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The development of digital technology and internet penetration are driving changes in consumer behavior and demanding that MSMEs not only adapt but also understand the operational motives and marketing channel integration strategies to face competition in the digital era. This study aims to examine the operational motives and technical adaptation processes of Micro, Small, and Medium Enterprises (MSMEs) in Bali in integrating online and offline marketing channels through an omnichannel strategy to respond to intense market competition in the digital era. This descriptive qualitative research uses a multiple case study approach in three different MSME sectors: goods maintenance services, creative services, and fashion retail. Data collection was conducted through direct observation, in-depth interviews, and a review of digital activities, then analyzed through single-case and cross-case stages. The results show that MSMEs optimize digital channels as instruments to expand reach and trigger consumer emotional engagement through a visual storytelling approach, while physical stores are crucially maintained as points of sensory validation. Functional integration has been proven to accommodate the shift in consumer behavior towards a hybrid decision-making pattern. In this pattern, consumers conduct information searches and initial evaluations online, but tend to shift to offline interactions to validate quality and finalize transactions to minimize purchase risk. In conclusion, cross-channel operational synergy has proven essential in boosting the competitive advantage of MSMEs.

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 investigates the influence of drug availability, location, and service quality on consumer purchasing decisions at Toko Obat Zahwa Batam. The phenomenon underlying this research is a significant decline of 23.3% in transactions at Toko Obat Zahwa over three years (2022–2024). A quantitative approach with survey method was employed, involving 100 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression using IBM SPSS 26. The results indicate that drug availability has a positive and significant effect on purchasing decisions (t = 5.390; sig. = .000), service quality has a positive and significant effect (t = 4.700; sig. = .000), while location does not significantly influence purchasing decisions (t = –0.556; sig. = .579). Simultaneously, all three variables significantly affect purchasing decisions (F = 38.203; sig. = .000) and explain 53.0% of the variance (Adjusted R² = .530). The dominant influence of drug availability confirms the need-driven nature of pharmaceutical retail purchases, while the non-significant effect of location reflects habitual buying behavior among loyal consumers. These findings provide practical implications for independent drug store management in competitive markets.

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.

Transaction logs in online retail provide opportunities for data-driven customer segmentation. This study segments customers at two scopes global (all countries) and United Kingdom (UK) using Recency, Frequency, and Monetary (RFM) features derived from the Online Retail transaction dataset. After cleaning cancellations and invalid records, RFM variables are computed per customer and normalized. K-Means clustering is applied separately for global and UK data, while the number of clusters is selected via the elbow criterion and validated using internal indices. The best configuration for both scopes yields five clusters, with moderate separation quality based on the silhouette score. Cluster profiling indicates distinct groups ranging from low-frequency low-spending customers to highly frequent high-spending customers. The comparison between global and UK segmentation shows similar structural patterns, yet different proportions across segments, supporting targeted retention and value-driven marketing actions.

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

PT Telering Distrindo is a telecommunications distribution and retail company whose operations rely heavily on information systems. As the business expands and transaction volumes increase, higher demands for system security and reliability require a strategic evaluation of information technology (IT) implementation to ensure alignment with business objectives. This study aims to analyze the condition of the IT infrastructure at PT Telering Distrindo and to formulate development strategies using the Ward & Peppard framework. The research methods include literature review, system observation, IT architecture analysis, and interviews with internal stakeholders. The results show that the company has implemented core systems such as aPOSPlus, aBusinessPlus, and the PPOB TR Reload application, which play an important role in supporting business operations. However, several weaknesses remain in system security, integration, and IT risk management. The SWOT analysis identifies strengths in access control and authentication mechanisms, opportunities to leverage security as a competitive advantage, and threats from cyberattacks and high dependency on IT infrastructure. The study concludes that the Ward & Peppard framework provides a comprehensive strategic perspective and serves as a foundation for developing a more structured, secure, and sustainable IT strategy to support business growth.

The use of Information Systems and Information Technology (IS/IT) is a crucial factor in improving the efficiency and accuracy of retail sector operations. PT XYZ, a retail-level staple goods provider, has implemented IS/IT to support sales recording, inventory management, security, and operational reporting. This study aims to assess the effectiveness, efficiency, security, and compliance of the information system used. The audit was conducted through observation, interviews, document review, and system testing, referring to the COBIT framework and the ISO/IEC 27001 standard. The audit results indicated that the system supported core operational functions, but weaknesses remained, including insufficient system documentation, limited access controls, and suboptimal data security and backup mechanisms. Furthermore, reliance on manual procedures has the potential to lead to errors and slow down service delivery. Therefore, system improvements, strengthening security controls, developing standard operating procedures, and enhancing the competency of human resources and IT infrastructure are needed. This audit is expected to support improved service quality and secure, effective, and sustainable IT governance at PT XYZ.

Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product graph using an inverse-support function, and an MST is then extracted to represent the market backbone, while frequent itemsets and strong rules are obtained using Apriori. Experimental results on 236 multi-item transactions show that the MST backbone comprises 10 products and 9 fundamental links, with 66.67% of these links being confirmed by strong association rules, indicating a substantial coherence between statistical and structural evidence. The proposed model identifies 41 Apriori patterns that can be embedded in the MST and ranks them using a new metric, Structural Distance, which enables the categorization of Core Patterns, Bridge Patterns, and Complex Patterns according to their structural tightness. This hybrid perspective distinguishes dense, strategically meaningful bundles from anomalous but frequent combinations that are structurally peripheral, thereby offering a more holistic and actionable alternative to conventional Market Basket Analysis. The validated framework can support various applications, including store layout optimization, cross-selling strategies, and the design of path-based recommender systems, and it opens avenues for future extensions based on dynamic graphs and Graph Neural Networks.

This paper analyzing how reshaping the future of global trade, explore the transition from traditional online retail models toward sustainable e-commerce ecosystems. By examining the integration of circular economy principles, green logistics, and ethical supply chain manajement, the study identifies the core drivers behind this transformation

In the investment world, stock returns are the leading indicator of a company’s performance and the basis for investor decision-making in the capital market. Fluctuations in stock returns reflect market expectations of the company’s prospects. The retail sector in Indonesia is facing significant pressure from post-pandemic shifts in consumer behavior and increased competition. This study aims to analyze the effect of financial distress, company size, liquidity, operating cash flow, and accounting profit on stock returns in retail sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2021 to 2023. This type of research is causally associated with a quantitative approach. The data used is secondary, in the form of financial statements from retail companies. The sampling technique used was purposive, yielding a total of 39 data points from 13 retail companies. Data testing was carried out using SPSS version 24. The results showed that partially, the variables of financial distress, company size, liquidity, and accounting profit had no significant effect on stock returns. Meanwhile, operating cash flow positively impacts stock returns. These findings indicate that fundamental indicators are not always the main determinants of stock returns. Therefore, investors are advised also to consider external factors such as market sentiment, macroeconomic conditions, and government policies that may have a greater influence on stock performance in the capital market.

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 goals to investigate and prove the impact of Price, Product Quality, and Location on Purchasing Interest in choosing Complete Supermarket as a place to shop for baby and household supplies. Purchasing interest is a crucial element that determines the accomplishment of a retail business, and is impactd by various marketing elements. This study employs a descriptive quantitative approach with a study framework. The population in the research is consumers of Complete Self-Utility. Sampling was carried out using certain techniques (for example, Purposive Sampling or Simple Random Sampling) with a total of 100 respondents. Data were collected through questionnaire deployment and looked over using multiple linear regression analysis. The outcome of the research are expected to reveal that: (1) Price has a positive and substantial effect on Purchasing Interest; (2) Product Quality has a positive and substantial effect on Purchasing Interest; (3) The location has a positive and substantial effect on the Purchasing Interest; and (4) Price, Product Quality, and Location simultaneously have a substantial effect on purchasing Interest.

The franchise business model has experienced rapid growth in Indonesia, particularly in the food, beverage, and modern retail sectors, such as Indomaret. The franchise system provides efficient business expansion opportunities for franchisors and franchisees to participate in businesses that already have established operational standards and market reputations. However, behind this development, significant legal challenges have emerged, particularly related to the unequal position between franchisors and franchisees in franchise agreements. This study aims to analyze the forms of legal protection for franchisees by reviewing the principles of fairness, balance, and legal certainty in the implementation of franchise contracts. The approach used is a normative juridical method with a case study of the Indomaret franchise partnership, which is examined through an analysis of related laws and regulations, such as Government Regulation Number 42 of 2007 concerning Franchising and Regulation of the Minister of Trade Number 71 of 2019. The results of the study indicate that there is still asymmetry of power in contract drafting, weak legal literacy of franchisees, and a lack of government oversight of agreement implementation. Therefore, regulatory reform and strengthening of oversight mechanisms are needed to ensure that franchise relationships operate fairly, transparently, and sustainably

This study aims to analyze the effect of member card usage on customer satisfaction at Bolly Department Store in Bima City. The research applied a quantitative approach with a survey method, where data were collected through questionnaires from 96 respondents selected using purposive sampling, specifically customers who owned a member card. The research instrument was tested using validity and reliability tests to ensure accuracy and consistency. Data were analyzed using simple linear regression, correlation coefficient, coefficient of determination, and t-test with the assistance of SPSS software. The findings indicate that the member card variable has a positive and significant effect on customer satisfaction. This is evidenced by the t-test result, where the t-value (1.894) exceeded the t-table value (1.661). However, the coefficient of determination (R²) was only 0.029, meaning that the member card explains merely 2.9% of the variation in customer satisfaction, while 97.1% is influenced by other factors. Therefore, although the member card improves customer satisfaction, its contribution is relatively small, suggesting that additional and more comprehensive marketing strategies are needed.

Organizational Communication Climate Mangement in Improving Charles & Keith Employee Work Motivation (Case Study at Charles & Keith Store Summarecon Mall Serpong). Organizational communication climate is a key element in creating a productive work environment, especially in the dynamic retail industry. This study aims to describe the organizational communication climate formed at the Charles and Keith Store Summarecon Mall Serpong and to determine the level of employee work motivation at the Charles and Keith Store Summarecon Mall Serpong. This study was conducted at the Charles & Keith Store located in Summarecon Mall Serpong, Tangerang for 3 months, starting from April to June 2025 using a qualitative approach with a case study method, involving in-depth interview observations, and documentation of data collection techniques. The results of the study indicate that a warm, supportive, and transparent communication climate plays a vital role in creating a healthy and inspiring work atmosphere. Employees feel valued because they are given space to express their opinions, are involved in decision-making, and receive honest and constructive feedback. In addition, trust and honesty are important foundations in building harmonious and work-oriented working relationships. These findings emphasize that good communication climate management has a direct impact on employee morale, loyalty, and productivity in the modern retail sector.

Traditional markets play a central role in the local economic system and the social life of communities, particularly in Medan City. However, the dynamics of urbanization, competition from modern retail, and changes in consumer behavior have posed significant challenges to their sustainability. This study aims to analyze the relationship between the strategic location of traditional markets and their economic performance using a mixed-methods approach and spatial analysis. The research focuses on six traditional markets in Medan City: Petisah Market, Sukaramai Market, Beruang Market, Ikan Lama Market, Sei Sikambing Market, and Pringgan Market. Quantitative data were collected through questionnaires using a Likert scale and analyzed descriptively and correlationally, while qualitative data were gathered through field observations and in-depth interviews to interpret the socio-spatial context of each market. The key variables include accessibility, commodity diversity, and environmental comfort, which are linked to economic performance indicators such as visitor numbers, buyer loyalty, and sales stability. The results show that Petisah, Pringgan, and Ikan Lama Markets scored highest in these variables and demonstrated better economic performance. Correlation analysis identified commodity diversity as the most influential factor on economic performance, followed by environmental quality and accessibility. To strengthen the analysis, a SWOT model was also applied to identify the strengths, weaknesses, opportunities, and threats faced by traditional markets. This analysis reveals that the primary strengths of the markets lie in their location and social interaction, while the main challenges stem from a lack of modern management and pressure from digital markets. This study recommends development strategies based on local advantages, infrastructure modernization, market information digitalization, and cultural promotion as steps to sustainably enhance the competitiveness of traditional markets amid urban spatial changes.

This study aims to analyze the effect of store layout and product display on computer spare part sales at Bandung Trade Mall. The background of this study is based on the increasing competition in the computer retail business, which requires effective visual merchandising strategies to attract consumers. The research method used a quantitative approach with a survey of 20 respondents selected purposively. Data were collected through questionnaires, observations, and informal interviews, then analyzed using multiple linear regression. The results show that store layout and product display have a significant simultaneous effect on sales with an F value of 12.43; sig. < 0.05. The coefficient of determination (R²) of 0.62 indicates that both variables explain 62% of the variation in sales, while the rest is influenced by other factors outside the model. These findings reinforce the S-O-R theory that visual stimuli can increase consumer comfort, interest, and impulse buying. This study has practical implications for computer retailers to optimize store layout and product display as a strategy to improve sales performance.

This study aims to analyze the effect of service quality on customer satisfaction in the retail sector. The background of this study stems from the importance of service quality in improving customer satisfaction, which ultimately influences loyalty and purchasing decisions. In an increasingly competitive retail environment, customer satisfaction plays a pivotal role in shaping consumer behavior. The method used in this study is a survey with a quantitative approach, where data is collected through questionnaires distributed to 150 customer respondents across several retail stores. The collected data were analyzed using regression analysis techniques to test the relationship between service quality and customer satisfaction variables. The findings of this study indicate that service quality significantly influences customer satisfaction, with service speed and staff friendliness identified as the most dominant factors. These results highlight the essential role of service quality in driving customer satisfaction and suggest that retail businesses should prioritize enhancing these aspects of service to meet customer expectations. The implication of these findings is the importance for retail companies to continually improve service quality as a strategic approach to retain customers and increase their satisfaction. This study contributes to the development of service theory, providing insights into the dynamics between service quality and customer satisfaction. Additionally, it offers practical recommendations for managers in the retail sector, emphasizing the need for a customer-focused approach to enhance competitive advantage in the market.

Public Fuel Filling Stations (SPBU) are important facilities that provide various types of fuel such as gasoline, diesel, and Pertamax to meet the needs of motorized vehicles. The existence of SPBU greatly helps the public in obtaining fuel at a more economical price compared to purchasing retail. However, the transaction system at SPBU generally still uses conventional methods, such as cash payments or the use of debit/credit cards that have not been fully integrated with an efficient digital system. The use of RFID (Radio Frequency Identification) technology has been implemented as a non-cash transaction method at several SPBUs, but this system still has various weaknesses, such as limited device compatibility and delays in transaction processing. This prompted the author to develop the concept of an independent SPBU based on modern technology that is more efficient and secure. The proposed innovation includes the use of contactless smart cards and coin acceptors for the payment system, allowing users to make self-service transactions without operator involvement. In addition, the author also added several supporting components such as proximity sensors, which function to detect the presence of vehicles or people around the SPBU area. These sensors can help in saving electrical energy by activating the system only when needed. Another component is a vibration sensor, which plays a crucial role in detecting excessive vibrations that could potentially cause leaks. If excessive vibration is detected, the system automatically closes the solenoid on the pump to prevent the risk of fire or damage. By integrating this technology, the autonomous gas station system is expected to improve operational efficiency, user convenience, and safety during the automatic refueling process. This development is expected to be an innovative solution for modernizing the gas station system in Indonesia.