Big Data for Decision Making: Are Museums Ready?

Agostino, Deborah; Arnaboldi, Michela; Carloni, Eleonora

doi:10.1007/978-3-030-46796-8_4

Cited by 2 publications

(3 citation statements)

References 27 publications

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“…, 2021). However, in contrast to private companies, the literature on public management continues to explore whether public organisations are ready for new technologies, such as big data (Agostino et al. , 2020) or artificial intelligence (Mikalef et al.…”

Section: Research Backgroundmentioning

confidence: 99%

“…(2021) highlight the need to investigate how social and public sector management could benefit from artificial intelligence in delivering services (Fosso Wamba et al, 2021). However, in contrast to private companies, the literature on public management continues to explore whether public organisations are ready for new technologies, such as big data (Agostino et al, 2020) or artificial intelligence (Mikalef et al, 2019). Whereas in the private sector, the Industry 4.0 concept emerged in 2014 (Trotta and Garengo, 2018) and developed in the following years, in the public and not-for-profit sectors, the literature is still emerging and managerial practice remains in its infancy (Fosso Wamba et al, 2021).…”

Section: Research Backgroundmentioning

confidence: 99%

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Performance measurement and management system 4.0: an action research study in investee NPOs by local government

Sardi

Sorano

Giovando

et al. 2022

IJPPM

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PurposeThe Fourth Industrial Revolution is increasing the use of digital technologies for delivering products and services. A performance measurement and management system (PMMS) is recognised as a useful system to guide era 4.0; however, the literature has not adequately addressed this challenge in public government and not-for-profit organisations (NPOs). This research aims to investigate the evolution of the PMMS adopted by a local government for the control of investee NPOs in era 4.0.Design/methodology/approachThrough action research, the authors investigate an Italian municipality and its main investee NPOs. The project involved 4 researchers and 25 managers of the local government and NPOs.FindingsThis paper describes the design of a PMMS developed for a local government to control its investee NPOs. Considering the regulations and managerial needs, the designed system evolved from a fragmented set of indicators based on legitimacy and economic perspectives to a holistic set of indicators based on a comprehensive set of perspectives to consider the changing business environment.Originality/valueThis study sheds light on the design of a PMMS adopted by local governments for controlling investee NPOs in era 4.0. The paper contributes (1) to identify the main control needs for the design of a PMMS in a public network and (2) to capture the evolution of a PMMS in light of era 4.0 by developing two conceptual propositions.

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Section: Research Backgroundmentioning

confidence: 99%

Section: Research Backgroundmentioning

confidence: 99%

Performance measurement and management system 4.0: an action research study in investee NPOs by local government

Sardi

Sorano

Giovando

et al. 2022

IJPPM

View full text Add to dashboard Cite

show abstract

“…In particular, firms can leverage Big Data analytics to develop new knowledge and infer relevant information about their business processes, resulting in an increase in the management effectiveness, performance, and the consequent establishment of a competitive advantage [10,11]. However, while evidence about the use of Big Data analytics in CCI is increasingly available in the extant academic literature (e.g., [12,13]), only recently, a limited number of studies has been focusing on increasing the understanding about generalized methodologies that can be used to extract informational value from Big Data (e.g., [14][15][16][17]). This is especially true for music products, which are difficult to analyze by separating and isolating their inner fundamental elements, such as rhythm, chords progressions, dynamics, and danceability.…”

Section: Introductionmentioning

confidence: 99%

Information Retrieval Technologies and Big Data Analytics to Analyze Product Innovation in the Music Industry

et al. 2023

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In Cultural and Creative Industries, innovation contributes to generating a competitive advantage thanks to the fundamental role assumed by the human creativity and the quest for novelty. In particular, the music industry stands out as one of the most successful ones, in terms of both revenue and employment. The music industry is also quickly and constantly growing, supported by the new digital technologies and the rise of streaming platforms and digital services, which have increased the availability of continuous, reliable, and timely data. Consequently, this may allow the implementation of novel techniques to study product innovation occurring in the music industry. Nonetheless, quantitative approaches to study innovation in this industry are scant. The present study aims at filling this gap by developing a quantitative approach to analyze product innovation dynamics in the music industry exploiting data collected through Music Information Retrieval technologies. We selected a successful band as a case study and analyzed each song released from 1984 to 2016 to obtain a quantitative representation of their musical production. We then developed and applied quantitative similarity metrics to see how each album was similar or different from the previous ones and from the most relevant music genres, to better understand innovation dynamics in music production.

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Big Data for Decision Making: Are Museums Ready?

Cited by 2 publications

References 27 publications

Performance measurement and management system 4.0: an action research study in investee NPOs by local government

Performance measurement and management system 4.0: an action research study in investee NPOs by local government

Information Retrieval Technologies and Big Data Analytics to Analyze Product Innovation in the Music Industry

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