Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the designer...
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area vector...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diversity, networks, and innovation: A text analytic approach to measuring expertise diversity.

Network science (Cambridge University Press)·2026
Same author

An empirical taxonomy of leadership situations: Development, validation, and implications for the science and practice of leadership.

The Journal of applied psychology·2023
Same author

Organizing for Mars: A Task Management Perspective on Work within Spaceflight Multiteam Systems.

Human factors·2022
Same author

Examining Multiteam Systems Across Context and Type: A Historiometric Analysis of Failed MTS Performance.

Frontiers in psychology·2022
Same author

Organizational science and cybersecurity: abundant opportunities for research at the interface.

Journal of business and psychology·2021
Same author

How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach.

Communication methods and measures·2019
Same journal

System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias.

Human factors·2026
Same journal

Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers' Trust, Monitoring, and Response.

Human factors·2026
Same journal

Modeling Human Expertise in a Sanding Task.

Human factors·2026
Same journal

Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Outcomes.

Human factors·2026
Same journal

What's in a Name? Implications of AI Roles and Mind Perception for Human-AI Teams.

Human factors·2026
Same journal

Safety Climate and Safety Behavior and Outcomes: A Comprehensive Systematic Review in Healthcare From the Perspective of Staff and Patients.

Human factors·2026
See all related articles

Related Experiment Video

Updated: Jun 8, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

Perspective: teams won't solve this problem.

Leslie A DeChurch1, Stephen J Zaccaro

  • 1Department of Psychology, University of Central Florida, Orlando, FL 32816-1390, USA. ldechurc@mail.ucf.edu

Human Factors
|October 15, 2010
PubMed
Summary
This summary is machine-generated.

Complex sociotechnical systems require a shift in focus from individual teams to the larger multiteam system. This new perspective is crucial for understanding and improving these intricate systems.

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Related Experiment Videos

Last Updated: Jun 8, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

  • Sociotechnical Systems Research
  • Applied Psychology
  • Organizational Behavior

Background:

  • Teams are the primary lens for analyzing complex sociotechnical systems.
  • This lens is insufficient due to features like mixed-motive goals and layered social identities.
  • Existing frameworks do not fully capture the complexities of these systems.

Purpose of the Study:

  • Introduce the multiteam system as a novel unit of analysis.
  • Establish multiteam systems as a key area for applied research.
  • Provide a framework for understanding complex sociotechnical systems.

Main Methods:

  • Reviewing key findings from multiteam systems research.
  • Analyzing studies within the special issue.
  • Focusing on focal constructs and the unit of analysis.

Main Results:

  • Progress in understanding complex sociotechnical systems is evident.
  • A shift in the unit of analysis from team to system level is necessary.
  • The multiteam system offers a more appropriate analytical level.

Conclusions:

  • Understanding complex sociotechnical systems requires analyzing the macrodynamics of larger team systems.
  • The multiteam system perspective is vital for future research.
  • This perspective can guide the development of tools (e.g., training, IT) to enhance system functioning.