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The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

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.

The development of digital technology has transformed trading patterns through the emergence of live shopping, a phenomenon that enables real-time interaction between sellers and consumers. Although it offers marketing efficiency, this model poses significant legal risks, including misleading information, promotional manipulation, and product non-conformity. This study aims to analyze legal certainty in consumer protection within live shopping transactions, examine the forms of business actors’ liability for consumer losses, and identify obstacles to regulatory implementation along with efforts to strengthen supervision.The research method employed is normative legal research using both a statute approach and a conceptual approach. The results indicate that legal certainty in consumer protection within this ecosystem is grounded in the integration of Law No. 8 of 1999 (Consumer Protection Law) as the lex generalis and Government Regulation No. 80 of 2019 (Electronic Commerce/PMSE) as the lex specialis, which recognizes the validity of real-time electronic contracts. The legal liability of business actors is strict liability in nature, in accordance with Article 19 of the Consumer Protection Law, and may also be construed as a tort (Article 1365 of the Civil Code) in cases involving distortion of visual information.However, the effectiveness of these regulations is hindered by the ephemeral nature of transactions and low levels of digital literacy. This study recommends the implementation of technology-based supervisory systems (suptech), strengthening the oversight function of platforms (PPMSE), and policy synchronization between the Ministry of Trade and the Ministry of Communication and Informatics in standardizing business actor verification to ensure the security of the digital commerce ecosystem.

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.

The development of digital platforms such as TikTok has encouraged the emergence of affiliate-based marketing practices in e-commerce activities. Affiliate marketing is a digital marketing system that promotes another person's product or service through a special affiliate link and earns a commission if a purchase or transaction is made through that affiliate link. Product promotion content has become one of the most effective marketing methods in the digital world. However, in practice, there are cases where affiliates reuse video content belonging to creators for promotional purposes and to earn sales commissions without permission. This study aims to analyze the provisions of digital video copyright protection under Law Number 28 of 2014 concerning Copyright and to examine forms of copyright infringement in the use of TikTok videos by affiliates. The method used is a normative study, employing a legal approach, a conceptual approach, and factual analysis. Primary and secondary legal materials were used in this study, which was analyzed descriptively and qualitatively. The results of the study show that TikTok videos fall under the category of cinematographic works that are protected as stipulated in Article 40 paragraph (1) letter m of the Copyright Law. Copyright protection arises automatically based on the declarative principle since the creation is realized in a tangible form, covering moral and economic rights. The use of TikTok videos by affiliates for promotional purposes and to earn sales commissions constitutes commercial use which, if done without the creator's permission, violates the creator's economic rights as stipulated in Article 9 paragraph (3) and potentially violates moral rights under Article 5 of the Copyright Law.

This study is motivated by the importance of information literacy among students in using the Shopee e-commerce platform. The purpose of this study is to determine the level of information literacy of 2022 cohort students at the Faculty of Languages and Arts, Padang State University, in using the platform e-commerce Shopee. This research employs a quantitative approach with a descriptive method. The population in this study consists of all 2022 cohort students of the Faculty of Languages and Arts, Padang State University, totaling 1,208 students, with a sample of 92 respondents selected using a simple random sampling technique based on the Slovin formula. Data collection in this study was conducted using a questionnaire developed based on the The Seven Faces of Information Literacy model, which was distributed online via WhatsApp in the form of Google Forms and directly through QR codes.Based on the confidence interval calculation, the average level of students’ information literacy falls within the range of 3.05 < μ < 3.27, indicating that the information literacy level of 2022 cohort students in using the platform e-commerce Shopee at the Faculty of Languages and Arts, Padang State University, is categorized as high. In general, it can be concluded that students have a good level of information literacy, particularly in aspects of information technology use, utilization of information sources, information searching processes, information control, knowledge construction, knowledge development, and wisdom in using information on the Shopee e-commerce platform.

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 the implementation of digital marketing in increasing sales of small and medium enterprises (SMEs) in the bedding equipment sector on online platforms. The background of this research is driven by the high level of competition in marketplaces and the need for business actors to optimize digital marketing strategies to remain competitive. The research method used is Participatory Action Research (PAR), combined with SWOT analysis to identify business conditions comprehensively. Data collection techniques were carried out through direct observation of production and marketing activities. The results show that the implementation of digital marketing through marketplaces and social commerce can expand market reach, increase sales volume, and enhance the business actor’s understanding of managing online marketing strategies. In addition, product content optimization, the use of promotional features, and customer service play an important role in increasing consumer trust and purchase decisions. However, challenges such as high advertising costs and frequent changes in platform policies were also identified. Overall, this study concludes that well-planned and efficient digital marketing strategies can improve competitiveness, profitability, and business sustainability of SMEs in the digital era.

This study was conducted to systematically explore the influence of the level of ease of transactions and the quality of e-commerce services on the process of determining consumer purchasing decisions in Batam City. The research framework was built with a descriptive-oriented quantitative approach through the involvement of 100 respondents who actively utilize digital transaction services, which were determined using a purposive sampling technique based on the Lemeshow formulation to ensure the adequacy and representativeness of the sample. Empirical data were collected through a structured questionnaire and then processed using statistical analysis stages that included testing the validity and reliability of the instrument, evaluation of classical assumptions, multiple linear regression modeling, and verification of hypotheses through t-tests and F-tests. The results of data processing revealed that the variable of ease of transactions contributed 18.8% to purchasing decisions, while service quality contributed an influence of 63.5%. The coefficient of determination (R²) reaching 73.3% indicates that both independent variables simultaneously have substantial explanatory power towards variations in consumer purchasing behavior. Both partial and simultaneous testing confirmed a significant influence, thus confirming that simplifying transaction mechanisms and strengthening digital service quality are strategic determinants in driving e-commerce consumer purchasing decisions in Batam City.

This study aims to elaborate on the determinants of consumer purchasing decisions by emphasizing the role of social media, trust levels, and product quality in the Blibli e-commerce ecosystem in Batam City. The applied methodological framework is based on a descriptive quantitative approach involving 204 respondents with active transaction track records, selected through a purposive sampling technique based on the Jacob Cohen formula to ensure proportionality and validity of sample representation. Empirical data were collected through a structured questionnaire, then processed using comprehensive statistical analysis stages that include instrument validity and reliability testing, classical assumption evaluation, multiple linear regression modeling, and hypothesis testing through partial (t) and simultaneous (F) tests. The analysis results revealed that social media intensity contributed 14.1% to purchasing decisions, trust influenced 36.0%, while product quality influenced 40.4%. The coefficient of determination (R²) value of 86.4% indicates that the three exogenous variables simultaneously have substantial explanatory power towards variations in purchasing decisions. The t-test and F-test findings consistently confirm the significant influence of both individual and collective factors, thus confirming that strengthening digital presence, platform credibility, and consistent product quality are strategic foundations in guiding the preferences and purchasing intentions of Blibli consumers in Batam City.

This study aims to examine the influence of advertising appeal, influencer marketing, and online customer reviews on purchasing decisions in Tokopedia’s e-commerce platform. The research applied a quantitative method using survey questionnaires distributed to 109 Tokopedia users in Jakarta. Data were analyzed using path analysis with SmartPLS. The results indicate that advertising appeal and influencer marketing significantly and positively affect purchasing decisions, while online customer reviews show no significant impact. These findings suggest that Tokopedia consumers, particularly in electronic products, are more influenced by attractive advertising and influencer endorsements than by online reviews. The study is limited by its sample size, geographic scope, and product focus on electronics. Future research is recommended to expand respondents and product categories for broader insights.