Retail Companies Research Articles

A Comparative Study on Customer Churn Analysis Using Machine Learning and Data Enrichment Techniques

With the increasing amount of online shopping, companies can collect more customer data. Companies use this data to get to know their customers better and provide customized services. Churn analysis is one of the most essential analyses derived from the vast amount of data collected, which provides information about when a customer will stop shopping with the company. In this study, we perform a churn analysis using machine learning (ML) algorithms to analyse the customer behavior data of a fashion retail company. To perform churn analysis, we performed a four-stage methodology. First, we carried out data preparation and visualization studies, and then we created models using various ML algorithms. After examining the baseline data, we added the RFM (Recency, Frequency, Monetary) score to the data with the data enrichment technique and performed the analysis again. We used the Synthetic Minority Oversampling Technique (SMOTE) to eliminate the data irregularity and performed parameter optimization on the algorithms in SMOTE data. We compared the accuracy and F1 score values obtained after this four-stage process and examined the effect of the algorithms. In the last stage, we divided whole data into clusters using the k-means technique and applied ML algorithms to clustered data. Then, we compared all these results and examined the effect of segmentation on the results. The analysis shows that the extreme gradient boosting algorithm provides better accuracy and F1 score values. Using these results, the company can identify customers likely to churn and begin funding Customer Relationship Management (CRM) efforts. Additionally, experts can determine the company's development directions by organizing campaigns for these customers and analysing their reasons for churn in more detail.

Impact from a Financial Perspective on Retailing, Luxury, and Technological Companies that COVID-19 Caused and How It Continues

Impact from a Financial Perspective on Retailing, Luxury, and Technological Companies that COVID-19 Caused and How It Continues

Key Financial Metrics Drive Company Value in Indonesia's Retail Sector

This study investigates the influence of key financial metrics on the value of retail companies in the Indonesian service industry from 2019-2020. Using multiple linear regression analysis on data from 18 companies, the research finds that Total Asset Turnover, Net Profit Margin, and Equity Multiplier positively impact company value, while Return on Investment and Return on Equity do not. These findings suggest that improving asset utilization, profitability margins, and equity leverage can enhance company value, providing valuable insights for company management and investors. Highlights: 1. Total Asset Turnover, Net Profit Margin, and Equity Multiplier increase company value.2. Return on Investment and Return on Equity don't significantly affect value.3. Improve asset utilization, profitability margins, and equity leverage to enhance value. Keywords: Company value, financial metrics, retail industry, asset turnover, profitability

The role of work-based learning (WBL) in achieving job satisfaction: An empirical study on retail companies in Egypt

The role of work-based learning (WBL) in achieving job satisfaction: An empirical study on retail companies in Egypt

PENGARUH KARAKTERISTIK PERUSAHAAN TERHADAP KETEPATAN WAKTU PENYAMPAIAN LAPORAN KEUANGAN PADA PERUSAHAAN RITEL YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2020 -2022

The research studied aims to determine the effect of financial performance using profitability proxied by Return On Assets (ROA), liquidity proxied by Current Ratio (CR), leverage proxied by Debt to Equity Ratio (DER), and company size proxied by SIZE. The sample in this study is retail companies that have been listed on the Indonesia Stock Exchange from 2020 – 2022. This study uses secondary data in the form of annual financial reports obtained from the Indonesian stock exchange website. Data analysis was carried out by multiple linear regression. The results showed that financial performance using the profitability ratio had no effect on the timeliness of submitting financial reports, liquidity and company size showed that it had a positive effect on the timeliness of submitting financial reports. And leverage shows that it has a negative effect on the timeliness of submitting financial reports.

Measuring Operational Efficiency: A Functional Analysis of Core and Non-Core Activities in a Leading Romanian Oil and Gas Retail Company

Abstract This paper employs a qualitative approach to conduct functional analysis within one of the main players in the Romanian market in the retail oil and gas industry, utilizing the company's internal intranet platform to gather data. The study unfolds in distinct stages, beginning with department selection, followed by task breakdown, activity categorization, data collection, analysis, and insight sharing. The analysis reveals a comprehensive view of the company's operational landscape, guiding strategic decisions and resource optimization. Key conclusions highlight the significance of core activities for revenue and growth, the value of diverse employee typologies, and opportunities for efficiency enhancement. The study's insights offer practical directions for managing core competencies, fostering informed collaboration, and adapting to industry changes. Future recommendations include leveraging this analysis for future strategy, investment, and innovation.

Perceived Quality and Satisfaction Regarding Private Labels in Romanian Retail

Abstract This article addresses the perception of various customers regarding the private labels of retail companies. Therefore, the scope of this paper is to illustrate and determine whether specific factors such as the opinion, satisfaction and enjoyment of such labels, influence each other and also the perception of the customer, regardless if the customer is aware or not about it. Since these factors also influence the purchasing decision of potential customers, it is interesting to find out the current state of those, and identify any potential for improvement. This paper uses a statistic linear model, that is based on the inference statistic as well as the descriptive statistics. Therefore, tests like the Lagrange multiplier test, known also as the White test, the Durbin Watson test and the Jarque Bera test, were conducted to check the quality and the validity of the model. The results are interesting due to the fact that every time 2 factors were analysed, one test was failed. This does not necessarily mean that the model is unfounded or not valid. This signifies that there might be a better model that suits the behavior of the analysed factors and can possibly predict better their outcome.

Liberalization, financial performance and key strategic choices: some empirical evidence from energy companies

PurposeThis paper aims to examine the impact and the link between some key strategic choices and financial performance of energy companies. In fact, in the light of the European energy directives and the related ransformations, it is interesting to analyze how much the financial performance of electricity and gas companies affects some choices related to some main characteristics of companies, and thus their active role.Design/methodology/approachThis study uses data collected from Amadeus, a database from Bureau Van Dyck, to create a sample consisting of an unbalanced panel of annual period series from 2009 to 2017. The sample includes all the electricity and gas limited retailer companies registred in two countries, Italy and the UK. The used method and post-estimations include probit models and as post-estimation marginal effects and matrices of correlation.FindingsResults identify asset turnover (sales revenue/total assets), efficiency of invested capital, as the key drivers of the strategic decisions analyzed (that is being part of a group of companies, the business chosen, the type of country and if they are companies operating in more than one phase). Age, size and headquarter of company are also significant when they are included in a larger model as control variables.Originality/valueThe combination of the analysis of two of the largest European electricity and gas retail markets and inclusion of financial values as performance measures are key contributions of this paper.

Analisis Model Altman Z”-Score Sebagai Prediksi Kebangkrutan

The retail business is a great opportunity for Indonesia because some people earn income from selling retail goods, but in recent years retail companies in Indonesia have experienced a slowdown, impacting many large and well-known retail outlets in Indonesia that have begun to stop their business for various reasons. Increasingly sophisticated technological developments such as the emergence of e-commerce that is more attractive to buyers because of the ease of transacting at a much more affordable price is one of the reasons. This study aims to analyze the prediction of potential bankruptcy in retail subsector companies on the Indonesia Stock Exchange for the 2018-2021 period by applying the Altman Z"-Score model. Sampling using purposive sampling techniques with samples of five retail companies listed on the IDX for the 2018-2021 period with a total of The sample is 5 companies, namely GLOB, HERO, MKN, MPPA and TRIO. This research uses a type of descriptive research using quantitative methods. Based on the results of research the Altman Z "-Score method categorizes companies in three categories, namely not bankrupt (safe zone) with a cut off value of Z" > 2.60; prone (gray zone) with a cut off value of 1.10 < Z'' < 2.60 and bankrupt (distress zone) with a cut off value of Z" < 1.10, which means that the company in the HERO category is in the gray zone or it could be said that the company is in a vulnerable condition. This is indicated by a Z"-Score value of 1.10 < Z "< 2.60. MKNT is in the distress zone position, the company shows a decreasing and negative Z"-Score value, namely Z"-Score < 1.10, which means the company is in a state of bankruptcy, the Z" value. -The score is decreasing and negative, namely the Z"-Score value < 1.10 which means the company is in a state of bankruptcy. Based on these results, the Z"-Score value is < 1.10 which means the company is in a bankrupt position. So suggestions for a) company managers who have a Z"-Score < 1.10 are expected to optimize the e-commerce platform as an alternative to cut working capital costs, land rental costs and cut other escalating costs and for investors it can be a consideration in taking investment decisions to minimize losses by utilizing Altman Z"-Score analysis.

Propuesta para la mejora en la reposición de inventario en una empresa retail peruana mediante herramientas lean

This research work aims to improve inventory replenishment in a retail company as it is essential for any company to meet product demand. Therefore, by analyzing the percentage of canceled orders within the retail company and using an Ishikawa diagram, it was determined that the absence of distribution centers led to cost overruns in the logistics process. By employing this methodology, the improvement proposal was divided into three stages: logistics hubs information collection and diagnosis; design and validation of the improvement proposal; and evaluation of the improvement proposal viability, risks and implementation time. These stages indicate that the proposed solution would involve establishing a logistics hub to serve as a low-cost distribution warehouse. Furthermore, during this research, we used the 5S methodology, one of the most popular lean tools, applicable to every department and action. Based on the analysis of the cost flow and economic scenarios, it is concluded that implementing the hub is feasible. This would not only increase product availability and assortment but also result in savings on transportation costs from the distribution center in Lima to the hub located in Tarapoto, Peru.

What does trust have to do with it? Training consumers to detect digital imposter scams

Purpose One of the insidious effects of government and business imposter scams is the potential erosion of trust among defrauded consumers. This study aims to assess the relationship between prior imposter scam victimization and present ability to discriminate between real and fake digital communications from government agencies and retail companies. Design/methodology/approach This paper tests whether a short, interactive training can help consumers correctly identify imposter scams without mistrusting legitimate communications. Participants were randomized into one of two control groups or to one of two training conditions: written tips on identifying digital imposter scams, or an interactive fraud detection training program. Participants were tested on their ability to correctly label emails, websites and letters as real or a scam. Findings This paper find that prior imposter scam victimization is not associated with greater mistrust. Compared to the control conditions, both written tips and interactive digital fraud detection training improved identification of real communications and scams; however, after a two- to three-week delay, the effect of training decreases for scam detection. Originality/value Results indicate that prior imposter scam victimization is not associated with mistrust, and that one-time fraud detection training improves consumers’ detection of imposter scams but has limited long-term effectiveness.

Analisis Rasio Keuangan Untuk Mengukur Kinerja Keuangan Pada Pt. Sumber Alfaria Trijaya Tbk

This study aims to determine and analyze financial performance using financial ratio analysis in PT. Sumber Alfaria Trijaya Tbk. Period 2018-2022. This type of research is descriptive quantitative research. The research was conducted through the official website of the Indonesia Stock Exchange (IDX). The population in this study is all financial statements of retail companies in the supermarket and minimarket subsector listed on the Indonesia Stock Exchange for 2018 - 2022, while the sample of this study is PT. Sumber Alfaria Trijaya Tbk for the period 2018-2022. The data collection technique in this study is documentation while the data analysis technique uses financial ratios namely liquidity ratio, solvency ratio, activity ratio and profitability ratio and market value ratio. The results showed that the level of financial ratios of PT. Sumber Alfaria Trijaya Tbk. tends to be above the industry standard average which shows financial performance is in good condition.

Pengembangan Modul Stock Fulfillment Online Transaction pada Aplikasi Distribution Center System menggunakan Framework Flask di PT.XYZ

The rapid advancement of information technology necessitates that every business adapts to keep pace with technological developments. PT. XYZ, a retail and distribution company, faced challenges with their outdated technology, specifically Oracle Forms. Oracle Forms incurred high maintenance costs and was limited to running on legacy systems. Consequently, PT.XYZ decided to create a Stock Fulfillment Online Transaction module using the Flask frameworks and Python. The development process followed the Agile Scrum methodology, including stages such as requirement analysis, sprint planning, iterative development, continuous testing, and final evaluation. The outcome of this application development demonstrates that using Flask frameworks and Python allows for an application that can operate across various platforms while reducing maintenance costs.

Implementasi Python-PPTX dan Dom-to-Image dalam Pembangunan Sistem Otomatisasi Laporan Berbasis Web di PT. XYZ

PT. XYZ is a leading retail company in Indonesia operating in a highly dynamic industry. Despite using PowerPoint (PPT) presentation reports as a key communication tool with its business partners, PT. XYZ's report creation process is still done manually. This leads to time wastage, the risk of errors, and disruptions to operational efficiency. The purpose of this research is to implement Python-pptx for the automation of report compilation and dom-to-image for the integration of visual data. The goal is to overcome the main challenges faced by PT. XYZ. The research methodology includes problem identification, literature review, system requirements analysis, system design, application development, and system testing. The results of this research include the successful implementation of Python-pptx and dom-to-image in building a web-based automated reporting system at PT. XYZ. System testing demonstrates the success of this technology, ensuring user satisfaction, and preparing the system for more efficient use.

Pengembangan Sistem Oracle Forms untuk Optimisasi Proses Penjualan di PT.XYZ

This research focuses on the development of an efficient sales system for PT. XYZ a retail company in Indonesia. The company faces challenges in its sales processes due to the lack of efficiency in the manual system, which is susceptible to errors. The research aims to optimize the sales process by utilizing Oracle Forms 10g and implementing the Rapid Application Development (RAD) methodology to ensure timely solutions. The developed system demonstrates a significant improvement in efficiency, accuracy, and speed. The use of Oracle Forms and SQL Developer simplifies data entry and management processes, while the implementation of List of Values (LOV) reduces errors and enhances data consistency. Furthermore, the system provides real-time insights into sales performance, enabling better decision-making and strategic planning for the company.

Penerapan Arsitektur Model View Controller dan Framework Zend dalam Pengembangan Aplikasi Category Online di PT XYZ

This research discusses the implementation of the Model View Controller (MVC) architecture and Zend Framework in developing the Category Online application at PT XYZ, a leading retail company in Indonesia. The IT team at PT XYZ faced challenges in developing applications using PHP Native, and the adoption of the Zend Framework improved development efficiency. The application handles manual changes in item status across numerous branches, which is inefficient. The study focuses on developing the Transformation Class Product (TCP) module. The research method involves five stages, from requirements analysis to implementation, using a prototype model approach. System testing, utilizing black box testing during the User Acceptance Test (UAT) phase, was successful, indicating the effectiveness of the application's core functionalities. Thus, the implementation of MVC and Zend Framework in the Category Online application at PT XYZ has proven effective in enhancing the company's operational efficiency.

Penerapan Customer Relationship Management sebagai strategi pemasaran berbasis data di PT.Gragaz Berkah Sejahtera

Implementing Customer Relationship Management (CRM) as a data-based marketing strategy has become the main focus for many companies in optimizing relationships with customers. This research explores this through a case study at PT. Gragaz Berkah Sejahtera, a pharmaceutical retail company or pharmacy business that adopts this approach. This research aims to identify how PT. Gragaz Berkah Sejahtera integrates technology and Customer Relationship Management (CRM) theory to improve interactions with customers and how to optimize data-based marketing and sales processes. The research method used is a qualitative descriptive analysis method with the object studied being PT. Gragaz Berkah Sejahtera which involves collecting data, implementing CRM technology, and evaluating its impact on customer loyalty, retention, and increasing sales. While the results of this research highlight the company's success in implementing data-based marketing strategies in an effort to improve marketing and sales, as well as increase customer satisfaction, however these results have not achieved maximum success because there are obstacles in implementing the concept of customer relationship management such as system failures. data-based information technology applications. So that efforts to implement CRM programs are disrupted and have an impact on sales which have not achieved significant growth through this data-based marketing strategy. This research can provide important information and insights for other companies wishing to adopt the same approach in an effort to improve relationships with customers and achieve optimal and sustainable marketing and sales.

Application of the New Public Relations Paradigm in the Cyberspace Retail Industry

This research aims to analyze the application of the New Public Relations (NPR) paradigm in the retail industry, by taking a case study of a well-known retail company, Alfamart. The NPR paradigm emphasizes the importance of two-way interaction between organizations and stakeholders, as well as an emphasis on values, transparency, and community involvement. This study uses a qualitative approach with data collection techniques in the form of in-depth interviews with various related parties in Alfamart, such as senior management, PR staff, and consumers. Data analysis was conducted by detailing communication practices that reflect the NPR paradigm. The results of this study reveal that Alfamart has implemented various aspects of the NPR paradigm in its communication strategy. They understand the importance of listening to input and feedback from consumers and strive to provide honest, transparent and relevant information to stakeholders. In addition, Alfamart is also active in involving themselves in social and community activities, reflecting their commitment to corporate social responsibility. This research contributes to the understanding of how retail companies can adopt the NPR paradigm in managing relationships with consumers and society more effectively. This research contributes to the understanding of how retail companies can adopt the NPR paradigm in managing relationships with consumers and society more effectively.

Emotional intelligence in leadership styles of human resources managers in Peruvian retail companies

In the post-pandemic era, organizational challenges have intensified, particularly in leadership and management within the retail sector. This study focuses on the pivotal role of Emotional Intelligence (EI) in shaping leadership styles among human resource managers. Given the complexities introduced by the pandemic, which include managing remote teams and addressing heightened emotional stressors, the study argues that leaders must possess a profound understanding of both their own and their team members' emotional dynamics. Employing a quantitative approach, the study surveyed 385 human resource managers across Peruvian retail companies to assess how EI influences their leadership styles. The analysis utilized ordinal logistic regression, revealing that EI significantly affects leadership modalities, accounting for 27,2 % of the variation in leadership styles. This suggests that EI is a critical predictor of effective leadership. The findings underscore the necessity for HR leaders to excel in emotional management, which is essential not only for improving team cohesion and workplace atmosphere but also for enhancing overall business profitability. The study concludes that in the evolving retail landscape, fostering leaders with high EI could be the key to navigating post-pandemic challenges effectively

Consumer ethnocentrism, cosmopolitanism, product judgment, and foreign product purchase intention: An empirical study in Vietnam

This study aims to determine the relationship between consumer ethnocentrism, consumer cosmopolitanism, imported product judgment, and foreign product purchase intention in Vietnam. This paper tries to present its results empirically, which might be helpful in preparing a strategy for Vietnamese customers’ international purchasing behavior to increase competition at retail companies in Vietnam. It uses a questionnaire with a purposive random sampling of 311 customers in Vietnam. Analysis was conducted through a quantitative descriptive analysis, measurement of variable dimensions on the questionnaire using a seven-point Likert scale, and partial least squares structural equation modeling (PLS-SEM) to test the hypotheses. This study found that imported product judgment, consumer cosmopolitanism, social influence, and perceived behavioral control positively influence foreign product purchase intention, whereas customer ethnocentrism has a negative impact on that intention. The association between consumer cosmopolitanism and foreign product purchase intention is mediated by imported product evaluation and consumer ethnocentrism. At the same time, national identity does not affect consumer ethnocentrism and foreign product purchase intentions. Besides, this study offers some managerial implications for marketers in decisions linked to Vietnamese customers’ international purchasing behavior to increase competition in the domestic market. AcknowledgmentThe authors express a sincere gratitude to all the participants who generously took part in this research study.