291 research outputs found
A market for digital privacy: consumers' willingness to trade personal data and money
No full textThis paper analyzes the trade-off consumers face between monetary benefits and personal data disclosure. We use survey data from Norway to study respondents’ willingness to share data in exchange for a discount (WSD) and to pay to keep data private (WPP) for a list of personal data often exchanged online. Additionally, we study the effects of various consumer demographics and attitudes on WPP and WSD. We find that WSD and WPP change for different personal data. WPP is lower than WSD for low-sensitivity data, such as age. WSD increases when the data are used for personalization and when users interact with institutions they trust. WPP is higher than WSD for data personally identifying a respondent, such as pictures. Providing paid privacy protection for these data is a valuable service. Financial institutions and mobile operators are better positioned than others to offer this service. Younger respondents show a higher WPP
DESIGN RE-ACTION. Da Officina Elettrica a Museo del Design: il nuovo polo culturale della collezione ADI - Compasso d’Oro a Milano.
No full textThis paper analyses the regeneration process of an urban complex in Milan that now houses a museum dedicated to industrial design. The space, subject to progressive transformations in use—from a horse-drawn omnibus depot to an Edison power plant—represents an emblematic example of an urban palimpsest intertwining two centuries of productive and cultural history. After a long period of neglect in the late 20th century, the area was reclaimed through a museum project that enhances the large industrial spans by hosting the permanent collection of the Compasso d'Oro, the oldest international design award, which saw its “cradle” in industry. Through research conducted on unpublished archival sources, the study investigates strategies for repurposing abandoned production spaces and their conversion into places of design culture. This project reveals principles that are useful for understanding the role that contemporary museography can play in restoring meaning and function to former industrial contexts, helping to redefine the relationship between the memory of work and cultural production
Influence of Technology and Ripening on Textural and Sensory Properties of Vacuum Packaged Ewe’s Cheese
No full textThe effect of curd cooking temperature (40 and 42°C), pressing, and ripening on textural and sensory properties of
vacuum packaged semi-cooked ewe’s milk cheese was studied. Chemical and microbiological analyses, colour, texture,
and sensory characteristics were determined. Curd cooking temperature and pressing influenced aw, moisture and saltin-
moisture content. Texture parameters were partially modified by pressing. On the contrary, cooking temperature
resulted mainly in changes of cheese colour. Storage time was the most important factor in changing cheese characteristics,
including sensory characteristics, whereas an increase of bitter aftertaste was observed during storage, likely
due to packaging in a plastic pouch
Paesaggi Interrotti. La rigenerazione del bacino di travertino di Tivoli e Guidonia Montecelio
No full textIl seguente contributo, nato nell’ambito del Dottorato di ricerca in Infrastrutture e Trasporti, svoltosi presso la Facoltà di Ingegneria Civile e Industriale, Sapienza Università di Roma, affronta il complesso tema della rigenerazione delle cave dismesse considerate come i paesaggi della memoria, elementi rappresentativi del
territorio, testimonianze della storia dell’economia locale, intono ai quali spesso sono state edificate estese aree industriali e residenziali, come nel caso del bacino estrattivo di travertino situato tra i comuni di Tivoli e Guidonia Montecelio. La correlazione di tale ambito con i centri abitanti ed elementi naturalistici di pregio, come il sistema idrico delle acque Albulae e il fiume Aniene pone l’urgenza di pianificare delle azioni di recupero che permettano di trasformare il bacino estrattivo da cesura territoriale a riconnessione ambientale e paesaggistica.The following contribution, born as part of the Doctorate in Infrastructure and Transport of the Faculty of Civil and Industrial Engineering of the La Sapienza University of Rome, addresses the complex theme of the regeneration of disused quarries considered landscapes of memory, representative elements of the territory, witness to the history and the local economy, around which large industrial and residential areas have often been built, as in the case of the travertine quarry located between the municipalities of Tivoli and Guidonia Montecelio. The correlation of mining sites with inhabited centers and valuable naturalistic elements, such as the Albulae watershed and the Aniene river, makes it urgent to plan recovery actions that allow the transformation of the extraction basin from territorial rupture to environmental and landscape reconnection
Metodi multi-blocco per analizzare il gradimento dei consumatori di alimenti
No full textToday's researchers easily gather large amounts of data of different origin and type. In sensory and consumer studies the objective is the collection of data to better understand consumer behavior in the market. Statistical methods are thus necessary to identify the relevant information and draw the best possible conclusions from such complex data sets.
In experimental sensory and consumer studies, information about different product attributes, many consumer characteristics and consumer acceptance or preference can be collected. Well-known statistical methods are used to reveal important information from multivariate data tables. These methods can, for example, identify key product attributes that determine which food people like. In many cases, anyway, one is also interested in more complex relations, such as the relations between different consumer characteristics and between consumer characteristics and acceptance. Another example is the relation between sensory and additional product attributes for the insight into drivers of liking. New method development is thus needed for combining or decomposing high order data tables in order to reveal the new types of underlying phenomena for the purpose of data analysis and prediction.
In this thesis a number of tools, so-called multi-block methods, are presented and discussed in order to handle multiple blocks of data arisen from experimental sensory and consumer studies. Some of the methods can be considered as extensions and some others as combinations of well-known statistical techniques. Their use is beneficial when analysing different types of data sets and when measurements can be organised in conceptually meaningful blocks. An example of such a natural division into blocks may be data of different properties considered on the same set of objects (e.g. sensory and chemical attributes of products; consumer habits and attitudes). Multi-block strategies are here developed with the aim of improving knowledge on the consumer acceptance of food products, by means of different types of product attributes and/or consumer characteristics. When product, consumer and acceptance data are included in one single study, the different dimensionality between blocks will be the main issue. In addition, a deep understanding of consumer acceptance requires insight into average acceptance patterns and individual differences. Consumer heterogeneity and strategies for segmenting the population of consumers are thus investigated throughout the thesis. The multi-block methods proposed in the present thesis are clear, easy to reproduce in standard software packages and flexible in their use. Results show the potential of these methods for the understanding of consumers in general and for improved insight into consumer individual differences. This is important for products development, successful marketing strategies and other practical implications for the industry.Dagens forskere samler lett inn store mengder data av ulike typer. I sensorikk- og forbrukerstudier er målsettingen med datainnsamlingen å få bedre forståelse av forbrukerens oppførsel i markedet. Statistiske metoder er nødvendige for å avdekke relevant informasjon og trekke best mulige konklusjoner fra slike komplekse datasett.
I sensorikk- og forbrukerstudier kan for eksempel informasjon om ulike produktegenskaper, forbrukerkarakteristikker og forbrukeraksept eller preferanse, samles inn. Det finnes etablerte statistiske metoder for å avdekke viktig informasjon i multivariate datasett. Disse metodene kan for eksempel identifisere viktige produktegenskaper som avgjør hvilken mat folk liker. I mange tilfeller er man i tillegg interessert i mer komplekse sammenhenger, for eksempel mellom ulike forbrukerkarakteristikker og mellom forbrukerkarakteristikker og aksept for et produkt. Et annet eksempel er sammenhengen mellom sensorikk og produktegenskaper for å få innsikt i hva som gjør at man liker produktet. Utvikling av nye metoder er derfor nødvendig for å kombinere og bryte ned komplekse data, for å avdekke nye typer underliggende fenomener.
I denne avhandlingen blir en rekke statistiske verktøy, såkalte multiblokkmetoder, presentert, og anvendelser på data fra sensorikk- og forbrukerstudier blir diskutert. Metodene er utvidelser og kombinasjoner av velkjente statistiske teknikker. Multiblokkmetodene er nyttige når man skal analysere data som kan ordnes i begrepsmessig meningsfulle blokker. Et eksempel der man kan ordne dataene i slike naturlige blokker er der ulike egenskaper blir vurdert på samme objekt (for eksempel sensoriske og kjemiske egenskaper hos produkter, og holdninger og vaner hos forbruker). Multiblokkstrategiene er her utviklet med mål om å få økt kunnskap om forbrukeres aksept av matvarer, ved hjelp av ulike typer produktegenskaper og/eller forbrukerkarakteristikker. Når data om produkt, forbruker og aksept er inkludert i en enkelt studie, blir ulik dimensjon mellom blokkene hovedutfordringen. En dyp forståelse av forbrukeraksept krever i tillegg innsikt i både gjennomsnittlige akseptmønstre og individuelle forskjeller. Uensartethet mellom forbrukerne og strategier for segmentering av forbrukerpopulasjonen er derfor et gjennomgående tema i avhandlingen. Multiblokkmetodene som blir lagt frem i denne avhandlingen er tydelige, fleksible, og lar seg utføre med standard softwarepakker. Resultater viser potensialet til disse metodene for å forstå forbrukere generelt, og få bedre innsikt i individuelle forskjeller mellom forbrukere. Dette er viktig for å utvikle produkter, skape vellykkede markedsstrategier, og andre praktiske implikasjoner for industrien
Aspetti dell'industrializzazione ad Aosta: il quartiere Ansaldo-Cogne
No full textIn Aosta, the decision to build a neighbourhood for the workers, employees and managers of the Ansaldo steel company followed a very specific logic. The choice of location was determined by the need to avoid any contact between the industrial and residential areas: the new neighbourhood was located in a healthy area to the west of the established city. The project was based on the identification of distinct groups of buildings for different categories of workers. Few buildings remain from the original construction programme, which was not implemented due to the crisis that hit the company, and the final layout is the result of a process that lasted about half a century and wiped out almost all of the original principles. The area has been progressively occupied by low-cost housing built by entities such as the IACP and various cooperatives, despite its proximity to the “historic centre”, maintaining its character as a working-class suburb over time
Single event transient reliability analysis on a fault-tolerant RISC-V microprocessor design
No full textThe miniaturization of electronic devices and the improved operating speeds increase the likelihood of single event faults. Differently from Single Event Upset (SEU) faults, Single Event Transient (SET) faults generally affect combinational logic, making all voting systems vulnerable to errors. The proposed work uses an ad-hoc fault-simulation campaign employing signal glitching to identify SET vulnerabilities inside a RISC-V core already equipped with resilience logic against Single Event Upset (SEU) faults. The faults target the majority voting logic structures, highlighting how they can be susceptible to faults depending on the width of the injected pulses, and showing how the use of Buffered Triple Modular Redundancy (BTMR) allows decreasing the total failure probability due to erroneous majority voters. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Handling of individual differences in rating-based conjoint analysis
No full textIn this paper a method for handling individual differences in conjoint analysis is described and discussed. This method is a combination of ANOVA and PCA/PLS both of which are well-known techniques that can be run in almost all statistical software packages. Main attention will be given to the way individual differences in acceptance pattern are interpreted and related to consumer characteristics such as demographics, attitudes and habits. The approach is then illustrated using two data-sets from consumer studies of yoghurt and apple juice
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