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Global reach, together with rapidly increasing broadband coverage, makes the internet a potentially interesting distribution channel for video highlights and full-match viewings. This study investigateswillingness to pay as well as consumer preferences for type of report to derive marketing implications for soccer clubs. Survey results from more than 12,000 respondents supporting seven soccer clubs in the German first and second divisions underline the potential of this new distribution channel in finding a high average willingness to pay.

The purpose of this paper is to understand consumer preferences for green vehicles with low fuel consumption and emission. It will examine six important vehicle attributes, including fuel efficiency and CO₂ emissions, and determine the impacts of increasing demand for green attributes on the domestic car industry in Sweden.

Responses to an adaptive choice-based conjoint experiment from a sample of 100 residents in Northern Sweden were analyzed using monotone regression and market simulation.

The authors found that consumer preferences were sensitive to changes in fuel efficiency and emission levels. However, engine power was the most important attribute for existing owners whereas price was the most important one for potential customers, while both market segments valued emission more than fuel efficiency. Also, the domestic producer will benefit from both an increase in market size and market share if all new vehicles have higher fuel efficiency but its market share will decrease if all new vehicles have lower CO₂ emissions.

Although promoting green vehicle purchase is beneficial for the environment, policy makers also need to balance this benefit against any potential adverse effect on the domestic industry and the economy. This study will provide evidence-based recommendations to increase the share of green cars in new vehicle purchase, and thus contribute to improving the environment. Moreover, it will also predict the changes in the market shares of different vehicles, and the potential impact on the domestic automobile manufacturing sector and the economy.

This study will contribute significantly to the understanding of consumer preferences by exploring the preferences of a sample of consumers from a country with a well-established alternative fuel and green car market but has adverse weather and driving conditions and a domestic automobile manufacturing industry. It will also examine the differences in preference between existing owners and potential green car buyers. Finally, it will simulate the effects of changing fuel efficiency and emission levels on consumer utility and preference shares to predict changes in market share of different vehicles, and thus the potential impact on the domestic automobile manufacturing sector and the economy.

This study aims to enhance the understanding of competency requirements of supply chain planners and analysts (SCP&As) and identify different personal preferences of hiring managers toward job candidates’ competency profiles.

A total of 243 supply chain managers with hiring experience participated in an adaptive choice-based conjoint experiment to uncover the relative importance of six competency attributes, namely, analytical and problem-solving ability, interpersonal skills, general management skills, computer/IT skills, supply chain management (SCM) knowledge and industry experience.

SCM knowledge and analytical and problem-solving ability were identified as the most important competencies and were considered three times more important than general management skills. Based on convergent cluster and ensemble analysis, two types of hiring managers were identified. The first group is characterized by a pronounced preference for job candidates with extensive SCM knowledge. In contrast, the second group’s members prefer candidates with a more balanced competency profile.

The authors’ findings help companies to facilitate a better person–job fit, a key determinant of employee performance and job satisfaction.

In the real estate industry, as well as in other mature markets, producers seek to improve their comparative advantage by correctly addressing the needs and expectations of future users; when projects involve public financial investment (e.g. public/private partnerships), such participation may help to legitimate resource allocation. In this respect few quantitative approaches, affiliated to the study of demand, are able to evaluate the trade‐off that is given between the preferences of individuals when they are faced to choose a single alternative, as is usual in real estate and urban projects. The purpose of this paper is to report the initial results of a research study with the objective of investigating the extent to which techniques used in the design of goods and services could be used to consider future users' preferences on the design processes of real estate developments, such as those promoted by public‐private partnerships in which the inclusion of people's opinion become central for commercial and political reasons.

This article seeks to evaluate the extent to which conjoint analysis, a technique affiliated with designing goods and services through future user/consumer participation, may be used as a support tool in making real estate decisions. This method, born out of the field of marketing analysis, is based on choice experiments and the results are analyzed with conventional multinomial regression models, and can be rooted in “characteristics theory of value” and “behaviorism”.

The results suggest that although this method is helpful in finding the relative relevance of each of the attributes in the projects evaluated, it is not sufficiently clear to: determine the attributes to evaluate; understand the deep reasons motivating preferences; or anticipate future needs that go unnoticed by potential users/buyers in their everyday perceptions. Therefore, this technique is far superior to typical evaluation surveys on independent attributes. However, it is insufficient in the context of intrinsically complex processes.

Although intensively used in the design of short‐life consumption services and products, conjoint analysis has been scarcely used on long‐life goods such as urban premises; in this article this technique is used for first time in the framework of a type of public/private brownfield redevelopment project in Catalonia.

To minimize customer churn, many service providers offer consumers the option of automatic contract renewal at the end of a contract period. Such agreements are known as rollover service contracts (RSCs). This research quantifies the effect of RSCs and other related factors, such as incentives, on consumers' service choice decisions.

The study adopts choice-based conjoint analysis to assess the effect of RSCs on consumers' choices and to determine whether effect size varies when selecting a cell phone network or gym/leisure club provider, which represent lower-priced utilitarian and higher-priced hedonic services.

It was found that RSCs produce negative perceptions and intended behaviors for the majority of consumers across different product types. Nevertheless, as explained by social exchange theory, many individuals may be persuaded to enter into a RSC on the basis of reciprocity if they are offered an incentive such as a price discount or free product add-on.

In the marketing domain, this is the first comprehensive study to quantify the role of contract type among a range of other factors in consumers' decision-making when selecting a service. The authors' results offer context-specific implications for service marketers. First, RSCs are perceived more negatively in high-priced hedonistic categories, especially among those with lower incomes. Second, price discounts are more effective than product add-ons for motivating hedonic purchases, while product add-ons work better with utilitarian services.

The purpose of this paper is to determine the rate difference required to persuade Islamic banking customers to switch to conventional banks.

A choice-based conjoint analysis survey was administered to 300 UAE Islamic banking customers. Customer utilities for Islamic and conventional banks, products and prices were developed to test hypotheses while a market simulation estimated the impact of rate changes on choice shares.

Overall, Muslim customers of Islamic banks strongly preferred Islamic banks and products. However, 43 percent were willing to switch to conventional banks to obtain better rates. Indeed, the share choosing conventional banks rose from 25 percent when rates were the same to 68 percent when conventional products offered 2 percent better rates.

This research requires replication and extension in appropriate contexts such as Malaysia and Indonesia. Moreover, the existence of price sensitivity tiers implies underlying benefit segments that should be studied.

As so many Islamic banking customers would switch to conventional banks for better rates, it seems that conventional banks compete with Islamic banks for most clients. Islamic banks should price accordingly.

This is the first study to quantify the loyalty of Islamic banking customers in terms of price and, consequently, the first to demonstrate the existence of price sensitivity tiers. It is also the first in this field to apply conjoint analysis and market modeling.

This study aims to investigate age and gender differences in young consumers’ attribute preferences that underlie their choice decisions. This research proposes and finds that attribute preferences are moderated by age but not gender. Understanding how children at different ages evaluate a product’s attributes is essential to new children’s product development.

Hierarchical Bayesian choice-based conjoint analysis was used to assess attribute importance via a series of choice tasks among children and adults. Adults completed the study by survey, whereas children were interviewed and led through the choice tasks.

This research finds that the preference structure for a product’s attributes differs systematically based on the age of children. Younger children chose based on perceptually salient attributes of a product, whereas older children chose based on cognitively salient attributes. When children’s attribute preferences are compared to adults, older children value attributes more similarly to adults than younger children. While gender differences were proposed and found, further analysis indicated that these differences were driven by adults in the sample and that no gender differences existed in the children’s age categories.

This study is the first to study children’s preference structure in complex choices with different ages preferring different attributes. By using conjoint analysis, this research is able to understand children’s underlying decision process, as utility scores are obtained providing a level of precision for understanding the underlying process of children’s choices that other studies have not used.

The purpose of this study is to examine the impact of key decision-making attributes on consumers’ choice of accommodation among and between hotels and Airbnb.

The study used a choice-based conjoint approach using 21 key decision-making factors that impact consumers’ choice of accommodation across five segments ranging from economy to luxury. Latent class estimation was used to identify segments of respondents who tend to have similar preferences for accommodation.

The results showed the presence of a consistent pattern of decision-making across the five accommodation segments, culminating in a hierarchy of importance in accommodation choice. The 21 key decision-making attributes comprised three tiers in order of decreasing importance: quality and service, amenities, and accessibility and safety. Further, latent class analysis indicated the presence of a hotel group and an Airbnb group of customers, which allowed us to identify how both types of providers might maximize the value of their offers to encourage customer switch.

The accommodation landscape is extremely dynamic (particularly as the COVID-19 pandemic unfolds) and complex. The present study cannot capture all of its intricacies but provides an invaluable foundation for future research on the topic of consumer choice in an evolving and competitive accommodation market.

Extant research on accommodation choice has focused on hotels or Airbnb only. Moreover, research that has considered both types of accommodation simultaneously is limited in its conceptual and methodological scope. The present study synthesizes the fragmented literature on consumers’ accommodation choices and offers a holistic and coherent schematic – the hierarchy of importance in accommodation choice – that can be used by future researchers and practitioners alike.

The purpose of this study was to explore the relative importance of various attributes (i.e. the total cost of attending, conference organizer, publishing opportunities for an academic career and personal development, reputation as measured by the number of conferences held, location and size) in terms of their ability to impact the decision of attendees in their selection of which academic conference to attend.

Conjoint analysis was used to examine the relative importance of various attributes to impact an attendee’s decision to select an academic conference (i.e. the total cost of attending, conference organizer, publishing opportunities for an academic career and personal development, reputation as measured by the number of conferences held, location and size).

The choice-based conjoint analysis revealed that the most crucial attributes for attending an academic conference were the total cost of attending the conference (28% of relative importance) and the conference organizer (28%).

Since the total cost of attending a conference is one of the top two attributes, conference organizers should reduce the costs as much as possible. Recommendations include choosing a university venue instead of a hotel or conference center and offering multiple options for registration passes (i.e. one-day pass). However, organizers should be careful about meals provided during the conference program, as meals have a positive effect on attendees’ decisions.

This study introduces to the literature a new indicator for selecting an academic conference – the reputation of the conference as measured by the number of times it had been held. In previous studies, this variable was not considered in the context of selecting an academic conference.

Judgments and decision are central to entrepreneurship, but capturing them empirically is challenging. Shepherd and Zacharakis (1997) addressed this challenge by identifying metric conjoint analysis as an experimental method capable of capturing the decision policies of actors engaged in entrepreneurial task, creating a “window of opportunity” for entrepreneurship research. On the twentieth anniversary of this chapter, the authors reflect on the impact the ideas had on their own work and careers, while, at the same time, address the possibility that the “typical” conjoint study may have reached the end. From this platform, the authors identify unknown attributes, interactive effects, rich media, mixed methods, and sophisticated data analysis as potential pathways by which conjoint analysis can continue to advance understanding of entrepreneurship. Their conclusion is that when coupled with impactful research questions, innovative uses of conjoint analysis have an important role to play in the future of entrepreneurship research. Hence, the authors believe that Dean A. Shepherd’s and Zach Zacharakis’s bold effort will continue as a quintessential resource for those researchers who wish to tap the mind of entrepreneurs, investors, and other key actors as they traverse the journey of business venturing.