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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 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.

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.

The rapid development of digital technology has led to an increased adoption of digital payment methods in online transaction-based businesses. However, in practice, failures and limitations in the implementation of digital payment systems still occur, potentially disrupting transaction processes and reducing customer convenience. Payment related obstacles may result in transaction cancellations and increase the risk of customer churn. This study aims to analyze the impact of failures and limitations in digital payment methods on customer churn using a classification-based approach. The data used in this research are secondary e-commerce customer data obtained from the Kaggle platform, including transaction information, payment methods, customer behavior, and historical transaction records. The research methodology consists of data preprocessing, time-based feature engineering, and classification modeling using logistic regression, decision tree, and random forest algorithms. Model performance is evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the decision tree model demonstrates superior capability in identifying churn customers compared to the other models, although it does not always achieve the highest accuracy. In addition to digital payment methods, other factors such as purchase value, transaction frequency, purchase timing patterns, and product return rates also influence customer churn. The findings highlight the importance of optimizing digital payment systems as part of customer experience enhancement strategies and customer retention efforts in online transaction–based businesses.

This study aims to determine the influence of price, product quality, and service quality on customer satisfaction at Salon Natayu. The approach used was quantitative, with data collection techniques through questionnaires distributed to Salon Natayu customers, with a total of 53 respondents (using census techniques). The data were analyzed using multiple linear regression analysis with the help of SPSS version 20. The results of the study show that the three independent variables (price, product quality, and service quality) simultaneously have a positive effect on customer satisfaction. However, partially, the price variable has the most dominant influence on customer satisfaction. The conclusion of this study shows that price is the most influential factor on customer satisfaction, followed by service quality, while product quality has the least influence. These findings indicate that a competitive pricing strategy is a crucial aspect for Salon Natayu in maintaining and improving customer satisfaction. In addition, continuous improvement of service quality is also necessary to create a better customer experience. This research is expected to be a reference for salon managers in formulating more effective marketing strategies as well as for future research that examines the factors that affect customer satisfaction in the beauty services industry.

This study aims to analyze the influence of customer experience and perceived value on tourist satisfaction among users of the Sidoarjo City Tour Bus as a form of public tourism transportation service. The Sidoarjo City Tour Bus represents a regional government service innovation intended to support tourism development while improving urban tourism accessibility. This study employs a quantitative approach using a survey method involving tourists who used the Sidoarjo City Tour Bus. Data were collected through questionnaires distributed to 99 respondents and analyzed using multiple linear regression with the assistance of SPSS software. The results indicate that customer experience does not have a significant effect on tourist satisfaction, suggesting that the experiences perceived by users are still subjective and not consistently felt by all service users. In contrast, perceived value has a positive and significant effect on tourist satisfaction, making it the most dominant variable in influencing satisfaction among Sidoarjo City Tour Bus users. These findings indicate that tourist satisfaction is more strongly determined by perceptions of benefits, service quality, and the suitability between sacrifices made and benefits received rather than by emotional experience alone. Therefore, this study recommends that the management of the Sidoarjo City Tour Bus and the local government enhance service value through improvements in facilities, information systems and registration processes, as well as optimization of comfort and schedule certainty. These efforts are important to increase tourist satisfaction and to support sustainable tourism development in Sidoarjo Regency.

The study try to investigate what influences ATINY, followers of the South Korean idol group ATEEZ, about customer satisfaction and their decision to buy Nacific products. It investigates how brand ambassadors, fanaticism, Korean Wave, product quality, and buying decisions affect consumer pleasure. Through the use of questionnaires, 396 members of the ATINY fan group participated in the study. Structural Equation Modeling (SEM) was used in the study to analyze the data. The findings show that consumer happiness and purchasing decisions are influenced by product quality. Fanaticism, the Korean Wave, and brand ambassadors, however, had negligible effects on consumer happiness and purchase decisions. Additionally, it has been demonstrated that purchase decisions significantly and favorably affect consumer satisfaction. The study recommends that future studies examine the impact of social media and influencers on consumer behavior and take into account other factors like brand trust or customer experience. Additionally, studies using larger samples from different demographic groups can yield more broadly applicable findings.

The integration of Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems has emerged as a critical strategy for modern digital enterprises aiming to enhance customer experience and operational efficiency. This study examines the impact of CRM-ERP integration on customer satisfaction, personalized service, and organizational responsiveness. By adopting a mixed-methods approach, this research combines quantitative customer data analysis and qualitative managerial interviews to assess the benefits and challenges of CRM-ERP integration. Key findings highlight significant improvements in customer experience, with increased satisfaction and personalized interactions facilitated by a unified view of customer data. Operational efficiencies were also realized through streamlined processes, better alignment of departments, and enhanced decision-making based on real-time, data-driven insights. Despite these positive outcomes, challenges such as system integration complexities, data fragmentation, and resistance to change were identified, which hindered the speed of integration and full utilization of the systems. This study demonstrates that CRM-ERP integration provides a competitive advantage by improving both customer service and business agility, particularly in industries undergoing digital transformation. For digital enterprises, integrating these systems is crucial for maintaining a seamless customer experience across various touchpoints and achieving greater operational effectiveness. The paper concludes by suggesting future research on the long-term impact of CRM-ERP integration on customer loyalty, business growth, and the potential role of emerging technologies like AI and blockchain in further enhancing these systems.

This study aims to analyze the effect of customer experience and service quality on customer loyalty with customer satisfaction as a mediator. The sample in this research consists of 100 respondents who have visited Kopi Pirak. The data collection technique used is a survey method with a questionnaire as the research instrument. The instrument test results indicate that the statement items show that the convergent validity test meets the required criteria. The results of this study prove that: Customer Experience does not have a significant effect on Customer Loyalty, Service Quality has a positive and significant effect on Customer Loyalty, Customer Experience has a positive and significant effect on Customer Satisfaction, Service Quality has a positive and significant effect on Customer Satisfaction, Customer Satisfaction has a positive and significant effect on Customer Loyalty, Customer Satisfaction has a significant effect in mediating the relationship between Customer Experience and Customer Loyalty, Customer Satisfaction has a significant effect in mediating the relationship between Service Quality and Customer Loyalty. The findings of this study imply that future researchers should test the model using samples with a larger business scale to obtain more varied results. The findings of this study also imply that Kopi Pirak needs to improve customer experience in order to enhance customer loyalty.

Customer satisfaction has become a major focus in the development of modern services as the role of the service sector in the regional economy increases, including in the city of Balikpapan. However, the literature discussing customer satisfaction models shows conceptual and methodological fragmentation, requiring a systematic synthesis to identify theoretical patterns and current research developments. This study aims to map customer satisfaction models in the service industry through a Systematic Literature Review (SLR) approach using the PRISMA guidelines. A total of 20 articles selected from the last five years were analyzed to identify dominant constructs, methodological approaches, and relevant research trends. The review results show that customer satisfaction models have evolved from traditional service quality-based approaches to models that integrate customer experience, perceived value, trust, and digital dimensions such as personalization and AI-based services. The findings also emphasize the importance of local context, especially in the service sector in Balikpapan, where cultural factors, customer behavior, and the dynamics of city growth influence the structure of satisfaction models. Overall, this study provides a synthesis framework that can be used as a theoretical and practical foundation for designing service quality improvement strategies and developing a further research agenda in the service sector.

The effectiveness of a retail store layout plays a crucial role in supporting operational efficiency, service flow, and customer experience. Brother Parfume, a perfume refill retail store, currently applies a bar-service layout designed based on intuition and daily operational needs rather than systematic planning. This often results in inefficient movement patterns, limited space utilization, and suboptimal coordination among functional areas. This study aims to redesign the store layout by applying the Entity Relationship Chart (ERC) and Total Closeness Rating (TCR) methods to identify functional relationships and determine the ideal spatial arrangement. Data were collected through direct observation and semi-structured interviews with the store owner to understand the interaction between service areas, product displays, and storage sections. The ERC analysis shows that the service area, perfume display, and bottle display have the highest functional interdependence, while the storage area has the lowest necessity for proximity. TCR results confirm these findings, with the service area and perfume display each scoring 90, bottle display 21, and storage 3. Based on these results, two alternative layouts are proposed that integrate high-priority areas into a unified service zone and position storage separately to minimize unnecessary movement. The redesigned layout is expected to enhance service speed, optimize space utilization, support operational procedures, and strengthen the store’s servicescape. This research contributes practical insights into the application of ERC and TCR methods for small-scale retail operations, particularly in the perfume refill sector, where service efficiency and spatial constraints are critical.

This research aims to explore the role of service excellence in enhancing consumer loyalty in culinary MSMEs, with a case study at RM Kamang Jaya in Medan City. In facing intense competition in the food industry, excellent service becomes an important strategy to maintain and expand the customer base. A qualitative approach with a case study method was employed to deeply examine customer experiences, perceptions, and service practices through interviews, observations, and documentation. The findings show that the consistent application of service standards, friendly attitudes of staff, and attention to detail in service delivery greatly contribute to customer satisfaction and loyalty. Good service has been proven to encourage repeat orders, create positive experiences, and enhance word-of-mouth promotion. Despite some technical obstacles, such as order errors or menu limitations, the quick response and professional attitude of employees were able to minimize their impact. These findings confirm that service excellence not only meets the functional needs of consumers but also builds emotional attachment, which becomes the foundation of long-term loyalty. The implications of this research are significant for other MSME actors in designing superior service strategies to face increasingly complex business competition.

This research aims to throughly explore the differentiation strategy model implemented by the small-medium enterprise (SME) grocery store of  "Yussandi Komunika," in integrating digital transaction services such as prepaid credits, electricity tokens, and e-wallet top-ups, as an effort to create a competitive advantage. The background of the problem is driven by the highly competitive conditions in densely populated areas, where traditional grocery stores are compelled to transform in order to maintain their business relevance.Digital service innovation, presented through an adaptive and user-focused platform, has proven to be a core competency that is difficult to imitate and rare, simultaneously providing a sustainable competitive advantage. This innovation not only addresses the challenges of densely populated conditions but also establishes a new standard for efficiency and customer experience in a competitive market.The effective differentiation model for multi-service grocery stores in highly competitive areas is not solely based on price, but rather on a combination of services and the quality of interpersonal service. The store transforms into a "mini service point" offering one-stop shopping convenience for customers. The main differentiation strategies identified include: (1) Core Service Differentiation (offering comprehensive PPOB (Payment Point Online Banking) services and e-wallet balance availability), (2) Personnel Differentiation (quality of communication and speed of friendly service), and (3) Image Differentiation (creating a perception as a trustworthy and modern store).  

The rapid growth of Indonesia's tourism sector, especially in East Java, has increasingly created fierce competition between local culinary brands. Steamed coating product Surabaya, as one of the leading souvenirs, appears on a solid brand awerness representation with an authentic customer experience. This study empirically examines the influence of Brand Awareness and Customer Review on the Purchase Decision of Steamed Layer Products of Surabaya Heroes. A causal quantitative approach was applied by purposive sampling on 96 offline and online buyer respondents. Primary data was obtained through questionnaires, analyzed using multiple linear regression supported by validity, reliability, classical assumptions, and hypothesis tests. The results showed that there was a simultaneous positive influence of the two variables on the purchase decision (F = 92.484; Sig. = 0.000). Partially, Brand Awareness (t = 6.457; β = 0.485) was more dominant than Customer Reviews (t = 5.685; β = 0.427). Adjusted R² = 0.658 explains 65.8% of the variation in purchasing decisions, with the rest by other factors. These findings underscore the urgency of brand equity and digital management reviews to build consumer trust as well as competitive advantage.

Digitalization demands the MSME sector, including barbershops, to adopt technology in reservation management and marketing. Many barbershops still use manual systems, causing problems such as irregular queues, service delays, and suboptimal promotions. This study formulates how to design an information system that can integrate reservation and marketing functions into a single web-based platform. The objective is to produce an efficient, secure, and user-friendly information system design for both barbershop managers and customers. The method used is the Design Science Research approach with a waterfall system development model, involving needs analysis, system design, database design, and user interface design. The design results were validated by experts and users with a satisfaction rate of over 85%, indicating that the designed system aligns with the operational needs of barbershops. The conclusion is that the developed information system can enhance operational efficiency and customer experience, and is suitable for implementation in the barbershop service sector of SMEs.

This study aims to examine and explain the influence of customer experience, service quality, and promotion on the decision to use the OVO application among Uniska Kediri students. The research applied a probability sampling method using a saturated sample approach for an unknown population, calculated through the Hair formula, and obtained 114 respondents. The data were analyzed using several statistical tests, including validity, reliability, normality, multicollinearity, heteroscedasticity, linearity, and determination (R²), processed through SPSS version 25.The research findings show that the customer experience variable does not have a significant effect on the decision to use the OVO application, with a significance value of 0.380 > 0.05 and a t-count of 0.882 < t-table of 1.981. Similarly, the service quality variable also does not significantly affect the decision to use, with a significance value of 0.833 > 0.05 and a t-count of 0.211 < t-table of 1.981. In contrast, the promotion variable has a significant positive effect on the decision to use the OVO application, with a significance value of 0.001 < 0.05 and a t-count of 3.287 > t-table of 1.981. Simultaneously, customer experience, service quality, and promotion collectively have a significant influence, with a significance value of 0.000 < 0.05 and an F-count of 6.883 > F-table of 2.69. The R² value reflects the combined effect of these variables on user decisions.

The increasing participation in JKN in Denpasar has prompted BPJS Kesehatan to optimize the use of e-Dabu; however, the service continues to face persistent technical and usability challenges. Ongoing system issues, limited user proficiency, and unsatisfactory user experiences have reduced engagement with e-Dabu, highlighting the importance of understanding how the customer journey shapes positive emotions and customer passion through customer experience. This quantitative study employs validated measurement scales covering e-Dabu, customer journey, positive emotions, customer passion, and customer experience, with a sample of 190 business entity PICs at the BPJS Kesehatan Denpasar Branch. Data were analyzed using the SEM-PLS method, and the findings reveal that customer journey and positive emotions significantly influence customer experience. Additionally, positive emotions and customer experience significantly affect customer passion, while customer journey does not directly impact customer passion. The study concludes that enhancing customer journey, positive emotions, and customer experience is essential for increasing customer passion within BPJS Kesehatan Denpasar. These findings offer valuable theoretical and practical contributions to improving digital public service management.

Digital transformation has changed the way modern organizations measure their success, but traditional performance measurement models have not fully adapted to the needs of the digital age. This study conducted a systematic literature review of 25 high-quality publications from the Scopus, Web of Science, and Emerald Insight databases to identify models and indicators of organizational performance measurement in the digital era. Using the PRISMA 2020 framework and strict inclusion-exclusion protocols, this study analyzes research from the period 2021-2025 with a focus on the integration of the digital dimension in the performance measurement framework. Key findings identify 13 categories of key indicators that consistently appear in the literature, including financial performance, operational efficiency, innovation performance, digital transformation readiness, customer experience, and employee digital capability. The analysis of influence mechanisms found three ways in which digital transformation affects performance: direct effects, mediating effects through dynamic capability and organizational agility, and moderation effects from contextual and organizational cultural factors. The research proposes a three-level integrative framework (strategic, operational, and individual-cultural) that can be differentially adapted according to the size of the organization and the industry sector. The theoretical contribution of this research enriches the academic literature with a systematic synthesis of digital performance measurement, while practical contribution provides evidence-based guidance for organizations in designing a comprehensive performance measurement system that is responsive to the evolving dynamics of digital transformation.

This study aims to analyze the influence of service quality, café atmosphere, and trust on customer loyalty at Omah Petoeng Tulungagung. The research employed a quantitative approach with an associative design. The population consisted of customers who had made at least two purchases, with a sample of 112 respondents selected using purposive sampling. Data were collected through a five-point Likert scale questionnaire and analyzed using multiple linear regression with SPSS version 25. The results indicate that service quality, café atmosphere, and trust have a positive and significant effect, both partially and simultaneously, on customer loyalty. Among these variables, trust shows the most dominant influence on loyalty. The coefficient of determination (R²) of 0.540 indicates that 54% of customer loyalty variation is explained by the three independent variables. These findings highlight the importance of integrating quality service, pleasant café ambiance, and customer trust in fostering long-term loyalty. The study provides practical implications for local café managers to enhance competitiveness through trust-based service strategies and customer experience management.

Hospitals in DKI Jakarta continue to face service quality challenges, including long waiting times, fragmented information systems, and limited patient access to digital health technologies. Although digital transformation and digital literacy are expected to enhance service quality, the mediating role of patient experience remains insufficiently explored. This study investigates the effects of digital transformation and digital literacy on service quality, with patient experience as a mediating variable. A quantitative explanatory design was applied using data from 200 outpatients. Measurements were based on validated indicators of digital transformation, digital literacy, patient experience, and service quality. Structural Equation Modeling (SEM) with AMOS was employed for analysis. The findings show that digital transformation significantly improves patient experience and service quality. Digital literacy positively affects patient experience but does not directly influence service quality. Patient experience fully mediates the relationship between digital literacy and service quality and partially mediates the effect of digital transformation. These results highlight the critical role of patient experience in translating digital capabilities into perceived service improvements. Hospitals are encouraged to strengthen digital transformation initiatives, enhance digital literacy support—especially for older adults—and design user-friendly digital services that facilitate communication and access. This study integrates the Technology Acceptance Model and Customer Experience Theory to provide empirical evidence on how digital-based interventions can advance hospital service quality.