Revenue Growth Research Articles

Walmart's Business Strategy and Financial Analysis Based on Porter's Five Forces Analysis Model and SWOT

As one of the world's largest retailers, Walmart holds a crucial position in the retail industry. This article conducts an analysis of Walmart's operational performance to gain an in-depth understanding of its competitive position in the global retail market and identify potential growth opportunities and challenges. Focusing on industry analysis, company strategy, and comprehensive financial performance analysis of Walmart, the study employs SWOT analysis, value chain analysis, and Porter's Five Forces model to dissect Walmart's strategic and asset composition changes, shedding light on its profitability. While Walmart has consistently experienced revenue growth, it faces challenges in maintaining profitability. The debt-to-equity ratio displays a positive trend, indicating a balanced capital structure. However, the liquidity ratio has slightly decreased, warranting attention. The article recommends optimizing inventory management, strengthening digital marketing efforts, and prudently managing long-term debt to enhance Walmart's financial performance and competitive advantage. This article conducts a study of Walmart's operational performance within the retail industry, aiming to provide insights and support for investors and decision-makers in making strategic choices.

The Profit Pattern and Financial Impact of NetEase Cloud Music's Marketing Strategy

With the rise of short video platforms and the onset of the post-copyright era, the digital music industry is undergoing significant transformations. The competition within the industry has intensified, while user growth and conversion to paying users have encountered obstacles. As a leader in China's digital music industry, it is worth exploring how to overcome these challenges and identify new areas for growth. This paper employs literature research, case analysis, data analysis, and other research methods. Firstly, it analyzes NetEase Cloud Music's profit model based on subscription payments, advertising revenue, and sales of virtual items outlined in its prospectus. Secondly, it utilizes authoritative industry research reports to analyze NetEase Cloud Music's user positioning, consumer profile, and partnerships, simultaneously examining their marketing strategy through a case study involving Hangzhou Metro's collaboration with NetEase Cloud Music, known as "Reviews Train." By analyzing structural changes in financial data disclosed in annual performance announcements, this paper examines the impact of marketing strategies on revenue growth, cost control measures, and profitability, as well as explores how adopting diversified market strategies can enhance risk management capabilities and improve financial stability. Finally, this paper presents corresponding countermeasures and suggestions based on identified issues from previous analyses along with future prospects.

Mahindra and Mahindra Financial Services Ltd– A Case Study

Purpose: This paper is about the organizational analysis of Mahindra and Mahindra Financial Services Ltd [MMFSL]. There are investment products with moderate returns and relatively minimal risk. Numerous public sector banks, private sector banks, non-banking financial companies, and other financial organizations provide these investing facilities. From the perspective of investors, this research offers a variety of details about Mahindra and Mahindra's financial services portfolio, the many goods and services they offer, as well as the steps a consumer must take. Design/Methodology/Approach: Companies that provide financial services set their goals, which may include things like customer satisfaction, market expansion, revenue growth, risk management, and regulatory compliance. To enable effective collaboration, decision-making, and accountability, a clear organizational structure is built. This entails evaluating consumer demand, researching the competition, and seeing chances for product innovation or difference. Findings/Result: Over the years, MMFSL's loan book and profitability have increased gradually. The company's financial success is influenced by several variables, such as interest rates, the general state of the economy, and the demand for automobiles and equipment. To lower risk and boost revenue streams, MMFSL has been seeking to diversify its business beyond car finance. They have grown to finance more asset classes like commercial vehicles, used cars, and construction equipment. To improve the convenience and accessibility of loan applications, approvals, and repayments, they have launched a few digital platforms and initiatives. Originality/Value: It primarily focuses on learning about organizations in-depth, including the responsibilities of the organization and competency mapping, to understand how well the firm is working and to examine its current competitors. The proposed work determines the company's liquidity condition. The SWOT analysis framework is used for evaluating the company's strengths, weaknesses, opportunities, and threats. Paper Type: Case Study.

PROFIT MANAGEMENT ASPECTS OF UKRAINIAN BANKS IN FINANCIAL UNCERTAINTY

In this article, we single out the main characteristics of the bank's profit and examine its constitutive elements as well as its sources of formation. It’s pointed out that profit management plays a key role if a bank is to operate successfully. We also suggest our definition of profit management in banking, its purpose, and its main objectives . The article provides a detailed analysis of the financial performance of Ukrainian banks in 2020-2022 and identifies the main factors that negatively affected the amount of profit in 2022. The main factor behind the decline in the profitability of domestic banks was a significant increase in provisions for losses incurred and expected because of the war. Despite the hardships of the war, the banking sector remains operationally efficient and continues to be profitable. The article states that under the current circumstances, it is rather difficult for banks to increase their activities, so the main factor in a bank’s profitability is cost reduction. However, the results of the analysis showed that in 2020-2022, revenues consistently exceeded expenses and during this period we noticed steady growth in bank revenues. The article analyzes the main indicators of profitability of the banking sector of Ukraine in 2020-2022. The main trends that have occurred over the past three years in the domestic financial market have both directly and indirectly affected the financial results of the Ukrainian banking system.

Обґрунтування заходів із мінімізації макрофіскальних ризиків в Україні

Introduction. Measures to minimize macro-fiscal risks in Ukraine are substantiated, based on the reduction of volatility of incomes formed as a result of the reproduction of the national economy, quality assurance of macroeconomic proportions. Problem Statement. Comparative analysis of reproductive processes in the national economy in the context of the formation of the system of gross and net income of consolidated national accounts with the application of economic and statistical methods of analysis.Justification of the results of comparative analysis to minimize macro-fiscal risks. Purpose. Justification of measures to minimize macro-financial risks in Ukraine based on the study of the formation of the income system in the national economy and the risks associated with them. Methods. The basis of the study was official statistical data - dynamic series of indicators of consolidated national accounts. The balance method and methods of economic and statistical analysis were used. Results. A system of indicators is proposed for statistical assessment of the volatility of the reproduction processes of the national economy. The formation of the income system and related risks for the economy of Ukraine and Germany has been studied. Measures to minimize macro-financial risks in Ukraine are substantiated. Comparative studies between countries on a single methodological basis made it possible to determine the strengths and weaknesses of the economic cycle of the compared countries, to identify the problems of economic reproduction. Conclusions. Minimization of macro-fiscal risks lies in the maintenance of macroeconomic proportions favourable to economic stability and economic growth, stability and consistency of revenue and expenditure items of the state budget.

Business Model Innovation to Optimize Revenue Growth in the B2C Sector of Research Service Providing Institution: Case Study at Nano Riset Indonesia

This research explores business model innovation at Nano Riset Indonesia NRI, a leader in nanotechnology research, focusing on enhancing revenue growth in the Business-to-Consumer (B2C) sector. The thesis presents an in-depth narrative of NRI’s business model, critically examining its internal operations and external market environment. Employing a holistic methodology, it blends quantitative and qualitative analyses, utilizing frameworks like VRIO, Porter’s Five Forces, and the Business Model Canvas to evaluate NRI’s position and identify areas for innovation. Key focuses include improving consumer value propositions and strengthening customer relationships, all while maintaining cost efficiency. Central to the thesis is a strategic vision for a reimagined business model, tailored to the unique demands of the B2C market. This proposed model aims to financial improvement but also to cultivate a sustainable business growth and adaptability in the dynamic field of research services.

Financial Harmony in Diversity: Exploring the Dynamics of SMEs' Finance through the Lens of Business Size, Debt-to-Equity Ratio, and Revenue Growth toward the Perfection of Net Profit Margin

This study aims to analyze the impact of three independent variables: business size, debt-to-equity ratio, and revenue growth on the net profit margin of SMEs. In its execution, the methodological approach is based on multiple linear regression analysis, while the data acquisition technique involves surveys of SMEs from various sub-sectors. The novelty of this research lies in its in-depth analytical approach to the relationship between financial variables and their impact on the net profit margin of SMEs. The findings of this study indicate that business size, debt-to-equity ratio, and revenue growth significantly affect the net profit margin. The practical implications of this research provide guidance for SMEs in managing their finances through an understanding of the net profit margin, enabling them to make more comprehensive financial decisions.

Consolidated Budgets of the Subjects of the Russian Federation in the First Half of 2023. Budget Risks are Increasing

The performance of the consolidated budgets of the subjects of the Russian Federation in the first half of this year was characterized by real growth rates of income taxreceipts and only nominal growth personal income tax receipts.The increase in federal transfer receipts was partly determined by the financing of the budgets of the new regions of the Russian Federation. In addition to the growth of economic activity, the dynamics of own revenues of regional budgets in the first half of the year was influenced by factors such as the cancellation of income tax payments within consolidated groups of taxpayers and the accelerated procedure for personal income tax reimbursement.The growth of expenditures of regional budgets lagged behind the growth of revenues, but significantly outpaced last year’s figures, which resulted in a reduction in the surplus of subfederal budgets compared to the previous year. The trend towards an increase in the volume of state and municipal debt has continued against the background of an increase in debt to the Ministry of Finance of the Russian Federation. The growth of public debt is taking place both in relatively prosperous regions and in problematic ones. The reduction in the volume of debt obligations by individual subjects of the Russian Federation cannot yet change the overall picture. The approved law on the federal budget for 2024 and subsequent years assumes a reduction in federal support for regional budgets against the background of an increase in spending needs and contains significant risks for the execution of sub-federal budgets.

Impact of tourism revenues and inflation on economic growth: An empirical study on GUAM countries

The aim of this study is to investigate the relationship between tourism income, consumer price index (CPI), and GDP per capita in Georgia, Ukraine, Azerbaijan, and Moldova (GUAM). The study covers annual data for the period 1995-2019. The method of long-run evaluation of the Pedroni cointegration coefficient was used as a research method. The results showed that, in general, growth in tourism revenues has a positive effect on GDP per capita, while the effect of CPI is negative. Along with this, it was found that the relationship of variables in the GUAM countries is different. In Georgia, there is a statistically significant long-run effect between GDP per capita, tourism income, and CPI. It is estimated that the growth of tourism income increases GDP per capita in all countries. However, the effect of the CPI on GDP per capita in Georgia and Azerbaijan is positive, but in Moldova and Ukraine, it is negative.

Marketing Audit as a Tool for Assessing Business Performance

The aim of this article is to determine an approach to the practical implementation of a marketing audit of business performance in a competitive environment. The aim will be achieved with the involvement of the following methods: trend, comparative and rating analyses, the BCG matrix, the Brand Health Tracking, and Delfi methods. As a result of the conducted research, an approach to conducting a marketing audit of business performance in a competitive environment with an emphasis on the use of modern digital platforms and web resources was proposed. The proposed approach to the implementation of a marketing audit of business performance in a competitive environment involved the use of the BCG matrix to determine the positions of the four leading confectionery companies of Ukraine in terms of revenue volume and growth, as well as the market share. The online presence analysis evaluated the online presence of the studied companies and to analyse other related indicators. The conducted analysis gave grounds to provide relevant recommendations. The importance of implementing each of them was determined with the help of the Delphi method. The obtained results can be applied in practice in the activities of companies in order to improve the approach to the implementation of marketing audit as a tool for assessing business performance in a competitive environment. Academic novelty is the developed comprehensive practical approach to the implementation of marketing audit as a tool for assessing business performance relative to competitors using modern digital platforms.

The development of firm size distribution – Evidence from four Central European countries

We have studied firm size distribution in selected Central European countries – known as The Visegrad Four (Czech Republic, Hungary, Poland, and Slovakia) – using total assets, equity and revenues, as size criteria. The aim of the article was to identify level of corporate disparity and its midterm development in 2017–2019. Using distribution analysis on a sample of 111,460 firms, we have found that log-normal distribution is more or equally suitable as power-law for particular countries, depending on size criterion. Moreover, in majority of cases, log-normal includes smaller firms into computation. While Hungarian firms recorded the highest intergroup disparity, distribution of Czech and Polish firms show higher intergroup equality, thus also a better level of competition. The midterm development, e.g., shows certain convergence of Czech Republic and Poland, as well as partial reduction of disparity for Hungary. Gibrat's Law is only confirmed partially for growth of revenues. The other size criteria do not apply, since smaller firms have grown faster than larger ones. In general, our results are not unequivocally robust against the used size criterion.

Factors that Influence Banking Performance in Indonesia

This research aims to examine the influence of ESG Score, NPL, Bank Size, Bank Capital, Liquidity Risk, Bank Liquidity, revenue growth, Bank Leverage, Economic Growth, Inflation, Diversification, Labor Productivity, and ESG Score Moderating on Bank performance, which is shown with the achievement of Return on Assets. The research sample used in this research is banks listed on the Indonesia Stock Exchange for the period 2018 to 2022. Data was taken from time series data which contains data from 2018 to 2022 for the independent variable and bank performance as the dependent variable. The research methodology used is Ordinary Least Squares using Eviews 12 software. The findings and contributions in this research are that ESG Score, Non-Performing Loans, Bank Leverage, Economic Growth, and Inflation influence bank performance. Meanwhile, Bank Size, Bank Capital, Liquidity Risk, Bank Liquidity, and revenue growth do not have a significant effect on changes in bank performance. Bank Leverage, Economic Growth, and Inflation have a positive and significant effect on changes in bank performance, while ESG Score and Non-Performing Loans have a negative and significant effect on changes in bank performance. Banks can take advantage of Bank Leverage, Economic Growth, and Inflation opportunities to improve their performance so that investors are interested in buying bank shares. Low and controlled Non-Performing Loans will increase banking profits, thereby improving the bank's performance. It is hoped that the results of this research can provide input for banks and investors to consider ESG Score, Non-Performing Loans, Bank Leverage, Economic Growth, and Inflation in managing their business and in making investment decisions.

Public land sales and the political cycle in China

This study analyzed the influence of the political cycle on public land transfer. In this paper, the Party Congress is taken as a political cycle, and we construct a model to discuss the relationship between public land sales and the political cycle. The empirical analysis is based on the land transfer panel data of prefecture-level cities from 2002 to 2018. The main results show that the land transfer area and land transfer income show a downward trend in the early stage of the Party Congress, while the land transfer area and land transfer income show an upward trend after the Party Congress. We believe that the political cycle has a significant impact on the supply of public land. The reason is that the political uncertainty in the early stage of the Party Congress is very high, and the impact of the land transfer on tax revenue and economic growth lags behind. Officials reduce the valuation of future income and thus reduce land transfer. As political uncertainty abated after the party congress, local officials joined the promotion race, offering land to attract investment and boost economic growth.

The real effect of shadow banking regulation: Evidence from China

I find a crackdown on shadow banking has real effects. For identification, I exploit a policy — the “New Regulations on Asset Management” (NRAM) — that restricts the issuance of wealth management products (WMP) in China. I show firms with high WMP exposure experience a decline in investments. The effects are pronounced for firms that are more profitable, have higher revenue growth, and are more financially constrained. Exploration of the possible channels of these effects shows a decline in the credit supply of banks that relied more on WMPs, driven by the fall in their shadow banking activities.

Unveiling the Impact: How Legislature Size Moderates Budget Forecast Errors

The Province of Aceh has recently gained attention as one of the poorest provinces in Indonesia. This situation is partly attributed to the failure to maximize the utilization of budget allocations, resulting in the loss of the intended benefits of the Regional Budget (APBD) for the public. Therefore, this research aims to investigate and analyze the influence of local revenue growth and expenditure growth on budget forecast errors, as well as the role of legislature size in moderating the relationship between local revenue growth and expenditure growth on budget forecast errors. The research employed a census method, covering the entire population, which consists of 23 regencies and cities in the Province of Aceh from 2018 to 2022. The study utilized Structural Equation Model-Partial Least Square (SEM-PLS) analysis with WarpPLS version 7.0. The findings indicate that local revenue growth has a positive impact on budget forecast errors, while expenditure growth has a negative impact. Furthermore, legislative size moderates the relationship between local revenue growth and expenditure growth concerning budget forecast errors. The study suggests that local governments should create clear and proportionate plans for regional revenue and expenditure budgets based on the region’s capacity. They should also optimize and expedite budget realization to ensure the implementation of all government programs and activities. Both local government leaders and the Regional People’s Representative Council (DPRD) also should establish comprehensive and transparent regional regulations regarding the DPRD’s Pokir proposal mechanism, from the planning process to accountability.

Examining Patterns of Tourism Recovery in the United Arab Emirates: Towards the Implementation of Effective Marketing Strategies

This study examines tourism recovery patterns in the United Arab Emirates (UAE). The study utilized time series modeling to evaluate the monthly tourism data from the Department of Culture and Tourism (DCT) in Abu Dhabi, covering 2019 to Q1 2023. The LJung box test was used to assess the fit of the dataset with the five tourism parameters: Average Length of Stay (ALOS), Number of Guests (NOG), Revenue Per Available Room (RevPAR), Occupancy Rate (OR), and Tourism Revenue (TR). The presence of nonstationarity was discovered, necessitating the use of data differencing to achieve stationarity.
 
 The results indicate that the model fits the data for the five tourism parameters. The study also reveals a significant decline in UAE tourism visitors, with a modest recovery projected in Q4 2021.The findings demonstrate a substantial decline in hotel occupancy rates (OR) during the COVID-19 pandemic, with a slower recovery rate expected for 2023-2024. The average length of stay (ALOS) in hotels is four nights from Q4 2020 to Q1 2022 and is expected to remain the same in 2023-2024. Revenue per available room (REVPAR) is expected to decline in Q1 2023 and peak in Q3 2023. However, projections for 2023 and 2024 show continued growth in tourism revenue (TR) in the UAE.

The Effectiveness of Financial Sustainability in Targeting Inflation, Nigeria as a Model for the Period 2004-2040

Creating a sovereign fund financed by Nigeria's oil surpluses is a significant objective. Rentier countries tend to see their current operating expenditures increase in tandem with oil revenue growth, surpassing the growth of the gross domestic product. This points to a structural deficit resulting from excessive spending. The government controls the money supply by managing the monetary base, which, in turn, is influenced by foreign reserves. Therefore, the study focused on assessing the effectiveness of fiscal policy tools and financial sustainability in addressing inflation. The goal is to predict these financial variables accurately until 2040 to safeguard monetary stability against fluctuations in oil prices. Utilizing the autoregressive model and moving averages (ARIMA), the study aims to address government spending growth, primarily driven by the monetization of oil revenues. This has led to a structural deficit within the Nigerian economy, which needs to be curbed by the effectiveness of the sovereign fund. This effectiveness is reflected in the concept of financial sustainability, with a focus on targeting inflation through what is known as nominal financial wealth. This translation of economic sustainability into tangible financial wealth does not adequately clarify the increase in non-oil output achieved through investment spending. The latter, in turn, results in actual growth in non-oil revenues, which is essential for addressing inflation through fiscal policy tools. In a rentier economy reliant on oil, achieving economic stability isn't assured solely by a balanced budget. It's crucial that public spending is managed with a level of independence from fluctuations in oil prices. The study's findings demonstrate the relative effectiveness of the financial sustainability forecasting model in influencing inflation targeting in the Nigerian economy.

Analisis Kinerja Keuangan Retribusi Pelayanan Parkir di Tepi Jalan Umum pada Pemerintah Kabupaten Sumedang Tahun Anggaran 2018-2022

Local Own-Source Revenue (PAD) is vital in the government's implementation in meeting its needs and services to society. One of the components of PAD is Local Retribution. Sumedang Regency has various local retributions, which various authorized agencies manage, and one of them is the parking retribution on the side of the public road. This research aims to determine and describe the financial performance of parking retribution on the side of the public road. This research uses descriptive research methods, with data collection techniques through documentation studies and interviews. The research results show that the average effectiveness ratio of parking retribution on the side of the public road in 2018-2022 is 64.23%, classified as ineffective. Meanwhile, the contribution made to PAD is only 0.17%, which is categorized as very low. However, the analysis of income growth from retribution is dominated by positive growth. In 2021 and 2022, revenue growth could reach 650% and 66%. There is a positive impact from the implementation of subscription parking.

How the Pennies Drop


 The introduction of a Goods and Services Tax (GST) in India in 2017 not only impacted the economy, but also altered the contours of fiscal federalism in India. Amongst other indicators, the steady growth of GST revenue has been a robust barometer of the success of the reform. This paper delves into the trends of GST collections to evaluate the efficacy of the reform to generate revenue. Subsequently, an attempt is made to answer the questions – what drives revenue growth, and are the collections, collection efficiencies, and buoyancy of collections better under GST as compared to the pre-GST period? This is done by examining GST collections while controlling for extraneous factors, such as inflation. Further, a novel mechanism for computing the collection rate of GST, using only publicly-available data is proposed. This has potential applications in revenue modelling, in analysis of trends across time and geographies, and for policy formulation. Rationalization of tax rates, structural efficiencies, widening of the tax base, and enhanced compliance are seen to contribute to the positive outcomes observed. In order to address the paucity of disaggregated data on enforcement in the public domain, the paper uses judicial data from District Level Courts to analyse spatial dimensions of GST enforcement. Overall, it is seen that GST has delivered on multiple fronts, including revenue growth, formalization of the economy, reduced rates of taxation, and creation of a more unified market. We also observe that post-GST tax buoyancy and collection efficiencies have shown significant improvement.

The Role of Artificial Intelligence (AI) and Data Analytics in Enhancing Guest Personalization in Hospitality

Purpose: The main objective of this study was to explore the role of Artificial Intelligence (AI) and data analytics in enhancing guest personalization.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings revealed that there exists a contextual and methodological gap relating to the role of Artificial Intelligence (AI) and data analytics in enhancing guest personalization. Preliminary empirical review revealed the significant potential of AI and data analytics in transforming the hospitality industry by enhancing guest personalization. By offering personalized experiences that align with individual preferences, hotels can not only improve guest satisfaction but also drive revenue growth and customer loyalty. However, it is imperative for the industry to navigate the ethical considerations associated with data privacy to ensure that the benefits of personalization are realized without compromising guest trust and privacy. The findings of this study provide valuable insights for hoteliers, service providers, and policymakers looking to harness the power of AI and data analytics to create exceptional guest experiences in the evolving landscape of hospitality.
 Unique Contribution to Theory, Practice and Policy: The Technology Acceptance Model (TAM), Service Quality theory and Customer Relationship Management theory (CRM) may be used to anchor future studies on Artificial Intelligence and data analytics in modern hospitality. This study recommended for investing in robust AI and data analytics infrastructure, gathering comprehensive guest data, implementing AI driven personalization algorithms, empowering staff with AI tools and continuously monitoring and adapting.