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Artificial Neural Network and Structural Equation Modeling in the Future

In: Artificial Neural Networks and Structural Equation Modeling

Author

Listed:
  • Marcos Ferasso

    (Universidade Autónoma de Lisboa, Economics and Business Sciences Department)

  • Alhamzah Alnoor

    (Southern Technical University, Management Technical College
    Universiti Sains Malaysia, School of Management)

Abstract

Much of the literature has focused on marketing such as social commerce and customer intentions. We performed a literature survey and identified 73 articles that dealt with the application of the Structural Equation Modeling (SEM) with Artificial Neural Network (ANN) method. However, there is a gap in the literature that needs to be addressed. In this context, this research contributes to potential future work by extending the application of the mentioned techniques to more vital applied topics, such as entrepreneurship, family business, organization studies, and the health sector. This chapter describes the potential future work of SEM and ANN by highlighting issues that need to be further explored based on linear and nonlinear relations.

Suggested Citation

  • Marcos Ferasso & Alhamzah Alnoor, 2022. "Artificial Neural Network and Structural Equation Modeling in the Future," Springer Books, in: Alhamzah Alnoor & Khaw Khai Wah & Azizul Hassan (ed.), Artificial Neural Networks and Structural Equation Modeling, pages 327-341, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6509-8_18
    DOI: 10.1007/978-981-19-6509-8_18
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    Citations

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    Cited by:

    1. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Panos Xidonas & Arsenios-Georgios N. Prelorentzos & Aristeidis Samitas, 2025. "Responsible artificial intelligence for measuring efficiency: a neural production specification," Annals of Operations Research, Springer, vol. 354(1), pages 399-425, November.
    2. Latif, Moazam & Iftikhar, Yasir & Ferasso, Marcos & Danish, Rizwan Qaiser, 2025. "Exploring the nexus of collaborative culture, absorptive capacity, and ICT as catalysts for frugal innovations," Technology in Society, Elsevier, vol. 82(C).
    3. Dipanshu Nijanandi & Brajesh Kumar Tiwari, 2026. "Neural and structural pathways to financial well-being: dual-staged SEM–ANN analysis of financial risk tolerance and internal locus as mediators," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 31(1), pages 1-24, March.

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