What makes a group of good citizens? The role of perceived group‐level fit and critical psychological states in organizational teams

Recent studies have expanded the construct of organizational citizenship behaviour (OCB) to the group level and demonstrated its significance in predicting group performance. In this study, we have further expanded this growing stream of research regarding group‐level OCB (GOCB), by identifying distinct group characteristics that predict GOCB. Specifically, we have isolated perceived group–organization (G–O) fit and group–task (G–T) fit as meaningful antecedents of GOCB. We further propose that the perceived G–O and G–T fit influence GOCB by shaping two intermediate psychological states of group members: cohesion and group efficacy. Our findings, which were based on multi‐source data collected from 43 organizational teams, demonstrated that cohesion completely mediated the effect of perceived G–O fit on GOCB. Group efficacy, however, proved not to be a significant mediator of the relationship between perceived G–T fit and GOCB. Instead, G–T fit had a significant direct effect on GOCB. This study highlights the significance of group‐level conceptualization of group–environment interaction as a potential driver of various group processes and outcomes.     

Sensorimotor influences on speech perception in pre-babbling infants: Replication and extension of Bruderer et al. (2015)

Psychonomic Bulletin & Review - The relationship between speech perception and production is central to understanding language processing, yet remains under debate, particularly in early...     

Parent and Child Factors Associated with Household versus Community Adversity among Black and Hispanic Children

Journal of Child and Family Studies - The purpose of this study was to describe exposure to within-household and community adverse childhood experiences (ACEs) and to identify child- and...     

Functional Parallel Factor Analysis for Functions of One- and Two-dimensional Arguments

Parallel factor analysis (PARAFAC) is a useful multivariate method for decomposing three-way data that consist of three different types of entities simultaneously. This method estimates trilinear components, each of which is a low-dimensional representation of a set of entities, often called a mode, to explain the maximum variance of the data. Functional PARAFAC permits the entities in different modes to be smooth functions or curves, varying over a continuum, rather than a collection of unconnected responses. The existing functional PARAFAC methods handle functions of a one-dimensional argument (e.g., time) only. In this paper, we propose a new extension of functional PARAFAC for handling three-way data whose responses are sequenced along both a two-dimensional domain (e.g., a plane with x- and y-axis coordinates) and a one-dimensional argument. Technically, the proposed method combines PARAFAC with basis function expansion approximations, using a set of piecewise quadratic finite element basis functions for estimating two-dimensional smooth functions and a set of one-dimensional basis functions for estimating one-dimensional smooth functions. In a simulation study, the proposed method appeared to outperform the conventional PARAFAC. We apply the method to EEG data to demonstrate its empirical usefulness.     

Competitive factors of electronic dance music festivals with Social Networking Service (SNS) citizenship behaviour of international tourists

This study examined the comparative advantages of prestige service labelling (VIP), online marketing, and image differentiation when applied as marketing strategies to build tourist loyalty as a component of citizenship behaviour. The participants were 220 African tourists attending the World Club Dome Korea 2017 festival event. Following data collection, we conducted a hierarchical regression analysis to determine how VIP, online marketing, and image differentiation influenced tourist social networking service (SNS) citizenship behaviour. The results suggest that VIP and image differentiation to positively predict SNS citizenship behaviour, whereas this was not the case for online marketing. VIP had a higher influence on tourist SNS citizenship behaviour than image differentiation. In summary, strategies to attract tourists with high purchasing power should include prestige service branding with clear image differentiation. This exclusivity could be applied to online ticketing services for their added value to tourism promotion.     

Influences of stereotype and social distance on prejudice toward African Americans

The study sought to identify the influential factors of stereotypes, social distance, and prejudice toward racial/ethnic minorities in the United States. We used data from the American General Social Survey (GSS) of 2012, and analysed the data of 4 820 individuals (3 700 Caucasians, 722 African Americans, and 398 others; males?=?44.2%, females?=?55.8%). Data were analysed using the SPSS 18.0 Statistics Program. In order to test for differences in racial prejudice by demographic characteristics by stereotyping and social distancing, we utilised variance and regression analyses procedures. Results suggest that stereotypes and social distance effects on prejudice toward African Americans vary according to ethnicity, gender, age, education, and income. Specifically, older and less-educated white males were more prejudiced toward African Americans than were individuals from other sociodemographic groupings. There was a direct relationship between the holding of stereotypical views and social distance, in that those who showed higher levels of stereotyping maintained a greater social distance from African Americans and showed greater implicit prejudice toward them. Racism toward African Americans remains a major social concern in the USA, and is largely influenced by sociodemographic factors.