Francesca Bartolacci

Francesca Bartolacci


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2019 in Business Strategy and the Environment
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Journal Article
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FBFrancesca Bartolacci
Francesca Bartolacci
ACAndrea Caputo
Andrea Caputo
SMSoverchia Michela
Soverchia Michela

1 September 2018 in Waste Management
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Journal Article
Closed access
FBFrancesca Bartolacci
Francesca Bartolacci
APAntonella Paolini
Antonella Paolini
AQAnna Grazia Quaranta
Anna Grazia Quaranta
SMSoverchia Michela
Soverchia Michela

1 September 2019 in Resources, Conservation and Recycling
Verified
Journal Article
Closed access
FBFrancesca Bartolacci
Francesca Bartolacci
RGRoberto Del Gobbo
Roberto Del Gobbo
APAntonella Paolini
Antonella Paolini
SMSoverchia Michela
Soverchia Michela

1 September 2019 in Environmental Impact Assessment Review
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Journal Article
Closed access
FBFrancesca Bartolacci
Francesca Bartolacci
RCRoy Cerqueti
Roy Cerqueti
APAntonella Paolini
Antonella Paolini
SMSoverchia Michela
Soverchia Michela

29 July 2024 in International Journal of Public Sector Management
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Journal Article
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FBFrancesca Bartolacci
Francesca Bartolacci
RGRoberto Del Gobbo
Roberto Del Gobbo
SMSoverchia Michela
Soverchia Michela
Purpose: This paper contributes to the field of public services’ performance measurement systems by proposing a benchmarking-based methodology that improves the effective use of big and open data in analyzing and evaluating efficiency, for supporting internal decision-making processes of public entities.Design/methodology/approach: The proposed methodology uses data envelopment analysis in combination with a multivariate outlier detection algorithm—local outlier factor—to ensure the proper exploitation of the data available for efficiency evaluation in the presence of the multidimensional datasets with anomalous values that often characterize big and open data. An empirical implementation of the proposed methodology was conducted on waste management services provided in Italy.Findings: The paper addresses the problem of misleading targets for entities that are erroneously deemed inefficient when applying data envelopment analysis to real-life datasets containing outliers. The proposed approach makes big and open data useful in evaluating relative efficiency, and it supports the development of performance-based strategies and policies by public entities from a data-driven public sector perspective.Originality/value: Few empirical studies have explored how to make the use of big and open data more feasible for performance measurement systems in the public sector, addressing the challenges related to data quality and the need for analytical tools readily usable from a managerial perspective, given the poor diffusion of technical skills in public organizations. The paper fills this research gap by proposing a methodology that allows for exploiting the opportunities offered by big and open data for supporting internal decision-making processes within the public services context.

1 January 2022 in Journal of Entrepreneurship, Management and Innovation
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Journal Article
Open access
PDF file
FBFrancesca Bartolacci
Francesca Bartolacci
ACAndrea Cardoni
Andrea Cardoni
PŁPiotr Łasak
Piotr Łasak
WSWojciech Sadkowski
Wojciech Sadkowski
PURPOSE: The paper aims to identify the characteristics of the entities involved, the motivations and the processes of forming strategic alliances between a small cooperative bank and a fintech start-up. The paper bridges the research gap in the literature and explains the success factors of strategic alliance between considered entities. METHODOLOGY: We applied a typical qualitative research approach that consists of two steps. The first step was to develop an analytical framework to understand the critical success factors for the strategic alliance formation between banks and fintech start-ups. In the second step, we applied the analytical framework for a case study analysis, considering the strategic alliance between the Banca Popolare di Cortona and the NetFintech start-up. FINDINGS: Our research shows that there are different motives for strategic alliance formation for banks and fintech start-ups. From a theoretical point of view, banks’ motivations are based on outsourcing, innovation, the evolution of the business model, competitive advantage, saving costs, improving service quality, and learning. The main motives for fintechs include access to customers, loans, banking license, economies of scale, trust, and credibility. In the empirical part, we found that the crucial success factors are strategic alignment and hybridization, competence and experience, cultural value and territorial closeness, and professionalism. IMPLICATIONS: The results develop the knowledge about the best conditions for cooperative banks and fintech start-ups strategic alliances. The main limitation is that the paper is based only on one case study and it is related to cooperative banks and does not embrace other groups of banks. For this reason, it can be a basis for further research in this area. The described case study can be a good example to compare other cases of such alliances. Cooperative banks and fintech start-ups involved in a strategic alliance should share the commitment at the governance level. Critical are also the procedures of the alliance formation. ORIGINALITY AND VALUE: This article provides two main contributions to the literature on the technology-driven transformations of the banking sector. First, we elaborated a theoretical framework of the critical success factors for the bank and fintech start-up strategic alliance formation. Second, we applied the framework with the bank–fintech start-up cooperation in the local market in Italy. Contrary to previous research, which focuses mainly on commercial banks, this article presents the relationship between cooperative banks and fintech start-ups.