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People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.

This article aims to propose guidelines to develop moderation hypotheses, assess moderators using the multigroup analysis and interaction effect approaches and interpret the results of moderation analysis in tourism and hospitality research.

Through a review of 600 articles published in top tourism and hospitality journals from the year 2016 to 2020, and reviewing the literature related to moderation analysis, this study identifies key issues in different steps of moderation analysis and proposes robust guidelines to aid future research.

The results of the systematic review uncovered some key issues in different steps of moderation analysis, such as hypothesis development, moderation assessment and results interpretation. The findings emphasized the typical methodological misconceptions and improper practices for moderation analysis.

Moderation analysis is of great significance to the advancement of theory, and its application has increased significantly in recent years. However, many studies appear to have a limited understanding of moderation analysis and follow questionable practices regarding hypothesis development, moderation assessment and results interpretation, thus leading to suspicious conclusions for theory advancement. By highlighting these methodological issues, this article provides robust guidelines for moderation analysis, which is of great theoretical and methodological significance to the academic research in tourism and hospitality.

As one of the first studies to provide robust guidelines for moderation analysis, based on a critical and systematic review of papers published in top-tier journals in tourism and hospitality and the latest developments on moderation analysis in the wider literature, this article has important theoretical and methodological significance for the academic research in tourism and hospitality as well as general social science disciplines.

Considering both online and offline service scenarios, this study aims to explore the factors affecting doctors' intention to offer consulting services in eHealth and compare the factors between the free- and paid-service doctors. The theory of reasoned action and social exchange theory are integrated to develop the research model that conceptualizes the role of extrinsic motivations, intrinsic motivations, costs, and attitudes in doctors' behavioral intentions.

Partial least square structural equation modeling (PLS-SEM) was leveraged to analyze 326 valid sample data. To provide robust results, three non-parametric multigroup analysis (MGA) methods, including the PLS-MGA, confidence set, and permutation test approaches, were applied to detect the potential heterogeneity between the free- and paid-service doctors.

The results with overall samples reveal that anticipated rewards, anticipated associations, anticipated contribution, and perceived fee are all positively related to attitude, which in turn positively influences behavioral intention, and that perceived fee positively moderates the relationship between attitude and behavioral intention. Attitude's full mediation is also confirmed. However, results vary between the two groups of doctors. The three MGA approaches return relatively convergent results, indicating that the effects of anticipated associations and perceived fee on attitude are significantly larger for the paid-service doctors, while that of anticipated rewards is found to be significantly larger for the free-service doctors.

eHealth, as a potential contactless alternative to face-to-face diagnoses, has recently attracted widespread attention, especially during the continued spread of COVID-19. Most existing studies have neglected the underlying heterogeneity between free- and paid-service doctors regarding their motivations to engage in online healthcare activities. This study advances the understanding of doctors' participation in eHealth by emphasizing their motivations derived from both online and offline service scenarios and comparing the differences between free- and paid-service doctors. Besides, horizontally comparing the results by applying diverse MGA approaches enriches empirical evidence for the selection of MGA approaches in PLS-SEM.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

This study aims to understand the push and pull motivations of leisure tourists who stay for one or more nights on the Opatija Riviera and explores the causal connection between motivations and loyalty intention with regard to holiday style. It verifies path discrepancy based on generational and educational differences.

The data were collected over a four-month period that included the low and high seasons of 2019. In total, 246 useable questionnaires were collected through on-site research. First, exploratory factor analysis was conducted as this was the first tourist loyalty study to be conducted in the Opatija Riviera region. Then, to test for causal significance amongst relationships and differences at the path level, the partial least square method and multigroup analysis (MGA) was undertaken.

The results showed that overall satisfaction fully mediates the relationship between the two established motivations (novelty seeking and outdoor activity) and loyalty to holiday style and partially between relaxation and loyalty to holiday style. Further, MGA results indicated a significant discrepancy in the relationship between preferred holiday style with regard to educational and age difference.

This study offers new insights regarding a relatively new type of tourist loyalty by developing a theoretical framework that assesses the relationship between loyalty intention and motivation, as well as overall satisfaction.

度假方式忠诚度：动机决定因素

本研究旨在了解在奥帕提亚里维埃拉 度假一晚或多晚的休闲游客的推拉动机, 并探究了度假方式方面的动机和忠诚意愿之间的因果关系。它基于代际和教育差异来验证路径差异。

这些数据是在4个月的时间内收集的, 包括2019年的淡季和旺季。通过现场调研, 共收集到246份可用问卷。首先, 进行了探索性因素分析(EFA), 因为这是在奥帕提亚里维埃拉 (Opatija Riviera) 地区进行的第一次游客忠诚度研究。然后, 采用偏最小二乘法(PLS)和多组分析(MGA)检验各关系之间的因果意义和路径层次上的差异。

结果显示, 总体满意度完全调节了两种已确立的动机(寻求新奇、户外活动)和对度假方式忠诚度之间的关系, 部分调节了寻求放松和对度假方式忠诚度之间的关系。此外, MGA结果显示, 受教育程度与年龄差异的度假方式偏好之间存在显著差异。

本研究通过建立一个理论框架来评估忠诚意愿和动机以及总体满意度之间的关系, 为一种相对新型的游客忠诚度提供了新的见解。

Lealtad al estilo de vacaciones: determinantes motivacionales

El objetivo del presente estudio es entender las motivaciones push y pull de turistas de ocio que permanecen una noche o más noches en la Riviera de Opatija y explorar la relación de causalidad entre las motivaciones y la intención de lealtad con respecto al estilo de vacaciones. El estudio evalúa las discrepancias de trayectoria basadas en las diferencias generacionales y educacionales.

La recolección de datos se realizó durante un período de cuatro meses que incluía las temporadas bajas y altas del año 2019. En total se recogieron 246 cuestionarios usables a través de las investigaciones de campo. En primer lugar, se llevó a cabo un análisis factorial exploratorio (AFE), dado que éste fue el primer estudio de lealtad turística llevado a cabo en la región de la Riviera de Opatija. En segundo lugar, para comprobar la significancia causal entre las relaciones y las diferencias a nivel de trayectoria, han sido realizados el método de los mínimos cuadrados parciales (MCP) y el análisis multigrupo (AMG).

Los resultados indican que la satisfacción general revela enteramente la relación entre las dos motivaciones establecidas (búsqueda de novedad, actividad al aire libre) y la lealtad al estilo de vacaciones, y, parcialmente, la relación entre el relax y la lealtad al estilo de vacaciones. Además, los resultados de AMG indican una discrepancia relevante en la relación entre el estilo de vacaciones preferido con respecto a las diferencias de educación y edad.

El presente estudio ofrece nuevas perspectivas en cuanto a un tipo relativamente nuevo de lealtad turística, desarrollando un marco teórico que establece la relación entre la intención de lealtad, la motivación y la satisfacción general.

Drawing on expectancy violation theory, this study aims to assess the impact of corporate environmental irresponsibility (CEI) on workplace deviant behaviors (WDB) of Generation Z and Millennials through the mediation of moral outrage.

The data were collected from 328 nonmanagerial employees working in the refinery, petroleum and power distribution companies who have been convicted for committing environmental irresponsibility by a court of law. Multigroup analysis (MGA) was used to estimate the hypothesized relationships.

Results revealed that CEI affects WDBs positively. Moreover, the MGA results demonstrated that the deviant behavior of Generation Z in response to environmental irresponsibility is higher than of the Millennials.

Theoretically, the findings implicate that harming the environment will cost organizational performance through deviant behaviors.

This study provides a new lens for the executive management that eliminating social irresponsibility is more important than incurring sustainability initiatives, especially from the new generation’s perspective.

The originality of this study is that it confirmed the impact of CEI on employees’ deviant behaviors; and extended the scope of expectancy violation theory to the field of human resources.

This study developed an extended model of self-congruity by integrating destination image, destination personality, self-congruity, revisit intention and gender.

Surveys were conducted with 645 Chinese tourists visiting New Zealand. Partial least squares structural equation modelling (PLS-SEM) was performed to estimate linkages between destination image, destination personality, self-congruity and revisit intention. To compare effects on revisit intention across male and female Chinese tourists, PLS-Henseler's multigroup analysis and PLS-permutation test were conducted to analyse gender as a moderator in the proposed framework.

Our results revealed positive direct effects among destination image, destination personality, self-congruity and revisit intention. Our findings indicated a highly significant difference in the effects of destination personality on ideal self-congruity across male and female Chinese tourists. The association between destination image and self-congruity identified through this model represents a crucial contribution to the tourism literature. This study also enriches tourism research by comparing male and female Chinese tourists' intentions to revisit New Zealand, having identified crucial heterogeneity within female tourists.

The practical implications from our research can improve destination marketing organization (DMO) officials' awareness of one-time and repeat Chinese tourists' experiences, which strongly trigger subsequent visits.

This paper is the first to examine the direct correlations among destination image, destination personality, self-congruity and revisit intention by considering whether gender might moderate these factors. Our study innovatively adopted PLS-SEM along with several advanced analytical approaches, such as multigroup analysis (MGA) of women and men, to examine our research model.

This study aims to examining how tourists’ activities condition the relationship between destination image, satisfaction and loyalty.

This study used a constructive replication design (CRD) to investigate the alleged critical role of tourism activities in impacting the tourism experience dimensions of image, satisfaction and loyalty. The CRD approach does not include new concepts or original relationships. However, what is new in the established relationship between image, satisfaction and loyalty is discerning the role of tourism activities as a moderator conditioning the relationship between the three dimensions. The purpose is to establish the external validity of previous studies’ findings through a more stringent test of the findings’ replicability. The analysis used partial least square modeling to examine the relationship between activities, dimensions and multigroup analysis to estimate potential significant differences in group-specific parameters, which are not often used in destination analysis, ensuring rigor in the data analysis and model. The number and type of activities practiced moderate the relationships between these constructs.

The results indicate that tourists’ type and several destination activities moderate the relationship between tourists’ satisfaction, perceived image and loyalty. The results also suggest that the more destination activities tourists practice, the greater is their satisfaction. These two theoretical propositions put activities at the center of destination management and marketing and identify potential experiential consumption spheres. The analysis of activities’ central role is a productive research field.

This study made several recommendations to destination managers to increase activities participation such as strategic marketing opportunities, expansion of the activities portfolio with sports, wellness, nature based and life observation wildlife, voluntary and educational activities, revamping of the UNESCO heritage site and festivals. This study also recommended a strategic use of technology for information dissemination, the design of a daily activity agenda based on the identified segments’ activity patterns and a destination one-stop online travel shopping.

To the best of the authors’ knowledge, this study is the first to apply the tourism activity-based approach to examine actual tourist behavior regarding their engaged activities instead of their experience or perceptions with those activities in a small island destination. Another contribution lies in examining if tourists’ type and activity engagement moderate the relationship between tourists’ satisfaction, perceived image and loyalty. This paper requires researchers to consider tourism activities’ impact on tourists’ image, satisfaction and loyalty.

小型海岛旅游目的地的旅游活动, 形象, 和旅客的满意度和忠诚度

本案例研究考察了旅游活动如何影响目的地形象、游客满意度和忠诚度之间的关系。

本研究采用建设性复制设计 (CRD) 来分析旅游活动在影响目的地形象、游客满意度和忠诚度等三个旅游体验维度起到的关键作用。 CRD 方法并没有引进新概念或关系。然而, 本研究新颖的地方在于认证旅游活动在目的地形象、游客满意度和忠诚度三个维度之间建立的调节关系。该研究通过严格测试研究结果的可复制来建立先前研究的外部有效性。该分析使用 PLS建模 和多组分析（MGA）来检验旅游活动和旅游体验的多维度之间的关系和估计特定组参数的潜在显著差异。 这些参数在目的地研究中不常使用, 从而确保我们数据分析和模型的严谨性。该研究结果表明旅游活动的数量和类型调节了这些旅游体验维度的关系。

研究结果表明游客的类型和某些旅游活动调节了游客满意度、目的地形象和忠诚度之间的关系。结果还表明, 游客参与的活动越多, 他们的满意度就越高。这两个研究结果确定了旅游活动在目的地管理和营销的中心地位, 同时也指出了潜在体验消费的范围。研究目的地活动的核心作用将会是一个富有成效的领域。

本研究首次应用基于旅游活动的理论方法 (TAB) 来检查旅客在小型海岛旅游目的地的实际行为, 而不是他们的体验或看法。本研究的另一个贡献在于检验游客的类型和活动参与是否会调节他们满意度、感知目的地形象和忠诚度之间的关系。该论文结果表明未来的研究需要考虑旅游活动对目的地形象、游客满意度和忠诚度的影响。

本研究向目的地管理人员提出了几项建议以提高旅游活动的参与度, 例如战略营销机会、扩大运动、康养、大自然和野生动物观摩的活动组合、志愿和教育活动、和改善联合国教科文组织遗产地和节日。该研究还建议战略性地使用技术进行信息传播, 根据确定的细分市场活动模式设计游客日常活动议程, 以及目的地一站式在线旅游购物。

Este caso de estudio examina cómo las actividades de los turistas condicionan la relación existente entre la imagen del destino, la satisfacción y la fidelidad.

El estudio empleó una replicación constructiva para investigar el supuesto papel crítico de las actividades turísticas en el efecto de la imagen, satisfacción y lealtad de los turistas en su experiencia turística. El enfoque usado no incluye nuevos conceptos ni relaciones originales. Sin embargo, lo novedoso de la relación establecida entre imagen, satisfacción y fidelidad es discernir el papel de las actividades turísticas como moderadoras condicionando la relación entre las tres dimensiones. El propósito es establecer la validez externa de los resultados de estudios previos a través de una prueba más estricta sobre la replicabilidad de dichos resultados. El análisis utilizó un modelo PLS para examinar la relación entre las actividades, las dimensiones mencionadas y el análisis multigrupo con el objetivo de estimar las posibles diferencias significativas entre los parámetros de cada grupo, método no se utiliza con frecuencia en el análisis de destinos turísticos, lo que garantiza el rigor de nuestro análisis y del modelo. El número y tipo de actividades practicadas moderan las relaciones entre los constructos.

Los resultados indican que el tipo de turistas y las diversas actividades del destino moderan la relación entre la satisfacción, la imagen percibida y la lealtad de los turistas. Los resultados también sugieren que cuantas más actividades del destino sean practicadas por los turistas, mayor es su satisfacción. Estas dos propuestas teóricas sitúan las actividades en el centro de la gestión y el marketing de destinos e identifican esferas potenciales de consumo experiencial. El análisis del papel central de las actividades es un campo de investigación en auge.

Este estudio es el primero en aplicar el enfoque basado en actividades turísticas para analizar el comportamiento del turista con respecto a las actividades realizadas en relación con su experiencia o percepciones con esas actividades en un destino insular pequeño. Otra contribución radica en estudiar si el tipo de turista y su compromiso con la actividad moderan la relación entre la satisfacción de los turistas, la imagen percibida y la fidelidad. El estudio sugiere que los investigadores deben considerar el impacto de las actividades turísticas en la imagen, satisfacción y fidelidad de los turistas.

El estudio realiza varias recomendaciones a los administradores de destinos para aumentar la participación en actividades, como oportunidades de marketing estratégico, expansión de la cartera de actividades con deportes, bienestar, observación de la vida y la naturaleza basada en la naturaleza, actividades voluntarias y educativas, renovación del sitio del patrimonio de la UNESCO y festivales. El estudio también recomendó un uso estratégico de la tecnología para la difusión de información, el diseño de una agenda de actividades diarias basada en los patrones de actividad de los segmentos identificados y una ventanilla única de viajes en línea.

This study aims to investigate the influence of perceived risk, including financial, functional, aesthetic, sanitary, psychological and social risks, on the intention to purchase second-hand clothing (SHC) between SHC consumers and non-SHC consumers based on perceived risk theory.

A total of 290 responses were collected, with 110 from SHC consumers and 180 from non-SHC consumers. Partial least squares structural equation modelling was used to validate the hypotheses. Additionally, a permutation test and multigroup analysis (MGA) were performed.

The findings indicate that different types of risk have varying effects on both SHC and non-SHC consumers’ intention to purchase SHC. In particular, financial, aesthetic and social risks are found to be significant predictors of purchase intention for SHC consumers. By contrast, sanitary and psychological risks are significant predictors of purchase intention for non-SHC consumers. Furthermore, the MGA results indicate a significant difference between SHC consumers and non-SHC consumers in the relationship between financial risk, social risk and purchase intention.

To the best of the authors’ knowledge, this is the first study to examine the effects of different types of risk on the intention to purchase SHC in both SHC and non-SHC consumers. The findings will provide practitioners with practical insights for developing more effective strategies to target these two distinct consumer groups.

The goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be logically categorized into actionable sets of practices, which then form a broader conceptualization of the demand planning process. Second, regarding certain contextual factors, our research seeks to investigate the contribution of demand planning, as a higher-order construct, to mitigating disruptions induced by operational risks in supply chains.

In this study, PLS-SEM was used to estimate the reflective-formative nature of the model. The results of PLS-SEM were additionally complemented by the assessment of the predictive power of our model. Finally, to reveal possible contingency effects, the multigroup analysis (MGA) was conducted.

The study suggests that demand planning process (DPP) is a second-order construct that is composed of four sets of practices, including goal setting, data gathering, demand forecasting, communicating the demand predictions and synchronizing supply with demand. The study also reveals that the demand planning practices, only when considered together, as a higher-order factor, significantly contribute to mitigating disruptions driven by operational risks. Finally, the research shows that the strength of the impact of demand planning on disruptions is contextually dependent.

While the study makes some important contributions, the obtained findings ought to be considered within the context of limitations. First, the study only investigates disruptions driven by operational risks, ignoring the negative consequences of environmental risks (terrorist attacks, natural disasters, etc.), which may have a far more negative impact on supply chains. Second, the sample is mostly composed of medium and large companies, not necessarily representative of demand planning performed by the entire spectrum of companies operating in the market.

The study shows that to effectively mitigate disruptions induced by operational risks, the demand planning practices should be integrated into a higher-order construct. Likewise, our research demonstrates that the intensity of demand planning process is contingent upon a number of contextual factors, including firm size, demand variability and demand volume.

The study indicates that to mitigate disruptions of operational risk, demand planning as a higher-order dynamic capability can be referred to the concept of organizational learning, which contributes to forming a critical common ground, ensuring the balance between formal and informal dynamic routines.

The paper depicts that to fully deal with disruptions, the demand planning practices need to be integrated and categorized into the dedicated higher-order. This may lead to forming demand planning as a higher-order dynamic capability that provides a more rapid and efficient rebuttal to any disruptions triggered by operational risks.