1,721,115 research outputs found
Interactive intentionality and norm formation
The paper aims at complementing Searle's social ontology with an epistemology capable of illustrating institution formation. To this purpose, I discuss Searle's conception of constitutive rules and show that it requires the specifications of normative powers and purposes identifying status functions to be taken as given. However, such specifications arise from underlying normative commitments that may be various and possibly conflicting. Hence, in order to account for the formation of institutions, it is necessary to understand how status function declarations may emerge from alternative normative commitments. I make the hypothesis of “interactive intentionality,” as an interactive and deliberative mode of practical reasoning, to describe the processes of convergence on definite constitutive rules. These processes show how interactive intentionality may frame both commitment and enforcement, thus providing some insights to make rule-based and equilibrium-based accounts of institutions epistemologically commensurable
Neogene Transpression in the Cefalù Basin (Southern Tyrrhenian): comparison between land and marine data Mem. Soc. Geol. It., 55, 27-33.
Circular economy model enhanced by intelligent assets from industry 4.0: The proposition of an innovative tool to analyze case studies
Although the circular economy (CE) is recognized as a source of value creation, there is a huge gap between the vast concept of CE and its practical applications. Particularly, the lack of information and performance indicators, in terms of economic, environmental and social aspects, does not allow for the assessment of the level of circularity of the products, processes or companies. Further development of other circular activities can be limited for this reason. In addition, intelligent assets arising with the digital transformation within the "Fourth Industrial Revolution (I4.0)" can support CE to provide these lacking aspects. Thus, the objective of this paper is to highlight how and how much the circular business models are enhanced by intelligent assets from I4.0, considering several case studies found in the literature, and through the application of an assessment tool with secondary data from the selected case studies. According to the tool, the CE principles are extended to the entire product lifecycle, from product design to product utilization, within the transition to novel business strategies. Two of the considered case studies are represented in the assessment tool, as examples, to demonstrate how intelligent assets can support circular economy in the design, assessment and comparison of circular initiatives. The visualization of existing innovative business models based on CE and enhanced by intelligent assets allows for the complete and effective evaluation of materials, products, assets and processes, due to the fact that information and indicators can be collected to measure and monitor circular efficiency
A Framework to Assess Social Indicators in a Circular Economy Perspective
The thriving circular economy is expected to contribute to all three dimensions of sustainable development: environmental, economic, and social. This paper aims to propose a framework to assess social indicators to support circular business models. To validate the framework, we conducted a case study in a medium-size Italian footwear luxury industry, using the Value Focused Thinking-VFT. This approach was used to define proper social indicators to measure the perception of the company's managers related to the level of incorporation of social dilemmas in the company. We collect data through interviews, documental analysis and direct observation from October/2019 until August/2020 and apply a questionnaire in 2020/2021. The novelty of this paper lies in the proposition of a framework to assess the social indicators in broad categories, capable of covering all supply chains: Corporation, Community; Consumers; Suppliers; Human Rights and Human Resources. Another novelty is related to the analysis of indicators in terms of strategic, tactical, and operational levels, similarly to the idea of a Balanced Scorecard, which was allowed by applying the VFT approach
Information overload and environmental degradation: Learning from H.A. Simon and W. Wenders
This paper discusses the relevance of information overload for explaining environmental degradation, insofar it can reduce individuals' awareness of the unsustainable side-effects of their choices. This “myopia” is reinforced by the increased distance from nature in everyday life brought about by the abundance of exosomatic energy. The departure point of the paper is to show that two outstanding intellectuals, engaged in very different fields, have set forth very similar reflections on the effects of information overload, namely the film director Wim Wenders and the social scientist, really a polymath, Herbert Simon, whose relevance to ecological economics has been recognised. The presentation of their ideas is then complemented by a presentation of the state of the art on information overload, which allows moving to our core argument about environmental degradation
Environmental impacts of productivity-led working time reduction
This contribution shows that a relevant curtailment of carbon emissions results from productivity-led working time reduction, i.e. increases in labour productivity converted into less working time. However, the interaction between working time reduction and GDP can constrain the achievement of emission reductions. To explore these interactions, we apply Eurogreen, a dynamic macro-simulation model, to France and compare three different scenarios: i. Working Time Reduction converts increases in labour productivity into more time affluence; ii. Global Working Time Reduction explores the effects on exports when working time reduction occurs also abroad; iii. Constrained Working Time Reduction additionally examines the impact of a binding fiscal rule. We find that the greater the performance in terms of emission reduction, the smaller the improvement in employment. Moreover, under working time reduction, changes in the sensitivity of wage to productivity growth affect the relationship between distribution and emission. The benefits in emissions reduction are still significant while the labour share increases with respect to the baseline
Private vs Public incentives: an experiment on motivation crowding and social trust. vol. Discussion papers, Dipartimento di Economia e Management – Università di Pisa ISSN 2039-1854, n. 240
Relying on a threshold public good game, we experimentally investigate the effect of two types of incentives on prosocial behaviours. On the one hand, a private type of incentive targets individuals by reducing their cost of contribution. On the other hand, a public type of incentive targets groups by providing an investment that directly support the achievement of the collective objective (i.e. the threshold in the public good game). Thus, we study how expectations on others determine the impact of incentives on prosocial behaviours and how incentives themselves affect these expectations in turn. We interpret this mutual relation as reflecting an endogenous relation between incentive provision and social trust
Multilevel public goods game: Levelling up, substitution and crowding-in effects
In an online multilevel public goods experiment, we implement four treatments where we gradually increase the marginal per capita return of the global public good. First, we find evidence of an increase in the contribution to the global good (levelling-up effect). Secondly, subjects fund their higher contribution to the global good by reducing their contribution to the local good (substitution effect) rather than by increasing total contribution, i.e., the sum of their contributions to the local and the global good (marginal crowding-in effect). Moreover, we observe that total contribution increases as a consequence of the mere introduction of the global good (categorical crowding-in effect). Finally, we observe that subjects continue to contribute to both public goods even when they are dominated in terms of costs and returns
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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