20 research outputs found

    The Emerging of Enhanced Intellectual Capital: The Impact of Enabling Technologies on the Professional Football Clubs

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    The chapter aims at analyzing the impact of the enabling technologies on the companies’ intellectual capital management. Using the framework of intellectual capital as an interpretative key to illustrate the evolution of the managerial function, we will define the concept of enhanced intellectual capital. This framework is demonstrated in the context of professional football. The findings demonstrate that the intellectual capital components can enhance their value through the use of technology tools; consequently, the football clubs can improve the economic and sporting performance

    Big Data, Artificial Intelligence and Epidemic Disasters. A primary Structured Literature Review

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    This paper presents the structured literature review of the big data and artificial intelligence in relation to the epidemic disasters among which the current SAR-COV-2. Providing a deep understanding of the state of the art, the paper drafts implications and valuable insights to manage and prevent epidemic disasters by public and private organizations drafting the research agenda. Interestingly, a two-decade study of the connection between big data, artificial intelligence and pandemic or epidemic issues is undertaken for the first time. This paper adopted a longitudinal study of the literature from the relevant databases Scopus as a leading source to get access to the articles. The diffusion of epidemic disasters among which SARS-COV-2 needs to be managed investigating several aspects such as the prevention and tracking of the epidemia or pandemia. The role of smart technologies and particularly big data and artificial intelligence is useful in tracking, preventing and managing the emergency by organizations, institutions and policymakers. This study provides for the first time the connection among big data, artificial intelligence and epidemic disasters, providing valuable implications, insights and emerging issues among which the relevance of decision-making processes and risks definition and assessment

    Decision-making biases and human capital employment: an investigation on Italian soccer clubs.

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    The research study aims to improve knowledge about biases in managers’ decision-making processes, investigating the context of the soccer (football) industry and observing whether discrimination factors impact managers’ decision- making about players’ employment within professional soccer clubs. Using the population of the Top Italian Soccer League clubs, we design a research framework and conduct an empirical analysis to investigate if managers' decisions on footballers’ salaries are affected by discrimination based on the status of foreign/domestic players or black/white players, taking in consideration the correlation between footballers’ salaries and their performance. The results suggest that managers of professional football clubs apply a discrimination strategy, which sometimes affects their decision-making. Results provide practical implications on the types of discrimination errors committed by the management of big and small soccer clubs. Our results' theoretical and managerial implications and the issue of the extendibility of the findings to non-sport organizations are discussed

    Business models, circular and green economy towards sustainability. A systematic literature review.

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    The paper presents a systematic literature review (SLR) on the connection between business models and the adoption of the circular economy and the green economy towards sustainability. A classification is offered through which it is possible to understand the environmental, economic and social advantages that these components would beable to bring to the enterprise. We used the Scopus, Web of Science, PubMed and Google Scholar databases as the main source to collect papers. Initially, 387 papers were collected. Subsequently, we proceeded to review the contributions and, once the selection criteria were outlined, we analyzed and classified 84 publications as priorities. The SLR is performed through a bibliometric analysis using VOSviewer software. Finally, we elaborated the state of the art of this research topic for the future agenda
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