Collaborative Technology and Dimensions of Team Cognition

2013 ◽  
Vol 4 (3) ◽  
pp. 22-37 ◽  
Author(s):  
Hayward P. Andres
Keyword(s):  
Mental Model ◽  
Team Learning ◽  
Second Order ◽  
Team Cognition ◽  
First Order ◽  
Interaction Quality ◽  
Order Construct ◽  
Team Mental Model ◽  
Learning Team ◽  
Collaboration Mode

The purpose of this study was to explore team cognition as a multidimensional activity comprised of team learning, team reflexivity, and team mental model during project teamwork. A laboratory experiment was conducted to examine the effects of two different modes of collaboration – face-to-face and technology-mediated collaboration on team cognition and its subsequent impact on task outcomes. Team cognition was represented as a second-order construct comprised of three first-order dimensions. A direct-observation rating scale used to derive measures of the first-order dimensions was shown to have strong psychometric properties. The partial least squares method was used to test a structural equation model where the second-order construct was presented as a mediator between collaboration mode and task outcomes (productivity and interaction quality). As hypothesized, team cognition significantly influenced productivity and interaction quality outcomes. Further, collaboration mode significantly improved team cognition through its specific effects on the team learning, team reflexivity, and team mental model development. The main contribution of the study lies in its finding that team cognition can be viewed as a hierarchical construct that accounts for distinct yet cognition-related behaviors. This finding offers an extension to current related research models and identifies behavioral indicators that can be monitored by project managers in developing prescriptive measures aimed at promoting project success.

Collaborative Technology and Dimensions of Team Cognition

2017 ◽  
pp. 226-242
Author(s):  
Hayward P. Andres
Keyword(s):  
Mental Model ◽  
Team Learning ◽  
Second Order ◽  
Team Cognition ◽  
First Order ◽  
Interaction Quality ◽  
Order Construct ◽  
Team Mental Model ◽  
Learning Team ◽  
Collaboration Mode

The purpose of this study was to explore team cognition as a multidimensional activity comprised of team learning, team reflexivity, and team mental model during project teamwork. A laboratory experiment was conducted to examine the effects of two different modes of collaboration – face-to-face and technology-mediated collaboration on team cognition and its subsequent impact on task outcomes. Team cognition was represented as a second-order construct comprised of three first-order dimensions. A direct-observation rating scale used to derive measures of the first-order dimensions was shown to have strong psychometric properties. The partial least squares method was used to test a structural equation model where the second-order construct was presented as a mediator between collaboration mode and task outcomes (productivity and interaction quality). As hypothesized, team cognition significantly influenced productivity and interaction quality outcomes. Further, collaboration mode significantly improved team cognition through its specific effects on the team learning, team reflexivity, and team mental model development. The main contribution of the study lies in its finding that team cognition can be viewed as a hierarchical construct that accounts for distinct yet cognition-related behaviors. This finding offers an extension to current related research models and identifies behavioral indicators that can be monitored by project managers in developing prescriptive measures aimed at promoting project success.

scholarly journals Modeling learner-controlled mental model learning processes by a second-order adaptive network model

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255503
Author(s):  
Rajesh Bhalwankar ◽  
Jan Treur
Keyword(s):  
Network Model ◽  
Learning Process ◽  
Mental Model ◽  
Second Order ◽  
Process Models ◽  
Adaptation Process ◽  
Model Learning ◽  
Network Adaptation ◽  
First Order ◽  
Learning By Observation

Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different elements is crucial. By controlling the timing of them, the mental network adaptation process becomes adaptive itself, which is called second-order mental network adaptation. In this paper, a second-order adaptive mental network model is proposed addressing this. The first-order adaptation process models the learning process of mental models and the second-order adaptation process controls the timing of the elements of this learning process. It is illustrated by a case study for the learner-controlled mental model learning in the context of driving a car. Here the learner is in control of the integration of learning by observation and learning by instruction.

Let's Think Together! Assessing Shared Mental Models, Performance, and Trust in Human-Agent Teams

2022 ◽  
Vol 6 (GROUP) ◽  
pp. 1-29
Author(s):  
Beau G. Schelble ◽  
Christopher Flathmann ◽  
Nathan J. McNeese ◽  
Guo Freeman ◽  
Rohit Mallick
Keyword(s):  
Mental Model ◽  
Cooperative Work ◽  
Computer Supported Cooperative Work ◽  
Team Composition ◽  
Team Cognition ◽  
Human Agent ◽  
Unique Nature ◽  
Agent Teams ◽  
Team Mental Model ◽  
The Impact

An emerging research agenda in Computer-Supported Cooperative Work focuses on human-agent teaming and AI agent's roles and effects in modern teamwork. In particular, one understudied key question centers around the construct of team cognition within human-agent teams. This study explores the unique nature of team dynamics in human-agent teams compared to human-human teams and the impact of team composition on perceived team cognition, team performance, and trust. In doing so, a mixed-method approach, including three team composition conditions (all human, human-human-agent, human-agent-agent), completed the team simulation NeoCITIES and completed shared mental model, trust, and perception measures. Results found that human-agent teams are similar to human-only teams in the iterative development of team cognition and the importance of communication to accelerating its development; however, human-agent teams are different in that action-related communication and explicitly shared goals are beneficial to developing team cognition. Additionally, human-agent teams trusted agent teammates less when working with only agents and no other humans, perceived less team cognition with agent teammates than human ones, and had significantly inconsistent levels of team mental model similarity when compared to human-only teams. This study contributes to Computer-Supported Cooperative Work in three significant ways: 1) advancing the existing research on human-agent teaming by shedding light on the relationship between humans and agents operating in collaborative environments, 2) characterizing team cognition development in human-agent teams; and 3) advancing real-world design recommendations that promote human-centered teaming agents and better integrate the two.

scholarly journals Measuring Total Rewards Satisfaction: A Scale Development Study

2021 ◽  
Author(s):  
Jeeta Sarkar
Keyword(s):  
Higher Order ◽  
Second Order ◽  
Dimensional Structure ◽  
Factor Analyses ◽  
Reliable Measure ◽  
Data Set ◽  
First Order ◽  
Total Rewards ◽  
Order Construct ◽  
Confirmatory Analysis

<p></p><div> <p></p><p>Total Rewards Strategy has been used as a viable strategy to motivate and retain employees across sectors. It has also been widely studied by the scholars and researchers across the globe leading to a number of scales measuring total rewards measuring preferences, and perceptions, ignoring its satisfaction aspect. However, the existing scales have been found to display construct related weaknesses in terms of under-representation of total rewards as a multidimensional construct and measuring it as a reflective higher-order construct. Analyzing findings of literature review and factor analyses, the authors confirm total rewards as a second-order formative construct. The purpose of this study is to develop a valid and reliable measure of total rewards satisfaction (TRS) as a formative higher order construct. Different phases of quantitative validations were carried out with a new data set for each of the studies viz. content validity (n = 13 experts), exploratory factor analysis (n = 180) for determining factorial structure of the scale, first-order confirmatory composite analysis (n = 215) and second-order confirmatory analysis (n= 120) confirm a six-dimensional structure of 23-item TRS scale. The psychometric properties of the scale have also been reported. The scale demonstrates internal consistence, reliability and construct validity.</p><br><p></p></div><p></p>

scholarly journals Estimating hierarchical constructs using consistent partial least squares

2017 ◽  
Vol 117 (3) ◽  
pp. 459-477 ◽  
Author(s):  
Allard C.R. van Riel ◽  
Jörg Henseler ◽  
Ildikó Kemény ◽  
Zuzana Sasovova
Keyword(s):  
Hybrid Approach ◽  
Common Factors ◽  
Simulated Data ◽  
Real Data ◽  
Second Order ◽  
Business Research ◽  
Model Estimate ◽  
Content Type ◽  
First Order ◽  
Order Construct

Purpose Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs. Design/methodology/approach The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research. Findings The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches. Research limitations/implications Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates. Originality/value The three-stage approach is the only consistent approach for modeling, estimating, and testing composite second-order constructs made up of reflectively measured first-order constructs.

Bridging the gap between branding and sustainability by fostering brand credibility and brand attachment in travellers’ hotel choice

2019 ◽  
Vol 32 (4) ◽  
pp. 308-339 ◽  
Author(s):  
Nadzirah Rosli ◽  
Norbani Che Ha ◽  
Ezlika M. Ghazali
Keyword(s):  
Word Of Mouth ◽  
Second Order ◽  
Future Research ◽  
Direct Influence ◽  
Brand Attachment ◽  
Content Type ◽  
First Order ◽  
Brand Credibility ◽  
Order Construct ◽  
The Relationship

Purpose This paper aims to investigate the effects of hotels’ brand attributes on consumers’ (patrons’ and guests’) by fostering brand credibility and brand attachment towards the propensity of word-of-mouth. The study uses the signaling theory to assess the relationships among the constructs. Design/methodology/approach The study adopts partial least squares structural equation modelling (PLS-SEM) approach to validate the research model and the research hypotheses. To test the hypotheses, 474 travellers in Malaysia were recruited. Findings The empirical results reveal that hotel attributes have direct influence on brand credibility and brand attachment. Similarly, brand credibility has direct influence on brand attachment, while brand attachment also has direct influence on word-of-mouth. Consumers’ brand credibility partially mediates the relationship between hotel attributes and brand attachment. Likewise, consumer’s brand attachment also partially mediates the relationship between hotel attributes and word-of-mouth. Last but not least, brand credibility and brand attachment sequentially mediate the relationship between hotel attributes and word-of-mouth. The theoretical and practical implications of this study are discussed together with its limitation and future research direction. Originality/value First, in terms of measures, brand attachment construct is operationalised as a formative second-order construct, with three reflective variables (brand passion, self-brand connection and brand affection) as the first-order constructs. In addition, brand credibility is also operationalised as a formative second-order construct, with three reflective variables (expertise, trustworthiness and attractiveness) as the first-order constructs. On the other hand, hotel attributes construct is operationalised formatively as a higher-order abstraction of three categories of hotel facilities, which were also operationalised formatively (essential, culture compliant and in-room facilities). Second, this paper offers new insight into how brand credibility and brand attachment influence the relationship between hotel attributes and word-of-mouth. In a sustainability era, dissemination of complete and correct information is vital, to ensure consumers’ acceptance (e.g. likelihood to recommend to others). Thus, it is suggested that hotel managers to pay close attention to the role of brand credibility and brand attachment in tourists’ hotel choice, to secure sustainable brand.

scholarly journals Measuring Total Rewards Satisfaction: A Scale Development Study

2021 ◽  
Author(s):  
Jeeta Sarkar
Keyword(s):  
Higher Order ◽  
Second Order ◽  
Dimensional Structure ◽  
Factor Analyses ◽  
Reliable Measure ◽  
Data Set ◽  
First Order ◽  
Total Rewards ◽  
Order Construct ◽  
Confirmatory Analysis

<p></p><div> <p></p><p>Total Rewards Strategy has been used as a viable strategy to motivate and retain employees across sectors. It has also been widely studied by the scholars and researchers across the globe leading to a number of scales measuring total rewards measuring preferences, and perceptions, ignoring its satisfaction aspect. However, the existing scales have been found to display construct related weaknesses in terms of under-representation of total rewards as a multidimensional construct and measuring it as a reflective higher-order construct. Analyzing findings of literature review and factor analyses, the authors confirm total rewards as a second-order formative construct. The purpose of this study is to develop a valid and reliable measure of total rewards satisfaction (TRS) as a formative higher order construct. Different phases of quantitative validations were carried out with a new data set for each of the studies viz. content validity (n = 13 experts), exploratory factor analysis (n = 180) for determining factorial structure of the scale, first-order confirmatory composite analysis (n = 215) and second-order confirmatory analysis (n= 120) confirm a six-dimensional structure of 23-item TRS scale. The psychometric properties of the scale have also been reported. The scale demonstrates internal consistence, reliability and construct validity.</p><br><p></p></div><p></p>

Second-Order Constructs in Structural Equations

2012 ◽  
Vol 2 (4) ◽  
pp. 15-41
Author(s):  
Manel Khadraoui ◽  
Jamel-Eddine Gharbi
Keyword(s):  
Behavioral Intentions ◽  
Positive Relationship ◽  
Perceived Value ◽  
Predictive Ability ◽  
Higher Order ◽  
Structural Equations ◽  
Second Order ◽  
First Order ◽  
Order Construct ◽  
Rigorous Method

Structural equations are extensively used in studies dealing with abstract variables. The authors can choose between first and higher-order constructs but some researchers omit to pursue a rigorous method. Therefore, it is important to know: when is the higher-order construct preferred to the first-order one? In this study, the authors have illustrated this procedure for perceived value and trust. They collected data with students, inviting them to navigate in a website and to fill-in a questionnaire. Results show the superiority of the second-order reflective model for perceived value and trust. The decision is taken relying on theoretical and empirical justifications. The authors have also proven the predictive ability of their variables by confirming their positive relationship with commitment. The latter predicts behavioral intentions. Second-order reflective constructs invite managers to pay attention to all the first-order factors because a negative perception of one of the factors contributes to the deterioration of the second-order construct.

Nonlinear Analysis of Visual Evoked Potentials Elicited by Color Stimulation

1997 ◽  
Vol 36 (04/05) ◽  
pp. 315-318 ◽  
Author(s):  
K. Momose ◽  
K. Komiya ◽  
A. Uchiyama
Keyword(s):  
Visual System ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Normal Subjects ◽  
Second Order ◽  
First Order ◽  
The Relationship ◽  
Perceived Color ◽  
Second Order Nonlinearity ◽  
Visual Evoked

Abstract:The relationship between chromatically modulated stimuli and visual evoked potentials (VEPs) was considered. VEPs of normal subjects elicited by chromatically modulated stimuli were measured under several color adaptations, and their binary kernels were estimated. Up to the second-order, binary kernels obtained from VEPs were so characteristic that the VEP-chromatic modulation system showed second-order nonlinearity. First-order binary kernels depended on the color of the stimulus and adaptation, whereas second-order kernels showed almost no difference. This result indicates that the waveforms of first-order binary kernels reflect perceived color (hue). This supports the suggestion that kernels of VEPs include color responses, and could be used as a probe with which to examine the color visual system.

Sign in / Sign up

Export Citation Format

Share Document