The opening chapter focuses on the breadth of Professor Joseph F. Hair, Jr.’s academic contributi... more The opening chapter focuses on the breadth of Professor Joseph F. Hair, Jr.’s academic contributions. After a brief introduction, the chapter presents a study that synthesizes Joe’s published research using analytic content analysis software. Nearly 100 published articles provide input to the software. The results, perhaps not surprisingly, demonstrate that his published body of work emphasizes a marketing research theme with particular emphasis on multivariate modeling.
This chapter describes three key lessons learned from Joseph F. Hair Jr. beginning as a student i... more This chapter describes three key lessons learned from Joseph F. Hair Jr. beginning as a student in the inaugural DBA cohort at Kennesaw State University’s DBA program and through the journey of developing into a scholar under Joe’s tutelage. These lessons are universal to those who wish to grow their abilities as an educator and researcher. Begin by simplifying the meaning of the subject you wish to communicate. Next, look for innovative new methods to grow as an educator and researcher. Finally, create an environment that fosters engagement and encourages others to collaborate and grow. Each of these lessons is as straightforward as they are difficult to master; however, Joe’s accomplishments and perhaps, more importantly, his relationships demonstrate how much can be accomplished when they are mastered.
This second Long Range Planning special issue on PLS-SEM in strategic management research and pra... more This second Long Range Planning special issue on PLS-SEM in strategic management research and practice seeks to further progress towards this goal. The journal received 41 articles for its special issue on PLS-SEM, twelve of which completed a thorough review process successfully. Based on the number of high quality manuscripts, a decision was made to split the special issue. In the first Long Range Planning special issue on PLS-SEM in strategic management (Hair et al., 2012a; Robins, 2012), the focus was on methodological developments and their application (Becker et al., 2012; Furrer et al., 2012; Gudergan et al., 2012; Hair et al., 2012a,b,c; Money et al., 2012; Rigdon, 2012). This second special issue provides a forum for topical issues that demonstrate the usefulness of PLS-SEM by piloting applications of this method in the field of strategic management with strong implications for strategic research and practice. As such, the special issue targets two audiences: academics involved in the fields of strategy and management, and practitioners such as consultants. The six articles in this issue are summarized in the following paragraphs.
Purpose: We present partial least squares (PLS) as an evolving approach to structural equation mo... more Purpose: We present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields.
Design/methodology/approach: In this review article we merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, we meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage.
Findings: PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with non-normal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM’s methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity.
Research limitations/implications: While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention.
Originality/value: This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. Our cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
The opening chapter focuses on the breadth of Professor Joseph F. Hair, Jr.’s academic contributi... more The opening chapter focuses on the breadth of Professor Joseph F. Hair, Jr.’s academic contributions. After a brief introduction, the chapter presents a study that synthesizes Joe’s published research using analytic content analysis software. Nearly 100 published articles provide input to the software. The results, perhaps not surprisingly, demonstrate that his published body of work emphasizes a marketing research theme with particular emphasis on multivariate modeling.
This chapter describes three key lessons learned from Joseph F. Hair Jr. beginning as a student i... more This chapter describes three key lessons learned from Joseph F. Hair Jr. beginning as a student in the inaugural DBA cohort at Kennesaw State University’s DBA program and through the journey of developing into a scholar under Joe’s tutelage. These lessons are universal to those who wish to grow their abilities as an educator and researcher. Begin by simplifying the meaning of the subject you wish to communicate. Next, look for innovative new methods to grow as an educator and researcher. Finally, create an environment that fosters engagement and encourages others to collaborate and grow. Each of these lessons is as straightforward as they are difficult to master; however, Joe’s accomplishments and perhaps, more importantly, his relationships demonstrate how much can be accomplished when they are mastered.
This second Long Range Planning special issue on PLS-SEM in strategic management research and pra... more This second Long Range Planning special issue on PLS-SEM in strategic management research and practice seeks to further progress towards this goal. The journal received 41 articles for its special issue on PLS-SEM, twelve of which completed a thorough review process successfully. Based on the number of high quality manuscripts, a decision was made to split the special issue. In the first Long Range Planning special issue on PLS-SEM in strategic management (Hair et al., 2012a; Robins, 2012), the focus was on methodological developments and their application (Becker et al., 2012; Furrer et al., 2012; Gudergan et al., 2012; Hair et al., 2012a,b,c; Money et al., 2012; Rigdon, 2012). This second special issue provides a forum for topical issues that demonstrate the usefulness of PLS-SEM by piloting applications of this method in the field of strategic management with strong implications for strategic research and practice. As such, the special issue targets two audiences: academics involved in the fields of strategy and management, and practitioners such as consultants. The six articles in this issue are summarized in the following paragraphs.
Purpose: We present partial least squares (PLS) as an evolving approach to structural equation mo... more Purpose: We present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields.
Design/methodology/approach: In this review article we merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, we meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage.
Findings: PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with non-normal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM’s methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity.
Research limitations/implications: While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention.
Originality/value: This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. Our cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
Uploads
Papers by Russell Reams
Design/methodology/approach: In this review article we merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, we meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage.
Findings: PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with non-normal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM’s methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity.
Research limitations/implications: While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention.
Originality/value: This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. Our cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
Design/methodology/approach: In this review article we merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, we meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage.
Findings: PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with non-normal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM’s methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity.
Research limitations/implications: While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention.
Originality/value: This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. Our cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.