Semantic Scholar Open Access 2016 5696 sitasi

Using PLS path modeling in new technology research: updated guidelines

J. Henseler Geoffrey S. Hubona P. A. Ray

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Abstrak

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

Topik & Kata Kunci

Computer Science Engineering

Penulis (3)

J. Henseler

Geoffrey S. Hubona

P. A. Ray

Format Sitasi

APA MLA BibTeX

Henseler, J., Hubona, G.S., Ray, P.A. (2016). Using PLS path modeling in new technology research: updated guidelines. https://doi.org/10.1108/IMDS-09-2015-0382

Akses Cepat

Lihat di Sumber doi.org/10.1108/IMDS-09-2015-0382

Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Total Sitasi: 5696×
Sumber Database: Semantic Scholar
DOI: 10.1108/IMDS-09-2015-0382
Akses: Open Access ✓