Diminishing Returns of Leadership Behaviors on Leadership Emergence

2019 ◽  
Vol 50 (6) ◽  
pp. 759-773
Author(s):  
Tyree David Mitchell ◽  
Jasmine Hu ◽  
Lars Johnson
Keyword(s):  
Leadership Behaviors ◽  
Large Body ◽  
Assessment Center ◽  
Leadership Emergence ◽  
Team Members ◽  
Linear Relations ◽  
Linear Relationships ◽  
Non Linear ◽  
Diminishing Returns ◽  
Task Oriented

A large body of evidence has concluded that there are positive linear relationships between leadership behaviors and leadership emergence. Drawing on insights from the leadership and teams research, we hypothesized that above certain levels of task-oriented and relationship-oriented behaviors, such behaviors will have diminishing returns for leadership emergence. Hypotheses were tested using a sample of 105 leaderless teams within an assessment center setting. Our results indicate that team members’ behaviors have linear and non-linear relations with leadership emergence. We discovered that the association between relationship-oriented behaviors and leadership emergence in self-managed teams is curvilinear, whereas the association between task-oriented behaviors and leadership emergence is linear but not curvilinear. Overall, the relationships between member behaviors and leadership emergence are more complex than the independent, positive linear relationships observed throughout the literature.

Linear and non-linear relationships between soil sorption and hydrophobicity

2012 ◽  
Vol 23 (1-2) ◽  
pp. 111-123 ◽  
Author(s):  
Y. Wen ◽  
L.M. Su ◽  
W.C. Qin ◽  
J. He ◽  
L. Fu ◽  
...  
Keyword(s):  
Soil Sorption ◽  
Linear Relationships ◽  
Non Linear

scholarly journals Neural network emulation of a rainfall-runoff model

2007 ◽  
Vol 4 (1) ◽  
pp. 287-326 ◽  
Author(s):  
R. J. Abrahart ◽  
L. M. See
Keyword(s):  
Neural Network ◽  
Transfer Functions ◽  
Network Models ◽  
Exact Equation ◽  
Rainfall Runoff ◽  
Neural Network Models ◽  
Linear Relationships ◽  
Non Linear ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. The potential of an artificial neural network to perform simple non-linear hydrological transformations is examined. Four neural network models were developed to emulate different facets of a recognised non-linear hydrological transformation equation that possessed a small number of variables and contained no temporal component. The modeling process was based on a set of uniform random distributions. The cloning operation facilitated a direct comparison with the exact equation-based relationship. It also provided broader information about the power of a neural network to emulate existing equations and model non-linear relationships. Several comparisons with least squares multiple linear regression were performed. The first experiment involved a direct emulation of the Xinanjiang Rainfall-Runoff Model. The next two experiments were designed to assess the competencies of two neural solutions that were developed on a reduced number of inputs. This involved the omission and conflation of previous inputs. The final experiment used derived variables to model intrinsic but otherwise concealed internal relationships that are of hydrological interest. Two recent studies have suggested that neural solutions offer no worthwhile improvements in comparison to traditional weighted linear transfer functions for capturing the non-linear nature of hydrological relationships. Yet such fundamental properties are intrinsic aspects of catchment processes that cannot be excluded or ignored. The results from the four experiments that are reported in this paper are used to challenge the interpretations from these two earlier studies and thus further the debate with regards to the appropriateness of neural networks for hydrological modelling.

scholarly journals What the differences in conflict between online and face-to-face work groups mean for hybrid groups: A state-of-the-art review

2020 ◽  
Vol 8 ◽  
pp. 51-77
Author(s):  
Jessica Kahlow ◽  
Hanna Klecka ◽  
Erin Ruppel
Keyword(s):  
Group Performance ◽  
Work Groups ◽  
Leadership Behaviors ◽  
Computer Mediated Communication ◽  
Mediated Communication ◽  
Online Groups ◽  
Face To Face ◽  
Computer Mediated ◽  
Performance Satisfaction ◽  
Task Oriented

Conflict has been a topic widely studied in communication and management studies literature. How groups handle conflict can affect group performance, satisfaction, and commitment (Martínez-Moreno, González-Navarro, Zornoza, & Ripoll, 2009; Pazos, 2012; Staples & Webster, 2007; Workman, 2007). Much of this literature focuses on online, task-oriented work groups, and how these groups differ from face-to-face (F2F) groups. However, hybrid groups (i.e., those that work both F2F and online) are increasingly common. To better understand conflict in hybrid groups, we review 68 articles regarding online, hybrid, and F2F groups that highlight the differences between F2F and online groups and consider what these differences mean for hybrid groups. In doing so, we identify several emergent themes related to how conflict is managed in online and hybrid groups. The literature suggests that there are many benefits to online and hybrid groups, such as the ability to assemble more diverse teams and work asynchronously, but that conflict is also more common in online than F2F groups. Strong norms and leadership behaviors that encourage trust and cohesion appear to reduce conflict and its effects on group performance and decision making, especially in online groups. These findings suggest that in hybrid groups, F2F meetings might be used to quickly establish group norms, trust, and cohesion, which can then improve online group interactions. However, more research is needed to understand how conflict occurs and is managed in hybrid groups. Future communication research should focus on examining conflict management in hybrid groups using computer-mediated communication perspectives.

scholarly journals Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiani Wu ◽  
Chunli Zhao ◽  
Chaoyang Li ◽  
Tao Wang ◽  
Lanjing Wang ◽  
...  
Keyword(s):  
Older Adults ◽  
Land Use ◽  
Built Environment ◽  
Green Space ◽  
Additive Model ◽  
Walking Behavior ◽  
Old Adults ◽  
Linear Relationships ◽  
Walking Activity ◽  
Non Linear

Aim: Promoting walking activity is an effective way to improve the health of older adults. Walking frequency is a critical component of walking behavior and an essential determinant of daily walking levels. To decipher the association between the built environment and walking frequency among older adults, this study's aims are as follows: (1) to empirically test whether non-linear relationships between the two exist, and (2) to identify the thresholds of the built environment characteristics that promote walking.Methods: The walking frequency of old adults was derived from the Zhongshan Household Travel Survey (ZHTS) in 2012. The sample size of old adults aged 60 or over was 4784 from 274 urban and rural neighborhoods. A semi-parametric generalized additive model (GAMM) is used to analyze the non-linear or non-monotonic relationships between the built environment and the walking frequency among older adults.Results: We found that non-linear relationships exist among five out of the six built environment characteristics. Within certain thresholds, the population density, sidewalk density, bus stop density, land use mixture, and the percentage of green space are positively related to older adults' walking trips. Furthermore, the land use mixture and the percentage of green space show an inverse “V”-shaped relationship.Conclusions: Built environment features can either support or hinder the walking frequency among older adults. The findings in the current study contribute to effective land use and transport policies for promoting active travel among older adults.

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