Advertising avoidance is resistance to advertising intrusion.This issue has been the subject of much academic research in recent years.To guide scholars to better carry out relevant research and promote enterprises to...Advertising avoidance is resistance to advertising intrusion.This issue has been the subject of much academic research in recent years.To guide scholars to better carry out relevant research and promote enterprises to better implement advertising activities,this study intends to summarize the relevant research on advertising avoidance in recent years.The specific method is to use the core literature meta-analysis method to identify,filter,and screen relevant literature published in core journals from 1997 to 2020 with the keywords advertising avoidance and advertising resistance.We review the collected articles from the following perspectives:the definition and classification,external stimulating factors,internal perception factors,and moderating factors of advertising avoidance.On this basis,the SOMR model of advertising avoidance is constructed according to the SOR model.Finally,some prospects for future related research are presented.展开更多
This paper analyzes the use of metaphor and metonymy in Japanese advertising language.These rhetorical devices enhance emotional appeal,capture consumer attention,and convey product value indirectly through imagery an...This paper analyzes the use of metaphor and metonymy in Japanese advertising language.These rhetorical devices enhance emotional appeal,capture consumer attention,and convey product value indirectly through imagery and association.Metonymy expresses benefits via related elements like body parts or sensations,while metaphors connect products to nature or emotion,evoking rich sensory experiences.The study examines examples across categories such as beauty,health,and lifestyle,showing how these expressions align with Japanese cultural values of subtlety and suggestion.It concludes that metaphorical language in advertising not only informs but also emotionally resonates with consumers,making products more memorable and desirable.展开更多
Recently,generative artificial intelligence(GenAI)has developed into a new form of technology that can create copy,image,audio,and video content and adapt it to individual preferences on every channel and moment autom...Recently,generative artificial intelligence(GenAI)has developed into a new form of technology that can create copy,image,audio,and video content and adapt it to individual preferences on every channel and moment automatically.But most fail at proof-of-concept,as the pipelines needed to govern data,generate it controllably,deliver it,and do causal evaluation are absent or poorly aligned.This paper puts forward a practical end-to-end framework concerning personalized advertising driven by GenAI,which combines representation learning,constrained generation,and experimentation into a single operating cycle.First,we pick a modular architecture:profiles and contexts go into controllable large language and diffusion models that yield brand-safe assets under deterministic conditioning,which are chosen via a contextual bandit and vetted by policy and equality guardrails.Second,we give a measurement stack going from straightforward A/B/n tests to doubly-robust uplift modeling,making it possible to find out diverse treatment effects that are good to use in business metrics(incremental conversions and profit).Third,we operationalize latency budgets,humans in the loop,red teams,safety filters,and post-deployment monitoring with clear escalation paths.We focus throughout the paper on reproducibility,privacy(consent,privacy,differential privacy,on-device inference),and on GDPR/CCPA-like governance specifications.We end on our actionable blueprint,algorithmic choices,sample prompts,KPIs,and step-wise rollout to achieve trustworthy performance upgrades without putting creative quality,fairness,or compliance to the test.展开更多
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
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
In this paper we study optimal advertising problems that model the introduction of a new product into the market in the presence of carryover effects of the advertisement and with memory effects in the level of goodwi...In this paper we study optimal advertising problems that model the introduction of a new product into the market in the presence of carryover effects of the advertisement and with memory effects in the level of goodwill. In particular, we let the dynamics of the product goodwill to depend on the past, and also on past advertising efforts. We treat the problem by means of the stochastic Pontryagin maximum principle, that here is considered for a class of problems where in the state equation either the state or the control depend on the past. Moreover the control acts on the martingale term and the space of controls U can be chosen to be non-convex but now the space of controls U can be chosen to be non-convex. The maximum principle is thus formulated using a first-order adjoint Backward Stochastic Differential Equations (BSDEs), which can be explicitly computed due to the specific characteristics of the model, and a second-order adjoint relation.展开更多
Accurate sales forecasting is essential in the fast-paced world of business for effective strategic planning and resource allocation. However, traditional forecasting methods often lack precision and flexibility. This...Accurate sales forecasting is essential in the fast-paced world of business for effective strategic planning and resource allocation. However, traditional forecasting methods often lack precision and flexibility. This study aims to address this issue by incorporating machine learning (ML) techniques to improve forecasting accuracy and responsiveness to market changes. The methodology involves gathering extensive sales data and carefully preprocessing it to ensure quality. Various ML algorithms, such as time series analysis, regression models, and neural networks, are utilized to account for the complex and non-linear nature of sales patterns. These models are trained and validated using historical sales data, taking into consideration external factors like economic indicators and consumer trends. The results show a significant enhancement in forecast accuracy compared to traditional methods. The ML models effectively capture underlying trends and seasonal variations, providing reliable predictions that closely match actual sales results. Additionally, the models demonstrate strong adaptability, quickly adjusting to unexpected market shifts.展开更多
UK manufacturers experienced a challenging start to 2024,with sales in the first quarter(Q1)down 10 per cent on the previous quarter,according to a report by Unleashed.However,year-on-year growth showed a modest incre...UK manufacturers experienced a challenging start to 2024,with sales in the first quarter(Q1)down 10 per cent on the previous quarter,according to a report by Unleashed.However,year-on-year growth showed a modest increase of 2 per cent,reflecting the Bank of England’s assessment of weak growth in the manufacturing sector.展开更多
In contrast to traditional linguistics,which views metaphor primarily as a rhetorical device,cognitive linguistics sees it as a fundamental cognitive process inherent to human thoughts.The conceptual metaphor theory,p...In contrast to traditional linguistics,which views metaphor primarily as a rhetorical device,cognitive linguistics sees it as a fundamental cognitive process inherent to human thoughts.The conceptual metaphor theory,proposed by Lakoff and Johnson,continues to be a subject of intense scholarly debate.Numerous studies have examined conceptual metaphor from various perspectives,but research specifically focusing on advertising discourse is still limited.Advertising is constantly present in our lives,whether we are conscious of it or not.It holds a significant influence in our daily lives and communication.As we know that advertisers tend to make use of metaphors,and an analysis of their usages can provide valuable insights into their role in advertising discourse.The purpose of this paper is to extend the application of conceptual metaphor theory to the unique context of Macao’s casino advertising.Through a small-scale study,the author aims to identify types of metaphors used in casino advertising and gain an understanding of how they are strategically employed to attract customers.展开更多
The pharmaceutical industry is facing challenges due to various factors such as supply chain disruptions,changing consumer behavior,and regulatory changes.Accurate demand forecasting is essential to ensure an adequate...The pharmaceutical industry is facing challenges due to various factors such as supply chain disruptions,changing consumer behavior,and regulatory changes.Accurate demand forecasting is essential to ensure an adequate supply of drugs.The goal of this work is to forecast paracetamol product demand.For this purpose,we propose a hybrid forecasting model combining two effective forecasting techniques:SARIMA(Seasonal AutoRegressive Integrated Moving Average)and ANFIS(Adaptive Neuro-Fuzzy Inference System).This proposal consists of nonlinear components of time series by ANFIS and adjusting the result by the mean of the residuals of the SARIMA to improve the accuracy and performance of ANFIS predictions.Before the prediction phase,we preprocess our data and detect the anomalies in our dataset with Locally Selective Combination in Parallel Outlier Ensembles(LSCP).Then,by treating these anomalies as missing values,they are imputed using the combination of fuzzy-possibilistic c-means(FCM)with support vector regression(SVR)and a genetic algorithm(GA).Finally,we evaluate the performance of the model and some known models based on MAPE.We choose the hybrid model SARIMA-ANFIS that provides the most accurate and reliable forecasting.展开更多
The stimulus to carry out this research is to investigate the relationship between internet advertisement and its features on the total E-commerce sales of the top five countries of Europe. The units of analysis are t...The stimulus to carry out this research is to investigate the relationship between internet advertisement and its features on the total E-commerce sales of the top five countries of Europe. The units of analysis are the individuals of UK, France, Italy, Germany and Netherland. Secondary data are collected from the reports of [1] (ADEX, 2010) and [2] (Eurostats, 2011). To empirically determine the relationship between independent variable and dependent variable in the European context, the study uses various statistical techniques, including OLS regression and correlation analysis techniques. The empirical findings indicate that the Internet advertisement features of search advertisement and classified advertisement have positive significant relationship with the E-commerce sales in Europe. The empirical findings indicate negative significant relationship of display advertisement with the E-commerce sales in Europe. However, this variable is also justified with the help of literature. Findings also demonstrate that search advertisement has strong positive relationship and it generates positive influence for the E-commerce sales as compared to the classified advertisement and display advertisement. Firms and marketers which are investing in online advertisement will find these results useful as they can get better sales and can use these features of online advertisement in order to maximize the sales of their products and services.展开更多
Objective To analyze the improvement of the incentive mechanism of sales personnel in pharmaceutical company A,and to promote the smooth operation and further development of the company in a long term.Methods Compensa...Objective To analyze the improvement of the incentive mechanism of sales personnel in pharmaceutical company A,and to promote the smooth operation and further development of the company in a long term.Methods Compensation incentive,performance appraisal,welfare benefit,training incentive,promotion motivation and enterprise cultural inspiration were explored through questionnaires,telephone interviews and in-person interviews.Results and Conclusion This company’s incentive mechanism has problems in two aspects:Material incentives and spiritual incentives.As to the company’s characteristics and strategic development,the optimization countermeasures of incentive mechanism are proposed from the following three aspects:constructing a reasonable incentive system,establishing an efficient spiritual incentive mechanism,and implementing the dynamic incentive and differentiated incentive simultaneously.展开更多
In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreami...In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreaming.Especially during the COVID-19 pandemic,due to the lockdown,live-streaming has become an important means of economic development in many places.Owing to its remarkable characteristics of timeliness,entertainment,and interactivity,it has become the latest and trendiest sales mode of e-commerce channels,reflecting huge economic potential and commercial value.This article analyzes two models and their characteristics of live-streaming sales from a practical perspective.Based on this,it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model.Finally,it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market,hoping to promote the healthy and steady development of the live-streaming sales industry.展开更多
With the rapid advancement of human economic levels and modern civilization,the automobile manufacturing industry is increasingly confronted with challenges related to energy scarcity and environmental pollution.Low c...With the rapid advancement of human economic levels and modern civilization,the automobile manufacturing industry is increasingly confronted with challenges related to energy scarcity and environmental pollution.Low carbon emissions and energy savings have become the main focus of automotive development.Under the influence of government incentives,the sales of household electric vehicles(EVs)have increased significantly,although they still represent a small share of the overall car market.To examine the factors influencing consumer purchases of household EVs,this report integrates both qualitative and quantitative analyses,controlling for single variables.Using linear regression,an empirical analysis was conducted on 18 BYD models with varying ranges and prices.The results indicate a strong positive correlation between driving range,selling price,and EV sales.Looking ahead,the development of new energy vehicles should prioritize longer ranges,high-quality features,and cost-effective performance.展开更多
This article explores the impact of the three-dimensional cultivation mode on the development of the Suzhou tea industry,focusing on the diversified estimation of the value of output per acre and sales mode.It introdu...This article explores the impact of the three-dimensional cultivation mode on the development of the Suzhou tea industry,focusing on the diversified estimation of the value of output per acre and sales mode.It introduces the history and traditional cultivation practices of tea in Suzhou,as well as the current challenges and problems faced by the industry.An in-depth analysis was conducted on the overview and improvement plans of the three-dimensional cultivation mode,covering relevant technical methods.Based on this analysis,the impact of the three-dimensional cultivation on the value of output per acre was studied and predicted.Its potential and advantages were explored and compared with the effectiveness of traditional cultivation models.Additionally,the impact of the three-dimensional cultivation mode on sales was analyzed,examining its market adaptability and competitiveness,as well as its advantages in expanding sales channels and market coverage.The study also focused on the promoting effect of diversified sales models on the Suzhou tea industry,including direct consumption market development,tea processing product development and promotion,and the integration of tea culture and the tourism industry.To ensure sustainable development,the article evaluates the environmental impact,economic feasibility,social benefits,and farmer benefits of the three-dimensional cultivation model.Finally,the prospects for the development of the Suzhou tea industry were discussed,and the positioning and response strategies of the threedimensional cultivation model were proposed.展开更多
Advertisement calls are essential for communication among anuran amphibians,with their production influenced by a range of environmental factors and morphological traits.To understand the primary sources of variation ...Advertisement calls are essential for communication among anuran amphibians,with their production influenced by a range of environmental factors and morphological traits.To understand the primary sources of variation of advertisement calls in male Leptobrachium liui,we recorded their advertisement calls during the breeding season and analyzed two primary acoustic parameters: call duration(CD) and dominant frequency(DF),along with their within-individual coefficients of variation.Additionally,we collected nest-related environmental parameters and morphological traits to investigate how these factors influence the variation in advertisement calls.Our analyses revealed that both nest-related environmental parameters(particularly water temperature) and individual morphological traits(especially head morphology) significantly influenced advertisement call characteristics in male L.liui.Water temperature showed a negative relationship with CD,while head morphology was positively associated with both CD and DF.These findings enhance our understanding of the factors shaping acoustic communication in L.liui during the breeding season and highlight the importance of both environmental and morphological factors in anuran vocalization.展开更多
文摘Advertising avoidance is resistance to advertising intrusion.This issue has been the subject of much academic research in recent years.To guide scholars to better carry out relevant research and promote enterprises to better implement advertising activities,this study intends to summarize the relevant research on advertising avoidance in recent years.The specific method is to use the core literature meta-analysis method to identify,filter,and screen relevant literature published in core journals from 1997 to 2020 with the keywords advertising avoidance and advertising resistance.We review the collected articles from the following perspectives:the definition and classification,external stimulating factors,internal perception factors,and moderating factors of advertising avoidance.On this basis,the SOMR model of advertising avoidance is constructed according to the SOR model.Finally,some prospects for future related research are presented.
文摘This paper analyzes the use of metaphor and metonymy in Japanese advertising language.These rhetorical devices enhance emotional appeal,capture consumer attention,and convey product value indirectly through imagery and association.Metonymy expresses benefits via related elements like body parts or sensations,while metaphors connect products to nature or emotion,evoking rich sensory experiences.The study examines examples across categories such as beauty,health,and lifestyle,showing how these expressions align with Japanese cultural values of subtlety and suggestion.It concludes that metaphorical language in advertising not only informs but also emotionally resonates with consumers,making products more memorable and desirable.
文摘Recently,generative artificial intelligence(GenAI)has developed into a new form of technology that can create copy,image,audio,and video content and adapt it to individual preferences on every channel and moment automatically.But most fail at proof-of-concept,as the pipelines needed to govern data,generate it controllably,deliver it,and do causal evaluation are absent or poorly aligned.This paper puts forward a practical end-to-end framework concerning personalized advertising driven by GenAI,which combines representation learning,constrained generation,and experimentation into a single operating cycle.First,we pick a modular architecture:profiles and contexts go into controllable large language and diffusion models that yield brand-safe assets under deterministic conditioning,which are chosen via a contextual bandit and vetted by policy and equality guardrails.Second,we give a measurement stack going from straightforward A/B/n tests to doubly-robust uplift modeling,making it possible to find out diverse treatment effects that are good to use in business metrics(incremental conversions and profit).Third,we operationalize latency budgets,humans in the loop,red teams,safety filters,and post-deployment monitoring with clear escalation paths.We focus throughout the paper on reproducibility,privacy(consent,privacy,differential privacy,on-device inference),and on GDPR/CCPA-like governance specifications.We end on our actionable blueprint,algorithmic choices,sample prompts,KPIs,and step-wise rollout to achieve trustworthy performance upgrades without putting creative quality,fairness,or compliance to the test.
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In this paper we study optimal advertising problems that model the introduction of a new product into the market in the presence of carryover effects of the advertisement and with memory effects in the level of goodwill. In particular, we let the dynamics of the product goodwill to depend on the past, and also on past advertising efforts. We treat the problem by means of the stochastic Pontryagin maximum principle, that here is considered for a class of problems where in the state equation either the state or the control depend on the past. Moreover the control acts on the martingale term and the space of controls U can be chosen to be non-convex but now the space of controls U can be chosen to be non-convex. The maximum principle is thus formulated using a first-order adjoint Backward Stochastic Differential Equations (BSDEs), which can be explicitly computed due to the specific characteristics of the model, and a second-order adjoint relation.
文摘Accurate sales forecasting is essential in the fast-paced world of business for effective strategic planning and resource allocation. However, traditional forecasting methods often lack precision and flexibility. This study aims to address this issue by incorporating machine learning (ML) techniques to improve forecasting accuracy and responsiveness to market changes. The methodology involves gathering extensive sales data and carefully preprocessing it to ensure quality. Various ML algorithms, such as time series analysis, regression models, and neural networks, are utilized to account for the complex and non-linear nature of sales patterns. These models are trained and validated using historical sales data, taking into consideration external factors like economic indicators and consumer trends. The results show a significant enhancement in forecast accuracy compared to traditional methods. The ML models effectively capture underlying trends and seasonal variations, providing reliable predictions that closely match actual sales results. Additionally, the models demonstrate strong adaptability, quickly adjusting to unexpected market shifts.
文摘UK manufacturers experienced a challenging start to 2024,with sales in the first quarter(Q1)down 10 per cent on the previous quarter,according to a report by Unleashed.However,year-on-year growth showed a modest increase of 2 per cent,reflecting the Bank of England’s assessment of weak growth in the manufacturing sector.
文摘In contrast to traditional linguistics,which views metaphor primarily as a rhetorical device,cognitive linguistics sees it as a fundamental cognitive process inherent to human thoughts.The conceptual metaphor theory,proposed by Lakoff and Johnson,continues to be a subject of intense scholarly debate.Numerous studies have examined conceptual metaphor from various perspectives,but research specifically focusing on advertising discourse is still limited.Advertising is constantly present in our lives,whether we are conscious of it or not.It holds a significant influence in our daily lives and communication.As we know that advertisers tend to make use of metaphors,and an analysis of their usages can provide valuable insights into their role in advertising discourse.The purpose of this paper is to extend the application of conceptual metaphor theory to the unique context of Macao’s casino advertising.Through a small-scale study,the author aims to identify types of metaphors used in casino advertising and gain an understanding of how they are strategically employed to attract customers.
文摘The pharmaceutical industry is facing challenges due to various factors such as supply chain disruptions,changing consumer behavior,and regulatory changes.Accurate demand forecasting is essential to ensure an adequate supply of drugs.The goal of this work is to forecast paracetamol product demand.For this purpose,we propose a hybrid forecasting model combining two effective forecasting techniques:SARIMA(Seasonal AutoRegressive Integrated Moving Average)and ANFIS(Adaptive Neuro-Fuzzy Inference System).This proposal consists of nonlinear components of time series by ANFIS and adjusting the result by the mean of the residuals of the SARIMA to improve the accuracy and performance of ANFIS predictions.Before the prediction phase,we preprocess our data and detect the anomalies in our dataset with Locally Selective Combination in Parallel Outlier Ensembles(LSCP).Then,by treating these anomalies as missing values,they are imputed using the combination of fuzzy-possibilistic c-means(FCM)with support vector regression(SVR)and a genetic algorithm(GA).Finally,we evaluate the performance of the model and some known models based on MAPE.We choose the hybrid model SARIMA-ANFIS that provides the most accurate and reliable forecasting.
文摘The stimulus to carry out this research is to investigate the relationship between internet advertisement and its features on the total E-commerce sales of the top five countries of Europe. The units of analysis are the individuals of UK, France, Italy, Germany and Netherland. Secondary data are collected from the reports of [1] (ADEX, 2010) and [2] (Eurostats, 2011). To empirically determine the relationship between independent variable and dependent variable in the European context, the study uses various statistical techniques, including OLS regression and correlation analysis techniques. The empirical findings indicate that the Internet advertisement features of search advertisement and classified advertisement have positive significant relationship with the E-commerce sales in Europe. The empirical findings indicate negative significant relationship of display advertisement with the E-commerce sales in Europe. However, this variable is also justified with the help of literature. Findings also demonstrate that search advertisement has strong positive relationship and it generates positive influence for the E-commerce sales as compared to the classified advertisement and display advertisement. Firms and marketers which are investing in online advertisement will find these results useful as they can get better sales and can use these features of online advertisement in order to maximize the sales of their products and services.
文摘Objective To analyze the improvement of the incentive mechanism of sales personnel in pharmaceutical company A,and to promote the smooth operation and further development of the company in a long term.Methods Compensation incentive,performance appraisal,welfare benefit,training incentive,promotion motivation and enterprise cultural inspiration were explored through questionnaires,telephone interviews and in-person interviews.Results and Conclusion This company’s incentive mechanism has problems in two aspects:Material incentives and spiritual incentives.As to the company’s characteristics and strategic development,the optimization countermeasures of incentive mechanism are proposed from the following three aspects:constructing a reasonable incentive system,establishing an efficient spiritual incentive mechanism,and implementing the dynamic incentive and differentiated incentive simultaneously.
文摘In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreaming.Especially during the COVID-19 pandemic,due to the lockdown,live-streaming has become an important means of economic development in many places.Owing to its remarkable characteristics of timeliness,entertainment,and interactivity,it has become the latest and trendiest sales mode of e-commerce channels,reflecting huge economic potential and commercial value.This article analyzes two models and their characteristics of live-streaming sales from a practical perspective.Based on this,it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model.Finally,it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market,hoping to promote the healthy and steady development of the live-streaming sales industry.
文摘With the rapid advancement of human economic levels and modern civilization,the automobile manufacturing industry is increasingly confronted with challenges related to energy scarcity and environmental pollution.Low carbon emissions and energy savings have become the main focus of automotive development.Under the influence of government incentives,the sales of household electric vehicles(EVs)have increased significantly,although they still represent a small share of the overall car market.To examine the factors influencing consumer purchases of household EVs,this report integrates both qualitative and quantitative analyses,controlling for single variables.Using linear regression,an empirical analysis was conducted on 18 BYD models with varying ranges and prices.The results indicate a strong positive correlation between driving range,selling price,and EV sales.Looking ahead,the development of new energy vehicles should prioritize longer ranges,high-quality features,and cost-effective performance.
基金Suzhou Agricultural Vocational and Technical College Young Teachers Research Ability Enhancement Program“Research and Screening of Bacteria for Fermented Beverages of Vice Tea and Loquat Flower”(Project No.QN[2022]01)。
文摘This article explores the impact of the three-dimensional cultivation mode on the development of the Suzhou tea industry,focusing on the diversified estimation of the value of output per acre and sales mode.It introduces the history and traditional cultivation practices of tea in Suzhou,as well as the current challenges and problems faced by the industry.An in-depth analysis was conducted on the overview and improvement plans of the three-dimensional cultivation mode,covering relevant technical methods.Based on this analysis,the impact of the three-dimensional cultivation on the value of output per acre was studied and predicted.Its potential and advantages were explored and compared with the effectiveness of traditional cultivation models.Additionally,the impact of the three-dimensional cultivation mode on sales was analyzed,examining its market adaptability and competitiveness,as well as its advantages in expanding sales channels and market coverage.The study also focused on the promoting effect of diversified sales models on the Suzhou tea industry,including direct consumption market development,tea processing product development and promotion,and the integration of tea culture and the tourism industry.To ensure sustainable development,the article evaluates the environmental impact,economic feasibility,social benefits,and farmer benefits of the three-dimensional cultivation model.Finally,the prospects for the development of the Suzhou tea industry were discussed,and the positioning and response strategies of the threedimensional cultivation model were proposed.
基金supported by the County-School Cooperation Project in Suichang County (2024-HZ12)Ecological Discipline Construction Fund of Lishui University。
文摘Advertisement calls are essential for communication among anuran amphibians,with their production influenced by a range of environmental factors and morphological traits.To understand the primary sources of variation of advertisement calls in male Leptobrachium liui,we recorded their advertisement calls during the breeding season and analyzed two primary acoustic parameters: call duration(CD) and dominant frequency(DF),along with their within-individual coefficients of variation.Additionally,we collected nest-related environmental parameters and morphological traits to investigate how these factors influence the variation in advertisement calls.Our analyses revealed that both nest-related environmental parameters(particularly water temperature) and individual morphological traits(especially head morphology) significantly influenced advertisement call characteristics in male L.liui.Water temperature showed a negative relationship with CD,while head morphology was positively associated with both CD and DF.These findings enhance our understanding of the factors shaping acoustic communication in L.liui during the breeding season and highlight the importance of both environmental and morphological factors in anuran vocalization.
