MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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The Factor of Trust, Privacy and Convenience Risk on Consumer
Online Shopping Behavior
Sakinah Salehudin
1
Maizatul Saadiah Mohamad
2,
Harniyati Hussain
3
, Roszi Naszariah Nasni Naseri
4
,
Afzan Sahilla Mohd Amir Hamzah
5
, Halimahton Burhan
6
, Siti Nurul Aini Mohd Rodzi
7
, Ratno
Agriyanto
8
, Nurfatoni
9
, H. Muhammad Saifullah
10
, Ali Murtadho
11
1,2,3.4.5,6
Faculty of Business and Management, UiTM Cawangan Melaka,Malaysia
7
Faculty of Business and Management, UiTM Cawangan Kedah Darul Aman, Malaysia
8,9,10,11
Faculty of Economy and Islamic Business UIN Walisongo, Indonesia
DOI: https://dx.doi.org/10.47772/IJRISS.2025.923MIC3ST25003
Received: 12 August 2025; Accepted: 20 August 2025; Published: 24 October 2025
ABSTRACT
This study explores the influence of three key factors trust, privacy concerns, and convenience riskon
consumer behavior in the context of online shopping. As e-commerce continues to grow rapidly, understanding
these psychological and functional variables is critical for online retailers seeking to enhance customer
satisfaction and encourage repeat purchases. Trust plays a pivotal role in shaping consumer confidence,
especially in the absence of face-to-face interaction. When consumers perceive online vendors as honest,
reliable, and secure, they are more likely to complete transactions. Privacy concerns reflect consumers'
apprehension regarding the collection, use, and potential misuse of their personal data. A lack of transparency
or control over personal information often leads to decreased willingness to engage in online commerce.
Meanwhile, convenience risk refers to the potential inconvenience consumers may face during the shopping
process, such as delayed deliveries, unclear return policies, or difficult website navigation. High levels of
convenience risk can negatively impact user satisfaction and increase cart abandonment rates. This study
emphasizes that addressing these three factors is essential for building consumer trust, enhancing user
experience, and fostering long-term loyalty in online shopping environments. One of the main limitations of
this study is the absence of empirical analysis. As this research is conceptual in nature, it does not include
primary data collection or statistical testing to validate the proposed relationships between trust, privacy
concerns, convenience risk, and consumer online shopping behavior. Therefore, while the framework and
discussions are grounded in recent literature, the findings remain theoretical and would benefit from future
empirical validation.
Keywords: Online Shopping Behavior, Trust, Privacy, Convenience Ris
INTRODUCTION
The recent advancements in technology have made it possible for people to purchase goods and services
through online marketplaces such as Tik Tok Shop, Lazada, and Shopee. These platforms have become
indispensable for consumers to fulfill them needs.
Online shopping, sometimes referred to as e-commerce (Electronic Commerce), is carried out via computers,
smartphones, and other smart devices (Bloomenthal, 2024). Compared to traditional shops or merchants, this
industry is becoming more and more competitive in both the local and worldwide economic markets. The
process of buying and selling goods or services online is commonly referred to as "online shopping" (Reed,
2024). It is the custom of purchasing goods directly from a vendor without the use of a middleman.
Additionally, consumers can purchase a variety of goods and services through online shopping, allowing them
to compare prices with those of other middlemen and select the best deal (Sivanesan, 2017). Before making a
purchase, millennials prefer to examine features, costs, schedules, programs, and product quality online,
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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according to the 2019 Indonesian Millennial Report (idEA, 2019).
Online shoppers' attitudes, preferences, and decision- making processes are all influenced by their behavior
when making purchases. Wenzl (2024) defines online consumer behavior as the method by which customers
decide which items to buy from an online retailer. According to Katerina Kondrenko (2024), this behavior
encompasses a range of psychological processes and behaviors, including how consumers look for products,
peruse online retailers, make decisions, and form purchasing habits. Furthermore, because online buying is
more convenient, based on consumer perception, and tailored to the needs of the user, it is especially
significant for marketing online electronic services when compared to traditional services (Lim et al., 2014).
Understanding and taking into account consumer online shopping behavior is crucial, particularly for online
businesses, since it enables this sector to successfully satisfy customer expectations. Customer trust in online
retailers is one of the main factors that make consumer behavior in online purchasing significant. The basis of
e- commerce is trust. Customers' behavioral attitudes may be influenced by their level of confidence in online
retailers. According to Kartajaya et al. (2021), one factor influencing consumers' attitudes toward online
purchasing is their degree of trust.
Well-known shopping platforms can foster trust, which aids consumers in making judgments about what to
buy, according to earlier studies. Reviews and star ratings on purchasing platforms are two examples of factors
that might boost consumer trust in online products. According to Laparojkit and Suttipun (2022), trust is a
persistent problem in online shopping, as evidenced by the increase in fraud cases through various course
sharing platforms. This shows that trust is a major factor in determining whether an investor will participate in
business or online transactions. Additionally, the growing popularity of consumer trust in suppliers should be
based on their belief that they are trustworthy, capable of taking action, and able to meet customer needs.
However, privacy also had an impact on online shoppers' purchasing decisions. Customers' views and actions
about online purchasing have been greatly influenced by their growing awareness of online data manipulation
and anxiety about the security of their financial and personal information (Abiakwe, 2020 & Bandara et al.,
2020). Protecting consumer privacy is essential to the success of e-commerce (Liu et al. 2004). While a
company's privacy statement may be important for startups and unnamed organizations, customer happiness is
important for well- established businesses (Milne and Culnan, 2004).
Two characteristics of the internet and privacy are the main concerns of individuals, according to studies. The
first is that anyone using the Internet can find private information. The second is what will happen to the private
information they voluntarily gave (Dinev and Hart, 2004). Many consumers lack the knowledge necessary to
make informed judgments, despite the fact that the experience shapes their opinions on privacy. According to
Anton et al. (2007), most customers are not aware of websites' privacy policies. Last but not least, convenience
risk is the belief that internet buying may not be as simple as it seems. For instance, a delayed delivery, trouble
using a platform, or the inconvenience of having to return items to clients. Customers are alert to convenience
hazards when they shop online because of these issues. According to Bhatti et al. (2019), convenience risk is the
chance that products will be delivered to the wrong person or that they will be misplaced or harmed during
transit. Additionally, a number of issues pertaining to convenience risk lessen consumers' propensity for online
shopping. Low literacy rates, language barriers, a lack of technological expertise, adequate products, IT
infrastructure, and a shortage of transaction time are some of these issues (Haider & Nasir, 2016; Nazir et al.,
2012; Tariq, Bashir, & Shad, 2016; Chaudary et al., 2014; Aijaz & Butt, 2009).
PROBLEM STATEMENT
The rapid growth of online shopping has fundamentally altered customer behavior because of how easy and
accessible it is to purchase goods and services. Many consumers are still hesitant to shop online despite its
benefits due to a number of problems. Trust is one issue that comes up. Online shopping differs from
traditional purchasing since it entails risk and imprecise information. Because of these issues, online retailers
need to win over customers' trust and convince them that online purchasing is superior to traditional retail
(Mempengaruhi et al., 2020).
One trust barrier that may deter consumers from making purchases online is a lack of trust. Customers are
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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unsure when they shop online since they are unable to fully assess the information they encounter. This
uncertainty falls into two categories: environmental and behavioral. Credit card fraud, privacy violations, and
unauthorized publication of personal information are among the problems associated with environmental
uncertainty brought on by the internet's unpredictability (Fereshte Rasty et al., 2020). Due to the consequent
loss of trust, many customers are reluctant to engage in certain online buying behaviors, such as disclosing
personal information or making purchases online (Fortes & Rita, 2016).
The second problem with internet buying is privacy, as customers worry that their personal data may be abused
or stolen. 2500 American customers were worried about their digital privacy, according to a recent nationwide
poll by Private Internet Access (PIA). Notably, 66% of them said they were anxious about their privacy when
they shopped online (Williams, 2023). In general, people make an effort to safeguard their online privacy,
(Boerman et al., 2018). It is simple to acquire, examine, and merge personal information with information
gathered by other organizations.
This may occur when individuals' personal information is collected without their knowledge or agreement,
potentially leading to privacy infractions and legal issues (Data, 2024). Boerman et al. (2018) claim that people
avoid the internet and give misleading information online mostly due to privacy concerns. Finally, problems
with convenience risk, such complicated return rules, product inconsistencies, and shipment delays, negatively
impact the whole online purchasing experience (Ahmad et al., 2020).
Figure 1 : Total retail e-commerce revenue worldwide 2024
Figure2: The social shoppers privacy concern in2019
The enormous number of options available online may cause decision fatigue and increase the stress of the
transaction due to the convenience risk associated with online purchasing (Decision Fatigue Is Ruining Online
purchasing, but Existing Tech Can Help, 2024). According to Adnan (2014), approximately 43% of purchases
end in failure because the consumer lacks the necessary literacy and understanding to identify the relevant
products or complete the online transaction.
URGENCY TO CONDUCT STUDY
In 2024, the e-commerce revenue in Oceania and Africa was less than 50 billion US dollars, while the e-
commerce revenue in the United States was approximately 500 million US dollars. Asia's leading position is
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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mostly due to China, whose revenue in 2024 will surpass 1.4 billion US dollars. For example, worries about
fraud, data security, and logistical inefficiencies are causing online shopping to spread quickly throughout Asia,
which may discourage potential buyers and restrict industry growth.
Growing reliance on online shopping, particularly since the COVID-19 pandemic, has raised significant issues
including privacy, trust, and convenience risk, illustrating how online shopping significantly affects consumer
behavior. This is because, even after the outbreak forced people to shop online, they were likely to keep doing
so because of the advantages it offered, like better information seeking and less transportation costs (Kim RY,
2020). Channel changes and brand loyalty were disrupted to an unprecedented degree by the outbreak.
Significantly, 75% of consumers adopted new purchasing behaviors, many emphasizing convenience and
value. 39% of them, mostly Gen Z and millennials, chose new brands over well-known ones (Emerging
Consumer Trends in a Post-COVID- 19 World, 2021).
Figure 1 show that highlighted Asia as the largest contributor to global e- commerce revenue, emphasizing the
regions dominant role in the online shopping market. In 2024, the combined revenue from internet retail in
Asian nations was close to two trillion dollars. Based on figure 2 show, despite the fact that more consumers
make purchasing online, internet users characterize the activity as overwhelming, challenging, and frustrating.
In general, consumers are worried about data security as well as privacy. The results showed that 66% of social
shoppers are concerned about how businesses utilize their personal information more than the overall internet
user rate of 63%. In a similar vein, 60% of internet users and 62% of social shoppers express concern about
privacy degradation. Online anonymity is preferred by 53% of social shoppers, which is little less than the 54%
of users in general. These results demonstrate the pressing need for a thorough investigation to tackle the
escalating privacy and data security issues, guaranteeing that e- commerce platforms can restore customer
confidence and improve the online purchasing experience for customers (Social Shoppers Privacy Concerns,
2019).
RESEARCH OBJECTIVES
Research Objective 1:
To determine the relationship between Trust on Consumer Online Shopping Behavior.
Research Objective 2:
To determine the relationship between Privacy on Consumer Online Shopping Behavior
Research Objective 3:
To determine the relationship between Convenience Risk on Consumer Online Shopping Behavior
RESEARCH QUESTIONS
Research Question 1:
Is there any significant relationship between Trust on Consumer Online Shopping Behavior?
Research Question 2:
Is there any significant relationship between Privacy on Consumer Online Shopping Behavior?
Research Question 3:
Is there any significant relationship between Convenience Risk on Consumer Online Shopping Behavior?
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
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LITERATURE REVIEW
Overview of The Factor of Trust, Product Variety, And Convenience Risk on Consumer Online
Shopping Behavior
Online shopping, also referred to as e-commerce, is a separate type of electronic commerce that links
customers and sellers from anywhere in the world via a web browser (Laliberte, 2023). Long before the Internet
was invented, online buying started in the 1970s. This was made possible by technology such as Electronic
Data Interchange (EDI), which enabled the first online transactions by enabling businesses to electronically
communicate sales and information such as purchase orders or invoices. When the first online store and the
World Wide Web were introduced in 1994, Web, e- commerce started to gain development. The large
platforms including Amazon (1995) and eBay (1995) have emerged, contributing to the rapid expansion of e-
commerce since 1994. By eliminating the need to visit physical businesses, these platforms transformed the
retail sector by introducing the concepts of online buying and selling (Dujardin, 2024).
Researchers began studying online purchasing as it became more popular. Selling products or services is only
one aspect of electronic e-commerce; additional goals include retaining customers, building relationships with
other businesses, and conducting business with them (Tian and Stewart, 2007). Customer behavior is
influenced by a number of elements, such as privacy, trust, and convenience risk. Consumer loyalty and online
buying behavior are significantly influenced by trust, and security and trust are related, according to Gommans
et al. (2001). The customer cannot look directly into the salesperson's eyes or view the merchandise in person
when placing an order. Therefore, it is essential for firms to establish trust with their consumers in order to
avoid uncertainty.
Moreover, online shopping might give you more privacy than in-store shopping. People are less likely to see
what you buy and spent.
Yet, the overall privacy risks are much higher online, (Hilst, 2016). Principally, consumers have the right and
authority over their personal information. According to Soffer & Cohen. (2015), mentioned privacy is about
the right to know who collects their personal information, why the information is being collected, and how it
will be used. The majority of research participants indicated that they valued privacy, with particular concerns
over the disclosure of different aspects of personal information.
A wide range of products and different online vendors also present a convenience risk. Liu, Gardner, Shannon,
and Forsythe (2006). When consumers are unable to recognize the perfect products, they may become very
anxious. Customers' perceptions that ordering will be challenging, that they won't be able to cancel once they've
made their purchase, or that there will be delays in product delivery or returns are all associated with
convenience risk (Forsythe, Liu, Shannon, & Gardner, 2006). According to Adnan (2014), 43% of purchases
fail because the buyer is unable to identify the relevant items or has trouble completing the online transaction.
Trust in E-Commerce
Quintus et al. (2024) examined advanced (Austria) and emerging (Moldova) markets and discovered that trust
is strongly influenced by website quality, perceived security, and firm reputation. This, in turn, greatly
increases purchase intention while lowering perceived risk. Lăzăroiu et al. (2020) demonstrated that trust is a
crucial component in online buying decisions by confirming that it positively modulates the detrimental effect
of perceived risk on purchase intention in social media commerce finalizing an online purchase (Adnan, 2014).
Privacy Concerns
Using automated analysis, Vlachogiannakis et al. (2025) found that about 30% of well-known online retailers
give up personal information to Facebook and other third parties, thus raising worries about consumer privacy.
Zhang & Yu (2020) demonstrated in Chinese samples that cross-platform purchase behavior is adversely
affected by perceived risk, particularly with regard to service and product security. These worries are lessened
by trust. Furthermore, Jiang et al. (2024) discovered that while risk tolerance and privacy experience moderate
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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perceived privacy control, trust mediates this relationship and does not necessarily lower privacy worries.
Convenience Risk (Perceived Risk of Convenience) Chiu et al. (2021) demonstrate that perceived
convenience, combined with usability and low waiting times, increase repeat purchase intention. Similarly,
Yang & Forney (2023) found that complex navigation and delayed delivery elevates convenience risk, which
leads to cart abandonment and lower satisfaction especially in mobile commerce contexts. Interaction of
Trust, Privacy, and Convenience Risk Pakistani study by Riaz et al. (2024) revealed that financial, time, and
psychological risks negatively affect trust, which in turn influences online purchase
Figure 3: Proposed Theoretical Framework
Thus, from the above- mentioned relationship, the hypothesis for this study can be derived as follows:
H1: There will be a significant and positive relationship between trust and consumer online shopping behavior.
H2: There will be a major and affirmative relationship between privacy and consumer online shopping
behavior.
H3: There will be a significant and positive relationship between convenience risk and consumer online
shopping behavior.
Practical Strategies for Mitigating Online Retail Risks
Online retailers face persistent challenges in fostering consumer trust, particularly in environments
characterized by perceived convenience and privacy risks. Several actionable strategies can address these
concerns effectively. First, retailers should simplify and clarify privacy policies by replacing dense legal jargon
with accessible, consumer-friendly language. Clear explanations of what data are collected, why they are
necessary, and how they benefit the user can improve trust and reduce hesitation to transact (TechRadarPro,
2025). Complementing this effort, organizations should adopt data minimization principles, collecting only the
information essential to improving the consumer experience, which simultaneously reduces security
vulnerabilities and regulatory exposure (TechRadarPro, 2025).
Second, empowering consumers through granular data control mechanisms is vital. Privacy preference centers
that allow users to view, modify, or delete personal datacombined with transparent explanations of how each
choice affects service functionalityreinforce perceptions of autonomy and ethical data stewardship
(TechRadarPro, 2025). In parallel, visible security and trust assurances should be leveraged. Prominently
displaying recognized third-party trust certifications, such as SSL, Norton Secured, or McAfee badges,
provides a tangible signal of transactional safety (CommerceGurus, 2022). Empirical evidence suggests that
more than 60% of consumers hesitate to purchase when recognizable trust marks are absent, underscoring their
commercial importance (Drip/Actual Insights, 2022).
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Moreover, the strategic placement of trust seals particularly on high-conversion pages such as checkout
interfacescan optimize their persuasive impact. Ideally, these seals should be interactive, linking to
explanatory content that verifies their authenticity, while avoiding visual clutter that may produce cognitive
overload (Abmatic.ai, n.d.). Beyond user-facing interventions, retailers must ensure the integrity of back- end
processes. Regular privacy audits, continuous third- party vendor monitoring, and structured
onboarding/offboarding procedures provide ongoing assurance that data practices remain compliant and secure
(Corporate Compliance Insights, 2023; One Trust/Cyber Risk Alliance, 2025).
Finally, investment in privacy-enhancing technologies (PETs) can sustain innovation while preserving trust.
Techniques such as encryption, consent management platforms, and differential privacy mechanisms allow
personalization without compromising confidentiality (Wikipedia, 2025). Transparent communication
regarding the use of first-party data for customized experiences, such as Instacart’s anonymized and opt-in
personalization model, demonstrates how operational transparency can both comply with evolving regulations
and enhance perceived value (Deloitte & The Wall Street Journal, 2024). Collectively, these measures
represent a holistic framework for mitigating perceived convenience and privacy risks in e-commerce
environments, strengthening both transactional efficiency and long-term relational capital.
CONCLUSIONS
In the evolving landscape of e-commerce, consumer behavior is significantly influenced by three pivotal factors:
trust, privacy concerns, and perceived convenience risk. Trust: Trust serves as the cornerstone of online
shopping behavior. It encompasses consumers' confidence in the reliability and integrity of online retailers. A
trustworthy platform can alleviate apprehensions related to product quality, transaction security, and service
delivery.
Customer may refrain from online due to concerns about the gathering, storing, and possible misuse of personal
and financial data. Skepticism endures despite the adoption of security safeguards and privacy regulations,
underscoring the need for stronger and more open data protection procedures. Perceived Convenience Risk:
This refers to the possible challenges that customers may
In summary, while trust can enhance consumer engagement in online shopping, privacy concerns and
perceived convenience risks pose significant barriers. Addressing these challenges through improved
transparency, user-friendly interfaces, and robust security measures is essential for fostering a more conducive
online shopping environment.
To foster positive online shopping behavior without new empirical studies, online retailers should: Cultivate
trust through secure infrastructure, transparent policies, and reliability. Actively mitigate privacy risk by
providing clear data practices, visible third-party certifications, and user control. Reduce convenience risk via
intuitive design, seamless logistics, and easy return processes. By addressing these three in concert, retailers
can create a more compelling, reassuring, and frictionless shopping environment even in the absence of brand-
new empirical validation. Encounter when they shop online, like difficult navigation, postponed delivery, or
onerous return procedures. The online purchasing experience may suffer as a result of such annoyances,
prompting customers to switch to more conventional means or look for other platforms that provide more
efficient services.
REFERENCES
1. Ackerman, M., & Davis, D. (n.d.). Privacy and Security Issues in E-Commerce. Alhouti, S., Johnson,
C., & Souza, G. (n.d.). The Complex Web of Values: The Impact on Online Privacy Concerns and
Purchase Behavior.
2. Amit, K., Singh, Sailo, M., Packaged, A., & Aizawl, D. (2013). Consumer Behavior in Online
Shopping: A Study of Aizawl.
3. International Journal of Business & Management
4. Abmatic.ai. (n.d.). The role of trust seals and certifications on landing pages. Retrieved from
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
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https://abmatic.ai/blog/role-of trust-seals-and-certifications-on-landing-pages
5. Bashir, D. R., Irsa Mehboob, & Bhatti, W. K. (2019). Effects of Online Shopping Trends on Consumer-
Buying Behavior
6. Bhatti, A., Saad, S., & Gbadebo, S. (2018). Science Arena Publications International journal of
Business Management Convenience Risk Product Risk, and Perceived Risk Influence on Online
Shopping: Moderating Effect of Attitude. Convenience Risk, Product Risk, and Perceived Risk
Influence on Online Shopping: Moderating Effect of Attitude, 3(2),1 11.
7. Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F.
8. J. (2018). Exploring Motivations for Online Privacy Protection Behavior: Insights from Panel Data
Communication.
9. Brüseke, L. (2016). The influence of privacy perceptions on online shopping behavior: a comparison
between millennials and baby boomers -University of Twente Student Theses.
10. Utwente
11. Chan, G., Cheung, C., Kwong, T., Limayem, M., Zhu, L., & Lei, Z. (2003). Association for
Information Systems AIS Electronic Library (AISeL) BLED 2003 Proceedings BLED Proceedings
Online Consumer Behavior: A Review and Agenda for Future Research Recommended Citation
(p.43).
12. Charandabi, S., & Omidreza Ghanadiof. (2022). Evaluation of Online Markets Considering Trust and
Resilience: A Framework for Predicting Customer Behavior in E- Commerce. Journal of Business and
Management Studies, 4(1), 2333.
13. Chiu, C.-M., Wang, E. T. G., Fang, Y.-H., & Huang, H.-Y.
14. (2021). Understanding customers’ repeat purchase intentions in B2C e-commerce: The roles of
utilitarian value, hedonic value and perceived risk. Information Systems Journal, 31(1), 85114.
15. CommerceGurus. (2022). Trust badges and their impact on conversions. Retrieved from
https://www.commercegurus.com/trust-badges/
16. Corporate Compliance Insights. (2023). Evaluating company data privacy strategies. Retrieved
from https://www.corporatecomplianceinsights.com/evaluating- company-data-privacy-strategies/
17. Deloitte & The Wall Street Journal. (2024). At Instacart, embracing privacy to elevate customer
trust. Retrieved from https://deloitte.wsj.com/riskandcompliance/at-instacart- embracing-privacy-to-
elevate-customer-trust-c5ada93d
18. Drip/ActualInsights. (2022). Trust badges: Why they matter and how to use them. Retrieved from
https://www.drip.com/blog/trust-badges
19. OneTrust/Cyber Risk Alliance. (2025). Third-party risk assessment best practices. Retrieved
from https://www.onetrust.com/resources/7-third-party-risk- assessments-best-practices-webinar/
20. Dwi, P., Septiane, A., & Purmono, B. (2023). JEMBA Journal of Economics, Management, Business
and Accounting the Influence of Website Quality and Pay- Later Payment on Online Impulse Buying
with Shopping Enjoyment as A Mediation Variable (Case on Generation Z Indonesian
21. Fereshte Rasty, Seyyed Habibollah Mirghafoori, Saeid Saeida Ardekani, & Ajdari, P. (2020). Trust
barriers to online shopping: Investigating and prioritizing trust barriers in an intuitionistic fuzzy
environment. International Journal of Consumer Studies, 45(5), 10301046.
22. Gautam, S., & Malik, P. (2022). Importance of perceived security, perceived privacy and website
design of active online investors: an Indian market perspective. International Journal of Electronic
Finance, 1 1 (1), 30.
23. Gong, J., Said, F., Ting, H., Firdaus, A., Aksar, I. A., & Xu, J. (2022). Do Privacy Stress and Brand
Trust still Matter? Implications on Continuous Online Purchasing Intention in China. Current
Psychology, 42(18), 1551515527.
24. Gusti, R., & Muhammad, A. (2021). How Product Innovation and Motivation Drive Purchase
Decision as Consumer Buying Behavior. Journal of Distribution Science, 19(1), 49 60.
25. Inoue, H., & Yasuyuki Todo. (2023). Has Covid-19 permanently changed online purchasing behavior?
EPJ Data Science, 12(1). Journal of HumanComputer Interaction.
26. Jiang, Z., Wang, Y., & Zhang, X. (2024). Examining the inconsistent effect of privacy control on
privacy concerns in e- commerce services: The moderating role of privacy experience and risk
propensity.
27. Computers & Security, 133, 103464
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
Page 31
www.rsisinternational.org
28. Lăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P.
29. C. (2020). Consumers’ decision- making process on social commerce platforms: Online trust,
perceived risk, and purchase intentions. Frontiers in Psychology, 11, 890.
30. Mai, T., & Hue, N. T. (2023). Factors Affecting Consumer’s Online Shopping Behavior During the
Covid-19 Pandemic: An Integrative Model. Advances in Economics, Business and Management
Research/Advances in Economics, Business and Management Research.
31. Makhitha, K., & Ngobeni, K. (2024). The Effect of Perceived Risk in Online Shopping Intention:
Does Attitude Mediate the Relationship? Expert Journal of Marketing, 12(1),1 22.
32. Bhatti, A., Rehman, S., Kamal, A., & Akram, H. (2020). Factors Effecting Online Shopping
Behaviour with Trust as Moderation. Jurnal Pengurusan, 60, 115.
33. Nada, N., Marheni, E., Saputri, D., Sari, M., & Fakhri. (n.d.). The Effect of Consumer Trust, Attitude
and Behavior Toward Consumer Satisfaction in Online Shopping Platform.
34. Nagy, S., & Hajdu, N. (2022). Consumer acceptance of the use of artificial intelligence in online
shopping: Evidence from Hungary.Amfiteatru Economic, 24(59), 155173
35. Nurdiana Putri, Yadhit Prasetya, Putu Wuri Handayani, & Fitriani, H. (2023). TikTok Shop: How Trust
and Privacy Influence Generation Z’s P u r c h a s i n g Behaviors. Cogent Social Sciences,
36. Ou, R. (2016). Bachelor Thesis Privacy perception of online shopping behavior between millennials
and non- millennials in Chinese digital marketing Pakistan. Journal Management and Research,
2(2),124.
37. Quintus, M., Mayr, K., Hofer, K. M., & Chiu, Y.
38. T. (2024). Managing consumer trust in commerce: Evidence from advanced versus emerging
markets.International Journal of Retail & Distribution Management. Advance online publication.
39. Rahman, M. A., Islam, Md. A., Esha, B. H., Sultana, N., & Chakravorty, S. (2018). Consumer buying
behavior towards online shopping:An empirical study on Dhaka city, Bangladesh.
40. Cogent Business & Management, 5(1). Tandfonline
41. Rasty, F., Mirghafoori, S. H., Saeida Ardekani, S., & Ajdari, P. (2020). Trust barriers to online
shopping: Investigating and prioritizing trust barriers in an intuitionistic fuzzy
42. Reed, C. (2024). New Geographies of Electronic Commerce: An Appraisal of Omni- channel
Strategies in the United States Grocery Industry. Trace: Tennessee Research and Creative Exchange.
43. Rehman, S. U., Bhatti, A., Mohamed, R., & Ayoup,
44. H. (2019). The moderating role of trust and commitment between consumer purchase intention and
online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research,
Research (IJBMR), 1(3),2347 4696.Research, 48(7), 009365021880091.
45. Riaz, S., Khan, M. A., & Shah, S. H. A. (2024).
46. The impact of financial, time, and psychological risks on trust and online purchase behaviour:
Evidence from Pakistan. Journal of Internet Commerce, 23(1), 4567.
47. Sapkota, R., & Kaur, H. (2024). Assessing the growth of e- commerce: a survey-based analysis of
online shopping trends among ASEAN people.
48. Silva. (2022, February 27). Impact of Trust on Online Buying Behavior. ResearchGate; unknown.
Syahiman Ghazalle, M., & Abdul Lasi, M. (2021). Determinant Success Factors on Customer
49. Tham, K. W., Dastane, O., Johari, Z., & Ismail, N.
50. B. (2019). Perceived Risk Factors Affecting Consumers’ Online Shopping Behaviour. SSRN
Electronic Journal.
51. The causal factors influencing repurchase intentions of local tourists in Thailand during COVID- 19
crisis| Emerald Insight. (2021). Journal of Tourism Futures, ahead- of- print (ahead- of- print)
52. Tran, V.-D., & Vu, Q. H. (2019). Inspecting the Relationship among E-service Quality, E- trust, E-
customer Satisfaction and Behavioral Intentions of Online Shopping Customers. Global B u s i n e
s s
F i n a n c e R
e v i e w, 2 4 (3), 2 9 42.
53. TechRadarPro. (2025). Trust as a competitive advantage: A data privacy expert’s perspective.
Retrieved from https://www.techradar.com/pro/trust-as-a-competitive- advantage-a-data-privacy-
experts-perspective
54. Wikipedia. (2025). Soft privacy technologies. Retrieved from
https://en.wikipedia.org/wiki/Soft_privacy_technologies
55. Understanding Consumer Trust Dynamics and Purchase Intentions in a Multichannel Live Streaming
MIC3ST 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
Virtual Conference on Melaka International Social Sciences, Science and Technology 2025
ISSN: 2454-6186 | DOI: 10.47772/IJRISS | Special Issue | Volume IX Issue XXIII October 2025
Page 32
www.rsisinternational.org
E-Commerce Context: A Trust Transfer Perspective. (2024). International
56. Vlachogiannakis, I., Papadogiannakis, E., Papadopoulos, P., Kourtellis, N., & Markatos, E. (2025). I
know what you bought last summer: Investigating user data leakage in e- commerce platforms.
57. Voigt, C., Schlögl, S., & Groth, A. (2021). Dark patterns in online shopping: Of sneaky tricks,
perceived annoyance and respective brand trust.
58. Wai, K., Dr Omkar Dastane, Zainudin Johari, & Ismail, N.B. (2019). Perceived Risk Factors Affecting
Consumers’ Online Shopping Behaviour. SSRN Electronic Journal.
59. Williams, S. (2023, November 20). 2/3 consumers have digital privacy concerns when shopping
online. ECommerceNews India.
60. Yao, P., Osman, S., Sabri, M. F., & Norzalina Zainudin. (2022). Consumer Behavior in Online- to-
Offline (O2O) Commerce: A Thematic Review. Sustainability, 14(13), 7842 7842.
61. Yunus, M., Saputra, J., & Muhamma, Z. (2022). Digital marketing, online trust and online purchase
intention of e - commerce cu s t o mer s: Mediating t h e r o le o f c u s t o mer relatio nship International
Journal of Data and Network Science, 6(3), 93593