Bizexcellence

Mini Track Chair: Octavian-Dragomir JORA, Bucharest University of Economic Studies, Romania Egle RADVILE, Vilnius University Business School, Lithuania The exploration (aiming, inherently, at some kind of, at least, intellectual exploitation) of the future, as well as of the past, while differing on their basic ingredients – “visions” and “vestiges”, respectively –, shares a couple of adamant blemishes – our “incomplete information” and “bounded rationality”. We stubbornly compose mosaics (by means of imagination) about a past which we did not witness; and we, more or less superficially, extrapolate tendencies/trends (with a historical basis) for a future [...]

Minitrack Chair: Bistra Vassileva, University of Economics–Varna, Bulgaria The AI for Customer Analytics mini-track explores the rapidly evolving role of artificial intelligence in revolutionising customer insights and strategies. With AI at the forefront of data-driven decision-making, it is expected that participants will explore how machine learning, predictive modeling, and advanced analytics are reshaping customer interactions, personalisation, and market positioning. The central objective of this mini-track is to offer a comprehensive understanding of how AI-driven analytics can enhance customer lifetime value, optimise marketing efforts, and foster brand loyalty. This mini-track is ideal for professionals looking to harness [...]

Mini Track Chair: Vlad-Andrei Porumb, Alliance Manchester Business School (AMBS), UK Sînziana-Maria Rîndașu, The Bucharest University of Economic Studies, Romania In the current business environment, companies are leveraging technological advancements, digital transformations, and innovations to meet the expectations of their stakeholders and shareholders in terms of performance and sustainability. In this context, accounting activities are regarded as a fundamental aspect of any organisation, as they encompass vital data that is essential for the company's evolution and performance.The digitalisation of the business landscape, along with the expansion of technological advancements, is altering the traditional dynamics between [...]

Mini Track Chair: Anca Bogdan, The Bucharest University of Economic Studies, Romania In the current economic and geopolitical context, it is expected that the discussions within this session address the changes in the business environment - that is becoming more and more competitive, the need to adapt qualifications to the labor market and, last but not least, contribute to the adaptation of skills to the current needs of the labor market. Academics, business practitioners, research students and people working in the public administration and non-governmental sector are invited to submit papers on the topic Economics of [...]

Mini Track Chair: George Șerban Oprescu, The Bucharest University of Economic Studies, Romania Silvia Elena Iacob, The Bucharest University of Economic Studies, Romania Isabel Novo-Corti, University of A Coruña (UDC), Spain The consensus among studies is that AI will significantly impact the global economy. However, forecasts vary widely, with some estimating a doubling of growth in GDP and others predicting more modest increases driven by increased productivity, automation, and innovation. This positive outlook on AI's economic impact has led to a surge in investment in AI technologies. Nevertheless, despite significant investments, the economic returns on AI have [...]

Mini Track Chair: Florentina Constantin, The Bucharest University of Economic Studies, Romania Marko Jeločnik, Institute of Agricultural Economics from Belgrade, Serbia The post-pandemic period requires a reassessment of priorities and approaches for sustainable development. The COVID-19 pandemic has brought to the fore the vulnerabilities and inequities in our society and demonstrated the need for a more sustainable approach to health, economy and environment. In this context, technology and innovation have a crucial role in defining new horizons for sustainable development. Sustainable development, technology and innovation are interconnected in a complex way and offer significant opportunities for building [...]

Mini Track Chair: Adriana DAVIDESCU, The Bucharest University of Economic Studies, Romania Mihai GHEORGHE, The Bucharest University of Economic Studies, Romania Dumitru ROMAN, SINTEF AS, Norway The explosion of Big Data and the rapid advancements in AI have revolutionized how businesses process information and make decisions. Making swift conclusions based on observed patterns is tempting in such a data-rich environment. Still, the age-old challenge of differentiating between causation and correlation becomes even more critical. Without a clear understanding of causality, organizations might misinterpret data, leading to misinformed strategies and missed opportunities in innovation management. Conversely, [...]

Mini Track Chair: Stefan LESSMANN, Humboldt-Universität zu Berlin, Germany Roxana CLODNITCHI, Bucharest University of Economic Studies, Romania  Energy finance highlights the interdependency of energy and financial markets. While the traditional viewpoint of energy markets being a source of shocks in financial markets remains valid, the increasing financialization of energy products renders the linkage between those markets far more complex. Understanding these relationships and answering the crucial question of how to fuel world economies' hunger for energy while decreasing greenhouse gas emissions requires a new family of tools that turn the vast amounts of data in the energy [...]

Mini Track Chair: Wolfgang Karl HAERDLE, Humboldt University, Germany Dan Pele, Bucharest University of Economic Studies, Romania The main topics covered by the hereby call for papers are related to: TBD Prof. Wolfgang Karl HÄRDLEdid 1982 his Dr.rer. nat. in Mathematics at Universität Heidelberg and took his Habilitation at Universität Bonn in 1988. He is Ladislaus von Bortkieviecz chair professor of statistics, Humboldt-Universität zu Berlin. Moreover, he is director of the Sino German International Research Training Group IRTG1792 „High dimensional non stationary time series analysis“ (WISE, Xiamen University).His research focuses on dimension [...]

Mini Track Chair: Christian FIESELER, BI Norwegian Business School in Oslo, Norway Miruna MAZURENCU, Bucharest University of Economic Studies, Romania Mihai SACALĂ, Bucharest University of Economic Studies, Romania The diffusion of rapidly improving, powerful artificial intelligence (AI) technologies is rendering automated decision making an increasingly common component of organizational processes, in which employees, managers, clients and the public are more and more facing a reality where machines make ‘decisions’ that are implemented without always meaningful avenues for questioning and redress. While AI and its employment in organizations has made great progress over the last decade, [...]