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The premium healthcare industry in urban areas is experiencing increasing competition along with the increase in healthcare facilities and the increasing public demand for fast, comfortable, and quality medical services. In this context, Columbia Asia Pulomas Hospital is implementing an expansion strategy by increasing facility capacity, modernizing services, and adding a Center of Excellence (COE) as a service differentiation. This study aims to analyze customer retention strategies within the Balanced Scorecard (BSC) framework, focusing on the relationship between customer perspectives, internal processes, learning and growth, and their application to the financial perspective. The research method uses a document-based policy and strategy analysis approach, field findings, and a synthesis of Balanced Scorecard theory and patient experience.The analysis shows that customer retention during the expansion phase is influenced not only by clinical quality, but also by the assurance of doctor time in practice, speed of service, physical comfort, and digitization of queues and administration. The addition of a COE has been shown to increase the perception of service value and expand market share through service specialist differentiation. Within the BSC framework, the customer perspective serves as a leading indicator for achieving the financial perspective, where increased patient retention contributes to increased revenue, ROI growth, and long-term financial expectations. The research implications emphasize that strategies for strengthening human resources, modernizing internal processes, and service innovation are important foundations in ensuring successful hospital expansion and enhancing competitive advantage.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This literature study aims to analyze the strategies of local cosmetic brands in providing product variants for different skin types, setting affordable prices for the teenage segment, and minimizing side effect risks to increase purchase intention among beginner users. The method used is qualitative library research with a thematic synthesis approach following systematic literature review procedures. The results indicate that complete product variants enable beginner users to find products suitable for their skin conditions, reducing confusion and increasing confidence. Affordable prices are crucial for the teenage segment with limited budgets, allowing them to try products without excessive financial burden. Minimizing side effect risks through safe formulations, dermatological testing, ingredient transparency, and usage education builds a sense of security essential for beginner users. These three strategies are interconnected and collectively create a foundation of trust that drives purchase intention. Beginner users who feel their needs are understood, products are affordable, and risks are minimal will be more motivated to purchase and have the potential to become long-term loyal customers. This study contributes theoretically to enriching cosmetic marketing literature with a teenage and beginner user segmentation perspective and practically provides foundations for local brands in designing products, pricing strategies, and safety communications targeting this segment.

This study examines the effects of word of mouth, peer influence, and promotion on exercise decisions at gymnasiums in Bandar Lampung City, with hedonic motivation as a mediating variable. Drawing on the Theory of Planned Behavior and consumer behavior perspectives, the research employed a quantitative causal-associative design. Data were collected through structured questionnaires from 100 active members of four gymnasiums and analyzed using Partial Least Squares - Structural Equation Modeling (PLS-SEM) with SmartPLS . The results indicate that word of mouth, peer influence, and promotion have positive and significant effects on hedonic motivation and on exercise decisions. Hedonic motivation also exerts a positive and significant effect on exercise decisions, suggesting that pleasurable and emotionally rewarding fitness experiences reinforce consumers' intention to engage in regular gym- based exercise. Mediation analysis further reveals that hedonic motivation significantly channels the effects of peer influence and promotion on exercise decisions, while the indirect effect of word of mouth is also significant, although its negative coefficient warrants careful interpretation. These findings demonstrate that exercise decisions are shaped not only by utilitarian health considerations but also by social influence, promotional exposure, and affective consumption experiences. The study provides practical insights for gym managers in designing service and marketing strategies that strengthen customer engagement and sustained participation.

This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is consumer hesitation in purchasing products online due to limited visualization that relies solely on product photos, causing fears about differences in shape, size, and quality of goods. The research results produced a conceptual framework that includes an integrated system architecture with a frontend layer (AR visualization engine), backend layer (product database and 3D asset management), and integration layer, as well as a systematic user flow design from the discovery to the decision phase. Based on simulations using literature data, the designed framework has the potential to increase customer engagement by up to 169%, conversion rates by up to 11 times, and reduce product return rates by up to 50%. The benefits of this research include digital dimensions through E-Commerce technology innovation, social dimensions by increasing consumer trust and reducing product fraud, and environmental dimensions through the potential reduction of product returns. This conceptual prototype provides a foundation for digital innovation, social trust building, and environmental sustainability through reduced product returns.

The increasing competition in the healthcare industry requires hospitals to establish effective relationship strategies to enhance patient loyalty. This study aims to examine the effect of Customer Relationship Management (CRM) on patient loyalty, with brand salience and customer engagement behavior (CEB) as mediating variables. The research adopts a quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 155 outpatients at Cengkareng General Hospital (RSAR) who had experienced CRM-related services, using a structured questionnaire measured on a four-point Likert scale. The findings reveal that CRM has a significant positive effect on brand salience, customer engagement behavior, and patient loyalty. Among these relationships, CRM demonstrates the strongest influence on customer engagement behavior, indicating that relationship-based strategies effectively encourage active patient involvement. Furthermore, customer engagement behavior significantly affects patient loyalty, suggesting that patients who are more engaged—through feedback, recommendations, and participation—are more likely to develop stronger loyalty toward healthcare providers. In contrast, brand salience does not have a significant effect on patient loyalty, indicating that brand awareness alone is insufficient to drive loyalty in the healthcare context. Mediation analysis shows that customer engagement behavior partially mediates the relationship between CRM and patient loyalty, whereas brand salience does not act as a mediator. These results suggest that CRM enhances patient loyalty not only directly but also indirectly through strengthening engagement behavior. This study contributes to healthcare marketing literature by integrating relationship marketing and customer engagement perspectives, highlighting engagement as a more critical mechanism than brand salience in fostering sustainable patient loyalty.

The Role digital marketing nowadays become part important in today's business strategies implemented by MSMEs, which is enable MSMEs to​​ reach the target market with more broad , measurable , and efficient in global value chain (GVC) context . Digital marketing strategies do not  can denied  involving various elements, including optimization machine search engine optimization (SEO), marketing through social media, digital advertising, marketing content ,and also email marketing. In buniess process of PT Bungas food Nusatra abalikpapan tahy have product a weadang dayang.  In facing such a market dynamic, marketing strategy must capable adapt with current digital trends including Fear of Missing Out (FOMO) approach to create greater urgency and involvement​ tall in a way contextual relation with the value chain that creates consumer new abroad or​ marketing across countries by them. In this case, on of the challege ib export product process. The methods of research here, is survey and looking some literature that related in this subject discussion and research, the conclusion is  the With utilise trend this company​ can increase visibility brand , strengthen interaction with customers  and encourage conversion sale in a way more effective and This strategy expected can give impact positive to growth business and power competition companies in the digital era in more fluently in global value chain (GVC).

This study examined the operational performance of CV Fortis Sportwear Indonesia (FSI) before implementing the Balanced Scorecard approach, identified the factors that hindered each Balanced Scorecard perspective, and analyzed the company's operational performance when measured using this approach.This study employed a descriptive quantitative method, aimed at providing a systematic, factual, and accurate overview of CV FSI's operational performance based on the Balanced Scorecard approach. Data were collected through interviews, questionnaires, observations, and literature review to obtain information related to the four main perspectives of the Balanced Scorecard: financial, customer, internal business processes, and learning and growth.After implementing the Balanced Scorecard, the performance evaluation of CV Fortis Sportswear Indonesia became more comprehensive compared to the previous system, which focused solely on financial aspects. The financial perspective showed improvement, but the customer aspect remained adequate, with declining retention and increasing complaints. Internal business processes still faced inefficiencies and quality issues, despite the introduction of new technology. The learning and growth perspective also improved through training, but employee satisfaction remained moderate. The Balanced Scorecard proved to provide a more comprehensive performance assessment and identified the need for improvements in customer, internal processes, and human resource development.

This qualitative inquiry examines the deliberate operational timing adopted by street vendors selling martabak, a popular Indonesian snack, exploring why nocturnal hours are strategically favored over daytime. The research methodology combined in-depth interviews with ten vendors operating in urban centers like Jakarta and Bandung with a consumer survey of one hundred respondents. Analysis of the collected data identifies a dual strategic foundation. From a demand perspective, night-time aligns with consumer psychology, fostering a leisurely atmosphere conducive to social snacking and impulsive purchases. On the supply side, vendors benefit from diminished direct competition, reduced operational overheads, and tapping into peak demand for evening treats. This synergy effectively cements martabak’s market identity as a beloved night-time culinary ritual linked to socialization. Consequently, the study posits that this chrono-marketing approach represents a savvy adaptation to local socio-economic rhythms. The insights derived provide a framework for micro-entrepreneurs to optimize service timing, aligning business operations with ingrained cultural consumption cycles to enhance sustainability and customer loyalty.  

Dropshipping is essentially a buying and selling process between a seller and a buyer using the internet. Dropshipping is a product sale that allows dropshippers to sell goods to customers using photos from suppliers or stores and then sell them to customers at a price determined by the dropshipper. The questions to be answered through this research are: a) How does the buying and selling process work using a dropship system? b) How does the buying and selling process work using a dropship system from a sharia economic perspective. The method used in this research includes descriptive research with a qualitative approach. The data used are primary and secondary data obtained from verses of the Qur'an and the Hadith, books and journals, articles, and mass media, both print and electronic, related to the focus of the problem being studied in this research. The data analysis technique used in this research is the Miles and Huberman analysis model, using data reduction, data presentation, and drawing conclusions. The results of the study indicate that the Samsarah contract is a solution to dropship transactions. The original law is permissible or permissible if carried out in accordance with Islamic provisions.

The rapidly changing and increasingly uncertain business environment presents significant challenges for micro, small, and medium enterprises (MSMEs), requiring them to adapt quickly and strategically to survive and remain competitive. This conceptual article examines the role of business models as an effective adaptation strategy for MSMEs in responding to dynamic market conditions, technological change, and shifting consumer preferences. Through a comprehensive review of various business model frameworks and dynamic capability theories, this study emphasizes that business models play a crucial role in shaping organizational flexibility and strategic responsiveness. The findings highlight that adaptable value propositions enable MSMEs to continuously align their offerings with evolving customer needs, while agile resource management allows firms to efficiently reconfigure internal and external resources. Furthermore, continuous business model innovation and renewal are identified as essential mechanisms for sustaining long-term resilience and competitiveness. The article argues that a business model should not be viewed merely as an operational or administrative tool, but rather as a core strategic mechanism that integrates strategic vision, organizational capabilities, and market orientation. By actively leveraging flexible and innovative business models, MSMEs can enhance their adaptive capacity, mitigate environmental uncertainty, and achieve sustainable competitive advantage in rapidly changing business environments.

This study aims to examine the influence of product innovation, digital marketing, and business networking on the competitiveness of small and medium-sized enterprises (SMEs), with customer engagement positioned as a mediating variable. Employing a Systematic Literature Review (SLR) approach, thirty Scopus-indexed articles published between 2020 and 2025 were analysed to synthesise theoretical and empirical insights related to SME competitiveness in contemporary digital and urban business environments. The findings indicate that product innovation, digital marketing, and business networking each play a significant role in strengthening SME competitiveness, particularly within markets characterised by rapid technological change. Customer engagement emerges as a critical mediating mechanism that connects these strategic variables to sustainable competitive advantage. It enhances the impact of innovative and digital strategies by fostering stronger emotional, behavioural, and participative interactions between SMEs and their customers. The review also highlights that SMEs adopting integrated digital management practices, such as the utilisation of human-resource information systems (HRIS) and data-driven decision-making tend to demonstrate greater adaptability, market responsiveness, and long-term performance. The study contributes theoretically by integrating resource-based and dynamic capability perspectives, offering a holistic understanding of how digital and relational capabilities interact to elevate competitiveness. Practically, the findings provide strategic guidance for policymakers, SME managers, and practitioners in designing innovation-oriented and digitally enabled initiatives that support sustainable SME growth in the digital era.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

The development of digital technology has greatly influenced consumer behavior, particularly among Generation Z, who are dominant in Indonesia's hijab fashion market. This shift requires businesses to adapt their strategies to meet the dynamic, trend-driven, and digitally-savvy preferences of young consumers. This study examines the business development strategy of Leenavie.id, a hijab brand, and the challenges it faces in targeting Generation Z. Using a qualitative approach with case study methodology, in-depth interviews with business owners were conducted to gain insights into the business development process. The findings show that Leenavie.id focuses on product innovation, competitive pricing, social media as a primary distribution and promotion channel, and leveraging e-WOM for brand awareness and emotional connections with consumers. Success indicators include a high repeat order rate, positive market response, and external collaboration offers. However, challenges such as limited capital, small production capacity, and underutilization of the marketplace hinder scalability. The study suggests that enhancing digital adaptation, strengthening operational capacity, and fostering strategic collaborations are key to improving the competitiveness and sustainability of local hijab businesses. Future research should include consumer perspectives for a more comprehensive understanding of customer behavior and loyalty.

The mentoring program was implemented to address issues related to the low practice of financial recordkeeping and the suboptimal utilization of digital marketing among Aisyah Laundry MSMEs in Dusun Gatak. The objective of this activity was to implement a simple financial recording system, build a basic understanding of the separation between personal and business finances, and introduce digital marketing strategies aimed at enhancing business management effectiveness. The methods employed included a participatory approach through initial condition observation, socialization of the benefits of recordkeeping, training in the use of simple bookkeeping formats, digital content training, and outcome evaluation. The results demonstrated a significant improvement in the regularity of daily transaction recording, administrative skills, and the establishment of a more systematic financial management pattern. In the marketing aspect, activation of the business’s Instagram account contributed to expanded service information outreach, increased customer interest, and a shift in the business owner's perspective regarding the importance of digital media. These findings affirm that hands-on mentoring is effective in improving financial and digital literacy among MSMEs and in encouraging sustainable changes in business behavior.

This study employs the Systematic Literature Review (SLR) method following the PRISMA 2020 Statement guidelines to identify the main models and indicators used in measuring the performance of Micro, Small, and Medium Enterprises (MSMEs). The literature selection process includes the stages of identification, screening, eligibility assessment, and inclusion, resulting in ten articles from reputable Q1 international journals. The analysis reveals that the most frequently used performance measurement models are integrated performance models such as the Balanced Scorecard, Performance Prism, and models based on resource capability, customer, internal process, and financial perspectives. Commonly used indicators include sales growth, profitability, market share, customer satisfaction, process flexibility, technology adoption, and business sustainability. The study concludes that although financial measures remain dominant, non-financial dimensions—such as digital capability, stakeholder engagement, and internal process effectiveness—are increasingly important for MSMEs operating in the context of global market dynamics and digital transformation. The implications of this study provide theoretical contributions to the development of MSME performance measurement frameworks and offer practical guidance for MSME managers in selecting indicators that align with the characteristics of small and medium-sized enterprises.

This study aims to examine customer segmentation through K-Means clustering from a customer data management perspective, emphasizing the interpretive value of analytical results rather than solely their computational outcomes. The research addresses a critical issue in contemporary data-driven organizations, where customer analytics is often reduced to technical modeling without sufficient translation into managerial insights. To respond to this gap, the study adopts a qualitative interpretive approach embedded within a quantitative clustering process, positioning clustering as part of a broader information management cycle. The empirical analysis is based on the Mall Customers Dataset obtained from Kaggle, consisting of 200 customer records with numerical attributes representing age, annual income, and spending score. Quantitative processing using K-Means clustering was employed to identify customer segments, while qualitative interpretation was applied to analyze the managerial meaning of each cluster. Data interpretation was supported by analytical documentation, visualization outputs, and reflective analysis of cluster characteristics. The findings reveal four distinct customer segments with different behavioral and economic profiles, each carrying specific strategic implications for customer relationship management and marketing decision-making. The study demonstrates that the primary value of clustering lies not merely in segment formation, but in its ability to transform raw customer data into actionable managerial knowledge. In conclusion, this research contributes to customer analytics literature by integrating data mining techniques with qualitative interpretation, offering a more human-centered and decision-oriented framework for customer data management. Future research is encouraged to extend this approach using organizational case studies or participatory decision-making contexts.

This study aims to analyze the practice of price determination in the buffet system without price labels at Café Santiniketan, Pondok Modern Darussalam Gontor, Campus 4 Banyuwangi, from the perspective of mashlahah mursalah and Islamic economic principles. The research employs a descriptive qualitative approach with data collection techniques including observation, in-depth interviews, Focus Group Discussions (FGD), and documentation. The data were analyzed using an interactive analysis model consisting of data reduction, data presentation, and conclusion drawing. The results indicate that Café Santiniketan has implemented the principles of fairness, honesty, and transparency in its transaction system. Payments are made before consumption to avoid elements of uncertainty (gharar), while pricing is based on the types of food selected and mutual consent (al-ridha). The buffet system provides flexibility for consumers to choose menu portions according to their needs. This practice aligns with the concept of mashlahah mursalah because it provides benefits for public interest and supports the economic independence of the pesantren community. However, challenges arise regarding the inconsistency between price and portion size, which has led to criticism from some customers. This condition highlights the need to improve price clarity to ensure compliance with the principle of fairness in Islamic economics. Overall, the implementation of the buying and selling system at Café Santiniketan has demonstrated good sharia-based economic practices, yet requires ongoing evaluation and development to ensure trust and customer satisfaction.

This study aims to analyze and compare the implementation of the rahn contract at Pegadaian Syariah and Bank Syariah from the perspectives of sharia compliance and customer satisfaction. Using a qualitative approach with in-depth interviews with 15 informants, consisting of institution management, sharia supervisors, and customers, the study found that Pegadaian Syariah excels in service aspects, cost transparency, and process convenience, resulting in higher customer satisfaction. On the other hand, Bank Syariah stands out in terms of internal supervision and collateral security, although its administrative process is more complex. Both institutions have adhered to sharia principles in accordance with DSN-MUI fatwas, but there are differences in the technical implementation and service strategies. This study highlights the importance of synergy between service efficiency and sharia compliance in managing rahn products, and contributes to the development of more inclusive and sustainable sharia pawn practices in Indonesia. The findings are expected to provide guidance for sharia financial institutions in improving service quality while maintaining sharia principles.

This research employs a qualitative approach to investigate how corporate brand image shapes the quality of maritime services, using a comprehensive stakeholder perspective within the Indonesian shipping industry. The study adopts PT. Multi Jaya Samudra’s TB. Maiden Central operations as its focal case, gathering insights from maritime professionals, academic experts, and industry practitioners to better understand the interconnection between brand perception and service delivery. Data were collected through semi-structured interviews with 65 participants, followed by a thematic analysis to identify emerging patterns. The results highlight that corporate brand image plays a substantial role in influencing how service quality is perceived, with a positive correlation of 79.8% found between brand strength and customer satisfaction. Key themes emerging from the analysis include the enhancement of professional trust, the incorporation of educational elements into industry practices, and the promotion of operational excellence. A robust and reputable brand is shown to provide shipping companies with a distinct competitive edge, while also aligning with broader objectives such as sustainable maritime growth and the adoption of digital innovation. Beyond practical business value, the research enriches the field of maritime business management by presenting a stakeholder-driven framework for brand development, offering opportunities for the integration of industry-relevant curricula in maritime vocational education, and promoting sustainable transportation practices. These findings yield actionable implications for Indonesian shipping enterprises that aim to strengthen brand positioning, improve service performance, and remain competitive in an increasingly dynamic and environmentally conscious maritime sector.