Search results

Ticket sales are an essential source of income for football clubs and federations. Analyzing the determinants of fans' willingness-to-pay for tickets is therefore an important exercise. By knowing the match- and fan-related characteristics that influence how much a fan wants to pay for a ticket, as well as to what extent, football clubs and federations can modify their ticket offering and targeting in order to optimize this revenue stream.

Using a detailed discrete choice experiment, based on McFadden's random utility theory, this paper formulates a Bayesian hierarchical multinomial logit model. Such models are very common in the discrete choice modeling literature. The analysis identifies to what extent match and personal attributes influence fans' willingness-to-pay for games of the Belgian men's and women's football national teams.

The results show that the strength of the opponent, the type of competition, the location of the seats in the stadium, the day and kick-off time of the match and the ticket price exert an influence on the choice of the respondent. Fans are attracted most by competitive games against strong opponents. They prefer to sit along the sideline, and they have clear preferences for specific kick-off days and times. The authors also find substantial variation between socio-demographic groups, defined in terms of factors such as age, gender and family composition.

The authors use the results to estimate the willingness-to-pay for match tickets for different socio-demographic groups. Their findings are useful for football clubs and federations interested in optimizing the prices of their match tickets.

To the best of the authors' knowledge, no stated preference methods, such as discrete choice analysis, have been used to analyze the willingness-to-pay of sports fans. The advantage of discrete choice analysis is that options and variations in tickets that are not yet available in practice can be studied, allowing football organizations to increase revenues from new ticketing instruments.

This study investigates an approach to book metrics for research evaluation that takes into account the complexity of scholarly monographs. This approach is based on work sets – unique scholarly works and their within-work related bibliographic entities – for scholarly monographs in national databases for research output.

This study examines bibliographic records on scholarly monographs acquired from four European databases (VABB in Flanders, Belgium; CROSBI in Croatia; CRISTIN in Norway; COBISS in Slovenia). Following a data enrichment process using metadata from OCLC WorldCat and Amazon Goodreads, the authors identify work sets and the corresponding ISBNs. Next, on the basis of the number of ISBNs per work set and the presence in WorldCat, they design a typology of scholarly monographs: Globally visible single-expression works, Globally visible multi-expression works, Miscellaneous and Globally invisible works.

The findings show that the concept “work set” and the proposed typology can aid the identification of influential scholarly monographs in the social sciences and humanities (i.e. the Globally visible multi-expression works).

In light of the findings, the authors outline requirements for the bibliographic control of scholarly monographs in national databases for research output that facilitate the use of the approach proposed here.

The authors use insights from library and information science (LIS) to construct complexity-sensitive book metrics. In doing so, the authors, on the one hand, propose a solution to a problem in research evaluation and, on the other hand, bring to attention the need for a dialogue between LIS and neighbouring communities that work with bibliographic data.

More than ever before, public transit must compete in the transport market. This competition is, on the one hand, against steadily increasing car traffic; and on the other hand, between public transit operators. This, in turn, leads to new demands regarding the type, content and quality of data needed for planning and management. Frequently, traditional travel behaviour surveys do not provide sufficiently accurate and detailed information about public transit demand. To plan public transit, frequently a precise description of all trip stages, including the first and the last mile, is necessary. To achieve this, an adaptation of the traditional survey methods is necessary. In many countries, public transit associations have been established to integrate services offered by individual public transit operators with the help of through-ticketing and a coordination of lines and timetables into what looks, to the user, like a single system. To distribute revenue among the operators involved, detailed surveys of passengers are needed. Measuring the quality of public transit service and surveying customer satisfaction are new tasks. Such data are the basis for quality assurance and are essential for gaining and keeping customers of the public transit system. New technologies such as the Global Positioning System, automated passenger counts and Smart Card Payment Systems offer new possibilities to collect data more efficiently and cost-effectively. This article covers essential aspects of surveys and the collection of data that are crucial for the planning and management of public transit; it points to state-of-the-art methods and offers potential solutions.

The main aim of our study is to demonstrate that the Italian way to marketing included not only the “advertising artists” but also what can be labelled as the social network approach, which was mainly used by cooperative enterprises. Focussing on the case study of the Granarolo co-operative, the paper discusses the social network method of marketing as it emerged during the 1950s and 1960s in Italy.

The research draws on different types of primary sources, including co-operative business records, interviews, publications, newspaper articles and advertisements.

In the age of mass consumption, the Granarolo co-operative developed an original marketing strategy based on social networks. This strategy can be considered a kind of community brand based on shared values pre-existing to the brand itself and a kind of viral marketing put in place before the electronic revolution.

The research focusses on the Granarolo case study. It can be extended to other co-operative enterprises. However, it is unknown whether the anticipation of viral marketing has also been used by private enterprises.

The marketing strategies analyzed in the paper could be a interesting solution for undertakings strictly connected and rooted in their local community or in their Web community.

In today’s world of the Web, this physical constraint no longer exists, and the social method of marketing exceeds the regional and even the national level. In conclusion, this was an innovative method of marketing and advertising that came into being, ahead of its time, about a half a century before modern Web-based social networks were conceived, yet uses the same concepts, hence its extraordinary originality.

This study is the result of an original research which tries to highlight what we could label the Italian way to marketing. Taking into consideration the first two decades of the Granarolo history and focussing on the marketing strategy, our contribution seeks to examine how the social networks approach worked and in what it differs from today brand community and viral marketing.