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This paper aims to focus on testing the long-run relationship between fish production and two main variables, the foreign direct investment inflow and the marine trade balance in Oman, which is one of the Arab Gulf countries, during the period 1985-2016.

This study uses what known as the two-step Engle–Granger cointegration test to give evidence for the long-run relationship among the variables.

The results show that there are a negative long- and short-run relations between fish production and marine trade balance; moreover, any shocks will be corrected within two periods at the most. 

This study is one of few studies in using the econometric models to study the impact of fish production on marine trade balance and foreign direct investment.

Finding an efficient way for enhancing brand reputation by using social media among customers and business partners has long been the main purpose of every business. However, due to micro and macro changes in the business field, strategies to find a way to improve brand reputation with business partners and customers have altered from transaction marketing to newer approaches such as employing a social media platform. However, not all brands make use of social media to enhance their reputation. The present study uses Apple as an example of the one of the best known brands which does not benefit from social media platforms as to the degree expected.

Due to the rapid increase in global warming and environmental disasters, destination management and tourists' environmental awareness have increased. This increase in environmental awareness has led destinations to prioritize green practices that reduce environmental pollution. Moreover, in recent years, with the rapid development of technology, artificial intelligence technology has also been used in applications that reduce environmental pollution in destinations. This is because environmentally friendly products and services offered by destinations have started to have an impact on tourists' travel choices. Additionally, tourists' awareness and loyalty towards environmentally friendly destinations have started to increase, resulting in the formation of brand value for destinations. Therefore, green practices and AI technologies play a role in the formation of consumer-based destination green brand value.

The main focus is to provide a non-similar solution for the magnetohydrodynamic (MHD) flow of Casson fluid over a curved stretching surface through the novel technique of the artificial intelligence (AI)-based Lavenberg–Marquardt scheme of an artificial neural network (ANN). The effects of joule heating, viscous dissipation and non-linear thermal radiation are discussed in relation to the thermal behavior of Casson fluid.

The non-linear coupled boundary layer equations are transformed into a non-linear dimensionless Partial Differential Equation (PDE) by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ordinary differential equations (ODEs). The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.

The results indicate that the non-linear radiation parameter increases the fluid temperature. The Casson parameter reduces the fluid velocity as well as the temperature. The mean squared error (MSE), regression plot, error histogram, error analysis of skin friction, and local Nusselt number are presented. Furthermore, the regression values of skin friction and local Nusselt number are obtained as 0.99993 and 0.99997, respectively. The ANN predicted values of skin friction and the local Nusselt number show stability and convergence with high accuracy.

AI-based ANNs have not been applied to non-similar solutions of curved stretching surfaces with Casson fluid model, with viscous dissipation. Moreover, the authors of this study employed Levenberg–Marquardt supervised learning to investigate the non-similar solution of the MHD Casson fluid model over a curved stretching surface with non-linear thermal radiation and joule heating. The governing boundary layer equations are transformed into a non-linear, dimensionless PDE by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ODEs. The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.

This study aims to examine the impact of cultural values [power distance (PD), uncertainty avoidance (UC), individualism vs collectivism (IC) and time orientation] and users’ perceptions on the adoption of big data analytics (BDA) within the context of the United Arab Emirates (UAE) health-care sector. It uses the unified theory of acceptance and use of technology (UTAUT) model as its theoretical foundation.

A cross-sectional survey involving 256 health-care organization users in major hospitals across the UAE was conducted. Smart partial least squares (PLS) structural equation modeling was used to assess users’ behavioral intentions (BI) to use BDA in the health-care context.

Results indicate that performance expectancy, social influence, facilitating conditions and perceived trust significantly predicted respondents’ BI to use BDA. However, effort expectancy, perceived security and time orientation were found to have insignificant impacts on BI. Interestingly, the remaining cultural values (PD, UC and IC) did not significantly affect the relationship between social influence and BI in the context of BDA adoption in health care.

This study contributes to the literature by examining the role of cultural dimensions in BDA adoption within health-care organizations, particularly in the underrepresented UAE health-care context. Moreover, it extends the application of the UTAUT model to the BDA adoption in health care, providing insights into the factors affecting users’ BIs to use the technology.

This study aims to examine how the partnership between StubHub and MLB affected consumers' perceptions of StubHub. The case of StubHub and MLB was selected based on their partnership history and the reputation of StubHub.

A Qualtrics survey panel was used to collect the survey data. Structural equation modeling was used to analyze the relationships between sponsor congruence, brand equity and purchase intention.

Sponsor congruence plays a significant role in consumers' perceived quality of StubHub. Additionally, brand equity significantly influenced purchase intention. More specifically, brand loyalty was the strongest indicator of intent to purchase tickets from StubHub. Brand loyalty and perceived quality indirectly affected the relationship between sponsor congruence and consumers' purchase intentions of StubHub.

Sponsor congruence between secondary ticket markets and sport leagues can provide a competitive advantage, helping create revenue generation and leverage for partnerships. Perceived quality can help facilitate this relationship and increase revenue generation.

Young consumers are increasingly using online reviews and celebrity influence to make purchase decisions. The purpose of this study is to ascertain the influence of online customer reviews, celebrity influencer’s attractiveness, celebrity influencer’s credibility on female millennials’ purchase intention of beauty products.

To validate the research questions and hypotheses, data were obtained from young female consumers using an electronic self-administered survey questionnaire that was close ended. A total of 203 valid responses were obtained from which data were analysed by making use of structural equation modelling Mplus and the Statistical Package for the Social Sciences version 28.

The obtained results showed that the seven hypotheses of the study were positive. However, two hypotheses were negative, namely, celebrity influencer attractiveness did not have a significant influence on the attitude of consumers; and brand loyalty was not significantly correlating with young female consumers’ purchase intention of beauty products.

Given that millennials are known to be active users of social media and often consult online peer product reviews, marketers and practitioners of beauty industry should improve the effectiveness and usability of beauty influencers and online reviews to attract female millennial consumers.

This research contributes to understanding young female consumers’ attitudes towards purchasing beauty products, especially the combined influence of group influence (online reviews) and media influence (celebrity beauty influencers) on such attitudes.

The purpose of this paper is to examine the factors which will contribute to consumers’ purchase intention on skin care products. Four factors, namely, brand awareness, brand association, perceived quality and brand loyalty, were included in this study.

In total, 150 sets of self-administered questionnaires were distributed to students in a local private university in Melaka. Convenience sampling was used and data collected were analysed using SmartPLS to perform the measurement model and structural model.

Findings have showed that there are positive relationships between brand awareness, brand association, perceived quality and brand loyalty and consumers’ purchase intention towards skin care products. Furthermore, it is concluded that perceived quality is the most significant factor in influencing consumers’ purchase intention.

Firms are able to benefit from this study by formulating their brand management tactics referring to the findings to have competitive advantage over their competitors.

This study aims to explore the impact of the use of the WeChat Mini Program by luxury brands on consumers' fashion impulsive purchasing and brand loyalty.

The stimulus–organism–response (S–O–R) model is adapted to construct a model (i.e. stimulus: patron status, informativeness and entertainment; organism: perceived enjoyment and perceived usefulness; responses: impulse buying behavior and luxury brand loyalty). An online survey was conducted by 200 Chinese participants who experienced WeChat Mini Program and luxury brand purchase.

The results indicate that luxury consumption related factors, task-related factors and mood-related factors in WeChat Mini Program have positive effects on consumers' impulsive purchasing behavior through perceived enjoyment and perceived usefulness.

This study provides a new understanding about factors influencing consumers' behaviors and brand loyalty in WeChat Mini Program.

The mobile social platform has been considered as an advanced tool for advertising. As the most popular mobile social media used by over 1 bn monthly active Chinese users—WeChat, little research attention has been attracted by researchers. To stress the WeChat Mini Program's role in the S-commerce background can fill the gap between the literature of the utilization of new marketing tools in retailing, marketing and the whole fashion industry. In terms of marketing management, the paper conducted research that participated by new generation consumers and offers some practical managerial implications for brands, retailers and marketers to generate new business models and marketing strategies.

This paper aims to apply the concept of traditional branding constructs, i.e. brand image, brand perceived quality, brand satisfaction, brand trust and brand loyalty to a less explored field of halal brand products – halal brand image, halal brand perceived quality, halal brand satisfaction, halal brand trust and halal brand loyalty. Second, the present research is an effort to empirically validate the interrelationships among branding constructs such as brand image, brand perceived quality, brand satisfaction, brand trust and brand loyalty in a holistic framework to confirm whether these branding constructs also work for the halal brand in the same way to gauge Chinese Muslims consumers’ purchasing intentions.

This research used cross-sectional data from 481 Chinese Muslim students at 9 universities located in 3 cities of China through face-to-face and online survey methods. Data were collected from the consumers of halal milk brand. A theoretical model with the hypothesized relationships was tested with the help of the structural equation modelling procedure.

The results suggest that halal brand image has a significant and positive influence on the halal brand perceived quality, halal brand satisfaction, halal brand trust and halal brand loyalty. Similarly, the halal brand perceived quality, halal brand satisfaction, halal brand trust and halal brand loyalty significantly influence consumer halal brand purchase intention.

This study is conducted in the halal food sector of China and specific religious and migration contexts. Further investigations of the halal food purchasing behaviour of local Muslims, as well as international Muslim students in those Western countries which are famous destinations for international students for education, could yield varying results.

The outcomes achieved are helpful for commerce and government organizations for policy development to better meet the burgeoning demand for halal products by Chinese Muslims. These are also very helpful for producers and exporters who intend to penetrate the halal market in non-Muslim-dominant countries such as China.

Studies on understanding Muslim consumers’ purchasing behaviours in non-Muslim countries are limited. Given the fact, numbers of Muslims seem a smaller amount of China’s total population, but their total numbers are large compared with total numbers in many Muslim countries. Therefore, understanding their purchasing behaviours for halal products and influential determinants concerning such purchasing behaviours adds to the literature and helps the industry to better serve and capitalise on the growing market.