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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.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This study is motivated by the dynamic changes in digital consumer behavior in e-commerce, particularly in the purchase of electronic products through the Tokopedia platform. The study aims to analyze and synthesize the influence of online reviews and product ratings on purchase decisions using a systematic literature review approach. The method involves a comprehensive examination of global and local scientific literature, with a focus on peer-reviewed journals and empirical studies published between 2021 and 2026. The findings indicate that online reviews and product ratings are capable of reducing consumer uncertainty as well as the functional risks associated with electronic products. Empirical evidence over the past decade suggests that high ratings can build initial confidence in brand quality, while detailed reviews provide crucial technical validation for potential buyers. Overall, these two indicators work synergistically to strengthen consumer trust and serve as key determinants in the final stage of the purchasing decision. The implications suggest that e-commerce platforms and sellers need to prioritize the management of user-generated content and maintain transparency in reputation to remain competitive in a market increasingly reliant on the credibility of online information.

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.

This study aims to understand the role of E-Commerce in building customer loyalty, explain the process of loyalty formation, and assess how customers perceive service quality in relation to loyalty, using the GoFood service in Jombang as a case study. The rapid growth of online food delivery services has intensified competition, making customer loyalty a critical factor for sustainability. Employing a qualitative case study approach, data were collected through in-depth interviews with 30 GoFood customers and several drivers in the Jombang area. The findings reveal that E-Commerce platforms significantly enhance loyalty through user-friendly application interfaces, supporting features (such as live tracking, history, and digital payments), and beneficial promotions. The loyalty formation process occurs gradually through consistent positive experiences, moving from customer satisfaction to trust, and ultimately to habitual use. Crucially, the quality of driver services—including politeness, effective communication, punctuality, and order accuracy—emerged as a key determinant of customer comfort and repeat orders. This study implies that for E-Commerce platforms to maintain a competitive edge, strategies must integrate digital convenience with consistently reliable human interactions. The research contributes empirical insights from a semi-urban Indonesian context, highlighting that customer loyalty is not merely transactional but is built on a combination of technological ease, economic value, and positive interpersonal service experiences.

In the digital era, e-commerce has developed not only as a platform for buying and selling activities but also as a strategic medium for marketing and business development. University students theoretically possess strong potential to become edupreneurs because they are closely connected to technology and supported by higher education environments. Nevertheless, the reality at Al-Amien Prenduan University indicates that students tend to act more as consumers in e-commerce rather than as entrepreneurs. This condition creates a gap between theoretical expectations and practical implementation, raising questions regarding the effectiveness of e-commerce in encouraging students’ entrepreneurial spirit. This study examines strategies for strengthening Edupreneurship graduates through the optimization of e-commerce. The research specifically explores ways to maximize e-commerce in supporting the development of Edupreneurship graduate profiles and improving graduates’ competitiveness in entrepreneurship and employment sectors. A qualitative approach with a case study method was employed at Al-Amien Prenduan University. Data were collected through observation, interviews, and documentation involving female students of the Islamic Education Edupreneurship program who actively engage in entrepreneurial activities through e-commerce platforms. The findings reveal that optimizing e-commerce can be achieved through identifying students’ digital competencies and needs, as well as utilizing flexible technologies that support broader market access and global transactions. In addition, strategies such as enhancing digital marketing creativity, strengthening market research capabilities, and understanding consumer behavior significantly contribute to entrepreneurial development. The study concludes that e-commerce effectively fosters entrepreneurial attitudes, adaptability, and competitiveness among students in facing the challenges of the digital economy.

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.

The rapid growth of e-commerce and social commerce in Indonesia has shifted consumer behavior in seeking information prior to making purchase decisions, particularly through electronic word of mouth (e-WOM). This phenomenon poses a challenge for local fashion brands such as Hamata Studios, which has relatively low digital visibility despite having favorable product ratings. This study aims to analyze the effect of e-WOM on purchase intention with brand trust as a mediating variable based on the Stimulus-Organism-Response (S-O-R) theory. This research employs a quantitative approach with an associative research design. Data were collected through questionnaires distributed to respondents who are familiar with or have interacted with Hamata Studios, using a non-probability sampling technique with a purposive sampling method. Data analysis techniques include descriptive and inferential statistical analysis using path analysis, as well as mediation testing using the Sobel test and Variance Accounted For (VAF). The results indicate that e-WOM has a positive and significant effect on both purchase intention and brand trust. Furthermore, brand trust has a positive and significant effect on purchase intention. Mediation testing reveals that brand trust significantly mediates the relationship between e-WOM and purchase intention. In conclusion, positive e-WOM can enhance brand trust, which in turn increases consumers’ purchase intention.

The advancement of digital technology has encouraged e-commerce platforms to adopt interactive features such as Virtual Try-On to enhance a more visual and personalized shopping experience. This feature allows consumers to virtually try products, thereby assisting in product evaluation prior to purchase decisions. This study aims to analyze the effect of experiential value on customer engagement behavior, with customer satisfaction as a mediating variable. The research employs a quantitative approach through a survey of 150 respondents in Indonesia who have used Virtual Try-On, using a purposive sampling technique. Data were collected through questionnaires and analyzed using Partial Least Squares (PLS). The results indicate that experiential value has a positive and significant effect on both customer satisfaction and customer engagement behavior. Furthermore, customer satisfaction also has a positive effect on customer engagement behavior and partially mediates the relationship between experiential value and customer engagement behavior. These findings suggest that valuable technology-driven experiences can enhance customer satisfaction and encourage more active consumer engagement. This study contributes theoretically to the literature on digital consumer behavior and offers practical implications for e-commerce platforms in optimizing Virtual Try-On features.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

This study aims to analyze e-commerce strategies in selecting applicable law and jurisdiction to avoid conflicts of jurisdiction in cross-border transactions. This study employs a normative legal method using legislative, conceptual, and comparative approaches to analyze the selection of applicable law and jurisdiction in cross-border e-commerce transactions. The data used consists of primary and secondary legal materials collected through a literature review. The analysis was conducted qualitatively using descriptive-analytical and legal interpretation methods, as well as deductive reasoning to formulate strategies for minimizing jurisdictional conflicts. The research findings indicate that the application of the principle of freedom of contract, combined with international instruments and digital technology, can serve as an effective strategy for e-commerce actors to minimize jurisdictional conflicts and litigation risks. This strategy not only provides legal protection, particularly for SMEs, but also enhances the trust of global partners and competitiveness in the international market through the use of clear contract clauses, hybrid forums, and technological support such as blockchain and ODR.

Advances in information technology have brought significant changes to how Micro, Small, and Medium Enterprises (MSMEs) conduct their business operations, particularly in the areas of marketing and sales. However, Stretto Pizza MSME still relies on manual processes for ordering and transaction recording, which results in limited marketing reach, suboptimal data management, and an increased risk of errors in recording. This study aims to develop a web-based e-commerce information system that can integrate sales processes and data management more effectively. System development was conducted using the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language with MySQL database support. System testing was performed using the Black-Box Testing method to ensure that every feature functions according to user needs. The research results show that the designed system is capable of supporting product ordering processes, customer data management, sales transactions, and report generation more efficiently. With this system, it is hoped that the Stretto Piza SME can improve its operations while expanding its marketing reach through the use of digital technology.

This study aims to analyze innovative strategies that can be implemented by Micro, Small, and Medium Enterprises (MSMEs) in East Java to improve competitiveness through digital marketing and e-commerce. This study uses a descriptive qualitative approach with a library research method by reviewing various scientific literature, government reports, and previous studies related to MSME innovation and digital transformation. The results of the study indicate that digital marketing and e-commerce innovation can increase market reach, operational efficiency, product differentiation, and MSME sales. However, the implementation of innovation still faces several challenges such as low digital literacy, limited capital, limited technology, and lack of system integration. Therefore, innovative strategies are needed, including integrated digital marketing, marketplace optimization, social commerce, digital payment systems, logistics integration, digital branding strengthening, and digital literacy training. In addition, collaboration between MSMEs, government, universities, communities, and digital platforms is an important factor in accelerating MSME digital transformation. This study produces recommendations for an innovative strategy model based on digital marketing and e-commerce to improve the competitiveness and sustainability of MSMEs in East Java.

The development of digital technology has significantly transformed consumer purchasing behavior in recent years. Shopping activities that were previously conducted in person have now shifted to e-commerce and social commerce platforms that offer greater convenience, speed, accessibility, and a variety of attractive promotions. Two platforms experiencing rapid growth in Indonesia are Shopee and TikTok Shop, both of which have gained popularity among diverse consumer segments. These platforms not only offer a wide range of products but also provide interactive shopping experiences through features such as promotions, live shopping, consumer reviews, personalized recommendations, and ease of transactions. This situation has led to notable changes in consumers' purchasing decision-making processes and preferences. Factors such as app usability, promotional strategies, consumer trust, social media influence, user engagement, and evolving digital lifestyles are becoming increasingly dominant in determining purchasing decisions. Therefore, this study aims to analyze the key factors influencing consumer purchasing decisions on the Shopee and TikTok Shop platforms in the digital era, as well as to provide deeper insights into consumer behavior in an increasingly digital marketplace.

This study seeks to examine the impact of Social Media Marketing and Affiliate Marketing on Purchase Intent on the Shopee platform in Medan City. The research employed a quantitative methodology via a survey of 384 Shopee user respondents. We used Partial Least Square Structural Equation Modeling (SEM-PLS) to analyze the data. The findings indicated that Social Media Marketing exerts a positive and significant influence on Willingness to Buy, evidenced by a coefficient value of 0.104 (T-statistic = 2.987; P-value = 0.003). Affiliate Marketing likewise has a positive and substantial effect on Willingness to Buy, with a coefficient value of 0.284 (T-statistic = 5.947; P-value = 0.000). The study's findings suggest that management of e-commerce platforms like Shopee should make the most of social media to reach more people and get more people involved. Also, working with the correct affiliate partners can make product suggestions stronger and bring in more customers, which can lead to a big increase in sales conversions.

TikTok Shop is a popular application that offers online shopping and interaction experiences for consumers. Marketers at TikTok Shop use various methods to encourage consumer decisions to make purchases. This study aims to determine the effect of celebrity endorsers, online customer reviews, and viral marketing on purchasing decisions for TikTok Shop e-commerce products. This study uses a quantitative method with a survey approach by providing questionnaires to respondents. The population studied was all people in Semarang City who have the TikTok Shop application and have purchased products through the application. A sample of 112 people was taken using the convenience sampling technique. Data were obtained through questionnaires and analyzed using multiple linear regression analysis, F test, R2 test, and t test. The results of the study indicate that celebrity endorsements have a positive and significant effect on consumer purchasing decisions for Tiktok Shop users in Semarang City. The increasing use of celebrity endorsements will encourage consumer decisions to buy. Online customer reviews have a positive and significant effect on consumer purchasing decisions for Tiktok Shop users in Semarang City. The more positive online customer reviews, the more it will encourage consumer decisions to buy. Viral marketing has a positive and significant effect on consumer purchasing decisions for Tiktok Shop users in Semarang City. The increasing use of viral marketing will encourage consumer decisions to buy.  

The tempe chip industry in Sanan Village, Malang City, represents a culturally embedded small and medium enterprise (SME) cluster that has contributed to the local economy for decades. However, intensifying intra-cluster competition, soybean price volatility, and shifting consumer behavior have placed increasing pressure on the competitiveness of businesses in this area. This study aims to analyze the marketing strategy implemented by Keripik Tempe Dua Karunia — one of the pioneering enterprises in Sanan Village that has been operating since 1980 — and to identify the marketing strategy factors that contribute to enhancing its competitive advantage. A qualitative descriptive approach was employed through field observation, in-depth interviews with the business owner, and documentation analysis. The analysis is grounded in the 4P marketing mix framework — Product, Price, Place, and Promotion. The findings reveal that Dua Karunia builds its competitiveness through four strategic pillars: (1) product differentiation through multi-flavor diversification and consumer-driven customization; (2) cost-based pricing that is adaptively managed through shrinkflation tactics in response to raw material price fluctuations; (3) multi-channel distribution that integrates direct outlet sales with digital platforms (Shopee and WhatsApp); and (4) long-established word-of-mouth reputation-based promotion reinforced by active e-commerce presence. This study concludes that the consistent integration of all four marketing mix elements, supported by family-based operational flexibility and the cultural heritage value embedded in the product, constitutes the primary source of sustained competitive advantage for Dua Karunia amid increasingly intense cluster competition. These findings carry practical implications for similar SMEs seeking to design adaptive, competitiveness-oriented marketing strategies.

This study aims to analyze the impact of immersive commerce and augmented reality (AR) on consumer trust in e-commerce transactions using secondary industry data from the BrandXR 2025 Research on Augmented Reality in Retail & E-Commerce. Quantitative data was analyzed descriptively to evaluate the adoption rate of immersive technologies (immersive commerce and AR) and their relationship with consumer trust perceptions. The results show that immersive commerce, characterized by interactive and realistic user experiences, has a positive impact on consumer trust. Similarly, AR which offers realistic product visualization, has a significant impact on strengthening consumer trust in purchasing decisions. Simultaneously, the integration of immersive commerce and AR enhance the digital shopping experience, which can reduce risk perception and increase trust in online transactions. These findings empirically contribute to the literature on digital consumer behavior and e-commerce strategies, and suggest that businesses adopt immersive technologies to increase consumer trust and engagement in the online commerce ecosystem.

Micro, Small, and Medium Enterprises (MSMEs) face increasing pressure to adapt to digital transformation and e-commerce in order to enhance marketing performance; however, their implementation is often constrained by limited technological utilization and low levels of consumer trust. This study aims to analyze the role of consumer trust as a mediating variable in the relationship between digital transformation, e-commerce adoption, and the marketing performance of MSMEs. A quantitative approach was employed using a survey of MSME actors in Semarang City to collect data on technology usage, consumer trust levels, and marketing performance outcomes. The results indicate that digital transformation and e-commerce adoption have a positive effect on marketing performance, while consumer trust significantly strengthens this relationship as an intervening variable. The study concludes that the success of MSME digitalization is highly dependent on the ability to build consumer trust; therefore, digital marketing strategies should prioritize enhancing credibility and improving customer experience.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.