Gabriel Cepeda, José L. Roldán, Misty Sabol, Joe Hair and Alain Yee Loong Chong
Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide…
Abstract
Purpose
Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide building blocks for future inquiry, practice and innovation. This article summarizes the findings of an analysis of the adoption and reporting of partial least squares structural equation modeling (PLS-SEM) analytical tools by Industrial Management & Data Systems authors in the most recent five-year period.
Design/methodology/approach
Selected emerging advanced PLS-SEM analytical tools that have experienced limited adoption are highlighted to broaden awareness of their value to IS researchers.
Findings
PLS-SEM analytical tools that facilitate understanding increasingly complex theoretical models and deliver improved prediction assessment are now available. IS researchers should explore the opportunities to apply these new tools to more fully describe the contributions of their research.
Research limitations/implications
Findings demonstrate the increasing acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is a preferred structural equation modeling (SEM) method in many research settings and will become even more widely applied when IS researchers are aware of and apply the new analytical tools.
Practical implications
Emerging PLS-SEM methodological developments will help IS researchers examine new theoretical concepts and relationships and publish their work. Researchers are encouraged to engage in more complete analyses by applying the applicable emerging tools.
Originality/value
Applications of PLS-SEM for prediction, theory testing and confirmation have increased in recent years. Information system scholars should continue to exercise sound practice by applying these new analytical tools where applicable. Recommended guidelines following Hair et al. (2019; 2022) are included.
Details
Keywords
Bradley G. Winton and Misty A. Sabol
There is no innovation without ideas. More than ever before, these ideas are increasingly difficult to express in a changing environment ripe with emotions. Today's organizations…
Abstract
Purpose
There is no innovation without ideas. More than ever before, these ideas are increasingly difficult to express in a changing environment ripe with emotions. Today's organizations need to understand why their employees may or may not develop, voice and implement innovative ideas in the face of this emotional tension. Current literature focuses on external factors that empower employees to innovate. This research attempts to shift the focus to the individual by investigating the relationship between emotional intelligence, openness to experience and innovation voicing behavior.
Design/methodology/approach
This study employs a quantitative survey among 288 US-based workers to test a mediated model of emotional intelligence, openness to experience and innovation-focused promotive voice. The authors assessed both the measurement and structural models through partial least squares structural equation modeling (PLS-SEM), while controlling for a range of variables with the potential to confound construct measurements.
Findings
The findings validated the positive effect of emotional intelligence on openness to experience, while also finding a significant impact of openness to experience on innovation-focused promotive voice. More importantly, evidence suggests that openness to experience mediates the relationship between emotional intelligence and innovation focused promotive voice.
Originality/value
These findings shed new light on why employees might start the innovation process by developing and, ultimately, voicing innovative ideas. Further, this new insight focuses on the impact of intrapersonal factors as it relates to innovation and attempts to fill a gap in what is known about innovative behavior.
Details
Keywords
Misty Sabol, Joe Hair, Gabriel Cepeda, José L. Roldán and Alain Yee Loong Chong
Expanded awareness and application of recent PLS-SEM reporting practices were again called for by Hair (2022) in his PLS 2022 Keynote Address. This paper aims to analyze and…
Abstract
Purpose
Expanded awareness and application of recent PLS-SEM reporting practices were again called for by Hair (2022) in his PLS 2022 Keynote Address. This paper aims to analyze and extend the application of PLS-SEM in Industrial Management and Data Systems (IMDS) to focus on trends emerging in the more recent 2016–2022 period.
Design/methodology/approach
A review of PLS-SEM applications in information systems studies published in IMDS and MISQ for the period 2012–2022 identifies and comments on a total of 135 articles. Selected emerging advanced analytical PLS-SEM applications are also highlighted to expand awareness of their value in more rigorously evaluating model results.
Findings
There is a continually increasing maturity of the information systems field in applying PLS-SEM, particularly for IMDS authors. Model complexity and improved prediction assessment as well as other advanced analytical options are increasingly identified as reasons for applying PLS-SEM.
Research limitations/implications
Findings demonstrate the continued use and acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is the preferred SEM method in many research settings, but particularly when the research objective is prediction to the population, mediation and mediated moderation, formative constructs are specified, constructs must be modeled as higher-order and for competing model comparisons.
Practical implications
This update on PLS-SEM applications and recent methodological developments will help authors to better understand and apply the method, as well as publish their work. Researchers are encouraged to engage in more complete analyses and include enhanced reporting procedures.
Originality/value
Applications of PLS-SEM for prediction, theory testing and confirmation are increasing. Information systems scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for both exploratory and confirmatory research.