Teams Flashcards
(48 cards)
Hollenbeck et al. (2012)
Beyond team types and taxonomies: a dimensional scaling conceptualization for team description
instead of using the many different team taxonomies, recommend classifying teams using 3 dimensions: (high vs low for each axis)
(a) skill differentiation,
(b) authority differentiation, and
(c) temporal stability
the many team taxonomies that exist are too muddy, lack of parsimony, not all teams can fit in each category and should be seen along a spectrum
dimensions better enable future research; mediators, moderators, better situated to be studied with continuous outcomes b/c the dimensions are continuous and normally distributed (e.g., we aren’t immediately restricting our results)
Mathieu et al. (2015)
Team role experience and Orientation (TREO): a measure and test of construct validity
Experience and orientations = predisposition into 6 different team roles
Organizer, Doer (Task-work oriented)
Challenger, Innovator (Destabilizing/change oriented)
Team Builder, Connector (Socio-emotional)
Connection to role theory: roles could naturally be tied to the formal position, but roles are emergent and not strictly tied to formal structure
Chan (1998)
Functional relations among constructs in the same content domain at different levels of analysis: a typology of composition models
additive, direct consensus, referent-shift, dispersion, and process
additive model: higher level is a direct summation of the lower level units regardless of variance; sum or average lower level scores
direct consensus model: higher level is represented by the degree of consensus among lover level units; within-group agreement
referent-shift consensus model: like direct consensus, but the referent is changed to reflect the group (e.g., my organization feels…)
dispersion model: higher level is represented by dispersion of variance in lower level units; within-group variance (e.g., climate strength, smaller variance is stronger climate)
process model: focuses on the processes of the higher level, which are composed of process parameters at the lower level (e.g., org climate emergence)
Hofmann (1997)
walks through rationale behind using HLM to answer multi-level RQs & provides example
HLM lets us look at
(a) relationships within each level
(b) relationships across hierarchical levels
in HLM, we need to simultaneously estimate two models:
(a) relationships within each of the lower level units
(b) modeling how those relationships vary between units
4 graphs: fixed effects (single line), different intercepts (many lines with same slope), different slopes (same starting point with lines going all different directions), intercepts and slopes vary (all different lines and starting points)
random coefficients, fixed effects, variance-covariance component
Klein & Kozlowski (2000)
From micro to meso: critical steps in conceptualizing and conducting multilevel research
specifies:
3 types of higher level construct (global, shared, configural)
3 types of models (single-level, cross-level, homologous)
describes pros and cons of different ways to justify aggregation and analyze data [e.g., using within-group r]
properties of teams when measuring:
(a) global properties - readily available, easy to observe, not emergent in teams
(b) shared properties - any sort of values, shared experiences, etc that team members have in common [need to justify how you aggregate these in your study]
(c) configural properties - originate / emerge from team members but these capture the array/variability of individual characteristics within the team
Burke (2004)
lists and describes the steps that comprise a team task analysis
Marks et al. (2001)
temporally based framework and taxonomy of team processes
(a) transition phase
(b) action phase
(c) interpersonal processes which occur throughout transition and action phases
figure 2 shows continuum of transition and action phases
transition = mission analysis, goal specification, strategy planning
action = monitoring goal progress, systems, and teams; coordinating efforts throughout
Uitdewilligen et al. (2018)
fluid and stable: dynamics of team action patterns and adaptive outcomes
action patterns (recurring work actions) can predict team effectiveness during stable times
shared taskwork mental models help teams adapt after task changes (increase effectiveness)
teams in firefighting simulations with discontinuous changes
in the later timepoints, high mental models continued to perform well and low mental models decreased after peak performance
Wageman (1995)
interdependence and group effectiveness
examined how task & outcome interdependence impact group effectiveness over time
3x3 matrix of total interdependence, one side is task interdependence and the other is outcome interdependence (individual, hybrid, group, where both on individual is very low and both on group is very high)
groups were MOST EFFECTIVE when tasks and outcomes both were purely individual or purely group (this is all on me or we are all doing this for each other)
hybrid group performed poorly compared to others, lowest quality processes due to weak cooperation norms / interpersonal processes
increased outcome interdependence decreased individual effort
over time, individuals’ autonomy preferences were influenced by an increase of interdependence in their work
Breuer et al. (2020)
used qual interviews and CIT to develop a conceptual model of team trust (perceived trustworthiness in teams -> behavioral intention -> risk taking behaviors in teams); found all elements of model to be present in both virtual and face-to-face teams
Bachrach et al. (2018)
Transactive memory systems (TMS) in context: meta-analytic examination of contextual factors in TMS development and team performance
national culture factors are very important (e.g., power distance) in forming a strong TMS: impact of TMS is stronger where power distance and in-group collectivism are higher.
meta analysis investigating the relationship between
TMS -> performance (task, affective, creative) = all positive
context antecedents -> TMS (team human capital +; informational and gender diversity –; environmental volatility +; leadership +)
moderators (power distance, performance orientation, collectivism) on TMS -> perf = the TMS/performance relationship is stronger negative in contexts with a performance orientation
DeChurch & Mesmer-Magnus (2010)
Team collective cognition (compositional - SMM & compilational - TMS) positively impacts team performance ( r = .38) and also uniquely impacts performance independent of behavior and motivation
Grand et al. (2016)
the dynamics of team cognition: a process-oriented theory of knowledge in teams
investigated the process of team knowledge emergence
provides an explicit conceptualization of how, when, and why team knowledge manifests
Andrews et al. (2023)
human-AI teams
Luciano et al. (2018)
- Shared team experiences
- MTS structure
- Shared team experiences and team effectiveness: unpacking contingent effects of entrained rhythms and task characteristics
main point: Infrequent tasks benefit from high STTS due to better coordination and information processing. But in frequent tasks—especially difficult ones—too much routine familiarity can backfire.
STTS experience = shared-team task-specific experience
Higher Shared Task Team Specific (STTS) experience improves both efficiency and quality outcomes (like patient recovery), particularly in difficult or less routine tasks.
Interpretation: Teams with more shared experience can coordinate, communicate, and adapt more effectively under novel or stressful conditions—critical in crisis response when errors have high stakes.
Familiarity with tasks: An inverted U-shaped relationship suggests that too much familiarity can lead to complacency, reducing vigilance and system monitoring, especially when tasks are difficult. [developing automatic routines when tasks are common]
- Multiteam systems: A structural framework and meso-theory of system functioning
- proposes a framework of MTS structural features (differentiation, dynamism)
- key factors of MTS dynamism = change in goal hierarchy, uncertainty of task requirements, fluidity of the system structural configuration, fluidity of system composition, diversion of attention
- lead to MTS structural forces (boundary-enhancing, disruptive)
- then influence individual affective motives, belonging needs, and cognitive motives which shape team and MTS emergent states
Zaccaro et al. (2012)
*could use as mts cite
intro chapter to book on MTSs
Multiteam systems: an introduction
sample model of MTS effectiveness
compositional attributes, linkage attributes, developmental attributes –> inter and intra multiteam processes –> multiteam effectiveness
Zaccaro et al. (2020)
*could also use as MTS cite
MTS: integrative review and comparison of different forms [annual review]
evaluates whether MTS coordination, leadership, and emergent states differ by:
- boundary status (internal / external)
- component team distance (high / low based on geographical, cultural, functional diversity)
- goal type (intellectual, physical)
Kozlowski et al. (2016)
Team-centric leadership: an integrative review
used a multilevel, IPO temporal framework to review approaches to team leadership:
TFL, LMX, shared leadership, and functional leadership
proposed future research directions:
- capitalize on full multilevel IPO framework
- use team context to bring theoretical convergence to process mediation and contextual moderation
- incorporate time (development and dynamism) in theory and research
- employ innovative research designs (e.g., computational modeling, social network approaches)
Madrid et al. (2014)
Leader affective presence and innovation in teams
affective presence = tendency for individuals to make their interaction partners feel similarly positive or negative
examined the effect of leader affective presence on team effectiveness
results:
leader positive affective presence –> team info sharing –> team innovation
leader negative affective presence –> (-) team info sharing –> (weak -) team innovation
Morgeson et al. (2010)
Leadership in teams: a functional approach to understand leadership structures and processes
sources of leadership:
- locus (internal, external)
- formality (formal, informal)
different types of leadership are most effective in different transition and action processes to help teams accomplish their goals
Zaccaro et al. (2001)
designates sources of leadership (locus: internal; external and formality: formal; informal) and which source of leadership is most useful during different transition and action phases to help teams accomplish their goal
Zettna et al. (2024)
leading out of team silence (added to Steve’s fall 2024)
Burke et al. (2006)
creates a model of team adaptatation and specifies team adaptation as outcome (adaptive team performance is an antecedent)
Mathieu et al. (2019)
review of team effectiveness resarch from 2008-2018 focuses on structural features, compositional features, mediating mechanisms and their overlap; encourages future research to consider dynamism & multilevel aspect of teams