1,721,153 research outputs found

    I viaggi d'affari delle imprese italiane nel 2014

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    Nel 2014 i viaggi d’affari delle imprese italiane crescono del 3,1%. La crescita è forte soprattutto verso le destinazioni Europee (+5,2%) ma a sorprendere è il +2,5% del mercato nazionale perchè inverte una prolungata fase di contrazione non ostante il quadro macroeconomico stagnante. In ottica pluriennale il dato 2014 riporta il numero di viaggi al livello del 2011 – quando si è materializzata la “double deep recession” dell’economia italiana – e rafforza la tendenza positiva del trend di lungo periodo sostenuto strutturalmente dalla spinta alla delocalizzazione della nostra industria. La spesa per viaggi d’affari sale a 19,1 miliardi di euro, in crescita del 2,1%. Il risultato è frenato dalla contrazione dei prezzi del trasporto sul mercato internazionale. Questo cresce dell’1,6% a fronte del 3,0% del mercato nazionale. L’analisi settoriale evidenzia la crescita del solo terziario in concomitanza sia con l’impennata delle trasferte “più costose”, intercontinentali e per visitare fiere o convegni, sia con l’aumento della durata delle trasferte e del costo del biglietti del trasporto nazionale

    Improving performance measurement and benchmarking in the accommodation sector

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    Purpose – The aims of the paper are to evaluate the relevance of environmental factors (seasonality, size and quality) on hotels’ performance and benchmarks; to measure the bias in efficiency resulting from a failure to control for these sources of heterogeneity; and to propose some managerial policies to handle for environmental heterogeneity. Design/methodology/approach – The sample is constituted by 2,705 hotels operating in Emilia-Romagna (Italy). The metafrontier approach is used to identify the different production processes and measure technical efficiency scores. Findings – Different production processes exist among accommodation firms due to environmental features; not considering heterogeneity in technological sets produces high levels of bias in the efficiency measurement, albeit the ranking of hotels tends to be fairly consistent; the star rating is the primary source of efficiency bias followed by seasonality, while size has a minor impact. Research limitations/implications – Future research could be directed to analyse the relevance of environmental heterogeneity in other areas; study the dynamics; investigate agglomeration effects; and use other methodological tools. Practical implications – The analysis proposes new managerial interventions: targeted strategies to different groups; creation of networks of enterprises, clustered mainly in respect to size for highly rated enterprises and seasonality for low-rated enterprises; and incentives to annual hotels and raise in the product quality. Originality/value – This paper simultaneously considers several environmental factors affecting heterogeneity in hotel production processes; investigates the effect of heterogeneity on either the efficiency scores or the ranking of hotels; and focuses on micro, low-quality or seasonal hotels

    Measuring underreporting in accommodation statistics: evidence from Italy

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    The aim of this letter is to provide a new measure of the underreporting of accommodation statistics in Italian domestic tourism. The analysis employs information from different official surveys. Following the Eurostat recommendations, we compare the Italian trips and holidays surveys and the Movements in accommodation establishments, the two major official sources on tourism in Italy and on the activities of persons travelling, respectively. The analysis shows that demand-side estimates exceed accommodation statistics by 16%, on average, over the period 2007-2009 and that the underreporting rate is variable over time. The results highlight the need to explicitly consider this measurement error when analysing the tourism business cycle, forecasting tourism flows and defining tourism policy

    I viaggi d'affari delle imprese italiane nel 2010

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    Il lavoro misura e analizza viaggi d’affari di un ampio campione di imprese, stratificato per dimensione e settore produttivo, fornendo informazioni statistiche sulle dinamiche del mercato italiano del business travel. La peculiarità – unica nel panorama nazionale – di considerare i viaggi d’affari come un consumo intermedio delle aziende, permette anche di focalizzarsi su alcuni importanti aspetti statistici che riguardano le modalità di gestione interna di questa importante voce di spesa per le aziende italiane

    Importance bias in business hotel quality surveys: the role of travelers’ heterogeneity

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    Thanks to a wide survey, recording business travelers’ perceived overall hotel quality, importance and performance of room and bathroom, external services and personnel, this work aims at investigating whether socio-demographic, trip and business-related variables influence an eventual tendency of respondents to over/understate the importance of hotels’ attributes. Moreover, we test the dependence of the interviewees’ evaluations of the importance of each of the three mentioned aspects on both the overall satisfaction and the perceived performance with the corresponding aspect, highlighted by the extant literature. In addition, we empirically verify if the importance statements for each aspect are affected by both the importance and the performance of the other hotel’s attributes. Results indicate that the differences in importance statements between individuals with certain characteristics, taking business trips with determinate features, can be ascribed to differences in their tendency to state higher or lower importance values, than they actually conceive, that is explained by these characteristics and features. Furthermore, findings concerning room and bathroom and external services point out that the response bias is negatively correlated with the overall satisfaction and directly related to the performance of both the personnel and the attribute itself. This evidence disconfirms the thesis that the poor performance of an attribute makes it more important in the perception of the customer. For all the aspects, the bias is positively influenced by the importance of the other attribute

    Studying Russian individual consumption in small areas of the Emilia Romagna Region

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    Policy makers ask for spatially detailed statistical information in the assessment of the tourism impact, often asking for ad-hoc surveys for gathering additional information. To design marketing strategies and to foster the development of tourism destinations, these information should be provided with respect to the characteristics generally recognized as main determinants of individuals’ behaviour spending: socio-economic, demographic, psychographic and behavioural variables. In this chapter, we adopt data gathered from the National Frontier Survey and made available by Banca d’Italia to deliver estimates of average individual expenditure by tourist nationality, adjusting for trip-related variables, in small areas of the Emilia Romagna Region, with particular focus on Russian tourists. A Bayesian approach is adopted in order to manage estimation based on small sample sizes by borrowing strength in space and time. The approach appears promising in small area estimation for producing the spatially detailed information sought by policy makers

    Developing a composite indicator of resident well-being: the case of the Romagna area

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    There is a growing literature on the assessment of quality of life conditions and well-being in geographically and/or politically divided areas.. The paper proposes a new measure of well-being based on residents‟ satisfaction with specific life domains, leisure activities and satisfaction with life as a whole. The well-being index is constructed using a Weighted Sum Model, where the weights are calculated by DEA

    Reverse engineering the last-minute on-line pricing practices: an application to hotels

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    We suggest a nonlinear time series methodology to model the (last-minute) price adjustments that hotels active in the online market make to adapt their early-booking rates in response to unpredictable fluctuations in demand. We use this approach to reverse-engineer the pricing strategies of six hotels in Milan, Italy, each with different features and services. The results reveal that the hotels’ ability to align lastminute adjustments with early-booking decisions and account for stochastic demand seasonality varies depending on factors such as size, star rating, and brand affiliation. As a primary empirical finding, we show that the autocorrelations of the first four moments of the last-minute price adjustment can be used to gain crucial insights into the hoteliers’ pricing strategies. Scaling up this approach has the potential to equip policymakers in smart destinations with a reliable and transparent tool for the real-time monitoring of demand dynamics

    Integrating narrow and wide framing disposition effect: A novel approach incorporating perceived risk and realized asset performance

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    This paper proposes an integrated framing approach to investigate the disposition effect by linking it to regret and prospect theory. We build upon the wide framing hypothesis and extend prior research by including metrics of perceived risk and the number of days stocks are at a gain. Using a sample of 24 million trading operations conducted by nearly 4,000 Italian investors from 2010 to 2018, we demonstrate that investment decisions are influenced not only by portfolio aggregate performance but also by asset trading history and perceived volatility. Our results align with several theoretical frameworks that could explain the disposition effect, such as mental accounting, prospect theory and regret aversion. Furthermore, by incorporating both narrow and wide framing factors, along with their interactions, our approach provides a more comprehensive understanding of the disposition effect
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