Objective To build a model to improve the customer value of drugstores,so as to enhance their core competitiveness and share the value between drugstores and customers.Methods The quality control circle(QCC)was used t...Objective To build a model to improve the customer value of drugstores,so as to enhance their core competitiveness and share the value between drugstores and customers.Methods The quality control circle(QCC)was used to establish the model based on the theory of customer life cycle.According to recency-frequencymonetary(RFM)model,a general value index evaluation system was constructed for customers in different life cycles,and an example was studied.Results and Conclusion The flow model of drugstore customer management system and the method of evaluating the customer value were designed.Taking the activities of the QCC in a drugstore as an example,the deficiencies of pharmaceutical care such as medication consultation,shortage of drug supply and irrational drug display were improved.It also promoted the transformation of customers from a starting period into stable period and improved the comprehensive value of customers,indicating that QCC was effective.Drugstores should carry out the QCC activities with different themes according to the characteristics of customers in different life circles.Meanwhile,suggestions from customers on improving the environment and facilities,service quality and management mechanism of the drugstores should be effectively adopted to promote the transformation of customers from the starting period to the stable period for the realization of the highest value.This will bring economic value to drugstores and achieve the value sharing between drugstores and customers.展开更多
Click-streams of online shopping are the tracks/trails of interactions between a customer and a vendor.We observe that it is of great importance both in theory and practice to explore a deep analysis method for analyz...Click-streams of online shopping are the tracks/trails of interactions between a customer and a vendor.We observe that it is of great importance both in theory and practice to explore a deep analysis method for analyzing click-stream information of an individual customer in a specific transaction for understanding the bidirectional value transfer within the machine-human interaction of an online store and for its personalization.We analyze the significance,the hierarchical structure and the characteristics of click-stream information and propose that Ricoeur's hermeneutic theory be the foundation of forming such a deep analysis method.Then we use the empirical context information of the click-stream to improve the naive interpretation put forward by Ricoeur.Moreover,we apply the Grounded Theory to extend the deep analysis of Ricoeur's theory of textual interpretation.The improved theory fits well with the needs of interpretation and the analysis of click-stream information.We exemplify and show the feasibility of this analysis method by using data collected(a single case)from a large study of human-computer interaction.展开更多
In this study, fatigue tests under different R ratios were conducted on the AZ61 Mg alloy to investigate its fatigue lifetimes and fatigue crack growth (FCG) behavior. The fracture surface of the failed specimens was ...In this study, fatigue tests under different R ratios were conducted on the AZ61 Mg alloy to investigate its fatigue lifetimes and fatigue crack growth (FCG) behavior. The fracture surface of the failed specimens was investigated using a scanning electron microscope to study the size of the intermetallic compounds from which the pioneer fatigue crack initiated and led to the final failure of the specimen. To determine the maximum size of the intermetallic compounds existing within the cross section of the specimen at higher risk, Gumbel’s extreme-value statistics were utilized. In the present study, the intermetallic compounds contained within the specimen were assumed to be the initial cracks existing in the material before the fatigue tests. A modified linear elastic fracture-mechanics parameter, M, proposed by McEvily et al., was used to analyze the short FCG behavior under different stress ratios, R. The relation between the rate of FCG and M parameter was found to be useful and appropriate for predicting the fatigue lifetimes under different R ratios. Moreover, the probabilistic stress-fatigue life (P-S-N) curve of the material under different R ratios could be predicted with this method, which utilizes both the FCG law and a statistical distribution of sizes of the most dangerous intermetallic compounds. The evaluated results were in good agreement with the experimental ones. This correspondence indicates that the estimation method proposed in the present study is effective for evaluation of the probabilistic stress-fatigue life (P-S-N) curve of the material under different R ratios.展开更多
Tennessee Williams is a prominent American dramatist and Poet Laureate after Eugene O’Neil.Cat on the Hot Tin Roof is praised as the pinnacle of his plays,awarded Pulitzer Prize for Drama and Drama Critics Award in 1...Tennessee Williams is a prominent American dramatist and Poet Laureate after Eugene O’Neil.Cat on the Hot Tin Roof is praised as the pinnacle of his plays,awarded Pulitzer Prize for Drama and Drama Critics Award in 1955.With the background of southern American family,the play consists of light and shade clues:the former centers on brothers’fighting for property;the latter focuses on hero Brick’s homosexual problem.The analysis of the convert of Brick’s role and thought aims at comprehending to a deep degree how Williams,a homosexual,exposes hideous humanity and hypocrisy society more thoroughly as well as shows his profound thinking of life value.展开更多
This contribution of this paper is devoted to the research results in the field of self-expression and self-image of the individual in the world of information processing and cognition. Marketing strategies help make ...This contribution of this paper is devoted to the research results in the field of self-expression and self-image of the individual in the world of information processing and cognition. Marketing strategies help make decisions that will help us to bring the subject to market activities. The current trend is a knowledge-based society, skills, abilities, information, storage, and transmission. Our marketing strategy focuses on four key issues： production, respectively service, price, distribution channels, and advertising. It is important to know how to develop an individual＇s current self-image. Implementation strategies are then engaged in transforming decisions into concrete action, meaning, and the decision has to be taken with regard to flexibility and acceptance. The sample consists of 4,420 respondents, men and women in three age groups： 0-15 years, 16-40 years, and 41-60 years. All responded to one question, ＂Where is your center？＂ Respondents had to show on their body. The question was chosen very sensitive, not to predict the answer. Terms soul, psyche, personality would be very manipulative, and therefore were excluded. In line with expectations, the majority of respondents have shown to their head, chest, and abdomen, but were also unconventional answers, in accordance with the preferred self-image and values of the individual. Lessons from research outputs were analyzed by the following processes： general description, item-total correlation, exploratory factor analysis of individual areas, and correlation analysis of individual items. It was found that medium correlations between area of body abdomen and age to 15 years were significant. Mean item-total correlation for areas of body were： Head was 0.35 and chest 0.43, and abdomen 0.22. In the descriptive statistics it was found that most respondents preferred the chest, followed by the head and abdomen. As for the distribution of respondents into three age groups, we found differences between men and women. Next, it was analyzed the relationship between the areas of the body and gender. Statistically significant differences were found on the chest, where women scored more than men, and it was also found significant differences in the abdominal area, where men scored more than women.展开更多
Customers are of great importance to E-commerce in intense competition.It is known that twenty percent customers produce eighty percent profiles.Thus,how to find these customers is very critical.Customer lifetime valu...Customers are of great importance to E-commerce in intense competition.It is known that twenty percent customers produce eighty percent profiles.Thus,how to find these customers is very critical.Customer lifetime value(CLV) is presented to evaluate customers in terms of recency,frequency and monetary(RFM) variables.A novel model is proposed to analyze customers purchase data and RFM variables based on ordered weighting averaging(OWA) and K-Means cluster algorithm.OWA is employed to determine the weights of RFM variables in evaluating customer lifetime value or loyalty.K-Means algorithm is used to cluster customers according to RFM values.Churn customers could be found out by comparing RFM values of every cluster group with average RFM.Questionnaire is conducted to investigate which reasons cause customers dissatisfaction.Rank these reasons to help E-commerce improve services.The experimental results have demonstrated that the model is effective and reasonable.展开更多
基金General Projects of Social Science Planning Fund of Liaoning Province:“Boost Healthy Liaoning——Research on Collaboration of Industry-University-Research in Pharmaceutical QCC”.No.L19BGL034Key Projects of Shenyang Social Science Fund.No.SYSK2020-04-01.
文摘Objective To build a model to improve the customer value of drugstores,so as to enhance their core competitiveness and share the value between drugstores and customers.Methods The quality control circle(QCC)was used to establish the model based on the theory of customer life cycle.According to recency-frequencymonetary(RFM)model,a general value index evaluation system was constructed for customers in different life cycles,and an example was studied.Results and Conclusion The flow model of drugstore customer management system and the method of evaluating the customer value were designed.Taking the activities of the QCC in a drugstore as an example,the deficiencies of pharmaceutical care such as medication consultation,shortage of drug supply and irrational drug display were improved.It also promoted the transformation of customers from a starting period into stable period and improved the comprehensive value of customers,indicating that QCC was effective.Drugstores should carry out the QCC activities with different themes according to the characteristics of customers in different life circles.Meanwhile,suggestions from customers on improving the environment and facilities,service quality and management mechanism of the drugstores should be effectively adopted to promote the transformation of customers from the starting period to the stable period for the realization of the highest value.This will bring economic value to drugstores and achieve the value sharing between drugstores and customers.
文摘Click-streams of online shopping are the tracks/trails of interactions between a customer and a vendor.We observe that it is of great importance both in theory and practice to explore a deep analysis method for analyzing click-stream information of an individual customer in a specific transaction for understanding the bidirectional value transfer within the machine-human interaction of an online store and for its personalization.We analyze the significance,the hierarchical structure and the characteristics of click-stream information and propose that Ricoeur's hermeneutic theory be the foundation of forming such a deep analysis method.Then we use the empirical context information of the click-stream to improve the naive interpretation put forward by Ricoeur.Moreover,we apply the Grounded Theory to extend the deep analysis of Ricoeur's theory of textual interpretation.The improved theory fits well with the needs of interpretation and the analysis of click-stream information.We exemplify and show the feasibility of this analysis method by using data collected(a single case)from a large study of human-computer interaction.
文摘In this study, fatigue tests under different R ratios were conducted on the AZ61 Mg alloy to investigate its fatigue lifetimes and fatigue crack growth (FCG) behavior. The fracture surface of the failed specimens was investigated using a scanning electron microscope to study the size of the intermetallic compounds from which the pioneer fatigue crack initiated and led to the final failure of the specimen. To determine the maximum size of the intermetallic compounds existing within the cross section of the specimen at higher risk, Gumbel’s extreme-value statistics were utilized. In the present study, the intermetallic compounds contained within the specimen were assumed to be the initial cracks existing in the material before the fatigue tests. A modified linear elastic fracture-mechanics parameter, M, proposed by McEvily et al., was used to analyze the short FCG behavior under different stress ratios, R. The relation between the rate of FCG and M parameter was found to be useful and appropriate for predicting the fatigue lifetimes under different R ratios. Moreover, the probabilistic stress-fatigue life (P-S-N) curve of the material under different R ratios could be predicted with this method, which utilizes both the FCG law and a statistical distribution of sizes of the most dangerous intermetallic compounds. The evaluated results were in good agreement with the experimental ones. This correspondence indicates that the estimation method proposed in the present study is effective for evaluation of the probabilistic stress-fatigue life (P-S-N) curve of the material under different R ratios.
文摘Tennessee Williams is a prominent American dramatist and Poet Laureate after Eugene O’Neil.Cat on the Hot Tin Roof is praised as the pinnacle of his plays,awarded Pulitzer Prize for Drama and Drama Critics Award in 1955.With the background of southern American family,the play consists of light and shade clues:the former centers on brothers’fighting for property;the latter focuses on hero Brick’s homosexual problem.The analysis of the convert of Brick’s role and thought aims at comprehending to a deep degree how Williams,a homosexual,exposes hideous humanity and hypocrisy society more thoroughly as well as shows his profound thinking of life value.
文摘This contribution of this paper is devoted to the research results in the field of self-expression and self-image of the individual in the world of information processing and cognition. Marketing strategies help make decisions that will help us to bring the subject to market activities. The current trend is a knowledge-based society, skills, abilities, information, storage, and transmission. Our marketing strategy focuses on four key issues： production, respectively service, price, distribution channels, and advertising. It is important to know how to develop an individual＇s current self-image. Implementation strategies are then engaged in transforming decisions into concrete action, meaning, and the decision has to be taken with regard to flexibility and acceptance. The sample consists of 4,420 respondents, men and women in three age groups： 0-15 years, 16-40 years, and 41-60 years. All responded to one question, ＂Where is your center？＂ Respondents had to show on their body. The question was chosen very sensitive, not to predict the answer. Terms soul, psyche, personality would be very manipulative, and therefore were excluded. In line with expectations, the majority of respondents have shown to their head, chest, and abdomen, but were also unconventional answers, in accordance with the preferred self-image and values of the individual. Lessons from research outputs were analyzed by the following processes： general description, item-total correlation, exploratory factor analysis of individual areas, and correlation analysis of individual items. It was found that medium correlations between area of body abdomen and age to 15 years were significant. Mean item-total correlation for areas of body were： Head was 0.35 and chest 0.43, and abdomen 0.22. In the descriptive statistics it was found that most respondents preferred the chest, followed by the head and abdomen. As for the distribution of respondents into three age groups, we found differences between men and women. Next, it was analyzed the relationship between the areas of the body and gender. Statistically significant differences were found on the chest, where women scored more than men, and it was also found significant differences in the abdominal area, where men scored more than women.
基金supported by the Natural Science Foundation under Grant Nos.71273139,60804047the Social Science Foundation of Chinese Ministry of Education under Grant No.12YJC630271
文摘Customers are of great importance to E-commerce in intense competition.It is known that twenty percent customers produce eighty percent profiles.Thus,how to find these customers is very critical.Customer lifetime value(CLV) is presented to evaluate customers in terms of recency,frequency and monetary(RFM) variables.A novel model is proposed to analyze customers purchase data and RFM variables based on ordered weighting averaging(OWA) and K-Means cluster algorithm.OWA is employed to determine the weights of RFM variables in evaluating customer lifetime value or loyalty.K-Means algorithm is used to cluster customers according to RFM values.Churn customers could be found out by comparing RFM values of every cluster group with average RFM.Questionnaire is conducted to investigate which reasons cause customers dissatisfaction.Rank these reasons to help E-commerce improve services.The experimental results have demonstrated that the model is effective and reasonable.
