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This paper aims to examine how conflicting brand preferences between a social group and an individual may lead the individual to hide their consumption. Specifically, the authors examine the conditions under which hiding behaviour is most likely to occur and the impact of susceptibility to interpersonal influence on the decision to hide.

Two experiments were conducted using a combination of student and adult samples. Analysis of variance and regression analyses were used to test the hypotheses.

Findings suggest that individuals are most likely to hide their consumption behaviour when group sanctions for non-conformity are severe, but the likelihood of being caught is low. Further, individual differences in susceptibility to interpersonal influence are found to affect individuals’ decisions to hide their consumption behaviour.

By identifying hidden consumption behaviour as a possible response to preference conflict, this research contributes to the literature on social influence and extends our understanding of how consumers behave when influenced by social group pressure.

The present work establishes hiding behaviour (a concept which has yet to be thoroughly explored in the literature) as an alternative yet viable response to preference conflict.

This research examines the effects of winning–losing perception, generated from success and failure results, on consumers’ risk preference.

Using different manipulations of success and failure and different measurements of risk preference tendency, the authors conducted five experiments to carry out the research.

Using different manipulations of success and failure and different measurements of risk preference tendency, five experiments were conducted to demonstrate that a clear success increases consumer’ sense of power, which in turn raises their subsequent risk preference; a clear failure, however, decreases consumers’ sense of power, which in turn reduces their subsequent risk preference. Furthermore, a close result can moderate this effect; that is, the difference between narrow-winners and narrow-losers’ risk preferences is weakened.

This study further enriches the research on the impact of winning–losing perception on individuals’ behavior and provides suggestions on how to use the results of online and offline competitions to carry out marketing activities.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

Most decision-making problems in construction are complex and difficult to solve, as they involve multiple criteria and multiple decision makers in addition to subjective uncertainties, imprecisions and vagueness surrounding the decision-making process. In many instances, the decision-making process is based on linguistic terms rather than numerical values. Hence, structured fuzzy consensus-reaching processes and fuzzy aggregation methods are instrumental in multi-criteria group decision-making (MCGDM) problems for capturing the point of view of a group of experts. This chapter outlines different fuzzy consensus-reaching processes and fuzzy aggregation methods. It presents the background of the basic theory and formulation of these processes and methods, as well as numerical examples that illustrate their theory and formulation. Application areas of fuzzy consensus reaching and fuzzy aggregation in the construction domain are identified, and an overview of previously developed frameworks for fuzzy consensus reaching and fuzzy aggregation is provided. Finally, areas for future work are presented that highlight emerging trends and the imminent needs of fuzzy consensus reaching and fuzzy aggregation in the construction domain.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

The aim of this paper is to study the economic effects of risk attitudes, time preferences, trust and reciprocity and to compare natives and second generation migrants.

This paper is based on the IZA Evaluation Dataset, a recently collected survey of a representative inflow sample into unemployment in Germany. The data include a large number of migrant‐specific variables as well as information about economic preferences and attitudes. This allows an assessment of whether and how unemployed second generation migrants differ from unemployed natives in terms of economic preferences and attitudes.

Differences are found between the two groups mainly in terms of risk attitudes and positive reciprocity. Second generation migrants have a significantly higher willingness to take risks and they are less likely to have a low amount of positive reciprocity when compared to natives. It was also found that these differences matter in terms of economic outcomes, and more specifically in terms of the employment probability about two months after unemployment entry.

The findings offer interesting perspectives, e.g. with regard to the design and targeting of active labor market policy. It may be reasonable to specifically focus on less risk averse individuals with measures such as job search requirements and monitoring.

This paper provides novel and direct evidence on the relationship between economic preferences, attitudes and labor market reintegration of natives and second generation migrants.

There is strong excitement during Ponzi schemes and financial bubble periods. This emotion causes investors to turn to “unknown and new investment instruments”. This study, the factors that made “unknown and new investment instruments” preferable to “known and experienced investment instruments” were investigated.

It was taken into account unconscious like phantasy, emotional like emotional intelligence, both affective and cognitive like financial literacy and subjective beliefs like trust and overconfidence. In addition, risk preferences were measured with four different risk variables. In this context, data were collected by online survey method between November 2020 and May 2021 with convenience sampling. First, the data were collected from 832 participants in the pilot study. Additional data were also collected using convenience sampling and online surveys, and a total of 1,692 participants were obtained. Data were analyzed using Statistical Package for the Social Sciences (SPSS) 25 and AMOS 24.

As a result of the analyses made, the variables that lead investors to choose “unknown and new investment instruments” were determined as risky investment intention, phantasy, risk taking/risk avoidance, confidence, risk tolerance and subjective financial literacy. Trust and risk perception have a very weak effect on preferences. However, no effect of emotional intelligence and objective financial literacy was detected. In addition, a moderately positive and significant relationship was found between objective and subjective financial literacy. Subjective financial literacy was found to have a strong and significant relationship with emotional intelligence, confidence, trust, risky investment intention and phantasy.

This study investigates the factors underlying individuals' investment preferences from a broad perspective. We think that this study is unique in this structure and wide variables. We believe that the findings obtained in this manner are unique to both academics and practitioners. We also believe that the findings of the study will make an important contribution to understanding participation behavior in various Ponzi schemes and financial bubbles.

The paper is aimed to obtain a clear understanding of influence factors that can increase the possibility to be business angels (BA).

This study develops the 3A model in the Chinese context to design questionnaire, and 334 questionnaires are obtained via focus group sample and targeted snowball approach, and the multinomial logit analysis is used to test a serious of hypotheses.

The paper confirmed that the entrepreneurial experience and wealth are determinants of investment for potential BA, and the wealth have both directly and indirectly positive influence on investment activity through risk preference, namely that richer people prefer risk which impel them to invest as BA.

There are two limitations in the paper: first, the macro environment in China has not been taken into consideration in the model; second, the source of the sample focuses on the developed cities in the middle and eastern of China, only reflect the characteristic of angels in these areas, which may somewhat diverges from the reality.

The paper would contribute to form the policy which could promote the development of angel investment in China.

This paper conducts a preliminary exploration of the factors that have impact on Chinese BA' investment activity based on current research.

Charitable lotteries represent one of today's most popular fund-raising schemes. This study begins by developing theory examining the optimal design of a charitable lottery. We show that any prize distribution is only optimal for a group of n symmetric agents with given risk preference. However, there exist multiple prize distributions that generate contributions approaching the optimal level over a range of individual risk posture. We test our theory using a battery of experimental treatments. Our results suggest that lotteries dominate the voluntary contribution mechanism (VCM) in terms of total dollars raised. Moreover, the performance of lotteries weakly depends on individual risk preference.