Goal Setting

An updated meta-analysis of the primed goal-organizational behaviour relationship

Abstract

Environmental cues (e.g. achievement-related words and pictures) can prime/activate, in the absence of awareness, a mental representation of importance stored in memory. Chen et al.'s 2021 Applied Psychology: An International Review70, 216–253. (doi:10.1111/apps.12239) meta-analysis revealed a moderate, significant overall effect for the goal priming-organizational behaviour relationship, with three moderators identified: context-specific versus a general prime, prime modality (i.e. visual versus linguistic) and experimental setting (field versus laboratory). An independent researcher found that their finding was negligibly affected by a publication bias. Shanks & Vadillo (2021), Royal Society Open Science8, 210544. (doi:10.1098/rsos.210544) (field: k = 13, N = 683, d = 0.64), questioned Chen et al.'s conclusion regarding the effect size found in field studies (field: k = 8, N = 357, d = 0.68). In this paper, we discussed Shanks & Vadillo's selection of additional field experiments that led to their conclusion of a publication bias. We updated Chen et al.'s meta-analysis to include relevant studies conducted since that study's publication. The present meta-analysis reproduced the original findings in Chen et al. (field: k = 11, N = 534, d = 0.67). The updated findings are consistent with: (i) laboratory findings, (ii) the findings obtained in field experiments on consciously set goals and (iii) goal setting theory (Latham & Locke, 2018 In Handbook of industrial, work & organizational Psychology, vol. 1 (eds D Ones, N Anderson, C Viswesvaran, H Sinangil), pp. 103–124).
Avraham N. Kluger · Michal Lehmann · Herman Aguinis · Guy Itzchakov · Galit Gordoni · Jetmir Zyberaj · Cafer Bakaç
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Listening
The quality of listening in interpersonal contexts was hypothesized to improve a variety of work outcomes. However, research of this general hypothesis is dispersed across multiple disciplines and mostly atheoretical. We propose that perceived listening improves job performance through its efects on afect, cognition, and relationship quality. To test our theory, we conducted a registered systematic review and multiple meta-analyses, using three-level meta-analysis models, based on 664 efect sizes and 400,020 observations. Our results suggest a strong positive correlation between perceived listening and work outcomes, r = .39, 95%CI=[.36, .43], 휌 = .44, with the efect on relationship quality, r =.51, being stronger than the efect on performance, r =.36. These fndings partially support our theory, indicating that perceived listening may enhance job performance by improving relationship quality. However, 75% of the literature relied on self-reports raising concerns about discriminant validity. Despite this limitation, removing data solely based on self-reports still produced substantial estimates of the association between listening and work outcomes (e.g., listening and job performance, r = .21, 95%CI=[.13, .29], 휌 = .23). Our meta-analyses suggest further research into (a) the relationship between listening and job knowledge, (b) measures assessing poor listening behaviors, (c) the incremental validity of listening in predicting listeners’ and speakers’ job performance, and (d) listening as a means to improve relationships at work.
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Asaf Mazar, Guy Itzchakov, Alicea Lieberman, and Wendy Wood
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Attitudes
This research tests a novel source of resistance to social influence—the automatic repetition of habit. In three experiments, participants with strong habits failed to align their behavior with others. Specifically, participants with strong habits to drink water in a dining hall or snack while working did not mimic others’ drinking or eating, whereas those with weak habits conformed. Similarly, participants with strong habits did not shift expectations that they would act in line with descriptive norms, whereas those with weak habits reported more normative behavioral expectations. This habit resistance was not due to a failure to perceive influence: Both strong and weak habit participants’ recalled others’ behavior accurately, and it was readily accessible. Furthermore, strong habit participants shifted their normative beliefs but not behavior in line with descriptive norms. Thus, habits create behavioral resistance despite people’s recognition and acceptance of social influence.
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