This research aims to analyze the relationship between digital marketing on quality service, digital marketing on sales performance, quality service on sales performance, and digital marketing on Sales performance through quality service. The research methodology is a quantitative method and divided into research design and research subjects, data collection methods, and analysis methods. The study is conducted on 125 small and medium (SMEs) in Banten, Indonesia in the digital region. The study uses primary data based on the results of distributing online questionnaires to 125 managers of SMEs in Banten who were selected by simple random sampling. The questionnaire was designed online, and each question/statement item was given five answer options, namely: strongly agree (SS) score 5, agree (S) score 4, neutral / doubt (N) score 3, disagree (TS) score 2, and strongly disagree (STS) score 1. The method for processing data is by using PLS and using SmartPLS version 3.0 software. Based on data analysis by SmartPLS, digital marketing has a significant effect on quality service, digital marketing has a significant effect on sales performance, quality service has a significant effect on sales performance, and digital marketing significantly affects sales performance through quality service in the digital era.

Technology-based education is the modern-day medium that is widely being used by teachers and their students to exchange information over applications based on Information and Communication Technology (ICT) such as Google Glass. There is still resistance shown by a few universities around the globe when it comes to shifting to the online mode of education. While few have shifted to Google Glass, others are yet to do so. We base this study to explore Google Glass Adoption in the Gulf area. We thought that introducing the teachers and students to all the pros that Google Glass presents on the table might get their attention in considering using it as the medium to exchange information in their respective institutes. This paper presents the structure of a framework depicting the association between TAM and other Influential factors. All in all, this investigation analyzes the incorporation of the Technology Acceptance Model (TAM) with the major features associated with the method such as instructing and learning facilitator, functionality, and trust and information privacy to improve correspondence among facilitators and students during the learning process. A total of 420 questionnaires were collected from various universities. The data that was gathered through the surveys was employed for the analysis of the research model using the Partial least squares-structural equation modeling (PLS-SEM) and machine learning models. The outcome showed that the factor of functionality and trust and privacy goes hand in hand with perceived usefulness and perceived ease of use associated with Google Glass. Both the Factors, Perceived usefulness and perceived ease of use have a significant impact on Google Glass adoption. This implies the significant impact of Perceived ease of use and Trust and privacy on the adoption of Google Glass The study also offers practical implications of outcomes for future research.

The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.

The development of the internet has influenced the development of the world economy. Various buying and selling transactions that previously could only be done face-to-face, have now developed into transactions via the internet known as e-business or e-commerce. The hotel room online booking system was created to make it easier for consumers to book rooms 24 hours a day. With the availability of the online booking feature, consumers can access hotel information in detail and more transparently, besides that, consumers can also see reviews which can be used as their consideration in choosing hotels and planning holidays. Traveloka's significant development as an Indonesian online travel agent unicorn plays an important role in accelerating the growth rate of the online travel ecosystem, especially for the domestic market. There are many factors that must be examined in finding information, placing orders, and purchasing online. Therefore, this research is focused on online booking behavior. This study aims to determine the influence between variables based on Theory of Planned Behavior, which consists of attitude toward the online booking behavior, subjective norm, perceived behavioral control, online booking intention and online booking behavior at Traveloka. Data was collected from 133 respondents of domestic tourists who have made online bookings at Traveloka. Data were analyzed using Partial Least Square (PLS) statistics with the Smart PLS 3.0 M3 program to determine the complexity of the relationship between latent variables and their indicators. The results of this study indicate that attitude toward the behavior and subjective norms have a positive and significant effect on online booking intention. Meanwhile, perceived behavioral control has no significant effect on online booking intention. Another finding is that online booking intention and perceived behavioral control are known to have a positive and significant effect on online booking behavior. Traveloka management and marketers are also expected to be able to use the results of this research to evaluate and take corrective action on aspects that are deemed inadequate and manage the ease of use of the application to increase online booking intentions through the Traveloka application.

This study aims to the rise in global economic integration is due to an expansion in volatility spillovers. Therefore, it is extraordinarily necessary to analyze the volatility spillovers for growing and developed international locations through the use of portfolio funding and danger management. This lookup investigates the Volatility Spillovers of Sharia Index on 6 ASEAN international locations all through the Covid-19 Pandemic the usage of the EGARCH model. Data have been received from 5 international locations with enormous volatility spillovers, particularly Indonesia, Malaysia, Singapore, Thailand, and Vietnam, to decide the reciprocal relationship of the inventory index in ASEAN as properly as the route of volatility movements. The result confirmed that this lookup is necessary for ASEAN traders besides for the Philippines. Furthermore, this lookup has sturdy sensible significance due to the fact the correct prediction of the volatility spillovers in worldwide fairness markets is quintessential for decreasing portfolio risk.

It is considered that determining the factors influencing the purchase intentions of customers in the field of social commerce by taking into account the cultural structures specific to each region can give highly valuable feedback to companies in the commercial field where competition has considerably increased. To this end, in the present study, it was aimed to propose and test out a structural model for the factors of social commerce constructs, social influence, habit and trust, which affect the purchase intentions of consumers. The study group of the research consisted of 447 Facebook users who live in North Cyprus. The scale form used as the data collection tool in the study consisted of 6 parts. In the first part of the scale, closed-ended questions were asked to determine the socio-demographic characteristics of the participants. The other parts of the scale consisted of 4 items about social commerce constructs, 4 items about habit, 3 items about social influence, 4 items about trust and 3 items about purchase intention. The reliability coefficients for the scales ranged between 0.79 and 0.92. These results indicated that the reliability coefficients were at the desired level. Socio-demographic variables were summarized using descriptive statistics, frequency and percentage distribution. First, normality test analyses were performed on the scales, and it was concluded that the data showed a normal distribution (kurtosis and skewness values varied between +2 / -2). Following the normality test, the measurement model was tested. Within the framework of a structural model proposed regarding the factors influencing the purchase intention of customers who shop through social commerce, it was concluded that habit, social influence and social commerce constructs had a significant effect on purchase intention. It was also concluded that habit and social commerce constructs significantly influenced purchase intention through trust.

In facing business competition in the manufacturing industry, it continues to adapt. Demands start from employees who are expected to continue to grow and leaders who are also changing. This is aimed at staying in business and also retaining the best employees by planning some changes in how to train and assign employees electronically as well as changing leadership styles to adapt to today's digital era. This study aims to determine the influence of E-learning, e-task and leadership style in the manufacturing industry in Indonesia. The data collection method in this study uses a questionnaire with 130 respondents. in this study using four variables, namely thirteen dimensions and twenty-six indicators. The analytical method used is descriptive analysis, and the test instrument uses SEM AMOS. The results showed that e-learning organization and e-task as well as leadership style had a significant and significant effect on Employee Engagement. the most factor great influence is the leadership style; This means that employees expect to get a new style in accordance with this digital era since there has been a change in the concept of employee engagement, where employees will feel they do not have a sense of engagement with the company if the attitude of the leader who is not sensitive to all aspects of changes in the effects of the digital era is caused by changes in employee behavior in this era where information is very easy to obtain for employees to know the conditions anywhere else that offers an advantage. compared to where they work now.

The aim of this research is to identify the main determinants of Kosovo outbound tourists influencing the use of e-services in the hospitality industry. To test hypotheses, we used Partial Least Squares Path Modeling (PLS-PM). Findings suggest that the intention of Kosovo outbound tourists to use e-services in the hospitality industry is influenced positively by performance expectancy, facilitating conditions, perceived value, and satisfaction with information quality. We found that expected effort and social influence have no impact on the intention to use e-services. The relationship between users’ behavioral intentions and satisfaction with the information provided and real use behavior is confirmed. The perceived value depends on cost-savings, enjoyment and convenience from the use of e-services in hospitality.

This study aims to investigate the factors that influence consumer satisfaction with e-grocery shopping. Moreover, it also delves into factors that motivate shoppers to buy groceries from online retailers rather than conventional stores. A primary survey was administered to collect data. Initially, 500 questionnaires were circulated to respondents. People who have ordered groceries from online sites were the expected respondents. In this study, convenience sampling was used, and data were analyzed using structural equation modeling (SEM). The findings affirmed the relationship between consumer satisfaction and perceived convenience, risk factors, perceived product quality, and time value. However, perceived value and value for the time have a little significant effect on consumer satisfaction. There have been relatively few academic studies that look at the variables that influence customer satisfaction when shopping for groceries online. Most of the studies look at the variables that influence consumer satisfaction in the life insurance and financial services industries. By analyzing the data from Delhi and the Nation Capital Region (NCR) of Delhi, this research aims to bridge this gap available in the literature.

The growth of digital technologies has changed the way of doing financial transactions. Even though the transaction value for financial technology in 2018 grew by 24%, the financial inclusion rate in Indonesia is still low, with 64% unbanked. The aim of the study was to analyze the factors of the growing digital technology that influence customer decisions in choosing financial technology services using customer knowledge as the intervening variable. The growing digital technology is measured using social networking, regulatory services, and financial service facilities variables. The sample of this research focused on the microsegment customers located in Java Island. Statistical data are analyzed using Algorithm PLS. Results show that customer decision in choosing financial technology services was strongly influenced by customer knowledge. Customer knowledge was formed from information gathered from the social network, the formal assurance by the government, the financial service facilities, and financial inclusivity. The study recommends a need to educate, promote, and provide adequate information to increase familiarity and literacy rate with regard to financial technology. The study also recommends an urgent clear government regulation to protect the interests of customers and industries.