First Impressions, Team Satisfaction and Work-Related Flow: A Multilevel Analysis

2018 ◽  
Vol 62 (1) ◽  
pp. 782-786
Author(s):  
Sarah Berger ◽  
Jeffery Hanrahan ◽  
Andrea Bizarro ◽  
Robert Henning
Keyword(s):  
Hierarchical Linear Modeling ◽  
Ad Hoc ◽  
First Impressions ◽  
Linear Modeling ◽  
Team Members ◽  
Work Related ◽  
Team Satisfaction ◽  
The Individual ◽  
Ad Hoc Teams ◽  
Flow Experiences

First impressions of fellow team members, as well as individual satisfaction with one’s team, are each related to work-related flow experiences but they are rarely studied in combination. To address this gap we collected measures of all three in a laboratory study of dyadic teams (N=55). First impressions were assessed prior to the start of a management simulation task, and both team satisfaction and work-related flow were assessed afterwards. Hierarchical linear modeling revealed that measures of team satisfaction at both the individual and team levels were predictive of work-related flow experiences; an interaction between the discrepancy in first impression ratings within each team and individual ratings of team satisfaction was also found. Findings suggest that discrepancies in first impressions interact with team satisfaction in ways that may negatively impact work-related flow experiences, which in turn has the potential to impair team formation and performance effectiveness of ad hoc teams.

scholarly journals Inquisitiveness: distributing rational thinking

2017 ◽  
Vol 23 (1/2) ◽  
pp. 66-81 ◽  
Author(s):  
Emanuele Bardone ◽  
Davide Secchi
Keyword(s):  
Design Methodology ◽  
Ad Hoc ◽  
Computational Simulation ◽  
Herbert Simon ◽  
Content Type ◽  
Team Members ◽  
Agent Based ◽  
Working Together ◽  
The Individual ◽  
Ad Hoc Teams

Purpose This study aims at redefining bounded rationality on the basis of a more socialized view of the individual. In doing so, it introduces “inquisitiveness” as a key disposition that some team members use to assemble and integrate knowledge when solving problems. Design/methodology/approach Using an agent-based computational simulation, this research models different simulated employees working together in “ad hoc” teams to solve problems. Findings Results show that inquisitiveness may work as an efficiency “driver” that, when present, economizes on the knowledge needed by team members to solve problems. In addition to that, results also show that environments with many problems are more suitable for inquisitive individuals to be effective. Originality/value Following the late Herbert Simon, the paper takes the stance that rationality should be redefined as a socially oriented process and introduces inquisitiveness as one – although probably not the only one – of the characteristics that help individuals and teams to make rational decisions.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

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 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

Who Am I as a Healthcare Provider?

2020 ◽  
pp. 1028-1043
Author(s):  
Rachel Umoren ◽  
Natalia Rybas
Keyword(s):  
Professional Education ◽  
Interprofessional Education ◽  
Ad Hoc ◽  
Healthcare Delivery ◽  
Healthcare Delivery System ◽  
Team Members ◽  
Professional Students ◽  
Interprofessional Teams ◽  
Acute Patient ◽  
Ad Hoc Teams

The U.S. healthcare delivery system relies on the formation of ad hoc teams of highly-trained, experienced, providers of various specialties. The providers work in interprofessional teams that converge to address situations around acute patient care. Various models of virtual training provide structured opportunities for interprofessional education, whereby learners engage with roles and responsibilities essential for their professions and active collaboration with other team members. This learning is transformative as it influences the development of professional identity and teamwork skills needed for successful collaborative practice in interprofessional teams. This chapter explores the role of training health care professional students using virtual simulations and the emerging potential of virtual and augmented reality for health professional education.

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.

scholarly journals How does self-performance expectation foster breakthrough creativity in the employee's cognitive level? An application of self-fulfilling prophecy

2020 ◽  
Vol 9 (5) ◽  
pp. 116-128
Author(s):  
MD Yahin Hossain ◽  
Zhiqiang Liu ◽  
Nilesh Kumar
Keyword(s):  
Hierarchical Linear Modeling ◽  
Reliability And Validity ◽  
Second Phase ◽  
Cognitive Level ◽  
Linear Modeling ◽  
Performance Expectations ◽  
Promotion Focus ◽  
Team Members ◽  
Performance Expectation ◽  
Confirmatory Factor

Drawing on self-fulfilling prophecy theory and status boundary conditions, the aim of this research is to test if promotion focus motivation mediates the employees' self-performance expectations towards breakthrough creativity. Besides, this paper also examines whether status stability significantly moderates the relationship between self-performance expectations and promotion focus motivation. The author conducted a longitudinal study and surveyed 380 staff in China with 102 immediate supervisors. In the first phase of data collection, including self-reported measures of team members' self-performance expectation and promotion focus motivation and status stability in the group. In the second phase of time, supervisors rated their team members' breakthrough creativity. Confirmatory factor analysis is conducted to test the reliability and validity of data. Also, hierarchical linear modeling is used to test the hypothesis. The bootstrapping process was adopted to calculate the indirect effect. The results were in line with the expected conceptual framework, Self-performance expectations and promotion focus motivation are found positive to predict breakthrough creativity. Besides, having more stability in status makes the employee more promotion focus, which brings breakthrough creativity from the cognitive level.  Supervisors should organize sensitivity training to make them realize what is anticipated from them. Also, a simple nurturing will mobilize the existing cognitive pressure to achieve breakthrough creativity while investing in lower organizational resources. Finally, this model will deliver new insight into employees' motives towards breakthrough creativity, considering the influence of boundary condition and self-performance expectations in the organization. 

scholarly journals Associations Between Daily Positive Communication and Sexual Desire and Satisfaction: A Comparison Between Traditional Analyses and Machine Learning

2021 ◽  
Author(s):  
Christine Leistner ◽  
Laura Marika Vowels ◽  
Matthew J Vowels ◽  
Kristen Mark
Keyword(s):  
Machine Learning ◽  
Relationship Satisfaction ◽  
Sexual Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Sexual Desire ◽  
Communication Strategies ◽  
Linear Modeling ◽  
Positive Communication ◽  
The Individual ◽  
Data Analytic

Communication is an important component of many healthy sexual and romantic relationships. Positive communication strategies including expressing fondness and affection, exchanging compliments, and disclosing information about oneself with a partner are associated with relationship and sexual satisfaction, but less is known about its association to sexual desire. Most of the current literature has used traditional statistical analyses that assume errors are normally distributed and that associations between variables are linear. Our study aimed to examine the ways daily levels of four positive communication strategies are associated with relationship satisfaction, sexual satisfaction, and sexual desire among 246 mixed sex couples (N = 492). We also compared traditional hierarchical linear modeling with machine learning to compare results from the different data analytic techniques. Findings indicated that daily positive communication received from a partner was associated with all outcome variables of interest that day for both partners in the couple. All positive communication strategies predicted daily levels of desire, sexual satisfaction, and relationship satisfaction for the individual and each had unique associations with partner outcomes. Unique nonlinear interactions were found using machine learning. Findings have implications for practitioners and provide insight into the differences in findings between traditional analyses and machine learning.

Does political efficacy equally predict news engagement across countries? A multilevel analysis of the relationship among internal political efficacy, media environment and news engagement

2019 ◽  
Vol 22 (12) ◽  
pp. 2146-2165 ◽  
Author(s):  
Shuning Lu ◽  
Luwei Rose Luqiu
Keyword(s):  
Hierarchical Linear Modeling ◽  
Political Efficacy ◽  
Press Freedom ◽  
Linear Modeling ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Media Environment ◽  
Negatively Associated ◽  
The Individual ◽  
User Content

This study serves as the first to examine the mechanism of news engagement with regard to the three proposed dimensions (i.e. overall news engagement, user-user news engagement, and user-content news engagement) across 36 countries. We employed hierarchical linear modeling to test how internal political efficacy and media environment—both political and technological, shape news engagement based on the multinational cross-sectional survey data ( N = 72,930). The findings showed that internal political efficacy was positively associated with news engagement. Press freedom was negatively associated with user-content news engagement; Internet penetration was negatively associated with the three indicators of news engagement. Press freedom negatively moderated the effect of internal political efficacy on user-content news engagement. The study advances our understanding about the individual and contextual mechanisms of news engagement. It also renders significant implications for news organizations to consider the role of media environment while practicing engagement.

Affective and Cognitive Trust as Mediators in the Influence of Leader Motivating Language on Personal Initiative

2020 ◽  
pp. 232948842091550
Author(s):  
Bin Ling ◽  
Yue Guo
Keyword(s):  
Hierarchical Linear Modeling ◽  
Mainland China ◽  
Mediating Effects ◽  
Linear Modeling ◽  
Cognitive Trust ◽  
Individual Level ◽  
Personal Initiative ◽  
Motivating Language ◽  
The Individual ◽  
The Relationship

We investigated the mediating effects of affective and cognitive trust on the relationship between leaders’ use of motivating language and employees’ personal initiative. Hierarchical linear modeling was performed on nested data obtained from a sample of 238 participants from mainland China. The results showed that leaders’ motivating language positively influenced employees’ personal initiative at the team level and their affective and cognitive trust at the individual level. Additionally, both affective and cognitive trust significantly mediated the relationship between motivating language used by leaders and personal initiative demonstrated by employees. These findings point to the positive implications for an organization of a mechanism that fosters employees’ trust in their leaders through the translation of motivational language used by leaders into employees’ behavior demonstrating their personal initiative.

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