In the competitive retail industry of the digital era,data-driven insights into gender-specific customer behavior are essential.They support the optimization of store performance,layout design,product placement,and ta...In the competitive retail industry of the digital era,data-driven insights into gender-specific customer behavior are essential.They support the optimization of store performance,layout design,product placement,and targeted marketing.However,existing computer vision solutions often rely on facial recognition to gather such insights,raising significant privacy and ethical concerns.To address these issues,this paper presents a privacypreserving customer analytics system through two key strategies.First,we deploy a deep learning framework using YOLOv9s,trained on the RCA-TVGender dataset.Cameras are positioned perpendicular to observation areas to reduce facial visibility while maintaining accurate gender classification.Second,we apply AES-128 encryption to customer position data,ensuring secure access and regulatory compliance.Our system achieved overall performance,with 81.5%mAP@50,77.7%precision,and 75.7%recall.Moreover,a 90-min observational study confirmed the system’s ability to generate privacy-protected heatmaps revealing distinct behavioral patterns between male and female customers.For instance,women spent more time in certain areas and showed interest in different products.These results confirm the system’s effectiveness in enabling personalized layout and marketing strategies without compromising privacy.展开更多
Adolescent smoking constitutes a critical public health challenge as early initiation increases the risk of premature mortality and smoking-related chronic diseases due to longer exposure and higher cumulative tobacco...Adolescent smoking constitutes a critical public health challenge as early initiation increases the risk of premature mortality and smoking-related chronic diseases due to longer exposure and higher cumulative tobacco use^([1]).Adolescents are especially prone to developing persistent smoking habits,with many adult smokers having started before the age of 18.In China,16.7%of secondary school students have tried smoking and 4.7%are current smokers,highlighting the critical need for targeted tobacco control interventions among the youth.展开更多
Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a ...Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.Wake up at 2 a.m.with a sick child?Medicine is at your door within minutes.This is life with China’s rapidly developing sales model known as instant retail.Instant retail is an evolution of traditional food delivery,expanding the concept from meals to virtually anything consumers might need.By integrating online ordering with rapid local fulfillment,it connects digital platforms with brick-and-mortar stores and leverages efficient delivery networks to bring goods to consumers within 30 to 60 minutes.With its speed,flexibility,and broad range of offerings,instant retail is rapidly becoming an everyday feature of urban life and is transforming the future of The Economy in Real Time retail.展开更多
The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for th...The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.展开更多
With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient pur...With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.展开更多
Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a we...Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.展开更多
This article first comprehensively analyzes the current development status of creative agriculture in Qinhuangdao City,pointing out that it has unique advantages in terms of resource endowments and cultural heritage.A...This article first comprehensively analyzes the current development status of creative agriculture in Qinhuangdao City,pointing out that it has unique advantages in terms of resource endowments and cultural heritage.Although it has achieved certain results in recent years,it still faces challenges such as low brand awareness,single marketing channels,and insufficient innovation in retail models.In terms of marketing strategy innovation,this article proposes innovative ideas such as digital marketing,cultural IP marketing,and experiential marketing.Regarding retail model innovation,this article explores models such as online and offline integration,community group buying,and live streaming sales.This article presents an outlook for the future development of creative agriculture in Qinhuangdao City based on the research findings.It is believed that with technological advancements and consumption upgrades,creative agriculture has broad prospects.展开更多
The rapid development of digital technologies has driven the emergence and popularization of online-to-offline(O2O)retail,reshaping the retail landscape in urban China.However,spatial distribution characteristics and ...The rapid development of digital technologies has driven the emergence and popularization of online-to-offline(O2O)retail,reshaping the retail landscape in urban China.However,spatial distribution characteristics and influencing mechanisms of emerging O2O retail have not been thoroughly investigated in extant studies.Taking the central urban area of Guangzhou as the case,this study utilized multi-source data and machine learning methods to explore the distribution characteristics of O2O retail space and to further identify the nonlinear effects of the built environment,sociodemographic,and economic factors on its distribution.The results revealed that O2O retail space exhibited a‘single-center’distribution pattern,in contrast to the‘multi-center’distribution pattern of traditional retail space.This finding supported the diffusion of innovation hypothesis,highlighting that the expansion of O2O retail modes first spread from traditional developed retail space.Furthermore,spatial heterogeneities were observed across different types of O2O retail space,with O2O in-store showing a‘core-periphery’spatial structure as described by Central Place Theory,whereas O2O delivery displaying a‘horizontal,non-hierarchical,and multi-centered’network structure following Central Flow Theory.Compared to traditional retail space,the distribution of O2O retail space was more influenced by sociodemographic factors such as the proportion of youth,education level,and income level,but less affected by the built environment factors like office and building density.Furthermore,nonlinear effects of these influencing factors on the distribution of O2O retail space were identified,which enriched the existing literature by highlighting effective ranges and threshold effects.These findings provided valuable insights into O2O retail space development in the context of digital transformation.展开更多
The paper aims at identifying the transformations in trade influenced by the main macroeconomic forces of trade companies in European countries in the 21st century. The author surveys the specialist literature dealing...The paper aims at identifying the transformations in trade influenced by the main macroeconomic forces of trade companies in European countries in the 21st century. The author surveys the specialist literature dealing with marketing and trade. On the basis of the research carried out, it has been established that the development of new retail formats （e.g. convenience shops, e-commerce）, which was influenced by the transformations in the macroeconomic environment of companies, was observed. At the same time, retail formats of hybrid character （e.g. discount convenience shops） have appeared and old well-known ones like department stores, supermarkets, or discount shops have strengthened their market position. The knowledge about the issues presented in the following paper has practical implications and can be helpful for managers of trade companies.展开更多
The role of 3PL in retail sector are explored and analyzed from the view of retailing and 3PL industry. Through the use of literature, market data and other relative information, the problems on both sides are identif...The role of 3PL in retail sector are explored and analyzed from the view of retailing and 3PL industry. Through the use of literature, market data and other relative information, the problems on both sides are identified by revealing the current application of 3PL in retail sector and the partnership between the retailers and 3PL providers is analyzed. A case study is also introduced in order to identify the difference between west and china on successful 3PL solution for retailers and specify the key fa...展开更多
Using the Hodges Ajne testing method, the uniformity of China retail price index was tested. The result, that population is submitting to uniform distribution, was obtained. The uniformity of CRPI indicates that the g...Using the Hodges Ajne testing method, the uniformity of China retail price index was tested. The result, that population is submitting to uniform distribution, was obtained. The uniformity of CRPI indicates that the general price level is stable in the Ninth Five Year Plan. Finally, the reasons causing the uniformity was analyzed.展开更多
Nowadays,new retail formats have been growing rapidly in China.Looking into the different retail formats'development deeply,a quantitative method'is proposed for comprehensive appraisal.The proposed method use...Nowadays,new retail formats have been growing rapidly in China.Looking into the different retail formats'development deeply,a quantitative method'is proposed for comprehensive appraisal.The proposed method uses the retail life cycle to structure the appraisal factors hierarchically as the criteria in the basic framework of the AHP,and obtains the weight of the criteria from ratio-scale matrices as well as the scores of the altemative retail formats from pairwise comparison matrices.And this method is applied to study the different developing level of three retail formats in Xi'an and their developing order is then gained.展开更多
Objective To investigate the genotypic diversity of Methicillin-resistant Staphylococcus aureus （MRSA） isolated from pigs and retail foods from different geographical areas in China and further to study the routes a...Objective To investigate the genotypic diversity of Methicillin-resistant Staphylococcus aureus （MRSA） isolated from pigs and retail foods from different geographical areas in China and further to study the routes and rates of transmission of this pathogen from animals to food. Methods Seventy-one MRSA isolates were obtained from pigs and retail foods and then characterized by multi-locus sequencing typing （MLST）, spa typing, multiple-locus variable number of tandem repeat analysis （MLVA）, pulsed-field gel electrophoresis （PFGE）, and antimicrobial susceptibility testing. Results All isolated MRSA exhibited multi-drug resistance （MDR）. Greater diversity was found in food-associated MRSA （7 STs, 8 spa types, and 10 MLVA patterns） compared to pig-associated MRSA （3 STs, 1 spa type, and 6 MLVA patterns）. PFGE patterns were more diverse for pig-associated MRSA than those of food-associated isolates （40 vs. 11 pulse types）. Among the pig-associated isolates, CC9-ST9-t899-MC2236 was the most prevalent clone （96.4%）, and CC9-ST9-t437-MC621 （20.0%） was the predominant clone among the food-associated isolates. The CC9-ST9 isolates showed significantly higher antimicrobial resistance than other clones. Interestingly, CC398-ST398-t034 clone was identified from both pig- and food-associated isolates. Of note, some community- and hospital-associated MRSA strains （t030, t172, t1244, and t4549） were also identified as food-associated isolates. Conclusion CC9-ST9-t899-MC2236-MDR was the most predominant clone in pigs, but significant genetic diversity was observed in food-associated MRSA. Our results demonstrate the great need for improved surveillance of MRSA in livestock and food and effective prevention strategies to limit MDR-MRSA infections in China.展开更多
The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which i...The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which involve resi- dential suburbanization, as well as new forms of commercial development out of town. As far as transforming China is concerned, the downtown retailing center has also come to turning point of development in the context of suburbaniza- tion. Based on the survey of Beijing residents’ shopping behavior, the present research tends to making clear the actual change and development problem of downtown retailing center. Combining with the macro retailing environment, re- lated influencing factors are further discussed too. Study results show that downtown retailing still plays an important part in resident’s shopping activity. However, with rapid urban sprawl, retailing in urban center has been greatly threatened by booming out-of-town commerce. In the course of such spatial change, the suburbanization of resident, the prevalence of new commercial forms and the change of consumers’ life style all have exerted their own pressure on downtown retailing. But for the special socioeconomic background of development and the support of government policy, it will still keep its vitality of retailing for a long period of time.展开更多
Background:This study aims to clarify the role of FinTech digital banking start-ups in the financial industry.We examine the impact of the funding of such start-ups on the stock returns of 47 incumbent US retail banks...Background:This study aims to clarify the role of FinTech digital banking start-ups in the financial industry.We examine the impact of the funding of such start-ups on the stock returns of 47 incumbent US retail banks for 2010 to 2016.Methods:To capture the importance of FinTech start-ups,we use data on both the dollar-volume of funding and number of deals.We relate these to the stock returns with panel data regression methods.Results:Our results indicate a positive relationship exists between the growth in FinTech funding or deals and the contemporaneous stock returns of incumbent retail banks.Conclusions:Although these results suggest complementarity between FinTech and traditional banking,we note that our results at the banking industry level are not statistically significant,and that the coefficient signs for about one-third of the banks are negative,but not statistically significant.Since the FinTech industry is young and our sample period short,we cannot rule out that our findings are spurious.展开更多
This paper establishes a short-term prediction model of weekly retail prices for eggs based on chaotic neural network with the weekly retail prices of eggs from January 2008 to December 2012 in China.In the process of...This paper establishes a short-term prediction model of weekly retail prices for eggs based on chaotic neural network with the weekly retail prices of eggs from January 2008 to December 2012 in China.In the process of determining the structure of the chaotic neural network,the number of input layer nodes of the network is calculated by reconstructing phase space and computing its saturated embedding dimension,and then the number of hidden layer nodes is estimated by trial and error.Finally,this model is applied to predict the retail prices of eggs and compared with ARIMA.The result shows that the chaotic neural network has better nonlinear fitting ability and higher precision in the prediction of weekly retail price of eggs.The empirical result also shows that the chaotic neural network can be widely used in the field of short-term prediction of agricultural prices.展开更多
Many studies have qualitatively explained that information and communication technology(ICT) has loosened the restrictions of distance and space on retailers' sales. Few empirical studies, however, have explored t...Many studies have qualitatively explained that information and communication technology(ICT) has loosened the restrictions of distance and space on retailers' sales. Few empirical studies, however, have explored the impact of shipping distance on online retailers' sales. This study examined the Maiyang(M-Y) store on Tmall in China as a case study to investigate the relationship between shipping distance and sales. The results showed that sales volume in 2014 at the county level did not strictly obey the distance decay law. The shipped distance of high-priced commodities may not be much longer than that of low-priced commodities. Within the scope of investigation, the relationships between income, cost, and net profit curves do not follow central place theory. Goods have neither thresholds nor ranges. The key factor in the spatial discrepancy of sales is the size of market. The impact of shipping distance on sales is not as strong as that of traditional retailers in Information Era.展开更多
Radio frequency identification(RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing(CEP) based RFID-enabled retail store ma...Radio frequency identification(RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing(CEP) based RFID-enabled retail store management is studied, particularly focusing on automated shelf replenishment decisions. We define different types of event queries to describe retailer store workflow action over the RFID data streams on multiple tagging levels(e.g., item level and container level). Non-deterministic finite automata(NFA)based evaluation models are used to detect event patterns. To manage pattern match results in the process of event detection, optimization algorithm is applied in the event model to share event detection results. A simulated RFID-enabled retail store is used to verify the effectiveness of the method, experiment results show that the algorithm is effective and could optimize retail store management workflow.展开更多
文摘In the competitive retail industry of the digital era,data-driven insights into gender-specific customer behavior are essential.They support the optimization of store performance,layout design,product placement,and targeted marketing.However,existing computer vision solutions often rely on facial recognition to gather such insights,raising significant privacy and ethical concerns.To address these issues,this paper presents a privacypreserving customer analytics system through two key strategies.First,we deploy a deep learning framework using YOLOv9s,trained on the RCA-TVGender dataset.Cameras are positioned perpendicular to observation areas to reduce facial visibility while maintaining accurate gender classification.Second,we apply AES-128 encryption to customer position data,ensuring secure access and regulatory compliance.Our system achieved overall performance,with 81.5%mAP@50,77.7%precision,and 75.7%recall.Moreover,a 90-min observational study confirmed the system’s ability to generate privacy-protected heatmaps revealing distinct behavioral patterns between male and female customers.For instance,women spent more time in certain areas and showed interest in different products.These results confirm the system’s effectiveness in enabling personalized layout and marketing strategies without compromising privacy.
基金supported by the World Health Organization Global Youth Tobacco Survey(WPDHP1206671)the Global Health Capacity Building and Tobacco Control Project:Tobacco Epidemic Monitoring and Comprehensive Tobacco Control Intervention。
文摘Adolescent smoking constitutes a critical public health challenge as early initiation increases the risk of premature mortality and smoking-related chronic diseases due to longer exposure and higher cumulative tobacco use^([1]).Adolescents are especially prone to developing persistent smoking habits,with many adult smokers having started before the age of 18.In China,16.7%of secondary school students have tried smoking and 4.7%are current smokers,highlighting the critical need for targeted tobacco control interventions among the youth.
文摘Aquick tap on your phone on your way to work has your usual co!ee arriving at the o"ce before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.Wake up at 2 a.m.with a sick child?Medicine is at your door within minutes.This is life with China’s rapidly developing sales model known as instant retail.Instant retail is an evolution of traditional food delivery,expanding the concept from meals to virtually anything consumers might need.By integrating online ordering with rapid local fulfillment,it connects digital platforms with brick-and-mortar stores and leverages efficient delivery networks to bring goods to consumers within 30 to 60 minutes.With its speed,flexibility,and broad range of offerings,instant retail is rapidly becoming an everyday feature of urban life and is transforming the future of The Economy in Real Time retail.
基金support by the Science and Technology Project of Guangdong Power Exchange Center Co.,Ltd.(No.GDKJXM20222599)National Natural Science Foundation of China(No.52207104)Natural Science Foundation of Guangdong Province(No.2024A1515010426).
文摘The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.
文摘With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.
文摘Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.
基金Research on the Development of Creative Agriculture in Qinhuangdao City(202401A213)。
文摘This article first comprehensively analyzes the current development status of creative agriculture in Qinhuangdao City,pointing out that it has unique advantages in terms of resource endowments and cultural heritage.Although it has achieved certain results in recent years,it still faces challenges such as low brand awareness,single marketing channels,and insufficient innovation in retail models.In terms of marketing strategy innovation,this article proposes innovative ideas such as digital marketing,cultural IP marketing,and experiential marketing.Regarding retail model innovation,this article explores models such as online and offline integration,community group buying,and live streaming sales.This article presents an outlook for the future development of creative agriculture in Qinhuangdao City based on the research findings.It is believed that with technological advancements and consumption upgrades,creative agriculture has broad prospects.
基金Under the auspices of National Natural Science Foundation of China(No.42271206)Guangdong Philosophy and Social Science Foundation(No.GD22XGL08)+1 种基金Basic and Applied Basic Research Foundation of Guangzhou(No.2024A04J4541)the Fundamental Research Funds for the Central Universities(No.2024ZYGXZR025,2024ZYGXZR003)。
文摘The rapid development of digital technologies has driven the emergence and popularization of online-to-offline(O2O)retail,reshaping the retail landscape in urban China.However,spatial distribution characteristics and influencing mechanisms of emerging O2O retail have not been thoroughly investigated in extant studies.Taking the central urban area of Guangzhou as the case,this study utilized multi-source data and machine learning methods to explore the distribution characteristics of O2O retail space and to further identify the nonlinear effects of the built environment,sociodemographic,and economic factors on its distribution.The results revealed that O2O retail space exhibited a‘single-center’distribution pattern,in contrast to the‘multi-center’distribution pattern of traditional retail space.This finding supported the diffusion of innovation hypothesis,highlighting that the expansion of O2O retail modes first spread from traditional developed retail space.Furthermore,spatial heterogeneities were observed across different types of O2O retail space,with O2O in-store showing a‘core-periphery’spatial structure as described by Central Place Theory,whereas O2O delivery displaying a‘horizontal,non-hierarchical,and multi-centered’network structure following Central Flow Theory.Compared to traditional retail space,the distribution of O2O retail space was more influenced by sociodemographic factors such as the proportion of youth,education level,and income level,but less affected by the built environment factors like office and building density.Furthermore,nonlinear effects of these influencing factors on the distribution of O2O retail space were identified,which enriched the existing literature by highlighting effective ranges and threshold effects.These findings provided valuable insights into O2O retail space development in the context of digital transformation.
文摘The paper aims at identifying the transformations in trade influenced by the main macroeconomic forces of trade companies in European countries in the 21st century. The author surveys the specialist literature dealing with marketing and trade. On the basis of the research carried out, it has been established that the development of new retail formats （e.g. convenience shops, e-commerce）, which was influenced by the transformations in the macroeconomic environment of companies, was observed. At the same time, retail formats of hybrid character （e.g. discount convenience shops） have appeared and old well-known ones like department stores, supermarkets, or discount shops have strengthened their market position. The knowledge about the issues presented in the following paper has practical implications and can be helpful for managers of trade companies.
文摘The role of 3PL in retail sector are explored and analyzed from the view of retailing and 3PL industry. Through the use of literature, market data and other relative information, the problems on both sides are identified by revealing the current application of 3PL in retail sector and the partnership between the retailers and 3PL providers is analyzed. A case study is also introduced in order to identify the difference between west and china on successful 3PL solution for retailers and specify the key fa...
文摘Using the Hodges Ajne testing method, the uniformity of China retail price index was tested. The result, that population is submitting to uniform distribution, was obtained. The uniformity of CRPI indicates that the general price level is stable in the Ninth Five Year Plan. Finally, the reasons causing the uniformity was analyzed.
基金sponsored by Soft Science Foundation of Xi'an(R200251)Innovation Foundation for postgraduate students of NWPU(Z20040069).
文摘Nowadays,new retail formats have been growing rapidly in China.Looking into the different retail formats'development deeply,a quantitative method'is proposed for comprehensive appraisal.The proposed method uses the retail life cycle to structure the appraisal factors hierarchically as the criteria in the basic framework of the AHP,and obtains the weight of the criteria from ratio-scale matrices as well as the scores of the altemative retail formats from pairwise comparison matrices.And this method is applied to study the different developing level of three retail formats in Xi'an and their developing order is then gained.
基金funded by the National Key R&D Program of China(2016YFD0401102)(the National Key Research and Development Program of China,the Ministry of Science and Technology of China)China Food Safety Talent Competency Development Initiative:CFSA 523 Program(1311613106702)
文摘Objective To investigate the genotypic diversity of Methicillin-resistant Staphylococcus aureus （MRSA） isolated from pigs and retail foods from different geographical areas in China and further to study the routes and rates of transmission of this pathogen from animals to food. Methods Seventy-one MRSA isolates were obtained from pigs and retail foods and then characterized by multi-locus sequencing typing （MLST）, spa typing, multiple-locus variable number of tandem repeat analysis （MLVA）, pulsed-field gel electrophoresis （PFGE）, and antimicrobial susceptibility testing. Results All isolated MRSA exhibited multi-drug resistance （MDR）. Greater diversity was found in food-associated MRSA （7 STs, 8 spa types, and 10 MLVA patterns） compared to pig-associated MRSA （3 STs, 1 spa type, and 6 MLVA patterns）. PFGE patterns were more diverse for pig-associated MRSA than those of food-associated isolates （40 vs. 11 pulse types）. Among the pig-associated isolates, CC9-ST9-t899-MC2236 was the most prevalent clone （96.4%）, and CC9-ST9-t437-MC621 （20.0%） was the predominant clone among the food-associated isolates. The CC9-ST9 isolates showed significantly higher antimicrobial resistance than other clones. Interestingly, CC398-ST398-t034 clone was identified from both pig- and food-associated isolates. Of note, some community- and hospital-associated MRSA strains （t030, t172, t1244, and t4549） were also identified as food-associated isolates. Conclusion CC9-ST9-t899-MC2236-MDR was the most predominant clone in pigs, but significant genetic diversity was observed in food-associated MRSA. Our results demonstrate the great need for improved surveillance of MRSA in livestock and food and effective prevention strategies to limit MDR-MRSA infections in China.
基金Under the auspices of the National Natural Science Foundation of China (No. 40171034)
文摘The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which involve resi- dential suburbanization, as well as new forms of commercial development out of town. As far as transforming China is concerned, the downtown retailing center has also come to turning point of development in the context of suburbaniza- tion. Based on the survey of Beijing residents’ shopping behavior, the present research tends to making clear the actual change and development problem of downtown retailing center. Combining with the macro retailing environment, re- lated influencing factors are further discussed too. Study results show that downtown retailing still plays an important part in resident’s shopping activity. However, with rapid urban sprawl, retailing in urban center has been greatly threatened by booming out-of-town commerce. In the course of such spatial change, the suburbanization of resident, the prevalence of new commercial forms and the change of consumers’ life style all have exerted their own pressure on downtown retailing. But for the special socioeconomic background of development and the support of government policy, it will still keep its vitality of retailing for a long period of time.
文摘Background:This study aims to clarify the role of FinTech digital banking start-ups in the financial industry.We examine the impact of the funding of such start-ups on the stock returns of 47 incumbent US retail banks for 2010 to 2016.Methods:To capture the importance of FinTech start-ups,we use data on both the dollar-volume of funding and number of deals.We relate these to the stock returns with panel data regression methods.Results:Our results indicate a positive relationship exists between the growth in FinTech funding or deals and the contemporaneous stock returns of incumbent retail banks.Conclusions:Although these results suggest complementarity between FinTech and traditional banking,we note that our results at the banking industry level are not statistically significant,and that the coefficient signs for about one-third of the banks are negative,but not statistically significant.Since the FinTech industry is young and our sample period short,we cannot rule out that our findings are spurious.
基金financially supported by the National KeyTechnology R&D Program during the 12th Five-Year Plan period(2012BAH20B04)the 948 Program of Ministry of Agriculture,China(2013-Z1)
文摘This paper establishes a short-term prediction model of weekly retail prices for eggs based on chaotic neural network with the weekly retail prices of eggs from January 2008 to December 2012 in China.In the process of determining the structure of the chaotic neural network,the number of input layer nodes of the network is calculated by reconstructing phase space and computing its saturated embedding dimension,and then the number of hidden layer nodes is estimated by trial and error.Finally,this model is applied to predict the retail prices of eggs and compared with ARIMA.The result shows that the chaotic neural network has better nonlinear fitting ability and higher precision in the prediction of weekly retail price of eggs.The empirical result also shows that the chaotic neural network can be widely used in the field of short-term prediction of agricultural prices.
基金Under the auspices of the National Planning Office of Philosophy and Social Science(No.17BRK010)National Natural Science Foundation of China(No.41601161)+1 种基金Natural Science Foundation of Guangdong Province(No.2017A030313224)Guangdong Planning Office of Philosophy and Social Science(No.2017GZZK16)
文摘Many studies have qualitatively explained that information and communication technology(ICT) has loosened the restrictions of distance and space on retailers' sales. Few empirical studies, however, have explored the impact of shipping distance on online retailers' sales. This study examined the Maiyang(M-Y) store on Tmall in China as a case study to investigate the relationship between shipping distance and sales. The results showed that sales volume in 2014 at the county level did not strictly obey the distance decay law. The shipped distance of high-priced commodities may not be much longer than that of low-priced commodities. Within the scope of investigation, the relationships between income, cost, and net profit curves do not follow central place theory. Goods have neither thresholds nor ranges. The key factor in the spatial discrepancy of sales is the size of market. The impact of shipping distance on sales is not as strong as that of traditional retailers in Information Era.
基金supported by National Social Science Fund (No. 16CTQ013)the Application Fundamental Research Foundation of Sichuan Province, China (No. 2017JY0011)the Key Project of Sichuan Provincial Department of Education, China (No. 2017GZ0333)
文摘Radio frequency identification(RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing(CEP) based RFID-enabled retail store management is studied, particularly focusing on automated shelf replenishment decisions. We define different types of event queries to describe retailer store workflow action over the RFID data streams on multiple tagging levels(e.g., item level and container level). Non-deterministic finite automata(NFA)based evaluation models are used to detect event patterns. To manage pattern match results in the process of event detection, optimization algorithm is applied in the event model to share event detection results. A simulated RFID-enabled retail store is used to verify the effectiveness of the method, experiment results show that the algorithm is effective and could optimize retail store management workflow.
