Information

Scope

Decision Economics is a growing field of research which has been given much attention by scholars in recent decades. The special session Decision Economics (DECON 2017) is a multidisciplinary international forum dedicated to advancing knowledge and improving instruction in economics, business, computer science, quantitative methods and related disciplines. To pursue this mission, DECON 2017 will facilitate the development and dissemination of knowledge in the diverse disciplines of the decision sciences in the tradition of Herbert A. Simon’s interdisciplinary heritage. Herbert A. Simon was - and still is - one of the most influential founding father of the multidisciplinary fields of decision sciences: his contributions range across administrative behavior and organization theory, management science and operation research, behavioral decision theory, cognitive psychology, and artificial intelligence.

Therefore, DECON 2017 focuses on theoretical, empirical and methodological investigations of socio-economic decisions made by several economic agents in a complex market economy, not entirely according to rational economic principles, but also in light of behavioral and cognitive factors, and bounded rationality. Such investigations can be methodologically focused on quantitative approaches, qualitative methods, or can take the form of insightful reviews and commentaries on best practices in social science research.

In the tradition of Herbert A. Simon’s interdisciplinary heritage, DECON 2017 dedicates itself to the interdisciplinary study of decision-making in the recognition that important decision-making takes place in a range of critical subject areas and research fields, including Economics, Finance, Information Systems, Small and International Business, Management, Operations, and Production. We are particularly interested in analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment.


Topics

The recent negative economic and financial events call for new and innovative studies mainly in economics, business and finance, involving different research fields such as the behavioral decision research. The combination of economics and decision sciences is a field of studies which proves to be useful and, thus, should be fostered to academicians and practitioners interested in the application of quantitative and behavioral methods to the problems of society. The special session focuses on interdisciplinary approaches to the study of economic analysis and policies within seven major areas. Hence, papers are invited for the following areas of special interest which include but are not limited to:


1) COMPLEXITY OF BEHAVIORAL DECISION PROCESSES

  • randomness, induction and algorithmic complexity
  • computability and algorithmic complexity in economics
  • genetic algorithm applications
  • computable and dynamical systems of bounded rationality
  • algorithmic information-theoretic approach to financial markets
  • design methodology and model generation for behavioral complexity

2) MICROFOUNDATIONS OF MACROECONOMICS

  • artificial intelligence
  • behavioral decision-making
  • experimental economics
  • cognitive economics
  • heuristic analysis
  • evolutionary data mining

3) MICRO-MACRO RELATIONSHIPS

  • emergence and self-organization
  • mean-field interaction
  • network formation and evolution
  • neural networks
  • social network analysis and metrics
  • evolutionary-economic synthesis
  • stochastic non-linear modelling
  • deterministic chaos modelling

4) COMPUTABILITY IN ECONOMICS

  • behavioral macro models
  • agent-based models
  • agent architectures
  • multi-agent interactions
  • simulation and emergent behaviour
  • socio-cognitive modelling
  • autonomous systems and autonomy-oriented computing
  • epistemology of simulation and computation

5) BUSINESS INTELLIGENCE ANALYTICS AND DECISION-MAKING

  • open data business intelligence
  • big data analytics
  • real-time stream analytics
  • semantic modeling and ontologies
  • business process re-engineering
  • business process mining and process discovery
  • social media analytics
  • structural change and economic dynamics

6) BOUNDED RATIONALITY AND SOCIO-ECONOMICS

  • cognitive dimensions of socio-economic behaviour
  • emotions and affect heuristics in economic decision-making
  • modelling multi-objective decision space
  • complex value learning and evaluation methods
  • decision-making process within economic organizations
  • cultural transmission mechanisms and social decision mechanisms
  • trust, value systems and bounded rationality

7) MANAGEMENT DECISION

  • uncertainty and entrepreneurial decision-making
  • qualitative research methodologies
  • business policy and strategic management
  • operations management and logistics research
  • management learning
  • business decision process
  • knowledge management applications

Committee

Organizing Committee

  • Edgardo Bucciarelli, economist, University of Chieti-Pescara, Italy
  • Shu-Heng Chen, economist, National Chengchi University, Taipei, Taiwan


Program Committee

  • Federica Alberti, economist, University of Portsmouth, United Kingdom
  • José Carlos R. Alcantud, mathematical economist, University of Salamanca, Spain
  • Barry Cooper, mathematical logician, University of Leeds, United Kingdom
  • Sameeksha Desai, economist, Indiana University, Bloomington, United States
  • Felix Freitag, computer scientist, Universitat Politècnica de Catalunya, Spain
  • Amin M. Khan, computer scientist, IST, University of Lisbon, Portugal
  • Jakob Kapeller, economist, Johannes Kepler University of Linz, Austria
  • Alan Kirman, economist, Aix-Marseille Université, France
  • Nadine Levratto, economist, Université Paris Ouest Nanterre La Défense, France
  • Nicola Mattoscio, economist, University of Chieti-Pescara, Italy
  • Elías Moreno, statistician, University of Granada, Spain
  • Giulio Occhini, computer scientist, Italian Association for Informatics and Automatic Calculation, Milan, Italy
  • Luigi Orsenigo, applied economist, IUSS, University of Pavia, Italy
  • Lionel Page, economist, Queensland University of Technology, Brisbane, Australia
  • Enrico Rubaltelli, cognitive psychologist, University of Padua, Italy
  • Anwar Shaikh, economist, The New School for Social Research, New York, United States
  • Pietro Terna, economist and computer scientist, University of Turin, Italy
  • Katsunori Yamada, economist, Osaka University, Japan
  • Stefano Zambelli, economist, University of Trento, Italy

Contact

Edgardo Bucciarelli, Ph.D.
Aggregate professor of economics
Department of Philosophical, Pedagogical and Economic-Quantitative Sciences
Section of Economics and Quantitative Methods
University of Chieti-Pescara

Viale Pindaro, n. 42 - 65127 - Pescara - Italy
Office phone: 39-085-453-7980
edgardo.bucciarelli@unich.it

Shu-Heng Chen, Ph.D.
Distinguished professor of economics
AI-ECON Research Center - Department of Economics
National Chengchi University

Taipei, Taiwan, 11623, R.O.C.
Office phone: 886-2-29387308
chchen@nccu.edu.tw