Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research

By David Xiaosong Peng, Fujun Lai. 2012

1,583 citations recorded by the source corpus.

The partial least squares (PLS) approach to structural equation modeling (SEM) has been widely adopted in business research fields such as information systems, consumer behavior, and marketing. The use of PLS in the field of operations management is also growing. However, questions still exist among some operations management researchers regarding whether and how PLS should be used. To address these questions, our study provides a practical guideline for using PLS and uses examples from the operations management literature to demonstrate how the specific points in this guideline can be applied. In addition, our study reviews and summarizes the use of PLS in the recent operations management literature according to our guideline. The main contribution of this study is to present a practical guideline for evaluating and using PLS that is tailored to the operations management field.

Subfields: Artificial Intelligence, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/053f8589dab70fab34471f429af32fdb7555155e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Information Systems and Management

In Organizational Behavior and Human Resource Management

Citations in the corpus

How University Entrepreneurship Support Affects College Students’ Entrepreneurial Intentions: An Empirical Analysis from China (2021, methodology): “For the formative construct (UES), we followed the practical guidelines in existing literature [98,109] to examine the indicator’s contribution to its formative construct, multicollinearity between items, discriminant validity, and nomological validity.”
ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018, background): “…et al., 2011), family business (Sarstedt et al., 2014b), management information systems (Ringle et al., 2012), marketing (Hair et al., 2012a), operations management (Peng & Lai 2012), strategic management (Hair et al., 2012b), psychology (Willaby et al., 2015) and tourism (do Valle & Assaker 2016).”
Institutional Pressures, Green Supply Chain Management Practices on Environmental and Economic Performance: A Two Theory View (2018, methodology): “It is essential to substantiate the hypotheses test results by providing more evidence of model acceptance; therefore, to find a meaningful impact on the endogenous constructs by any exogenous constructs, its effect size f 2 should be calculated [95,97,98].”
Common Beliefs and Reality About PLS (2014, background): “…widely used not only in management research but also in virtually all social sciences disciplines (Hair, Sarstedt, Pieper, & Ringle, 2012; Hair, Sarstedt, Ringle, & Mena, 2012; Lee, Petter, Fayard, & Robinson, 2011; Peng & Lai, 2012; Ringle, Sarstedt, & Straub, 2012; Sosik, Kahai, & Piovoso, 2009).”
On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017, methodology): “Peng and Lai (2012) Comparison of CB-SEM and PLS-SEM, while providing a review of PLS-SEM use in operations management research.”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, background): “2011; Rigdon 2014; Tenenhaus and Tenenhaus 2011), as well as its frequent application across different disciplines, demonstrate (e.g., Hair et al. 2012a, b; Lee et al. 2011; Peng and Lai 2012; Ringle et al. 2012).”