1,721,034 research outputs found

    La competitività degli ecosistemi multi-locale di servizio: il caso dei servizi turistici.

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    Abstract The increased diversity of demand for tourist services and the growing global competition require continuous rethinking of the trade-off between specialization and breadth of the offer for the management of the tourist service "long tail". This makes clear the need to (re)define the concept of competitiveness of tourist destinations and its drivers, including consideration of a demand characterized by an increasing variety and differentiation, whose satisfaction requires the aggregation of different components of offer, also multi-local. It is know that the competition in the tourism sector does not only occur between individual players/locations, but increasingly between multi-territorial systems whose competitiveness can not be assessed as a simple sum of "individual quality ", but as an " aggregated or added quality" greater than their linear summation, the level of which comes from the consistency of quality system and quality of each service. Touristic multilocal ecosystems (TmLES) can take different levels and size depending on the competitive position sought and that is at an intermediate level between the country system(macro-area) and the touristic destination (micro-area). In this contest the companies must be able to act transversely between micro systems, namely the individual enterprise or network, and meso systems, such as multi-local territorial systems, using new strategic and operational analytical tools, which in particular enhance the quality and positioning of individual components, but also (and above) of the total of "multi-local ecological system". This thesis examines these issues, reassembling the main contributions of the literature in aintegrated model for the analysis of competitiveness of TmLES, introducing as an additional driver of the tourist competitiveness the ICT. This model has been given a more complex mathematical structure by using the Instrument for Structural Equation Modelling. This methodology allows, starting from the assessment of key stakeholders, to determine a variable called "Competitiveness", which is quantitatively observable and comparable. The model is tested through an empirical application in reference to Lake Garda aimed ESTmL to highlight the major competitive drivers and any multilocal gaps

    Creatività ecologiche e innovazioni emergenti nel turismo

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    La crescente complessità dei contesti competitivi richiede ai diversi competitor la capacità d’individuare e soddisfare nuovi «vuoti d’offerta con politiche di posizionamento e ri-posizionamento continuo ed adeguate strategie di creative marketing. Ciò al fine di rispondere meglio dei concorrenti alle aspettative dei diversi segmenti di utenti finali anche e soprattutto attraverso una più sostenibile e diffusa interazione con questi. Tali aspetti emergono con particolare intensità nel settore del turismo nel quale le risorse naturali (endowed) e quelle create proprie della «destinazione turistica» non sono più di per se sufficienti per affrontare le nuove dinamiche competitive, qualora non «attivate» e gestite in modo creativo, dai singoli operatori, dal sistema e dallo stesso utente-consumatore. Da qui l’esistenza di diversi modelli creativi e di diverse forme d’offerta (d’impresa, di network, di sistema e locale), ottenibili disaggregandone (unbundling) e ri-aggregandone (bundling) le diverse componenti dentro ed attraverso nuovi sistemi multi-territoriali e multi servizio

    La competitività dinamica degli ecosistemi territoriali : il caso degli eco-sistemi turistici multilocali tra Italia e Svizzera

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    Obiettivo del paper: Questo paper si propone di analizzare in ottica “eco-dinamica territoriale” i driver emergenti della competitività dei sistemi d’impresa. Le risorse naturali, economiche e sociali proprie dei diversi sistemi territoriali locali e multilocali ed il loro sviluppo integrato assumono in effetti una crescente centralità negli attuali processi competitivi. Metodologia: Considerando i precedenti studi sulla competitività territoriale e turistica, è proposto un modello strategico-ecologico elaborato attraverso lo strumento statistico della SEM. Tale modello che riprende la logica della “costellazione del valore” mette in luce come tutte le risorse e attività debbano interagire al fine di rendere competitivo un ecosistema multi-territoriale. Risultati: Tale modello risulta efficace nel determinare i driver della competitività degli ecosistemi multilocali, facendo emergere anche una relazione tra le loro “performance competitive” ed eventuali Gap tra risorse possedute e attivabili. Limiti della ricerca: Il modello si basa su valutazioni degli stakeholder e dunque potrebbe essere “viziato” da fattori soggettivi e tuttavia “compensato o attenuato” nei grandi numeri. Sarebbe inoltre opportuno ripetere la ricerca in diversi contesti e diversi periodi. Implicazioni pratiche: Nel paper si propone un’applicazione empirica del modello all’Eco-Sistema del lago di Garda e a quello del Ticino, dal quale emergono indicazioni di marketing e di policy territoriali e multiterritoriali. Originalità del lavoro: L’introduzione di un modello eco-dinamico per valutare l’efficiente utilizzo delle risorse territoriali, considerando oltre ai tradizionali fattori competitivi anche Internet ed in particolare le opportunità offerte per sviluppare relazioni tra imprese, sistemi e territori e tra questi e i consumator

    Bigger, better, faster, more! How to increase the intensity and relevance of the technological progress of European regions

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    This work contributes significantly to previous research on the relationship between specific features of a regional knowledge space and the technological progress of the region. In particular, the main element of originality of this work is to have isolated the determinants of the technological progress intensity on the one side and those of the technological progress relevance on the other side. We acknowledge the importance of knowledge assets for new knowledge production, and we identify path-dependent processes that allow a region to become increasingly competitive in terms of innovation potential. In particular, adopting an evolutionary view of regional development, we describe the regional knowledge space through four crucial characteristics: 1) technological knowledge base, 2) technological cumulativeness, 3) technological diversification, and 4) technological relatedness. We then measure to what extent each of the knowledge space’s characteristics differently affects the technological progress intensity and relevance of the region. A longitudinal study of 269 European regions over the period 1996-2012 was organized using data from the REGPAT and Eurostat databases. Our results show that the factors influencing the innovation intensity are not the same as those affecting the innovation relevance, except for technological relatedness. It appears, in fact, that technological relatedness is the key factor influencing the technological progress of regions, measured either in terms of intensity or in terms of relevance. Finally, implications for EU policies supporting and stimulating regional technological progress are discussed

    Internationalization of SMEs: a path analysis between learning processes and business performances

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    This research focuses on the relationship between internationalization, learning process and business performance of SMEs. SMEs’ internationalization is an extended phenomena. SMEs are becoming aware of the strategic importance of extending their market and their relationships across national boundaries. Network and knowledge based perspectives suggest internationalization does not affect only short time performance but enhances management of organizational processes, competences and internal resources (learning by exploitation), allows to increase the network density, to acquire new knowledge and new opportunities (learning by exploration). A path regression model is used to assess international involvement effectively enhances business performance and competitiveness by affecting the organizational learning process and dynamic capabilities in the long run

    Measuring the effects of knowledge accumulation and technological space relatedness on innovation performance of European regions

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    This work contributes significantly to previous research on the relationship between specific features of a regional knowledge space and the technological progress of the region. In particular, the main element of originality of this work is to have singled out the determinants of the technological progress intensity and relevance. We acknowledge the importance of knowledge assets for new knowledge production, and we identify path-dependent processes that allow a region to become increasingly competitive in terms of innovation potential. In particular, adopting an evolutionary view of regional development, we describe the regional knowledge space through four crucial characteristics: 1) technological knowledge base, 2) technological cumulativeness, 3) technological diversification, and 4) technological relatedness. We then measure to what extent each of the knowledge space’s characteristics differently affects the technological progress intensity and relevance of the region. A longitudinal study of 269 European regions over the period 1996-2012 was organized using data from REGPAT and Eurostat databases. Results show that technological relatedness affects positively both the intensity and relevance of the technological progress of European regions and that the other components of the knowledge space show a different impact on the two features of the technological progress. Finally, implications for EU policies supporting and stimulating regional technological progress are discussed
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