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The standard approach in measuring demand responses and consumer preferences assumes particular parametric models for the consumer preferences and demand functions, and subsequently fits these models to observed data. In principle, the estimated demand models can then be used (i) to test consistency of the data with the theory of consumer behavior, (ii) to infer consumer preferences, and (iii) to predict the consumer's response to, say, new prices following a policy reform. This chapter focuses on an alternative, nonparametric approach. More specifically, we review methods that tackle the earlier issues by merely starting from a minimal set of so-called revealed preference axioms. In contrast to the standard approach, this revealed preference approach avoids the use of parametric models for preferences or demand. The structure of the chapter is as follows. First, we introduce the basic concepts of the revealed preference approach to model consumer demand. Next, we consider issues like goodness-of-fit, power, and measurement error, which are important in the context of empirical applications. Finally, we review a number of interesting extensions of the revealed preference approach, which deal with characteristics models, habit-formation, and the collective model.

The purpose of this paper is to develop a ranking of knowledge management and intellectual capital academic journals.

A revealed preference, also referred to as citation impact, method was utilized. Citation data were obtained from Google Scholar by using Harzing's Publish or Perish tool. The h‐index and the g‐index were employed to develop a ranking list. The revealed preference method was compared to the stated preference approach, also referred to as an expert survey. A comprehensive journal ranking based on the combination of both approaches is presented.

Manual re‐calculation of the indices reported by Publish or Perish had no impact on the ranking list. The revealed preference and stated preference methods correlated very strongly (0.8 on average). According to the final aggregate journal list that combined stated and revealed preference methods, Journal of Knowledge Management and Journal of Intellectual Capital are ranked A+, and The Learning Organization, Knowledge and Process Management, and Knowledge Management Research & Practice are ranked A.

This study was the first of its kind to develop a ranking system for academic journals in the field based on the journals' citation impact metrics. This list is vital for knowledge management and intellectual capital academics for tenure, merit, and promotion decisions. It may also help them achieve recognition among their peers and colleagues from other disciplines.

The proposed ranking list may be fruitfully employed by knowledge management and intellectual capital practitioners, librarians making journal subscription decisions, academics looking for best outlets, and various academic committees.

This paper represents the first documented attempt to develop a ranking of knowledge management and intellectual capital academic journals by using the h‐index and the g‐index that reflect journal citation impact.

The assumption of free will in contemporary economics is an important starting point for socio‐economic analysis in contrast to methodologies which assume that human action is pre‐determined by forces beyond individual control. However, contemporary economic theory is devoid of choice in critical domains with important implication for economic analyses and public policy, given the ancillary assumption of the importance of market forces in determining choice behavior. The purpose of this paper is to argue that freedom of choice exists given traditional constraints such as relative prices and income.

This is a theoretical paper examining the assumption of free will in choice behaviour in economic theory. It makes reference to literature in economics and philosophy that shed light on this critical working assumption in economics.

Conventional analysis pays little heed to non economic constraints on human action that affect and delimit but do not preclude free choice or free will. Of vital importance to free will in choice behavior are institutions which delimit the extent of coercion in the decision‐making process.

An important implication for research is the determination of the necessary and sufficient conditions for the existence of free will in choice behaviour. Given the existence of free will and free choice, individuals are morally responsible for their choices. It is therefore important to determine the extent which free will exists and that which constrains free will in choice behaviour.

This paper challenges the extremes of the free will debate in economics and suggests the boundaries within which free will exists in economic behaviour. It also suggests the welfare implications of limitations on free will where no negative externalities exist.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.

The purpose of this paper is to verify the consumer preference and choice behavior; also determine the speculative low loyalty behavior of consumers belonging to generation Y sub segment – adults (age 19‐28) and their perceptions regarding various brands.

Data were collected from 100 university students in Pakistan belonging to the age group 19‐28 years old. The research was concentrated in the mobile phone service sector. Data analysis was conducted using statistical analysis software SPSS.

The results indicate that stated preference set and actual choice behavior are dissimilar. The generation Y adults sub group contra‐indicates loyalty characteristics as high in a developing market context against the established wisdom of low loyalty found in developed countries. The perceptual maps of brands indicate no distinct personality characteristics necessitating marketers to rethink their strategies in this service industry. Finally, this research reconciles the gap between loyalty, stated preference and distinctiveness of brand personalities.

One limitation pertains to the target segment of 19‐28 years old. Future research could be expanded to other demographic segments and use other products and brands.

The major contribution of this paper is that it will advance theory regarding generation‐based characteristics to a less developed economy context by verifying theoretical proposition with regard to brand preferences and revealed brand choices. Second, marketers would be able to focus their promotions keeping in mind the perception and loyalty factors.

Assesses whether consumer segments based on relational aspects, service aspects, or price aspects have different preferences concerning these three key decision‐making variables when buying a car. In addition, assesses consumer segments resulting from simultaneously incorporating relationships, service package, and price. Investigates a large sample of Mitsubishi drivers in The Netherlands emphasizing consumers’ trade‐off between dealer relationship, service package and price. Conjoint analysis showed that dealer relationships (as opposed to price) represent a very important decision‐making variable when buying a car and consumer preferences concerning relationships provide a useful instrument for segmenting markets. Cluster analyses on the basis of three aspects simultaneously revealed that some consumers do value relationships, while others emphasize the service package in their purchase, both opposed to the third segment that is most probably not inclined to be loyal to a car dealer at all. Clearly indicates that different consumer segments can be distinguished on the basis of preferences for relationships and service packages rather than on the basis of price. This knowledge enables car dealers to use their resources more effectively.

The exponential growth in the number of visitors and the mass-tourism mobility patterns in natural areas are causing serious issues such as traffic congestion, crowding in car parks, pollution, high noise levels, and traffic accidents. In order to redress this situation, demand management policies that propose more sustainable transportation systems are crucial. In this chapter, the authors summarize extensive research carried out in Teide National Park (Canary Islands, Spain), the most visited national park in Spain, one of the most visited in the world, and a clear example of a natural area under pressure from mass tourism. The authors present the current situation of the natural site and three scientific contributions based on a survey combining revealed and stated preferences that analyzes visitor preferences with regard to the use of sustainable transportation systems. The first study analyzes visitors’ preferences regarding the implementation of a public bicycle-sharing system. The second study explores visitors’ willingness to pay to reduce the environmental impact of their visit and the potential implementation of a shuttle-bus service. The third study investigates the recreational economic value of the site. The chapter provides useful information for decision-makers who need to address problems associated with the unsustainable visitor mobility and reports results that can be extrapolated to other natural parks with similar characteristics and high inflow of tourists.

This paper investigates the information dilemma in negotiations: if negotiators reveal information about their priorities and preferences, more efficient agreements may be reached but the shared information may be used strategically by the other negotiator, to the revealers' disadvantage. We present a theoretical model that focuses on the characteristics of the negotiators, the structure of the negotiation, and the available incentives; it predicts that experienced negotiators will out‐perform naive negotiators on distributive (competitive) tasks, especially when they have information about their counterpart's preferences and the incentives are high—unless the task is primarily integrative, in which case information will contribute to the negotiators maximizing joint gain. Two experiments (one small, one large) showed that the revelation of one's preferences was costly and that experienced negotialors outperformed their naive counterparts by a wide margin, particularly when the task and issues were distributive and incentives were large. Our results help to identify the underlying dynamics of the information dilemma and lead to a discussion of the connections between information and social dilemmas and the potential for avoiding inefficiencies.

This chapter uses stated tourist preferences as a proxy of visitor yield measures, in order to analyse and understand the yield potential of different markets’ preferences. A literature review revealed that there is much progress to be made in terms of discussion, consensus and stability of methodology for the measurement of visitor yield. The aim of the visitor yield analysis, in the current chapter, is also to bring another dimension into yield analysis and discussion, contributing with a new form of measuring yield potential. Since the objective is to identify yield patterns based on tourist preferences over a period of time, dynamics may be captured from the fluctuation patterns, or expressed as volatility of visitor yield and length of stay throughout the years. Destination management organisations and tourist companies may potentially adopt this visitor yield matrix in order to support future strategic decisions.