IDEAS home Printed from https://ideas.repec.org/a/pab/rmcpee/v33y2022i1p242-263.html
   My bibliography  Save this article

Modelado de Ecuaciones Estructurales en el campo de las Ciencias de la Administración
[Structural Equations Modeling in the Management Sciences]

Author

Listed:
  • Soriano, José Luis

    (Consejo Nacional de Ciencia y Tecnología (México))

  • Mejía-Trejo, Juan

    (Universidad de Guadalajara (México))

Abstract

El presente artículo analiza el papel de los modelos de ecuaciones estructurales en el campo de las ciencias de la administración. Se presenta el enfoque por el que se incorpora el uso de la técnica al campo de la administración y, adicionalmente, se genera una comparativa entre los diferentes algoritmos y paquetes estadísticos disponibles para la aplicación de la técnica. Encontrando en código cerrado: LISREL, EQS, AMOS, SmartPLS, Mplus, CALIS (en SAS), SEPATH (en Statistica), RAMONA (en Systat), SEM (Stata), Matlab, Semopy (en Python). Y en código abierto: Scilab, Julia, R: lavaan, sem, lava, OpenMx y Strum. Identificando las tendencias actuales y enfoques futuros que enrolan la técnica de análisis multivariante dentro de las ciencias de la administración. Encontrando softwares sugeridos para el área de las ciencias de la administración, así como tendencias de mezcla en la técnica, como el uso de las redes neuronales que se comienza a incorporar como alternativa o complemento a la técnica SEM.

Suggested Citation

  • Soriano, José Luis & Mejía-Trejo, Juan, 2022. "Modelado de Ecuaciones Estructurales en el campo de las Ciencias de la Administración [Structural Equations Modeling in the Management Sciences]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 242-263, June.
    • Handle: RePEc:pab:rmcpee:v:33:y:2022:i:1:p:242-263
    DOI: https://doi.org/10.46661/revmetodoscuanteconempresa.5414
    as

    Download full text from publisher

    File URL: https://www.upo.es/revistas/index.php/RevMetCuant/article/view/5414/5882
    Download Restriction: no
    File URL: https://www.upo.es/revistas/index.php/RevMetCuant/article/view/5414
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.46661/revmetodoscuanteconempresa.5414?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    2. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    3. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    4. Klaus Holst & Esben Budtz-Jørgensen, 2013. "Linear latent variable models: the lava-package," Computational Statistics, Springer, vol. 28(4), pages 1385-1452, August.
    5. Haughton, Dominique & Kamis, Arnold & Scholten, Patrick, 2006. "A Review of Three Directed Acyclic Graphs Software Packages: MIM, Tetrad, and WinMine," The American Statistician, American Statistical Association, vol. 60, pages 272-286, August.
    6. Driver, Charles C. & Oud, Johan H. L. & Voelkle, Manuel C., 2017. "Continuous Time Structural Equation Modeling with R Package ctsem," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i05).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brice Ozenne & Esben Budtz-Jørgensen & Sebastian Elgaard Ebert, 2023. "Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model," Computational Statistics, Springer, vol. 38(1), pages 1-23, March.
    2. Sheng-Chih Chen & Le Duc Huy & Cheng-Yu Lin & Chih-Feng Lai & Nhi Thi Hong Nguyen & Nhi Y. Hoang & Thao T. P. Nguyen & Loan T. Dang & Nguyen L. T. Truong & Tan N. Phan & Tuyen Van Duong, 2022. "Association of Digital Health Literacy with Future Anxiety as Mediated by Information Satisfaction and Fear of COVID-19: A Pathway Analysis among Taiwanese Students," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    3. Oliver Weigelt & Petra Gierer & Christine J. Syrek, 2019. "My Mind is Working Overtime—Towards an Integrative Perspective of Psychological Detachment, Work-Related Rumination, and Work Reflection," IJERPH, MDPI, vol. 16(16), pages 1-27, August.
    4. Oliver Weigelt & Antje Schmitt & Christine J. Syrek & Sandra Ohly, 2021. "Exploring the Engaged Worker over Time—A Week-Level Study of How Positive and Negative Work Events Affect Work Engagement," IJERPH, MDPI, vol. 18(13), pages 1-27, June.
    5. Nicolas Pellerin & Michael Dambrun & Eric Raufaste, 2022. "Selflessness Meets Higher and More Stable Happiness: An Experience Sampling Study of the Joint Dynamics of Selflessness and Happiness," Journal of Happiness Studies, Springer, vol. 23(6), pages 3127-3142, August.
    6. Brice Ozenne & Patrick M. Fisher & Esben Budtz‐J⊘rgensen, 2020. "Small sample corrections for Wald tests in latent variable models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 841-861, August.
    7. Sonia Nawrocka & Hans De Witte & Margherita Pasini & Margherita Brondino, 2023. "A Person-Centered Approach to Job Insecurity: Is There a Reciprocal Relationship between the Quantitative and Qualitative Dimensions of Job Insecurity?," IJERPH, MDPI, vol. 20(7), pages 1-27, March.
    8. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    9. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    10. Masashi Soga & Kevin J. Gaston & Yuichi Yamaura & Kiyo Kurisu & Keisuke Hanaki, 2016. "Both Direct and Vicarious Experiences of Nature Affect Children’s Willingness to Conserve Biodiversity," IJERPH, MDPI, vol. 13(6), pages 1-12, May.
    11. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    12. Nathaniel Oliver Iotti & Damiano Menin & Tomas Jungert, 2022. "Early Adolescents’ Motivations to Defend Victims of Cyberbullying," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    13. Peter Tavel & Bibiana Jozefiakova & Peter Telicak & Jana Furstova & Michal Puza & Natalia Kascakova, 2022. "Psychometric Analysis of the Shortened Version of the Spiritual Well-Being Scale on the Slovak Population (SWBS-Sk)," IJERPH, MDPI, vol. 19(1), pages 1-12, January.
    14. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    15. Andreea-Ionela Puiu & Anca Monica Ardeleanu & Camelia Cojocaru & Anca Bratu, 2021. "Exploring the Effect of Status Quo, Innovativeness, and Involvement Tendencies on Luxury Fashion Innovations: The Mediation Role of Status Consumption," Mathematics, MDPI, vol. 9(9), pages 1-18, May.
    16. Acedo, Francisco J. & Coviello, Nicole & Agustí, María, 2021. "Caution ahead! The long-term effects of initial export intensity and geographic dispersion on INV development," Journal of World Business, Elsevier, vol. 56(6).
    17. Andres Trujillo-Barrera & Joost M. E. Pennings & Dianne Hofenk, 2016. "Understanding producers' motives for adopting sustainable practices: the role of expected rewards, risk perception and risk tolerance," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 359-382.
    18. Agnieszka Wojewódzka-Wiewiórska & Anna Kłoczko-Gajewska & Piotr Sulewski, 2019. "Between the Social and Economic Dimensions of Sustainability in Rural Areas—In Search of Farmers’ Quality of Life," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    19. Daria J. Kuss & Lydia Harkin & Eiman Kanjo & Joel Billieux, 2018. "Problematic Smartphone Use: Investigating Contemporary Experiences Using a Convergent Design," IJERPH, MDPI, vol. 15(1), pages 1-16, January.
    20. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.

    More about this item

    Keywords

    Ecuaciones Estructurales (SEM); administración; algoritmos; software; Structural Equations Models (SEM); management; algorithms;
    All these keywords.

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pab:rmcpee:v:33:y:2022:i:1:p:242-263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publicación Digital - UPO (email available below). General contact details of provider: https://edirc.repec.org/data/dmupoes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.