Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models
By Jan-Michael Becker, Kristina Klein, Martin Wetzels. 2012
2,187 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/0aad1c7605d584c0b11234175840cf39adc4e302
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- S. M. Rasoolimanesh
- Faizan Ali
- Samuel Fosso Wamba
- G. Tomas M. Hult
- Kisang Ryu
In Management Information Systems
- Angappa Gunasekaran
- Rameshwar Dubey
- Stephen J. Childe
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Samuel Fosso Wamba
- Shahriar Akter
In Strategy and Management
- Angappa Gunasekaran
- Rameshwar Dubey
- Christian M. Ringle
- Stephen J. Childe
- Marko Sarstedt
- Joseph F. Hair
- Samuel Fosso Wamba
- Vinit Parida
Citations in the corpus
- Understanding the Influence of Airport Servicescape on Traveler Dissatisfaction and Misbehavior (2020, methodology): “Higher-order constructs were validated through the weights of first-order constructs, the significance of weights, and multicollinearity (Becker, Klein, and Wetzels 2012; Hernandez-Perlines 2016).”
- Exploring the role of brand identification and brand love in generating higher levels of brand loyalty (2016, methodology): “To test H3, which posits that CHBI is positively associated with brand love, we followed the recent recommendations of Becker et al. (2012) on constructing and validating formative index.”
- How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity (2019, methodology): “The literature supports the use of PLS-SEM to analyze hierarchical latent variable models that include different measurement modes (Becker, Klein, & Wetzels, 2012).”
- Big data analytics and firm performance: Effects of dynamic capabilities (2017, methodology): “Based on the established guidelines on hierarchical modelling (Wetzels et al., 2009, Becker et al., 2012, Akter et al., 2010), the study applied PLS-SEM to estimate the third-order, reflective BDA capabilities model.”
- User Acceptance of Virtual Reality: An Extended Technology Acceptance Model (2020, methodology): “In line with previous research, we used a two-step approach when assessing our constructs (Becker et al., 2012; Duarte & Amaro, 2018).”
- Circular economy engagement: Altruism, status, and cultural orientation as drivers for sustainable consumption (2021, methodology): “a two-step phase for the present work was followed: (1) reliability and validity of the measurement model; and (2) assessment of the structural model (Becker et al., 2012).”
- Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results (2016, background): “Although PLS-SEM is perfectly capable of dealing with complex nomological networks containing a large number of constructs (Ringle, Sarstedt, & Straub, 2012), the resulting non-direct effects are hardly investigated in depth (see Becker et al. (2012) for a notable exception).”
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017, methodology): “…subsequent studies should extend the simulation design by considering more complex model structures, such as hierarchical component models (e.g., Becker et al. 2012), interaction terms (e.g., Henseler and Fassott 2010), mediating effects (Hair et al. 2017), and nonlinear effects (e.g., Rigdon…”