Ihor Rudko

Management & Marketing 20(1) p. 82-82 Doi: https://doi.org/10.2478/mmcks-2025-0002

Abstract Digital transformation gives rise to enhanced innovation, changes in the digital landscape, and elevated stakeholder interconnectedness, so the phenomenon of digital innovation ecosystems (DIEs) arises. DIEs give new opportunities but, at the same time, pose new challenges related to the interaction between citizens, communities, organizations, and territories in the rapidly changing environment. The DIE concept has been explored in the scientific literature, though it remains a topic of partial debate. Hence, the main objective of this research is to provide a full-fledged definition of the term DIE, its core components, and a conceptual framework of the studied phenomenon. The research adopts a systematic literature review of scholarly studies. Additionally, we use a latent semantic analysis to complement the results, particularly to provide statistical validation for the theorized DIE framework. The outcomes of this research may inspire further academic research and discussion, fostering a deeper understanding of the topic, while helping business and political decision-makers assess and enhance the development level of their respective DIEs.

Ethics and Information Technology 27(3) Doi: https://doi.org/10.1007/s10676-025-09845-2

Abstract In this article, we examine a peculiar issue apropos large language models (LLMs) and generative AI more broadly: the frequently overlooked phenomenon of output homogenization. It describes the tendency of chatbots to structure their outputs in a highly recognizable manner, which often amounts to the aggregation of verbal, visual, and narrative clichés, trivialities, truisms, predictable argumentations, and similar. We argue that the most appropriate conceptual lens through which said phenomenon can be framed is that of Frankfurtian bullshit. In this respect, existing attempts at applying the BS framework to LLMs are insufficient, as those are chiefly presented in opposition to the so-called algorithmic hallucinations. Here, we contend that further conceptual rupture from the original metaphor of Frankfurt (1986) is needed, distinguishing between the what-BS, which manifests in falsehoods and factual inconsistencies of LLMs, and the how-BS, which reifies in the dynamics of output homogenization. We also discuss how issues of algorithmic biases and model collapse can be framed as critical instances of the how-BS. The homogenization problem, then, is more significant than it initially appears, potentially exhibiting a powerful structuring effect on individuals, organizations, institutions, and society at large. We discuss this in the concluding section of the article.

Journal of Management History p. 1-24 Doi: https://doi.org/10.1108/JMH-09-2023-0097

Purpose– Thisstudy, a theoretical article, aims to introduce new institutionalism as a framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although the new institutional theory is a fully established research program, the neoinstitutional literature on AI is almost non-existent. There is, therefore, a need to develop a deeper understanding of AI asboththeproductofinstitutionalforces andas an institutional force in its ownright. Design/methodology/approach– Theauthorsfollowthetop-down approach.Accordingly,theauthors f irst briefly describe the new institutionalism, trace its historical development and introduce its fundamental concepts: institutional legitimacy, environment and isomorphism. Then, the authors use those as the basis for the queries to perform a scopingreview ontheinstitutionalrole of AI inorganizations. Findings– The findings reveal that a comprehensive theory on AI is largely absent from business and management literature. The new institutionalism is only one of many possible theoretical perspectives (both contextually novel and insightful) from which researchers can study AI in organizational settings. Originality/value– The authors use the insights from new institutionalism to illustrate how a particular social theory can fit into the larger theoretical framework for AI in organizations. The authors also formulate four broad research questions to guide researchers interested in studying the institutional significance of AI. Finally, the authors include a section providing concrete examples of how to study AI-related institutional dynamics inbusinessandmanagement.

Cities: The International Journal of Urban Policy and Planning 140 Doi: https://doi.org/10.1016/j.cities.2023.104459

Contemporary smart city solutions rely on standardized von Neumann architecture, in which single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on the fundamental principles of quantum physics, transcending the conventions of the current computational paradigm. On the one hand, urban quantum technologies hold managerial relevance for future smart cities. On the other hand, they are often overlooked by smart city researchers. Accordingly, their value as a breakthrough technological paradigm is still largely unexplored. In this article, we look at how quantum technologies may contribute to existing smart city solutions, including the Internet of Things, cloud computing, big data, ICT, smart transportation, artificial intelligence, and blockchain. First, through a semi-systematic review of eighty articles on quantum computing within the social science domain, we identify two relevant classes of urban quantum technologies: quantum communication and quantum computing. Second, we establish a comprehensive taxonomy of conventional smart city solutions based on the automated content analysis of 567 abstracts of articles on the technological aspects of smart cities. Third, we investigate potential associations between two classes of technologies (conventional smart city solutions and urban quantum technologies) by analyzing the semantic relationships between eighty articles on quantum technologies according to the frequency of keywords denoting different types of conventional smart city solutions. Finally, we triangulate our findings through a thematic analysis of potential uses of quantum technologies within identified categories of smart city solutions.

Technological Forecasting and Social Change 194 Doi: https://doi.org/10.1016/j.techfore.2023.122642

Today's cities are facing increasingly complex challenges. The growing uncertainty and complexity—caused by the unremitted differentiation of social, environmental, and technological orders—call for novel ways of conceptualizing urban reality. Although technology-oriented solutions shape the most efficient strategies to manage complexity in contemporary cities, ensuring an effective transition toward a Quantum City paradigm can grant considerable advantages for city administrators and managers facing looming urban challenges. In this article, we introduce the Quantum City metaphor—grounded in fundamental notions of quantum mechanics—as a new conceptual lens for investigating urban complexity. We then build upon the metaphor, theorizing a set of assumptions grounded in three fundamental concepts of quantum theory: relativity, uncertainty, and duality/parallelism. Finally, we propose an empirical conceptualization of Quantum Cities based on the concrete adoption of quantum technologies to deal with urban complexity. This is achieved through a systematic literature review of scholarly records on quantum technologies in the context of social sciences, emphasizing related urban problematics and challenges. Principal component analysis and agglomerative hierarchical clustering reveal two types of quantum technologies most useful for city planners and managers: quantum communication and quantum computing. Accordingly, we perform a qualitative thematic synthesis of related scholarly records, emphasizing the negative and positive aspects of both types of urban quantum technologies.