L'impatto dei Big Data sulle attività di pianificazione &amp; controllo aziendali: In caso di studio di una PMI agricola Italiana

It is possible to exploit potentials of Big Data in the shipbuilding industry in order to increase efficiency and company performance. Big Data analysis will probably have a great impact on strengthening the competitiveness in the whole sector, providing various types of benefits and effective support to the decision-making system. Academics maintain that analysis methods and algorithms can offer spe-cific guidelines to managers and practitioners in order to satisfy their information needs. Even though it is recognized that the techniques for Big Data analysis are relevant, only a few studies provide practical guidelines on how to apply these techniques in specific industries like shipbuilding. This preliminary study aims to develop a conceptual framework of Big Data anal-ysis based on the value chain approach. By using a deductive methodology, the framework is built taking into consideration four phases of the value chain in the shipbuilding industry - i.e. pre-production, design, production, and post-production. For its relevance, the study considers the pre-production phase, trying to classify data sources, analysis methods, and algorithms for the main activities of this node and also providing various suggestions to shipbuilding managers and practitioners. The researchers develop the framework by considering secondary data collected from the literature analysis. Our results can successfully support decision making in shipbuilding companies, making processes and operations more cost-effective and helping companies be more competitive. Specifically, in the pre-production node this will lead to real-time demand forecasting and a more reliable estimation of initial production costs.

Section: Bda and Iiotmentioning

confidence: 99%

The Potential of Big Data Analysis in the Shipbuilding Industry: A Way of Increasing Competitiveness

Cappelli¹,

Cavallini²

2021

“…It has been acknowledged that the ability to manage big data can play a relevant role in creating value and gaining competitive advantage (McAfee and Brynjolfsson, 2012), and scholars have highlighted the need to design and implement performance measurement systems that integrate big data analytics in order to maximize the value extracted from data (Cupertino et al, 2018;Visani, 2017). However, how big data analytics can enhance a key aspect of performance measurement systems, i.e., their strategic dimension (Sardi et al, 2020) is a stream of research that requires, and deserves, additional attention (Ferraris et al, 2018).…”

mentioning

confidence: 99%

Big data for business modeling: Towards the next generation of performance measurement systems?

Montemari

Nielsen

2021

N.B: Copia ad uso personale. È vietata la riproduzione (totale o parziale) dell'opera con qualsiasi mezzo effettuata e la sua messa a disposizione di terzi, sia in forma gratuita sia a pagamento.Copyright © FrancoAngeli N.B: Copia ad uso personale. È vietata la riproduzione (totale o parziale) dell'opera con qualsiasi mezzo effettuata e la sua messa a disposizione di terzi, sia in forma gratuita sia a pagamento.

“…Tali innovazioni sono state per lungo tempo differenziate da quelle tecnologiche, nella letteratura (Birkinshaw & Mol, 2006;Hamel, 2006;Birkinshaw & al., 2008;Damanpour & Aravind, 2012;Jaouen & Le Roy, 2013). Alla luce dei contributi che seguiranno, si evince come tale distinzione viene sempre meno, sopratutto se si considerano le recenti innovazioni nei sistemi di controllo di gestione (Cupertino et al, 2018;Lisi & Cifalinò, 2017) e di risk manangement (Crovini et al, 2018). Si pensi, ad esempio, ai sistemi di gestione del rischio, che oltre a prevedere un nuovo approccio proattivo di gestione, fondato su logiche di processo, hanno integrato innovazioni tecnologiche quali l'intelligenza artificiale.…”

unclassified

Editoriale. Tratti di innovazione nei sistemi di controllo e risk management

Castellano¹,

Magnaghi²

2019

Snapshots of innovation in Management control and risk management systems Nowadays the turbulence, which is dominating economic systems in all sectors, forces companies to a non-stopping research of new paths through which obtain growth and performance improvement. Innovation in information systems as well as management accounting and risk management systems are actually fully included in the initiatives that could lead a company to obtain a radical change and consequent benefits. All the contribution collected in this issue of Management and control provide the readers with a multi-faceted perspective of the possible connotation of innovation in several operating contexts that range from private to public sector.