Amount Of Sales Research Articles

A synergetic vision of advertising as stimuli to enhance sales

The advertising world has been always concerned looking for the relationship between TV advertising spending and the sales amount of advertised products, particularly mass consumer goods (edibles) and automobiles. The measures was the relationship between advertising pressure in terms of GRP's and notoriety be spontaneous or suggested recall, which was supposed to be translated into sales later, but the consumer needed to have the product available on the shelf. Retain sales are controlled at brand/item level but ads are usually linked to brands. Sinergetics through a model used to explain the Formation of Public Opinion offers a platform to link group attractiveness by TV investment with product sales. We checked it for a narrow market as the colas reversing the reasoning. If the system forecast two groups of opinion that we assimilate to sales how much of the TV advertising expenditure can be correlated. More than 70%.

Gaining From Losing a Competition in Product Variety

This article studies the impact of a competing firm's substantial expansion in product variety, achieved through modularity and delayed differentiation, on the sales and inventory of the focal firm in the market. Intuitively, the firm's sales are expected to decrease when a competitor increases its product variety, as existing consumers are drawn to the greater range of competing products, resulting in a substitution effect. However, we also emphasize a simultaneous spillover effect, where the dramatic increase in a competitor's product variety can expand the overall market for all firms (including the focal firm) by attracting new consumers to the market. The net impact thus depends on the tradeoff between the substitution effect and spillover effect, forming an empirical question. To explore this tradeoff and quantify the net impact of a competitor's substantial increase in product variety on the focal firm's sales and inventory, we exploit the launch of Coca-Cola's Freestyle dispenser that offers over 120 beverage products via modularity and delayed differentiation. Our analysis focuses on the treatment effects of the launch of Freestyle on changes in the focal firm's sales quantity, sales dispersion, and inventory levels. Contrary to common intuition, we find that the focal firm's total sales remain unchanged following the launch of Freestyle dispensers, but its sales dispersion increases by 2.2%, which in turn leads to a 1.0% increase in inventory levels at distribution centers. The unchanged total sales and increased sales dispersion imply a redistribution of sales among the focal firm's stock keeping units (SKUs). By analyzing data at the SKU level and the business customer level, we uncover the mechanism behind this sales re-allocation: a 1.9% increase in the sales of the focal firm's long-tail products at the expense of its star product sales. Meanwhile, we identify a 0.9% increase in sales to retailers and entertainment locations, while sales to restaurants decline. These empirical results help disentangle the substitution and spillover effects on the focal firm's sales resulting from its competitor's substantially increased product variety. Managerial implications derived from these findings are discussed.

Break Even Point Analysis As A Tool For Msmes Profit Planning In Sumber Jaya Sub - Distric, Bengkulu City

MSMEs in the Sumber Jaya sub-district generally micro-enterprises engaged in the fisheries sector, and a small proportion in the trade sector. In managing a business, generally MSMEs actors do not have knowledge of how to develop a business, increase sales and increase profits or profits, they only rely on intuition and technical knowledge from generation to generation. MSMEs actors only see that their businesses are running normally, but actually do not experience development. This can be seen from the quantity of sales and the number of workers that have not increased. Based on these conditions, there is a need for basic training related to profit planning from the businesses they manage. With the knowledge of profit planning, micro business actors in Sumber Jaya village are expected to develop their businesses.

Analisis Break Even Point Sebagai Alat Perencanaan Laba Jangka Pendek Pada CV Wana Jaya Lestari Palembang

With the use of this final study, the corporation hopes to boost earnings by determining the CV Wana Jaya Lestari Palembang sales fall safety limits and break-even point. A business called CV Wana Jaya Lestari Palembang deals in the acquisition, planting, and distribution of different plant species as well as the restoration of protected forests and river basins. In order to design the desired profit for the 2023 period, it is necessary to determine the amount of sales that must be attained, categorize fixed expenses and variable costs, and determine the BEP level for areca nut and rubber seeds in 2021 and 2022. expenses associated with expenses are classified as a consequence. Before studying the Break Event Point, fixed and variable expenses are crucial. The organization has demonstrated its ability to generate sales beyond the minimal sales threshold by utilizing the BEP calculation and analysis approach. This may be demonstrated by looking at the margin of safety, which indicates that there is a good gap between revenues and the breakeven point for the business.

The impact of public policies on China’s new energy vehicles from the perspective of institutional economics

With the development of the economy and the enhancement of environmental awareness, new energy vehicles have become a new choice for many consumers. As one of the most developed countries in new energy vehicles, China cannot do without government financial support. In order to promote the development of China’s new energy vehicle industry, the government has introduced a series of support policies, including financial subsidies. This article conducts an empirical analysis of the development of new energy vehicles in China from the perspective of the impact of institutional economics on public policy. It is concluded that this article uses a time series model to analyze the relationship between the amount of state subsidies and sales, the number of patent applications, and the number of charging piles from 2011 to 2021. The research results show that state subsidies have a significant impact on the number of new energy vehicle patent applications. Positive promotion effect. The impact of state subsidies on sales is not significant.

Modeling of Capacity Factor in Rembang Coal-Fired Steam Power Plant Using Regression Modelin

Coal-Fired Steam Power Plant (PLTU) Rembang is an important power plant in the Central Java electricity system. Like other coal-fired steam power plants, fuel cost is the most significant expense when operating the PLTU Rembang. During the 2019-2021 period, the average fuel cost was 73.88% of total costs. One of the ways to reduce fuel costs is by improving the accuracy of fuel demand planning. Fuel procurement planning is very dependent on the projected amount of electricity sales from power plant, which is largely determined by the power plant's Capacity Factor (CF). However, PLTU Rembang does not have any CF prediction modeling. This research developed and compared four prediction models: random forest regression, support vector regression, multiple polynomial regression, and multiple linear regression. Based on the comparison of validation from the four prediction model with MAPE and R-squared parameters, the multiple linear regression models is the best model, with the lowest MAPE of 7.83% and the highest R-squared of 0.8814. This multiple linear regression model can be used to predict the CF of PLTU Rembang in the future so that fuel demand planning is more accurate.

The optimal design of differentiated subsidy policies for new energy vehicle firms by considering the difference in market share and endurance mileage

To promote the development of the new energy vehicle industry, China has introduced many subsidy policies. Existing policies rarely consider the difference in market share of new energy vehicle enterprises, but the difference in market share will directly affect consumer demand, and then affect the development of the new energy vehicle industry. Therefore, we consider the difference of the market share and endurance of the new energy vehicle firms at the same time, establishing a Stackelberg model and considering three most common subsidy forms, which are quantity-based subsidies, price-based subsidies, and endurance-based subsidies to derive the optimal differentiated subsidies of the government. The analysis of this paper shows that for the new energy vehicle firms with different market share and endurance, differentiated subsidies can achieve higher social welfare. In addition, for any subsidy form of the sale-based subsidies, price-based subsidies, and endurance-based subsidies, the final cost for consumers will be reduced, and the total sales quantity of the new energy vehicles in the market will increase, but the profits of firms and the sales quantity of one firm could increase or decrease. Lastly, under the assumption of this paper, the optimal price of both firms and social welfare are the same under the three aforementioned subsidy forms.

Blockchain Adoption and Organic Subsidy in an Agricultural Supply Chain Considering Market Segmentation

The quality authenticity of organic agricultural products has always been a hot issue for consumers. Blockchain’s advantages in information traceability and preventing data from being tampered with can reduce fake and counterfeit products, increasing the consumers’ trust in the quality of organic agricultural products. Considering market segmentation of consumer types in organic agricultural products (OPs) and conventional agricultural products (CPs), this study builds a game-theoretical model to explore how participants decide between blockchain traceability platforms and organic subsidy strategies. Results show that the producer should introduce the blockchain when the fraction of blockchain technology’s total cost shared by the producer is smaller and the fixed cost of implementing blockchain is higher or when the fraction of blockchain technology’s total cost shared by the producer is higher and the fixed cost of implementing blockchain is lower. The retailer is inclined to an organic subsidy, and the smaller the market proportion of undifferentiated-conscious consumers (UCCs), the more inclined the retailer is to the organic subsidy strategy. In addition, the market share of UCCs positively promotes the sales quantities and supply chain profits of CPs but is not conducive to the sales quantities of OPs.

Estimating the effects of E-cigarette taxes: a generalized synthetic control approach

ABSTRACT We examine the effects of e-cigarette tax policies on the sales quantities, prices, and sales revenues of e-cigarettes, cigarettes, and smoking cessation products (SCP). The data we use is weekly purchases from Nielsen Retail Scanner Data between 2011 and 2017. With a generalized synthetic control (GSC) identification strategy, we measure the average tax effects of multiple treated regions in various treated periods against the untreated control regions and the untreated periods. We reach an estimate of −3.567 for the own-price elasticity of e-cigarette demand and an estimate of 0.433 for the pass-through rate of e-cigarette taxes to price in all treated regions. Our results indicate that cigarettes and SCP are substitutes for e-cigarettes. We also discover that e-cigarette taxes show heterogeneous effects under different policy motivations, with the ad valorem taxes having a larger impact on e-cigarette demand.

Social Media Changes the Market Based on Marketing

The primary goal of this essay is to examine the effects of social media's ongoing development on the market against the backdrop of the explosive growth of MLM-based information. It focuses on comparing the success of the early traditional e-commerce online shopping media "Amazon" and "Taobao" and the success of the modern e-commerce online shopping media "TikTok." By analyzing the operation mode of "Taobao" and "TikTok" and comparing the changes of user data and transaction amount. It can be concluded that users will constantly put forward new needs with the continuous update of technology, and social media will constantly solve the needs of customers to update. This update will continue to maintain and enhance the convenience offered by social media online shopping, and continue to attract new users. From the perspective of marketing, social media constantly solves the needs of consumers and provides interactivity, which makes people more willing to purchase and evaluate products and feedback merchants through social media. For merchants, studying such topics can quickly find and use social media more in line with consumer needs to "interact" and increase their sales channels and quantity.

PENDAMPINGAN LEGALITAS USAHA UNTUK MENINGKATKAN KUALITAS DAN KUANTITAS PENJUALAN UMKM SIKEYYAN DI DESA BEGED, KECAMATAN GAYAM, KABUPATEN BOJONEGORO

Sikeyyan is a Micro, Small and Medium Enterprise in Beged Village, Gayam District, Bojonegoro Regency. These Micro, Small and Medium Enterprises do not yet have business legality in general in the form of NIB, PIRT, trademarks and halal certificates. This is what makes intestinal chips products not very well known among the public. From this problem, we aim to provide assistance on the legality aspect of business by providing facilitation and guidance regarding the requirements in managing business legality that must be owned by business actors. The method used in assisting business legality is PAR (Participatory Action Research). PAR has three words that are always related to one another, namely participation, research, and action. All research must be implemented in action. PAR-based research is designed to examine something in order to change and make improvements to it. This assistance provides thebenefit of increasing the quality and quantity of sales of Sikeyyan MSME.

Merchandise replenishment and pricing decisions based on time series model forecasting and log-linear analysis with split logarithms

In this paper, in the process of researching the replenishment and pricing decisions of vegetable products, we use the Spearman model and log-linear analysis with logarithms to determine the correlation between individual vegetable products and categories, and analyze the relationship between the total amount of sales of each vegetable category and the cost-plus pricing, and then build a time-series model to fit the prediction to get the daily replenishment and pricing strategy for the coming week. Then a time series model is fitted to predict the daily replenishment and pricing strategy for the coming week. In this paper, based on the model of Spearman's correlation coefficient calculation, we set up a log-linear analysis model with logarithmic scores, and use MATLAB to calculate the correlation coefficients of each type of vegetables, and find that the total sales volume of each type of vegetables has a strong correlation with the cost-plus pricing and a high degree of fit. Then we establish ARIMA model in time series model to fit the time with the sales volume, cost and pricing of vegetables respectively, and predict the sales volume, cost- and cost-plus pricing in the coming week after passing the white noise test to get the total daily replenishment and pricing strategy.

The Dilemma and Way Out of Real Estate Groups under Covid-19

In retrospect, the Covid-19 hit the global economic hard. As a core industry, real estate also experienced a terrible loss. This paper is aimed to reflect the practical situation affected by the epidemic, taking two typical enterprises as examples on behalf of the whole real estate industry to provide relevant ex-perience in case that if the similar emergency happens in the future. By recit-ing some essential statistics (asset-liability ratio and EBITDA etc.) during 2019 to 2022 and analyzing the fluctuations, it is obvious that this epidemic caused a big shock to these companies. The sales amount and investment de-clined considerably, leading to a fall in companies gross profit and equity. Apart from that, the cash flow also suffered some influences for the delayed inflow, adding risk to the debt structure. Other factors like the shortage of materials and blocked expansion as well as land acquisition also contributed to the dilemma. The business conditions in three four years were not very promising. The companies should adopt effective measures in terms of funds management, shareholding structure, financing structure and inventory supervision.

EMPOWERMENT OF FISH PROCESSING AND MARKETING GROUPS IN THE CITY OF TOMOHON THROUGH ASSISTANCE WITH PRODUCT PACKAGING USING ENGLISH AND OTHER FOREIGN LANGUAGES

The community service activity aims to enhance the fish processing and marketing groups (Poklahsar) in the city of Tomohon, North Sulawesi. Tomohon is known for its cool and beautiful natural conditions and has traditional markets that serve as local shopping centers. This facilitates fish cultivators to sell their products locally, including through digital platforms like WhatsApp Business and Instagram. Despite local success, the marketing is still limited to the local scale, evident in packaging using local and Indonesian languages. To overcome this, the community service involves providing training, particularly in English, Japanese, and German, to the fish processing groups. English, being an international language, will be introduced for product descriptions on packaging and digital media. The goal is to enable Poklahsar in Tomohon to increase sales quantity and expand their market internationally.

Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks.

Many e-commerce platforms, such as AliExpress, run major promotion campaigns regularly. Before such a promotion, it is important to predict potential best sellers and their respective sales volumes so that the platform can arrange their supply chains and logistics accordingly. For items with a sufficiently long sales history, accurate sales forecast can be achieved through the traditional statistical forecasting techniques. Accurately predicting the sales volume of a new item, however, is rather challenging with existing methods; time series models tend to overfit due to the very limited historical sales records of the new item, whereas models that do not utilize historical information often fail to make accurate predictions, due to the lack of strong indicators of sales volume among the item's basic attributes. This article presents the solution deployed at Alibaba in 2019, which had been used in production to prepare for its annual "Double 11" promotion event whose total sales amount exceeded U.S. $ 38 billion in a single day. The main idea of the proposed solution is to predict the sales volume of each new item through its connections with older products with sufficiently long sales history. In other words, our solution considers the cross-selling effects between different products, which has been largely neglected in previous methods. Specifically, the proposed solution first constructs an item graph, in which each new item is connected to relevant older items. Then, a novel multitask graph convolutional neural network (GCN) is trained by a multiobjective optimization-based gradient surgery technique to predict the expected sales volumes of new items. The designs of both the item graph and the GCN exploit the fact that we only need to perform accurate sales forecasts for potential best-selling items in a major promotion, which helps reduce computational overhead. Extensive experiments on both proprietary AliExpress data and a public dataset demonstrate that the proposed solution achieves consistent performance gains compared to existing methods for sales forecast.

WeChat E-Commerce, Social Connections, and Smallholder Agriculture Sales Performance: A Survey of Orange Farmers in Hubei Province, China

WeChat is a social media widely used in rural China because of its operability and simplicity. This paper contributes to the role of WeChat in rural e-commerce. Based on 406 orange farmers’ survey data from Hubei Province, China, we used the Heckman model to analyze the factors that influence farmers’ participation in WeChat e-commerce and estimate the impacts of WeChat e-commerce on farmers’ sales performance. We found that information literacy and social connections are important factors affecting farmers’ participation in WeChat e-commerce. WeChat e-commerce has a positive effect on farmers’ sales performance, and the social connections between farmers and consumers can reinforce this effect. Particularly, the beneficial effects are more prominent for farmers with a higher level of Internet development, who operate on a smaller scale, and who are less educated. The results show that WeChat e-commerce improves sales performance mainly by increasing the quantity of sales and the profit rate. These findings will help countries like China to use daily social media to develop rural e-commerce.

Promised-delivery-time-driven reselling facing global platform's private label competition: Game analysis and data validation

In e-commerce operations, many brands participate with global platforms such as JD.com under the reselling mode because of platforms’ high-quality logistics service and consumers’ preference for products sold in JD.com's retail channel. However, a brand's reselling through platform participation may be challenged by the competition from platforms’ private label products. We therefore conduct a multi-methodological study to examine a brand's reselling decision using both game-theoretical analysis and big data validation based on JD.com's transaction-level data. We first validate the value of platform reselling through the batch gradient descent algorithm, and then develop a game-theoretical model to formulate the impact of the platform's private label competition. We find that echoing the data analysis results, the platform's significant channel advantage and the high logistics service level encourage a brand to adopt the reselling mode rather than the direct-selling mode through its self-channel. Interestingly, the impact of competitiveness of the platform's private label product is non-monotonic. The brand may prefer reselling through the platform only when the platform's private label competitiveness is moderate, as the brand's profit will be hurt by a small sales quantity /a low profit margin when the platform's private label competitiveness is low/high. We further identify a win-win situation between the brand and the platform when the brand chooses the reselling mode. This study uncovers the sophisticated interactions among channel advantage, logistics service level, and platform's private label competitiveness, as well as its impact on brands’ sales strategies.

IMPORTANCE OF THE PROCEDURES MANUAL IN BUSINESS ADMINISTRATION

In the current world where we find ourselves, companies have had to adapt to new changes, we know that currently many companies direct their efforts to generate profits, taking into account simply the amount of sales of goods or services. , neglecting the administration of its human, technological and even financial resources. Every company for the development of its activities executes substantive and adjective processes. The nouns that correspond to those of the company’s objective and the adjectives that refer to those that support the main management. What is detrimental is that executing them does not have written policies and procedures, which radically affects the result of the management and therefore its strategic objectives.

Gasoline price and fuel economy of new automobiles: Evidence from Chinese cities

With climate change and energy security being global issues, improvements in passenger vehicles' fuel economy can greatly aid in reducing gasoline usage and mitigating carbon emissions. This paper examines the effect of gasoline price on overall automobile sales, and its role in affecting the types of vehicles purchased by Chinese consumers. Based on monthly model-level sales data for 31 major cities in China from 2013 to 2019, we find that increased gasoline price not only reduces total sales quantity, but also alters fleet composition as consumers purchase more fuel-efficient cars, and less of their inefficient counterparts. However, an essential question remains: To what extent does gasoline price affect greenhouse gas emissions? Policy simulations based on our findings show that a 1 CNY/L increase in gasoline price leads to a relatively modest improvement in fleet fuel economy of new automobiles by about 0.13 L/100 km (around 1.7% improvement). In turn, this improvement in fuel economy leads to a reduction of the annual carbon emission by 3.64%.

Study on Promotional Strategy of Syngenta Product Amistar in Hoshiarpur District of Punjab, India

Bases on information gathered from 176 respondents, a study carried out in the Hoshiarpur area of Punjab state discovered numerous Amistar fungicide promotional methods. The study's main goal was to determine how best to market fungicide to farmers. It is revealed that out of total respondent’s major number falls under the age group of 30- 50 years that is 94 respondents, and it was found land holding has a direction relation between the income level of the respondents and also the education level. The study showed that respondents gave the primary preference to Amistar Fungicide of by Syngenta Market potential is the maximum amount of sales that might be available to all the firms in a pesticide industry during a given period, under a given level of pesticide industry marketing efforts and environmental conditions. Grain crops is the major crop in Mukerian Block in which Amistar is used for use, so the market potential is calculated considering Maize crop acreage.
 when it comes the preferred promotional tools, the response was in the favour of farmer meeting. Demonstration, company’s person visit, wall postering, literature display, phone call, van campaign were ranked second, third, fourth, fifth, sixth and seventh respectively. The response was in the favour of billboards with a total number of 57(32.40%) followed by the television, radio and social media. Other sources were television, radio, newspaper and social media.