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This paper aims to model Muslim consumers' purchase behaviour that predicts the impacts of behavioural factors of spirituality, emotional value, image, trust and satisfaction on Halal-labelled food products. The model was used among Muslim consumers in Indonesia and France.

A survey was conducted among Indonesian and French Muslim consumers who had bought Halal-labelled food products. The model was examined using Partial Least Squares Structural Equation Modeling (PLS-SEM) with multi-group analysis (PLS-MGA) to test specific differences between sample groups.

All proposed hypotheses were accepted, except for the trust in purchasing behaviour. It was not significantly different in the two sample groups. The linkage from image to purchasing behaviour was not significantly related to the French sample group, and emotional value did not influence Halal-labelled food product purchase behaviour in the Indonesian sample group. The MGA results found a significant difference in spirituality, emotional value image and trust among Indonesian and French Muslim consumers.

The guarantee of Halal food through a Halal label can fulfil the spirituality of Muslim consumers in carrying out Allah’s (SWT) command to consume Halal food, creating a product image, trust, satisfaction and emotional value that encourages positive buying behaviour. The finding shows that Muslim spirituality has extended the Islamic marketing literature to predict Muslim consumer behaviour. The company can emphasise in advertisements that the Halal-certified logo reflects the quality of products.

To the best of the authors’ knowledge, this research is among the early study empirically confirming that spirituality and emotional value are critical domains to predict purchase behaviour between two different groups of Indonesian and French Muslim consumers.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122

The purpose of this study is to offer a conceptual model that bridges gaps in the current research by combining constructs from the health belief model (HBM) and theory of planned behaviour (TPB). Furthermore, the researchers applied the constructed model to analyse the determinants of workers’ intentions to use e-wallet payment options for business transactions rather than physical currency during the ongoing COVID-19 pandemic. Finally, the paper examines whether there are any significant variations in the usage intentions of Ghanaian workers in the formal and informal sectors.

The non-probability convenience sampling technique was used to compile the primary respondents among Ghanaian users of e-wallets. Based on constructs derived from the HBM and TPB, an online survey involving the use of a questionnaire was administered to collect quantitative data from 285 formal and informal sector workers in Ghana. Data collected was analysed using the partial least squares-structural equation modelling approach involving the measurement, structural model tests, hypothesis tests and multi-group analysis (MGA) tests.

This study reveals that workers’ attitudes, subjective norms and perceived susceptibility as the main determinants of intentions to use e-wallets, as the analysis of data lends support to hypotheses involving these constructs. Perceived behavioural control was however not supported by the data analysis as a determinant of workers’ intention. Finally, there were no significant differences between e-wallet usage intentions of formal and informal sector workers in Ghana.

Given the ongoing pandemic, the study recommends that governments of emerging economies should formulate policies that promote the use of e-wallets, to reduce the spread of COVID-19 and at the same time contribute to the quest for a cashless economy. However, the results of the study are only based on data collected from workers in Ghana. Therefore, practitioners should apply the recommendations with discretion and make modifications where necessary. The results of the study also provide evidence from the context of a developing country that can support future academic pursuits.

This study provides evidence that influences practitioners’ decisions and practices regarding the design and implementation of e-wallet services and innovations among workers in the formal and informal sectors of the economy.

This study provides useful business insights to user acquisition managers, marketing managers and business development managers during the formulation of policies, strategies and approaches for their mobile wallet subscriber base. Moreover, to the best of the authors’ knowledge, this study is one of the first to apply the constructs of the HBM (mainly applied in health research) to the study of workers’ intentions to use e-wallets. It, therefore, makes a significant contribution to the existing literature by examining the combined effects of the constructs of the HBM and the TPB on workers’ intention to use e-wallets.

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.

This study explains and predicts smartwatch adoption trends among non-users of smartwatches based on theories of the diffusion of innovation and inertia. It explores the impact of satisfaction with the status-quo with traditional wristwatches, on attitudes toward smartwatches and intentions to adopt the technology.

The study used PLS-SEM to conduct a multi-group analysis considering high (HSQS) and low (LSQS) status-quo satisfaction groups. The multi-group analysis followed the MICOM procedure, and the software SmartPLS three was used to analyse the data.

The results suggest that attitudes of the LSQS group were more strongly impacted by perceived ease of use and trialability. Their attitude toward innovation also had a stronger effect on their adoption intention. For the HSQS group, social influence more strongly impacted adoption intention; this group also perceived the disruption associated with an innovation as greater than the LSQS group. Analysis using PLS-Predict indicated that both models have considerable predictive power.

Most scholarship on this subject has taken a positive view of the diffusion and adoption of smartwatches. This study considers smartwatches from positive and inhibitory perspectives. In the context of smartwatches, this is the first scholarly attempt at comparing levels of resistance to innovation adoption to consumer satisfaction with the status quo.

This paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the moderating role of gender differences in e-recruitment adoption through the application of technology acceptance model (TAM) in India.

A convenience sampling technique was used to collect online data via GoogleDocs through various online channels such as social media, LinkedIn and email. The final data was collected from 364 final-year graduates and postgraduate students to confirm the impact of female and male differences, measurement invariance in composite models (MICOM) and multi-group analysis (MGA).

The results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) have a direct impact on attitude (AT), whereas PU influenced behavioral intentions (BI) of job-seekers, but PEOU did not. AT directly leads to the BI. The outcomes of mediation analysis show that AT partially mediates the relationships between PU to BI and PEOU to BI. Further, the findings of MICOM and MGA showed that gender significantly moderates all the relationships between the constructs except for the influence of AT on BI.

This study contributes to the current literature, revealing that the original TAM model is still pertinent and effective in prevailing periods in emerging markets. The significance of PEOU and PU on AT and BI implies that job-seekers will strongly adopt e-recruitment when it is user-friendly and assist them to accomplish their tasks easily and efficiently. Moreover, gender has a vital moderating influence in e-recruitment adoption. In the case of females, the effect of PEOU is stronger, and for males, PU has a substantial impact on adoption.

Developers and recruiters should provide significant information related to salary, location and job profile on e-recruitment to enhance the adoption rate of online recruitment. Further, the usefulness of e-recruitment systems was more significant for males compared to females, whereas female job-seekers prefer the e-recruitment system, which is easy to use and operate.

This research fills a gap in the literature by examining the essential factors affecting the BI of job-seekers as well as empirically testing the impact of gender differences to adopt TAM for e-recruitment – an under-explored subject in developing countries like India.

This study aims to examine the impact of information overload (referred to as the saddling effect in this study) of underlying contracts on the sales performance of the salesforce at takaful institutions with special reference to addressing the heterogeneous effect among distribution channels.

A total of 311 samples were collected from the sales professionals of the takaful industry in Malaysia using a purposive sampling technique and the empirical analysis was conducted with the measures of model fit and bootstrapping technique using partial least square structural equation modeling and multi-group analysis.

Empirical results indicate that the saddling effect of the underlying contracts is evident among salesforce and the magnitude of the impact was found to be heterogeneous between the groups of salesforces in different distribution channels.

Findings recommend respective authorities of takaful institutions to intensify capacity building for their salesforce, particularly in the area of shariah knowledge and nature of underlying Islamic contracts used in the takaful products. A significant heterogeneous effect between distribution channels suggests that the actions and policy formulations should be diverse between the salesforce at different distribution channels and higher attention should be catered for the salesforce at the direct selling channel.

The increased information expectation (i.e. underlying contract knowledge) on takaful salesforce and its impact on their sales performance have not been documented before. The increase in information may create a burdening effect or what is referred to in this study as the information or knowledge “saddling effect.” If a saddling effect is identified, this may be a formidable reason for the slowing growth of the takaful industry in the respective market. It is expected that the outcome of this study would assist not only to fill the gap in the literature of personnel selling in the takaful industry but also will assist the takaful institutions in formulating appropriate policies for tackling the issue of the saddling effect of underlying contracts.

The purpose of this study is to empirically examine the determinants of purchase intention of Halal vaccination and compare the results between Muslim consumers in Malaysia and Pakistan. It focuses on analyzing the influence of various factors on the purchase intention of Halal vaccination and determining whether the relationships are significantly different in the two Muslim-majority countries.

The study is based on the extended theory of planned behavior and self-congruity theory. The variable of religiosity was added with the three variables of the theory of planned behavior, i.e. attitude toward Halal vaccinations, subjective norms and perceived behavioral control. It shows the congruity between Muslim consumer and Islamic brands and proposes a wider range of determinants in the framework. The study’s sample size was 378, and the respondents were Muslim consumers in Malaysia and Pakistan. Purposive sampling technique was used to extract the sample from three cities in each country. Partial least square (PLS) was used to statistically analyze the data using PLS–structural equation modeling approach. The measurement model was analyzed, and invariance of the measurement model was established. Afterward, the hypotheses were tested, and multi-group analysis was performed through Henseler’s multi-group analysis (MGA) and Permutation test.

The results indicate a lack of significant relationships between the independent variables and the purchase intention of Halal vaccination except in the case of subjective norms. This construct has a significant but inverse relationship in the case of Pakistan’s Muslim consumers, which can be attributed to the presence of consumer skepticism regarding the issue of Halal vaccination. The MGA results reveal a statistically significant difference in the influence of religiosity on purchase intention between the two countries, depicting differences in the brand–self congruity perceptions of consumers in the two countries.

The sample size was relatively small due to the limited time duration.

The area of Halal vaccination has been given limited attention in academic literature. This study addresses this area that has limited research and is greatly attractive to a large number of brands targeting the Muslim consumer market. The results of the study can form a foundation for creating the branding strategy of this product category and assessing its demand in various Muslim markets.

The purpose of this paper is to provide an illustrated step-by-step guideline of the partial least squares factorial structural equation modeling (PLS FAC-SEM) approach. This approach allows researchers to assess whether and how model relationships vary as a function of an underlying factorial design, both in terms of the design factors in isolation (i.e. main effects) as well as their joint impact (i.e. interaction effects).

After an introduction of its building blocks as well as a comparison with related methods (i.e. n-way analysis of variance (ANOVA) and multi-group analysis (MGA)), a step-by-step guideline of the PLS FAC-SEM approach is presented. Each of the steps involved in the PLS FAC-SEM approach is illustrated using data from a customer value study.

On a methodological level, the key result of this research is the presentation of a generally applicable step-by-step guideline of the PLS FAC-SEM approach. On a context-specific level, the findings demonstrate how the predictive ability of several key customer value measurement methods depends on the type of offering (feel-think), the level of customer involvement (low-high), and their interaction (feel-think offerings×low-high involvement).

This is a first attempt to apply the factorial structural equation models (FAC-SEM) approach in a PLS-SEM context. Consistent with the general differences between PLS-SEM and covariance-based structural equation modeling (CB-SEM), the FAC-SEM approach, which was originally developed for CB-SEM, therefore becomes available for a larger amount of and different types of research situations.

This study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.

The study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.

The results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.

The study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.