Joseph F Hair

Datos Biográficos

ID1654069
NOMBREJoseph F Hair
NOMBRESJoseph F
APELLIDOHair
FIRMAHAIR J F
AFILIACIONESUniversity of South Alabama
ORCID0000-0002-9226-9693
VERIFICADOSí
TOTAL DE OBRAS32
TOTAL DE CITAS19
TOTAL COMO AUTOR32
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2008
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H2

  • Consistent Partial Least Squares Structural Equation Modeling Using SmartPLS

    Open AccessJun‐hwa Cheah, Jun-Hwa Cheah et al.ARTICLEStructural Equation Modeling: A…2026

    This Teacher’s Corner article provides a comprehensive illustration of consistent partial least squares structural equation modeling (PLSc-SEM), a variant of the original PLS-SEM method, which corrects construct correlations for attenuation. The method thereby allows estimating common factor models within a composite-based SEM framework. Our descriptions draw on SmartPLS 4, the most frequently used software for conducting PLS-SEM analyses, illust…

  • “Pls-Sem

    Marko Sarstedt, Joseph F Hair et al.ARTICLEJournal of Marketing Theory and…2023

    In 2011, the Journal of Marketing Theory & Practice published “PLS-SEM: Indeed a silver bullet,” which became a cornerstone contribution in marketing. Critical reflection of research work is a fundamental building block of science, including one’s own writing. In this spirit, we offer a review of our own 2011 paper, assuming we were reviewers with today’s background knowledge of the method. Taking a reviewer’s perspective in our comments, we clar…

  • Psychological Distress, Burnout, and Business Student Turnover

    Open AccessDavid J Emerson, Joseph F Hair et al.ARTICLEResearch in Higher Education2023

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research

    Open AccessJoseph F Hair, Joseph Hair et al.ARTICLEResearch Methods in Applied…2022

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

    Open AccessMarko Sarstedt, Joseph F Hair et al.ARTICLEPsychology and Marketing2022

    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, foc…

  • Manual avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM)

    Joseph F Hair, Joseph F Hair Jr et al.BOOKManual avanzado de Partial Least…2021

    Este libro es una traducción autorizada por Sage del libro Advanced Issues in Partial Least Squares Structural Equation Modeling. Concebido como una ampliación del Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición)*, esta guía práctica de fácil manejo abarca contenido avanzado de PLS-SEM para ayudar a los estudiantes e investigadores a aplicar técnicas sobre problemas de investigación y a interpretar oportuna…

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

    Open AccessJoseph F Hair, G Tomas M Hult et al.BOOKPartial Least Squares Structural…2021

  • Prediction

    Open AccessBenjamin D Liengaard, Pratyush Nidhi Sharma et al.ARTICLEDecision Sciences2021

    Management researchers often develop theories and policies that are forward‐looking. The prospective outlook of predictive modeling, where a model predicts unseen or new data, can complement the retrospective nature of causal‐explanatory modeling that dominates the field. Partial least squares (PLS) path modeling is an excellent tool for building theories that offer both explanation and prediction. A limitation of PLS, however, is the lack of a s…

  • Evaluation of Reflective Measurement Models

    Open AccessJoseph F Hair, G Tomas M Hult et al.CHAPTERPartial Least Squares Structural…2021

    The goal of reflective measurement model assessment is to ensure the reliability and validity of the construct measures and therefore provides support for the suitability of their inclusion in the path model. This chapter introduces the key criteria that are relevant in reflective measurement model assessment: indicator reliability, internal consistency reliability (Cronbach’s alpha, reliability coefficient rho A , and composite reliability rho C…

  • Executing and interpreting applications of PLS-SEM

    Open AccessJoseph F Hair, Claudia Binz Astrachan et al.ARTICLEJournal of Family Business Strategy2021

  • An Introduction to Structural Equation Modeling

    Open AccessJoseph F Hair, G Tomas M Hult et al.CHAPTERPartial Least Squares Structural…2021

    Structural equation modeling is a multivariate data analysis method for analyzing complex relationships among constructs and indicators. To estimate structural equation models, researchers generally draw on two methods: covariance-based SEM (CB-SEM) and partial least squares SEM (PLS-SEM). Whereas CB-SEM is primarily used to confirm theories, PLS represents a causal–predictive approach to SEM that emphasizes prediction in estimating models, whose…

  • Beyond a tandem analysis of SEM and PROCESS

    Open AccessMarko Sarstedt, Joseph F Hair et al.ARTICLEMarket Research Society Journal2020

    Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when…

  • How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM

    Open AccessMarko Sarstedt, Joseph F Hair et al.ARTICLEAustralasian Marketing Journal2019

    Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, researchers frequently confuse the specification, estimation, and validation of higher-order constructs, for example, when it comes to assessing their reliabi…

  • Factors versus Composites

    Open AccessJoseph F Hair, Marko SarstedtARTICLEProject Management Journal2019

    Structural equation modeling (SEM) is a widely applied and useful tool for project management scholars. In this Thoughtlet article, we critically reflect on the measurement philosophy underlying the two streams of SEM and their adequacy for estimating relationships among concepts commonly encountered in the field (e.g., team performance). We also discuss considerations to ponder when making the choice between the two types of SEM as well as betwe…

  • Partial least squares structural equation modeling-based discrete choice modeling

    Open AccessJoseph F Hair, Christian M Ringle et al.ARTICLEBusiness Research2019

    Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute levels, is challenging. This article substantiates the usefulness of partial least squares structural equation modeling (PLS-SEM) for the analysis of stated …

  • Development and validation of attitudes measurement scales

    Open AccessJoseph F Hair, Marcelo L D S Gabriel et al.ARTICLERAUSP Management Journal2019

    Purpose This paper aims to present the fundamental aspects for the development and validation (D&V) of attitudes’ measurement scale, as well as its practical aspects that are not deeply explored in books and manuals. These aspects are the results of a long experience of the authors and arduous learning with errors and mistakes. Design/methodology/approach The nature of this paper is methodological and can be very useful for an initial reading on …

  • When to use and how to report the results of PLS-SEM

    Open AccessJoseph F Hair, Jeffrey J Risher et al.ARTICLEEuropean Business Review2019

    Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons for choosing PLS-SEM, recommended sample size in selected contexts, distributional assumptions, use of secondary data, statistical power and the need for goo…

  • Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición)

    Joseph F Hair, Joseph F Hair Jr et al.BOOKManual de Partial Least Squares…2019

    Este libro es una traducción autorizada por Sage del libro A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd edition . Una guía práctica y accesible para el uso de PLS-SEM para los investigadores en ciencias sociales. Con ejemplos de utilización del programa SmartPLS, el software básico que se usa en la modelización de ecuaciones estructurales partial least squares (PLS-SEM), esta guía práctica proporciona instrucciones…

  • Internet research using partial least squares structural equation modeling (PLS-SEM)

    Open AccessWen‐lung Shiau, Marko Sarstedt et al.ARTICLEInternet Research2019Citada por: 7Referencias: 10

  • Methodological research on partial least squares structural equation modeling (PLS-SEM)

    Open AccessGohar F Khan, Marko Sarstedt et al.ARTICLEInternet Research2019Citada por: 12Referencias: 18

    Purpose The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field. Design/methodology/approach Based on bibliometric data downloaded from the Web of Science, the authors …

  • Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling

    Open AccessG Tomas M Hult, Joseph F Hair et al.ARTICLEJournal of International Marketing2018

    Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. …

  • Partial Least Squares Strukturgleichungsmodellierung

    Joseph F Hair, Sven Hauff et al.BOOKPartial Least Squares Strukturgleic…2017

    Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.

  • Mirror, mirror on the wall

    Open AccessJoseph F Hair, G Tomas M Hult et al.ARTICLEJournal of the Academy of…2017

  • Covariance-Based Structural Equation Modeling in the Journal of Advertising

    Joseph F Hair, Barry J Babin et al.ARTICLEJournal of Advertising2017

    In this article, we review applications of covariance-based structural equation modeling (SEM) in the Journal of Advertising (JA) starting with the first issue in 1972. We identify 111 articles from the earliest application of SEM in 1983 through 2015, and discuss important methodological issues related to the following aspects: confirmatory factor analysis (CFA), causal modeling, multiple group analysis, reporting, and guidelines for interpretat…

  • Partial Least Squares Structural Equation Modeling

    Open AccessMarko Sarstedt, Christian M Ringle et al.CHAPTERHandbook of Market Research2017