A5032033450- Forecasting Techniques and Applications
- Conflict Management and Negotiation
- Knowledge Management and Sharing
- Team Dynamics and Performance
- Air Traffic Management and Optimization
- Innovation Diffusion and Forecasting
- Energy Load and Power Forecasting
- Aviation Industry Analysis and Trends
- Advanced Statistical Process Monitoring
- Economic Growth and Productivity
- Family Business Performance and Succession
- Technology Adoption and User Behaviour
- Financial Risk and Volatility Modeling
- Gender Diversity and Inequality
- Innovation and Knowledge Management
- Transportation Planning and Optimization
- ICT Impact and Policies
- Electric Power System Optimization
- Supply Chain and Inventory Management
- Collaboration in agile enterprises
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Capital Investment and Risk Analysis
- Business Strategy and Innovation
- Experimental Behavioral Economics Studies
University of Maryland, College Park
2021-2024
University College London
2014-2020
National University of Singapore
2006-2012
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...
Problem definition: Airports and airlines have been challenged to improve decision making by producing accurate forecasts in real time. We develop a two-phased predictive system that produces of transfer passenger flows at an airport. In the first phase, predicts distribution individual passengers’ connection times. second samples from times distributional for number passengers arriving immigration security areas. Academic/practical relevance: To our knowledge, this work is apply machine...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> As information and communications technology (ICT) involves both traditional capital knowledge capital, potential spillovers through various mechanisms can occur. Having tried to confirm the existence of ICT across country borders as Park <emphasis emphasistype="italic">et al</emphasis>. (<emphasis emphasistype="italic">Inf. Syst. Res.</emphasis>, vol. 18, pp. 86–102, 2007), we investigate...
Problem definition: We study the problem of forecasting an entire demand distribution for a new product before and after its launch. Firms need accurate distributional forecasts to make operational decisions about capacity, inventory, marketing expenditures. introduce unified, robust, interpretable approach producing these pre- postlaunch forecasts. Methodology/results: Our is inspired by Bayesian model averaging. Each candidate in our ensemble life-cycle fitted completed life cycle...
Improving airport collaborative decision making is at the heart of operations centers (APOCs) recently established in several major European airports. In this paper, we describe a project commissioned by Eurocontrol, organization charge safety and seamless flow air traffic. The project’s goal was to examine opportunities offered colocation real-time data sharing APOC London’s Heathrow airport, arguably most advanced its type Europe. We developed implemented pilot study data-sharing...
Electricity industries worldwide have been restructured in order to introduce competition. As a result, decision makers are exposed volatile electricity prices, which positively correlated with those of natural gas markets price-setting gas-fired power plants. Consequently, plants said enjoy “natural hedge.” We explore the properties such built-in hedge for plant via stochastic programming approach, enables characterisation uncertainty both and prices deriving optimal hedging generation...
Problem definition: Airports and airlines have been challenged to improve decision-making by producing accurate forecasts in real time. We develop a two-phased predictive system that produces of transfer passenger flows at an airport. In the first phase, predicts distribution individual passengers’ connection times. second samples from times distributional for number passengers arriving immigration security areas.Academic/Practical relevance: Our work is apply machine learning predicting...
We study the problem of forecasting an entire demand distribution for a new product before and after its launch. Firms need accurate distributional forecasts to make operational decisions about capacity, inventory marketing expenditures. introduce unified, robust, interpretable approach producing these pre- post-launch forecasts. Our is inspired by Bayesian model averaging. Each candidate in our ensemble life-cycle fitted completed life cycle comparable product. A pre-launch forecast with...
This article is an attempt to investigate the role of negotiation support systems (NSSs) in supporting inter-team negotiations, which have become commonplace for today’s business negotiations. Inter-team negotiations differ from simple dyadic and are associated with enormous complexity introduced by negotiating team dynamics. When there three or more members a team, coalition formation stands out as intriguing phenomenon, cultural diversity primary antecedent. NSSs through altering dynamics...
Improving airport collaborative decision making is at the heart of operations centers (APOCs), recently established in several major European airports. In this paper, we describe a project commissioned by Eurocontrol, organization charge safety and seamless flow air traffic. The project’s goal was to examine opportunities offered co-location real-time data sharing APOC London’s Heathrow airport, arguably most advanced its type Europe. We developed implemented pilot study decision-making...
We study the problem of forecasting a time series that evolves according to dynamically changing, skewed life cycle. For instance, firms often need accurate distributional forecasts product cycles make operational decisions about capacity and inventory management. These be made prior launch, updated frequently thereafter, generated at scale. Exponential smoothing models are commonly used in practice because they tractable, accurate, easy interpret. This work is first develop an exponential...
This paper investigates the potential role of negotiation support systems (NSS) in supporting multiparty negotiations. Multiparty is much more complex than dyadic and warrants separate investigation. Coalition widely acknowledged as a central aspect this complexity. It noted that coalition research are but distinct streams. Generally speaking, largely addresses issues distributive nature whereas emphasizes on integrative aspect. an attempt to examine dynamics negotiations potential. Our...