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This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

This study aims to determine the production process and the level of consumer acceptance of Bandung nagasari cake utilizing stevia as a natural sweetener and butterfly pea flower extract (Clitoria ternatea) as a natural coloring agent. The research employed a quantitative approach with an experimental method through organoleptic testing involving 20 panelists. Data collection techniques consisted of literature review, questionnaires, and organoleptic evaluation covering taste, texture, aroma, and appearance. The obtained data were analyzed using descriptive quantitative analysis with percentage calculations. The findings indicated that the Bandung nagasari formulation containing stevia and butterfly pea flower extract was more preferred than the formulation using granulated sugar. Approximately 90% of panelists preferred the taste attribute due to its healthier perception, while 80% of panelists favored the texture, aroma, and appearance attributes because of the softer texture and the attractive natural coloration produced by the butterfly pea flower extract. Furthermore, the product demonstrated a shelf life of 12 hours at room temperature and up to 3 days under refrigerated storage conditions. The study concludes that the incorporation of stevia and butterfly pea flower extract may serve as an innovative development of traditional Bandung nagasari cake without eliminating its traditional characteristics and shows favorable consumer acceptance.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

This study aims to examine the influence of price and electronic word of mouth (e-WOM) on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City, with a specific focus on the TikTok Shop platform. This research employs a quantitative approach using a survey method by distributing questionnaires to Generation Z consumers in Campaka Subdistrict, Bandung City, with a total of 98 respondents to collect the data. The results of the study indicate that both price and electronic word of mouth have a significant positive effect on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City. Price is generally perceived as good, although aspects related to price suitability based on income levels and purchasing power still show some weaknesses. Similarly, e-WOM activity is considered positive; however, there are still relatively weak aspects regarding the diversity of consumer reviews, as not all respondents actively pay attention to the variation of opinions in reviews. The findings also reveal a significant influence of these variables, where the effect of price on purchase decisions reaches 35.4%, while electronic word of mouth contributes 29.5%, and the combined effect of price and electronic word of mouth on purchase decisions is 64.9%. This study concludes that improvements in price perception and e-WOM can enhance purchase decisions.

The growth of e-commerce has made online marketplaces a major channel for purchasing fashion products, yet it has also increased consumer concerns about counterfeit goods, especially in shoes and sneakers. This study examines the role of Shopee Mall Signal Perception in increasing Purchase Intention for original shoes among Gen Z consumers by considering the mediating roles of Perceived Shopping Security and Decision Convenience. A quantitative explanatory approach was used, involving 239 Gen Z Shopee users in Indonesia selected through purposive sampling. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS. The findings show that Shopee Mall Signal Perception positively affects Perceived Shopping Security (β = 0.430), Perceived Shopping Security improves Decision Convenience (β = 0.399), and Decision Convenience increases Purchase Intention (β = 0.359). Shopee Mall Signal Perception also has a direct effect on Purchase Intention (β = 0.182), while the serial mediation effect through Perceived Shopping Security and Decision Convenience is significant (β = 0.062). These findings imply that marketplace labels can function as authenticity signals that reduce uncertainty, simplify consumer decisions, and strengthen confidence in purchasing original products online.

This research investigates how the characteristics of virtual influencers influence consumers’ purchase intention, with consumer perception acting as a mediating variable. A quantitative explanatory method was applied, involving 134 social media users who had been exposed to promotional content by the virtual influencer Arbie Seo for Richeese Factory. Data analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that credibility and authenticity exert a positive influence on purchase intention, whereas attractiveness shows a significant negative effect. In addition, credibility, attractiveness, and authenticity positively affect consumer perception. Consumer perception subsequently increases purchase intention and serves as a mediator in the relationship between virtual influencer characteristics and purchase intention.

Micro, Small, and Medium Enterprises in the culinary sector face multiple competitive pressures encompassing product legality, consumer trust, and the effectiveness of value communication. This Community Service activity was conducted at Warung Sambal Cidero, a culinary MSME in Kediri City, from March 28, 2026, to April 25, 2026, using a Participatory Action Research approach with four cycles: planning, action, observation, and reflection. Two main interventions were implemented: strengthening halal certification through supply chain audits, developing a Halal Product Assurance System, and assisting with SIHALAL-BPJPH registration; and improving price value strategies through consumer perception-based rebranding, value-based pricing, and optimizing digital marketing. The reflective evaluation confirmed substantive changes in the business owner's understanding of halal as a strategic business instrument, improvements to the raw material recording system, and a shift in consumer perception from a price-oriented to a value-oriented one. This activity contributes to the theoretical integration of the PAR approach and strategic management and marketing frameworks in the context of Indonesian culinary MSMEs.

This study examines the implementation of Islamic business ethics in e-commerce transactions, with a specific focus on the Shopee platform. The research is motivated by the increasing growth of digital commerce accompanied by various ethical issues such as product misrepresentation, lack of transparency, and weak accountability of sellers. The objective of this study is to analyze how ethical principles, including honesty, fairness, and responsibility, are applied in online transactions. This research employs a qualitative approach using a systematic literature review method by analyzing 20 relevant scholarly articles published between 2020 and 2026. The findings reveal that although the platform provides adequate transactional systems, ethical violations are still prevalent, primarily due to information asymmetry between sellers and consumers. Trust emerges as the most influential factor in purchasing decisions, while perceived risk and security play supporting roles in shaping consumer behavior. Additionally, economic incentives such as promotions often override ethical considerations in influencing consumer decisions. The study implies that strengthening ethical enforcement, enhancing platform supervision, and improving consumer digital literacy are essential to ensure a sustainable and trustworthy e-commerce ecosystem.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

This study aims to analyze the marketing strategy implemented by Catering Lapak Ning Icha to increase consumer purchase intention. The background of this research is the intense competition in the culinary MSME sector, particularly catering services, which demands effective and sustainable marketing strategies. A qualitative approach with a case study design was employed. Data were collected through in-depth interviews, observations, and documentation involving the business owner (represented by the operator), employees, and consumers. Data analysis was conducted using the Miles and Huberman model, consisting of data reduction, data display, and conclusion drawing. The findings reveal that the marketing strategy based on the 7P marketing mix (Product, Price, Place, Promotion, People, Process, and Physical Evidence) plays a significant role in increasing consumer purchase intention. In terms of product, the catering maintains taste quality, cleanliness, and menu variety. Pricing is set affordably and competitively. Easy location access and accurate ordering and distribution processes support the place and process aspects. Promotion is carried out organically through social media and word of mouth. Additionally, friendly and professional employee service, as well as physical evidence such as a clean business environment and neat packaging, contribute to positive consumer perceptions. The implications of this study suggest that consistent and integrated marketing strategies aligned with consumer needs can effectively enhance purchase intention and customer loyalty. This research serves as a reference for culinary MSME actors in designing effective and sustainable marketing strategies.

The phenomenon of growth in Indonesia’s beauty industry has intensified competition among both global and local skincare brands, including Avoskin. This situation impacts consumer trust Instagram. Avoskin must compete to build brand trust amid the higher exposure and engagement dominance of global brands on social media. Challenges such as the presence of negative reviews and unfavorable consumer perceptions that lead to dissatisfaction represent significant threats to Avoskin’s ability to sustain brand trust. This study aims to determine the influence of electronic word of mouth and brand image of @avoskinbeauty toward brand trust. The research adopts a quantitative approach using the simple random sampling method, involving 400 active Instagram users as respondents. Data were collected through Google Forms and analyzed using IBM SPSS Statistics 30.. The T - test results show that Avoskin’s electronic word of mouth on Instagram has a positive and significant effect on brand trust, with a tcount greater than the ttable value (8.335 > 1.965) and significance < 0.001 < 0.05. Similarly, Avoskin’s brand image also has a positive and significant impact on brand trust, with a tcount greater than the ttable value (22.462 > 1.965) and significance < 0.001 < 0.05. The F - test results indicate that electronic word of mouth and brand image simultaneously have a significant effect on brand trust, with an Fcount greater than the Ftable value (870.240 > 3.02) and significance < 0.001 < 0.05. In conclusion, electronic word of mouth and brand image play essential roles in enhancing brand trust. The implication of this study is that skincare companies should continuously strengthen their digital presence, consistently manage their brand image, and actively facilitate and respond to electronic word of mouth, especially on social media platforms.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

Intellectual property rights (IPR) are an important legal tool for trademark ownership, protecting business quality, and protecting a company's economic interests. Consumers build trust in trademarks because they signal distinct product quality and reflect a positive and consistent corporate image. Trademark protection is regulated by national law under Trademark Law No. 20 of 2016, which provides legal certainty for trademark owners. This law stipulates that a trademark is only valid if it has distinctive elements, is not imitative, and has been officially registered with an authorized institution. The "first come, first served" principle in Indonesian trademark law can be interpreted as a mechanism that grants rights to the first party to file a valid application. However, the application of this principle in practice often raises complex legal issues, particularly when a trademark has already gained widespread public recognition prior to its formal registration. This study focuses on evaluating this legal protection through a normative legal research method by examining applicable laws, regulations, and court decisions related to trademark disputes in Indonesia. The Geprek Bensu dispute has attracted public attention because it highlights the conflict between legal provisions regarding trademark ownership and public perception. This case demonstrates that the existing legal framework still requires further refinement to balance the interests of trademark registrants with those of parties who have built public reputation through prior commercial use. Therefore, legal reform and consistent law enforcement are essential to ensure fair and comprehensive trademark protection in Indonesia.

The rapid development of coffee shop businesses in Indonesia has intensified competition among business actors, requiring companies to implement effective marketing strategies to maintain customer loyalty and encourage repeat purchases. In this context, brand image and Electronic Word of Mouth (E-WOM) are considered important factors that influence consumer perceptions and purchasing behavior. A positive brand image can create favorable impressions in the minds of consumers, while Electronic Word of Mouth through digital platforms allows customers to share experiences and opinions about products or services with a wider audience. This study aims to analyze the effect of brand image and Electronic Word of Mouth on Repurchase Decision with Customer Satisfaction as an Intervening variable. The research was conducted on consumers of Ashbab Coffee who had previously purchased its products. This study uses a quantitative approach with a survey method. Data were collected through questionnaires distributed to respondents who met the research criteria. The collected data were then analyzed using statistical analysis techniques to determine the relationship between the variables studied. The results of the study indicate that brand image and Electronic Word of Mouth have a positive and significant influence on Customer Satisfaction and Repurchase Decision. In addition, Customer Satisfaction also acts as a mediating variable that strengthens the relationship between brand image, Electronic Word of Mouth, and Repurchase Decision. These findings suggest that maintaining a positive brand image and encouraging positive Electronic Word of Mouth can increase Customer Satisfaction and encourage consumers to make repeat purchases.

This research is motivated by the increasing use of TikTok Shop as a social commerce platform that makes it easier for consumers to make purchases through interactive features and various price promotion strategies. This study aims to analyze the influence of ease of use and price perception on purchase decisions on TikTok Shop. The population in this study is students of the Management Study Program of the University of Muhammadiyah Makassar class of 2022–2025, with a sample of 95 respondents determined using the Slovin technique. The analysis method used is multiple linear regression supported by validity, reliability, and classical assumption tests. The results of the study show that ease of use and partial price perception have a positive and significant influence on purchase decisions on TikTok Shop. High ease of use can increase consumer convenience in transactions, while good price perception encourages consumers to make purchase decisions. The implications of this study show the importance of improving the quality of the system and pricing strategies in supporting consumer purchase decisions on social commerce platforms

The architecture of consumer decision-making has completely changed due to the quick development of recommendation systems based on artificial intelligence (AI). The majority of earlier studies saw algorithms as instruments for forecasting and maximizing preexisting preferences. This study, however, makes a different claim: algorithmic curation actively shapes preferences rather than just reflecting them. This study creates and evaluates a structural model that examines the impact of algorithmic curation intensity on perceived search autonomy, identity resonance, affective evaluation, and the development of initial preferences. The model is based on identity-based consumption theory and the literature on human-AI interaction. The study's findings, which are based on survey data from Generation Z consumers and Structural Equation Modeling (SEM) analysis, demonstrate a contradictory dynamic: algorithmic curation improves identity resonance and directly influences initial preferences while simultaneously decreasing feelings of autonomy. The primary mediating mechanism that links algorithmic exposure to emotional assessment and preference creation is identified as identity resonance. In addition to introducing the concept of algorithmic consumer formation as a new conceptual framework for comprehending consumer behavior in the AI-based digital era, our findings expand the notion of bounded rationality toward algorithmically bounded agency.

Along with the rapid growth of digital media, various forms of digital transactions have also developed.1 This development has driven changes in the payment system in Indonesia, one of which is through the implementation of QRIS (Quick Response Code Indonesian Standard). Despite its increasingly widespread use, there are still few studies that systematically examine user perceptions and the effectiveness of QRIS in improving transaction efficiency and strengthening the digital financial system. The purpose of this study is to identify and comprehensively analyze the results of previous studies related to QRIS use through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar and Garuda using the keywords "QRIS use", "QRIS payment system", and "QRIS transaction tool". The results show that QRIS can improve the efficiency and convenience of digital transactions, both for consumers and businesses, and facilitate the integration of financial services in a single platform. This study also aims to analyze the use of QRIS in public services. Using a descriptive qualitative research method, research data was taken from the results of searches of reliable sources including official websites, academic literature, theses, and national scientific journals relevant to the research topic. Thus, this may indicate that the success of QRIS is influenced by effective socialization, public awareness of transaction security, and equitable access to technology. The implications of this research provide a useful literature map for policy development and further studies in the field of digital finance.

Cine Crib is a YouTube channel that routinely reviews both international and Indonesian films, with a primary focus on Indonesian cinema. The review content, presented in a relaxed, informative, and entertaining manner, possesses significant potential to influence audience decisions to watch films in cinemas. In the digital era, social media platforms, including YouTube, have emerged as primary information sources that play a vital role in shaping consumer perceptions, preferences, and behaviors concerning movie-watching interest, particularly in theaters. This study aims to determine the influence and the magnitude of the impact of review content on the Cine Crib YouTube channel toward the interest in watching films in cinemas. The research employs a quantitative approach utilizing a survey method. Data were collected by distributing questionnaires to 100 respondents consisting of Cine Crib channel subscribers. Data analysis includes validity and reliability tests, simple linear regression, t-tests, F-tests, and the calculation of the coefficient of determination ($R^2$). Research findings indicate that film review content on YouTube has a positive and significant influence on the interest in watching films in cinemas, albeit with a weak correlation. Variations in watching interest are influenced by film review content, while the remaining factors are influenced by variables outside the scope of this study. Consequently, the Cine Crib channel represents an effective strategy for increasing interest in cinema-going.

In response to the evolving landscape of public healthcare services, hospitals are expected not only to maintain operational efficiency but also to adapt to the shifting needs and expectations of patients as healthcare consumers. The presence of non-BPJS patients in regional public hospitals plays a strategic role not only contributing to revenue diversification but also reflecting service quality, institutional competitiveness, and shaping public perception. The declining trend in outpatient visits by general patients at RSUD Balaraja over the past three years highlights the need to understand the factors influencing consumer behavior in determining revisit intentions. This study examines the effect of co-creation and hospital image on the revisit intention of outpatient general patients at RSUD Balaraja, with patient experience as a mediating variable. The research employed a quantitative explanatory design involving 278 outpatient general patients selected through purposive sampling. Data were collected via structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that patient experience plays a significant mediating role in shaping revisit intention among general outpatients at RSUD Balaraja. These findings confirm that patient experience serves as a central factor in post-service evaluation processes, which ultimately drive patients’ intention to return. Therefore, hospitals need to enhance patient involvement in service processes (co-creation), improve public perception of institutional image (hospital image), and develop patient-centered service systems as a key strategy to increase revisit intention among general outpatients.

This study aims to determine the influence of Product Quality, Price Perception, and Brand Image on Purchase Decisions in Shopee application users in South Jakarta. The population in this study is Shopee application users in South Jakarta who have made purchases in the last six months. The research sample was determined using the Non Probability Sampling method with the Lemeshow formula and obtained as many as 96 respondents who were considered to represent the characteristics of the population. Data was collected through a questionnaire with a Likert scale distributed through Google Form, then processed using Microsoft Excel 365 and SPSS software version 29 for descriptive analysis and hypothesis testing. The analysis techniques used included validity tests, reliability, classical assumption tests, multiple linear regression analysis, as well as t-tests and F-tests. The results showed that Product Quality, Price Perception, and Brand Image had a significant effect on Purchase Decisions in Shopee application users, both partially and simultaneously, which indicates the importance of marketing strategies based on product and brand values in improving consumer purchase decisions.