China is the world’s leading textile and apparel producer,but as China’s economy rapidly develops,all eyes are focused on the other end of the cotton supply chain--Chinese consumers. China’s middle class (with hous...China is the world’s leading textile and apparel producer,but as China’s economy rapidly develops,all eyes are focused on the other end of the cotton supply chain--Chinese consumers. China’s middle class (with household incomes of＄8,300 to＄68,800) has grown 22% in the last two years,to reach 80 million,and is expected to increase nearly tenfold by 2020 (according to Euromonitor,July 2007).As the disposable展开更多
Mood-driven purchases of both goods and services are on the rise,emerging as the new engine driving consumption.MINIATURE decorative green banana trees called“No Anxiety”(a word play on the Chinese words“don’t be ...Mood-driven purchases of both goods and services are on the rise,emerging as the new engine driving consumption.MINIATURE decorative green banana trees called“No Anxiety”(a word play on the Chinese words“don’t be a green banana”),blind boxes,mountain hiking companions,and AI chat pals-many products and services that were dismissed as useless or worthless years ago are now gaining popularity among young consumers.Behind this trend is the increase in consumer spending,driven more by emotions than practical needs.展开更多
Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three ...Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.展开更多
ChemChina agreed to purchase the largest plastic manufacturer Qenos Corp. from Orica Co., Ltd and Exxon Mobil Co., Ltd with the exchange price of $150 million.Orica Co., Ltd announced on Nov. 7 that China’s chemical ...ChemChina agreed to purchase the largest plastic manufacturer Qenos Corp. from Orica Co., Ltd and Exxon Mobil Co., Ltd with the exchange price of $150 million.Orica Co., Ltd announced on Nov. 7 that China’s chemical company pur-chased Qenos Corp. from Orica Co., Ltd., the world’s largest business dynamite manufacturer, and Exxon Mobil Co., Ltd that is the world’s largest petroleum corporation.It is released that ChemChina will pay AU$200 million for Qenos Corp.,展开更多
Xiangtan Electrochemical Scientific Co.,Ltd.(SZ:002125)announced on December 7th that the company plans to purchase operating as-sets related to the electrolytic
At the asset auction Sichuan FuyuanChemical Group Corporation success-fully purchased Hunan LengshuijiangSoda Plant at a price of RMB74 million.Lengshuijiang Soda Plant has morethan 1700 active employees and over1100 ...At the asset auction Sichuan FuyuanChemical Group Corporation success-fully purchased Hunan LengshuijiangSoda Plant at a price of RMB74 million.Lengshuijiang Soda Plant has morethan 1700 active employees and over1100 of the total have jobs.It is thelargest soda ash producer in Hunan.展开更多
Zhuhai Huafa Industrial Co.,Ltd.(Zhuhai Huafa,SZ:000020) announced on June 10th that it had already signed a contract with its controlling share-holder Wuhan Zhongheng New Technology In-dustry Group Co.,Ltd.(Wuhan Zho...Zhuhai Huafa Industrial Co.,Ltd.(Zhuhai Huafa,SZ:000020) announced on June 10th that it had already signed a contract with its controlling share-holder Wuhan Zhongheng New Technology In-dustry Group Co.,Ltd.(Wuhan Zhongheng)on purchasing assets related to the production ofinjection-molded products from WuhanZhongheng with RMB27 million in cash.The Injection Molding Plant subordinate展开更多
Luckyfilm Co.,Ltd.(600135)plans to purchase an AEC(advanced emulsion cooperation)production line from its con-trolling shareholder Lucky Film Group at a price of RMB28.5203
Ship outfitting is a key process in shipbuilding.Efficient and high-quality ship outfitting is a top priority for modern shipyards.These activities are conducted at different stations of shipyards.The outfitting plan ...Ship outfitting is a key process in shipbuilding.Efficient and high-quality ship outfitting is a top priority for modern shipyards.These activities are conducted at different stations of shipyards.The outfitting plan is one of the crucial issues in shipbuilding.In this paper,production scheduling and material ordering with endogenous uncertainty of the outfitting process are investigated.The uncertain factors in outfitting equipment production are usually decision-related,which leads to difficulties in addressing uncertainties in the outfitting production workshops before production is conducted according to plan.This uncertainty is regarded as endogenous uncertainty and can be treated as non-anticipativity constraints in the model.To address this problem,a stochastic two-stage programming model with endogenous uncertainty is established to optimize the outfitting job scheduling and raw material ordering process.A practical case of the shipyard of China Merchants Heavy Industry Co.,Ltd.is used to evaluate the performance of the proposed method.Satisfactory results are achieved at the lowest expected total cost as the complete kit rate of outfitting equipment is improved and emergency replenishment is reduced.展开更多
China introduces a range of policies aimed at elevating the role of consumption as a growth driver.Foreign tourists landing in China now have one more reason to spend.With the roll-out of a new“refund-upon-purchase”...China introduces a range of policies aimed at elevating the role of consumption as a growth driver.Foreign tourists landing in China now have one more reason to spend.With the roll-out of a new“refund-upon-purchase”tax rebate scheme,shopping has never been more convenient for overseas visitors.展开更多
Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.T...Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.The study investigates the impact of content cues which influence on purchasing intention towards cosmetic brands in Bangladesh.Purpose:The basic purpose of this study was to evaluate the factors influencing consumers’purchasing intentions for cosmetic brands in Bangladesh.Specifically,the study explored the roles of various cosmetic-related attributes and their impact on purchasing intentions within the context of Bangladesh’s cosmetic industry.Research methods:A quantitative research approach was adopted,and data were collected through a structured survey targeting Bangladeshi consumers who frequently engage with cosmetic products.All the valid responses were analyzed using SmartPLS 4.0 to perform structural equation modeling.Research findings:The findings revealed that trust in cosmetic brands and competitive pricing significantly influence consumers’purchasing intentions,highlighting the importance of fostering trust and affordability.However,certain constructs,such as ethnocentric tendencies and concerns about ingredient safety,showed limited impact on consumers’decisions.Conclusion:This study contributes to the existing literature by offering empirical insights into the Bangladeshi context,particularly within the rapidly growing cosmetics market.The findings provide actionable recommendations for cosmetic brands aiming to strengthen their market position through trust-building initiatives,competitive pricing strategies,and educational campaigns to enhance consumer awareness.These insights are particularly relevant for marketing practitioners seeking to understand and respond to the unique dynamics of the Bangladeshi cosmetics industry.展开更多
Everyone experiences learning new things in their lives,and I am no exception.Today,I want to share my journey of learning how to skateboard.I still remember the summer vacation when I was seven years old.One day,I sa...Everyone experiences learning new things in their lives,and I am no exception.Today,I want to share my journey of learning how to skateboard.I still remember the summer vacation when I was seven years old.One day,I saw some older kids skating in our neighborhood,zooming back and forth on their skateboards.“Wow!They look so cool!”I thought to myself.I immediately decided that I wanted to try it too,so I begged-level my mom to buy me a beginner-level skateboard.展开更多
The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook communi...The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook community groups in Vietnam.Respondents to the questionnaires were consumers of those places in Vietnam,which were randomly selected.Finally,SEM analysis was used on the data to test the hypotheses of the study.The study identified that“Subjective norms”and“Consumer attitudes”have no effect on shopping behavior on e-commerce platforms,while“Perceived behavioral control”is most affected and“Perceived risks”are least affected on shopping behavior.展开更多
49.2% In November,the Purchasing Managers'Index (PMI) for the manufacturing sector reached 49.2%,up 0.2%from the previous month.The modest rebound in the PMI indicates a slight improvement in the sector's over...49.2% In November,the Purchasing Managers'Index (PMI) for the manufacturing sector reached 49.2%,up 0.2%from the previous month.The modest rebound in the PMI indicates a slight improvement in the sector's overall business climate.展开更多
Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big im...Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big impact on opinions and buying decisions.Therefore,the objective of this research was to examine the influence of social media(online reviews,social media influencers,eWOM,advertisements,social media usage laws,and information)on consumers’purchase decisions of electronic products.Guided by the theory of planned behavior and social influence theory,a quantitative approach was used,with data collected via a structured questionnaire from 150 respondents over four weeks.Analysis was conducted using SPSS 30.SPSS analysis demonstrated that social media usage laws and social media influencers had a strong positive correlation with consumers’purchase decisions,highlighting their pivotal role in shaping preferences and disseminating information.Reliable and accessible product information also emerged as a significant predictor of consumer choices.In contrast,online reviews,eWOM,and advertisements exhibited minimal influence within this context or might have adverse influence.This article provides guidelines for electronic products to prioritize social media strategies,invest in high-quality information dissemination,and leverage influencer partnerships to effectively engage consumers and drive sales.展开更多
In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits...In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.展开更多
文摘China is the world’s leading textile and apparel producer,but as China’s economy rapidly develops,all eyes are focused on the other end of the cotton supply chain--Chinese consumers. China’s middle class (with household incomes of＄8,300 to＄68,800) has grown 22% in the last two years,to reach 80 million,and is expected to increase nearly tenfold by 2020 (according to Euromonitor,July 2007).As the disposable
文摘Mood-driven purchases of both goods and services are on the rise,emerging as the new engine driving consumption.MINIATURE decorative green banana trees called“No Anxiety”(a word play on the Chinese words“don’t be a green banana”),blind boxes,mountain hiking companions,and AI chat pals-many products and services that were dismissed as useless or worthless years ago are now gaining popularity among young consumers.Behind this trend is the increase in consumer spending,driven more by emotions than practical needs.
基金supported by the research fund of Hanyang University(HY-202500000001616).
文摘Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.
文摘ChemChina agreed to purchase the largest plastic manufacturer Qenos Corp. from Orica Co., Ltd and Exxon Mobil Co., Ltd with the exchange price of $150 million.Orica Co., Ltd announced on Nov. 7 that China’s chemical company pur-chased Qenos Corp. from Orica Co., Ltd., the world’s largest business dynamite manufacturer, and Exxon Mobil Co., Ltd that is the world’s largest petroleum corporation.It is released that ChemChina will pay AU$200 million for Qenos Corp.,
文摘Xiangtan Electrochemical Scientific Co.,Ltd.(SZ:002125)announced on December 7th that the company plans to purchase operating as-sets related to the electrolytic
文摘At the asset auction Sichuan FuyuanChemical Group Corporation success-fully purchased Hunan LengshuijiangSoda Plant at a price of RMB74 million.Lengshuijiang Soda Plant has morethan 1700 active employees and over1100 of the total have jobs.It is thelargest soda ash producer in Hunan.
文摘Zhuhai Huafa Industrial Co.,Ltd.(Zhuhai Huafa,SZ:000020) announced on June 10th that it had already signed a contract with its controlling share-holder Wuhan Zhongheng New Technology In-dustry Group Co.,Ltd.(Wuhan Zhongheng)on purchasing assets related to the production ofinjection-molded products from WuhanZhongheng with RMB27 million in cash.The Injection Molding Plant subordinate
文摘Luckyfilm Co.,Ltd.(600135)plans to purchase an AEC(advanced emulsion cooperation)production line from its con-trolling shareholder Lucky Film Group at a price of RMB28.5203
基金supported in part by the High-tech ship scientific research project of the Ministry of Industry and Information Technology of the People’s Republic of China,and the National Nature Science Foundation of China(Grant No.71671113)the Science and Technology Department of Shaanxi Province(No.2020GY-219)the Ministry of Education Collaborative Project of Production,Learning and Research(No.201901024016).
文摘Ship outfitting is a key process in shipbuilding.Efficient and high-quality ship outfitting is a top priority for modern shipyards.These activities are conducted at different stations of shipyards.The outfitting plan is one of the crucial issues in shipbuilding.In this paper,production scheduling and material ordering with endogenous uncertainty of the outfitting process are investigated.The uncertain factors in outfitting equipment production are usually decision-related,which leads to difficulties in addressing uncertainties in the outfitting production workshops before production is conducted according to plan.This uncertainty is regarded as endogenous uncertainty and can be treated as non-anticipativity constraints in the model.To address this problem,a stochastic two-stage programming model with endogenous uncertainty is established to optimize the outfitting job scheduling and raw material ordering process.A practical case of the shipyard of China Merchants Heavy Industry Co.,Ltd.is used to evaluate the performance of the proposed method.Satisfactory results are achieved at the lowest expected total cost as the complete kit rate of outfitting equipment is improved and emergency replenishment is reduced.
文摘China introduces a range of policies aimed at elevating the role of consumption as a growth driver.Foreign tourists landing in China now have one more reason to spend.With the roll-out of a new“refund-upon-purchase”tax rebate scheme,shopping has never been more convenient for overseas visitors.
基金Correspondence concerning this article should be addressed to Meher Neger,Comilla University,Comilla,Bangladesh.
文摘Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.The study investigates the impact of content cues which influence on purchasing intention towards cosmetic brands in Bangladesh.Purpose:The basic purpose of this study was to evaluate the factors influencing consumers’purchasing intentions for cosmetic brands in Bangladesh.Specifically,the study explored the roles of various cosmetic-related attributes and their impact on purchasing intentions within the context of Bangladesh’s cosmetic industry.Research methods:A quantitative research approach was adopted,and data were collected through a structured survey targeting Bangladeshi consumers who frequently engage with cosmetic products.All the valid responses were analyzed using SmartPLS 4.0 to perform structural equation modeling.Research findings:The findings revealed that trust in cosmetic brands and competitive pricing significantly influence consumers’purchasing intentions,highlighting the importance of fostering trust and affordability.However,certain constructs,such as ethnocentric tendencies and concerns about ingredient safety,showed limited impact on consumers’decisions.Conclusion:This study contributes to the existing literature by offering empirical insights into the Bangladeshi context,particularly within the rapidly growing cosmetics market.The findings provide actionable recommendations for cosmetic brands aiming to strengthen their market position through trust-building initiatives,competitive pricing strategies,and educational campaigns to enhance consumer awareness.These insights are particularly relevant for marketing practitioners seeking to understand and respond to the unique dynamics of the Bangladeshi cosmetics industry.
文摘Everyone experiences learning new things in their lives,and I am no exception.Today,I want to share my journey of learning how to skateboard.I still remember the summer vacation when I was seven years old.One day,I saw some older kids skating in our neighborhood,zooming back and forth on their skateboards.“Wow!They look so cool!”I thought to myself.I immediately decided that I wanted to try it too,so I begged-level my mom to buy me a beginner-level skateboard.
文摘The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook community groups in Vietnam.Respondents to the questionnaires were consumers of those places in Vietnam,which were randomly selected.Finally,SEM analysis was used on the data to test the hypotheses of the study.The study identified that“Subjective norms”and“Consumer attitudes”have no effect on shopping behavior on e-commerce platforms,while“Perceived behavioral control”is most affected and“Perceived risks”are least affected on shopping behavior.
文摘49.2% In November,the Purchasing Managers'Index (PMI) for the manufacturing sector reached 49.2%,up 0.2%from the previous month.The modest rebound in the PMI indicates a slight improvement in the sector's overall business climate.
文摘Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big impact on opinions and buying decisions.Therefore,the objective of this research was to examine the influence of social media(online reviews,social media influencers,eWOM,advertisements,social media usage laws,and information)on consumers’purchase decisions of electronic products.Guided by the theory of planned behavior and social influence theory,a quantitative approach was used,with data collected via a structured questionnaire from 150 respondents over four weeks.Analysis was conducted using SPSS 30.SPSS analysis demonstrated that social media usage laws and social media influencers had a strong positive correlation with consumers’purchase decisions,highlighting their pivotal role in shaping preferences and disseminating information.Reliable and accessible product information also emerged as a significant predictor of consumer choices.In contrast,online reviews,eWOM,and advertisements exhibited minimal influence within this context or might have adverse influence.This article provides guidelines for electronic products to prioritize social media strategies,invest in high-quality information dissemination,and leverage influencer partnerships to effectively engage consumers and drive sales.
文摘In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.
