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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.

The organic food sold in China can bear organic labels from different countries/regions. The purpose of this paper is to assess the trust and preferences of consumers for tomatoes carrying these different labels.

The data came from real choice experiments conducted in Shandong Province, China. A mixed logit model was used to analyze consumer willingness to pay (WTP).

Results indicated that, among the four organic labels considered in this study, the highest WTP was expressed for organic label from the European Union, followed by Hong Kong’s organic label, Japanese organic label and, lastly, by the Chinese mainland organic label. Consumer trust has a positive effect on their WTPs for the four organic labels. Providing consumers with information on organic can significantly lift their WTPs, and reduce the gaps between WTPs for different organic labels.

This research is of academic value and of value to food suppliers. International food marketers are recommended to equip their products with proper organic labels and initiate additional consumer education.

This paper aims to examine people's preferences for alternative cyclone vulnerability reduction measures in cyclone prone areas of Bangladesh.

A choice experiment (CE) method has been implemented based on the pressure and release (PAR) vulnerability model. Data were collected from a sample of households in two districts of Bangladesh in winter 2008.

The results of a choice experiment (CE) method conducted in selected areas of Bangladesh prone to cyclone hazards indicated that access to resources is viewed as the most influential factor in cyclone vulnerability reduction options. Findings support the pressure and release model (PAR) of vulnerability analysis. Access to training and education and cyclone warning systems are also found to have significant impacts on households' choices of cyclone vulnerability reduction. Structural mitigation measures and access to power and decision making, though significant, were found to have the least impact.

The paper shows that the choice experiment method is a good technique for understanding people's preferences for vulnerability reduction measures.

The paper concludes with a policy recommendation for governmental and non‐governmental agencies to focus on vulnerability reduction measures that tackle the root causes of vulnerability.

This is the first time that the choice experiment method has been used for cyclone vulnerability analysis, and it provides quantitative supports for the PAR model.

In this chapter, we support that pricing carbon emissions policies in aviation might have a lower than expected impact on aviation activity, if such policies are accompanied by investments in environmental technology and an adequate communication strategy by the airlines, which eliminates information asymmetries. Furthermore, we suggest that firms' environmental strategies might be an important advantage in competition. Using orthogonal design techniques, we developed a binary choice experiment, in which carbon emissions are presented to 338 German respondents among other choice-related attributes. Estimating several binary logit models, we are in a position to compute the air travelers' willingness to pay (WTP) for carbon emissions reductions. Findings suggest that passengers consider carbon emissions in their individual airline (itinerary) choice decision, if they receive the corresponding information. We also show that the passengers' WTP for carbon emissions reductions is in line with recent estimates on marginal damage cost. Furthermore, we find that WTP increases for passengers with high environmental sensitivity, whereas it decreases for frequent flyers. Investments in environmental technology and airline commitment for environmental-related firm policy positively influence the passengers' choices. It appears that the average passenger is more sensitive to environmental issues and is willing to pay more for environmental protection than industry officials or policymakers presume.

Unsafe food consumption results in adverse health conditions, foodborne illness and undernutrition among households and communities. The consumption of food contaminated with harmful microorganisms or with harmful pesticide residuals results in adverse health conditions and undernutrition. However, there are a number of challenges to maintaining food safety in the food systems of developing countries, like Nepal, where awareness of food safety is low and research on these issues is lacking.

We conducted an experiment among youth aged between 20 and 26 years in Nepal to assess their food safety awareness and affinity to safer fresh produce choices. In the classroom setting experimentations with and without information nudges conducted among 224 youth participants, participants chose one fresh produce packet among the four. We analyzed results using multinomial and mixed logit models appropriate for discrete choice modeling.

We found that the youth’s perceived higher importance of sustainable food systems and their knowledge levels on microbial contamination and foodborne illnesses play significantly positive roles. The likelihood of choosing microbial safety-labeled fresh produce or both microbial- and chemical safety-labeled fresh produce increased with nudging among those who have some knowledge of microbial contamination and foodborne illnesses – we found that the interaction of nudging and level of knowledge is significantly positive. Youth belonging to higher income classes do not necessarily have a higher affinity to safer fresh produce but with nudging, the higher income class youth have a higher likelihood of choosing safer fresh produce choices.

Youth engagement and their awareness of food safety could be one of the important strategies to potentially develop them as effective promoters, adopters and educators in enhancing food safety in food systems in Nepal. Our predicted premium for food safety attributes points to the potential scope for the emerging market segment or business opportunities augmenting food safety in Nepal.

We examined the factors influencing the safer fresh produce choices among youth in Nepal. We tested whether awareness levels of microbial contamination and foodborne illness and information nudging affect the likelihood of safer fresh produce choice. Then we predicted the willingness to pay (premium) for safety attributes. To the best of our knowledge, none of the previous studies have examined this aspect in Nepal.

While it is widely recognized that firms in an era of technological ferment exist under conditions of significant uncertainty and ambiguity, little is known about the exact processes through which firms explore their ideas and resolve uncertainty. Arguing that our understanding of the era of ferment is much less developed than other aspects of the technology life cycle, we examine the micro-dynamics of technology-based entrepreneurial firms during this period. We focus on the role of purposeful experimentation as a key form of learning for start-ups firms in the era of ferment. Our approach contrasts with the prevailing view in the literature in which the era of ferment is characterized by extensive experimentation across firms, with each firm representing a single data point in an industry-level experiment. It also extends the learning literature by focusing on start-ups and taking the perspective that learning can encompass purposeful experimentation as well as local search and chaotic adaptation in the era of ferment. Building on the literature on experimental design, we propose a definition and taxonomy of purposeful experimentation. The taxonomy defines the experimental landscape as having three domains – technological, product and business model; and two dimensions – degree of simultaneity and degree of parameter manipulation. We examine this framework using data from a technology-based start-up and find evidence for purposeful experimentation as a key element of the firm’s learning strategy. We also highlight the organizational constraints and challenges that are associated with experimentation. Our findings emphasize the importance of entrepreneurial action, choice and internal experimentation processes.

Operatic events are an important sector of the performing arts industry and are currently facing the challenges of decreasing demand and price-based competition from other sectors of the performing arts industry. It is posited that adding value and ensuring satisfaction may enhance consumer loyalty, and therefore, the likelihood of sales and continued subscriptions may be increased. The purpose of this paper is to examine bundling as a marketing management technique for opera companies and hypothesises that offering attractive “package deals” that bundle various benefits with the seat ticket may increase participation and loyalty.

A discrete choice experiment with opera patrons is used to evaluate the application of bundling to improve increased demand and loyalty.

It is concluded that offering bundles creates a greater likelihood of customer satisfaction and favourable behavioural intentions, which may lead to increased loyalty. Participants expressed strong support for value-added elements. Such package deals included a variety of elements: opportunity for a visit backstage to meet the cast, informative introductions to operas and facilitated parking options. Consumers’ level of overall willingness to purchase a bundle was altered based on the attributes that made up that bundle. The findings of this research confirm that the theory of bundling can be applied to arts marketing and provides support for the development of bundling strategies to enhance opera attendance.

It is recognised that the research needs to be tested in different countries in order to know the extent to which the findings of this study can be generalised. Additionally, future research could use other statistical methods such as regression and structural equation modelling to holistically model behaviour. Finally, as well as testing customer-stated intentions, the model also needs to be tested with actual patronage behaviour following the development and application of bundling strategies. Future research could also consider how bundling and other aspects relating to opera attendance could be used as part of the branding strategy associated with opera attendance; in particular how to develop, increase and maintain loyalty and therefore brand resonance in opera attendees.

The findings have useful implications for event organisers and policymakers and suggest bundling strategies that could be utilised. It is has been found that loyalty can be enhanced by adding value and ensuring satisfaction, and therefore, increase the likelihood of sales and repeat purchase.

Opera represents a significant cultural heritage and is a valuable component of the performing arts, both historically and currently. Opera is a form of art whose survival is threatened by an increasingly diminished audience whose average age is steadily increasing. This decrease in audience attendance has led to radical changes in the management and marketing of opera houses, where theaters have moved increasingly towards a business-oriented model where improved branding and bundling strategies can be utilised.

This makes a theoretical contribution by advancing performing arts research and furthering the notion that bundling can increase the likelihood of opera attendance, satisfaction, ongoing loyalty, and also addresses a managerial need of an arts marketing organisation.

To evaluate the comparative effectiveness of perceptions‐based market segmentation strategies: to what extent do consumers' choice rules and the distinctness and variability of consumer preferences determine the success or failure of PBMS strategies?

The computer simulation is run on an artificial consumer market. Its firm and consumer agents enjoy a certain extent of autonomy and a limited capability of learning. Strategies for incorporating the choice information into the firms' segmentation schemes, consumers' brand choice rules, initial preference patterns and their variability over time are factors in the experimental design.

The market factors “brand choice rule” and “distinctness” and “adaptivity” of preferences significantly influence the profit performance of the segmentation and positioning strategies. The distinctness of the initial pattern of consumer preferences turns out to be least influential while the choice rule is most important.

Computer simulation cannot replace analyses of real‐world data. When, however, advanced explanatory models are made to fit to empirical data the results sometimes are disappointing (and then do not get published). Computer simulation on artificial markets assists in exploring the reasons for success or failure.

Boundedly rational consumers; product classes which are technologically homogeneous and subject to communications‐driven differentiation; consumer preferences that are directly inaccessible and must be inferred from actual brand choice; consumers' perceptions and preferences evolving over time are realistic settings.

Controlling for conditions such as the consumers' choice rules and the distribution and variability of preferences in real markets demands a prohibitive research effort. No empirical study so far has tried to systematically relate the profit performance of marketing strategies to choice rules and preference distinctness and variability.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

Fatigue effects related to answering a sequence of choice tasks have received much scrutiny in the stated choice experiments (SCE) literature. However, decision fatigue related to the time of day when respondents answer questionnaires has been largely overlooked in this literature even though time of day related fatigue effects are well known in the psychology literature. The purpose of this paper is to hypothesize that variations in the time of day when respondents answer an online food choice experiment will translate into observable fatigue effects in the food choices.

An empirical SCE concerning food choices is conducted using a web-based questionnaire for interviews in a pre-recruited online panel of consumers. Timestamps collected during the online interviews provide knowledge about the time of day at which each respondent has answered the survey. This information is linked with knowledge from a food sociology survey on typical meal times as well as biophysical research linking food intake to blood sugar and mental energy in order to generate a proxy variable for each respondent’s level of mental energy when answering the food choice tasks in the questionnaire.

Results show evidence of a time of day effect on error variance in the stated food choices as well as the subsequently estimated market share predictions. Specifically, respondents provide less consistent answers during the afternoon than at other times of the day.

The results indicate that time of day can affect responses to an online survey through increased fatigue and correspondingly less choice consistency. Thus, especially online surveys might account for this in data analysis or even restrict accessibility to the online survey for certain times of day.