Publication Authors: Davide Aloini

Methods and Business Process Analytics in Emergency Departments: A Systematic Literature Review
Marco Berdini, Davide Aloini, Elisabetta Benevento, Alessandro Stefanini Predictive
Emergency departments (EDs) are vital components of healthcare systems. However, they are under increasing pressure due to limited resources, demographic changes, and growing demand for healthcare services. Improving the operational efficiency of EDs is crucial for managing the pressures they face. Predictive modeling, supported by advances in hospital information systems and the development of artificial [...]
IN: Proceedings IFKAD 2024 - Translating Knowledge into Innovation Dynamics
PP: 2537-2555
See all publications by each of the following authors: Alessandro Stefanini Predictive, Davide Aloini, Elisabetta Benevento, Marco Berdini
Blockchain-Driven Process Innovation in Healthcare Ecosystems: a Business Process Management Capabilities Analysis
Davide Aloini, Elisabetta Benevento, Alessandro Stefanini, Pierluigi Zerbino
The Blockchain potential in enabling and boosting business process innovation in the Healthcare industry is a hot topic. However, the realization of such a potential is hampered by two hindrances. First, healthcare business processes are inherently complex. This implies additional difficulties in managing and innovating them. Second, the digitalization trend has entailed relevant changes in [...]
IN: Proceedings IFKAD 2021 - Managing Knowledge in Uncertain Times
PP: 1092-1111
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Elisabetta Benevento, Pierluigi Zerbino
Business Model Innovation in the Space Industry
Lara Agostini, Davide Aloini, Loretta Latronico, Valentina Lazzarotti, Anna Nosella, Luisa Pellegrini
The Copernicus Programme leaded by ESA (European Space Agency) has/is released/ing a huge amount of Earth Observation data and therefore firms operating in the Space Industry aim at getting most out of them. However, this is not straightforward in that, to be exploited, data need to be processed and interpreted and this, on its turn, [...]
IN: Proceedings IFKAD 2020 - Knowledge in Digital Age
PP: 833-846
See all publications by each of the following authors: Anna Nosella, Davide Aloini, Lara Agostini, Loretta Latronico, Luisa Pellegrini, Valentina Lazzarotti
Exploiting administrative data for enhancing “LAST MILE” logistic in hospitals
Davide Aloini, Elisabetta Benevento, Alessandro Stefanini, Filippo Visintin
This work reports preliminary outcomes from the project LINFA, whose aim is to develop a technological, information and organizational system to support the procurement process of medicines and medical devices within healthcare organizations. Such system integrates simulation and optimization algorithms and forecasting models along with advanced logistic practices and traceability technologies by exploiting the increasing [...]
IN: Proceedings IFKAD 2019 - Knowledge Ecosystems and Growth
PP: 573-584
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Elisabetta Benevento, Filippo Visintin
Using Analytics to predict patient’s Length of Stay in Emergency Department
Nunzia Squicciarini, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, Valeria Mininno
In recent years, the widespread adoption of Hospital Information Systems is enabling hospitals to measure and record an ever-growing volume and variety of patient and process-related data. In such context, analytics are emerging as suitable tools and methods for extracting and analyzing such data and for providing useful insights to assist decision-making. The Emergency Department [...]
IN: Proceedings IFKAD 2019 - Knowledge Ecosystems and Growth
PP: 275-284
See all publications by each of the following authors: Davide Aloini, Elisabetta Benevento, Nunzia Squicciarini, Riccardo Dulmin, Valeria Mininno
Improving the Accuracy of Waiting Time Prediction in Emergency Departments
Elisabetta Benevento, Davide Aloini, Riccardo Dulmin, Valeria Mininno
This work aims to improve the accuracy of the waiting times prediction in ED, by incorporating queue variables enabled by process mining that capture the crowding of the activities inside the ED. By undertaking process mining, it is possible to gain insights into the hospital processes extracting the entire patient-flow and the queueing-related information (e.g., [...]
IN: Proceedings IFKAD 2018 - Societal Impact of Knowledge and Design
PP: 1639-1651
See all publications by each of the following authors: Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, Valeria Mininno
Inside-Out: The Forgotten Side of Open Innovation and The Role of ICT and Digital Transformation
Davide Aloini, Roberta Amerotti, Valentina Lazzarotti, Luisa Pellegrini, Pierluigi Zerbino
The exploitation Information and Communication Technologies (ICTs) in knowledge transfer from and to external partners is a nontrivial management issue (Awazu et al., 2009; Cui et al., 2015). How ICT platforms could enable connectivity and collaboration is a compelling scientific topic in the next OI research agenda (Bogers et al., 2017). Accordingly, this manuscript aims [...]
IN: Proceedings IFKAD 2018 - Societal Impact of Knowledge and Design
PP: 950-961
See all publications by each of the following authors: Davide Aloini, Luisa Pellegrini, Pierluigi Zerbino, Roberta Amerotti, Valentina Lazzarotti
Performance analysis in emergency departments: a data-driven approach
Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, Valeria Mininno
This paper aims to investigate the process performances in Emergency Departments with an innovative data-driven approach. This approach permits to gain insights into the Emergency Departments processes showing the entire patient-flow, deploying the performances in term of time and resources on the activities and flows, and identifying process deviations and critical bottlenecks. Moreover, the use [...]
IN: Proceedings IFKAD 2017 - Knowledge Management in the 21st Century: Resilience, Creativity and Co-creation
PP: 73-84
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, Valeria Mininno
Big Data: a proposal for enabling factors in Customer Relationship Management
Davide Aloini, Riccardo Dulmin, Valeria Mininno, Pierluigi Zerbino
This paper aims to investigate the potential impact of Big Data (BD) on Critical Success Factors (CSFs) of Customer Relationship Management (CRM). An extensive and sound literature review about CRM was developed, classifying results within an ad-hoc framework. Evidences were discussed and linked to the existing literature on BD. Then, five propositions linking BD and [...]
IN: Proceedings IFKAD 2016 - Towards a New Architecture of Knowledge: Big Data, Culture and Creativity
PP: 1858-1874
See all publications by each of the following authors: Davide Aloini, Pierluigi Zerbino, Riccardo Dulmin, Valeria Mininno
Structured selection of partners in Open Innovation communities: an IF-TOPSIS based approach
Davide Aloini, Riccardo Dulmin, Giulia Farina, Valeria Mininno, Luisa Pellegrini
Purpose – Open innovation (OI) literature suggests that firms can improve their innovation performance by learning from a large set of actors in the innovation process. However, although this premise, the extant literature has rather completely overlooked the ‘who’ question: which partners should be included in the different phases of the innovation funnel? How should [...]
IN: Proceedings IFKAD 2015 - Culture, Innovation and Entrepreneurship: Connecting the Knowledge Dots
PP: 2274-2288
See all publications by each of the following authors: Davide Aloini, Giulia Farina, Luisa Pellegrini, Riccardo Dulmin, Valeria Mininno
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