Volume 2, Issue 3, September 2017, Page: 86-95
A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies
Gui Ren, School of Business and Information Technology, Northwestern Polytechnic University, California, USA
Yann-Huang, School of Business and Information Technology, Northwestern Polytechnic University, California, USA
Jeng-Dau Wu, School of Business and Information Technology, Northwestern Polytechnic University, California, USA
Yu-Chen Lo, Department of Bioengineering, Stanford University, California, USA
Hiroshi Honda, Department of Computer System Engineering, Northwestern Polytechnic University, California, USA
Received: Jun. 30, 2017;       Accepted: Jul. 20, 2017;       Published: Aug. 15, 2017
DOI: 10.11648/j.ajdmkd.20170203.13      View  1736      Downloads  123
This report was intended to determine what factors affect online shoppers’ purchase intention in the e-business environment and to verify how organizations’ internal and external dynamics may underlie the success of e-commerce companies. Although the technology-acceptance model is widely accepted in research of e-commerce topics, the present study went beyond technology and targeted other factors that might have dramatic influence on online shoppers’ purchasing intention as well, a conceptual model and a number of hypotheses were proposed. The factor analysis and structural equation modeling (SEM) were adopted for statistical and empirical analyses. The results showed positive correlations among the identified factors indicating a great influence of innovative performance in different areas of management strategies on e-purchase intention; they also demonstrated the great impact from the awareness of sustainability development in e-commerce companies.
E-commerce, Sustainable Innovations, Management Strategies, E-purchase Intention, Path Analysis, SEM
To cite this article
Gui Ren, Yann-Huang, Jeng-Dau Wu, Yu-Chen Lo, Hiroshi Honda, A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies, American Journal of Data Mining and Knowledge Discovery. Vol. 2, No. 3, 2017, pp. 86-95. doi: 10.11648/j.ajdmkd.20170203.13
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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