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Need: The previous suggestion assists with administrative methodology. The contribution explores customer understandings in different industry and transaction texts. They include online education, video marketing, and entertainment analytics. The communication needs to be detailed to improve the system.

Purpose: The suggestion aims to improve the previous contribution by enhancing the user experience. The study increases the usage of video content. The recommendation brings better business to the video host.

Methodology: The work includes the machine learning algorithm to understand the user and improve the client’s experience. The recommendation uses the Apriori algorithm to map various attributes of the trainer and learners. The suggested work has three features. It focusses on video possessions, educator feelings, physical characteristics, and visible aesthetic characteristics. The study considers 1,200 different samples.

Findings: The work simulates using python. It improves efficiency by 29.5% compared to previous work.

Practical Implications: Machine learning has pitched in to understand diverse customers’ behaviour. Various features affecting the behaviour are collected and analysed by the system. The study intends to find an appropriate mapping between the attributes of the user and educator.

The purpose of this paper is the definition and the implementation of a simplified mathematical model to estimate the hazard and the risk related to the use of high‐pressurized hydrogen pipeline.

This study aims to investigate the effects of different hydrogen operations conditions and to tackle with different release or failure scenarios. Based on the combination of empirical relations and analytical models, this paper sets the basis for suitable models for consequence analysis in terms of estimating fire length and of predicting its thermal radiation. The results are compared either with experimental data available in the literature, thus by setting the same operations and failure conditions, or with other conventional gaseous fuel currently used.

The findings show that the release rate increasingly varies according to the supply pressure. Regarding the effect of the hole diameter, it hugely affects the amount of hydrogen escaping from the leak, up to a value of approximately 0.3 m, after which the release rate remains fixed at a maximum of 43 Kg/s. For failure consequences related to jet flame, the leak dimension has a strength impact on the flame length.

This paper represents a helpful engineering tool, to establish the safety requirements that are related to define adequate safety buffer zones for the hydrogen pipeline in order to ensure safety to people, as well the environment.

This research aims to explore the impact of augmented reality (AR), the digital technology that superimposes virtual elements in a real environment, on consumers in the context of experiential marketing. Specifically, this study proposes a research model based on the stimulus-organism-response model, which considers AR media characteristics as external stimuli, consumers’ value perceptions as the organisms, and purchase intentions as the responses. The research model was tested with 248 consumers using structural equation modelling. The results show that informativeness, ease of use, and telepresence have positive effects on consumers’ utilitarian value perception and that telepresence and interactivity have positive effects on hedonic value perception. Overall, this study contributes to the growing body of knowledge on AR and provides actionable insights for managers implementing digital transformation strategies and AR applications in marketing practices.

The purpose of this paper is to propose a new computational approach for parameter estimation in the Bayesian framework. A posteriori probability density functions are obtained using the polynomial chaos theory for propagating uncertainties through system dynamics. The new method has the advantage of being able to deal with large parametric uncertainties, non‐Gaussian probability densities and nonlinear dynamics.

The maximum likelihood estimates are obtained by minimizing a cost function derived from the Bayesian theorem. Direct stochastic collocation is used as a less computationally expensive alternative to the traditional Galerkin approach to propagate the uncertainties through the system in the polynomial chaos framework.

The new approach is explained and is applied to very simple mechanical systems in order to illustrate how the Bayesian cost function can be affected by the noise level in the measurements, by undersampling, non‐identifiablily of the system, non‐observability and by excitation signals that are not rich enough. When the system is non‐identifiable and an a priori knowledge of the parameter uncertainties is available, regularization techniques can still yield most likely values among the possible combinations of uncertain parameters resulting in the same time responses than the ones observed.

The polynomial chaos method has been shown to be considerably more efficient than Monte Carlo in the simulation of systems with a small number of uncertain parameters. This is believed to be the first time the polynomial chaos theory has been applied to Bayesian estimation.

The “off-price” retailing concept is defined as the presentation of limited inventories of products in a “disorganised” retail environment which provides an extra level of “challenge” to the shopping experience. Research has identified “off-price” shoppers as those who approach this challenging experience in a purposeful, task-driven way. This current research contributes new knowledge by testing the impact of antecedents (i.e. involvement) on the “off-price” shopper experience and the moderating role of national culture across two distinct cultural groups.

Data were collected via a self-completed, anonymous, online survey provided to a sample of Australian (n = 355) and Chinese (n = 400) shoppers who were identified as regularly shopping for fashion in “off-price” retail stores.

The research found that the consumer's level of involvement positively impacted their “off-price” shopping experience in terms of effort/mastery and pride. However, in contrast to current knowledge of East-Asian and Western cultural variances, limited moderation effects were identified. All national cultural dimensions interacted with product involvement in influencing consumer pride. Whilst product involvement decreased with pride in higher individualism, uncertainty avoidance, long-term orientation and indulgence cultures, these reversed in cultures with a lower score in these four dimensions.

This new research extends knowledge of “off-price” shopper behaviour by testing the levels of involvement and experience across two distinctly different cultures – East Asian and Western – and challenges existing knowledge of cultural variances. Further, the work extends the use of achievement goal theory as an approach to delineate these consumers from other cohorts.

Academic research and consumer polls often report strong consumer support for environmentally responsible products (ERPs), and yet the proportion of sales they account for is often comparatively small. The purpose of this paper is to address one of the purported reasons behind this “attitude-behaviour gap” by measuring the influence of six relatively untested factors on consumer attitudes towards environmentally responsible clothing (ERC).

This study employed a consumer household sample. It also used a quantitative survey approach to collect its data and structural equation modelling to analyse it.

Of the six factors, four were found to have a significant influence on consumer attitudes: altruism, status enhancement, perceived consumer effectiveness (PCE) and happiness.

Altruism, environmental concern, PCE and self-identity have consistently featured in other environmental contexts, but less so in the specific context of ERC. Happiness and status enhancement have yet to appear in any study relating to the purchase of ERPs.

The purpose of this paper is to investigate the relationship between subjective norms (SNs), attitude (ATT) and perceived behavioral control (PBC) in predicting intention to choose halal-labeled products. Additionally, this research is an attempt to address the moderating influence of religiosity (RG) on relationship between theory of planned behavior constructs and halal purchase intention.

The data were collected through a survey. To find the factors that affect purchase intentions of Pakistani consumers regarding halal purchase intention partial least squares (PLS) path modeling has been used in the study.

The results state that TBP constructs, i.e. (ATT and PBC) have significant and positive and influence over halal purchase intentions. However, SN did not have positive and significant influence over halal purchase intention. Furthermore, no moderation effect of RG could be found in this study. Findings suggest that RG has not moderated the relationship between TBP constructs and halal purchase intention.

This study has incorporated three antecedents of TBP. However, extended theory of planned behavior can also be tested to predict influence on consumer halal purchase intentions in Pakistan. Moreover, other variables, e.g. country of origin can also be added to examine the moderation effect on TBP constructs and halal purchase intention.

This research identifies the rationale behind internally perceived factors that influence purchasing halal product, it further adds to an understanding of content specific (halal products) purchase intention. The practical implications include the possible approaches that managers need to address while promoting Halal labels and this will influence marketing strategies in general and communications specifically.

Relying on importance–performance theory, this paper uses a distinctive statistical analysis instrument to investigate the importance and performance of crucial wine tasting room constructs and indicators with a purpose to make real and tangible recommendations for wine tasting room managers to improve the winery visit experience.

The surveys (N = 402) were conducted among 14 wineries in British Columbia, Canada. The data was analysed by using partial least squares structural equation modelling software SmartPLS with importance–performance functionality embedded in it.

The findings indicate the importance and performance of the service quality constructs, assurance, empathy, reliability, responsiveness, and tangibility and their respective indicator variables in importance–performance map analysis (IPMA). The responsiveness construct showed the highest need for improvement in terms of performance of exogenous service quality constructs in wine tasting rooms. Empathy, value for money and reliability constructs got “no change” recommendation and “tangibility” and “education” recommendation. The assurance construct was not significantly related to customer satisfaction and was not included in the IPMA analysis.

The approach provides an easy to use and visual tool for wineries to assess the importance and performance of the various service quality elements. The tool provides the management of wineries guidance for the identification of strategic areas of service quality improvement.

This investigation into consumer goods manufacturing companies in Vietnam seeks to discern if such constructs as corporate social responsibility (CSR) and ethics act as antecedents for brand performance with the mediating role of integrated performance measures.

A total of 387 responses reverted from self‐administered structured questionnaires despatched to 1,452 middle level managers were dissected via ANOVAs and structural equation modelling (SEM).

From the findings emerged the interconnections between ethics of justice and legal CSR/economic CSR. Ethics of care, on the other hand, tends to nourish ethical CSR, which in turn positively impact performance measurement integratedness. The findings also paved the path from performance measurement integratedness to high brand performance.

From the results of the study, the insight into the interconnection pattern of brand performance and its antecedents highlights the magnitude of CSR and ethics training program as well as the adoption of integrated performance metrics in optimizing brand performance in consumer goods manufacturers in the Vietnamese market.

Craft beer (CB) has gained prominence in the on-premise trade in the USA, which has become the world’s largest market for CB. Academically based research in the hospitality domain examining consumer behavioral psychology-based constructs in the situational consumption context of restaurants has, however, not kept pace with market reality. This study aims to examine how product involvement, knowledge, opinion leadership-seeking, risk perception, information processing and their interactions affect consumption of CB by consumers in the situational context of restaurants in the USA.

A national sample of 697 consumers from across the USA covering all categories of restaurants, including bars, pubs and brewpubs, informs the development of a structural equation model (SEM) of the motivational process to examine these effects. In the process, the authors validate latent construct measurement scales specific to CB consumption in the restaurant environment.

The results support main hypotheses confirming the existence of distinct motivational relationships, thus explicating the processes by which consumers’ CB product involvement, product knowledge, opinion leadership-seeking and risk perception are activated, influence one another and their subsequent information processing-related outcomes. The findings also confirm the unstable nature of the situational involvement construct, the stability of enduring involvement and the pivotal role of psychological risk on opinion leadership and opinion seeking as well as on other antecedents. As far as the interaction effects between the constructs are concerned, the authors confirm five mediating effects and one moderating effect.

Strategies should be developed by hospitality managers to identify consumers with higher enduring involvement with CB. Strategies should also be implemented that mitigate psychological, social and functional risk. The insights into the motivational relationships pertaining to CB consumption in restaurants should be integrated into drinks menu design and be considered in how service staff are trained.

This research provides nuanced insights from a motivational perspective of consumers in the situational context of restaurants from a holistic and consumer-centric behavioral psychology perspective providing deepened insights of focal behavioral psychology constructs and their roles in the hospitality domain.