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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.

The purpose of this paper is to examine the role that Facebook Fan Pages (FFPs) play in the generation of visit intention. The study has three objectives: first, to examine the effects of museum-generated content (MGC) on perceived information quality and perceived customer service and perceived information quality and perceived customer service on visit intention and, second, to test the model with two samples to make comparisons that provide useful insights.

Data were collected through an online survey that achieved 308 valid responses. A multi-group analysis was conducted to compare the results from two groups: users of the Frida Kahlo museum and Anahuacalli museum FFPs.

The results reveal that there are significant differences between the two samples regarding the direct effects of perceived information quality on visit intention and perceived customer service on visit intention. The authors also noted a slight difference between the two museums’ FFPs in the relationship between MGC and perceived information quality.

Further research is needed to examine other FFP factors that influence visit intention to clarify the results obtained from the two samples and to analyse the proposed model in other settings. This research contributes to the literature concerning the impact of online platforms on visit intention.

The findings provide useful insights for managers as to how to increase their FFP followers’ intention to visit their establishments.

El propósito de esta investigación es examinar el papel que desempeñan las páginas de fans de Facebook (PFFs) en la generación de intenciones de visita. El objetivo de este estudio es doble: primero, examinar los efectos del contenido generado por el museo sobre la calidad de la información percibida y el atención al cliente percibido, y la calidad de la información percibida y el atención al cliente percibido sobre las intenciones de la visita y el segundo, probar el modelo en dos muestras para establecer una comparación que proporcione ideas útiles.

Los datos fueron recogidos a través de una encuesta online de 308 respuestas válidas. Se realiza un análisis multigrupo para comparar los resultados entre dos grupos: PFF del museo de Frida Kahlo y la PFF del museo Anahuacalli.

Los resultados revelan que existen diferencias significativas entre las dos muestras con respecto a los efectos directos de la calidad de la información percibida en las intenciones de visita y el servicio al cliente percibido en las intenciones de visita. También se ha observado una ligera diferencia entre las PFF de los dos museos en la relación entre el contenido generado por el museo y la calidad de la información percibida.

Se necesita más investigación para examinar otros factores en las PFF que influyen en las intenciones de visitar, aclarar los diferentes resultados obtenidos en las dos muestras y analizar el modelo propuesto en otros entornos. Esta investigación contribuye a la literatura sobre el impacto de las plataformas online en las intenciones de visitar.

Los resultados proporcionan información útil para los gerentes sobre cómo aumentar las intenciones de sus seguidores de visitar sus establecimientos.

Intención de visitar, Contenido generado por el museo, Calidad de la información percibida, Atención al cliente percibido, Facebook

Trabajo de investigación

Intrapreneurship is rapidly concerning organizations to tailor their operations and strategies for competitive advantage. Research on intrapreneurial dimensions is in the developing stage, requiring more rigorous methods of investigation and application in various contexts. This study aims to focus on individual level intrapreneurship by examining the association of personality traits (PTs) on intrapreneurial behaviour (IB) moderated by knowledge sharing behaviour (KSB) and comparison of employees in engineering and functional departments.

A survey has been conducted for data collection using a structured questionnaire. Partial least squares structural equation modelling has been used for hypotheses testing, moderation and multi-group analysis on a sample of 534 respondents.

Results reveal that PTs exerted a positive influence on IB. The impact of PTs on IB was more pronounced in the employees of functional departments. KSB moderates positively in the relationship between PTs and IB. Both groups significantly differ in dimensions of PTs.

Organizations can do little to improve PTs of employees, which impacts on intrapreneurship in organizations. However, KSB in organizations can be improved by adopting various measures. KSB eventually promotes innovation in organizations resulting in an overall competitive advantage for firms.

This is the first study that contributes theoretically in intrapreneurship literature by providing insights on PTs impacting IB incorporating KSB and comparing the diverse group of employees.

This study aims to analyze the role of corporate social responsibility (CSR) customer perceptions, customer–company identification and customer trust on customer engagement (CE), paying special attention to the moderating effects of two types of social media communication, firm-generated content and user-generated content.

The study uses a mixed-methods’ approach. First, a single-factor experiment using Twitter posts as stimuli with 227 hotel guests. The structural model was analyzed using SmartPLS 3.2.7. Second, structured in-depth interviews were undertaken with three hotel industry experts to complement the conclusions of the quantitative study.

The results show that when a customer trusts a hotel and identifies with its corporate values, CSR tweets generate CE toward the hotel. CSR communications made by customers reinforce the impact of CSR tweets on customer trust more than CSR tweets posted by hotels. Hotel industry experts give insights to explain these results in different types of hotels.

CSR communications made through Twitter affect customers’ perceptions of a hotel’s CSR activities and customer trust in hotels, especially if they originate from a source external to the company. This result can be of use for hotel managers who have not previously given importance to active CSR communications or the interactivity of social media.

The authors show the moderating effect of user-generated content in the relationship between CSR customer perceptions and customer trust, thus contributing to the research into the effectiveness of social media. They use a mixed-methods’ approach to increase the validity of the results.

Este estudio analiza el papel de las percepciones de RSC, la identificación cliente-empresa (CCI) y la confianza en el engagement del cliente (CE), prestando especial atención al efecto moderador de dos tipos de comunicación en redes sociales: Contenido Generado por la Empresa (FGC) y Contenido Generado por el Usuario (UGC).

Se emplean métodos mixtos: un experimento de un factor usando publicaciones de Twitter como estímulo con 227 huéspedes del hotel, cuyo modelo estructural se analizó con SmartPLS 3.2.7., y 3 entrevistas en profundidad con expertos de la industria hotelera.

Los resultados muestran que, cuando un cliente confía en el hotel y se identifica con sus valores corporativos, los tweets de RSC generan engagement. La comunicación de RSC emitida por usuarios refuerza el impacto de los tweets de RSC en la confianza del cliente más que los tweets publicados por hoteles. Los expertos de la industria hotelera aportan nociones para explicar estos resultados en diferentes tipos de hoteles.

La comunicación de RSC realizada a través de Twitter afecta las percepciones del cliente sobre las actividades de RSC del hotel y la confianza en el mismo, especialmente si proceden de una fuente externa a la empresa. Este resultado puede ser útil para gerentes de hoteles que no se benefician de la comunicación activa de RSC o la interactividad de las redes sociales.

Se valida el efecto moderador del UGC en la relación entre las percepciones de RSC y la confianza de los clientes, contribuyendo así a la investigación sobre la efectividad de las redes sociales. Se emplea un diseño mixto para incrementar la validez de los resultados.

Comunicación de RSC, Engagement del Consumidor, Fuente del mensaje, Contenido generado por la empresa, Contenido generado por el usuario, Twitter, Compromiso con el cliente

Trabajo de investigación

This paper integrates the action phase theory (APT) and the theory of planned behaviour (TPB) to analyse the dynamic mechanisms involved in the configuration of goals and implementation intentions throughout the entrepreneurship process.

The empirical analysis compares individuals in different phases of this process (not yet decided, potential and nascent entrepreneurs). A large sample of adults from Spain is analysed. Structural equation models and multi-group analysis (MGA) serve to test the hypotheses.

The results confirm that perceived behavioural control (PBC) is the most influential antecedent of entrepreneurial goal intention (EGI) in pre-actional phases (undecided and potential entrepreneurs), whilst attitude towards entrepreneurship (ATE) takes this role during nascency. Subjective norms (SNs) are more important in Phase 1 (establishing the goal) and in Phase 3 (performing nascent behaviour).

This study contributes to both the TPB and the APT. It provides the most relevant insight into the mental process that leads to starting up and helps explain certain previous conflicting results found in the literature. Additionally, it has important implications not only for theory building but also for support bodies and for entrepreneurship educators.

This paper aims to understand the impact of service quality on corporate image and customer satisfaction. Furthermore, this study also examined the influence of corporate image and customer satisfaction on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction on the relationships between service quality–revisit intention and service quality–word of mouth was also examined.

This study used the survey questionnaire method and collected data from 253 respondents comprising of customers who had karaoke singing experience in the Karaoke television (KTV). The partial least squares structural equation modeling was used in this study.

This study found that service quality has a significant positive influence on corporate image and customer satisfaction. Corporate image does not have a significant influence on revisit intention but has a significant positive influence on word of mouth. Furthermore, customer satisfaction has a significant positive influence on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction is also found to be significant for most of the relationships.

This study showed the importance of service on customers’ reactions and behaviors in the KTV context, which have not been previously investigated. Businesses should always provide superior service quality to their customers because it impacts their subsequent behaviors such as revisit intention and word of mouth.

This study aims to investigate both the relationships among the on-board environment, overall satisfaction, perceived value and behavioral intentions and the moderating effects of gender, employment status, group composition and the propensity to stay on board in the context of cruise experience.

Relationships among constructs were tested on the basis of 417 surveys collected and analyzed with the structural equation modeling approach of partial least squares path modeling. A multi-group analysis was used to test the moderating effects.

The research findings suggest that on-board environment is a good predictor of behavioral intentions, but that the relationship is strongly mediated by satisfaction and perceived value. Moreover, the multi-group analysis of moderating effects indicated various differences that offer interesting insights for segmenting passengers; these insights have substantial implications for future studies and cruise line companies alike.

This study offers useful insights for managers who want to differentiate their value proposition with ship-centered elements.

This study contributes to the literature by providing a theoretical framework and empirical evidence for analyzing the role of the perceived on-board environment in passenger experience. From a managerial perspective, the moderating effects offer new insights for targeting and customizing the cruise experience value proposition.

This study uses social capital theory to analyze how social capital and supplier development support achieving supplier satisfaction and preferred customer status. The resulting model is compared between manufacturing and service suppliers.

A survey receiving 482 supplier responses from manufacturing and service suppliers was utilized and analyzed using partial least squares (PLS) path modeling and multi-group comparison tests.

The paper adds new explanations for preferred customer status through empirical evidence of relationships between supplier development, social capital, supplier satisfaction, and preferred customer status. Cognitive and relational capital directly support achieving preferred customer status. The role of supplier satisfaction in achieving preferred customer status is lower for manufacturing suppliers.

Both service and manufacturing suppliers could also be studied in their specific industry settings. A more in-depth investigation of other business relationship dynamics, such as power, is needed in a future study.

Service and manufacturing suppliers need different strategies to obtain the benefits from supplier development and social capital building. For service suppliers, more intangible factors are relevant in comparison to manufacturing suppliers.

This study advances the literature in two main ways. First, it elaborates the role of supplier development and social capital in the path toward supplier satisfaction and preferred customer status as perceived by suppliers. Second, this study answers the calls for a better understanding of the contextual characteristics underlying potential differences in how preferred customer status is formed.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

This paper aims to assess the application of seven statistical and data mining techniques to second-stage data envelopment analysis (DEA) for bank performance.

Different statistical and data mining techniques are used to second-stage DEA for bank performance as a part of an attempt to produce a powerful model for bank performance with effective predictive ability. The projected data mining tools are classification and regression trees (CART), conditional inference trees (CIT), random forest based on CART and CIT, bagging, artificial neural networks and their statistical counterpart, logistic regression.

The results showed that random forests and bagging outperform other methods in terms of predictive power.

This is the first study to assess the impact of environmental factors on banking performance in Middle East and North Africa countries.