American Journal of Data Mining and Knowledge Discovery

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

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.

DOI 10.11648/j.ajdmkd.20170203.13
Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 3, September 2017)
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), 2024. Published by Science Publishing Group

Keywords

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

References
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[17] Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in web-based decision support systems. Decision Support System, 37, 187-197.
[18] Hassan and Stephen (2005). Linking global market segmentation decisions with strategic positioning options. The Journal of Consumer Marketing, 22 (2/3), 81-89.
[19] Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Earlbaum Associates.
[20] Arbuckle, J. L., & Wothke, W. (1995). AMOS 4.0 user's guide. Chicago: Small Waters Corporation.
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Author Information
  • School of Business and Information Technology, Northwestern Polytechnic University, California, USA

  • School of Business and Information Technology, Northwestern Polytechnic University, California, USA

  • School of Business and Information Technology, Northwestern Polytechnic University, California, USA

  • Department of Bioengineering, Stanford University, California, USA

  • Department of Computer System Engineering, Northwestern Polytechnic University, California, USA

Cite This Article
  • 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://download.sciencepg.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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