1,354,594 research outputs found
Digital Transformation: A Definition of Component (Canvas) and Process (Roadmap) View
No full textDigital transformation has gathered a significant interest within the research and industrial
communities, and has become an umbrella concept to address the multiple technology, strategic, human
resource and operations management dimensions involved into a digital-enabled organizational
renewal. Despite such increasing interest, a shared understanding of what is involved in digital
transformation and how a digital transformation initiative can be undertaken is still missing in the extant
literature. This article aims to contribute by identifying the multifaceted conceptual and applicative
dimensions of digital transformation, and to integrate the same into a single unifying framework. Based
on a design science approach and the review of large although fragmented literature, the article presents
a component-view or Digital Transformation Canvas and a process–view or Digital Transformation
Roadmap. The contribution is thus both in the academic and in the practitioner field
Recensione a Squillace G., Filippo II di Macedonia, Salerno Editrice, Roma 2022, pp. 360, ISBN 9788869736780
No full textLa biografia su Filippo II di G.
Squillace è il risultato di una ricerca che
l’autore ha iniziato in ambito dottorale e
che ha conosciuto un primo sviluppo con
la pubblicazione di un libro dedicato al
Macedone nel 2009. Nonostante si tratti di
una seconda analisi della vita di Filippo, il
lavoro presenta elementi di novità, includendo non soltanto la storia evenemenziale,
ma anche uno studio, condotto spesso in
ottica comparatistica, delle fonti e delle
letture che su questo personaggio nacquero
a partire dal Settecento
Aerodynamic Characterization of the CARINA Re-Entry Module in the Low Supersonic Regimes
No full textPac, in Emilia-Romagna è la zootecnia a pagare
No full textIl 26 giugno 2013 è stato raggiunto l'accordo politico sulla nuova PAC che interesserà il periodo 2014-2020. L’accordo prevede un’articolazione dei pagamenti diretti in sette componenti, di cui tre obbligatorie (pagamento di base, pagamento verde e pagamento per i giovani agricoltori) e quattro facoltative entro determinate percentuali del plafond complessivo (pagamento
ridistributivo, pagamenti per zone soggette a vincoli naturali, pagamento accoppiato e pagamento per i piccoli agricoltori).
L'analisi dell'accordo è stata condotta impiegando uno strumento di valutazione economica basato sulla programmazione matematica positiva (PMP). L’analisi dell’accordo sulla pac 2014-
2020 mostra un sostanziale ridimensionamento rispetto alla portata innovatrice della proposta della Commissione
The contractual relationships in the Italian durum wheat chain: Empirical survey evidence
No full textThe paper investigates the vertical relations along the Italian durum wheat chain and the factors affecting farmers’ behavior in adopting contractual agreements. Sale/crop-growing contracts in the durum wheat sector are analyzed through a direct survey to a sample of 261 durum wheat farmers. The questionnaire collected data on downstream relations and contract terms between farmers and processing and/or marketing firms along the durum wheat chain. A logit model is used to identify factors affecting the likelihood of contract farming between farms and processors. One of the main issues emerging is the low frequency of written contractual forms between durum wheat farmers and downstream operators. In most cases the farmers do not want constraints and reveal a lack of trust in contracts. They prefer to sell their product to a local downstream operator with whom they have a long-standing and solid relationship of trust. Moreo-ver, results of a logistic model show that certain farm features, such as turnover and degree of specializa-tion in durum wheat production, play an important role in driving the decision to adopt written contracts
Le omissioni di Senofonte nella descrizione della battaglia di Aliarto (Hell. 3, 5, 17-25)
No full textIt has been well established that each historian, even ancient ones, uses among the composing techniques of his narrative what Paul Ricœur identifies as stratégies de l’oubli, through the omission of some details. Xenophon’s Hellenica have always represented a privileged ground for investigating this tendency. Scholars have tried, through systematic studies of the work and comparison with other sources, to understand the reasons why the Athenian historian includes only some details in his narrative, while eliminating others. Riedinger and Pownall’s studies are quite comprehensive in their analysis of such omissions. Nevertheless, no one delved into the description of the Battle of Haliartos proposed by Xenophon. Indeed, the historian focuses on Lysander’s and Pausanias’ planning of the attack on the Boeotian city, the changing mood of the Thebans, and the impulsiveness of the Spartan general, by passing in silence certain details that any reader would expect from the account of the battle. The article aims to point out narrative inconsistencies and to reflect on the reasons why Xenophon has given birth to an only partially reliable description of the battle of Haliartos
A Human Resources Analytics Dashboard to support People-Centred Organizational Transformation
No full textHuman Resource (HR) analytics (or people analytics) includes a large family of methods and
applications aimed to analyse people-related data and build robust and effective HR-centred
organizational processes. The development of HR analytics is a relevant trend, of major interest for
scholars and practitioners, and this is particularly true in the post-pandemic scenario, characterized
by growing volatility, uncertainty and complexity. Such conditions are requiring organizations to
increasingly put human resources at the centre of their resilience building and transformation
processes. Advanced intelligence and decision support capabilities are crucial to build people-centred
organizations, and new theory contributions and practitioner advancements are thus needed to provide
robust conceptual frameworks and real-life applications. In such endeavour, we present
HUMANWISE, an integrated HR analytics system providing analytics tools to support workforce
status monitoring, competence re-allocation and development, and predictive analysis. We adopt an
interdisciplinary and multi-dimensional approach and a mixed research process, which includes a
systematic review of literature on HR analytics and a design science and group model building
activity, aimed to involve key stakeholders in the conceptualization and development effort. We
describe the conceptual architecture of the HR analytics system, with key design choices in terms of
data input, processing and output. Next, we formulate a set of corporate scenarios and an illustrative
dashboard to generate decision support functionalities for company managers and provide them with
insights useful to build more robust HR-centred transformation plans
The impact of ozone on crop yields by combining multi-model results through a neural network approach
No full textField experiments have demonstrated that atmospheric ozone can damage crops, leading to yield reduction and a deteriorating crop quality [3]. The availability of regional scale air pollution models allows one to combine modeled ozone fields, exposure-response functions, crop location and growing season, to obtain regional estimates of crop losses. Since 2008 the Air Quality Model Evaluation International Initiative (AQMEII) coordinated by the EC/Joint Research Center and the US EPA has worked toward knowledge and experience sharing on air quality modeling in Europe and North America [1]. Within this context multi-model ensemble has been exercised proving to be very instrumental for a number of applications (e.g. [2]). In this work we explore the capabilities of neural networks to combine model results and improve ozone predictions, under current and future scenarios, over the European region. The ability of neural networks to account for both nonlinear input-output relationships and interactions between inputs has made them popular in areas where model interpretation is of secondary importance to predictive skill. The possibility to improve the predictive capabilities of the existing models has fundamental implications both on the model forecasting ability necessary to sketch future scenarios and on legislation to regulate the impact of air quality
A multi-dimension framework for value creation through Big Data
No full textBig Data represents a promising area for value creation and frontier research. The potential to extract actionable insights from Big Data has gained increasing attention of both academics and practitioners operating in several industries. Marketing domain has become from the start a field for experiments with Big Data approaches, even if the adoption of Big Data solutions does not always generate effective value for the adopters. Therefore, the gap existing between the potential of value creation embedded in the Big Data paradigm and the current limited exploitation of this value represents an area of investigation that this paper aims to explore. In particular, by following a systematic literature review, this study aims at presenting a framework that outlines the multiple value directions that the Big Data paradigm can generate for the adopting organizations. Eleven distinct value directions have been identified and then grouped in five dimensions (Informational, Transactional, Transformational, Strategic, Infrastructural Value), which constitute the pillars of the proposed framework. Finally, the framework has been also preliminarily applied in three case studies conducted within three Italian based companies operating in different industries (e-commerce, fast-moving consumer goods, and banking) in the final aim to see its applicability in real business scenarios
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