3):731-761. https://doi.org/10.3390/jcp4030034
Chicago/Turabian StyleMorić, Zlatan, Vedran Dakic, Daniela Djekic, and Damir Regvart. 2024. "Protection of Personal Data in the Context of E-Commerce" Journal of Cybersecurity and Privacy 4, no. 3: 731-761. https://doi.org/10.3390/jcp4030034
APA StyleMorić, Z., Dakic, V., Djekic, D., & Regvart, D. (2024). Protection of Personal Data in the Context of E-Commerce. Journal of Cybersecurity and Privacy, 4(3), 731-761. https://doi.org/10.3390/jcp4030034