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Item type:Publication, Access status: with files , Moderated mediation analysis using SmartPLS: a tutorial for business researchers(Sarawak Research Society, 2026-01-01); ; ; ; In regression models and structural equation modeling applications in business and management studies, conditional process analyses such as moderated mediation have become widely used methods in business research. They allow scholars to examine not only the mechanisms through which effects occur but also the conditions under which these mechanisms vary. Despite their increasing popularity, many researchers continue to struggle with the appropriate specification, estimation, and reporting of moderated mediation models. This editorial provides a step-by-step tutorial on conducting moderated mediation analysis using SmartPLS. We explain the conceptual logic underlying each model type and demonstrate how to specify and estimate them. We also clarify how conditional indirect effects should be examined and interpreted. In addition, we propose practical reporting guidelines covering model specification, measurement model evaluation, structural model assessment, and the interpretation of conditional indirect effects. This tutorial serves as a practical resource for business researchers seeking to conduct and report moderated mediation and conditional process analyses within linear regression and structural equation modeling frameworks.Publicationtype: Journal Article187 250 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Human capital, management and economics during and after the COVID-19 outbreak(2023-07-21); ; ; Publicationtype: Editorial16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Appreciation to and behavior intention regarding upscale ethnic restaurantsAppreciation is an ingredient that is essential for enhancing customers’ postconsumption service evaluations; nevertheless, few studies have explored its role in the context of ethnic restaurants. This article aims to examine appreciation’s effects on customers’ behavioral intention by first considering the cultural effects. This study develops and empirically tests a research model based on 488 questionnaires collected at an upscale ethnic restaurant in Macau. The result shows that utilitarian value, hedonic value, and cultural motivation affect appreciation positively, which in turn affects behavioral intention positively. Utilitarian value and hedonic value also affect behavioral intention directly and positively. The mediation roles of diners’ utilitarian value, hedonic value, and appreciation are also discussed. This article contributes to hospitality management theory by providing an additional insight into appreciation and suggests that, in practice, using appreciation as a business strategy could change customers’ choice.Publicationtype: Journal Article112 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Green human resource management and the implications of culture on its practices in Asia : guest editorial(Emerald, 2022-07-19); ; ; ; Publicationtype: Journal Article81 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Are they all the same? : A rethink of young consumers through the lens of generation theoriesPublicationtype: Editorial126 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Guest editorial: predicting consumer behavior using partial least squares structural equation modeling (PLS-SEM)(2021-01-11); ; ; ; Publicationtype: Editorial109 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Structural model robustness checks in PLS-SEM(Sage Publications, 2020-06-01); ; ; ; Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the robustness of PLS-SEM results. Although these improvements are documented in extant literature, research on tourism has been slow to adopt the relevant complementary methods. This article illustrates the use of recent advances in PLS-SEM, designed to ensure structural model results’ robustness in terms of nonlinear effects, endogeneity, and unobserved heterogeneity in a PLS-SEM framework. Our overarching aim is to encourage the routine use of these complementary methods to increase methodological rigor in the field.Publicationtype: Journal Article254 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Predictive model assessment in PLS-SEM: guidelines for using PLSpredictPurpose: Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature of their analyses, model evaluation assessment relies exclusively on metrics designed to assess the path model’s explanatory power. Recent research has proposed PLSpredict, a holdout sample-based procedure that generates case-level predictions on an item or a construct level. This paper offers guidelines for applying PLSpredict and explains the key choices researchers need to make using the procedure. Design/methodology/approach: The authors discuss the need for prediction-oriented model evaluations in PLS-SEM and conceptually explain and further advance the PLSpredict method. In addition, they illustrate the PLSpredict procedure’s use with a tourism marketing model and provide recommendations on how the results should be interpreted. While the focus of the paper is on the PLSpredict procedure, the overarching aim is to encourage the routine prediction-oriented assessment in PLS-SEM analyses. Findings: The paper advances PLSpredict and offers guidance on how to use this prediction-oriented model evaluation approach. Researchers should routinely consider the assessment of the predictive power of their PLS path models. PLSpredict is a useful and straightforward approach to evaluate the out-of-sample predictive capabilities of PLS path models that researchers can apply in their studies. Research limitations/implications: Future research should seek to extend PLSpredict’s capabilities, for example, by developing more benchmarks for comparing PLS-SEM results and empirically contrasting the earliest antecedent and the direct antecedent approaches to predictive power assessment. Practical implications: This paper offers clear guidelines for using PLSpredict, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses. Originality/value: This research substantiates the use of PLSpredict. It provides marketing researchers and practitioners with the knowledge they need to properly assess, report and interpret PLS-SEM results. Thereby, this research contributes to safeguarding the rigor of marketing studies using PLS-SEM.Publicationtype: Journal Article499 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Convergent validity assessment of formatively measured constructs in PLS-SEM: On using single-item versus multi-item measures in redundancy analyses(2018-11-12); ; ; ; Purpose: Researchers often use partial least squares structural equation modeling (PLS-SEM) to estimate path models that include formatively specified constructs. Their validation requires running a redundancy analysis, which tests whether the formatively measured construct is highly correlated with an alternative measure of the same construct. Extending prior knowledge in the field, this paper aims to examine the conditions favoring the use of single vs multiple items to measure the criterion construct in redundancy analyses. Design/methodology/approach: Merging the literatures from a variety of fields, such as management, marketing and psychometrics, we first provide a theoretical comparison of single-item and multi-item measurement and offer guidelines for designing and validating suitable single items. An empirical comparison in the context of hospitality management examines whether using a single item to measure the criterion variable yields sufficient degrees of convergent validity compared to using a multi-item measure. Findings: The results of an empirical comparison in the context of hospitality management show that, when the sample size is small, a single item yields higher degrees of convergent validity than a reflective construct does. However, larger sample sizes favor the use of reflectively measured multi-item constructs, but the differences are marginal, thus supporting the use of a global single item in PLS-SEM-based redundancy analyses. Originality/value: This study is the first to research the efficacy of single-item versus multi-item measures in PLS-SEM-based redundancy analyses. The results illustrate that a convergent validity assessment of formatively measured constructs can be implemented without triggering a pronounced increase in survey length.Publicationtype: Journal Article183