This study aims to investigate the impact of social networking sites advertisements on consumer purchase decisions. It also seeks to examine how brand awareness mediates this primary effect. The data for this study was collected based on 360 followers from student's perspectives towards major apparel brands across Girne American University in North Cyprus. Data analysis was performed using structural equation modeling (SEM) in order to analyze the data collected. The study found that SNS advertisement had a significant impact on brand awareness, alongside consumer purchase decisions. Similarly, it found support for the mediating role of brand awareness. This research extends prior research by investigating the mediating effect of brand awareness between the SNS advertisements and purchase decision path. Finally, this study enriches social media marketing literature by providing evidence from North Cyprus.

This paper examines the determinants of technology transfer through international trade in Vietnam by using provincial level data. The paper investigates the similarities and differences between the adoption of technology from OECD and non-OECD countries. The empirical finding shows that the skills of labor force and openness to trade are the most robust determinants of technology adoption at the provincial level. Furthermore, provinces with higher levels of R&D expenditure adopt more technology from OECD countries than do other provinces.

This research is intended to systematize the theoretical background of chatbots and assess the factors affecting customer satisfaction when they use Facebook chatbot. The study provides an insightful analysis for planners and field workers who are involved in the promotion of Facebook chatbot for online stores in Vietnam. It suggests different recommendations and solutions for individuals and organizations providing chatbot services on Facebook platform, in order to improve service quality and operational efficiency. An analysis of 271 customers who used chatbot services pointed out and evaluated the positive and negative relationships around customer satisfaction.

This study focuses on investigating the relationship between tourist quality service, satisfaction and loyalty among international visitors who came to Vietnam. Specifically, this research also aims to discover the mediating effects of tourist satisfaction on the relationship between tourist quality service and loyalty (revisit and recommend to others). By using the data collected from 516 international visitors who travelled in Vietnam, authors use a meta-analytic path analysis to show that only two factors of tourist quality service had significant effects on tourist satisfaction and loyalty, including tangibles and responsiveness. Moreover, tangibles and responsiveness not only had direct effects, but they also they had some indirect impacts on tourist loyalty throughout tourist satisfaction. Interestingly, the relationship between tourist satisfaction and their loyalty was strongest.

The purpose of this paper is to understand how transfer pricing law affects transfer pricing decision making in foreign direct investment enterprises in Vietnam. The study also suggests further research on the determinants over transfer pricing decision making of these enterprises to have better solutions to deal with transfer mispricing in Vietnam. A quantitative research method involving self-administered closed ended questionnaires is extended to manage 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 probability of a relationship between transfer pricing law and the transfer pricing decision making of foreign direct investment enterprises in Vietnam. Therefore, there is a need for government to have specific law on transfer pricing. Good transfer pricing database is al-so expected; punishment should be reasonable; transfer pricing audit process should be stronger; transfer pricing trainings should be introduced more to the enterprises. It is be-lieved that the implementation of suitable transfer pricing law in Vietnam will assist the government better deal with transfer pricing abuse in foreign direct investment enterprises. The findings support Vietnamese policy makers to improve the law on transfer pricing. Nevertheless, tax officials and accounting representatives can have indepth knowledge with regard to transfer pricing decision making which the outcome of this study aspires as guidance for better understanding the aspects of transfer pricing decision making while doing business in Vietnam.

This paper presents a scheme of implementation of the protocol for diagnosing stakeholders of educational space, which aims to meet the needs and interests of both contractors and the university, and makes an efficiency assessment in achieving the goals of the university. The ranking of the social status of the stakeholders in the association is obtained, which demonstrates the importance of each stakeholder in the collaboration. The relationships between university and stakeholders, the degree of communication of stakeholders with each other, the attitude of each stakeholder towards the group of stakeholders as a whole and the total activity of group interaction based on the calculation of sociometric indicators are determined. Finally, the effectiveness of the level of involvement of stakeholders in the activities of the University is also proved.

Mobile payment is considered as a technology innovation which is being exploited and fur-ther expanded in both developed and developing or emerging countries. It is considered as an alternative method to cash payment method. This study is employed with the objective of exploring how Cambodian user behavior intention is affected by perceived transaction convenience, perceived transaction speed, social influences, and facilitating condition. Each fac-tor is measured by different items and there are 38 items developed in this study. The data is collected by distributing questionnaires to Cambodian users and 329 questionnaires are collected successfully.

Root cause failure analysis (RCFA) is a structured process to acknowledge cause and effect relationship of failure or unfavorable events in the organization in order to prevent repetition or reduction of failures. There are various tools for RCFA like interviewing, fault tree analysis (FTA), 5 whys, failure mode and effects analysis (FMEA), Pareto analysis and storytelling method with different strengths and weaknesses. In this paper, an integrated process model is developed using Reality Charting, FMEA and DEMATEL to understand and implement RCFA effectively. The proposed process model has eight main steps. The presented model in a case study for the UTD-20 engine is implemented and thus, in addition to the use of supporting research in model development, real data as well as the approval of the UTD-20 analysis team members are assisted to validate the proposed model.

With the inception of high-speed internet data services and ever-growing technical advancement in manufacturing technology, the integration of production systems and the internet of things to produce different types of jobs via cloud computing has become possible. The internet-enabled advanced automatic production systems can be referred to as the cyber-physical production systems (CPPS). The use of CPPS via cloud computing and the internet of things (IoT) can offer high productivity and high flexibility for the production of jobs in a dynamic production environment with varying specifications. The aim of this paper is to present a generalized synergic framework between different production facilities locating at different geographical locations to realize an energy-saving and efficient cyber-physical production system for the production of different types of jobs in the context of the industry 4.0 and beyond. In addition to the above, the study also identifies a need to address large scale multi-objective optimization issues to make the best decisions for different combinatorial production scenarios by using CPPS that are functioning in smart production facilities at different geographical locations.

Building Maintenance plays an important role throughout the building lifecycle from devis-ing conceptual plans to the end. Due to the high cost of building maintenance and the direct impact of maintenance effectiveness on the quality of life of building occupants, special attention must be devoted. One of the most important issues in this field is building maintenance contractor selection. This issue becomes even more critical in public buildings, such as hospitals, offices, and military centers. The purpose of this study is to present a method that can be used to select the contractor in such a way that the response robustness is high and the employed method is the most accurate one among other similar methods. To do this, the contractors are ranked by 7 multi-criteria decision-making methods. Then, the Spearman correlation coefficients are obtained for each pair of methods. When there is a significant difference between the outcomes of the methods, the output of each method is compared with the output of the Artificial Neural Network (ANN) model. The method with the least difference with the neural network output is taken as the superior method. After selecting the best method, a robustness analysis is performed on it to verify the stability of the answer. The proposed model is implemented on a real case study. Statistical analysis shows that the implementation of this method has increased the satisfaction of the residents.