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Purpose – Partial least squares (PLS) path modeling has become a pivotal empirical research method in international marketing. Owing to group comparisons' important role in research on international marketing, we provide researchers with recommendations on how to conduct multigroup analyses in PLS path modeling.

Methodology/approach – We review available multigroup analysis methods in PLS path modeling and introduce a novel confidence set approach. A characterization of each method's strengths and limitations and a comparison of their outcomes by means of an empirical example extend the existing knowledge of multigroup analysis methods. Moreover, we provide an omnibus test of group differences (OTG), which allows testing the differences across more than two groups.

Findings – The empirical comparison results suggest that Keil et al.'s (2000) parametric approach can generally be considered more liberal in terms of rendering a certain difference significant. Conversely, the novel confidence set approach and Henseler's (2007) approach are more conservative.

Originality/value of paper – This study is the first to deliver an in-depth analysis and a comparison of the available procedures with which to statistically assess differences between group-specific parameters in PLS path modeling. Moreover, we offer two important methodological extensions of existing research (i.e., the confidence set approach and OTG). This contribution is particularly valuable for international marketing researchers, as it offers recommendations regarding empirical applications and paves the way for future research studies aimed at comparing the approaches' properties on the basis of simulated data.

One of the novel concepts in the management literature is intimate co-creation. Considering it as the outcome of workplace persuasion, this study examines its effect via team-member exchange and ethical climate for the assessment of multigroup analysis. Finding a relationship among variables is not the core objective of the study. The core objective was to assess multigroup analysis for examining measurement scales' uniformity or perceptual differences across the male and female groups using measurement invariance.

This was a quantitative study for a survey of faculty members from the top 10 Pakistani universities. It employed state-of-the-art statistical techniques, including the application of the foundational social exchange theory and the utilization of multigroup analysis in structural equation modeling (SEM) with the Analysis of Moment Structure (AMOS). The research methodology was designed to investigate the relationships between workplace persuasion, ethical climate, team member exchange and intimate co-creation. A specific emphasis was placed on assessing whether gender influences these relationships consistently across male and female groups, as determined by measurement invariance tests.

This study underscores the significant impact of ethical persuasion in the workplace on enhancing intimate co-creation among individuals, offering invaluable insights for organizational leaders. Importantly, it emphasizes that gender dynamics do not influence this relationship, underscoring the imperative of addressing gender-related workplace issues to optimize intimate co-creation. This holds particular relevance for service-based organizations, such as universities in this case.

This study makes a significant contribution by exploring the concept of intimate co-creation within the realm of organizational science, while also highlighting the crucial importance of considering workplace gender dynamics. It offers fresh insights into how these dynamics influence group creativity, guiding human resource practices toward fostering innovation within gender-inclusive workplaces. These insights gain added relevance in the evolving post-COVID-19 era and in the context of AI integration. Notably, a distinctive contribution of this study to social exchange theory lies in its innovative application of multigroup analysis to variables related to gender.

Research on international marketing usually involves comparing different groups of respondents. When using structural equation modeling (SEM), group comparisons can be misleading unless researchers establish the invariance of their measures. While methods have been proposed to analyze measurement invariance in common factor models, research lacks an approach in respect of composite models. The purpose of this paper is to present a novel three-step procedure to analyze the measurement invariance of composite models (MICOM) when using variance-based SEM, such as partial least squares (PLS) path modeling.

A simulation study allows us to assess the suitability of the MICOM procedure to analyze the measurement invariance in PLS applications.

The MICOM procedure appropriately identifies no, partial, and full measurement invariance.

The statistical power of the proposed tests requires further research, and researchers using the MICOM procedure should take potential type-II errors into account.

The research presents a novel procedure to assess the measurement invariance in the context of composite models. Researchers in international marketing and other disciplines need to conduct this kind of assessment before undertaking multigroup analyses. They can use MICOM procedure as a standard means to assess the measurement invariance.

The substantial expansion of technology and the efficacy of digital platforms in reaching young audiences have led to enhanced targeting and customization of promotional communications. Notwithstanding the expansion and efficacy of contemporary advertising platforms, scholarly attention has not kept pace with this domain of inquiry. This study aims to assess the antecedents of Google Shopping Ads (GSA) on intention to purchase behavior among the Generation Y and Z cohorts.

The current study used a quantitative approach and snowball sampling technique to gather primary data via a questionnaire and Google Forms, which resulted in the collection of 5,808 questionnaires among the cohort members. A principal component analysis and multigroup confirmatory multigroup structural equation modeling (between Generation Y and Z) were used to assess the research data and model.

The results show positive trust and perceived value associations with intention to purchase, particularly among Generation Y and Z consumers. The findings also show negative irritation, product risk and time risk associations with intention to purchase, especially among the Generation Y cohort, which indicates that young consumers generally do not observe perceived risk due to the usage of GSA.

GSA will continue to grow and become an increasingly important integrated marketing communications tool as the digital landscape develops. It can be concluded that young consumers show a high degree of perceived value and low levels of perceived risk due to the use of GSA. This study, therefore, promotes improved understanding among academics, marketers and businesses of search engine advertising among young cohorts of consumers (Generation Y and Z) in a developing country context.

The purpose of this paper is to establish the link between three constructs, namely, service innovation, corporate reputation (CR), and word-of-mouth (hereinafter WOM). Primarily, the aim is to understand whether innovation in a service firm drives its reputation, thereby resulting in positive WOM where the direct effect of service innovation of a firm on WOM is mediated by reputation. Furthermore, the study also seeks to understand whether the type of service firm has an effect on determining the level of the mediation effect.

This study adopts an integrated approach where the measure for the construct service innovation is explored through a qualitative approach, and the conceptual model is estimated through path analysis. The service industry taken for this study is banking, and the through non-probability criterion sampling technique, 252 customers responded to their level of agreement. The PLS-SEM technique was used to estimate the path coefficient by following the two-stage approach. The multigroup moderation analysis is performed to determine whether the type of the bank plays a major role in determining the direct effects and the mediation effect of CR between service innovation and WOM.

The result of this study indicates that there is a strong positive association between the three constructs. Further, the direct relationship between service innovation and WOM is partially mediated by reputation. The result of the multigroup moderation indicates that the type of the bank plays a major role in determining the mediation effect of reputation.

The study helps the decision makers and the managers of the bank to understand that frequent innovation within the firm would help to gain reputation, and thereby customers would tend to give a positive WOM. Further, non-reputable firms can still gain a positive WOM if they continuously innovate new services. In the Indian context, it is noted that there is a difference between private and public banks in determining the mediation effect of reputation between service innovation and WOM.

The originality of the study is based on the following: development of a unique scale to measure service innovation in the banking industry overcoming the existing scales which are based on goods-dominant logic; estimating empirically the combined effect of service innovation and CR on WOM; the process of evaluating the moderated mediation effect; how the mediating effect of CR varies from private sector banks to public sector banks.

The study purports at investigating the effect of organizational factors (strategy, culture, information technology and structure) on knowledge transfer and innovation performance in the context of Indian International joint ventures (IJVs) of varied ages and industries. All the variables are woven together in the framework of dynamic capabilities theory.

PLS-SEM was used to analyze the primary data collected from IJVs. The disjoint two-stage approach was applied to check the mediation in the model. The multigroup technique was deployed to test group-differences in the sample.

The four organizational factors, combined as a construct, are seen to have a positive impact on knowledge transfer, which facilitates innovation performance. But mediation analysis revealed the insignificant indirect relationship of organizational factors with innovation through knowledge transfer for the total sample. In-depth group analysis revealed that these results differ between young and mature IJVs and knowledge-intensive and non-knowledge intensive industries.

The number of organizational factors is limited to four, which can be further increased. Longitudinal studies for investigating the formation of dynamic capabilities can be the future research direction.

The research has provided hierarchical analysis for organizational factors, knowledge transfer and innovation performance with multigroup industrial and age-wise analysis of Indian IJVs, which is still unplumbed in international business literature.

The development of Information Systems (IS) and Information and Communication Technologies (ICT) is offering new opportunities for businesses to implement promotion strategies focused on customer attraction and retention. In this sense, mobile coupon usage has increased as a promotion tool, especially in the fast-food sector. However, the use by consumers of these coupons is not homogeneous and it is conditioned by prior experience. Thus, this study aimed to examine variations between Fast Food Restaurant (FFR) customers based on their prior experiences with the use of mobile coupon (expert vs novice users).

A sample of 400 fast-food customers was collected using a structured questionnaire. In order to compare the proposed relationships between expert and novice users, a multigroup approach was applied through new, recently proposed evaluation procedures designed for PLS–SEM.

The results show that the two groups of consumers (expert vs novice users) have notable differences regarding the relationship between perceived ease of use and perceived usefulness. This relationship was the strongest in both groups. However, there are no differences found in other aspects considered as antecedents to mobile coupons usage, for instance, usage intention and attitude.

This work emphasises the importance of considering differences based on experience between mobile coupon users. Ease of use, perceived consumer utility and increased mobile coupons in apps can be the key to driving effective business strategies based on promotional tactics by FFRs. Likewise, this study can help other researchers in their empirical applications of PLS–SEM analysis.

This study is the first to provide an in-depth analysis of differences based on users' experience with mobile coupons at FFRs. It is innovative in its introduction of the consumer's coupon proneness variable.

As mobile augmented reality (AR) games enter the maturity stage, understanding how to improve players’ continuance use intention with mobile AR games is critical. Drawing upon the uses and gratifications (U&G) theory, the purpose of this paper is to investigate the effects of four major gratifications – content, process, social and technology – and other factors on continuance intention to play mobile AR games.

Data collected from 280 Pokémon Go players were used to address research questions. Partial least squares method was employed to assess the relationships in the model and multigroup analysis was conducted based on survey participants’ demographics and their gaming experience.

Content gratification (i.e. catching Pokémon), process gratification (i.e. entertainment), game knowledge and achievement drive players’ continuance use intention. However, social and technology gratifications do not influence players’ continuance use intention. Multigroup analysis suggests that mobile AR game developers should capitalize on the fact that different types of gratifications prompt continuance use intention of different user segments in terms of demographics and experience in general mobile games and Pokémon Go.

The user behavior of mobile AR games has been studied at the early stage of the games, with less attention to variable continuance use intentions across different user segments. This paper attempts to fill the gap by extending the U&G theory to continuance use intention of mobile AR games at the maturity stage and further investigating the importance of player heterogeneity in continuance use intention with mobile AR games. The findings of this study contribute to the literature on U&G, continuance use intention and mobile AR games.

The purpose of this paper is to examine the validity of community organisation as part of the systemic model. Based on the systemic model of community crime, it is perceived that community networks are negatively correlated with victimisation. The authors consider an alternative interpretation, suggesting that these conceptual relationships can run opposite to the directions shown in the systemic model. The crime rate itself may change residents’ perception of neighbouring behaviour and informal control.

This hypothesis is tested using a multigroup analysis of the community organisation across a sample of victims and non-victims in a Malaysian neighbourhood.

The authors find that property crime affects ethnic relations among the residents, where the non-victims perceived higher levels of ethnic relationships compared with the victims. The results show that configural and metric invariance are fully supported, while scalar and structural invariance were partially supported, suggesting that the items measured may be robust across cultures and that the factor loadings appeared to be equivalent across victims and non-victims. Non-victims perceived significantly higher informal control and closer ethnic relations than victims.

The paper provides a new direction of the systemic model, whereby victimisation could affect residents’ size of friendship networks and perception informal control.

The purpose of the current research was to examine the different relationships between individuals' sense of community in sport (SCS) cultivated by participating in local sport leagues, social support and health-related psychological outcomes (i.e. depressive symptoms and happiness) based on the participants' involvement level in the tennis league.

Using participants (n = 150) from local tennis leagues in the Southeastern region of the USA, the authors first conducted an instrument validation procedure to assess the psychometric properties of the included measures, and second, the authors analyzed the proposed multigroup moderated-mediation structural model using component-based partial least squares structural equation modeling with SmartPLS 3 (Ringle et al., 2015).

The results provide adequate evidence of reliability and validity for both the included reflective and formative constructs. Further, the findings of the proposed moderated-mediation structural model indicated that SCS was positively and significantly associated with social support and happiness while negatively related with depressive symptoms. Social support only mediated the relationship between SCS and happiness. The multigroup analysis results showed significant differences in the relationship between social support and happiness between the least involved group and more involved groups.

The findings of this study indicated that SCS experienced through participation in local sport leagues can develop both the extent and quality of supportive social relationships with other engaging members. One conclusion from the findings is recognizing a need to develop interventions to enhance SCS, social support and health-related psychological outcomes through local sport league participation.