Despite a plethora of research studies on service quality, in general, and electronic (e) service quality, in particular, studies often focus on either understating the dimensions of e-service quality or its direct relationship with other variables such as customer e-satisfaction, e-trust, and e-loyalty. This study developed a comprehensive theoretical model to examine both direct and indirect influence of e-service quality on the e-loyalty of hotel customers in their usage of online travel agencies (OTAs). The research examines the mediating effect of e-trust and e-satisfaction in the relationship between e-service quality and e-loyalty. The research adopted a quantitative approach through a questionnaire survey for data collection from hotel customers who adopt OTAs for choosing their hotel services. Data collected from the questionnaires were analyzed using structural equation modeling (SEM). The results confirmed all direct relationships among e-service quality, e-trust, e-satisfaction, and e-loyalty. However, the results did not confirm a mediating role of either e-trust or e-satisfaction in the relationship between e-service quality and e-loyalty. Nonetheless, the results interestingly showed that both variables (trust and e-satisfaction) have a mediating role in the relationship between e-service quality and e-loyalty. The results of this research have numerous implications for senior tourism marketers, as well as marketing scholars.

This study investigated the strengths of internal and external environmental challenges to the Green Innovation Strategy (GIS). This study tried, also, to observe GBIS’ predictive power of on Green Organizational Identity (GOI), Green Innovation (GI) and Green Creativity (GC). The researchers gathered the cross-sectional data from the top managers of Saudi Arabia’s manufacturing industries. We employed a Structural Equation Model (SEM) to obtain the outcomes to form the data. This study’s findings demonstrate that external pressures, such as Policy Pressure (PP) and Market Pressure (MP) and internal driving forces such as Innovation Resources (IR) and Innovation Capability (IC), have a positive and significant effect on GIS. This study’s findings demonstrate, also, that GIS has a positive and significant effect on GOI, GI and GC. Finally, this study’s findings show that GOI is a considerable predictor of GI and GC. This study’s findings provide the path for policymakers to formulate Environmental Regulations (ER) and laws regarding pressure and incentive regulations. Finally, and more particularly in the context of Gulf countries, this study’s findings contribute to the literature on green management, innovation and Environmental Management (EM).

Green electronic word-of-mouth (GeWOM) is a type of online communication that focuses on eco-friendly products and services. Understanding the determinants of GeWOM can help businesses develop effective strategies for promoting their environmentally friendly products and services. An integration of two main theoretical frameworks was used to analyse the determinants of GeWOM: the Ability, Motivation, and Opportunity (AMO) theory and the Theory of Planned Behaviour (TPB). The current study aims to examine the determinants of green electronic word-of-mouth (GeWOM) through the lens of both AMO and TPB theories. The study further examines the mediating role of tourists’ green purchase intentions in the above-mentioned relationships. The data were collected from a sample of 625 tourists in Saudi Arabia using a structured questionnaire and analysed using PLS-SEM. The results showed a significant positive influence of green AMO and green attitude on green purchase intention. Green ability and green attitude have a direct positive influence on GeWOM and indirect influence through green purchase intention. Furthermore, green motivation and opportunity failed to have a significant direct influence on GeWOM; however, they have indirect influence through green purchase intention. The findings have implications for tourism administrators and scholars, particularly in Saudi Arabia, about green tourism development.

An increase in ride-hailing services in the sharing economy can help to reduce the number of vehicles on the road, which will lead to a decrease in air pollution and noise pollution, an improvement in environmental conditions, a decrease in travel costs, and an increase in social benefits to travelers. Hence, there is a great need to examine the consumer’s intention toward usage of ride-hailing services in the sharing economy. The current study aims to examine the green consumption intention of eco-friendly services as an outcome of environmental responsibility and environmental knowledge. It also attempts to examine the serial mediation of green concern, value co-creation, and mediated moderation of social support as an explanatory mechanism of green consumption intention of eco-friendly services. The research design was cross-section and deductive. The respondents of the study were registered university students in Islamabad who were active consumers of major ride-hailing services in Pakistan, i.e., Uber, Careem, Uplift, InDriver, B4U Cabes, and SUVL. A total of 402 responses were gathered using purposive sampling. Partial Least Squares Structural Equation Modeling (PLS-SEM) in Smart PLS is used to evaluate the reliability of measurement instruments and the validity of the research model. The current study results showed that environmental responsibility and knowledge positively and significantly affect motivation to engage in green consumption. Furthermore, environmental concern and value co-creation partially mediate the proposed relationship. In addition, social support also moderates the association between green concern and value co-creation such that it strengthens the connection. The current research findings are an addition to the existing literature and have managerial applications with limitations preceded by future research directions.

In a fast-growing global economy, there is much debate in the socio-economic models about the sharing economy, which is a digital platform that benefits society and improves people’s quality of life. A significant benchmark of the sharing economy is that it enables individuals to monetize their assets that need to be used fully. This highlights an individual’s ability and perhaps their preference to either rent or borrow goods rather than own them. This study investigated Saudi Arabian students’ User Satisfaction (US) and their Re-Purchase Intentions (RPI) in the context of the sharing economy. We employed a deductive approach that utilized cross-sectional data collected through online sampling. The results were derived from 324 acceptable completed questionnaires. We used a Structural Equation Model (SEM) to confirm the positive and significant predictive power of Trust, Economic Benefits (EBs), Sharing Economy Philosophy (SEP), Service Quality and Net Benefits (NBs) on US and RPI. The results also demonstrated a positive and significant effect of concerns such as Lack of Trust (LoT) and Expected Effort (EE) on US. Finally, among Saudi Arabian students, US is a positive and significant predictor of RPI. In the context of a developing country such as Saudi Arabia, this study’s insights to the practical and theoretical spheres contribute to operational management and the literature about online digital learning.