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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 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.

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.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting local and national economic development, particularly through employment generation and income distribution. Seasonal religious events such as Ramadan significantly influence consumption patterns and market dynamics, creating both opportunities and challenges for MSMEs. This study aims to analyze the implementation of the “Seri Ramadhan” phenomenon within the strategic management practices of MSMEs in Martapura, focusing on the periods before and after Ramadan. The research employed a qualitative descriptive approach with field study methods. Data were collected through in-depth interviews, direct observation, and documentation involving selected MSME actors in the culinary, fashion, and retail sectors. The findings indicate that prior to Ramadan, MSMEs emphasize strategic planning through product innovation, stock preparation, promotional intensification, and operational adjustments. After Ramadan, they conduct performance evaluations, inventory control, and strategic realignment to maintain business sustainability. The study highlights that Ramadan is not merely a short-term sales opportunity but also a strategic momentum integrated into broader business planning cycles. The implications suggest that adaptive and cyclical strategic management enhances MSME resilience and competitive advantage in seasonal markets.

This study aims to analyze the employee turnover rate experienced by CV Premium Indonesia employees through the influence of workload and job stress. As a company engaged in the retail and distribution of mobile phone accessories from leading brands, the desire to leave the company often arises due to high workload and feelings of work stress because of the many demands within the company. The methodology used in this study is quantitative, employing SEM model data analysis with the help of SmartPLS software. The sampling technique used is saturated sampling, with a total sample of 127 respondents. The results of this study indicate that high levels of workload can increase employee turnover rates. Meanwhile, high levels of job stress experienced by employees can also increase employee turnover rates. These findings suggest that CV Premium Indonesia should address the issues of workload and job stress in order to retain employees. Effective strategies such as work-life balance, stress management programs, and workload adjustments could help reduce employee turnover and improve overall organizational performance.

This study aims to examine the effect of Islamic Service Quality comprising compliance, assurance, reliability, tangibles, empathy, and responsiveness on repurchase intention through consumer satisfaction at the Musa’adah Kopontren Retail, Sukorejo Situbondo. This research employs an explanatory research design. The sampling technique used is non-probability sampling with a purposive sampling method. Data were collected a questionnaire distributed both directly and via Google Forms, involving a total of 240 respondents. The data analysis method applied is Partial Least Squares (PLS) using SmartPLS software. The results indicate that: (1) compliance has a significant effect on consumer satisfaction; (2) assurance has a significant effect on consumer satisfaction; (3) reliability has no significant effect on consumer satisfaction; (4) tangibles have a significant effect on consumer satisfaction; (5) empathy has a significant effect on consumer satisfaction; (6) responsiveness has a significant effect on consumer satisfaction; (7) compliance has no significant effect on repurchase intention; (8) assurance has no significant effect on repurchase intention; (9) reliability has no significant effect on repurchase intention; (10) tangibles have a significant effect on repurchase intention; (11) empathy has no significant effect on repurchase intention; (12) responsiveness has no significant effect on repurchase intention; and (13) consumer satisfaction has a significant effect on repurchase intention.

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.

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.

Regional economic development requires understanding the structure and performance of economic sectors to create effective policies. PadangiCity, the capital of West SumatraiProvince, plays a strategic role in the regional economy. However, differences in sector contributions and growth indicate structural imbalances that need attention. This studyiaims to identify leading and potential economic sectors in Padang City to support sustainable development planning. The study uses Location Quotient (LQ), iDynamic Location Quotient (DLQ), and the Growth Ratio Model (GRM) to analyze secondary data on GrossiRegional Domestic Product (GRDP) at constant 2010 prices from 2020 to 2024, sourced from the CentraliBureau of Statistics of Padang City and West Sumatra Province. LQ results show that most sectors in Padang City are base sectors, especially business services, transportation and warehousing, ifinancial and insurance services, real estate, and wholesale and retail trade. DLQ analysis indicates that mining and quarrying, trade, transportation and warehousing, iinformation and communication, and health and social services have higher growth prospects than the reference region. GRM results show that trade, information andicommunication, real estate, health services, andiother services are leading sectors with good performance and growth potential. In contrast, agriculture, manufacturing, and construction are still lagging sectors. These findings highlight a structural shift in Padang City’s economy toward service-sector dominance and underline the need for sustainable, inclusive, and adaptive development policies to support long-term economic growth.

Butgeting is an important instrument in managing retail businesses such as Toko Harapan Teknik Boyolali, as it functions as a tool for planning, control, and evaluation of company performance. Budget effectiveness is influenced by both internal and external factors of the organization. This study aims to analyze the effect of company performance and environmental uncertainty on budget effectiveness at Toko Harapan Teknik Boyolali. This research employs a qualitative approach using a library research method by reviewing and synthesizing information from various sources, including books, scientific journals, and previous studies. The results indicate that company performance has a positive effect on budget effectiveness, as good performance supports more realistic and accurate budget preparation. In addition, environmental uncertainty, such as changes in market conditions, business competition, demand fluctuations, and economic dynamics, can hinder budget effectiviness. Simultaneously company performance and environmental uncertainty influence the success of budgeting. Therefore, companies need to improve performance and implement flexible and adaptive budgeting systems to address environmental uncertainty.

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 study examines the implications of the micro-shopping phenomenon and omnichannel integration for market structure and competitive dynamics in Indonesia’s retail sector from an industrial organization perspective. The transformation of modern retail is characterized by a shift toward small-value, high-frequency transactions alongside increasing integration between physical stores and digital channels. Employing a descriptive-analytical approach, this study utilizes secondary data on market shares and the number of retail outlets operated by major firms during the 2022–2024 period. Market structure is assessed through market share distribution, outlet ownership ratios, the four-firm concentration ratio (CR4), and the Herfindahl–Hirschman Index (HHI). The results indicate that Indonesia’s retail market exhibits a highly concentrated, network-based oligopolistic structure. The dominance of large retail firms is reflected not only in their substantial market shares but also in their dense outlet networks, which enable the aggregation of dispersed micro-shopping transactions. Furthermore, omnichannel integration reinforces these structural advantages by enhancing logistical coordination and distribution efficiency. Overall, the findings suggest an increasing tendency toward market consolidation and a declining competitive space for small and traditional retailers, highlighting important implications for competition policy and the long-term sustainability of retail market structure.

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.

Modern retail expansion in Situbondo Regency has intensified competitive interaction with traditional markets, making it important to map differences in market structure, firm conduct, and performance outcomes. This study compares (i) market structure using concentration indicators (CR4 and the Herfindahl–Hirschman Index/HHI), (ii) competitive conduct (pricing practices, promotional intensity, service attributes, and relationship patterns), and (iii) performance proxies (sales turnover and selected price efficiency measures) within the SCP framework. The analysis applies a descriptive quantitative approach supported by targeted primary observations and questionnaire-based information, and complemented by official statistics and regulatory documents. Traditional-market samples include Panji, Besuki, and Panarukan markets, while modern-retail samples include local outlets of Indomaret, Alfamart, and Basmalah. Results indicate that traditional markets are relatively unconcentrated (CR4 = 38.0%; HHI = 744), consistent with a competitive structure dominated by many small vendors. Modern retail is more concentrated (CR4 = 77.0%; HHI = 1,644), suggesting moderate concentration and a tendency toward local oligopoly. Average monthly turnover per unit is higher for modern retail (IDR 36.36 million) than for traditional vendors (IDR 15.63 million). Price efficiency varies across commodities: some items show near parity, while several fresh commodities remain cheaper in traditional markets. Policy implications point to balanced local governance: zoning and permitting for modern stores, continuous revitalization of traditional markets, and strengthened MSME partnership schemes to ensure healthy and inclusive competition.

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 study aims to analyze the influence of location, promotion, and service on purchasing decisions at Toko Lia 99 Semarang. The background of this research is based on the increasing competition in the retail business, which requires companies to pay attention to factors that can influence consumers’ purchasing decisions. This study uses a quantitative approach with a survey method. Primary data were obtained through questionnaires distributed to 100 respondents who are customers of Toko Lia 99 Semarang. The research instrument was a questionnaire using a Likert scale. The data analysis technique used is multiple linear regression with the help of SPSS software. The results show that, partially, the location variable has a positive and significant effect on purchasing decisions. The promotion variable also has a positive and significant effect on purchasing decisions. Likewise, the service variable is proven to have a positive and significant effect on purchasing decisions. Simultaneously, location, promotion, and service have a positive and significant influence on purchasing decisions.