Resource-Constrained Project Scheduling Problem (RCPSP) is considered as an important project scheduling problem. However, increasing dimensions of a project, whether in number of activities or resource availability, cause unused resources through the planning horizon. Such phenomena may increase makespan of a project and also decline resource-usage efficiency. To solve this problem, many methods have been proposed before. In this article, an effective backward-forward search method (BFSM) is proposed using Greedy algorithm that is employed as a part of a hybrid with a two-stage genetic algorithm (BFSM-GA). The proposed method is explained using some related examples from literature and the results are then compared with a forward serial programming method. In addition, the performance of the proposed method is measured using a mathematical metric. Our findings show that the proposed approach can provide schedules with good quality for both small and large scale problems.

The determinants of bring-your-own-device (BYOD) use protection intentions affecting BYOD usage protection behaviors were examined in this study. The determinants of employees’ behavioral intention to use and their actual protection behavior in protecting their devices BYOD environment were identified. Jordanian residents aged 18 and above, with mobile learning behavioral usage awareness, made up the study population. A survey questionnaire was used to obtain the data, while the proposed research model was tested using structural equation modeling (SEM). The results show positive impact of BYOD usage protection intention on mobile learning behavioral usage, while attitude showed insignificant impact on BODY usage protection intention. Subjective norms significantly affected BYOD usage protection intention, while information security awareness showed insignificant impact on BYOD usage protection intention.

Recent studies on e-feedback have answered many questions concerning the effectiveness of e-feedback in educational and non-educational sectors. They stated clearly that e-feedback is efficient and practical. From both teachers’ and students’ perspectives, e-feedback has influenced their learning and teaching environment effectively. It is a good technique to personalize the learning strategies. Based on the previous assumption, this study aims at exploring the effectiveness of e-feedback in an educational environment taking into consideration the TAM model and the external factors of trustworthiness and enjoyment. The data is collected by an online questionnaire that was distributed among a group of students. Facilitating communication among teachers and students. It helps in replacing the traditional feedback and assess the learning environment during the pandemic periods. The two constructs of perceived ease of use and perceived usefulness affect positively the intention to use the e-feedback and initiates this type of feedback as a prominent procedure to be used frequently in the learning environment. In addition, the perceived enjoyment and perceived trustworthiness increase the chance of using e-feedback. Recently, e-feedback is highly dominant among online platform users.

This analysis integrates the “technology acceptance model (TAM)” with the “use of gratifications theory (U&G)” to develop an embedded model that predicts the use and satisfaction of emotional icons called stickers through WhatsApp. The explanation for combining these two theories is that U&G offers accurate information and a thorough knowledge of use, while TAM theory has been firmly established in several technical implementations. A newly developed hybrid analysis procedure has been applied within this research. Using an artificial neural network (ANN), and the structural equation model (SEM) have been combined. The research also uses the importance-performance map analysis (IPMA) to present each factor’s performance as well as importance. The ANN and IPMA research have both indicated that for sticker use intention, a highly essential predictor is Socialization. An online questionnaire survey was developed to assess the recommended model. The intention to use stickers was significantly affected by “Socialization, Self Presentation, Enjoyment, Novelty, Unique Function, Perceived Ease of Use, and Perceived Usefulness”. The research's main achievement is the convergence of two separate theories into a single conceptualization to accurately calculate the TAM components when it comes to the usage of stickers in WhatsApp. Theoretically, the recommended model provides enough insight for aspects which affect the intention to use stickers with relevance to the socialization’s factors considering interpersonal aspects. Practically, the higher education decision-makers along with professionals would extract variables that are important as compared to others and policies would be developed accordingly. The deep ANN model competence has been analyzed within the research to decide upon the non-linear associations between variables of the theoretical model, methodologically.

Social networking sites are built to be user-friendly, easy to navigate, easily connect to new people, can be obtained for free, and make them open to everybody. This quantitative study was conducted to identify the influence of social media on sexual misconduct behavior among adolescents. A total of 191 secondary school students from the northern zone of Peninsular Malaysia were involved in this study by random sampling. Data were analyzed using SPSS-23. This study found that the use of social media among secondary school students is high, where the majority spend more than five hours a day. The purpose of dating among young Malays is more focused on discussing matters of love. The study also found that social media does not influence sexual misconduct, but a negative relationship exists between religiosity and sexual misconduct. The predictor of sexual misconduct purpose items contributes 30.6% (p < 0.01) of the variance change in religiosity. Also, sexual misconduct among males is much higher than in female adolescence. The more surprising finding is that there are samples of social media accounts for gays, and some Malay youth's interest in dating is meant to do evil or discuss sex. Therefore, social media users could partake in more risky sexual behaviors because of a larger peer network influencing their attitudes and social norms. The current findings are expected to signal parents, teachers, the community, and the Ministry of Education Malaysia to take proactive measures to address this issue.

Transforming from digitalization to digitization brings many new technologies to restructure our life and life routines. In today’s competitive world, internet infrastructures and banking industries are counted as integral components for online shopping and commercial transactions. As because, disclosure of online transactions has been allowed through internet media, that would enhance the availability of electronic payment systems. Further, this study aims to explore and investigate the relationship and impact of electronic payment methods on the sales growth with the mediating role of online shopping by targeting UAE banking Industry. This study followed the quantitative approach and a correlational design. The empirical data were collected through a survey designed on a 5-point Likert scale, 217 valid questionnaires were sent to all participants (i.e., top managers, middle managers and technicians) via emails. Different statistical analyses were performed in this study. The results of the study showed high internal consistency among the study variables as Cronbach’s Alpha values ranged from .873 to .855. Further, this study highlighted the significant relationship and direct impact between online shopping and sales growth. Meanwhile, indirect impact was confirmed by the results between online shopping and sales growth through e-payment. In this regard, results can help to identify the impact of e-payment on sales growth through online shopping and also provide advantage for this and many other similar organizational studies.

Digital divide, trust towards e-commerce system, and facilitating conditions as the factors impacting the use intention of the international trade center were examined in this study, through a survey carried out on 500 Jordanian students. The proposed conceptual model was empirically tested, and significant impact of trust and facilitating conditions on intention to use the international trade center was affirmed. Meanwhile, the digital divide did not impact the intention to use the international trade center. Being limited to the Jordanian context, the study findings may not be generalizable to other countries.

The purpose of this paper is to evaluate the differentials effects of the tax rate on transfer pricing activities in foreign direct investment enterprises in Vietnam. The study then suggests further research on the determinants over transfer pricing activities of these enterprises to have better solutions in dealing with transfer mispricing in Vietnam. A quantitative research method involving self-administered closed-ended questionnaires were extended to Managing Directors/Chief Executive Officers, Tax Managers/ Directors, Chief Finance Officers or Heads of Finance from foreign direct investment enterprises in Vietnam. Findings indicate a strong relationship between corporate tax rate differentials and the transfer pricing activities in foreign direct investment enterprises in Vietnam. The findings support Vietnamese policymakers, academic researchers, auditors, investors to have further study on the effect of the tax rate on transfer pricing activities of the enterprises. Nevertheless, tax officials and accounting representatives can have in-depth knowledge with regards to transfer pricing activities which the outcome of this study aspires as guidance for better understanding the aspects of transfer pricing while doing business in Vietnam.

Today, the use of technology has made education more enjoyable. Vocabulary retention becomes a challenging task for both teachers and learners. They may learn the vocabulary but may not retain it. Yet, the use of web-based games may assist them in maintaining words known for short and long-term retention. The current study was conducted to identify students' abilities in retaining words learned after they were assigned to play a web-based vocabulary learning game, namely OnVac. Both short and long-term retention were measured after they were required to play the game as a treatment. Also, the study investigated students' perceptions about the system operation of OnVac. The use of quantitative research design, particularly quasi-experimental research and survey showed gains in vocabulary retention among students for short and long-term retention. The study also found that OnVac can support vocabulary learning among students in their learning of the specialized vocabulary. In terms of the system operation, the participants reported that the tool could assist them in learning engineering and technology words as it was convenient to use. The study provided implications to the teaching pedagogy in that teachers need to be wise and analytical in developing the online game to assist learners in learning English specialized vocabulary.

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.