Educational institutions worldwide are using online learning to provide students with continued education during the COVID-19 pandemic. The main purpose of this paper was to ascertain how facilitating conditions, social media, and ease of use, affect students’ perception towards online learning. During this pandemic, secondary school students were required to participate in full-time online learning. This study included 350 students from three regions in Jordan as a sample, and the results generated from the survey data were analyzed. Policy implications were established in this study to provide guidance to government agencies and schools on how to improve the delivery of online learning. Prospective research paths for future online learning research were suggested as well.

In this study, we develop a three echelon supply chain model for items to determine the optimal reliability and production rate, which achieves the biggest total integrated profit for an imperfect manufacturing process. Here, we have taken a supplier, a manufacturer and a retailer in which supplier supplies raw materials to manufacturer, manufacturer produces perfect and imperfect quality items because practically it happens and manufacturer supplies perfect quality items to the retailers. In production system, production facility may shift from an in-control state to an out-of-control state at any random time. The basic assumption of classical economic manufacturing quantity model is that all manufacturing items are of perfect quality but the assumption is not true in practice. The proposed study is formulated assuming that a certain percent of total product is defective. This percentage also varies with production rate and production run time. The defective items are restored in original quality by reworked at some costs to maintain the quality of products in a competitive market. Finally, numerical example and its graphical representation are given to illustrate the proposed model. Sensitivity analysis is also provided to test feasibility of the model.

The purpose of this study was to analyze the relationship between E-Satisfaction, E-Word of Mouth and E-Trust on Repurchase Intention of Online Shop. The approach in the research used is a quantitative approach using PLS-SEM SmartPLS software as a data processing tool. In this study, the data collection technique was carried out using an online questionnaire which was distributed to 150 respondents’ consumers of online shops. Sampling system with snowball sampling method. Based on the results of hypothesis testing, it was found that this study found that satisfaction had a positive and insignificant effect on repurchase intention. This shows that the e-satisfaction of online shop consumers does not significantly affect the repurchase intention of these consumers towards e-commerce online shops. In addition, e-word of mouth has a positive and insignificant effect on repurchase intention. This shows that the higher the e-word of mouth perceived by e-commerce consumers, the less significant customers will repurchase online. E-trust has a positive and significant effect on repurchase intention. This shows that the higher the e-trust perceived by online shop e-commerce consumers, the more customers will repurchase online. The novelty of this research is the new correlation model of e-satisfaction, e-word of mouth and e-Trust on repurchase intention of online shops and the research can be a reference for further research to be applied in other places or countries.

Secure, convenient, and affordable payment instruments are one factor that drives up the development of the national economy. Having a good and stable national economic condition is the intention of every country. The usage of electronic payment instruments is proven to boost economic growth and advance financial inclusion. However, the usage of e-payment among generation Z in Indonesia is still relatively low. Of these, this study is written to analyze the factors influencing electronic payment used to be taken as a concern on evaluating the current level of the cashless society. The model to assess the influencing factors is adopted from UTAUT variables: performance expectancy, effort expectancy, and social influence, combined with two external variables: culture and perceived security. The questionnaire is distributed to 458 respondents, covering generation Z in Bandung City. A quantitative approach was used to assess the questionnaire result, examining the relationship between each factor and electronic payment usage. The results indicate three factors that significantly influence electronic payment usage among generation Z in Bandung City: performance expectancy, social influence, and culture.

5G is a revolutionary development in network technologies which is gradually becoming very common among people contributing significantly in different fields such as education, industry, agriculture, health, tourism and military. Currently, 5G is an outbreak change as opposed to the traditional service of the Internet since it offers better quality, ultra-fast connection, low-cost, reduced latency, energy saving, which makes its great impact even greater in people’s life. The present study examines various factors that have a significant impact on the Use of 5G in the Gulf area. The study extended the TAM (Technology Acceptance Model) to include factors such as Perceived Enjoyment, Perceived Resources and Perceived Skills Readiness. The present research has adopted a hybrid model that incorporates TAM determinants with other external factors which have a direct relation with 5G as internet service. Previous studies have focused on the importance of 5G in different environments and countries. However, this study focuses on the newly spread Use of 5G in the gulf area by adopting a hybrid conceptual model. The findings suggest that 5G may help in promoting the usage of internet service more effectively with its low-cost, faster data transfer and better quality. Moreover, the findings indicate a positive effect of the gender as a mediator between the variables: Perceived Skills Readiness, Perceived Ease of use, and Perceived Resources.

Marketing strategies and proper inventory replenishment policies are often incorporated by enterprises to stimulate demand and maximize profit. The aim of this paper is to represent an integrated model for dynamic pricing and inventory control of deteriorating items. To reflect the dynamic characteristic of the problem, the selling price is defined as a time-dependent function of the initial selling price and the discount rate. In this regard, the price is exponentially discounted to compensate negative impact of the deterioration. The planning horizon is assumed to be infinite and the deterioration rate is time-dependent. In addition to price, the demand rate is dependent on advertisement as a powerful marketing tool. Several theoretical results and an iterative solution algorithm are developed to provide the optimal solution. Finally, to show validity of the model and illustrate the solution procedure, numerical results are presented.

This study aimed to determine the intention of ATM users in Jordan to use internet banking services by investigating the effect of web-related features on their intention to use internet banking. The study sample was randomly selected. The results indicated that the level of internet banking usage among employees who use the ATM service is still underutilized. Also, computer self-efficacy significantly mitigated the effect of perceived risk, website quality, and perceived benefit on customers' intent to use online banking but did not significantly mitigate the impact of perceived use and compatibility on customers' intent to use online banking. The results can be useful for commercial banks that have implemented online banking in all their applications or are planning to do so. The study also provides benefits to academic researchers interested in the topic researched, commercial banks, commercial bank customers.

Selection of robots from the several proposed alternatives is a very important and tedious task. Decision makers are not limited to one method and several methods have been proposed for solving this problem. This study presents Polygons Area Method (PAM) as a multi attribute decision making method for robot selection problem. In this method, the maximum polygons area obtained from the attributes of an alternative robot on the radar chart is introduced as a decision-making criterion. The results of this method are compared with other typical multiple attribute decision-making methods (SAW, WPM, TOPSIS, and VIKOR) by giving two examples. To find similarity in ranking given by different methods, Spearman’s rank correlation coefficients are obtained for different pairs of MADM methods. It was observed that the introduced method is in good agreement with other well-known MADM methods in the robot selection problem.

Emotional factors in the use of technology have the potential to be studied, since the important role of user engagement in the information technology development cycle, emotional plays a role in influencing the relationship between consumers and service providers. Previous research has examined various emotional factors of a person in operating digital services through online sites, but it is necessary to find an empirical correlation between emotional variables and one's intention to reuse (IR) online services. This study aims to determine whether users' emotions affect their decision to reuse Government to Citizen (G2C) online tourism services in Indonesia through the HEART Metrics approach. Furthermore, this quantitative study distributed questionnaires using simple random sampling to respondents who had used online tourism. Then analyse 260 research data using the SEM-PLS method by running Warp-PLS 5.0. The findings of this study are among the 5 HEART Metrics factors, 3 of which affect IR, namely Engagement, Retention, and Task Success, while Happiness and Adoption empirically have no significant effect on IR. Our results show that to gain consumer engagement with online services, service providers must consider the emotional elements of the users so that service reuse goals can be achieved. Furthermore, this research can be considered as an alternative recommendation for online tourism service providers, as well as the findings of a new model proposed to contribute to similar research in the future.