Search results

The purpose of this paper is to examine the mechanisms by which decisions about others are affected by the information known about them. The authors argue that the availability of information about deep-level attributes diminishes the role of surface-level attributes in how people make decisions about others. The authors posit that individuals will make discriminatory decisions based on surface-level attributes when only this information is available; but, as predicted by the integration-and-learning perspective, the availability of information about deep-level attributes will reduce surface-level attribute discrimination. Although discrimination will not disappear completely, it will shift its focal point toward a person’s deep-level attributes.

Data were collected from subjects in two studies, with 52 subjects in Study 1 and 230 in Study 2. Paired-samples t-test and mixed effects GLS regression were used to test the hypotheses.

When presented with surface-level attributes of a target person, subjects demonstrated discriminatory behaviors based on race and sex. However, when subjects were presented with surface-level attributes along with deep-level attributes about a target person, subjects made decisions based on deep-level attribute similarities and disregarded surface-level information.

The authors interpret the findings to mean that enhancing information about others shifts favoritism and discrimination based on surface-level attributes to “deeper” grounds.

This study demonstrates how multiple identities and values that individuals possess, and of which they become aware of in others, affect decision-making behavior toward others. It elucidates the mechanisms by which providing individuals with meaningful information about others can help them overcome, or at least reduce, surface-level discriminatory decision making.

It has long been recognised that humans draw from a large pool of processing aids to help manage the everyday challenges of life. It is not uncommon to observe individuals adopting simplifying strategies when faced with ever increasing amounts of information to process, and especially for decisions where the chosen outcome will have a very marginal impact on their well-being. The transactions costs associated with processing all new information often exceed the benefits from such a comprehensive review. The accumulating life experiences of individuals are also often brought to bear as reference points to assist in selectively evaluating information placed in front of them. These features of human processing and cognition are not new to the broad literature on judgment and decision-making, where heuristics are offered up as deliberative analytic procedures intentionally designed to simplify choice. What is surprising is the limited recognition of heuristics that individuals use to process the attributes in stated choice experiments. In this paper we present a case for a utility-based framework within which some appealing processing strategies are embedded (without the aid of supplementary self-stated intentions), as well as models conditioned on self-stated intentions represented as single items of process advice, and illustrate the implications on willingness to pay for travel time savings of embedding each heuristic in the choice process. Given the controversy surrounding the reliability of self-stated intentions, we introduce a framework in which mixtures of process advice embedded within a belief function might be used in future empirical studies to condition choice, as a way of increasingly judging the strength of the evidence.

The analysis of consumer behaviour requires the consideration of various processes internal and external to the individual. To understand behaviour, it is necessary to examine the complex interaction of many influencing elements. This study deals with determinants of behaviour, culture and reference group influences, the relationships between individuals and their environments, perceived risks, and family decision processes. It concludes with an illustration of tourist behaviour modelling.

A growing polarization of society accompanied by an erosion of the middle class is receiving increasing attention in recent German economic and social policy discussion. Our study contributes to this discussion in two ways: First, on a theoretical level we propose extended multidimensional polarization indices based on a constant elasticity of substitution (CES)-type well-being function and present a new measure to multidimensional polarization, the mean minimum polarization gap, 2DGAP. This polarization intensity measure provides transparency with regard to each single attribute, which is important for targeted policies, while at the same time respecting their interdependent relations. Second, in an empirical application, time is incorporated, in addition to the traditional income measure, as a fundamental resource for any activity. In particular, genuine personal leisure time will account for social participation in the sense of social inclusion/exclusion and Amartya Sen’s capability approach.

Instead of arbitrarily choosing the attribute parameters in the CES well-being function, the interdependent relations of time and income are evaluated by the German population. With the German Socio-Economic Panel (GSOEP) and detailed time use diary data from the German Time Use Surveys (GTUSs) 1991/1992 and 2001/2002, we quantify available and extended multidimensional polarization measures as well as our new approach to measuring the polarization of the working poor and affluent in Germany.

There are three prominent empirical results: Genuine personal leisure time in addition to income is an important and significant polarization attribute. Compensation is of economic and statistical significance. The new minimum 2DGAP approach reveals that multidimensional polarization increased in the 1990s in Germany.

This study aims to examine how the relative importance of a search versus a credence attribute, strategically addressed in a flu vaccination advertisement, varies as a function of message sidedness. A search attribute was designed to highlight the affordability of flu shots, and a credence attribute addressed the potential health benefits of flu vaccination.

Two experiments were designed to explore how the relative persuasiveness of search versus credence attributes varies as a function of message sidedness in the context of flu vaccination advertising. In Experiment 1, the search–credence attribute type was manipulated by addressing either the affordability (e.g. “Get free flu shots”) or indirect health benefits of flu vaccines (e.g. “Improve herd immunity/community health”). In Experiment 2, an individual-level credence attribute (e.g. “Strengthen your immune system”) was created and compared to the other two attribute conditions used in Experiment 1: a search versus a societal credence versus an individual credence attribute.

Experiment 1 (N = 114) revealed the relative advantage of a search attribute (free flu shots) in the two-sided persuasion. Experiment 2 (N = 193) indicated that the persuasive impact of a societal credence attribute (herd immunity/community health) was greater in the two-sided message condition (vs one-sided message condition).

Relatively little research has examined how consumers respond to strategic flu prevention and vaccination messages promoting either credence or search attributes. Motivated by the need to investigate the relative effectiveness of stressing “herd immunity” versus “free flu shots” in flu vaccination advertising, this study examines how the effects of these distinct attributes on flu vaccination judgments differ between two-sided (e.g. “No vaccine is 100% effective”) and one-sided persuasion.

Recent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.

A synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.

The implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.

The methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.

Whereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.

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.

This paper presents rESSuME: Employability Skills Social Media SurvEy, which is a tool developed to understand if and how employers screen candidates’ social media (SM) to identify personal employability attributes. In doing so, the purpose of this paper is to shed light into the potential mismatch between the personal purpose of SM and recruiters’ job-related use of this data.

rESSuME maps personal employability attributes to elements of Facebook (FB). It was delivered to 708 employers in the UK and the USA. The 415 completed surveys were statically analysed.

More than 75 per cent of those surveyed use FB to screen most candidates. Loyalty and reliability are the personal attributes employers most search for. They look for personal attributes examining posts, comments and photos. Country and gender differences are also reported. While in the USA, they focus on determining whether candidates have good appearance, in the UK they are more interested in gauging if candidates are reliable. Females are more concerned with establishing whether candidates display common sense than their male counterpart.

This work is the first to articulate a rationale and systematic approach to screen candidates’ SMPs to: identify personal employability attributes and systematically map personal attributes to features of FB. Thus, it contributes a novel, systematic and structured tool to do so: rESSuME. It is the largest study with recruiters to date and the first to provide empirical evidence on how candidates’ SMPs are screened: what personal employability attributes do recruiters looked for in SMPs; and what sections and features of FB do recruiters looked at to identify the candidates’ personal employability attributes.

This article presents a comprehensive and qualitative review of how levels of analysis issues have been addressed in the diversity and demography literature. More than 180 conceptual and empirical publications (i.e. book chapters and journal articles) in this field are reviewed and coded regarding the specific incorporation of levels of analysis in theory and hypothesis formulation, representation of levels of analysis in measurement of constructs and variables, appropriateness of data-analytic techniques given the explicit or implied levels of analysis, and alignment between levels of analysis in theory and data in regard to drawing inferences and conclusions. Although the body of diversity and demography literature continues to grow, levels of analysis issues are rarely considered. Only a few reviewed studies address levels of analysis issues in theory development, and no reviewed studies employ appropriate multi-level data analytic techniques. Implications for future research are discussed, and recommendations for incorporating levels of analysis into diversity and demography research are provided.

This study aims to examine the effect of faultline based on job responsibility and their interaction with the incentive scheme on knowledge-sharing behavior.

This research is an experimental study with a 2 × 2 factorial design between subjects. Faultline and incentive schemes are manipulated into two groups (strong faultline–weak faultline and group incentive–individual incentives). This study involved 89 undergraduate accounting students as participants.

This research shows that a strong faultline created a strong social identity effect. Hence, the knowledge-sharing behavior among group members tends to be lower than the weak faultline. Knowledge-sharing behavior tends to be higher in group incentive schemes than individual ones. However, there is no support for interactions between incentive schemes and faultline effects on knowledge-sharing behavior. The results indicate that forming a working subgroup based on informational characteristics attributes reduces cooperative behavior and knowledge sharing between groups.

This study adds a new addition to faultline literature by examining the effect of faultline and incentive schemes on knowledge-sharing behavior based on informational characteristics attributes. Previous research on faultline and knowledge sharing was limited and primarily focused on faultlines created by demographic attributes. This study also enriches faultline literature on knowledge-sharing behavior using an experimental design.