Wynne W Chin
Biographic Data
| ID | 8867676 |
|---|---|
| NAME | Wynne W Chin |
| GIVEN NAMES | Wynne W |
| FAMILY NAME | Chin |
| SIGNATURE | CHIN W W |
| AFFILIATIONS | University of Houston |
| ORCID | 0000-0003-3641-7089 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Addressing stigma in sexual health
Stigma remains a pervasive barrier to public health initiatives, which is often exacerbated by advertisements that, while raising awareness of risks and consequences, can also inadvertently stigmatize individuals based on their sexual health status. Transformative advertising offers a strategy to overcome this barrier; however, research is needed to uncover the pathways and mechanisms through which this can occur. Leveraging the Elaboration Likel…
Individual Information Technology (IT) creativity
Purpose An organization’s competitive advantage can be strengthened if they are able to identify highly creative individuals. In fact, organizational success in the 21st century may depend upon a firm’s ability to identify highly creative individuals who are able to develop novel and useful ideas, which are the outcome of creativity. The authors posit that Information Technology (IT) plays a significant role in creativity. Design/methodology/appr…
Value or image? The effects of restaurant–supplier co-creation on consumers' behavioral intentions
Purpose Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and ima…
Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To…
Assessing Common Method Bias
Recent work, in journals such as MIS Quarterly and Management Science, has highlighted the importance of evaluating the influence of common method bias (CMB) on the results of statistical analysis. In this research note, we assess the utility of the unmeasured latent method construct (ULMC) approach in partial least squares (PLS), introduced by Liang et al. (2007). Such an assessment of the ULMC approach is important, because it has been employed…
Handbook of Partial Least Squares
How to Write Up and Report PLS Analyses
A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling
In social and business sciences, the importance of the analysis of interaction effects between manifest as well as latent variables steadily increases. Researchers using partial least squares (PLS) to analyze interaction effects between latent variables need an overview of the available approaches as well as their suitability. This article presents 4 PLS-based approaches: a product indicator approach (Chin, Marcolin, & Newsted, 2003 Chin, W. W., …
An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis
Structural Equation Modeling in Marketing
The authors review issues related to the application of structural equation modeling (SEM) in marketing. The discussion begins by considering issues related to the process of applying SEM in empirical research, including model specification, identification, estimation, evaluation, and respecification, and reporting of results. In addition to these process issues, a number of other issues, such as formulation of multiple theoretical models, model …
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects
The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989)…
Generating Non-normal Data for Simulation of Structural Equation Models Using Mattson's Method
SEM researchers use Monte-Carlo simulations to ascertain the robustness of statistical estimators and the performance of various fit indices under varying conditions of non-normality. The efficacy of these Monte-Carlo simulations is closely related to the generation of non-normal data. Traditionally, SEM researchers have used approaches proposed by Fleishman (1978) and Vale and Maurelli (1983) to generate multivariate non-normal random numbers. H…
Advancing the Theory of Adaptive Structuration
Adaptive Structuration Theory (AST) is rapidly becoming an influential theoretical perspective in research on advanced information technologies. However, there still exists a paucity of methods to capture critical AST constructs. This paper describes the development of an instrument to capture the extent to which users of an advanced information technology believe they have appropriated its structures faithfully. The development of such instrumen…
On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research
Structural equation modeling (SEM) using LISREL, EOS, PLS, or other second genration data analysis techniques is increasingly being applied in MIS research. These techniques are important because they provide powerful ways to address key IS research problems such as understanding IT usage. However, they may lead to inappropriate conclusions if statistical criteria are permitted to drive analysis and override substantive understanding of a problem…
No prominent works on this page.
On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research
Structural equation modeling (SEM) using LISREL, EOS, PLS, or other second genration data analysis techniques is increasingly being applied in MIS research. These techniques are important because they provide powerful ways to address key IS research problems such as understanding IT usage. However, they may lead to inappropriate conclusions if statistical criteria are permitted to drive analysis and override substantive understanding of a problem…
Advancing the Theory of Adaptive Structuration
Adaptive Structuration Theory (AST) is rapidly becoming an influential theoretical perspective in research on advanced information technologies. However, there still exists a paucity of methods to capture critical AST constructs. This paper describes the development of an instrument to capture the extent to which users of an advanced information technology believe they have appropriated its structures faithfully. The development of such instrumen…
Generating Non-normal Data for Simulation of Structural Equation Models Using Mattson's Method
SEM researchers use Monte-Carlo simulations to ascertain the robustness of statistical estimators and the performance of various fit indices under varying conditions of non-normality. The efficacy of these Monte-Carlo simulations is closely related to the generation of non-normal data. Traditionally, SEM researchers have used approaches proposed by Fleishman (1978) and Vale and Maurelli (1983) to generate multivariate non-normal random numbers. H…
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects
The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989)…
Structural Equation Modeling in Marketing
The authors review issues related to the application of structural equation modeling (SEM) in marketing. The discussion begins by considering issues related to the process of applying SEM in empirical research, including model specification, identification, estimation, evaluation, and respecification, and reporting of results. In addition to these process issues, a number of other issues, such as formulation of multiple theoretical models, model …
Handbook of Partial Least Squares
How to Write Up and Report PLS Analyses
A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling
In social and business sciences, the importance of the analysis of interaction effects between manifest as well as latent variables steadily increases. Researchers using partial least squares (PLS) to analyze interaction effects between latent variables need an overview of the available approaches as well as their suitability. This article presents 4 PLS-based approaches: a product indicator approach (Chin, Marcolin, & Newsted, 2003 Chin, W. W., …
An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis
Assessing Common Method Bias
Recent work, in journals such as MIS Quarterly and Management Science, has highlighted the importance of evaluating the influence of common method bias (CMB) on the results of statistical analysis. In this research note, we assess the utility of the unmeasured latent method construct (ULMC) approach in partial least squares (PLS), introduced by Liang et al. (2007). Such an assessment of the ULMC approach is important, because it has been employed…
Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To…
Value or image? The effects of restaurant–supplier co-creation on consumers' behavioral intentions
Purpose Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and ima…
Individual Information Technology (IT) creativity
Purpose An organization’s competitive advantage can be strengthened if they are able to identify highly creative individuals. In fact, organizational success in the 21st century may depend upon a firm’s ability to identify highly creative individuals who are able to develop novel and useful ideas, which are the outcome of creativity. The authors posit that Information Technology (IT) plays a significant role in creativity. Design/methodology/appr…
Addressing stigma in sexual health
Stigma remains a pervasive barrier to public health initiatives, which is often exacerbated by advertisements that, while raising awareness of risks and consequences, can also inadvertently stigmatize individuals based on their sexual health status. Transformative advertising offers a strategy to overcome this barrier; however, research is needed to uncover the pathways and mechanisms through which this can occur. Leveraging the Elaboration Likel…
Computer Science (13 works) · Structural equation modeling (9 works) · Machine learning (7 works) · Mathematics (7 works) · Customer Service Quality and Loyalty (6 works) · Econometrics (6 works) · Statistics (6 works) · Technology Adoption and User Behaviour (6 works) · Artificial Intelligence (5 works) · Engineering (5 works)