Artificial Neural Network and Structural Equation Modeling in the Future

Marcos Ferasso () and Alhamzah Alnoor ()
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Marcos Ferasso: Universidade Autónoma de Lisboa, Economics and Business Sciences Department
Alhamzah Alnoor: Southern Technical University, Management Technical College

A chapter in Artificial Neural Networks and Structural Equation Modeling, 2022, pp 327-341 from Springer

Abstract: 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.

Keywords: Artificial neural network; Structural equation modeling; Social commerce; Nonlinear relations (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-6509-8_18

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DOI: 10.1007/978-981-19-6509-8_18

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