1,720,999 research outputs found
Il paesaggio agroforestale toscano- Tra collina e pianura: cinquant’anni di evoluzione del paesaggio agroforestale ai margini delle Colline Pisane
No full textVengono illustrate le trasformazioni diacroniche (1954 - 1999) a carico di un'area agroforestale delle Colline Pisan
Supplier propensity to partnership: some empirical findings
No full textDespite a growing number of articles in recent years on buyer-supplier realtionship and on new organizational forms such as "partnership", little guidance has emerged on how to recognize partnership propensity in its early stages. The objective of this work is to analyze wheter and to what extent some "structural", "behavioral" and "cyclical" variables measured on a given supplier network, are correlated to partnership propensity with the buyer firm
Brand personality alignment and consumer engagement to define competitive positioning in online fashion communities: An interdisciplinary methodology
Full text linkNew communication challenges for companies that use social media are: 1) the knowledge and control of the degree of alignment between communicated and perceived brand personality in order to measure the effectiveness of competitive positioning, and 2) the measurement of engagement among consumers who share comments about brands in online communities. Our research proposes research tools that can help fashion companies meet these challenges. In particular, we present an innovative methodological approach that combines netnography and text-mining to extract and analyze data from online communities of fashion brands
How to measure alignment in perceptions of brand personality within online communities: interdisciplinary insights
No full textConsiderable research has been done on brand personality as a key factor in brand management, focusing mainly on how it is perceived by consumers, but without much attention to the managerial perspective. However, the latter is crucially important to ensure that the brand personality consumers perceive actually corresponds to what a company intends to communicate. This study offers an innovative methodology to achieve this dual-perspective objective, integrating notions of marketing and linguistics to investigate brand personality alignment as it emerges from authentic and spontaneous digital environments. Textual data were collected from both company and consumer web communications across a sample of 100+ fashion brands, and then processed with software to extract sets of adjectives as the expression of brand personality. The adjectives were interrelated to calculate ratios that measure (a) the degree of alignment between company-defined vs. consumer-perceived brand personality, (b) similarity in personality between brands and (c) consumer perception of similarity in personality between brands. Varying degrees of alignment were identified, suggesting differences in how effectively the companies communicate their brand personality. The combination of the ratios derived from this research process can be utilized to evaluate the strength of brand differentiation and to redefine brand communication strategies
Brand personality nelle comunità online
No full textIl paper propone un approccio metodologico che analizza la corrispondenza tra la personalità di marca comunicata dall’impresa e quella percepita dal consumatore. Applicato alle comunità online, esso si basa su tecniche di analisi linguistiche i cui risultati trovano la loro sintesi in due indicatori di match. Il primo è il CPBA (Consumer Brand Personality Alignment) ed il secondo è il CBPC (Consumer Brand Personality Coverage). La metodologia è utilizzata su 42 brand moda appartenenti al segmento premium apparel
Chiral separation of pesticides by coupled-column liquid chromatography application to the stereoselective degradation of fenvalerate in soil
No full textChiral separation of synthetic pesticides presenting more than one center of asymmetry was performed by multidimensional liquid chromatography. The method consisted of coupling two columns by means of a six‐port valve: an achiral column was used for the separation of the pesticide diastereomers, that were, then, individually switched into the chiral column and resolved as the corresponding enantiomers. In order to obtain optimum resolution conditions for pesticides existing as four (fenvalerate, propiconazole, and triadimenol) and eight (cyfluthrin) optical isomers, a number of coupled‐column systems constituted of an achiral (plain silica gel, γ‐cyanopropyl(CNP)‐, and γ‐aminopropyl(AMP)‐silanized silica gel) and a chiral [containing cellulose tris‐(3,5‐dimethylphenyl‐carbamate), (R)(−)‐N‐(3,5‐dinitrobenzoyl)‐phenylglycine(DNBPG), and (S)‐N‐1‐(α‐naphthyl) ethylaminocarbonyl‐(S)‐ter‐leucine, as the selectors] stationary phases were studied. Coupled‐column liquid chromatography (CC‐LC) proved to be a very effective strategy allowing the full resolution, with the exception of triadimenol, of all the investigated pesticides. The method was used for studying the stereoselective degradation of fenvalerate in soil under simulated laboratory conditions
Paleocarta del Valdarno: un nuovo strumento per la didattica e la ricerca
Full text linkIl bacino del Valdarno superiore è famoso per la grande quantità di resti di mammiferi che ha
prodotto fin dal Rinascimento. In questa area sono stati rinvenuti esemplari che sono stati poi
scelti come tipi di molte specie europee del Pliocene medio-superiore (~ 3 Ma) e del Pleistocene
inferiore (~ 2 - 1.5 Ma). Al fine di valorizzare tale patrimonio fossile, nasce la “Paleocarta del
Valdarno”, un progetto sviluppato dal Museo Paleontologico di Montevarchi. Il lavoro ha previsto
lo sviluppo di due carte distinte: la prima è destinata principalmente alla didattica ed alla
valorizzazione del territorio, mentre la seconda è rivolta per lo più agli specialisti, e include il
catalogo on-line dei reperti paleontologici custoditi presso il Museo. A loro volta le carte sono
suddivise nelle tre fasi di popolamento delle faune: ca. 3.0 Ma, tra circa 2.0 e 1.5 Ma e tra circa
300 e 100 ka. Per la realizzazione delle carte è stato utilizzato il software di tipo Gis “Qgis”, al cui
interno sono stati inseriti i dati relativi alle curve di livello e le suddivisioni degli ambiti comunali
tratti dal sito di informazione geografica della regione Toscana. La cartografia di base è stata
ripresa da Openstreetmap tramite il plug-in Qgis2web, utilizzato anche per l’esportazione in
formato web, per la creazione di pop-up e per le legende. La geolocalizzazione dei reperti è stata
effettuata grazie ai dati toponomastici provenienti dai cataloghi di inventario del Museo e collocati
poi nei rispettivi giacimenti tramite l’identificazione della posizione attraverso il portale RETORE, il
database Repetti On-line e la consultazione delle carte tecniche presenti nel Geoscopio.
Entrambe le tipologie di carte prodotte sono di libero accesso e consultazione, condivisibili sui
principali social network e stampabili; è stata inoltre prevista la possibilità di registrazione al
portale, allo scopo di creare un network per mettere in contatto i ricercatori
The big data-business strategy interconnection: a grand challenge for knowledge management. A review and future perspectives
Full text linkPurpose: Designing knowledge management (KM) systems capable of transforming big data into information characterised by strategic value is a major challenge faced nowadays by firms in almost all industries. However, in the managerial field, big data is now mainly used to support operational activities while its strategic potential is still largely unexploited. Based on these considerations, this study proposes an overview of the literature regarding the relationship between big data and business strategy. Design/methodology/approach: A bibliographic coupling method is applied over a dataset of 128 peer-reviewed articles, published from 2013 (first year when articles regarding the big data-business strategy relationship were published) to 2019. Thereafter, a systematic literature review is presented on 116 papers, which were found to be interconnected based on the VOSviewer algorithm. Findings: This study discovers the existence of four thematic clusters. Three of the clusters relate to the following topics: big data and supply chain strategy; big data, personalisation and co-creation strategies and big data, strategic planning and strategic value creation. The fourth cluster concerns the relationship between big data and KM and represents a ‘bridge’ between the other three clusters. Research limitations/implications: Based on the bibliometric analysis and the systematic literature review, this study identifies relevant understudied topics and research gaps, which are suggested as future research directions. Originality/value: This is the first study to systematise and discuss the literature concerning the relationship between big data and firm strategy
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