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The main goal of this study is to employ unsupervised (lexicon-based) learning approaches to identify readers' emotional dimensions and thumbs-up empathy reactions to reviews of online travel agency apps based on appraisal and stimulus–organism–response (SOR) theories.

Using the Google Play Scraper, we gathered a total of 402,431 reviews from the Google Play Store for two travel agency apps, Tripadvisor and Booking.com. Following the filtering and cleaning of user reviews, we used lexicon-based unsupervised machine learning algorithms to investigate the associations between various emotional dimensions of reviews and review readers' thumbs-up reactions.

The study's findings reveal that the sentiment of different sorts of reviews has a substantial influence on review readers' emotional experiences, causing them to give the app a thumbs up review. Furthermore, readers' thumbs-up responses to the text reviews differed depending on the eight emotional aspects of the reviews.

The results of this research can be applied in the development of online travel agency apps. The findings suggest that app developers can enhance users' emotional experiences by considering the sentiment and emotional aspects of reviews in their design and implementation. Additionally, the results can be used by travel agencies to improve their online reputation and attract more customers by providing a positive user experience.

The findings of this research have the potential to have a significant impact on society by providing insights into the emotional experiences of users when they engage with online travel agency apps. The study highlights the importance of considering the emotional aspect of user reviews, which can help app developers to create more user-friendly and empathetic products.

The current study is the first to evaluate the impact of users' thumbs-up empathetic reactions on user evaluations of online travel agency applications using unsupervised (lexicon-based) learning methodologies.

Discusses five barriers to new product adoption by older people. Offers marketing solutions to these barriers: sell value, communicate through children, segment the elderly market, design intergenerational products, utilize relationship marketing and promote product trial. Concludes that marketing innovations to the elderly is different than for other age groups, with a requirement to focus specifically on need, not newness.

Despite the extensive stimulus–organism–response (SOR) literature, little attention has been paid to the role of marketing activity as a key environmental stimulus, and there is a dearth of research examining the interplay between emotions and cognition on consumer behaviour, as well as the sequential effects of emotions on cognition. To address these gaps, this study aims to develop a revised SOR model by incorporating Kahneman’s fast and slow thinking theory to investigate the impulse buying of affordable luxury fashion (ALF).

The authors use outlet stores at Bicester village (BV) in England as the research context for ALF shopping. Partial least squares structural equation modelling was used to analyse a survey sample of 633 consumers with a BV shopping experience.

The authors find that impulse buying of ALF arises from the interplay of emotional and cognitive factors, as well as a sequential and dual process involving in-store stimuli affecting on-site emotion and in-store browsing.

This study reveals that brand connection has a significant and negative influence on the relationship between on-site emotion and in-store browsing, advancing the SOR paradigm and reflecting the interactive effect of human emotion and reasoning on the impulse buying of ALF items.

Insights into consumers’ impulse buying offer practical implications for luxury brand management, specifically for ALF outlet retailers and store managers.

The results suggest a robust sequential effect of on-site emotion towards in-store browsing on impulse buying, providing updated empirical support for Kahneman’s theory of System 1 and System 2 thinking.

The primary objective of this investigation was to explore how employees’ utilization of social media for work-related purposes impacts their service innovation behavior, both directly and through the intermediary mechanisms of knowledge management and employees’ risk-taking.

In developing its conceptual framework, this study has drawn upon the stimulus-organism-response (SOR) theory. To test its hypotheses, this study has surveyed 241 financial analysts from ten Iranian financial companies and has employed variance-based structural equation modeling (specifically, PLS-SEM) with the assistance of “WarpPLS 8.0 software.”

The findings revealed that employees’ work-related use of social media positively influences their service innovation behavior using knowledge management, encompassing knowledge sharing and acquisition capability as well as employee risk-taking. However, this influence is not directly significant.

To the best of our knowledge, this study marks the first instance in which the effect of work-related use of social media on employee service innovation behavior directly and through the mediating roles of knowledge management and risk-taking has been investigated through the lens of the SOR paradigm, especially in the financial sector.

A cross-platform paradigm (computing model), which combines the graphical user interface of MATLAB and parallel Fortran programming, for fluid-film lubrication analysis is proposed. The purpose of this paper is to take the advantages of effective multithreaded computing of OpenMP and MATLAB’s user-friendly interface and real-time display capability.

A validation of computing performance of MATLAB and Fortran coding for solving two simple sliders by iterative solution methods is conducted. The online display of the particles’ search process is incorporated in the MATLAB coding, and the execution of the air foil bearing optimum design is conducted by using OpenMP multithreaded computing in the background. The optimization analysis is conducted by particle swarm optimization method for an air foil bearing design.

It is found that the MATLAB programs require prolonged execution times than those by using Fortran computing in iterative methods. The execution time of the air foil bearing optimum design is significantly minimized by using the OpenMP computing. As a result, the cross-platform paradigm can provide a useful graphical user interface. And very little code rewritting of the original numerical models is required, which is usually optimized for either serial or parallel computing.

Iterative methods are commonly applied in fluid-film lubrication analyses. In this study, iterative methods are used as the solution methods, which may not be an effective way to compute in the MATLAB’s setting.

In this study, a cross-platform paradigm consisting of a standalone MATLAB and Fortran codes is proposed. The approach combines the best of the two paradigms and each coding can be modified or maintained independently for different applications.

This study aims to provide a structured and comprehensive synthesis of studies of the art infusion phenomenon, which describes the influence of art on consumers’ perception and evaluation of a product with which that art is associated. Further, this study aims to identify the issues in the literature and suggest future research directions.

Publications relevant to the art infusion phenomenon until 2021 were identified through a systematic literature review. Subsequently, the 35 retrieved articles that met the selection criteria were evaluated using descriptive and content analyses.

This literature review brings to light the origin, significance, evolution and development of the art infusion phenomenon. This study highlights the catalogue of drivers of this phenomenon and illuminates the interrelationships among the factors through a conceptual model using the stimulus-organism-response (SOR) paradigm.

This study adds to the art infusion literature by synthesizing extant studies and presenting a comprehensive overview of the subject, thereby motivating its prorogation and becoming a single point of reference for scholars.

The art infusion phenomenon has become a dominant theoretical pillar in the fields of arts and branding. However, little effort has been made to systematically review research on the phenomenon and consolidate its findings. To address this gap, this study first identifies and categorizes the factors that influence the art infusion phenomenon using the SOR paradigm. This study then creates a conceptual model that elucidates the interrelationships among the key elements of the phenomenon.

This study aims to integrate the stimulus-organism-response (SOR) theory with Mair and Noboa’s (2006) model to evaluate the stimulating role of education-related stimuli (i.e. entrepreneurial education, curriculum and lecturer competency) and the moderation impact of perceived university support on students’ emotional and cognitive processes of social entrepreneurship.

A sample of 401 university students in Vietnam and a three-step analysis approach via SPSS 28.0 and AMOS 25.0 were used to test the hypothesized model.

This study revealed that while entrepreneurship education and lecturer competency are positively associated with psychological organisms, then in turn affect social entrepreneurial intention and behaviors, the curriculum seems to be less significant. Social entrepreneurial intention was positively affected by social entrepreneurial self-efficacy and perceived social support, but not significantly influenced by empathy or moral obligation. As expected, the higher the perceived university support, the stronger the relationship between social entrepreneurial intention and social start-up behavior.

The findings of this study can be valuable for educators, policymakers and practitioners to inspire students’ entrepreneurial activities.

This study contributes to the entrepreneurship literature by adopting SOR theory to investigate the importance of education-related stimuli, exploring the underlying mediation mechanism of emotional and cognitive organism and explaining the moderation role of perceived university support in the fostering of students’ social entrepreneurship.

The proliferation of the coronavirus disease (COVID-19) has threatened the service industry, especially the restaurant sector, requiring innovative ways to help restaurants overcome this challenge. Thus, based on the stimulus–organism–response (SOR) model, the purpose of this study is to examine the role of customers' perception of a restaurant's innovativeness (CPRI) in brand evangelism by mediating customer engagement (CE). Additionally, this study examines the moderating role of customer openness to experience.

A Web-based survey collected the primary data from 483 Egyptian customers. The data were analysed using the partial least squares structural equation modelling method based on WarpPLS.7 software.

According to the findings, CPRI, which acts as a stimulus in the SOR model, positively affects CE (organism) and brand evangelism (response). CE positively affects restaurant evangelism. Additionally, CE mediates the relationship between CPRI and evangelism. Openness to experience moderates the relationship between CPRI, engagement and brand evangelism.

This study addresses the gaps in understanding CE and brand evangelism within the context of restaurant innovation. This study assesses restaurant innovativeness scales of developing economies in multiple dimensions. Egyptian restaurant marketing managers should innovate products, services, experiences, and promotions to increase consumer engagement and feedback through technology.

This study investigates how Egyptian restaurants engage with and evangelise customers through innovation. This is one of the few studies that examine brand evangelism in a restaurant setting from the perspective of the SOR theory. Additionally, this study analyses CE as a mediator and openness to experience as a moderator.

This study investigated the travel intentions (TIs) of Chinese travelers and their utilization of virtual tourism technology during the Zero COVID-19 policy period by using a stimulus-organism-response (SOR) model. The study specifically examines the interplay between knowledge of policy, perception of risk, TI, usage of virtual tourism technology (UVTT) and the mediating role of personal values.

The data were collected from 333 Chinese travelers through an online questionnaire, and structural equation modeling (SEM) was employed to test the proposed hypotheses.

The study suggests that knowledge of policy and risk perception increase changes in personal values (PVs), which, in turn, affect Chinese travelers' TIs and the UVTT, with PVs playing a mediating role. Risk perception has a positive effect on the UVTT.

This study highlights the positive impact of tourism policy knowledge and risk awareness on individual values as a stimulus. Stakeholders need to implement industry-specific policies that are in line with scientific developments. Tourism managers should prioritize understanding the psychological reactions of tourists in crises and provide support to mitigate negative emotions. Anticipating changes in PVs is crucial, as instability affects tourists' behavior. The findings of the study also provide valuable insights for technology designers and underscore the substitutability of virtual technologies in improving the tourism experience.

This study is the first to examine the mediating role of PVs in the relationship between knowledge of policy, tourism risk perception (TRP), TI and the UVTT based on the SOR model. The insights gained from this analysis can assist policymakers and tourism managers in understanding the psychological changes of tourists, thereby facilitating the development of appropriate tourism planning.