With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty r...With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities,promoting the sustainable development of rural economies.This paper explores the application of big data technology in poverty recurrence monitoring,analyzes its innovative integration with agricultural product sales systems,and proposes an intelligent monitoring and sales platform model based on big data,aiming to provide a reference for relevant policy formulation.展开更多
Adolescents who abuse tobacco are more vulnerable to long-term nicotine dependence,and more than 75%of current smokers started smoking during puberty[1].This early initiation is particularly concerning because the pre...Adolescents who abuse tobacco are more vulnerable to long-term nicotine dependence,and more than 75%of current smokers started smoking during puberty[1].This early initiation is particularly concerning because the prefrontal cortex,which governs executive functions and complex behavior,is not fully mature until age 25,making it especially susceptible to the neurotoxic effects of smoking[2].The smoking rate among Chinese secondary school students decreased from 5.9%in 2019 to 4.2%in 2023[3].However,easy access to cigarettes remains a critical obstacle to further reducing the smoking rate[4].China’s tobacco control strategy goes beyond general population measures to include specific policies protecting minors,such as the Tobacco Monopoly Law(1991)and the Law on the Protection of Minors(2006),which explicitly prohibit tobacco sales to minors.A 2020 revision of the Law on the Protection of Minors,which came into effect in June 2021,introduced specific penalties for noncompliance and significantly enhanced the enforceability of the legislation[5].展开更多
The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant departments,producers and consumers.In order to evaluate the e-commerce sales information of fresh ve...The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant departments,producers and consumers.In order to evaluate the e-commerce sales information of fresh vegetables scientifically and accurately,the sales volume information of such four common vegetables as baby cabbage,potatoes,bok choy and tomatoes,from Anhui Jinghui Vegetable E-commerce Co.,Ltd.was selected as the research object to establish the sales trend prediction system.Taking the improved SVR as an example,we introduced the overall architecture,detailed design and function realization of the system.The system can reflect the short-term sales volume trend of fresh vegetables,and also can provide guidance for the realization of e-commerce order-oriented management and scientific production.展开更多
Advertising and sales promotion have significant impact on raising customer awareness. They are tools by which customers become acquainted with new and innovative products and services of the companies. Despite the im...Advertising and sales promotion have significant impact on raising customer awareness. They are tools by which customers become acquainted with new and innovative products and services of the companies. Despite the importance of these tools in increasing sales, it is not easy to evaluate their effect on sales. One of the problems confronted by the marketing managers is the determination of a clear relationship between the effectiveness of advertising and sales promotion on profitability. In this article, considering the relationship between these tools and brand equity, we have attempted to determine the relationship between effectiveness of these two factors and profitability. Next, a system dynamics model for representing the effects of marketing communication tools on company profitability is offered. Finally, using the data from a corporation and the numeric values related to each of the elements in the model, an attempt has been made to determine a number representing the magnitude of the effect of advertising and sales promotion on the corporation＇s revenue and profitability and to draw the respective curves related to the effects of these two factors.展开更多
We analyze a continuous review lost sales inventory system with two types of orders—regular and emergency. The regular order has a stochastic lead time and is placed with the cheapest acceptable supplier. The emergen...We analyze a continuous review lost sales inventory system with two types of orders—regular and emergency. The regular order has a stochastic lead time and is placed with the cheapest acceptable supplier. The emergency order has a deterministic lead time is placed with a local supplier who has a higher price. The emergency order is not always filled since the supplier may not have the ability to provide the order on an emergency basis at all times. This emergency order has a higher cost per item and has a known probability of being filled. The total costs for this system are compared to a system without emergency placement of orders. This paper provides managers with a tool to assess when dual sourcing is cost optimal by comparing the single sourcing and dual sourcing models.展开更多
The Economic Production Quantity (EPQ) model is commonly used by practitioners in the fields of production and inventory management to assist them in making decision on production lot size. The common assumptions in t...The Economic Production Quantity (EPQ) model is commonly used by practitioners in the fields of production and inventory management to assist them in making decision on production lot size. The common assumptions in this model are that all units produced are perfect and shortages are not allowed. But, in real situation the defective items will be produced in each cycle of production and shortages and scrap are possible. These assumptions will underestimate the actual required quantity. Hence, the defective items can not be ignored in the production process. Rework process is necessary to convert those defective into finished goods. This study proposes EPQ model that incorporates both imperfect production quality and falsely not screening out a proportion of defects, thereby passing them on to customers, resulting in defect sales returns. To active this objective a suitable mathematical model is developed and the optimal production lot size which minimizes the total cost is derived. An illustrative example is provided and numerically verified. The validation of result in this model was coded in Microsoft Visual Basic 6.0.展开更多
Objective To analyze the current situation of drug regulation after introducing the new policy for China’s online pharmacy,and to provide reference for the regulation of online pharmacy based on the international exp...Objective To analyze the current situation of drug regulation after introducing the new policy for China’s online pharmacy,and to provide reference for the regulation of online pharmacy based on the international experience.Methods Through literature research and comparative analysis,the history of policies for online pharmacy in China was investigated,and the current situation and problems of regulation for online pharmacy were explored.Results and Conclusion It is found that the body,basis and behavior of online prescription drug supervision in China should be improved.Combining experience in regulating online prescription drug at home and abroad,we provide some suggestions for the implementation of China’s online prescription drug policy by establishing a government-led multiple regulatory mechanism,standardizing the access qualifications for enterprises with business in online prescription drugs,improving the prescription inquiry and review system,and paying attention to consumer needs.展开更多
According to the China Association of Automobile Manufacturers (CAAM),China's auto industry reached record highs in 2025,with production and sales at 34.53 million and 34.4 million vehicles,respectively.This secur...According to the China Association of Automobile Manufacturers (CAAM),China's auto industry reached record highs in 2025,with production and sales at 34.53 million and 34.4 million vehicles,respectively.This secured China's position as the world's largest auto market for the 17th year in a row.展开更多
CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-wi...CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-win ecosystem in this sector.Total auto output reached 34.531 million units in 2025,up 10.4 percent compared with the 2024 level,while sales rose 9.4 percent year on year to 34.4 million units,according to the China Association of Automobile Manufacturers(CAAM).展开更多
By using the characteristics of the new building in China, this article constructs the virtual repeat sale method to produce virtual repeat data which is similar to the repeat sale model on the house price index. Case...By using the characteristics of the new building in China, this article constructs the virtual repeat sale method to produce virtual repeat data which is similar to the repeat sale model on the house price index. Case-Shiller procedure and OFHEO method are used to calculate the house price index for new building in China. A discussion is given and furthering models are needed to take advantage of the virtual repeat sale data.展开更多
The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down.The general public has responded to call of the government to stay at home.Offline retail stores have been severely af...The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down.The general public has responded to call of the government to stay at home.Offline retail stores have been severely affected.Therefore,in order to transform a traditional offline sales model to the B2C model and to improve the shopping experience,this study aims to utilize historical sales data for exploring,building sales prediction and recommendation models.A novel data science life-cycle and process model with Recency,Frequency,and Monetary(RFM)analysis method with the combination of various analytics algorithms are utilized in this study for sales prediction and product recommendation through user behavior analytics.RFM analysis method is utilized for segmenting customer levels in the company to identify the importance of each level.For the purchase prediction model,XGBoost and Random Forest machine learning algorithms are used to build prediction models and 5-fold Cross-Validation method is utilized to evaluate their.For the product recommendation model,the association rules theory and Apriori algorithm are used to complete basket analysis and recommend products according to the outcomes.Moreover,some suggestions are proposed for the marketing department according to the outcomes.Overall,the XGBoost model achieved better performance and better accuracy with F1-score around 0.789.The proposed recommendation model provides good recommendation results and sales combinations for improving sales and market responsiveness.Furthermore,it recommend specific products to new customers.This study offered a very practical and useful business transformation case that assists companies in similar situations to transform their business models.展开更多
Sale prediction plays a significant role in business management. By using support vector machine Regression （ε-SVR）, a method using to predict sale is illustrated. It takes historical data and current context data ...Sale prediction plays a significant role in business management. By using support vector machine Regression （ε-SVR）, a method using to predict sale is illustrated. It takes historical data and current context data as inputs and presents results, i.e. sale tendency in the future and the forecasting sales, according to the user＇s specification of accuracy and time cycles. Some practical data experiments and the comparative tests with other algorithms show the advantages of the proposed approach in computation time and correctness.展开更多
Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’requirements of product specification combinations.To better facilitate decision-making of modula...Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’requirements of product specification combinations.To better facilitate decision-making of modular product design,correlations among specifications and components originated from customers’conscious and subconscious preferences can be investigated by using big data on product sales.This study proposes a framework and the associated methods for supporting modular product design decisions based on correlation analysis of product specifications and components using big sales data.The correlations of the product specifications are determined by analyzing the collected product sales data.By building the relations between the product components and specifications,a matrix for measuring the correlation among product components is formed for component clustering.Six rules for supporting the decision making of modular product design are proposed based on the frequency analysis of the specification values per component cluster.A case study of electric vehicles illustrates the application of the proposed method.展开更多
This paper reports literature review in the field of pharmaceutical marketing emphasizing problems faced by medical representatives. India after globalization and being the second highest populated country has emerged...This paper reports literature review in the field of pharmaceutical marketing emphasizing problems faced by medical representatives. India after globalization and being the second highest populated country has emerged as major pharmaceutical market in the world. Pharmaceutical marketing in India is highly relied on personal relationship between medical representatives and doctors. In the last decade, many foreign companies have entered in Indian market. This has posed highly competitive and challenging work environment for medical representatives. Therefore, it is indispensable to study the challenges faced by medical representatives in this dynamic environment.展开更多
基金2025 College Students’Innovation Training Program“Return to Poverty Monitoring and Agricultural Products Sales System”2024 College Students’Innovation Training Program“Promoting Straw Recycling to Accelerate the Sustainable Development of Agriculture”(202413207010)。
文摘With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities,promoting the sustainable development of rural economies.This paper explores the application of big data technology in poverty recurrence monitoring,analyzes its innovative integration with agricultural product sales systems,and proposes an intelligent monitoring and sales platform model based on big data,aiming to provide a reference for relevant policy formulation.
文摘Adolescents who abuse tobacco are more vulnerable to long-term nicotine dependence,and more than 75%of current smokers started smoking during puberty[1].This early initiation is particularly concerning because the prefrontal cortex,which governs executive functions and complex behavior,is not fully mature until age 25,making it especially susceptible to the neurotoxic effects of smoking[2].The smoking rate among Chinese secondary school students decreased from 5.9%in 2019 to 4.2%in 2023[3].However,easy access to cigarettes remains a critical obstacle to further reducing the smoking rate[4].China’s tobacco control strategy goes beyond general population measures to include specific policies protecting minors,such as the Tobacco Monopoly Law(1991)and the Law on the Protection of Minors(2006),which explicitly prohibit tobacco sales to minors.A 2020 revision of the Law on the Protection of Minors,which came into effect in June 2021,introduced specific penalties for noncompliance and significantly enhanced the enforceability of the legislation[5].
基金Supported by Anhui Provincial Science and Technology Major Project(18030701202)General Project of Anhui Provincial Key Research and Development Program(201904a06020056)。
文摘The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant departments,producers and consumers.In order to evaluate the e-commerce sales information of fresh vegetables scientifically and accurately,the sales volume information of such four common vegetables as baby cabbage,potatoes,bok choy and tomatoes,from Anhui Jinghui Vegetable E-commerce Co.,Ltd.was selected as the research object to establish the sales trend prediction system.Taking the improved SVR as an example,we introduced the overall architecture,detailed design and function realization of the system.The system can reflect the short-term sales volume trend of fresh vegetables,and also can provide guidance for the realization of e-commerce order-oriented management and scientific production.
文摘Advertising and sales promotion have significant impact on raising customer awareness. They are tools by which customers become acquainted with new and innovative products and services of the companies. Despite the importance of these tools in increasing sales, it is not easy to evaluate their effect on sales. One of the problems confronted by the marketing managers is the determination of a clear relationship between the effectiveness of advertising and sales promotion on profitability. In this article, considering the relationship between these tools and brand equity, we have attempted to determine the relationship between effectiveness of these two factors and profitability. Next, a system dynamics model for representing the effects of marketing communication tools on company profitability is offered. Finally, using the data from a corporation and the numeric values related to each of the elements in the model, an attempt has been made to determine a number representing the magnitude of the effect of advertising and sales promotion on the corporation＇s revenue and profitability and to draw the respective curves related to the effects of these two factors.
文摘We analyze a continuous review lost sales inventory system with two types of orders—regular and emergency. The regular order has a stochastic lead time and is placed with the cheapest acceptable supplier. The emergency order has a deterministic lead time is placed with a local supplier who has a higher price. The emergency order is not always filled since the supplier may not have the ability to provide the order on an emergency basis at all times. This emergency order has a higher cost per item and has a known probability of being filled. The total costs for this system are compared to a system without emergency placement of orders. This paper provides managers with a tool to assess when dual sourcing is cost optimal by comparing the single sourcing and dual sourcing models.
文摘The Economic Production Quantity (EPQ) model is commonly used by practitioners in the fields of production and inventory management to assist them in making decision on production lot size. The common assumptions in this model are that all units produced are perfect and shortages are not allowed. But, in real situation the defective items will be produced in each cycle of production and shortages and scrap are possible. These assumptions will underestimate the actual required quantity. Hence, the defective items can not be ignored in the production process. Rework process is necessary to convert those defective into finished goods. This study proposes EPQ model that incorporates both imperfect production quality and falsely not screening out a proportion of defects, thereby passing them on to customers, resulting in defect sales returns. To active this objective a suitable mathematical model is developed and the optimal production lot size which minimizes the total cost is derived. An illustrative example is provided and numerically verified. The validation of result in this model was coded in Microsoft Visual Basic 6.0.
文摘Objective To analyze the current situation of drug regulation after introducing the new policy for China’s online pharmacy,and to provide reference for the regulation of online pharmacy based on the international experience.Methods Through literature research and comparative analysis,the history of policies for online pharmacy in China was investigated,and the current situation and problems of regulation for online pharmacy were explored.Results and Conclusion It is found that the body,basis and behavior of online prescription drug supervision in China should be improved.Combining experience in regulating online prescription drug at home and abroad,we provide some suggestions for the implementation of China’s online prescription drug policy by establishing a government-led multiple regulatory mechanism,standardizing the access qualifications for enterprises with business in online prescription drugs,improving the prescription inquiry and review system,and paying attention to consumer needs.
文摘According to the China Association of Automobile Manufacturers (CAAM),China's auto industry reached record highs in 2025,with production and sales at 34.53 million and 34.4 million vehicles,respectively.This secured China's position as the world's largest auto market for the 17th year in a row.
文摘CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-win ecosystem in this sector.Total auto output reached 34.531 million units in 2025,up 10.4 percent compared with the 2024 level,while sales rose 9.4 percent year on year to 34.4 million units,according to the China Association of Automobile Manufacturers(CAAM).
文摘By using the characteristics of the new building in China, this article constructs the virtual repeat sale method to produce virtual repeat data which is similar to the repeat sale model on the house price index. Case-Shiller procedure and OFHEO method are used to calculate the house price index for new building in China. A discussion is given and furthering models are needed to take advantage of the virtual repeat sale data.
基金This research is funded by the School of Computer Sciences,and Division of Research&Innovation,Universiti Sains Malaysia,Short Term Grant(304/PKOMP/6315435)granted to Pantea Keikhosrokiani.
文摘The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down.The general public has responded to call of the government to stay at home.Offline retail stores have been severely affected.Therefore,in order to transform a traditional offline sales model to the B2C model and to improve the shopping experience,this study aims to utilize historical sales data for exploring,building sales prediction and recommendation models.A novel data science life-cycle and process model with Recency,Frequency,and Monetary(RFM)analysis method with the combination of various analytics algorithms are utilized in this study for sales prediction and product recommendation through user behavior analytics.RFM analysis method is utilized for segmenting customer levels in the company to identify the importance of each level.For the purchase prediction model,XGBoost and Random Forest machine learning algorithms are used to build prediction models and 5-fold Cross-Validation method is utilized to evaluate their.For the product recommendation model,the association rules theory and Apriori algorithm are used to complete basket analysis and recommend products according to the outcomes.Moreover,some suggestions are proposed for the marketing department according to the outcomes.Overall,the XGBoost model achieved better performance and better accuracy with F1-score around 0.789.The proposed recommendation model provides good recommendation results and sales combinations for improving sales and market responsiveness.Furthermore,it recommend specific products to new customers.This study offered a very practical and useful business transformation case that assists companies in similar situations to transform their business models.
基金This project was supported by the National Natural Science Foundation of China (60573159)the Natural Science Foundation of Guangdong Province (05200302).
文摘Sale prediction plays a significant role in business management. By using support vector machine Regression （ε-SVR）, a method using to predict sale is illustrated. It takes historical data and current context data as inputs and presents results, i.e. sale tendency in the future and the forecasting sales, according to the user＇s specification of accuracy and time cycles. Some practical data experiments and the comparative tests with other algorithms show the advantages of the proposed approach in computation time and correctness.
基金National Key R&D Program of China(Grant No.2018YFB1701701)Sailing Talent Program+1 种基金Guangdong Provincial Science and Technologies Program of China(Grant No.2017B090922008)Special Grand Grant from Tianjin City Government of China。
文摘Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’requirements of product specification combinations.To better facilitate decision-making of modular product design,correlations among specifications and components originated from customers’conscious and subconscious preferences can be investigated by using big data on product sales.This study proposes a framework and the associated methods for supporting modular product design decisions based on correlation analysis of product specifications and components using big sales data.The correlations of the product specifications are determined by analyzing the collected product sales data.By building the relations between the product components and specifications,a matrix for measuring the correlation among product components is formed for component clustering.Six rules for supporting the decision making of modular product design are proposed based on the frequency analysis of the specification values per component cluster.A case study of electric vehicles illustrates the application of the proposed method.
文摘This paper reports literature review in the field of pharmaceutical marketing emphasizing problems faced by medical representatives. India after globalization and being the second highest populated country has emerged as major pharmaceutical market in the world. Pharmaceutical marketing in India is highly relied on personal relationship between medical representatives and doctors. In the last decade, many foreign companies have entered in Indian market. This has posed highly competitive and challenging work environment for medical representatives. Therefore, it is indispensable to study the challenges faced by medical representatives in this dynamic environment.
