Effects of Team Personality Composition on Member Performance: A Multilevel Perspective

2016 ◽  
Vol 43 (2) ◽  
pp. 316-348 ◽  
Author(s):  
Matthew S. Prewett ◽  
Matthew I. Brown ◽  
Ashita Goswami ◽  
Neil D. Christiansen
Keyword(s):  
Personality Traits ◽  
Team Performance ◽  
Hierarchical Linear Modeling ◽  
Emotional Stability ◽  
Linear Modeling ◽  
Individual Level ◽  
Level Elevation ◽  
Team Personality ◽  
And Performance ◽  
Main Effects

Personality traits are often theorized to affect team performance by predisposing members to perform individual-level behaviors. Yet, member personality traits may also affect team performance by creating contextual influences on member behaviors. As such, the purpose of the present study was to examine the effect of team personality composition on individual-level performance using hierarchical linear modeling. A range of effects for team-level elevation were observed, but few effects emerged for team-level heterogeneity. Main effects from elevation in Extraversion and Openness to Experience were consistently observed across analyses. The main effects from team elevation in Conscientiousness and Agreeableness, however, were only observed prior to controlling for individual-level trait scores or when using a group-mean centering method for individual-level trait scores. In addition, elevation in Conscientiousness and heterogeneity in Emotional Stability moderated the relationships between individual trait scores and performance, such that individual-level relations were stronger when team elevation was higher (Conscientiousness) and heterogeneity was lower (Emotional Stability). These findings provide evidence that team member personality can influence performance through contextual phenomena.

scholarly journals Does Postsecondary Education Attainment Matter in Community Service Engagement? Evidence from Across 18 OECD Countries

2021 ◽  
Vol 11 (3) ◽  
pp. 96
Author(s):  
Hee Jung Gong ◽  
Jung Eun Hong
Keyword(s):  
Postsecondary Education ◽  
Community Service ◽  
Hierarchical Linear Modeling ◽  
Tertiary Education ◽  
Oecd Countries ◽  
Least Square ◽  
Linear Modeling ◽  
Individual Level ◽  
Service Engagement ◽  
The World

This study is concerned with the central issues of community service engagement (CSE) in 21st century democratic societies around the world. To examine the factors influencing postsecondary education attainment’s relationship to CSE, this study utilized data from the Organization for Economic Co-operation and Development (OECD) countries using ordinary least square (OLS) and two-level hierarchical linear modeling (HLM) methods, including various factors for each country’s individual and country levels. The results show that attainment in postsecondary education at the individual level and investment and enrollments in tertiary education both have an influence on increasing CSE in 18 OECD countries. The present study is expected to contribute to an understanding of the relationship between postsecondary education and CSE across the world.

Knowledge Sharing, Organizational Climate, and Innovative Behavior: A Cross-Level Analysis of Effects

2013 ◽  
Vol 41 (1) ◽  
pp. 143-156 ◽  
Author(s):  
Chien Yu ◽  
Tsai-Fang Yu ◽  
Chin-Cheh Yu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Organizational Innovation ◽  
Positive Association ◽  
Innovative Behavior ◽  
Linear Modeling ◽  
Individual Level ◽  
Innovation Climate ◽  
The Impact

We investigated individual-level knowledge sharing and innovative behavior of employees, organizational innovation climate, and interactions between the individual level of knowledge sharing and the climate of innovation within the organization as a whole. Employees of public corporations in the Taiwanese finance and insurance industries participated in this study. Hierarchical linear modeling (HLM) indicated a positive association between knowledge sharing and innovative behavior and a positive association between organizational innovation climate and innovative behavior. According to the results of HLM organizational innovation climate did not act as a moderator on the impact of knowledge sharing on innovative behavior.

scholarly journals Factors Determining Income among Real Estate Salespersons: The Impacts of Individual Conditions, Franchises, and Regular Chains

2015 ◽  
Vol 7 (11) ◽  
pp. 94
Author(s):  
Chun-Chang Lee ◽  
Cheng-Huang Tung ◽  
Yu-Heng Lee ◽  
Shu-Man You
Keyword(s):  
Real Estate ◽  
Hierarchical Linear Modeling ◽  
Positive Impact ◽  
Working Hours ◽  
Education Level ◽  
Linear Modeling ◽  
Individual Level ◽  
The Individual ◽  
The Given ◽  
Regular Chains

<p>This study explores the factors that affect the incomes of real estate salespersons by applying hierarchical linear modeling (HLM) to investigate the incomes of real estate salespersons in Kaohsiung. A total of 510 questionnaires were distributed to large chain housing agencies, of which a total of 319 effective samples were retrieved from 54 branch stores, for an effective return rate of 62.55%. The empirical results showed that individual incomes vary significantly from store to store. About 4.8% of the variation in individual incomes was due to differences among different branch stores. The individual income of a real estate salesperson is also significantly affected by individual-level factors such as age, working hours, and working experience. The marginal impact of education level, age, working hours, and working experience on real estate salesperson income is moderated by the type of store at which the given salesperson works. In addition, a branch store’s location has a direct, significant, and positive impact on a real estate salesperson’s income.</p>

scholarly journals Social Relations at the Collective Level: The Meaning and Measurement of Collective Control in Research on the Psychosocial Work Environment

2013 ◽  
Vol 3 (3) ◽  
pp. 30 ◽  
Author(s):  
Per Øystein Saksvik ◽  
Tove Helland Hammer ◽  
Kjell Nytrø
Keyword(s):  
Work Environment ◽  
Hierarchical Linear Modeling ◽  
Social Relations ◽  
Psychosocial Work Environment ◽  
Organizational Level ◽  
Level Control ◽  
Psychosocial Work ◽  
Linear Modeling ◽  
Individual Level ◽  
Self Reports

In this article, we suggest that organizational-level social relations should be defined and measured as workplace norms. We base this argument on new research on the components of the psychosocial work environment and on the availability of new techniques for measuring and analyzing workplace norms as organizational properties. Workplace norms emerge from interactions and negotiations among organizational actors, through which patterns of behavior, attitudes, and perspectives become defined as legitimate. This is an underestimated dimension of the psychosocial work environment that should be assessed with two types of data: self-reports by employees of their experiences in the workplace (task-level control) and self-reports by employees and employers of collective or group-level norms. Hierarchical linear modeling is an especially useful tool for analyzing the relationships between workplace norms and different organizational outcomes because it allows researchers to separate the effects of individual-level variables from group or organizational-level factors. Our approach is anchored in the Nordic perspective of the work environment developed over the past 50 years.

Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

1997 ◽  
Vol 23 (6) ◽  
pp. 745-757 ◽  
Author(s):  
Diana L. Deadrick ◽  
Nathan Bennett ◽  
Craig J. Russell
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dynamic Performance ◽  
Individual Performance ◽  
Performance Criteria ◽  
Practical Significance ◽  
Linear Modeling ◽  
Modeling Analysis ◽  
And Performance ◽  
Over Time ◽  
Dynamic Criteria

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

Impact of employee pro-organizational unethical behavior on performance evaluation rated by supervisor: a moderated mediation model of supervisor bottom-line mentality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaohui Zhan ◽  
Yun Liu
Keyword(s):  
Performance Evaluation ◽  
Organizational Behavior ◽  
Hierarchical Linear Modeling ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Linear Modeling ◽  
Bottom Line ◽  
Content Type ◽  
And Performance ◽  
The Relationship

Purpose The topic of employees’ unethical pro-organizational behavior (UPB) has attracted more and more interest in both practice and academic fields. However, previous studies have mainly investigated the antecedents of UPB and little research has discussed the outcome variables. This study aims to provide a comprehensive understanding of the effect mechanism of UPB on employee performance evaluation rated by a supervisor through a leader-member exchange (LMX) and the moderating role of supervisor bottom-line mentality (BLM). Design/methodology/approach This study used a sample consisting of 304 employees and 96 supervisors in several manufacturing firms in China. The authors used hierarchical linear modeling to test the hypotheses, as this was cross-level research. In addition, this paper also uses Mplus7.4 to test the moderating effects of supervisor BLM on the indirect effects between the UPB and performance evaluation by a moderated path analysis. Findings The results confirm that UPB is positively related to performance evaluation rated by supervisors. Additionally, the mediating effect of LMX in the relationship between UPB and performance evaluation is successfully demonstrated. Furthermore, supervisor BLM cross-levelly moderates the relationship between UPB and LMX, as well as moderates the mediation effect of LMX on the correlation between UPB and performance evaluation. Research limitations/implications The primary contribution of this research is building a cross-level model for the effect of UPB on followers’ performance evaluation scored by the supervisor and thereby extending the nomological networks of both UPB and performance evaluation literature. Another contribution the study makes to the literature is that it provides a new perspective to understand how UPB relates to followers’ performance evaluation. Originality/value This is the first study about how and when UPB predicts followers’ performance evaluation rated by the supervisor.

scholarly journals Hypothesized, Directly-Coded Curve Shapes in Growth Curve Analysis: An Example

2013 ◽  
Vol 3 (2) ◽  
pp. 13 ◽  
Author(s):  
Patricia M. Herman ◽  
Lee Sechrest
Keyword(s):  
Hierarchical Linear Modeling ◽  
Growth Curve ◽  
Degrees Of Freedom ◽  
Growth Curves ◽  
Curve Analysis ◽  
Small Samples ◽  
Growth Curve Analysis ◽  
Linear Modeling ◽  
Individual Level ◽  
The Individual

Growth curve analysis provides important informational benefits regarding intervention outcomes over time. Rarely, however, should outcome trajectories be assumed to be linear. Instead, both the shape and the slope of the growth curve can be estimated. Non-linear growth curves are usually modeled by including either higher-order time variables or orthogonal polynomial contrast codes. Each has limitations (multicollinearity with the first, a lack of coefficient interpretability with the second, and a loss of degrees of freedom with both) and neither encourages direct testing of alternative hypothesized curve shapes. Especially in studies with relatively small samples it is likely to be useful to preserve as much information as possible at the individual level. This article presents a step-by-step example of the use and testing of hypothesized curve shapes in the estimation of growth curves using hierarchical linear modeling for a small intervention study. DOI:10.2458/azu_jmmss_v3i2_herman

Research on the Innovation Method of HRM Based on Information Technology

2014 ◽  
Vol 687-691 ◽  
pp. 4485-4488
Author(s):  
Man Jing Zhang
Keyword(s):  
Firm Performance ◽  
Hierarchical Linear Modeling ◽  
Psychological Contract ◽  
High Performance ◽  
Affective Commitment ◽  
Organizational Level ◽  
Linear Modeling ◽  
Individual Level ◽  
Relational Contract ◽  
The Individual

As an organization s strategy to manage the employment relationship, high-performance work system (HPWS) may lead to superior firm performance and favorable employee outcomes through cultivating the relational aspects of employee’s psychological contract. In this study, we investigated the processes (mediation and moderation) linking HPWS and outcomes at both the organizational and individual levels. Hierarchical linear modeling (HLM) analysis on a sample of 1129 employees from 92 firms in the Pearl River Delta of China indicated that HPWS was associated with increased firm performance and decreased turnover rate at the organizational level, and relational contract fully mediated the cross-level relationships between HPWS and employees affective commitment and in-role performance at the individual level. In addition, perceived supervisor support moderated the HPWS and relational contract relationship. We discuss theoretical and practical implications to end of this paper.

When is a Good Citizen Valued More? Organizational Citizenship Behavior and Performance Evaluation

2015 ◽  
Vol 43 (6) ◽  
pp. 1009-1020 ◽  
Author(s):  
Se Hyung (David) Oh ◽  
Ying Chen ◽  
Fubin Sun
Keyword(s):  
Performance Evaluation ◽  
Organizational Citizenship ◽  
Hierarchical Linear Modeling ◽  
Organizational Citizenship Behavior ◽  
Employee Performance ◽  
Citizenship Behavior ◽  
Linear Modeling ◽  
Good Citizen ◽  
Group Context ◽  
And Performance

Organizational citizenship behaviors (OCB) have been found to affect supervisors' ratings of employee performance partially because these behaviors are distinct and, thus, capture the rater's attention. In this study, we have expanded the existing literature by recognizing the rater's readiness to detect employee OCB. Specifically, we applied the concept of bottom-up and top-down attentional capture to test our prediction that the influence of OCB on employee performance evaluation would be dependent upon the rater's motivation to detect behaviors that potentially increase group effectiveness. Results of hierarchical linear modeling analysis of data collected from 33 work groups at 5 state-owned manufacturing factories in China supported our hypotheses. Our findings suggest that the relationship between OCB and performance ratings is more complex than originally thought and that both rater's cognition and group context should be taken into consideration when investigating this relationship.

Civil Society and the Legacies of Dictatorship

2007 ◽  
Vol 59 (4) ◽  
pp. 539-567 ◽  
Author(s):  
Michael Bernhard ◽  
Ekrem Karakoç
Keyword(s):  
Civil Society ◽  
Hierarchical Linear Modeling ◽  
National Level ◽  
World Values Survey ◽  
Organizational Life ◽  
Linear Modeling ◽  
Individual Level ◽  
Civil Society Participation ◽  
Level Data ◽  
Different Types

The literature on civil society in postcommunist regimes highlights its weakness as compared with civil society in other democracies. In this article the authors make a general argument on how different patterns of antecedent dictatorship affect the development of civil society across a range of democracies. They examine the slow emergence of two behaviors associated with a robust civil society—participation in organizational life and in protest—and explain variation across countries as a function of regime history. They draw their individual-level data from the World Values Survey and analyze the behavior of over forty-one thousand citizens from forty-two democracies. Using methods of hierarchical linear modeling to control for both national-level and individual-level factors, the authors find that different types of dictatorship and variation in their duration produce different negative legacies for the development of civil society.

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