Olga Cherednichenko, Vladyslav Maliarenko, Judita Táncošová
et al.
The Decision Model and Notation (DMN) standard provides a unified framework for the representation of business decisions, with decision tables constituting its central construct. Despite the advantages offered by the manual creation of DMN decision tables from textual descriptions in terms of transparency and analysis, the process is time-consuming and prone to errors. This results in a discrepancy between the textual rules and the formal structures required for automation. The proposed framework integrates Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG), facilitating the automated conversion of natural language descriptions into decision tables. The framework utilises a modular pipeline comprising schema injection, retrieval of relevant domain-specific data, prompt composition, generation, and validation. This design guarantees that the resulting decision tables comply with DMN's rigorous XML-based specification while also capturing the contextual meaning of the original rules. A significant challenge in relying exclusively on LLMs is their proclivity to hallucinate or deviate from the required format. The integration of RAG has been demonstrated to mitigate these issues by grounding generation in reliable sources, enhancing both factual accuracy and structural consistency. The experimental results demonstrate that the LLM-RAG configuration significantly enhances the precision and robustness of generated DMN decision models, producing valid and contextually appropriate outputs with minimal human intervention. The advancement of automation in the field of decision modelling has the potential to enhance the efficiency, transparency and adaptability of decision-making processes. The findings indicate a pathway towards scalable, explainable, and verifiable decision automation across diverse business domains.
Background Digital twins are gaining ever-increasing attention from academies and industries to standardization bodies worldwide owing to their great capabilities and fundamental values in the coming fourth industrial revolution. However, there is no consistent set of definitions or concept system of the digital twin domain yet. Especially, the polysemy problem of the term “digital twin” is leading to ambiguities and an obstacle to standardization. Methods This paper summarizes the principles and guidelines of developing a concept system mentioned in two international standards, enriches them to a methodology of developing a concept system with (1) system thinking viewpoints and systems engineering methods, (2) procedures for analyzing the semantic relationships among candidate superordinate concepts, and (3) a three-dimensional taxonomy framework with procedures of developing a taxonomy, and proposed a maturity level model for terminology work. Results This paper analyzes the polysemy phenomenon of the term "digital twin”, identifies the necessity to differentiate digital twin entity and digital twin system from the general term “digital twin”, and proposes a disciplinary definition of "digital twin". After analyzing twenty-one definitions of digital twin and summarizing ten superordinate concepts from them, this paper proposes that a digital twin entity is a kind of digital asset not just a digital representation. Based on the new superordinate concept and definition of digital twin entity, a systematic digital twin concept system is developed with 210 concepts and fifty definitions. Conclusions This work resolves the polysemy problem of the term “digital twin” and demonstrates the effectiveness of the enhanced methodology of developing a concept system. The proposed digital twin concept system could be a benchmark for future digital twin terminology work and useful input to the development of digital twin system reference architecture standard and lays a solid foundation for future concept systems development of other domains.
The present research is dedicated to the good practices of using AI in the overall digitalization of higher education. The primary objective is to identify good practices used by the universities in implementing AI technologies in their everyday life for edu-cational and administrative needs. At the same time, our additional goal is to understand the expectations of students for further im-plementation of AI in universities. We developed our research in 2 main stages: the first one – the collection and identification of good practices of universities with AI and digitalization, and the second one – is devoted to students' expectations. We conducted 25 inter-views with representatives of 18 Bulgarian universities responsible for digitalization. The second stage was to provide a survey among students (n=254). Our findings reveal that digitalization is one of the leading priorities for universities; most universities have specific strategic documents for digitalization. Several challenges are outlined for smooth digitalization: lack of sufficient resources (including financial, administrative capacity, etc.); unwell-prepared infrastructure (including lack of shared vision for the different systems used so far within the university); the emergence of various types of resistance (both in academic and administrative staff) etc. The signifi-cant advantage for universities using AI is seen in the improved quality of the educational process (including the introduction of new educational perspectives through new technologies), improved administrative service, and enhanced public image, which reflects an increased number of potential candidates.
ABSTRACTThe literature on Responsible Innovation (RI) has not yet fully addressed the role played by social finance (SF) in supporting projects and organizations engaged in the production of innovations that tackle grand societal challenges. This study addresses this gap by empirically examining how SF investors select potential investees and the principles they judge important in SF. Our findings show that SF investors apply a combination of criteria to select investment projects where entrepreneurial motivations, environmental, social and governance commitments, and the nature of the impacts being generated align with their portfolio's mission. Though not all SF investors in our sample had knowledge about the concept of responsibility, they nonetheless mobilized a broad set of principles that are closely aligned with the aims and practices of RI. More research is needed to clarify the type of resources SF use to support RI and the conditions under which these resources are provided.
This study carried out the electrodeposition of nickel in used iron metallic materials, which was called cathode to verify the adequate conditions, these processes were carried out in the laboratories of the Faculty of Metallurgical Engineering of the Altiplano National University, the investigation sought find the parameters of temperature, humidity, pH to conditions of Puno department. Such data is different from the electrodeposition in the regions of the coast and the Peruvian jungle, for which the objective of verifying if the electrodeposition process will be able to satisfy the expected expectations in the coating of metals through the watt’s methodology was raised. The number of tests was constituted by the electrodeposition of 20 half-inch tubes previously subjected to a washing process and prepared for their electrolytic bath, in a number of four units every 10 minutes. To verify quality control, weight differences were carried out. Obtaining the results of appropriating voltage of 2.0V, amperage of 1.5A and a time of 10 minutes are the ideal parameters obtained in the nickel electrodeposition process at environmental conditions of the high plateau region.
Alexandra Chapcakova, Jaroslava Heckova, Miroslav Gombár
et al.
This paper provides a comprehensive overview of European M&A activity from 1998-2021. It examines trends and drivers of cross-border mergers and acquisitions, examining how European integration has affected M&A activity and the critical characteristics of M&As in the European Area. The ambition is to contribute to the existing literature on M&A activity in Europe. The paper aims to analyze the impact of advancing integration processes in Europe through our selected predictors on capital reallocation through cross-border M&As as a whole and also separately in the manufacturing sector and the service sector in the examined period in the countries of the European area through a generalized regression model and identify peculiarities in both industries. To achieve this goal, we investigated a new dataset of all completed M&A between 1998 and 2021 in 19 sources and 28 target countries of the European Area.
Marco Puliti, Elena Di Giusto, Viola Papetti
et al.
In the following research work, an experiment of guided innovation is presented. The context is the Innovation for Change (I4C) program, in which a group of students, either PhDs or MBAs, are asked to solve a challenge provided by a stakeholder. The problem is “the future of work” in the context of a post pandemic scenario, with a focus on how to manage spaces remained empty due to remote working. The solution obtained is the consequence of a combination of brainstorming sessions, problem definition, benchmarking and interviewing stakeholders, experimental validation and prototyping. The outcome is a platform, B-Hub, which exploits empty locations to create a network of decentralised co-working spaces in which employees from every company can remotely work.
Ian Miles, Veronika Belousova, Nikolay Chichkanov
et al.
Knowledge-Intensive Business Services (KIBS) are problem-solvers for other organizations. The coronacrisis affects KIBS directly, but also means that their clients are confronting new problems. How are KIBS addressing these two sets of challenges? This paper draws on material available in the trade and industry press, on official reports and statistics, and the early academic studies addressing these themes. We find that KIBS have been active (alongside other organizations) in providing a substantial range of services aimed at helping their clients (and others) deal with various contingencies thrown up by the crisis. Not least among these is the need to conform to shifting regulatory frameworks, and requirements for longer-term resilience. KIBS themselves have had to adapt their working practices considerably, to reduce face-to-face interaction with clients and within teams collaborating on projects. Adaptation is easier for those whose tasks that are relatively standardized and codified, and it remains to be seen how far a shift to such activities - and away from the traditional office-based venues of activity - is retained as firms recover from the crisis. KIBS are liable to play an important role in this recovery from the crisis, and policymakers can mobilize their services. Some KIBS are liable to be critical for rendering economies more resilient in the face of future pandemics and we argue that these firms are also important for confronting the mounting climate crisis.
Companies are increasingly adopting open source strategies to develop and exploit complex infrastructures and platforms that combine software, hardware and standard interfaces. Such strategies require the development of a vibrant ecosystem of partners that combines the innovation capabilities of hundreds of companies from different industries. Our aim is to help decision makers assess the benefits and challenges associated with creating or joining such ecosystems. We use a case study approach on six major collaborative ecosystems that enable the development of complex, high cost infrastructures and platforms. We characterize their strategy, governance, and their degree of intellectual property (IP) openness. We offer a three-dimensional framework that helps managers characterize such ecosystems. Although all the ecosystems studied aim at scaling up innovative solutions, their strategy, governance and IP openness vary. An upstream strategy aimed at replacing supplier proprietary design with open substitutes requires a democratic governance and an intellectual property policy that maximize the attractiveness of the ecosystem. A downstream strategy aimed at carving a space in new markets requires an autocratic governance and an intellectual property policy that combine attractiveness and value capture opportunities.
Adina Cosma Smaranda, Cristina Fleseriu, Marius Bota
On the Romanian market there are 21 international hotel chains, having 51 hotels. The goal of the research paper is to analyze which are the marketing mix policies and strat-egies used by the hotels, belonging to an international hotel chain on the Romanian market. For this purpose, a descriptive research was implemented through investigation of all the hotels that are part of an international hotel chain. The research reveals that hotels operate by abiding the norms established by contract. The higher the risk, the investment and control are, the more influence the hotel chain has regarding the pricing strategies. Hotels use their own channels but also the parent chain channels. Promo-tion strategy takes into account global, regional and local issues encountered. The ma-jority of the hotels have the possibility to decide some internal elements for their per-sonnel. All the hotels apply norms and standardized procedures regarding the quality of the services. The most expected advantage for a hotel that belongs to an international chain is the visibility at international level.