Preference Matching Research Articles

Sensory evaluation of wine through correspondence analysis: a theoretical and empirical rationale

ABSTRACTSensory evaluation in wine research focuses on understanding wine preference and choice within a holistic framework. This study offers a theoretical and empirical rationale for the sensory evaluation of wine. A precondition for sustainability and success in the market arena is a clear understanding of potential interaction of sensory evaluation properties and other factors affecting consumer choice. New approaches and methodologies for preference matching and assessment of sensory properties and information queues on overall liking are of fundamental importance for wine makers. The aim of this study is to advance the understanding of sensory evaluations affecting consumer both on empirical and theoretical grounds. For the implementation of this aim, an empirical research with real wine tasting data was conducted and analyzed through the use of Correspondence Analysis (CA). The findings of this study demonstrate that this method is more appropriate in wine sensory data analysis due to their categorical and non-parametric nature. CA is a very useful technique to establish a solid knowledge for the identification of the wines based on evidence and facts of their aromatic characteristics.

The Match of Non-Environmental Preferences of Job Interviewers and Job Applicants: A Descriptive Analysis of Natural Resource Intensive Businesses in Turkey

This study explores the extent to which the environmentally-friendly job preferences of human resource managers (interviewers) and job applicants (interviewees) match in case of Turkey’s resource-dependent business organizations. The study covers 63 human resource managers from 11 medium/large-sized businesses that have several joint-plants producing cement and variety of sorts of metal/mineral supplies in different cities in Turkey and 75 job applicants that these human resource managers interviewed. Consequently, 138 participants were asked to quantitively rank the importance of 22-item criteria when they choose where to work. The comparison of the mean scores demonstrates that both interviewers and interviewees are not that concerned with the green workplace, green business, and eco-friendliness. Rather, salary and other benefits, promotion and career opportunities, organizational reputation, and match of skills/qualifications to job requirements are found as the key factors affecting the work/job decisions of both interviewers and interviewees. Moreover, the only demographic difference is found in gender among interviewers that female managers more tend to prefer environmentally-friendly jobs/works. Emphasizing the roles of regulations and environmental standards to make business organizations greener, the study concludes with recommendations for practice within the green human resource management and green business perspective.

Field Assignment, Field Choice and Preference Matching of Ethiopian High School Students

We examined the determinants of the admittance of students into their top wished-fields of study by university students using data from Ethiopian National Educational Assessment and Examination Agency. It is based on a 2016 cohort of 41,371 applicants in Social Science and 92,135 applicants in Natural Science, who were admitted to public universities in Ethiopia. We use a binary logistic regression model applied to four broadly defined fields in Social Science streaming and found that students’ place of residence, gender, EHEECE admission grade and age of the student have a significant positive impact on the decision process towards admitting students into their top wished-fields. Results also showed that there were significant positive interaction effects of EHEECE admission grade, gender and wished-fields on the decision process. We noticed a fair selection between girls and boys into the field of Law and Theatrical Fine Art and Music. For girls the odds of being admitted into the field of Other Social Science and Humanities were relatively better than the odds of being admitted into Business and Economics. We use a polytomous logit regression model applied to seven broadly defined fields in Natural Science streaming and found no selection bias in admitting applicants into the field of first and second ordered preferences among girls and boys, whilst there were a variation among the fields ranked thereafter.

Tradeoffs Between Information and Ordinal Approximation for Bipartite Matching

We study ordinal approximation algorithms for maximum-weight bipartite matchings. Such algorithms only know the ordinal preferences of the agents/nodes in the graph for their preferred matches, but must compete with fully omniscient algorithms which know the true numerical edge weights (utilities). %instead of only their relative orderings. Ordinal approximation is all about being able to produce good results with only limited information. Because of this, one important question is how much better the algorithms can be as the amount of information increases. To address this question for forming high-utility matchings between agents in $\mathcal{X}$ and $\mathcal{Y}$, we consider three ordinal information types: when we know the preference order of only nodes in $\mathcal{X}$ for nodes in $\mathcal{Y}$, when we know the preferences of both $\mathcal{X}$ and $\mathcal{Y}$, and when we know the total order of the edge weights in the entire graph, although not the weights themselves. We also consider settings where only the top preferences of the agents are known to us, instead of their full preference orderings. We design new ordinal approximation algorithms for each of these settings, and quantify how well such algorithms perform as the amount of information given to them increases.

Interventions to Increase Depression Treatment Initiation in Primary Care Patients: a Systematic Review.

Nearly 50% of depressed primary care patients referred to mental health services do not initiate mental health treatment. The most promising interventions for increasing depression treatment initiation in primary care settings remain unclear. We performed a systematic search of publicly available databases from inception through August 2017 to identify interventions designed to increase depression treatment initiation. Two authors independently selected, extracted data, and rated risk of bias from included studies. Eligible studies used a randomized or pre-post design and assessed depression treatment initiation (i.e., ≥ 1 mental health visit or antidepressant fill) among adults, the majority of whom met criteria for depression. Interventions were classified as simple or complex and sub-classified into intervention strategies that were graded for strength of evidence. Of 9516 articles identified, we included 14 unique studies representing 16 (4 simple and 12 complex) interventions and 8 treatment initiation strategies. We found low to moderate strength of evidence for collaborative/integrated care (3 studies), treatment preference matching (2 studies), and case management (2 studies) strategies. However, there was insufficient evidence to determine the benefit of cultural tailoring (2 studies), motivation (alone, with reminders or with cultural tailoring (5 studies)), education (1 study), and shared decision-making strategies (1 study). Overall, we found moderate strength of evidence for complex interventions (8 of 12 complex interventions demonstrated statistically significant effects on treatment initiation). Collaborative/integrated care, preference treatment matching, and case management strategies had the best evidence for improving depression treatment initiation, but none of the strategies had high strength of evidence. While primary care settings can consider using some of these strategies when referring depressed patients to treatment, our review highlights the need for further rigorous research in this area.

Spectrum matching in licensed spectrum sharing

AbstractSpectrum sharing is one of the promising solutions to meet the spectrum demand in fifth‐generation networks that results from the emerging services like machine‐to‐machine and vehicle‐to‐infrastructure communication. The idea is to allow a set of entities to access the spectrum whenever and wherever it is unused by the licensed users. In the proposed framework, different spectrum provider (SP) networks with surplus spectrum available may rank the operators requiring the spectrum, called spectrum users (SUs) hereafter, differently in terms of their preference to lease spectrum, based, for example, on target business market considerations of the SUs. Similarly, SUs rank SPs depending on a number of criteria, for example, based on coverage and availability in a service area. Ideally, both SPs and SUs prefer to provide/get spectrum to/from the operator of their first choice, but this is not necessarily always possible due to conflicting preferences. We apply matching theory algorithms with the aim to resolve the conflicting preferences of the SPs and SUs and quantify the effect of the proposed matching theory approach on establishing preferred (spectrum) provider‐user network pairs. We discuss both one‐to‐one and many‐to‐one spectrum sharing scenarios and evaluate the performance using Monte Carlo simulations. The results show that comprehensive gains in terms of preferred matching of the provider‐user network pairs can be achieved by applying matching theory for spectrum sharing as compared with uncoordinated spectrum allocation of the available spectrum to the SUs.

Thermal plasticity due to parental and early-life environments in the jacky dragon (Amphibolurus muricatus).

Developmental plasticity creates marked variation in individual phenotypes when the environment is patchy, such as when the thermal environment varies. Plasticity may occur in response to the environment experienced during an individual's lifetime or to the environment experienced by parents (transgenerational plasticity), and may be adaptive if it enhances fitness. In particular, plasticity in thermal traits, such as preferred temperatures and thermal limits, may improve performance and fitness based on temperatures in the local environment. This study examined the influence of parental and offspring thermal environments (duration of access to a basking lamp) on offspring thermal traits (preferred temperatures and panting threshold) in jacky dragons (Agamidae: Amphibolurus muricatus). Long-bask parental environments led, indirectly, to higher preferred temperatures of offspring due to increased offspring body mass compared to offspring of short-bask parents. The increase in median temperature preference was associated with a higher voluntary minimum body temperature and a narrower preference range, suggesting tradeoffs in thermal behavior and a matching of offspring preferences to the parental environment. Parental thermal treatment did not influence offspring panting threshold. Instead, the panting threshold tended to be higher in offspring that were reared in the long-bask treatment compared to those in the short-bask treatment, suggesting longer basking environments increased thermal tolerance. Parental and offspring thermal environment did not exhibit any interactive effect on thermal traits. The results indicate that thermal environments experienced by lizards can have both transgenerational and within-generation impacts on thermal traits, thus influencing how populations respond to fluctuating or changing climates.

Perceived assortment and consideration of customized products

Customization in the marketplace has become much more commonplace as information technology and flexible manufacturing systems continue to evolve. Consumer research into customization decisions has subsequently examined the implications of customization as compared to traditional assortment product offerings, finding that customization yields both positive implications for consumer preference matching as well as higher evaluations of retailers, chosen products, and even the process itself. The present research examines the implications that customization of products has on consumers’ decision processes, and on their perceptions of assortment and how they consider products. Two experimental studies suggest that customization decisions may negatively affect consumers’ perceptions of assortment, while also reducing the number of alternatives they consider, and that this in turn may have implications for their evaluation of, and willingness-to-pay for, customized products.

Different domains – Different time preferences?

The vast majority of studies examining the relation between time preferences and health behavior have applied a measure of preferences in the financial rather than in the health domain. Most studies find a small but significant correlation. If time preferences for health and money are not the same, this can have substantial consequences for the reliability of these results. In the present paper, we set out to examine potential differences in time preferences between the two domains – money and health.Preferences over time were elicited using a stated preference matching method. Using a split sample design, the health domain was described in the context of back pain. Individuals were to match a certain sooner shorter period of pain relief against a later longer period of pain relief in the health domain, while the match in the financial domain was described as a match between a sooner smaller monetary reward and a larger later monetary reward. Data was collected through an online survey, distributed to a sample of members of fitness dk on the 7th of February 2016 and the 6th of March 2016 yielding a sample of 1687 members.In the analyses we assume quasi-hyperbolic discounting which allows us to estimate both a parameter measuring present bias and a parameter measuring impatience at an individual level. Our results demonstrate remarkably similar time preference estimates for both long term discounting and present biasedness. When analyzing differences between subgroups we observe small but significant differences between time preferences for women, retirees and individuals with a longer education.Our results shows that time preferences measured in the money and health domain in our sample are close to identical but that small differences occur in certain subgroups.

Pre-Sale Competition When Consumers Regret

This paper takes consumers anticipated regret into consideration in the pre-sale competition decision model, and analyzes the impact of anticipated regret on retailers’ pre-sale price and revenue in the pre-sale context where consumers have uncertain valuations and preference matching. The results show that, for retailers with higher probability of matching, it is expected that anticipated buying regret is harm to improve revenue, while anticipated waiting regret is beneficial. Conversely, for the retailer with lower possibility of matching, anticipated buying regret is beneficial to improve revenue, while waiting regret is not.

Prussian blue analogues derived magnetic FeCo alloy/carbon composites with tunable chemical composition and enhanced microwave absorption

A series of magnetic FeCo alloy/carbon composites have been successfully prepared through in situ pyrolysis of Prussian blue analogues (PBAs) with different Fe/Co ratios. The Fe/Co ratio can affect the crystalline phase, particle size, and magnetic property of the FeCo alloy particles, as well as the relative graphitization degree of the carbon frameworks. As a result, the electromagnetic functions of these composites will be highly associated with the Fe/Co ratio, where high Co content is beneficial to the formation of strong dielectric loss and moderate Co content can facilitate the magnetic loss. When Fe/Co ratio reaches 1:1, the as-obtained composite (sample S4) displays excellent reflection loss characteristics with powerful absorption in a very broad frequency range (over −10 dB in 3.2–18.0 GHz), which is superior to those of single magnetic metal (Fe or Co)/carbon composite derived from PBAs, as well as many previously reported FeCo alloy/carbon composites. Electromagnetic analysis reveals that the excellent microwave absorption of sample S4 benefits from its preferable matching of characteristic impedance and good attenuation ability toward incident electromagnetic waves. These results provide new insight into the fabrication of carbon-based magnetic composites with enhanced microwave absorption by rationally manipulating the chemical composition of magnetic components.

Embedding persuasive features into policy issues: Implications to designing public participation processes

Public participation is one of the most important tasks for policy making processes, and public authorities are lacking ideas on designing public participation processes facilitating active citizen participation. Based on a persuasion theory, this paper examines if policy issues embedded with persuasive features draw more attention, longer elaboration time and more participation. Particularly preference matching, location matching, social proof and authority are identified as persuasive features in e-participation context and propositions on their impacts on citizens' participation processes are developed. A prototype mobile participation tool is developed to test the propositions and tested by 80 experiment participants in the UK and Turkey. The findings indicate that the mixture of central and peripheral features is most effective in drawing participation while single feature has limitations. This study also argues that the design of e-participation tools needs to consider the psychological aspects of citizens for motivating their participations.

Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes

Visual impact is one of the main factors influencing the acceptance of wind farms by the public and by the authorities. It therefore often sets the environmental and social limits of energy policy and energy use. However, the assessment of visual impacts is subjective, as is often pointed out by critics of the evaluation process. The study presented here for the first time uses accurately and objectively measurable landscape indices to directly predict the visual impact of onshore wind turbines. The method also for the first time evaluates map-based landscape indices in a panoramic simulation, and this provides a better match of visual preferences with landscape indices than the cartographic projection used until now. 400 respondents from four Central European countries (Austria, Germany, Poland and Czechia) provided an evaluation of their scenic perception of 32 different landscapes, in each case with and without wind turbines. At the same time, we analysed 12 indices characterizing the principal landscape components (relief, land cover and landscape pattern) on the basis of the 32 landscape photographs. These were further tested as predictors of visual impact. The most prominent predictors of visual impact were the Percentage of Industrial Area (including Commercial, Logistic and Mining Areas), Percentage of Forest Cover, Density of Technical Infrastructure, Number of Elevation Landmarks, and Elevation Variation. None of the three landscape pattern indices was statistically significant. On the basis of a regression model that is able to predict the potential visual impact in large areas of four Central European countries (over 830,000 km2), we present the general principles of an objectivized method for predicting the visual impact of onshore wind farms. The method makes an automatic assessment of the visual impact in large areas of entire regions or countries via a GIS analysis of Sentinel data and DEM data. This forms a good basis for both preventive evaluation and causal evaluation, and provides significant support for objectivizing the planning and decision process in order to mitigate negative environmental and social impacts of the use of wind energy.

Increasing the Well-Being of Others On-the-Job and Outside the Workplace

We study the relationship between workers' opportunities to help others on-the-job and volunteering behavior outside the workplace. We predict that there is substitutability between workers' contribution to other peoples' well-being by exerting effort on-the-job and outside the workplace. We test this prediction using rich data from the Dutch LISS Panel. We exploit variation in workers' opportunities to help others on-the-job from two sources: i) workers' job switching behavior and ii) changes in workers' opportunities to help others on their current job through plausibly exogenous changes in workers' match of mission preferences with their employer. We find some support for our prediction.

Environmental Enrichment Rescues Binocular Matching of Orientation Preference in the Mouse Visual Cortex.

Neural circuits are shaped by experience during critical periods of development. Sensory deprivation during these periods permanently compromises an organism's ability to perceive the outside world. In the mouse visual system, normal visual experience during a critical period in early life drives the matching of individual cortical neurons' orientation preferences through the two eyes, likely a key step in the development of binocular vision. Here, in mice of both sexes, we show that the binocular matching process is completely blocked by monocular deprivation spanning the entire critical period. We then show that 3 weeks of environmental enrichment (EE), a paradigm of enhanced sensory, motor, and cognitive stimulation, is sufficient to rescue binocular matching to the level seen in unmanipulated mice. In contrast, 6 weeks of conventional housing only resulted in a partial rescue. Finally, we use two-photon calcium imaging to track the matching process chronically in individual cells during EE-induced rescue. We find that for cells that are clearly dominated by one of the two eyes, the input representing the weaker eye changes its orientation preference to align with that of the dominant eye. These results thus reveal ocular dominance as a key driver of the binocular matching process, and suggest a model whereby the dominant input instructs the development of the weaker input. Such a mechanism may operate in the development of other systems that need to integrate inputs from multiple sources to generate normal neuronal functions.SIGNIFICANCE STATEMENT Critical periods are developmental windows of opportunity that ensure the proper wiring of neural circuits, as well as windows of vulnerability when abnormal experience could cause lasting damage to the developing brain. In the visual system, critical period plasticity drives the establishment of binocularly matched orientation preferences in cortical neurons. Here, we show that binocular matching is completely blocked by monocular deprivation during the critical period. Moreover, environmental enrichment can fully rescue the disrupted matching, whereas conventional housing of twice the duration results in a partial rescue. We then use two-photon calcium imaging to track individual cells chronically during the EE-induced recovery, and reveal important insights into how appropriate function can be restored to the nervous system after the critical period.

How Does a Shared Decision-Making (SDM) Intervention for Oncologists Affect Participation Style and Preference Matching in Patients with Breast and Colon Cancer?

The aims of this study are to assess patients’ preferred and perceived decision-making roles and preference matching in a sample of German breast and colon cancer patients and to investigate how a shared decision-making (SDM) intervention for oncologists influences patients’ preferred and perceived decision-making roles and the attainment of preference matches. This study is a post hoc analysis of a randomised controlled trial (RCT) on the effects of an SDM intervention. The SDM intervention was a 12-h SDM training program for physicians in combination with decision board use. For this study, we analysed a subgroup of 107 breast and colon cancer patients faced with serious treatment decisions who provided data on specific questionnaires with regard to their preferred and perceived decision-making roles (passive, SDM or active). Patients filled in questionnaires immediately following a decision-relevant consultation (t1) with their oncologist. Eleven of these patients’ 27 treating oncologists had received the SDM intervention within the RCT. A majority of cancer patients (60%) preferred SDM. A match between preferred and perceived decision-making roles was reached for 72% of patients. The patients treated by SDM-trained physicians perceived greater autonomy in their decision making (p < 0.05) with more patients perceiving SDM or an active role, but their preference matching was not influenced. A SDM intervention for oncologists boosted patient autonomy but did not improve preference matching. This highlights the already well-known reluctance of physicians to engage in explicit role clarification.Trial Registration: German Clinical Trials Register DRKS00000539; Funding Source: German Cancer Aid.

Decentralization of Health and Education in Developing Countries: A Quality-Adjusted Review of the Empirical Literature

We review empirical evidence on the ability of decentralization to enhance preference matching and technical efficiency in the provision of health and education in developing countries. Many influential surveys have found that the empirical evidence of decentralization's effects on service delivery is weak, incomplete, and often contradictory. Our own unweighted reading of the literature concurs. However, when we organize quantitative evidence first by substantive theme, and then—crucially—by empirical quality and the credibility of its identification strategy, clear patterns emerge. Higher-quality evidence indicates that decentralization increases technical efficiency across a variety of public services, from student test scores to infant mortality rates. Decentralization also improves preference matching in education, and can do so in health under certain conditions, although there is less evidence for both. We discuss individual studies in some detail. Weighting by quality is especially important when ...

Multiple neural signatures of social proof and deviance during the observation of other people's preferences.

Detecting one's agreement with or deviation from other people, a key principle of social cognition, relies on neurocognitive mechanisms involved in reward processing, mismatch detection, and attentional orienting. Previous studies have focused on explicit depictions of the (in)congruency of individual and group judgments. Here, we report data from a novel experimental paradigm in which participants first rated a set of images and were later simply confronted with other individuals' ostensible preferences. Participants strongly aligned their judgments in the direction of other people's deviation from their own initial rating, which was neither an effect of regression toward the mean nor of evaluative conditioning (Experiment 1). Most importantly, we provide neurophysiological evidence of the involvement of fundamental cognitive functions related to social comparison (Experiment 2), even though our paradigm did not overly boost this process. Mismatches, as compared to matches, of preferences were associated with an amplitude increase of a broadly distributed N400-like deflection, suggesting that social deviance is represented in the human brain in a similar way as conflicts or breaches of expectation. Also, both early (P2) and late (LPC) signatures of attentional selection were significantly modulated by the social (mis)match of preferences. Our data thus strengthen and valuably extend previous findings on the neurocognitive principles of social proof.

Recovering Coproduced Service Failures

This article focuses on the locus of recovery (LOR) when failures occur in coproduced services. LOR refers to who contributes to the recovery. Based on the LOR effort, recovery can be classified into three types: firm recovery, joint recovery, and customer recovery. The authors develop a conceptual framework to examine the antecedents, consequences, and moderators of LOR and test the framework using three experiments. They find that the positive effect of customers’ self-efficacy on their expectancy to participate in recovery is stronger when they blame themselves for the failure than when they blame the service provider. Joint recovery is most effective in generating favorable service outcomes of satisfaction with recovery and intention for future coproduction. Furthermore, recovery urgency strengthens the effect of LOR; however, when a customer’s preferred recovery strategy is offered, such matching offsets the impact of recovery urgency. Our findings suggest several managerial implications for devising recovery strategies for service failures. Although having customers do the recovery may appear to be cost-effective, when customers are under time pressure, pushing them toward customer recovery against their preferences is likely to backfire. If a firm’s only available option is customer recovery, they should consider increasing customers’ sense of autonomy under resource constraints by aligning available recovery options with customer preferences. In contrast, joint recovery can be a win-win strategy—the customer is satisfied and the firm uses only moderate resources. It is also a more robust strategy that works particularly well under resource constraints and regardless of preference matching.

Patient Preferences and Shared Decision Making in the Treatment of Substance Use Disorders: A Systematic Review of the Literature.

BackgroundShared Decision Making (SDM) as means to the involvement of patients in medical decision making is increasingly demanded by treatment guidelines and legislation. Also, matching of patients’ preferences to treatments has been shown to be effective regarding symptom reduction. Despite promising results for patients with substance use disorders (SUD) no systematic evaluation of the literature has been provided. The aim is therefore to give a systematic overview of the literature of patient preferences and SDM in the treatment of patients with SUD.MethodsAn electronic literature search of the databases Medline, Embase, Psyndex and Clinical Trials Register was performed. Variations of the search terms substance use disorders, patient preferences and SDM were used. For data synthesis the populations, interventions and outcomes were summarized and described according to the PRISMA statement. Methodological quality of the included articles was assessed with the Mixed Methods Appraisal Tool.ResultsN = 25 trials were included in this review. These were conducted between 1986 and 2014 with altogether n = 8.729 patients. Two studies found that patients with SUD preferred to be actively involved in treatment decisions. Treatment preferences were assessed in n = 18 studies, where the majority of patients preferred outpatient compared with inpatient treatment. Matching patients to preferences resulted in a reduction on substance use (n = 3 studies), but the majority of studies found no significant effect. Interventions for SDM differed across patient populations and optional therapeutic techniques.DiscussionPatients with substance use disorders should be involved in medical treatment decisions, as patients with other health conditions. A suitable approach is Shared Decision Making, emphasizing the patients’ preferences. However, due to the heterogeneity of the included studies, results should be interpreted with caution. Further research is needed regarding SDM interventions in patient populations with substance use disorders.