Partial Least Squares Structural Equation Modelling (PLS-SEM) in Management Accounting Research: Directions for Future Theory Development

By Christian Nitzl. 2016

550 citations recorded by the source corpus.

Subfields: Accounting, Management Information Systems, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/b8b05eb67c69e28f91a542e1d50290e60905092f

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In Accounting

In Management Information Systems

In Organizational Behavior and Human Resource Management

Citations in the corpus

An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “Following prior reviews in related fields (e.g., do Valle and Assaker, 2016; Kaufmann and Gaeckler, 2015; Nitzl, 2016) and guidelines for PLS-SEM use (e.g., Chin, 2010; Garson, 2016; Hair et al., 2017b), we analyzed the 29 studies included in our review in terms of the following issues, which are…”
Structural model robustness checks in PLS-SEM (2020, methodology): “Frequently used methods to detect and control for common method variance have, however, proven to offer limited value in the PLS-SEM context (Chin et al., 2012; Nitzl, 2016).”
Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice (2018, background): “Review studies on the use of PLSSEM in various business research disciplines such as accounting (Lee et al. 2011; Nitzl 2016), family business (Sarstedt et al. 2014), group and organization management (Sosik et al. 2009), hospitality management (Ali et al. 2018), human resource management (Ringle…”
ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT (2018, background): “Thereby, our findings provide the guidance that researcher need in their frequent application of PLS-SEM-based moderator analyses (Ali, Rasoolimanesh, Sarstedt, Ringle, & Ryu, 2017; Nitzl, 2016; Ringle, Sarstedt, Mitchell, & Gudergan, 2018).”
Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era (2020, methodology): “Accordingly, our research model should be investigated in a rather data-driven manner (Chenhall, 2012; Nitzl, 2016) in adequacy with prediction-oriented PLS-SEM approach (Hair et al.”
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018, background): “…is a paucity of research on this topic in partial least squares structural equation modeling (PLS-SEM;Wold 1982), the use of which has recently gained momentum in international marketing (Richter et al. 2016) and business research in general (e.g., Ali et al. 2018; Nitzl 2016; Ringle et al. 2018).”
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2020, methodology): “But most studies using PLS-SEM are based on much smaller data sets (Hair, Sarstedt, Ringle, & Mena, 2012; Nitzl, 2016).”
Home and away: cross-contextual consistency in tourists’ pro-environmental behavior (2020, background): “PLS allows researcher to estimate complex models without imposing distributional assumptions on the data (Chin, 1998) and is specifically used in testing path model hypotheses in an exploratory manner (Nitzl et al., 2016; Hair et al., 2019).”
Partial least squares structural equation modeling in HRM research (2020, methodology): “best practice in other fields using this method (e.g. Ali, Rasoolimanesh, Sarstedt, Ringle, & Ryu, in press; Kaufmann & Gaeckler, 2015; Nitzl, 2016; Peng & Lai, 2012).”