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ITER 2021

9th International Workshop (ITER 2021) Information Technology in Economic Research

Co-located with the 17th International Conference
on ICT in Education, Research, and Industrial Applications:
Integration, Harmonization, and Knowledge Transfer (ICTERI 2021)
September 28, 2021, Kherson – Ukraine
http://icteri.org/icteri-2023/workshops-calls-for-papers/iter-2021/

Proceedings: CEUR-WS, indexed by Scopus
Post-proceedings: Springer CCIS (acceptance pending), indexed by: Scopus, Web of Science, EI-Compendex, DBLP, Mathematical Reviews, SCImago,

ITER 2021 at a Glance

ITER is an annual peer-reviewed international workshop focusing on research advances, business/academic applications of information and communication technologies related to solving practical economic problems and advancing economic research. ITER puts its emphasis on real-world applications of ICT solutions in economics. Therefore, all contributors are strongly encouraged to demonstrate how and for what purpose the proposed solutions are to be used. Examples could be economic case studies involving new tools and/or methodological approaches, experimental studies with usable economic applications, or surveys revealing new IT applications and trends in economic research and practice.
ITER is designed to offer a meeting point for intensive scientific exchange among researchers and experts in emerging technologies from computer science, business computing and information system areas in emerging technologies interested in a focused look into IT in economic research related to the design, development, implementation, use and management of emerging technologies, real-world business applications and the move to a digital economy.
It is a bridge linking researchers from computer science, business computing and information system areas to real-world business applications for digital economics and digital industry organization. It is an opportunity to explore ideas, exchange thoughts and implement research projects between these diverse fields with a focus on application contexts like e-commerce, e-business, and e-governance.
The ITER 2021 program will include a panel discussion and presentations on completed work and works in progress. The workshop will last one full day.

No Fees

WS ITER does not charge any conference fee. Participation is FREE; meeting facilities and service expenses are covered by our sponsors.

History of Workshop ITER

The Scope of ITER

The use of computer programs in all sorts of economic simulations has become increasingly popular in the last few years, producing a wide variety of interesting applications, such as neural network forecasting in economics, digital business models for decision makers, different scenarios of decision making in evolutionary and simulation economics, impact of big data on sustainable economic development, intelligent manufacturing and information systems in digital economics, and quality assurance of ICT competences for economists in labor markets.
The workshop focuses on the interplay of two important themes: (1) the application of IT in business, economics, finance and research; (2) the economics of research and development in IT industries.
The goals of the workshop are: (1) to help economists use IT in economic research and practice, in particular for simulation and forecasting; (2) to improve and refine the use of IT in the context of digital economics. The workshop is particularly designed for researchers, PhD students, master’s students, industry practitioners and experts.
ITER 2021 invites papers on, but not strictly limited to, the following topics:

Fuzzy Logic and Neural Network Forecasting for Digital Economics and Digital Business Models: development of the theory and methodology of neural networks and fuzzy logic in economics, practical solutions for specific economic construction applications within economic and mathematical models, their program implementation, and experimental studies on their effectiveness, contributions on how humans represent and use incomplete and uncertain data and knowledge in decision making and preparation of economic strategies, neuromarketing ICT techniques, and machine learning techniques in business.
Digital advancements which can lead to the development of important applications such as digital currencies, blockchains; business model innovation which is capable of creating disruption in existing industries and driving the diffusion of new technologies, servitization with digital technologies, cloud-based architecture of enterprises, digital transformation of business models which lead to new ways of doing business, scalability of digital business models, and to new value chains. Use cases: blockchains for trade finance, supply chains, capital markets, general government services, the alliance between finance and digital technology which leads to the emergence of new actors in the field of digital financial intermediation. These new entrants seek to provide solutions by reinventing new distribution patterns, understanding new customer behaviors and developing new business models.

Data Science and Big Data in Evolutionary and Simulation Economics Under Sustainable Development: evolutionary dynamics and agent-based modeling in economics, simulation methods in experimental economics, replicator dynamics and simulation analysis for economic systems and digital ecosystems, innovations in evolutionary model of economics, time-series simulation through econometric packages, artificial agent-based analysis, evolutionary game theory and its applications in economics, business, finance and accounting, stability and bifurcation analysis of economic systems, online auctions and technologies, SME digital innovation and transformation.
Sustainable development in digital economics. Impact of big data on sustainable plans to ensure social equality and ecological stability. Data science techniques and numerical, mathematical and computer-based methods which allow the gaining of knowledge or insights from economics and business data in various forms, either structured or unstructured. Application of data science techniques in decision making problems with uncertain and incomplete information to support decision making in economics, finance and business, data analysis, data mining using datasets for intelligent/autonomous economic systems, robo-advisors; big data in microeconomics, foundations and trends in machine learning for economic forecasting, statistical analysis of economic behavior and datasets, clustering and classification of consumer types and segments of market in pricing and promotion of goods and services using IT tools.

Intelligent Manufacturing and Information Systems: collaborative manufacturing and management in the context of Industry 4.0, information management systems for manufacturing enterprises, flexible/digital manufacturing systems, automation and robotics, smart manufacturing and Industry 4.0 strategy, intelligent decision support systems and transportation systems, development of IT systems in which models take a central role for analysis of these systems, information system auditing, GIS based technologies for economic purposes, ERP and CRM systems, digital business platforms. The use of IT in algo-trading, portfolio analysis and asset management.

ICT Education for Economists: curriculum design and innovations, quality assurance and quality standards, e-CF and EQF standards, competencies and learning outcomes at national and international levels for ICT education in economic science; promotion of effective transfer of research results to the market, web applications for business goals and labor markets; gamification of study process, FinTech industry in education, cloud technologies for informatics learning in business, economics, finance and accounting, university-enterprise collaboration opportunities: promotion of knowledge transfer from university to industry in economic and business interactions. Quality assurance of IT-Education and its impact on the economy. ICT education and its role in economic prosperity of a society. Impact of IT education on the country’s growth. The connection between IT education and economic growth as well as new approaches of IT education in business and economics are in the focus.

Submission Instructions and Publication

The language of ITER is English. All submissions shall be annotated by the keywords/phrases freely chosen by the authors. At least three and at most five key phrases have to be provided.
All submissions must comply with the Springer CCIS format guidelines. Formatting instructions and template are provided for your convenience at the ICTERI 2021 web site: http://icteri.org/icteri-2023/formatting-instructions/
Submissions must be made in .pdf by using the EasyChair System (track ITER):
https://easychair.org/conferences/?conf=icteri2021.
Please submit your paper to the ITER 2021 Workshop Track.
1. Only papers written in English can be recommended, if accepted by the ITER PC, for publication in the ICTERI 2021 proceedings which will be published electronically at CEUR-WS (indexed by Scopus).
2. The best Workshop papers may be invited to be extended and published in special issues of Ukrainian journals. ITER traditionally cooperates with the Ukrainian journal: «Neuro-fuzzy modeling techniques in economics», indexed by Scopus (http://nfmte.com/).
3. The best Workshop papers may be invited to be extended and published in special issues of Central European Economic Journal (https://content.sciendo.com/view/journals/ceej/ceej-overview.xml).
4. The excellent Workshop papers written in English and selected by the ICTERI 2021 Steering Committee, among those presented at the conference, may be invited to be revised and extended for the ICTERI post-proceedings volume. The post-proceedings of ICTERI are traditionally published by Springer Communications in Computer and Information Science (CCIS) series (indexed by Scopus).

Evaluation and Presentation

Every submission will be evaluated by at least three members of the ITER Program Committee. Based on evaluation results, the best papers will be accepted for their presentation at the workshop and publication in the proceedings. Workshop organizers will withdraw the paper from the publication in CEUR-WS proceedings if the author(s) do not attend and present their papers on the workshop.

Program Committee of WS ITER 2021

Chairs

Vitaliy Kobets (vkobets@kse.org.ua), Kherson State University, Ukraine
Tetiana Paientko (tpayentko109@gmail.com), Kyiv National Economic University named after Vadym Hetman, Ukraine
Tommaso Federici (tfederici@unitus.it), Università degli Studi della Tuscia, Italy

Program Committee Members

Geography of 60 PC members: Georgia, Poland, USA, Italy, New Zealand, Lithuania, Malaysia, Slovakia, Pakistan, Ukraine, Albania, Germany, Czech Republic, Estonia, Bulgaria, India, Slovenija, Macedonia, Japan.

Givi Bedianashvili, Institute of Research of Economic and Social Problems of Globalization at European University, Georgia
Anna Agnieszka Białek-Jaworska, University of Warsaw, Poland
Lloyd P. Blenman, University of North Carolina-Charlotte, USA
Flavio Boccia, Parthenope University of Naples, Italy
Alessio Maria Braccini, Università degli Studi della Tuscia, Italy
Lesia Buiak, Ternopil National Economic University, Ukraine
Tom Coupé, University of Canterbury, New Zealand
Doriana D’addona, University of Naples Federico II, Italy
Lina Dagilienė, Kaunas University of Technology, Lithuania
Justyna Dobroszek, University of Lodz, Poland
G. Scott Erickson, Ithaca College, USA
Tommaso Federici, Università degli Studi della Tuscia, Italy
Javier F. Garcia, Humboldt International University, USA
Bartłomiej Gładysz, Politechnika Warszawska, Poland
Arkadiusz Gola, Lublin University of Technology, Poland
Jakub Krzysztof Grabski, Poznan University of Technology, Poland
Magdalena Graczyk-Kucharska, Poznan University of Technology, Poland
Rohail Hassan, Northern University of Malaysia, Malaysia.
Lidiia Hladchenko, Kyiv National Economic University named after Vadym Hetman, Ukraine
Alexander Hošovský, Technical University of Kosice, Slovakia
Touseef Hussain, Sukkur IBA University, Pakistan
John S. Johnson, Humboldt International University, USA
Kestutis Kapocius, Kaunas University of Technology, Lithuania
Ganna Kharlamova, Taras Shevchenko National University of Kyiv, Ukraine
Jurij Klapkiv, University of Lodz, Poland
Dmytro Klets, Kharkiv National Automobile and Highway University, Ukraine
Vitaliy Kobets, Kherson State University, Ukraine
Forcim Kola, “Marin Barleti” University, Albania
Joanna Krasodomska, Cracow University of Economics, Poland
Kamil Krot, Wrocław University of Science and Technology, Poland
Sergey Kryukov, Southern Federal University, Russian Federation
Kristina Kundelienė, Kaunas University of Technology, Lithuania
Bohdan Kyshakevych, Drohobych Ivan Franko State Pedagogical University, Ukraine
Olena Liashenko, Taras Shevchenko National University of Kyiv, Ukraine
Vira Liubchenko, Odessa National Polytechnic University, Ukraine
Malgorzata Macuda, Poznań University of Economics and Business, Poland
Zoriana Matsuk, Ivano-Frankivsk National Technical University of Oil and Gas, Ukraine
Andriy Matviychuk, Kyiv National Economic University named after Vadym Hetman, Ukraine
Jan-Hendrik Meier, Kiel University of Applied Sciences, Germany
Ihor Oleksiv, Lviv Polytechnic National University, Ukraine
Nataliya Osipova, Kherson State University, Ukraine
Tetiana Paientko, Kyiv National Economic University named after Vadym Hetman, Ukraine
Liubov Pankratova, National University of Life and Environmental Sciences of Ukraine, Ukraine
Boris Popesko, Tomas Bata University in Zlín, Czech Republic
Olha Prokopenko, Tallinn University of Technology, Estonia
Kateryna Proskura, University of the State Fiscal Service of Ukraine, Ukraine
Robert Rickards, German Police University, Germany
Maria Rosienkiewicz, Wroclaw University of Science and Technology, Poland
Jean-François Rougé, Sofia University of Technology, Bulgaria
Alfreda Sapkauskaite, Vilnius University, Lithuania
Mohsin R. Shaikh, University of Pune, India
Victor Selyutin, Southern Federal University, Russian Federation
Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine
Grigor Stambolov, Technical University of Sofia, Bulgaria
Olena Tymchenko, Kyiv National Economic University named after Vadym Hetman, Ukraine
Borut Werber, University of Maribor, Slovenija
Valeria Yatsenko, Taras Shevchenko National University of Kyiv, Ukraine
Jusuf Zeqiri, South East European University, Macedonia
Rong Zhang, Nishinippon Institute of Technology, Japan
Martin Sagayam, Karunya Institute of Technology and Sciences, India

Workshop Organizers

Vitaliy Kobets (vkobets@kse.org.ua), Kherson State University, Ukraine
Tetiana Paientko (tpayentko109@gmail.com), Kyiv National Economic University named after Vadym Hetman, Ukraine

How to Get to Kherson

Kherson is the regional capital city in the South of Ukraine. It is a nice and calm city with many nations living in one comfortable place. It is famous for its traditions of southern-Ukrainian hospitality. Kherson region is also known for its passion and effort in protecting and maintaining natural environment. The city and neighborhood offer abundant attractions for traditional and ecological tourism. Kherson is well connected to international air hubs through its local airport. (https://khe.aero/?lang=en). More details are available at the Conference Venue page at the ICTERI 2021 website: http://icteri.org/icteri-2023/conference-venue/.

Download First Call Leaflet

WS ITER_2021_CFP v.1.2.1

Important Dates

(23:59 Hawaii time)

  • Monday, 17.05.2021 31.05.2021 – submission of workshop papers
  • Monday, 28.06.2021 – acceptance notification for workshop papers
  • Monday, 28.08.2021 – submission of camera ready papers
  • Saturday, 28.08.2021 – registration deadline
  • Tuesday, 28.09.2021 – Workshop Day