Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived...Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived from consensus theory and includes structured analytics, categories, and the combination of evidence. The methodology is applicable to a wide range of business, economic, social, political, and strategic decisions. The paper describes a product allocation application to demonstrate the conceots.展开更多
The paper reports an experiment in China on individual investors' risk perception. The main findings are similar with the results in Matthias (2000), but the absolute value of correlation coefficients between risk ...The paper reports an experiment in China on individual investors' risk perception. The main findings are similar with the results in Matthias (2000), but the absolute value of correlation coefficients between risk measures and risk ratings are higher.展开更多
文摘Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived from consensus theory and includes structured analytics, categories, and the combination of evidence. The methodology is applicable to a wide range of business, economic, social, political, and strategic decisions. The paper describes a product allocation application to demonstrate the conceots.
基金This research is supported by National Natural Science Foundation of China(70571042)
文摘The paper reports an experiment in China on individual investors' risk perception. The main findings are similar with the results in Matthias (2000), but the absolute value of correlation coefficients between risk measures and risk ratings are higher.