Quantitative Finance, Financial Economics, Statistical Models
Title: FinTech and Machine Learning in Financial Markets
FinTech is a 4th industrial revolution industry using digital technology to improve activities in finance, focusing on offering more accessible, and usually faster and cheaper services to businesses and consumers. Several key technology trends affecting FinTech are Machine Learning, Big Data Science, and Block Chains. Applications include e-commerce, e-payments, mobile banking, chatbots, robo-advisor, algorithmic trading, fraud detection, market intelligence, cybersecurity, and P2P transactions. Human digital interfaces include visual, audio, and identity recognition technologies. Block Chain technology for secured distributed ledger activities is leading to many manufacturing, funding, exchange trading, and supply chain applications. Besides the general trends, we will also discuss two of our recent research studies. One is on algorithmic trading to show how machine learning techniques can be employed in financial markets. The other is on text mining found in social media and in information media whereby machine learning and predictive analytics are applied to discover hidden information beyond accounting records in the area of patents and research innovations. The social impact of all these technological developments indicates a watershed period in the modern history of human civilizations.
Educational Technology, Research Method, Statistics in Education
Title: RETHINKING TECHNOLOGY LEADERSHIP AND TEACHERS' TECHNOLOGY INTEGRATION IN IR 4.0
This study aims to identify the influence of Principals' Technology Leadership on Teachers' Technology Integration in Malaysian secondary schools. This is a cross sectional survey where systematic random sampling was carried out to select 47 principals and 375 teachers from National Secondary Schools in the northern region of Kedah, Malaysia. Two questionnaires were used: Principals Technology Leadership Assessment (PTLA), which is based on the International Society for Technology in Education (ISTE)- Standards for Administrators (2014) was administered to principals, while the Learning with ICT: Measuring ICT Use in the Curriculum Instrument was administered to the teachers from the same schools as the principals. Descriptive analysis was carried out using SPSS Version 25 and SmartPLS was used for the purposes of making the inferential analysis. Although the findings showed that the levels of Technology Leadership; the five constructs of ISTE , and Teachers’ Technology Integration were at high levels but, there was no significant relationship between Principals' Technology Leadership and Teachers' Technology Integration in the selected schools in the northern region of Kedah. Principals' preparatory programmes should emphasize leadership based on technology to enhance integration of technology in classrooms. Further research on professional development for principals’is recommended.
Service and Product Quality Management ，Business Analytics， Digital Economy Strategy， Organization Performance Measurement Models
Title: Building a Competitive Business and Sustaining Business Growth
All successful businesses start with a good business model but as their success grows, many of these businesses could not sustain profitability in the long term. Many businesses could not sustain profitable growth in the long term because they do not have a good roadmap to strengthen their core capabilities and to build organizational resilience. This presentation will illustrate the roadmap for a business to build organizational resilience so as to sustain business growth and profitability.
The roadmap for sustainable business growth is based on business excellence framework used in many countries to evaluate the success of businesses. The business excellence framework requires businesses to excel in the following criteria; organizational leadership, long term strategy planning, customer focus, employee management and development, having effective operations for product/service, efficient information management, and ability to use relevant business and organization results to further improve its business.
How a firm can integrate these criteria into its business will be discussed in the presentation. For each criterion to excel on its own will not provide the synergistic effect that drives business excellence. To be effective in using the roadmap/framework, all the criteria have to be driven an overarching strategic direction. This presentation will discuss how this could be achieved.
human resource, employee turnover, behaviour nonlinear modelling
Title 1: From Pre-entry expectation to turnover intention: The social support change's moderating and organizational commitment's mediating effects among life insurance agents in Qingdao, China
This Understanding the relationships between pre-entry expectation and turnover intention among the life insurance agent in China, is the purpose of the study. Statistical environment R version 3.1.0 was employed for runing Partial least squares structural equation modelling (PLS-SEM) analysis. Compare to pre-entry expectation, perceived performance is more determinative of defining confirmation of expectation. Organizational commitment has more weight than post-entry satisfaction when employees making decision of staying. High composite reliability needs to be investigated whether caused by the characteristics of population or the poor content validity of the instrument. The paper applies expectation confirmation theory into human resource context.
Title 2: The mechanism between turnover intention and turnover action: A dynamic model's construction using Laplace transform
This conceptual paper explains the possibility of sorting Allen and Meyer organizational commitment measure into boost converter model and create a dynamic modelling, in order to simulate employees' turnover action. The study suggests input data into all six possible models and finding out the best fit model. Then discourse analysis of expert opinion and card sorting exercise will be deployed for result’s triangulation. Laplace transform is suggested for processing the equations. R and OpenModelica are the proposed tools for quantitative data analysis.
Finance, Economic development
Title: Towards Balanced Economic Growth and Development – An Alternative Approach
Economic development refers to the problems of developing countries. A significant amount of research in development economics assumes development is synonymous to growth. However, growth occurs in extremely imbalanced way with certain regions providing greater job opportunities and infrastructural facilities while rural regions are sorely lacking such facilities. For real development to occur, it is important to ensure that job opportunities and access to resources is more equitably spread across the society. Thought the governments in developing countries try address this problem, they face uphill task mainly because of lack of resources. In this paper, we come up with a model termed as Private Initiatives for Public Projects (PIPP) whereby development can occur through effective use of businesses who can contribute both monetary resources as well as physical resources. Application of this model would benefit both the governments and businesses through rapid balanced development and economic growth of developing countries.
Prof. Stuart Perrin, Xi'an Jiaotong-Liverpool University (XJTLU)，China
Transnational/Global Education, Academic Literacies, Identity and language choice
Title: XJTLU Entrepreneur College: a future model for university-business engagement today.
Xi'an Jiaotong-Liverpool University (XJTLU) Entrepreneur College (EC) has been created as a new model university/industry engagement to train future elites and leaders for emerging industries; and it is intended to be inspirational as a the future model of the University. Following a new philosophy of education, developed at the university and known as Syntegrative Education in response to the 4th Industrial Revolution, the EC integrates universities, businesses and industries in education to emphasize higher order thinking skills. Learning through doing, knowledge becomes generated based on personal experiences and environmental participation, allowing Syntegrative Education to deliver more industry elites and facilitate social development.
Traditional universities are built on and focus at the discipline level. Within the EC, disciplines have been replaced by industry themed schools, through equal partnership with well-known (established, new, and emerging) businesses both nationally and internationally; in specific fields identified jointly with local governmengt and XJTLU. These partnerships focus on future demand and key industry alignment to future development trends in areas such as: Internet of Things, Intelligent/Smart Manufacturing, Intelligent Robotics, Big Data, Entertainment, and Supply; with industry being the catalyst for new schools and degree programmes.
This paper will highlight how Syntegrative Education and the EC can have an impact on education models globally by discussing impact on:
-The future university and campus concept
-Development of lifelong learning opportunities through AI
-Development of work-based learning initiatives to meet future employment demand
-Flexibility of degree programme development