Sales Growth Rate Research Articles

Research on the Influencing Factors of High-quality Development of Export Enterprises

The Internet and big data have a profound impact on export enterprises, and their high-quality development is also facing unprecedented opportunities and challenges. This paper takes small and medium-sized enterprises of sales oriented export trade as the research sample, and uses the BP neural network model to conduct empirical research on the factors affecting the high-quality development of enterprises. Research conclusions: (1) A influencing factor system for high-quality development of export enterprises has been constructed, which includes 26 specific factors; (2) The factors in order of impacts: convenience of shopping operations, website content, comprehensive quality of employees, product awareness, consumer penetration rate, internationalization level, enterprise scale and reputation; (3) Factors such as overall employee quality, internationalization level, employee training system and effectiveness, network security, internationalization style of website design, convenience of shopping operations, sales growth rate of the enterprise, and profit growth rate do not have a direct, absolute positive relationship with the high-quality development of the enterprise.

Hybrid LSTM-GBRT based machine learning technique implementation for electric vehicle sales prediction analysis

ABSTRACT The investigation of machine learning models in Europe and India for predicting future sales of electric cars (EVs) worldwide has been the focus of present research. In this study, Long Short-Term Memory (LSTM), Support Vector Regression (SVR), Autoregressive Integrated Moving Average (ARIMA), Linear Regression, hybrid long- and short-term memory neural network model and gradient boosted regression trees model (LSTM-GBRT) models based machine learning techniques are compared for performance analysis to predict EV sales. Moreover, in this study, a hybrid LSTM-GBRT technique was developed, which forecasts EV sales, particularly for Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) over the next five years. During the prediction of EV sales, it has been validated that hybrid LSTM-GBRT technique has better predictive power. In addition, the present study attempts to provide estimated sales statistics for the designated locations. The results indicate that EV industry is evolving, with India showing a strong growth rate in BEV sales and establishing itself as a major participant in the global EV scenario by showing a notable increase in its share of worldwide EV sales volume by 2027. Conversely, the performance of EV sales in Europe has been analysed and validated through the proposed LSTM-GBRT model.

Corporate social initiatives and wealth creation for firms-an empirical examination

Purpose This study aims to examine whether social initiatives adopted by firms lead to improved financial performance. The authors analyse the impact of different elements of social initiatives on wealth creation for firms in terms of operating and market performance. Design/methodology/approach The study is based on the social initiative scores of over 4,500 firms collected from Thomson Reuters' ESG database. The study uses two-stage least squares (2SLS) to analyse the relationship between social initiatives and firm performance. Findings Profitable, mature, capital intensive and firms with high sales growth rate tend to invest more in social initiatives. Firms with high agency costs invest in social initiatives for workforce efficiency, maintaining human rights and product responsibility. The study documents evidence that social investments are value creating mechanism for firms which leads to improved financial performance in terms of operating and stock market performance. Firms with high dividend intensity invest in social initiatives for workforce welfare and human rights initiatives. Investment in employee well-being and community initiatives results in intangible benefits such as improved stock market valuation. Practical implications The research model has not considered the impact of intervening variables to understand the relationship between corporate social performance and corporate financial performance. Social implications Firms ought to recognize that social investment is beneficial in terms of value creation of firms as stock market perceive such investments favourably. Firms must focus more on community development initiatives and workforce initiatives for the value creation of firms compared to investments directed towards human rights initiatives and product responsibility initiatives. Originality/value This study focusses exclusively on the social dimension of the CSR activities. The authors examine the impact of social welfare scores on firm performance by analysing the valuation effects on scores representing workforce, human rights, community and product responsibility. Moreover, the paper also examines the impact of a new dimension of product responsibility on firm performance. They also focus on both aspects of financial performance in terms of operating performance (proxied by ROE) and the joint impact of both operating and market performance (proxied by Tobin’s Q). This paper contributes to the research on the linkage of social performance to financial performance by observing that firms with high agency cost characteristics tend to invest in social initiatives for work force efficiency, maintaining human rights and product responsibility.

Measuring the Company’s Capabilities and Assessing their Impact on Its Economic Results: Analytic Tools

With the increasing uncertainty of the external environment, the capabilities of companies become the driving force behind their operations and development, making the management of these capabilities an important task for management. The aim of the research is to develop a toolkit for measuring a company’s capabilities, assessing their condition, and evaluating their impact on productivity. The author’s concept is presented, according to which the final results of the company’s activity are formed through the mechanism of interaction of the company’s organizational capability with acquired resources, the formation of resource capabilities (production, financial, labor, and market) and their transformation into tangible and intangible products. Based on this model, methodological guidelines have been developed for measuring the capabilities of organizations and assessing their impact on the final results, a value-functional approach to selecting appropriate indicators, and analytical tools. The following methods have been substantiated: modeling, the indicator method, data convolution, scaling, and statistical methods. To measure capabilities, it is proposed to use indicators aggregated into composite indices through a developed algorithm. The use of sales growth rate, market capitalization, profit before taxes, and net cash flow as the final results of the company (productivity indicators) has been justified. To solve analytical tasks at different levels of management, combinations of methods, tools and indicators called “research formats” (detailed, diagnostic, express diagnostic analysis) were developed. The results of the empirical testing of the author’s research are presented: through detailed analysis, the validity of the proposed approach and tools has been established, and through diagnostic analysis, the stability of the selected indicators and constructed mathematical models beyond the observation period was identified. The result is a toolkit for researching crucial company’s capabilities, enabling management to analyze and monitor these capabilities, assess their productivity, make forecasts of productivity indicators, and develop a system for managing the organization’s capabilities.

Factors Determining The Capital Structure of Banking Companies Listed On The Indonesian Stock Exchange

This study aims to determine the effect of Return on Asset (ROA), Sales Growth, Liquidity and Company Size on the capital structure of the banking industry listed on the Indonesia Stock Exchange in 2019-2023. This study uses secunter data with panel data regression as an analysis tool and data processing assistance with Eviews. The results of hypothesis testing show that ROA has no significant effect on capital structure, that companies that use relatively small debt have a high rate of return on investment. Sales growth does not have a significant effect on the mode structure, where companies that have a high potential sales growth rate will tend to generate greater cash flow so that the company will ultimately rely more on internal funding. Liquidity has a significant effect on the capital structure, where if the greater the liquidity, the greater the capital structure and if the smaller the liquidity, the smaller the capital structure. The size of the company does not have a significant effect on the capital structure, this can be interpreted that the size of a company does not affect the capital structure of the Company. The results of this study are also expected to be a reference for future research to increase the number of research variables and increase the number of research populations in various sectors and increase the research period.

The effect of labor mobility on corporate investment and performance over the business cycle

We show that time-series variation in investment opportunities and labor demand create heterogeneity in the effects of labor mobility on corporate investment over the business cycle. To isolate variation in labor mobility, we create an annual state-level index from 1984 through 2017 that captures the degree to which state courts enforce covenants not to compete. We find that firms located in more mobile labor markets increase investment rates more during economic expansions but have similar investment rates during periods of low or negative growth. This increased investment during expansions is greater for firms that rely more on recruiting skilled and experienced workers to grow their businesses, and it translates into higher sales growth rates, profits, and valuations. Overall, our results suggest that the benefits of being able to recruit qualified workers with relevant experience during expansions outweigh the costs associated with losing key workers.

DETERMINANTS OF PROFITABILITY OF FOOD ENTERPRISES FROM THE TERRITORY OF THE REPUBLIC OF SERBIA

This paper aims to identify, evaluate, and analyze determinants of the profitability of food enterprises from the Republic of Serbia. The paper determines the nature of the relationship between defined determinants and profitability by applying a panel regression model on a sample of 189 small, medium, and large food enterprises from Serbia in the period from 2011 to 2021. The analysis results showed that the profitability of food enterprises is positively influenced by liquidity and sales growth rate. On the other hand, the indebtedness, size, and materiality of assets have a negative impact on the profitability of food enterprises. Of all analyzed variables, only liquidity does not affect profitability at a statistically significant level. The results of the analysis should be added to the fact that smaller food enterprises, with a lower degree of indebtedness and a smaller share of fixed in total assets, achieve a higher degree of profitability.

Prospects and challenges in logistics management of international companies

Inventory management models are aimed at establishing optimal batch sizes of resources that will be subsequently used in the production process. The author believes that the use of this model makes it possible to set order sizes not «manually» by employees of the supply department, but rely on an optimization economic and mathematical model. Considering that these calculations are given only for one item of purchased inventory items, we can conclude that expanding the use of this approach to other types of purchased parts and raw materials will contribute to greater savings in financial resources. The option proposed in the article helps to save the Company's expenses on the type of inventory under consideration by $244,4 per year compared to the original option (or by 1,3 %). Minimizing overall transportation costs will depend on optimal vehicle loading. Optimal loading of vehicles will minimize the number of vehicles involved in transportation, and therefore reduce the overall costs of delivering products to customers. The results of the work can be used to improve the Company's inventory management, as well as to solve problems of transport support for entering a new market (transport routing). The combination of ABC and XYZ analyzes will make it possible to have a visual representation of all inventories in the Company’s warehouse through the formation of standard groups of inventories, in relation to each of which the inventory management policy will be different. Considering the steady growth rate of the company's sales, the author recommends expanding the sales network by entering new markets, which could be, for example, regions of the Russian Federation.

기술투자 중소기업과 일반 중소기업의 재무성과 비교분석

This study is based on the technology appraisal for investment from 2016 to 2019, and after the appraisal of technology-invested SMEs (TI1~TI6) and general SMEs, the three-year financial performance (growth potential / profitability) was analyzed ex post from the perspective of operating an appraisal model. In terms of financial performance, growth potential was defined as the sales growth rate, and profitability was defined as the operating profit rate. Propensity score matching was used to select general SMEs similar to technology-invested SMEs, and a total of 3,264 SMEs were used in the analysis. As a result of the analysis, it was confirmed that the growth potential (sales growth rate) of technology-invested SMEs was significantly higher than that of general SMEs in all three points in time and the average sales growth rate after the appraisal year. However, in the case of profitability (operating profit rate), it was confirmed that the difference between technology-invested SMEs and general SMEs was not significant at all three points in time and average operating profit rate after the appraisal year. Therefore, the conclusion was drawn that the technology appraisal model for investment, designed with the goal of predicting the future growth potential of SMEs, is being operated appropriately from an ex post perspective.

Effective Market Segmentation and Targeting Approaches for Distributors of Industrial Supplies in the Cement Sector

This study investigates effective market segmentation and targeting approaches for distributors of industrial supplies in the cement sector. The analysis begins with segmenting the cement industry into distinct categories based on three primary factors: geographical location, company size, and production capacity. By examining these segments, the research aims to identify and understand the specific needs, preferences, and purchasing behaviors of various customer groups within the cement sector. Tailoring marketing strategies to address these unique characteristics is crucial for enhancing customer engagement and satisfaction. The study also emphasizes the importance of evaluating the success of current segmentation and targeting efforts. This evaluation is conducted using key performance indicators (KPIs) such as sales growth, customer acquisition, and retention rates. These KPIs provide measurable insights into the effectiveness of the implemented strategies. Through this comprehensive analysis, the research aims to provide actionable recommendations for distributors, enabling them to refine their marketing approaches. By aligning marketing efforts with the distinct characteristics of different market segments, distributors can achieve improved market penetration, customer loyalty, and overall business performance in the cement sector.

Effective Market Segmentation and Targeting Approaches for Distributors of Industrial Supplies in the Cement Sector

This study investigates effective market segmentation and targeting approaches for distributors of industrial supplies in the cement sector. The analysis begins with segmenting the cement industry into distinct categories based on three primary factors: geographical location, company size, and production capacity. By examining these segments, the research aims to identify and understand the specific needs, preferences, and purchasing behaviors of various customer groups within the cement sector. Tailoring marketing strategies to address these unique characteristics is crucial for enhancing customer engagement and satisfaction. The study also emphasizes the importance of evaluating the success of current segmentation and targeting efforts. This evaluation is conducted using key performance indicators (KPIs) such as sales growth, customer acquisition, and retention rates. These KPIs provide measurable insights into the effectiveness of the implemented strategies. Through this comprehensive analysis, the research aims to provide actionable recommendations for distributors, enabling them to refine their marketing approaches. By aligning marketing efforts with the distinct characteristics of different market segments, distributors can achieve improved market penetration, customer loyalty, and overall business performance in the cement sector.

Imitation behavior in environmental, social, and governance disclosure: Textual analysis evidence from Chinese listed enterprises

AbstractThe era of sustainable transformation has witnessed an increase in corporate environmental, social, and governance (ESG) disclosure waves. Using Chinese A‐share listed companies from 2016 to 2021 as a sample, this study adopted textual analysis and machine‐learning techniques to analyze ESG reports and explore the imitation behavior of ESG disclosures in emerging Chinese markets for the first time. The results show imitation behavior exists in corporate ESG disclosures from the perspective of group association. Regarding the imitation object, enterprises tend to choose the peer average level as a reference rather than the best enterprise in the same industry, which reveals the inherent law that enterprises' ESG disclosures are satisfied with compliance rather than championship. In terms of effects, the ESG‐mimetic isomorphic pressure has no incremental information effect but has an efficiency optimization effect. Furthermore, the imitation intensity and impact effects of ESG disclosure behavior exhibit heterogeneity owing to differences in properties, sales growth rates, and external attention. This study expands the motivation for corporate ESG disclosure behavior and enriches the empirical evidence for institutional isomorphism.

Exploring the investment value of retail sales growth: Evidence from the China Retailer Alliance

This study investigates the investment value of retail sales growth using a unique dataset obtained from the China Ants Alliance, a retailer alliance in China. Leveraging this dataset, we construct a weekly retail sales growth rate index (SG) and draw significant conclusions about consumer-oriented firms. The hedge portfolios constructed based on this index earn a 0.206% excess weekly return. The predictability of the returns from the index persists after controlling for various firm characteristics. Sales growth also positively predicts firms’ fundamentals, such as revenue growth and cash flow surprises, highlighting the investment value of retail sales in predicting future cash flows and a firm’s revenue. Overall, we enrich the literature on consumer behavior information and stock pricing. We further expand the exploration of the investment value of nonfinancial information and provide a valuable reference for investors and the capital market.

Impacts of anti-dumping duties on firm’s performance: Evidence from listed firms in seafood industry in Vietnam

The study aims to examine the impact of the anti-dumping tax imposed by the United States under the simultaneous influence of financial factors on the performance of enterprises in the seafood export industry. The author selected data including 21 companies listed on the Vietnamese stock market in the period 2017 - 2022, and used GMM estimation technique to retest the influence of familiar factors such as lag of the firm’s performance, size, leverage, liquidity ratio, sales growth rate to the firm’s performance (measured by ROA), in addition, the paper also provides additional evidence on the impact of new factors: anti-dumping tax and export sales ratio. Research results show that (1) 6 out of 7 independent variables including , Size, Liq, g, ADr, Exp.re / Tot.re are statistically significant, (2) anti-dumping tax rate and geographic revenue structure are both recorded negative impacts on performance. The results of this study contribute academically by providing a new insight into the relationship between revenue and profit in the case of exporting to countries that apply anti-dumping tax and contribute practically by proposing some implications for foreign trade policy and corporate financial management strategy.

ANALISIS DETERMINAN TAX AVOIDANCE PADA PERUSAHAAN SEKTOR PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PADA TAHUN 2018-2022

This study will look at how business age, size, profitability, and sales growth affect tax avoidance in the property and real estate sector firms listed on the Indonesia Stock Exchange (IDX) in the years 2018 through 2022. The population of the research consisted of all companies in the real estate and property industries that were listed on IDX between 2018 and 2022. The sample for this inquiry was gathered through intentional sampling. Based on the predefined criteria, 43 firms qualified, resulting in 215 data being collected, which served as the sample for this study. Websites for connected companies and the IDX were used as data sources. To examine the impact of each variable on tax evasion, the data was processed using the SPSS v.26 programme and analysed using multiple regression models. The findings indicated that a company's age, size, profitability, and rate of sales growth all had an impact on tax avoidance. Profitability and corporate size have some influence on tax avoidance. Despite the fact that firm age and sales growth have little bearing on tax avoidance.

Role of Parasocial Interaction and Credibility in Beauty Influencer to Improve Purchase Intention

Beauty brand owners are trying to increase the sales growth rate, which has been unstable due to the COVID-19 pandemic. This study explores the intention to purchase beauty products through the role of beauty influencers by examining parasocial interaction and credibility factors. Eight hypotheses were tested and analyzed using a structural equation model. The study showed that parasocial interaction and credibility positively impact purchase intention. Meanwhile, only social attractiveness influences parasocial interaction, while physical and social attractiveness affects credibility.

Innovation Persistence and Firm Growth: Do They Go Hand in Hand?

AbstractThis study empirically examines the relationship between persistence in innovation and firm growth in Spanish manufacturing firms during the period 2005–2016. We include a number of input and output indicators for innovation persistence (R&D, product and process innovation, and patent filings) and use the changes in firms’ annual sales as a measure of firm growth. Differences in how innovation persistence affects firm growth are also explored for the subsets of small and large firms. We employ conditioned quantile regression (CQR) models to see how innovation persistence affects firms located at different quantiles of the firm growth distribution and unconditional quantile regression (UQR) which allow us to compare similar firms in terms of their propensity to innovate on a persistent basis. Our findings are sensitive to the choice of econometric approach. Overall, results indicate that the type of innovation persistence does influence growth. Persistence in R&D activities does not play any relevant role whereas persistence in innovation outputs (product, process, and patents) is a driver for growth only in firms with medium-to-low sales growth rates.

Enhancing bank marketing strategies with ensemble learning: Empirical analysis.

In order to enhance market share and competitiveness, large banks are increasingly focusing on promoting marketing strategies. However, the traditional bank marketing strategy often leads to the homogenization of customer demand, making it challenging to distinguish among various products. To address this issue, this paper presents a customer demand learning model based on financial datasets and optimizes the distribution model of bank big data channels through induction to rectify the imbalance in bank customer transaction data. By comparing the prediction models of random forest model and support vector machine (SVM), this paper analyzes the ability of the prediction model based on ensemble learning to significantly enhance the market segmentation of e-commerce banks. The empirical results reveal that the accuracy of random forest model reaches 92%, while the accuracy of SVM model reaches 87%. This indicates that the ensemble learning model has higher accuracy and forecasting ability than the single model. It enables the bank marketing system to implement targeted marketing, effectively maintain the relationship between customers and banks, and significantly improve the success probability of product marketing. Meanwhile, the marketing model based on ensemble learning has achieved a sales growth rate of 20% and improved customer satisfaction by 30%. This demonstrates that the implementation of the ensemble learning model has also significantly elevated the overall marketing level of bank e-commerce services. Therefore, this paper offers valuable academic guidance for bank marketing decision-making and holds important academic and practical significance in predicting bank customer demand and optimizing product marketing strategy.

Performance analysis of promotion programs of the smart factory using propensity score matching

This study aims to demonstrate the effectiveness of government-funded programs supporting the construction of smart factories. In the analysis of performance, a challenge arises as simple statistical techniques often fail to address the issue of ‘selection bias’ when assessing the business performance of companies that engaged in a specific promotional program versus those that did not. In this study, we utilized the propensity score matching (PSM) technique to measure the business performance of participating companies based on the counterfactual of not participating. It compares them to companies that did not participate in the program but have similar attributes. We conducted a comparative analysis of business performance between two provinces in the Republic of Korea. The findings indicated that participation in the promotion program had a positive impact on the compound annual growth rate of sales during the study period. This suggests that companies involved in the program exhibited enhanced business performance compared to their non-participating counterparts. The insights gained from this study will be instrumental in shaping policies for forthcoming follow-up initiatives.

FORMATION OF ECONOMIC SECURITY OF SMALL AND MEDIUM-SIZED ENTERPRISES IN THE STATE ECONOMIC SECURITY SYSTEM

The economic security of small and medium-sized enterprises is an important component of the economic security of the state and reflects the causal relationship between the military and economic potential and national security and economic power of the country. The goal of the article is to identify the problems in forming the economic security of small and medium-sized businesses within the framework of the country's economic security. It aims to develop guidelines for overcoming the complex socio-economic situation, shaping the economic security of Ukraine, and promoting the interests of small and medium enterprises (SMEs). Ukraine needs a well-thought-out policy to ensure the security of economic activity both at the state level and at the level of small and medium-sized businesses. The number of small businesses in Ukraine has been steadily declining over 2015-2022, which is a dangerous trend. At the same time, this situation did not affect sales volumes, as the growth rate of sales by small and medium-sized enterprises in 2022 continues to grow. This is due to the following factors: increased domestic demand for goods and services produced by SMEs, financial support, tax breaks in 2022, and other measures, a decrease in the share of large industry, and an increase in the share of small and medium-sized businesses. The problems of forming the economic security of the state and the economic security of small and medium-sized businesses have been identified. Guidelines for overcoming the difficult socio-economic situation and shaping the economic security of Ukraine and small and medium-sized enterprises have been developed. In order to protect the economic interests of the state, a certain set of measures and mechanisms for representatives of small and medium-sized enterprises is needed, especially in the case of developing solutions. To strengthen economic security, it is necessary to apply a strategy of adaptation to constantly emerging threats, which is largely complicated by the lack of a comprehensive policy in this area and the weakness of public administration. The main priority of the authorities in ensuring the economic security of the state and small and medium-sized enterprises in the future should be to reform the system of state regulation of socio-economic processes, to create an effective environment for the development of small and medium-sized enterprises in Ukraine.