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This research aims to analyze the implications of the transition in lease accounting standards to PSAK 73 on tax efficiency levels and net income structures within the retail industry, focusing on PT Mitra Adiperkasa Tbk as case studies. Employing a descriptive quantitative method, this research compares financial statement data from the 2017-2024 period to evaluate shifts before and after the regulation's enforcement. The results reveal that the implementation of PSAK 73 successfully improved corporate tax efficiency, characterized by a decrease in the Effective Tax Rate (ETR) below the statutory corporate tax rate. This was achieved by leveraging temporary differences that resulted in the recognition of deferred tax assets, providing a strategic advantage in the form of tax deferral. On the other hand, the application of this standard caused significant pressure on net profit during the initial transition phase due to the front-loading expense pattern derived from right-of-use asset depreciation and lease liability interest.

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.

Disputes over unpaid insurance claims are a problem that frequently arises in insurance practice and can harm consumers both financially and psychologically, while also reducing public trust in the insurance industry. Such disputes are generally triggered by differing interpretations of policy provisions, alleged breaches of the good-faith principle, and administrative obstacles, which ultimately lead to civil conflicts between the insured and the insurer. To provide access to dispute resolution that is faster, fairer, and more affordable than litigation, the Financial Services Authority (Otoritas Jasa Keuangan/OJK) established the Alternative Dispute Resolution Institution for the Financial Services Sector (Lembaga Alternatif Penyelesaian Sengketa Sektor Jasa Keuangan/LAPS SJK) through OJK Regulation No. 61/POJK.07/2020. This study aims to analyze the mechanism for resolving disputes over unpaid insurance claims through LAPS SJK and to assess its effectiveness in providing legal protection and legal certainty for consumers. The research method employed is normative legal research using a statutory approach and a conceptual approach, through an examination of primary, secondary, and tertiary legal materials related to contracts, insurance, consumer protection, and alternative dispute resolution. The findings show that LAPS SJK has the authority to handle civil disputes in the financial services sector, including insurance disputes, provided that the parties have a written agreement and have first pursued internal dispute resolution (Internal Dispute Resolution/IDR). Dispute resolution at LAPS SJK is conducted through mediation and arbitration. Mediation is facilitated by a mediator to encourage the parties to reach a settlement agreement, which may be reinforced into a Deed of Settlement (Akta Perdamaian) that is final, binding, and enforceable. If mediation fails, arbitration offers a more determinative resolution through a final and binding award that can be enforced after being registered with the District Court. Overall, LAPS SJK is considered effective because its procedures are structured, time-bound, and provide a fee waiver for mediation in retail and small-claim cases up to IDR 750,000,000. However, its effectiveness remains conditional, as it depends on the existence of a written agreement between the parties, the obligation to undergo IDR, and good faith in the mediation process.

The retail industry is currently facing increasingly intense competition, requiring optimal supply chain efficiency. Warehouses play a strategic role in controlling inventory flows and supporting a company’s operational performance. At K3Mart, stock shortages are still frequently found, caused by low supplier compliance with Service Level Agreements (SLA) and delays in delivery schedules, which negatively affect distribution processes and store service quality. This study aims to analyze the effect of supplier compliance with SLA and delivery timeliness on warehouse operational performance at K3Mart. This research employs a quantitative method by distributing questionnaires to 40 respondents from the warehouse, purchasing, and procurement divisions using a saturated sampling technique. The research instrument uses a Likert scale. Data analysis was conducted using validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination with the assistance of SPSS software. The results show that supplier compliance with SLA and delivery timeliness have a positive and significant effect, both partially and simultaneously, on warehouse operational performance. Therefore, improving supplier compliance with SLA and delivery timeliness can enhance optimal warehouse operational performance.

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.

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.

This research extends the previous work of Tsaqila, Winiarti, and Widaningrum (2024), who applied the Complex Proportional Assessment (COPRAS) method within a decision support system for supermarket branch location selection. Unlike the prior study, which focused on Ponorogo through a web-based framework, this study expands the implementation of COPRAS to the Medan Area, Medan Kota, Medan Polonia, dan Medan Maimun districts, adapting it to local urban, social, and economic characteristics. The main objective is to identify the most strategic site for a new supermarket by analyzing multiple criteria, including land cost, population density, accessibility, safety, cleanliness, and disaster risk. Data were collected from both field surveys and official government publications. The findings reveal that the COPRAS method provides reliable and objective assessments among the evaluated alternatives, with Medan Area emerging as the most suitable location for supermarket development. Overall, this study broadens the practical scope of the COPRAS method in a different regional context and reinforces its reliability and adaptability as a multi-criteria decision-making tool in the modern retail industry.

In the fast-moving fashion retail industry, supply chain efficiency is a key factor in operational success. Heybeb Factory Outlet, as one of the retail business actors, faces challenges in managing the flow of goods from upstream to downstream, particularly in balancing demand between offline (physical stores) and online (e-commerce/marketplace) channels. This proposal aims to design and analyze the logistics workflow starting from goods ordering (restocking) from the central warehouse, the goods receiving process, rigorous Quality Control (QC) procedures, storage in a dedicated transit warehouse, and the stock distribution mechanism (stock split) for the two sales channels. The main issues identified include the risk of overselling in one channel while stock accumulation occurs in another, as well as the potential for defective items to pass through due to an unstructured QC process. This study employs a descriptive qualitative approach by mapping out an ideal Standard Operating Procedure (SOP). The expected outcome is the development of an integrated inventory management system capable of minimizing return rates caused by defective items and maximizing inventory turnover through accurate stock allocation between online and offline divisions.

The retail industry is highly influenced by the level of consumer spending, which experienced significant changes during the Covid-19 pandemic. PT Midi Utama Indonesia Tbk, as one of the leading retail companies, has sought to maintain its performance through service improvement, technological innovation, and financial management. This study aims to analyze the financial performance of PT Midi Utama Indonesia Tbk for the period 2020–2024 using profitability ratios, including Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE). The results show that both NPM and ROA recorded positive trends until 2023, with NPM peaking at 3.01% and ROA at 6.71%, although both remain below industry standards. Meanwhile, ROE reached its highest level in 2022 at 20.21% before declining in subsequent years. The simultaneous decrease in all ratios in 2024 indicates pressure on net income due to rising costs and imbalances between revenue, assets, and equity growth. Overall, PT Midi Utama Indonesia Tbk demonstrated gradual profitability improvement up to 2023; however, cost control, asset optimization, and balanced capital management strategies are required to sustain future growth.

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.

This study aims to analyze the strategy of utilizing vacant spaces within airports to enhance non-aeronautical revenue through collaboration with Micro, Small, and Medium Enterprises (MSMEs). Given the growing importance of non-aeronautical revenue sources in the aviation industry, this research focuses on how airports can optimize underutilized spaces for commercial purposes. The research method applied is library research, where relevant literature, journals, and previous studies are reviewed to gain insights into successful strategies and best practices. The findings of the study indicate that the development of commercial spaces, such as fast-food tenants, retail outlets, and photo booths, can significantly enhance the passenger experience by providing convenient services and entertainment. Additionally, these developments offer a sustainable alternative revenue stream for airports, diversifying income beyond traditional aeronautical activities. The research also explores the role of the Value Proposition Canvas business model to assess the alignment between the value offered by these services and the needs of passengers. By applying this model, the study emphasizes the importance of understanding customer expectations and ensuring that airport services meet these demands. The analysis further highlights that successful implementation of these strategies requires careful planning, including collaboration between airport management, MSMEs, local governments, and sponsors. Building strong partnerships and ensuring mutual benefit are critical for maximizing the non-aeronautical revenue potential. The study concludes by suggesting that airports can leverage vacant spaces more effectively to not only boost revenue but also improve the overall passenger experience, contributing to the long-term sustainability and growth of the airport sector.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

The digital revolution has transformed retail industry into a new era full of opportunities through e-commerce but also presenting challenges in online furniture sales. Due to their inability to precisely measure and see furniture in their spaces, many customers are hesitant to make purchases. Augmented Reality (AR) offers solutions through realistic visualizations, but it’s costly and has a lot of accessibility problems. WebAR solves these issues by delivering AR features directly on mobile browsers without requiring additional apps. This study investigates the impact of WebAR innovation on e-commerce furniture by examining the roles of interactivity (IN), vividness (VI), augmentation (AU), customization (CT), and ease of access (EA) on purchase intention (PI), mediated by spatial presence (SP), decision comfort (DC), and satisfaction (SF). Using the Stimulus-Organism-Response (SOR) model, data from 100 respondents were analyzed with the PLS-SEM algorithm using SmartPLS 4.0. The findings tell us that WebAR significantly enhances consumers’s shopping experience and ultimately boosts purchase intention.

The retail industry is one of the choices for people to fulfill their needs. With the dynamics of the retail industry that had slumped, one of the local retailers in Yogyakarta, Pamella Supermarket, became the favorite choice of the people of Yogyakarta. One of the Pamella Supermarket branches, Pamella 9 Supermarket Wonosari, is always crowded with customers and its existence absorbs the youth workforce of Gunungkidul area. The existence of competition in this industry requires many supporting factors to survive.  In this study, several important factors are examined, including work motivation, work environment, work experience and employee loyalty. This study aims to analyze the simultaneous influence of work motivation, work environment and work experience on employee loyalty at the Pamella 9 supermarket in Wonosari. The research data was collected from 60 respondents through interviews and questionnaires. To analyze the data obtained, multiple linear regression techniques were used and processed with SPSS version 27.The results showed some important conclusions: first, work motivation did not have a significant influence; second, the work environment had a positive and significant influence; third, work experience also had a positive and significant influence; fourth, overall, work motivation, work environment and work experience had a significant effect on employee loyalty at Pamella 9 Supermarket in Wonosari.

The Indonesian retail industry has experienced significant changes during the 2020-2023 period, starting with the Covid-19 pandemic in early 2020. Although it is gradually showing signs of recovery, the companies have felt a huge impact, such as many stores closing, increasing operational costs, and decreasing consumer spending, which are challenges for retail business actors to maintain their business continuity. This study aims to determine the factors that can be predictors of the financial distress of retail industry companies in Indonesia. The sample in this study was retail industry companies listed on the Indonesia Stock Exchange for the 2019-2023 period and had complete financial reports, resulting in 10 companies. Data analysis uses the logistic regression method. The results of the study show that the debt-to-equity ratio (DER) and return on asset (ROA) have a significant effect, while the current ratio (CR), total asset turnover (TATO), and operational cash flow margin (OCF margin) do not have a significant effect on financial distress. Thus, retail industry companies can utilize debt as a financing strategy to accelerate growth and need to focus on efficient asset utilization so that they can increase revenue and profit margins in order to achieve better financial performance and reduce the risk of financial distress.

Indonesia's cosmetics industry has experienced rapid growth, leading to heightened competition and necessitating consumer-oriented marketing strategies. Jelita Cosmetic Store, located on Mayjend HR. Muhammad Street in Surabaya, faces these challenges by focusing on key marketing aspects such as Store Atmosphere, Sales Promotion, and Product Diversity. This study aims to examine the influence of Store Atmosphere, Sales Promotion, and Product Diversity on consumer purchasing decisions at the aforementioned store. A quantitative research method was employed, involving 100 respondents through an online questionnaire. The findings indicate that all three variables significantly affect purchasing decisions, both partially and simultaneously. These results underscore the importance of integrated marketing strategies in enhancing customer loyalty and increasing sales. This research is expected to serve as a reference for cosmetic retail practitioners and encourages future studies to include additional variables such as price, service quality, or brand image to provide a more comprehensive understanding of consumer purchasing behavior.

This study aims to analyze the effect of retail layout on customer satisfaction levels at PT Trans Retail Medan Carrefour. In an increasingly competitive retail industry, store layout is one of the strategic factors that can affect comfort, shopping efficiency, and customer perceptions of service quality. This study uses a quantitative approach with descriptive and associative methods, involving 60 respondents who are active customers of Transmart Carrefour Medan. Data collection techniques were carried out through distributing questionnaires and direct observation. The results of multiple linear regression analysis show that retail layout has a significant effect on customer satisfaction, with a contribution of 75.9% to the variation in satisfaction levels. The layout factors that contribute the most include product placement, aisle design, lighting, signage, and ease of access between areas. These findings emphasize the importance of optimizing store layout as a strategy to improve the shopping experience and customer loyalty. Thus, retail management is advised to continue to evaluate and innovate in spatial planning in order to meet consumer expectations sustainably.  

This study aims to analyze the effect of product arrangement on consumer purchasing decisions at Alfamidi Jl. Tuasan, Medan. Product arrangement is a crucial visual merchandising strategy in the modern retail industry to attract consumer attention and increase sales. The study used a quantitative approach with an associative method, involving 30 respondents selected through accidental sampling techniques. Data were collected using a questionnaire with a 5-point Likert scale and analyzed using simple linear regression with the help of SPSS version 25. The results showed that product arrangement had a positive and significant effect on consumer purchasing decisions with a coefficient of determination (R²) of 90.2%. The regression equation Y = 1.245 + 0.675X shows that every one unit increase in product arrangement will increase purchasing decisions by 0.675 units. The t-test produced a calculated t value of 16.071> t table 2.048 with a significance of 0.000 <0.05, confirming the research hypothesis. This finding confirms that product layout elements such as ease of access, visual appeal, and layout comfort play a vital role in influencing consumer behavior and increasing the effectiveness of retail marketing strategies.

This study aims to analyze the potential of the region in utilizing the demographic bonus in Aceh Tamiang Regency. The data used in this study is the PDRB data of Aceh Tamiang Regency and Aceh Province in 2019-2023. The data analysis method uses location question (LQ) and shift share analysis. Based on the results of the LQ analysis, it is known that there are 4 (four) business fields that can become leading sectors in Aceh Tamiang Regency and at the same time are the economic base for further development, namely the agriculture, forestry, and fisheries sectors; mining and quarrying; processing industry; and other services. Meanwhile, based on the shift share analysis, it can be seen that the sectors that have a positive impact on the utilization of the demographic bonus in Aceh Tamiang Regency are the wholesale and retail trade sector, car and motorcycle repairs. In addition to providing a good contribution to the utilization of the demographic bonus in Aceh Tamiang Regency and can increase the PDRB of Aceh Province.

The apparel industry in Chengdu is transforming significantly due to integrating artificial intelligence (AI) technologies. This evolution aims to enhance consumer satisfaction by providing personalized shopping experiences, improving inventory management, and streamlining the supply chain. AI-driven algorithms analyze consumer behavior and preferences, allowing retailers to create tailored recommendations that align with individual tastes. Additionally, AI tools enable efficient inventory management by predicting trends and consumer demand, which helps reduce instances of overstock and stockouts. This optimization improves operational efficiency and ensures customers can find their desired products when visiting stores or online. This study was conducted through an online questionnaire distributed to 376 Chengdu participants to measure their attitudes toward AI improvement in the apparel industry. The findings underscore that innovative technology, perceived information quality, and perceived customization correlate with consumer satisfaction in AI experience improvement.