Does more mean better? Exploring the relationship between report completeness and environmental sustainability

Calabrese*, A., Costa*, R., Levialdi*, N., Menichini**, T., Villazon Montalvan*, R.A.
*Department of Enterprise Engineering, University of Rome Tor Vergata, via del Politecnico 1, Roma, Italy; **Engineering Department, University “Niccolò Cusano”


Sustainability
Volume 12, Issue 24, 2020, 10635

Abstract
The reliability of sustainability reporting can impact sustainable development and should provide relevant information to financial analysts, investors, and other stakeholders by reducing information asymmetry between them and management. Nevertheless, its utility is often undermined by a lack of the disclosure information’s trustability.
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Predicting the future success of scientific publications through social network and semantic analysis

Fronzeti Colladon*, A., D’Angelo**, C.A., Gloor, P.A
*Department of Engineering, University of Perugia, ** Department of Enterprise Engineering, University of Rome “Tor Vergata”, ***MIT Center for Collective Intelligence, Cambridge


Scientometrics
124, 2020, Pages 357–377

Abstract
Citations acknowledge the impact a scientific publication has on subsequent work. At the same time, deciding how and when to cite a paper, is also heavily influenced by social factors. In this work, we conduct an empirical analysis based on a dataset of 2010–2012 global publications in chemical engineering.  Leggi il seguito

Assessing travelers’ safety and security perception in railway stations

Coppola, P.*, Silvestri,F.**
*Department of Mechanical Engineering, Polytechnic of Milan; **Department of Enterprise Engineering, University of Rome Tor Vergata


Case Studies on Transport Policy
Volume 8, Issue 4, December 2020, Pages 1127-1136

Abstract
In this paper a method is proposed to assess the safety and security perceived by travelers in the railway stations and an application to the case study of the (medium size) station of Frosinone, Italy, is presented.
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Environmental and economic analysis of FDM, SLS and MJF additive manufacturing technologies

Tagliaferri*, V.,Trovalusci*, F., Guarino**, S.,Venettacci**, S.
*Department of Enterprise Engineering, University of Rome Tor Vergata, via del Politecnico 1, Roma, Italy; **Engineering Department, University “Niccolò Cusano”


Materials
Volume 12, Issue 24, 2019, 4161

Abstract
In this study, the authors present a comparative analysis of different additive manufacturing (AM) technologies for high-performance components. Four 3D printers, currently available on the Italian national manufacturing market and belonging to three different AM technologies, were considered.
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The competition among mobile network operators in the telecommunication supply chain

Livio Cricelli, Michele Grimaldi, Levialdi Ghiron

International Journal of Production Economics

Abstract:  In the mobile telecommunication sector, the high competitiveness has increased the complexity of strategic interactions among operators. As the vertical integration has become anything but a choice and not a compelling technical solution, the contest takes place at different levels of the components of the operator value chain: the network infrastructure, the service development and supply, and the relationship with consumers.

Mobile virtual network operators act as retailers and concentrate on the last segment of the value chain by establishing commercial agreements with hosting network operators, which act as manufacturers, to get access to radio communications infrastructure. Productive processes of mobile services offered by operators are different and this difference is imperceptible to customers. Processes difference mainly consists in the infrastructural diversity of the operators and implies different consequences on each network service element.

A model has been defined to analyze the consequences of such diversity in the competition among HNOs, MNOs, and MVNOs by focusing the attention on the characteristics of the call path, in dependence of the types of operators. In fact, many variables interact to define the call path, such as marginal costs and revenues, infrastructural investments, and interconnection charges among operators. The analysis of the results, obtained by the model, gives information on variations of retail prices, market shares, and profit allotment, to adopt the proper strategies. In particular, the model results shed light on how certain MVNOs should enter the markets and adopt a collaborative strategy with HNOs. The model owns the capability of being applied to different contexts, thus representing for the regulator a potential instrument of relevant usefulness.

The power of the arts in business

Carlucci, D. , Schiuma, G.

Journal of Business Research

Abstract : This paper aims to define the position of the role of the arts for management in today’s business landscape. Therefore, it addresses why the arts are relevant in the new business age and how they can drive the management innovation.

It discusses why the arts, from an instrumental and utilitarian point of view, matter in business and defines the conceptual background explaining how the arts can be adopted by organizations for management purposes. The focus is not on a specific art form, but on the arts, in general, considering the arts as a management resource and source for organizational development. © 2017 Elsevier Inc.

A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment

Armando Calabrese, Guendalina Capece, Roberta Costa, Francesca Di Pillo, Stefania Giuffrida

Journal of Informetrics

Abstract: The knowledge production provided by universities is essential to sustaining a country’s long-term economic growth and international competitiveness. Many nations are thus driving to create sustainable and effective funding environments. The evaluation of university knowledge, productivity and research quality becomes critical, with ever increasing share of public funding allocated on the basis of research assessment exercises. Nevertheless, the existing methods to assess the universities’ knowledge production are often affected by limits and biases, extensively discussed in the scientific literature.

In this paper we study how to reduce the effect of size-related bias due to university size on the indicators of knowledge performance used in evaluation exercises. We propose an innovative utilization of the scale-free property of the power laws as a scaling relationship, to normalize research productivity indicators, and provide results independent by the university size. Our method has evident policy implications and gives a contribution for the future design of assessment exercises.

A chance constrained optimization approach for resource unconstrained project scheduling with uncertainty in activity execution intensity

Lucio Bianco, Massimiliano Caramia, Stefano Giordani

Computers & Industrial Engineering

Abstract: We study the problem of scheduling project activities with precedence constraints and unlimited resources. The latter problem, with the objective of minimizing the completion time of the project and deterministic activity durations, is known to be polynomially solvable. In the case of stochastic durations, the objective becomes to determine the project makespan distribution which is a #P complete problem. The most common technique used in this case is PERT. However, it is known that PERT tends to underestimate the expected makespan of the project. In our work, we try to overcome this shortcoming by considering a stochastic formulation of the problem, exploiting the activity execution intensity as a stochastic variable, and a chance constrained optimization approach. The main hypotheses under which our model works are essentially two: one is to have a sufficiently large time horizon for the project and the second, differently to what happens for the durations of the activities in the PERT model, is to assume a Beta probability density function for the activity execution intensity variables. The first hypothesis appears to be realistic since, when time horizon is large, stochastic factors tend to come into play in every decision problems; the second hypothesis, is realistic as well, since a minimum and a maximum value exist for the stochastic variables used in our model. Experimental results and a comparison with the PERT model and a Monte Carlo simulation are presented.

The measurement of degree of servitization: literature review and recommendations

Armando Calabrese, Nathan Levialdi Ghiron, Luigi Tibuzi

Tim Baines Aston Business School, Birmingham, UK

Abstract: This study reviews systematically the literature on the measurement of the firm-level degree of servitization. The results show that servitization measures are inconsistent across studies, even among those investigating similar research questions, and that a theoretical reference for their appropriate use is still missing. Focusing on these shortcomings, this study conceptualizes the firm-level servitization degree in three classes, i.e. ‘extension’, ‘infusion’, and ‘orientation’. Hence, measures to operationalize each class are derived from the literature review and subsequently discussed with a panel of experts. In addition, servitization measurement is further conceptualized other than firm-level degree, as a measurement at the regional, product, and individual employee levels, other than at the firm level. This study is the first to provide a systematic review on the topic and to develop a general conceptualization and operationalization of servitization measurement. Furthermore, this research is the first to employ an international standard classification of economic activities as a basis to identify objectively firms’ service offerings. This research supports both scholars and practitioners because it brings consistency across studies and applications, thus fostering assessment and comparability of servitization experiences.

The effects of gender, age and academic rank on research diversification

Abramo, G., D’Angelo, C.A., Di Costa, F.
Scientometrics
Abstract :In this work we analyze the combined effects of gender, age and academic rank on the propensity of individual scholars to diversify their scientific activity. The aspect of research diversification is measured along three main dimensions, namely its extent and intensity and the cognitive relatedness of the fields of diversification.
We apply two regression models to the dataset of scientific output of all Italian professors in the sciences over the period 2004–2008. The aim is to understand how personal and organizational traits can influence individual behaviors in terms of research diversification. Among other considerations, our findings urge caution in identifying research diversification as a co-determinant of the gender productivity gap between males and females.
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