Energy efficiency is one of the critical aspects, because the hotel sector has significant energy consumption and has an impact on environmental information. Energy efficiency helps reduce operational costs. By reducing excessive energy consumption, hotels can set a good example of responsible and sustainable business practices. It is important to understand the factors that affect energy efficiency. Some of the relevant factors are knowledge sharing, risk perception, and environmental information. This study aims to analyze the effect of knowledge sharing, risk perception, and environmental information factors on energy efficiency in the hospitality industry. The research method used in this study is a quantitative method with a survey approach. The number of samples used in this study were 176 hotel managers in Indonesia. Questionnaires were distributed to respondents using a Likert scale of 1 to 7. Data were analyzed using the Partial Least Square (PLS) method using SmartPLS software. The research results conclude that knowledge sharing, perceived risk, and environmental information have a significant influence on energy efficiency in the hospitality industry. Well-informed consumers tend to be more aware of the impact of their decisions and actions on environmental information, so they are more likely to choose hotels that adopt sustainable and energy efficient practices. In addition, the perception of risk also affects energy efficiency in the hospitality industry. Consumers who perceive risks associated with low sustainability or negative environmental information impacts are less likely to choose the hotel. Environmental information factors also play an important role in energy efficiency. Hotels that have an environment that supports and facilitates sustainable practices have the potential to achieve higher energy efficiency.

Advancement of banking and financial investment has led to the rapid expansion of services automation. The consistent increase of Artificial Intelligence (AI) usage in investment management implies the impending popularity of technology-based service. This study examined influencer endorsement and perceived security benefits as moderators to the relationship between perceived risk and financial AI services. Questionnaires were disseminated to 300 respondents who were customers with experience of using financial AI services in Jordan, and they were chosen through purposive sampling method. Structural equation modeling run using Smart-partial least squares (PLS 3.3.6) was employed in analyzing the data obtained from 220 completed questionnaires. The results show that perceived risk negatively affects financial AI services, while influencer endorsement and perceived security moderate the relationship between perceived risk and financial AI services. This study provides insight to companies on how to reduce perceived risk to encourage people to use business intelligence applications, as in the use of financial technology services.

Today, Coronavirus is a pandemic that has spread worldwide and causes many problems, including socio economic problems in society. Therefore, e-marketing has an essential function in acquiring new customers, generating leads, and generating revenue for your business by reaching customers interested in your products and services. A digital platform such as web marketing is online marketing to prospective leads and high-value consumers. Thus, the present study examined the usage of e-marketing as a model for buying decisions moderated by perceived risk during the covid-19 pandemic in Aceh Province, Indonesia. This quantitative study involved 325 respondents and was collected through a survey by filling out the questionnaires. Also, e-marketing is measured by perceived usefulness, perceived ease of use as exogenous variables. Therefore, perceived risk is a mediating variable, and the consumer buying decision is an endogenous variable. The data were analyzed using Structural Equation Modelling – Analysis of Moments Structure (SEM-AMOS). The results showed that e-marketing (perceived usefulness and ease of use) positively and significantly affects consumer buying decisions. This study also applied the Sobel test and indicated that perceived risk mediates perceived usefulness and ease toward consumer buying decisions. In conclusion, this study has successfully examined the relationship between e-marketing via perceived usefulness and perceived ease of use. Also, it proves that perceived risk plays a mediating role (partial mediator) in the relationship of perceived usefulness and ease of use on consumer buying decisions. This tested model has become a formulation, especially in marketing science, where it turns out that during the covid-19 pandemic, the buying decision model in the marketplace is a function of the perceived usefulness and perceived ease of use of consumers towards the marketplace, as well as the perceived risk of the marketplace as a partial mediator. So that marketplace manufacturers can drive consumer buying decisions by consumers by creating a strengthening of perceived usefulness and perceived ease of use for consumers, thereby affecting consumers' perceived risk and impacting their buying decisions.

This research empirically explored the factors influencing the continuous use of mobile Apps in Jordan. The research utilized the Theory of Planned Behavior, the Diffusion of Innovation Theory and the Social Cognitive Theory to build the conceptual foundation of the research model. Using a quantitative approach, the study utilized a questionnaire with a set of well-validated items for the purpose of collecting data. The study collected 524 usable surveys, and analyzed the data using structural equation modeling technique (PLS-SEM). Results indicated that the three constructs relevant to this study (perceived risk, mobile self-efficacy, and social influence) were significant in predicting a users' awareness and the continuous use of mobile Apps. Customer focus moderated the relationship between awareness and continuous intention. In addition, the findings also confirm that users’ awareness mediated the relationship between the three independent variables and the continuous use. The Detailed findings of this research are discussed, with conclusions and future research reported at the end.

The frightening COVID-19 has considerably affected global marketing and the behavior and attitudes of consumers worldwide. Equally, it has changed the lifestyle, and the patterns of purchasing and consumption of consumers in Jordan as evidenced by the reduced popularity of in-store purchases. Quantitative research methods were applied in examining the relationships among the primary variables of the study. Data was obtained from 300 completed questionnaires collected from Facebook users in Jordan. Data was analyzed via AMOS software version 21.0, and hypotheses were examined by applying Structural Equation Modelling. Results revealed that trust issues, perceived ease of use and fear of complexity had a positive effect on online shopping behavior. Also, the study showed that perceived risk negatively affected online shopping behavior. Increased confidence in an online site increases the regularity of online shopping, while decreased perceived risk increases online purchase decisions.

Herbal Products industry has experienced significant growth in product demand. Therefore, this study aims to identify the factors effecting the actual buying of Herbal Product. This study also examines the moderation effect of perceived risk on the relationship between product safety and intention. Mall intercept survey was used to collect data from six various states in Malaysia. The data is analyzed using Partial Least Squares (PLS) path modeling. The path coefficient results supported the direct influence of intention on actual buying. Similarly, the findings reveal that perceived risk moderate the relationship between product safety and buying intention.

Hotel industry plays important role on developing tourism industry and having better services in this industry always help increase market share. The proposed study of this paper considers the effects of four variables including collaboration with staff, collaboration with customers, collaboration with partners and business owners and finally mechanism of integration of knowledge on innovation on service. The population of this survey includes 259 hotels where we send our questionnaire to 179 and manage to collect 170 ones. Cronbach alpha for four variables including collaboration with staff, collaboration with customers, collaboration with partners and business owners and finally mechanism of integration of knowledge were calculated as 0.78, 0.865, 0.743 and 0.890, respectively. The proposed study uses structural equation modeling to study the relationship between independent variables and dependent variable and the effects of four variables are confirmed when the level of significance is five percent.

Home appliances are among basic requirements of anyone in the world and it is always important to find out about factors influencing this industry. Therefore, the purpose of this study is to provide a comprehensive model to detect major factors influencing on consumer purchasing intention. For this purpose, the proposed study designs a questionnaire and distributes it among 400 customers who have some experiences on purchasing home appliances in city of Tehran, Iran, recently. Cronbach alpha was calculated for all components of the survey and they were all well above the minimum acceptable level. We analyzed the data using structural equation modeling via LISREL and the results of this survey show that brand familiarity, brand trust, and perceived value have significant positive effects on consumers purchase intention.