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The purpose of this paper is to identify the factor structure of safety culture construct among engineering students at university context and to examine the measurement invariance of this instrument across different socio-demographic groups in a sample of engineering students in the United Arab Emirates (UAE).

An exploratory online questionnaire was completed by 770 undergraduate and postgraduate engineering students across the UAE. Data were analyzed using a diversified multi-group and a robust and sophisticated cross-validation testing strategy. Confirmatory factor analysis (CFA) was used to test factor structures identified in previous studies. Multi-group invariance testing was conducted to determine the extent to which factor structure is comparable across groups (i.e. gender, educational and experiential background).

Three-factor model was preferred for its parsimony. The results showed that the level of safety awareness and attitude is relatively satisfactory, whereas safety behaviour is inadequate. No significant difference was showed in multi-group invariance between demographic groups.

This research is a cross-sectional study and limited to the views of engineering students (informal group). The study would benefit from both informal and formal groups in assessing safety culture at university for a robust empirical evidence. The research highlights relevant implications for policy and program development, by pointing to the need to promote safety culture and mitigate safety-related accidents among engineering students.

This paper offers insight into benefit of understanding the level of safety culture among engineering students and extend knowledge of informal group involvement in safety-related accidents at university level.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

The New York Times has suggested replacing sustainable fashion with responsible fashion, emphasizing the need for joint efforts by both individual consumers and retailers to take responsibility for their own decisions and actions. This study seeks to investigate the mechanism that activates individuals' personal social responsibility (PSR) and its association with their perceived corporate social responsibility (CSR) from a responsible luxury fashion retailer.

An online experiment was conducted with a nationwide US sample of luxury consumers who were randomly assigned to either individuation or deindividuation groups. Covariance-based structural equation modeling (CB-SEM) and multi-group SEM were employed to test the hypotheses.

Individuals' universalism positively affected PSR, which then enhanced their recognition of a responsible luxury retailer’s CSR and led to a greater willingness to pay a premium. More importantly, the positive effect of universalism on PSR was strengthened when consumers’ unique individuality, rather than their deindividuated state, was emphasized. Moreover, the moderating effect of individuation was indirectly transmitted through PSR to perceived CSR, hence reinforcing the relationship between PSR and CSR.

This study significantly advances existing scholarship on sustainable luxury retailing and adds rigor to deindividuation theory by demonstrating the central role of PSR and the moderating effect of individuation in enhancing recognition of a luxury fashion retailer’s CSR commitments. The findings provide luxury fashion retailers with communication and marketing strategies that highlight consumers' unique individuality to more effectively activate their sense of personal responsibility and thereby increase their recognition of the retailer’s CSR.

The service industry is facing the huge impact of digital transformation, in which artificial intelligence (AI) plays one of the most important roles. This study aims to expand the understanding of the AI acceptance framework and confirm whether consumers’ digital skills have a moderating effect on the research model.

Hypotheses were tested using a data set of 1,641 individuals. Partial least squares structural equation modeling and multi-group analysis were used to estimate the model.

The results indicate that antecedent factors influence consumers’ willingness to use AI devices in services. The two groups of different digitally savvy respondents differ because the influence of anthropomorphism, social influence and hedonic motivation on respondents’ perceived efforts to use AI devices in service delivery depends on respondents’ digital skills.

The novel contribution of this study is reflected in a comprehensive model that explains the moderating effect of individual digital skills on willingness to use AI devices. The attitudes of experienced and digitally skilled consumers are valuable and highlight some important theoretical, practical implications and future lines of research.

This paper seeks to understand the interrelationships between destination attractiveness, satisfaction, attachment and visitors' loyalty and to determine the potential moderating effect of generational cohorts. Using expectancy disconfirmation and generational cohort theories, the paper explains how visitors' cognitive knowledge and motivation factors influence international visitors' attraction and maintenance and their behavioral/attitudinal loyalty.

Data were collected from 390 international visitors to South Africa during the Southern Hemisphere's summertime via a quantitative research method. A two-stage approach of structural equation modeling was used to analyze the hypothesized model.

There was no relationship between visitors' loyalty and destination image or destination image and destination trust. However, destination image has a significant effect on visitors' satisfaction. Additionally, visitors' experience had a positive effect on satisfaction and loyalty, while destination trust and destination attachment were positively related.

The findings show that the tourism sector could reap greater benefits from international tourists if a deeper understanding of different generational cohorts was obtained. There was a varying effect of destination marketing organizations' efforts on different generational cohorts' attraction, trust, satisfaction, feelings and expectations. This study proposes that direct marketing organizations should focus on building brand trust, as it is key to attracting different generational cohorts. Lastly, the study found that generational cohort segmentation accrues many benefits and creates and enhances superior advantages.

The paper provides evidence that more than a destination's attractiveness is required to achieve loyalty; segmenting and understanding different generational cohorts' cognitive, affective and motivation aids in generating better response actions to tourists' changing needs and meeting their demands.

Despite the significant interest from researchers and practitioners, the literature on project value measurement from the perspective of the customer is non-existent. This study aims to address this gap by developing and validating a scale to measure project value through a customer lens called the customer perception of project value scale.

A list of items was initially generated based on 762 sample responses through a systematic review of the literature and with the participation of specialists. Exploratory and confirmatory factorial analyses and structural equation modelling were used to develop and validate the scale.

The authors formulated a four-dimension scale. The dimensions used to measure the second-order construct are customer centrality, process, delivery and cost-benefit. This was validated using a nomological structure.

The non-consensual nature of what is value in projects restricts the results of this study to the context of a specific group of stakeholders only, that is, the consumers of the projects. The authors also see limitations in the absence of competing scales, which do not allow the comparison of the instrument with alternative measures.

This study allows project managers and other professionals to measure a project’s perceived value from the customer’s point of view and manage the improvement of this perception.

To the best of the authors’ knowledge, this is the first study to propose a scale to measure project value, which advances the literature on project management and value and contributes to academic knowledge and practice by measuring project value from the customer standpoint.

The purpose of this study is to test the effect of entrepreneurship education programs (EEPs) on the individual entrepreneurial orientation (IEO) by considering the innovativeness, proactiveness and risk-taking dimensions of undergraduate students and the role of these dimensions on the relationship between program inspiration (PI) and entrepreneurial intention (EI).

This study uses a pre- and post-test analysis with data from 1,423 undergraduate students from two emerging countries in Latin America: Colombia and Ecuador. To verify the effect of the EEP on innovativeness, proactiveness and risk-taking at two-time points, the analysis of median for the difference of two paired populations (Sign Test and the Wilcoxon signed-rank test) was used. In addition, structural equation modeling analysis under the covariance and multigroup approach was applied to test the relationship between PI, IEO and EI.

The results of this study show that the EEP enhances innovativeness, proactiveness and risk-taking whose effects are more prominent in Ecuadorian students. Equally importantly, the EEP benefits represented in PI translate into higher EI through the mediating effect of the IEO dimensions for both the Colombian and Ecuadorian contexts, where the findings suggest no significant differences between two groups.

The findings of this study contribute to a better understanding of entrepreneurship education's role in entrepreneurial competence's development and intention by revealing the role of IEO dimensions. This study is one of the first studies that applies the IEO to contribute to the literature on the relationship between entrepreneurship education and intention from an emotional entrepreneurial perspective.

Consumers consider retailers' standard private labels (PLs) as relevant choices, compared to national brands (NBs), and their demand for private label products has increased significantly over the past decade. At the same time, PLs have undergone a profound transformation as retailers have enhanced their quality. The goal of this research is to investigate the impact of claims used to highlight the enhanced quality of standard PL products on consumers' perceptions and behaviours.

A between-subjects experiment, set in a store laboratory, was used to study consumers' perceptions and behaviours. The impact of six non-nutrition claims – linked, according to the self-other trade-off, either to concern for consumers' health (internal to the self) or for the environment (external to the self) – on consumers' reactions has been studied. Then, the data collected were analysed with partial least squares structural equation modelling (PLS-SEM).

This research indicates that health claims retailers make to echo consumers' own concerns have positive impacts at three basic levels: the brand, the retail chain and the store. It also highlights the central role of trust in standard PLs, which, once activated by the non-nutrition claims made by retailers and the increase in the quality of standard PLs thus inferred by consumers, can improve consumers' attitude toward the food retailers' stores and reinforce their intentions to visit again and recommend them.

From a theoretical perspective, this research supplements cue utilisation theory as it applies this framework to standard PLs and establishes that consumers use extrinsic cues (i.e. communications on non-nutrition claims) to infer the quality of standard PL brand products. It also complements scant studies on retailers' corporate social responsibility (CSR) with quality aspects of their own labels as it specifies the levers (i.e. the claims) to use to improve retailers' CSR image and consumers' behaviours.

From a managerial perspective, this research highlights the superiority of retailers' claims related to consumer health and, more specifically, of claims highlighting the natural origin of ingredients. For this specific assertion, trust in the standard PL and the CSR image of the brand have direct and indirect impacts, via attitude toward the stores, on consumers' intentions to return to and to recommend these stores.

Despite the increasing importance of products as effective tools for communicating companies' CSR policies, scant research has been conducted on consumers' reactions to non-nutrition claims, which are increasingly prominent in the marketplace.

The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.

The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.

The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).

This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.

This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI).

The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items distributed to four factors: planning, instruction, management and assessment was used to collect the data. The Lavaan R package with confirmatory factor analysis (CFA) was used to evaluate measurement invariance (MI). Four models of CFA were investigated and assessed: the configural model, the metric model, the scalar model and the residual invariance model. ANOVA was used to test the differences in SET according to academic colleges.

MI analysis showed that the four levels of MI models are supported. ANOVA test showed that means of SET total scores are statistically different according to students' academic colleges. College of “Education” has the highest SET mean (88.64 out of 100), and all the differences between the College of Education’s SET mean and other colleges' SET means are statistically significant.

The study recommends that higher education institutions test the MI of SET according to academic colleges and then use colleges with the highest SET at the university level as internal benchmarking to develop and enhance their teaching practices.

This study is probably the only study that tested MI according to students' colleges before testing the differences between colleges in SET. If MI is not supported, then the comparisons between academic colleges are not applicable.