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Progress in partial least squares structural equation modeling use in marketing research in the last decade

Marko SarstedtFaculty of Economics and Business Administration Babeș‐Bolyai University Cluj‐Napoca RomaniaJoseph F. HairMitchell College of Business University of South Alabama Mobile Alabama USAMandy PickFaculty of Economics and Management Otto‐von‐Guericke‐University Magdeburg Magdeburg GermanyBenjamin D. LiengaardDepartment of Economics and Business Economics Aarhus University Aarhus DenmarkLăcrămioara RadomirFaculty of Economics and Business Administration Babeș‐Bolyai University Cluj‐Napoca RomaniaChristian M. RingleHamburg University of Technology (TUHH) Hamburg Germany
2022en
ABI

Аннотация

Abstract Partial least squares structural equation modeling (PLS‐SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field has undergone massive developments, raising the question of whether the method's users are following the most recent best practice guidelines. Extending prior research in the field, this paper presents the results of a new analysis of PLS‐SEM use in marketing research, focusing on articles published between 2011 and 2020 in the top 30 marketing journals. While researchers were more aware of the when's and how's of PLS‐SEM use during the period studied, we find that there continues to be some delay in the adoption of model evaluation's best practices. Based on our review results, we provide recommendations for future PLS‐SEM use, offer guidelines for the method's application, and identify areas of further research interest.

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