2018 International Conference on E-business and Business Engineering (ICEBB 2018)
May 21-23, 2018, Chengdu, China
Prof. Luiz Moutinho
During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. In 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FYR of Macedonia.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 29 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia and Cyprus.
Between 1987 and 1989 he was the Director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was Director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004.
Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and co-editor of the Innovative Marketing Journal. He has another 4 Associate Editorships as well as being in the Editorial Boards of another 47 international academic journals. His areas of research interest encompass bio-marketing, neuroscience in marketing, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling consumer behaviour, futures research, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho’s academic research are related to modelling processes of consumer behaviour. Currently, he is Program Designer and Faculty Member at Neuroscience Ltd. (Neuroscience - Academic and Business Solutions).
He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic.
Professor Moutinho has over 150 articles published in refereed academic journals, 32 books and more than 10,800 academic citations, a h-index of 49 and an i10-index of 156 (by the end of 2017).
Speech Title: Grasping Some Facets of THE 4th INDUSTRIAL REVOLUTION... from Reality Mining, On-Demand Society, Motion/Wearable Sensors, Digital Darwinism, the ME Web and Surface Computing to the Mobile Arcade, Sensorconomy, Predictive Intelligence, Beneficial Intelligence and Humarithms...
Abstract: This presentation reflects many of the facets comprising the 4th Industrial Revolution. These incredible human and technological changes represent the huge exponential development in our society. Many new trends and strategic concepts will be explored, like on demand society, smart machines, predictive intelligence, beneficial intelligence, phygital, the ME Web, surface computing, signage technology, holographic displays, IP-based services, enabling technologies, active materials, sensorconomy, wearable sensors, biostamps or electronic tattoos, reality mining, humanrithms and artificial integrity.
Yixun Shi, Professor of Mathematical and Digital Sciences at the Bloomsburg University of Pennsylvania, USA. He earned his Ph.D. from the University of Iowa in USA, and has been a faculty at Bloomsburg University of Pennsylvania since 1992. His research areas include mathematical modeling and applications in finance and management, numerical optimization, applied statistics, and mathematical education. He is also serving as the editor-in-chief of two mathematics journals and one education journal.
Speech Title: Mathematical Models for Social Behavior in Mobile Commerce
Abstract: Rapid developments of mobile commerce have impacted the lives of all peoples. In this presentation, we discuss a few mathematical models for estimating social impacts and predicting social behavior of such developments on today’s society. In particular, we consider the impacts in the area of customer purchasing. Mathematical models for estimating those impacts are discussed, numerical procedures to apply these models are mentioned, and simulated data are used to illustrate the applications of these models
Su-Fen Yang is a Professor of the Statistics Department at the National Chengchi University in Taiwan. She received a Ph.D. in Statistics from the University of California, Riverside, CA, USA. She is the author of one book on Quality Management and of more than 150 articles published in international journals and conferences. Professor Yang has been a recipient of outstanding research from National Chengchi University and the Ministry of Science and Technology (MOST), Taiwan. She has served as the Department Head, the Quality Management Committee of the Ministry of Economic Affairs Bureau of Standards, Taiwan; Committee of Chinese Society for Quality; an Associate Editor for Journal of Quality and JCIIE. She has reviewed 150+ papers for many international journals. Her research interests are mainly in statistical process control, quality engineering, and probability models.
Process Dispersion Monitoring in Service Industry
The service systems are the fastest growing area in the global economy. The interest in service quality increased in the past twenty years. Monitoring service quality is an integral part of increasing customer satisfaction in service systems. Therefore, successfully monitoring service process quality has a critical importance to stability and profitability of service systems. A new statistical process control (SPC) tool has been proposed to monitor the process dispersion effectively. We explore the sampling properties of the new tool, measure its out-of-control dispersion detection performance and compare with existing SPC tools. Comparison results show that the proposed SPC tool always outperforms the existed SPC tools. We hence recommend employing the new SPC tool.
Speech Title: Process Dispersion Monitoring in Service Industry
Abstract: The service systems are the fastest growing area in the global economy. The interest in service quality increased in the past twenty years. Monitoring service quality is an integral part of increasing customer satisfaction in service systems. Therefore, successfully monitoring service process quality has a critical importance to stability and profitability of service systems. A new statistical process control (SPC) tool has been proposed to monitor the process dispersion effectively. We explore the sampling properties of the new tool, measure its out-of-control dispersion detection performance and compare with existing SPC tools. Comparison results show that the proposed SPC tool always outperforms the existed SPC tools. We hence recommend employing the new SPC tool.