Relationships between various person–environment fit types and employee withdrawal behavior: A longitudinal study

This study investigated the relationships between various person–environment fit types and employees' withdrawal attitudes and behaviors. I collected an initial survey data from 901 employees who had been with their organizations for 6 months at most and whose current organizations were their first employers. Of these respondents, only 297 responded to the second survey, 6 months after the first. The results showed person–job, person–supervisor, and person–organization fits correlated significantly with turnover intention on the first survey. Logistic regression analyses showed only person–organization fit correlated significantly with actual turnover at the time of Survey 2. I discuss implications and limitations of this study.     

The use of person–organization fit and person–job fit information in making selection decisions

Two policy-capturing studies were conducted to investigate how person–organization (PO) fit and person–job (PJ) fit information are weighted and combined when hiring decision makers evaluate job candidates, and how the process is influenced by the position’s characteristics. Regarding the combining process, we detected a nonlinear, conjunctive rule in which a low level of PJ fit was paid more attention, the levels of PO fit and PJ fit interacted, and candidates with moderate levels of PO fit and PJ fit were preferred over those with high and low levels. Regarding the weighting process, we found that PO fit was weighted more heavily for a permanent position, and PJ fit for a fixed-term and/or a knowledge-intensive position. In addition, the position’s contract duration (permanent vs. fixed-term) and task elements (managerial vs. knowledge-intensive) interacted in influencing the weighting of PO fit and PJ fit.     

The effects of managerial regulatory fit priming on reactions to explanations

We investigated the interactive effects of regulatory focus priming and message framing on the perceived fairness of unfavorable events. We hypothesized that individuals’ perceptions of fairness are higher when they receive a regulatory focus prime (promotion versus prevention) that is congruent with the framing of an explanation (gain versus loss), as opposed to one that is incongruent. We also hypothesized that these effects are mediated by counterfactual thinking. Three studies revealed that primed regulatory fit (promotion/gain or prevention/loss) led to higher levels of justice perceptions than regulatory misfit (promotion/loss or prevention/gain). Additionally, “could” and “should” counterfactuals partially mediated the relationship between regulatory fit and interactional justice (Study 3).     

个人-组织匹配的概念、测量策略及应用:基于互动性与灵活性的反思

个人-组织匹配(Person-Organization Fit,简称P-O匹配)的提出契合了组织行为学中人与情境双向互动的研究趋势,同时也符合组织及其成员灵活应对动态格局的现实要求。这种以双边互动性和匹配灵活性为出发点和立足点的研究是P-O匹配的特色所在。然而,目前该领域考察呈现出淡化原有独特立意的倾向。为此,我们在梳理P-O匹配学术背景和社会背景的基础上,强调将互动性和灵活性这两点基本要求融入其概念界定、测量策略的选取及应用课题当中,是为P-O匹配特色的重拾。     

Using person matching to predict career specialty choice

Person matching promotes career exploration and choice by linking persons to persons in occupations based on inventory profile score similarity. We examined the efficacy of the procedure for career specialty choice. Medical students (N = 196 women, 224 men) responded to the Sixteen Personality Factor Questionnaire (16PF) in their first year of training. After graduating and selecting a medical residency, members of a reference subgroup (n = 62) of the total sample were matched with members of a criterion subgroup (n = 358) based on 16PF score equivalencies determined by the D² statistic. Person matching predicted medical specialty choice 43-60% of the time. Using broader specialty group categories and adding criterion persons increased the number of specialty matches. Additional refinement and analysis should enhance the efficacy of this idiographic approach as an alternative to nomothetic P-E matching for career exploration. Future research should examine person matching in terms of consequential validity.     

人-组织匹配研究的新进展

本文概述了国外关于人-组织匹配研究的最新发展。人-组织匹配简称P-O匹配,它强调组织成员的个人特征与组织特征之问的相容性。P-O匹配不仅使组织能更好地吸引、选拔和留住高素质人才。而且也有利于提高员工工作绩效和满意感。     

Persuading young car drivers to take part in a driving skills test: The influence of regulatory fit on informational-assessment value and persuasion

Two studies were conducted to examine the relative effectiveness of differently framed messages advising young car drivers to take part in a driving skills test. It was hypothesized that messages promoting such detection behaviour should be more persuasive when the message frame was compatible versus incompatible with the recipient’s level of perceived risk. It was also hypothesized that such effects would occur because the “feeling right” experience resulting from the compatibility effects based on regulatory fit could be transferred to the informational-assessment value of the proposed feedback. Consistently, moderate perceived driving skills (Experiment 1) and high perceived risk drivers (Experiment 2) found the driving skills test more valuable for assessment purposes after having read a loss versus gain framed message and consequently, were more interested in taking part in the test. Furthermore, low perceived risk drivers (Experiment 2) showed a reversed pattern of responses. Implications for message framing in the road safety area are discussed.     

Goodness-of-fit and confidence intervals of approximate models

If the model for the data are strictly speaking incorrect, then how can one test whether the model fits? Standard goodness-of-fit (GOF) tests rely on strictly correct or incorrect models. But in practice the correct model is not assumed to be available. It would still be of interest to determine how good or how bad the approximation is. But how can this be achieved? If it is determined that a model is a good approximation and hence a good explanation of the data, how can reliable confidence intervals be constructed? In this paper, an attempt is made to answer the above questions. Several GOF tests and methods of constructing confidence intervals are evaluated both in a simulation and with real data from the internet-based daily news memory test.