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The Application of Structural Equation Models in Industry: Tendencies

Author

Listed:
  • García-Alcaraz Jl
  • Diaz-Reza R.
  • Hernández-Arellano Jl
  • Cortes-Robles G.

Abstract

Modeling the cause and effect is traditionally solved using some regression technique when the independent and dependent variables are continuous or measurable. Often, however, the variables are constructs or dimensions and their measurement is given by several other variables, such as in the case of industrial productivity and then traditional methods do not apply. For solve that problem, the structural equation modeling is applied in social sciences and engineering, and recently there is reported a lot industry applications. This article reports a literature review, which was performed in different databases, such as Sciencedirect, Web of Science, Springer, among others. The industrysector, educational institutions, author´s country, year of publication, the journal´s name, among other variables were analyzed. It has been found that countries with more publications is the United States of America and Spain, but the best academic and consolidated research groups are in Spain, Mexico, Finland, Cyprus, among other countries. The journal that published these issues is Industrial Marketing Management.

Suggested Citation

  • García-Alcaraz Jl & Diaz-Reza R. & Hernández-Arellano Jl & Cortes-Robles G., 2014. "The Application of Structural Equation Models in Industry: Tendencies," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(10), pages 429-444.
  • Handle: RePEc:rss:jnljms:v4i10p3
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    References listed on IDEAS

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    1. Abu Saleh, Md. & Yunus Ali, M. & Julian, Craig C., 2014. "International buyer behaviour–commitment relationship: An investigation of the empirical link in importing," International Business Review, Elsevier, vol. 23(2), pages 329-342.
    2. Sung, Bongsuk & Hwang, Kyungyun, 2013. "Firms' intentions to use genetically modified organisms industrially: The influence of sociopolitical-economic forces and managerial interpretations in the Korean context," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1387-1394.
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