The paper studies on case-based reasoning of uncertain product attributes in configuration design of a product family. Interval numbers characterize uncertain product attributes. By interpolating a number of certain v...The paper studies on case-based reasoning of uncertain product attributes in configuration design of a product family. Interval numbers characterize uncertain product attributes. By interpolating a number of certain values randomly to replace interval numbers and making projection pursuit analysis on source cases and target cases of expanded numbers, we can get a projection value in the optimal projection direction. Based on projection value, we can construct a case retrieval model of projection pursuit that can handle coexisting certain and uncertain product attributes. The application examples of chainsaw configuration design show that case retrieval is highly sensitive to reliable results.展开更多
The current study represents an attempt at exploring product attribute, service attribute evaluation, and buyer regret influence overall satisfaction in the buyer decision context. The data used in the project were co...The current study represents an attempt at exploring product attribute, service attribute evaluation, and buyer regret influence overall satisfaction in the buyer decision context. The data used in the project were collected as part of a large study of buyer regret. The sampling frame consisted of automobile purchases in Taiwan We have collected yield 600 questionnaires, by screening out 44 questionnaires, including those missing value or incomplete answer, and finally a usable sample of 556 questionnaires were utilized in this study. The results reinforce the finding form early research that the concept of buyer regret plays an important role for automobile purchases in the buyer decision. Results show that higher evaluations of service and product attributes lead to less buyer regret, and lower buyer regret will likely to increase overall satisfaction. Specifically, the finding indicates that buyer regret mediates the effects of the attributes on overall satisfactions. Implications for marketing theory and practitioners are discussed, and possible directions for future research are sketched.展开更多
This research explores what product attributes consumers value and how consumer face consciousness influences ecological product preference. Study I shows that environmental attribute enhances product preference to a ...This research explores what product attributes consumers value and how consumer face consciousness influences ecological product preference. Study I shows that environmental attribute enhances product preference to a greater extent when consumers value gentleness-related attributes more than strength-related attributes. However, when the strength-related attributes are valued, the benefit of environmental attribute is attenuated, and sometimes even leads to greater preference for non-ecological products. Study lI reveals that Chinese consumers with high face consciousness show a significant difference between explicit and implicit preferences for ecological products. In other words, these consumers believe in only their own preference for ecological products. In contrast, Chinese consumers with low face consciousness show no difference between explicit and implicit preferences, i.e., they believe that other people prefer ecological products as much as they do.展开更多
The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further ...The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further studies the configuration of product function attributes.Firstly,the Hadoop platform was used to perform product attribute data participle and feature word extraction based on Apriori algorithm was used to mine product customer demand information.And then the MapReduce model on the big data platform was applied into efficient parallel data processing,obtaining product attributes with research value,and their weights and attribute levels.After that,the cloud model and the MNL model were employed to construct the product function attribute configuration model,and the improved artificial bee colony algorithm was used to solve the model.The optimal solution of the product function attribute configuration model was got.Finally,an example was given to illustrate the feasibility of the proposed method in this paper.展开更多
Self-driving and recreational vehicle(RV)camps are a new form of industry module with the integration of transportation and tourism in China,thus the scientific and reasonable site selection plays an important role in...Self-driving and recreational vehicle(RV)camps are a new form of industry module with the integration of transportation and tourism in China,thus the scientific and reasonable site selection plays an important role in the success of camps’construction and operation.In terms of relying resources and development factors,camps can be divided into five categories:scenic-spot-based,transportation-based,environment-based,project-based and leisure and vacation-based.According to whether it is of excludability and competitiveness,the camps in China mainly embody the attribute of private products.Based on the combination of subjective evaluation and objective calculation,the evaluation model of spatial site selection is constructed and the weight of each index is calculated by using analytic hierarchy process(AHP)method and entropy coefficient method.The results show that traffic condition factor is the priority to the selection of campsite,and whether it is on the popular main self-driving route and the grade of trunk roads are the dominant indices.The second factor taken into consideration is the social factors,in which government policy supports and land cost play a key role.The third factor is the market,in which the urban economic level,partnership with the government and tourist resource conditionsare of great importance.The fourth factor of the campsite selection includes natural elements,in which the quality of ecological environment and water source conditions are mostly considered.In the future,it is suggested that a camp pattern of"public goods"plus"private goods"should be built and the construction of camps in underdeveloped areas should be highly developed so as to form camp spatial network from individual points to a series of campsite and finally the campsite group in China will be set up.展开更多
文摘The paper studies on case-based reasoning of uncertain product attributes in configuration design of a product family. Interval numbers characterize uncertain product attributes. By interpolating a number of certain values randomly to replace interval numbers and making projection pursuit analysis on source cases and target cases of expanded numbers, we can get a projection value in the optimal projection direction. Based on projection value, we can construct a case retrieval model of projection pursuit that can handle coexisting certain and uncertain product attributes. The application examples of chainsaw configuration design show that case retrieval is highly sensitive to reliable results.
文摘The current study represents an attempt at exploring product attribute, service attribute evaluation, and buyer regret influence overall satisfaction in the buyer decision context. The data used in the project were collected as part of a large study of buyer regret. The sampling frame consisted of automobile purchases in Taiwan We have collected yield 600 questionnaires, by screening out 44 questionnaires, including those missing value or incomplete answer, and finally a usable sample of 556 questionnaires were utilized in this study. The results reinforce the finding form early research that the concept of buyer regret plays an important role for automobile purchases in the buyer decision. Results show that higher evaluations of service and product attributes lead to less buyer regret, and lower buyer regret will likely to increase overall satisfaction. Specifically, the finding indicates that buyer regret mediates the effects of the attributes on overall satisfactions. Implications for marketing theory and practitioners are discussed, and possible directions for future research are sketched.
基金This work is supported by the National Science Foundation of China （No. 70972078）, the Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education （No. 08JZD0019）, and the Fundamental Research Funds for the Central Universities, Sun Yat-Sen University.
文摘This research explores what product attributes consumers value and how consumer face consciousness influences ecological product preference. Study I shows that environmental attribute enhances product preference to a greater extent when consumers value gentleness-related attributes more than strength-related attributes. However, when the strength-related attributes are valued, the benefit of environmental attribute is attenuated, and sometimes even leads to greater preference for non-ecological products. Study lI reveals that Chinese consumers with high face consciousness show a significant difference between explicit and implicit preferences for ecological products. In other words, these consumers believe in only their own preference for ecological products. In contrast, Chinese consumers with low face consciousness show no difference between explicit and implicit preferences, i.e., they believe that other people prefer ecological products as much as they do.
基金the National Natural Science Foundation of China granted 71961005the Guangxi Science and Technology Program granted 1598007-15.
文摘The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further studies the configuration of product function attributes.Firstly,the Hadoop platform was used to perform product attribute data participle and feature word extraction based on Apriori algorithm was used to mine product customer demand information.And then the MapReduce model on the big data platform was applied into efficient parallel data processing,obtaining product attributes with research value,and their weights and attribute levels.After that,the cloud model and the MNL model were employed to construct the product function attribute configuration model,and the improved artificial bee colony algorithm was used to solve the model.The optimal solution of the product function attribute configuration model was got.Finally,an example was given to illustrate the feasibility of the proposed method in this paper.
基金sponsored by the National Social Science Fund of China(grant number 20&ZD099)with the project name“research on the spatial effects of China’s cross regional major infrastructure”。
文摘Self-driving and recreational vehicle(RV)camps are a new form of industry module with the integration of transportation and tourism in China,thus the scientific and reasonable site selection plays an important role in the success of camps’construction and operation.In terms of relying resources and development factors,camps can be divided into five categories:scenic-spot-based,transportation-based,environment-based,project-based and leisure and vacation-based.According to whether it is of excludability and competitiveness,the camps in China mainly embody the attribute of private products.Based on the combination of subjective evaluation and objective calculation,the evaluation model of spatial site selection is constructed and the weight of each index is calculated by using analytic hierarchy process(AHP)method and entropy coefficient method.The results show that traffic condition factor is the priority to the selection of campsite,and whether it is on the popular main self-driving route and the grade of trunk roads are the dominant indices.The second factor taken into consideration is the social factors,in which government policy supports and land cost play a key role.The third factor is the market,in which the urban economic level,partnership with the government and tourist resource conditionsare of great importance.The fourth factor of the campsite selection includes natural elements,in which the quality of ecological environment and water source conditions are mostly considered.In the future,it is suggested that a camp pattern of"public goods"plus"private goods"should be built and the construction of camps in underdeveloped areas should be highly developed so as to form camp spatial network from individual points to a series of campsite and finally the campsite group in China will be set up.
