A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies

Gui Ren; Yann-Huang; Jeng-Dau Wu; Yu-Chen Lo; Hiroshi Honda

doi:doi:10.11648/j.ajdmkd.20170203.13

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A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies

Gui Ren, Yann-Huang, Jeng-Dau Wu, Yu-Chen Lo, Hiroshi Honda

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 3)

Received: 30 June 2017 Accepted: 20 July 2017 Published: 15 August 2017

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Abstract

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.

Published in	American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 3)
DOI	10.11648/j.ajdmkd.20170203.13
Page(s)	86-95
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

E-commerce, Sustainable Innovations, Management Strategies, E-purchase Intention, Path Analysis, SEM

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APA Style

Gui Ren, Yann-Huang, Jeng-Dau Wu, Yu-Chen Lo, Hiroshi Honda. (2017). A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies. American Journal of Data Mining and Knowledge Discovery, 2(3), 86-95. https://doi.org/10.11648/j.ajdmkd.20170203.13

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ACS Style

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. Am. J. Data Min. Knowl. Discov. 2017, 2(3), 86-95. doi: 10.11648/j.ajdmkd.20170203.13

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AMA Style

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. Am J Data Min Knowl Discov. 2017;2(3):86-95. doi: 10.11648/j.ajdmkd.20170203.13

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@article{10.11648/j.ajdmkd.20170203.13,
  author = {Gui Ren and Yann-Huang and Jeng-Dau Wu and Yu-Chen Lo and Hiroshi Honda},
  title = {A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {3},
  pages = {86-95},
  doi = {10.11648/j.ajdmkd.20170203.13},
  url = {https://doi.org/10.11648/j.ajdmkd.20170203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170203.13},
  abstract = {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.},
 year = {2017}
}

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TY  - JOUR
T1  - A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies
AU  - Gui Ren
AU  - Yann-Huang
AU  - Jeng-Dau Wu
AU  - Yu-Chen Lo
AU  - Hiroshi Honda
Y1  - 2017/08/15
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170203.13
DO  - 10.11648/j.ajdmkd.20170203.13
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 86
EP  - 95
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170203.13
AB  - 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.
VL  - 2
IS  - 3
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Gui Ren, Yann-Huang, Jeng-Dau Wu, Yu-Chen Lo, Hiroshi Honda. (2017). A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies. American Journal of Data Mining and Knowledge Discovery, 2(3), 86-95. https://doi.org/10.11648/j.ajdmkd.20170203.13

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ACS Style

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. Am. J. Data Min. Knowl. Discov. 2017, 2(3), 86-95. doi: 10.11648/j.ajdmkd.20170203.13

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AMA Style

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. Am J Data Min Knowl Discov. 2017;2(3):86-95. doi: 10.11648/j.ajdmkd.20170203.13

Copy | Download

@article{10.11648/j.ajdmkd.20170203.13,
  author = {Gui Ren and Yann-Huang and Jeng-Dau Wu and Yu-Chen Lo and Hiroshi Honda},
  title = {A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {3},
  pages = {86-95},
  doi = {10.11648/j.ajdmkd.20170203.13},
  url = {https://doi.org/10.11648/j.ajdmkd.20170203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170203.13},
  abstract = {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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A Novel Innovation to Statistical Analysis Using Structural Equation Modeling on Management Strategies
AU  - Gui Ren
AU  - Yann-Huang
AU  - Jeng-Dau Wu
AU  - Yu-Chen Lo
AU  - Hiroshi Honda
Y1  - 2017/08/15
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170203.13
DO  - 10.11648/j.ajdmkd.20170203.13
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 86
EP  - 95
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170203.13
AB  - 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.
VL  - 2
IS  - 3
ER  -

Copy | Download