Key factors influencing the purchase intention of activewear: an empirical study of US consumers

2018 ◽  
Vol 12 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Lauren Watts ◽  
Ting Chi
Keyword(s):  
Empirical Study ◽  
Purchase Intention ◽  
Key Factors ◽  
Factors Influencing

scholarly journals Study on the Influencing Factors and Marketing Strategies of Purchase Intention of Children's Theme Publications

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Wenting Wang
Keyword(s):  
Purchase Intention ◽  
Publishing House ◽  
Economic Value ◽  
Marketing Strategies ◽  
Social Value ◽  
Social Benefits ◽  
Key Factors ◽  
Factors Influencing ◽  
Functional Value ◽  
Consumption Model

Children's themed publishing is the key work of children's publishing house. With the support of policy, children's themed publications have prominent social benefits, but at the same time, some children's themed publications are also facing the dilemma of "popular but not popular". In order to find the key factors influencing the development of consumers' purchase of children's themed publications, this paper empirically analyzes the factors of readers' preference for children's themed publications based on the Sheth-Newman-Gross value consumption model theory. The results show that functional value, social value and economic value are positively correlated with consumers' attitudes towards children's themed books. On the basis of empirical analysis, this paper puts forward some suggestions for marketing strategies of children themed publications. 

Forecasting of Medical Waste Generation Amount Based on GM (1, n) Model

2013 ◽  
Vol 726-731 ◽  
pp. 2850-2854 ◽  
Author(s):  
Hou Ming Fan ◽  
Tong Xuan Qi ◽  
Xiang Wei Mu
Keyword(s):  
Correlation Analysis ◽  
Empirical Study ◽  
Medical Service ◽  
Forecast Model ◽  
Medical Waste ◽  
Waste Generation ◽  
Forecast Method ◽  
Key Factors ◽  
Factors Influencing ◽  
Dalian City

This article first applied correlation analysis to identify the key factors in factors influencing people's medical service demands, such as the population, economy and people's living level and so on. Then, it built the forecast model of the medical waste generation amount based on the GM (1, n). finally, it took Dalian city as an example for empirical study. The results show the forecast method has higher accuracy, and it is a useful method for the prediction of the medical waste generation amount.

scholarly journals The Key Factors Influencing Internet Finances Services Satisfaction: An Empirical Study in Taiwan

2016 ◽  
Vol 06 (06) ◽  
pp. 748-762 ◽  
Author(s):  
Ming-Chih Chen ◽  
Shih-Shiunn Chen ◽  
Hung-Ming Yeh ◽  
Wei-Guang Tsaur
Keyword(s):  
Empirical Study ◽  
Key Factors ◽  
Factors Influencing
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