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Counterpoint: Representing Forged Concepts as Emergent Variables Using Composite-Based Structural Equation Modeling

Authors:

Florian Schuberth,

Jörg HenselerAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 52, Issue SI

Pages 114 - 130

https://doi.org/10.1145/3505639.3505647

Published: 28 December 2021 Publication History

Abstract

Studying and modeling theoretical concepts is a cornerstone activity in information systems (IS) research. Researchers have been familiar with one type of theoretical concept, namely behavioral concepts, which are assumed to exist in nature and measured by a set of observable variables. In this paper, we present a second type of theoretical concept, namely forged concepts, which are designed and assumed to emerge within their environment. While behavioral concepts are classically operationalized as latent variables, forged concepts are better specified as emergent variables. Additionally, we propose composite-based structural equation modeling (SEM) as a subtype of SEM that is eminently suitable to analyze models containing emergent variables. We shed light on the composite-based SEM steps: model specification, model identification, model estimation, and model assessment. Then, we present an illustrative example from the domain of IS research to demonstrate these four steps and show how modeling with emergent variables proceeds.

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Index Terms

Counterpoint: Representing Forged Concepts as Emergent Variables Using Composite-Based Structural Equation Modeling
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
2. Information systems
  1. Data management systems
    1. Database design and models

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Published In

cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 52, Issue SI

December 2021

126 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/3505639

Editors:
Deborah J. Armstrong
Florida State University, Tallahassee, FL
,
Tom Stafford
Louisiana Tech University, Ruston, LA
,
Mohamed Tazkarji
Louisiana Tech University, Ruston, LA
,
Heidi Seward
Baylor University, Waco, TX

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Published: 28 December 2021

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Benitez-Avila CSchuberth FCopeland S(2023)Mastery and social position: factors in negotiating urban social resilienceHumanities and Social Sciences Communications10.1057/s41599-023-02217-510:1Online publication date: 12-Oct-2023
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Schuberth FHubona GRoemer EZaza SSchamberger TChuah FCepeda-Carrión GHenseler J(2023)The choice of structural equation modeling technique matters: A commentary on Dash and Paul (2021)Technological Forecasting and Social Change10.1016/j.techfore.2023.122665194(122665)Online publication date: Sep-2023
https://doi.org/10.1016/j.techfore.2023.122665
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