Keynote And Invited Talks
Damianos Sakas, Agricultural University of Athens, Greece
Description: This workshop is for the Keynote and Invited Talks of the International Conference on Business Intelligence and Modelling 2021
Organizational agility
Diego Monferrer Tirado, Universitat Jaume I, Spain
Description: In the intense and continuous debate to try to identify the factors that from the organizational disciplines can contribute to the competitiveness and successful evolution of companies the concept of “organizational agility” emerges as one of the main research priorities for the immediate future. Companies currently face a convulsive market context, subject to extreme conditions in terms of dynamicity, competitiveness and unpredictability. This supposes, not only having to face continuous changes with respect to the conditions of their business environment. It is also decisive in the internal evolution and transformation of companies at all levels: organizational, team, leadership and employee. Taking these conditions as a reference, which coincide in the need to provide the company with internal mechanisms and routines to develop innate flexibility, organizational agility is defined as the extent to which a company rapidly iterates between understanding its changeable environmental situation at any given time and execute rapid efficient and effective decisions to adapt to it.The literature in this field is embryonic and contains gaps associated mainly with these fields (but are not limited to):
Factors associated with agility at the organizational level:
• Marketing and information technology (MarTech).
• The organizational structure (flexible structures, cross-functional collaboration, cross-pollination of knowledge, etc.).
• Organizational capacities (dynamic capabilities linked to learning: “learn to learn”).
• Organizational culture (shared values, beliefs, and norms for agility: market orientation, collaboration, respect, empathy, promise keeping, openness, trust, innovation, etc.).
Factors associated with agility at the team level:
• Organizational characteristics of teams (diversity in team composition, team empowerment, incentive structures).
• Psychological factors related to the team (higher order identity and social cohesion).
Factors associated with agility at the leadership level:
• Competencies linked to constant experimentation, adaptability and refinement.
• The structural power for the mobilization and redirection of resources.
• The interdependencies between key executives for agility (“business functions – technologies” interface).
Factors associated with agility at the employee level:
• Marketing employees’ personality traits, their training, and their coping mechanisms to drive agility (knowledge and familiarity with technology tools; openness to new experiences; emotional, risk, and stress management in problem solving and decision making).
Factors associated with agility at the organizational level:
• Marketing and information technology (MarTech).
• The organizational structure (flexible structures, cross-functional collaboration, cross-pollination of knowledge, etc.).
• Organizational capacities (dynamic capabilities linked to learning: “learn to learn”).
• Organizational culture (shared values, beliefs, and norms for agility: market orientation, collaboration, respect, empathy, promise keeping, openness, trust, innovation, etc.).
Factors associated with agility at the team level:
• Organizational characteristics of teams (diversity in team composition, team empowerment, incentive structures).
• Psychological factors related to the team (higher order identity and social cohesion).
Factors associated with agility at the leadership level:
• Competencies linked to constant experimentation, adaptability and refinement.
• The structural power for the mobilization and redirection of resources.
• The interdependencies between key executives for agility (“business functions – technologies” interface).
Factors associated with agility at the employee level:
• Marketing employees’ personality traits, their training, and their coping mechanisms to drive agility (knowledge and familiarity with technology tools; openness to new experiences; emotional, risk, and stress management in problem solving and decision making).
Digital Marketing and Human behavior
Damianos Sakas, Agricultural University of Athens, Greece
Description: Digital Marketing science using simulation modeling methods, provides a powerful methodology for research on complex human behaviors. This Session aim to promote understanding of Digital Marketing methodology and to develop an appreciation of its potential contributions to human behavior by describing the nature of Digital Marketing special problems, as well as some uses of computational methods in management research.
Business Transformation
Konstadinos Kutsikos, Business School, University of the Aegean, Greece
Description: Driving business growth in a complicated and uncertain economic environment has been the goal for all businesses across the globe for the past few years. The ever evolving role and needs of customers can only add to this turmoil. For example, how do we design and execute one-to-one marketing activities in a world rocked by social media, where ‘one’ is really the influencer for an unknown group of people? Although the overarching goal is about exploring how internal and external marketing activities may influence (or be influenced by) business transformation activities, we welcome contributions from academics and practitioners that explore trends and developments in other fields that affect business transformation activities. Such fields include (but are not limited to): – Business strategy (e.g. real options strategic management) – Organizational development (e.g. networked organizations) – Leadership – Innovation management – Change management – Information management (e.g. enterprise interoperability)
Decision Support Systems (DSS) and Business Modelling
Dimitrios K. Nasiopoulos, Agricultural University of Athens, Greece
Description: Management Information Systems, Decision Support Systems and Simulation modeling provides a powerful methodology for advancing theory and research on complex behaviors and systems. This Session aim to promote understanding of simulation methodology and to develop an appreciation of its potential contributions to management theory by describing the nature of simulations, its attractions, and its special problems, as well as some uses of computational modeling in management research.
Culture And Communication In The Modern Cross-Cultural World
Dr Yulia Taratuhina, Sietar Russia, Higher School of Economics, Russian Federation
Dr Lubov Tsyganova, Sietar Russia, Higher School of Economics, Russian Federation
Dmitry Tkalenko, Sietar Russia, Higher School of Economics, Russian Federation
Description: In today’s changing world, understanding of communication through culture and culture through communication becomes an important factor in the development of society. Taking into account the static and dynamic parameters of culture and cultural practices, both of institutional nature and everyday life, we can imagine the culture as a communication and semiotic system at different levels of interaction. At present, taking into account the influence of globalization on personality and communities, the attention should be focused on the study of the ways of communicative processes (through art, language, media, discourse) that are used to construct dominant and non-dominant social identities (race, class, sex, gender) and how these identities are reproduced, acquired, challenged and / or appropriated by society
Time series analysis and intellectual forecasting models
Liliya A. Demidova
Description: We plan to discuss the modern approaches to time series analysis and forecasting using the methods and tools of artificial intelligence. The scope of session: Time series forecasting and Data Mining. Time series forecasting and machine learning. Time series forecasting and hybrid computational technologies. Time series forecasting and neural networks. Fuzzy time series and evolutionary modeling. Forecasting models based on the strictly binary trees. Forecasting models and multi-objective evolutionary optimization. Time series forecasting and engineering applications.
Modeling of Knowledge Dissemination and Implementation at the Collaborative Networks
Victor Romanov
Description: The problems that would be considered in the probable papers submitted may concern such question as: · The model of the production function including knowledge as an additional factor into Douglas-Cobb equation, · The knowledge market and knowledge interchange and application simulation in collaboration networks, · The knowledge marketing and propagation simulation for business model & service innovation, · Knowledge management for business transformation, · Knowledge buying, selling and sharing simulation at the network of geographically distributed economic agents, · Business models for digital society transformation, · Services model of knowledge management system for smart enterprise. · Network model for enterprises cooperation and collaboration, · Ontologies slice and merge for restructured enterprises.
High technologies and modern paradigms of simulation modeling
Natalia Lychkina, National Research University Higher School of Economics, Faculty of Business and Management, Russian Federation
Description: We plan to discuss high technologies and modern paradigms of simulation modeling (ABMS, DES, SD) and its wide application in business solutions and economical and social sciences. Simulation modeling is actively used in solutions for lean production, 3D models of digital manufacturing, business process reengineering, improving the supply chain management, transport systems, management consulting and dynamic models of transforming businesses, when the business answers by changes to the challenges occurring in the environment. Simulation modeling allows business to develop effective system solutions in various fields of its activities. Economic development of regions and countries, private sectors, strategic planning and working out scenarios of development create another area of application of simulation modeling of socio-economic processes with a developing economy and society, as well as analysis of social behavior, the emergence and evaluation of consequences of decisions in the broad areas of social life.
Core Workshop
Damianos Sakas, Agricultural University of Athens, Greece
Dimitrios Nasiopoulos, Agricultural University of Athens, Greece
Description: This Workshop contains all the submissions that have not been assigned in other specific Workshops. Upon the finalization of the Technical Program, submissions in the Core Workshop will be assigned to Presentation Slots according to their subject.