scholarly journals Mental models, team mental models, and performance: Process, development, and future directions

2004 ◽  
Vol 14 (4) ◽  
pp. 331-352 ◽  
Author(s):  
Janice Langan-Fox ◽  
Jeromy Anglim ◽  
John R. Wilson
Keyword(s):  
Mental Models ◽  
Process Development ◽  
Future Directions ◽  
Team Mental Models ◽  
And Performance

scholarly journals Mental Models, Team Mental Models, and Performance: Process, Development, and Future Directions

2018 ◽  
Author(s):  
Janice Langan-Fox ◽  
Jeromy Anglim ◽  
John R Wilson
Keyword(s):  
Mental Models ◽  
Mental Model ◽  
Process Development ◽  
Future Directions ◽  
Research Issues ◽  
Team Mental Models ◽  
Three Phase ◽  
Long Time ◽  
And Performance ◽  
Team Mental Model

Since the 1940s, researchers have grappled with the notion of a mental model. The concept is eminently reasonable and somewhat seductive, but presents us with a number of difficulties regarding its incompleteness, multiplicity, and inconsistency. Not the least of these difficulties is the problem of “capturing” (measuring) mental models, and still more difficult, capturing a team mental model, an extension of the earlier term. Once captured, finding an appropriate analytic procedure to analyze team mental models has challenged researchers for a long time. Nonetheless, the literature suggests that the construct is well worth the trouble, with many applied benefits especially to industry. In the present work we set out to (a) review the notion of team mental models (TMM); (b) identify the key concepts and thinking behind their development; (c) demonstrate how they support teamworking performance; and (d) outline a three‐phase model of TMM development. Details on TMM measurement are given, before concluding with a discussion of the difficulties facing researchers who wish to study and utilize the notion, and some of the pressing research issues that need investigation.

Team mental model characteristics and performance in a simulation experiment

2016 ◽  
Vol 39 (8) ◽  
pp. 899-924 ◽  
Author(s):  
Yi Yang ◽  
V.K. Narayanan ◽  
Yamuna Baburaj ◽  
Srinivasan Swaminathan
Keyword(s):  
Mental Models ◽  
Performance Feedback ◽  
Mental Model ◽  
Simulation Experiment ◽  
Strategic Decision ◽  
Content Type ◽  
Team Mental Models ◽  
And Performance ◽  
Team Mental Model ◽  
The Relationship

Purpose This paper aims to examine the relationship between the characteristics of strategic decision-making team’s mental model and its performance. The authors propose that the relationship between mental models and performance is two-way, rather than one-way. Thus, performance feedback should, in turn, influence strategic behavior and future performance by either triggering or hindering the learning process. Design/methodology/approach The authors conduct the research in the setting of a simulation experiment. A longitudinal data set was collected from 36 teams functioning as strategic decision makers over three periods. Findings This study provides support for the positive impacts of both the complexity and centrality of a team’s mental model on its performance. The authors also find that positive performance feedback reduces changes in complexity and centrality of team mental models due to cognitive inertia. Originality/value The study contributes to the literature by investigating the specific mechanisms that underlie mental model evolution. Different from the existing studies on team mental models that mainly focus on similarity of these shared cognitive structures, this study examines another two characteristics of team mental model, complexity and centrality, that are more relevant to the strategic decision-making process but has not been extensively studied in the team literature. In addition, this study reveals that performance feedback has different effects on team mental models depending on the referents – past performance or social comparison – which advances the understanding of the learning effects of performance feedback.

scholarly journals Fluorogenic Aptasensors with Small Molecules

Chemosensors ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 54
Author(s):  
Eun-Song Lee ◽  
Jeong Min Lee ◽  
Hea-Jin Kim ◽  
Young-Pil Kim
Keyword(s):  
Small Molecules ◽  
In Vitro Selection ◽  
Molecular Beacon ◽  
Future Directions ◽  
Rna Molecules ◽  
Amplification Process ◽  
Target Molecules ◽  
And Performance ◽  
Fluorescence Turn On

Aptamers are single-stranded DNA or RNA molecules that can be identified through an iterative in vitro selection–amplification process. Among them, fluorogenic aptamers in response to small molecules have been of great interest in biosensing and bioimaging due to their rapid fluorescence turn-on signals with high target specificity and low background noise. In this review, we report recent advances in fluorogenic aptasensors and their applications to in vitro diagnosis and cellular imaging. These aptasensors modulated by small molecules have been implemented in different modalities that include duplex or molecular beacon-type aptasensors, aptazymes, and fluorogen-activating aptamer reporters. We highlight the working principles, target molecules, modifications, and performance characteristics of fluorogenic aptasensors, and discuss their potential roles in the field of biosensor and bioimaging with future directions and challenges.

scholarly journals A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 232
Author(s):  
Janneth Chicaiza ◽  
Priscila Valdiviezo-Diaz
Keyword(s):  
Recommender Systems ◽  
Survey Result ◽  
Knowledge Graph ◽  
Specific Recommendation ◽  
Future Directions ◽  
Recent Developments ◽  
Comprehensive Survey ◽  
System 2 ◽  
And Performance ◽  
Use Of Knowledge

In recent years, the use of recommender systems has become popular on the web. To improve recommendation performance, usage, and scalability, the research has evolved by producing several generations of recommender systems. There is much literature about it, although most proposals focus on traditional methods’ theories and applications. Recently, knowledge graph-based recommendations have attracted attention in academia and the industry because they can alleviate information sparsity and performance problems. We found only two studies that analyze the recommendation system’s role over graphs, but they focus on specific recommendation methods. This survey attempts to cover a broader analysis from a set of selected papers. In summary, the contributions of this paper are as follows: (1) we explore traditional and more recent developments of filtering methods for a recommender system, (2) we identify and analyze proposals related to knowledge graph-based recommender systems, (3) we present the most relevant contributions using an application domain, and (4) we outline future directions of research in the domain of recommender systems. As the main survey result, we found that the use of knowledge graphs for recommendations is an efficient way to leverage and connect a user’s and an item’s knowledge, thus providing more precise results for users.

Gender Differences in the Psychology of Competition

2021 ◽  
Author(s):  
Kathrin J. Hanek
Keyword(s):  
Gender Differences ◽  
Role Theory ◽  
Social Role ◽  
Gender Composition ◽  
Social Psychological ◽  
Social Role Theory ◽  
Future Directions ◽  
Competitive Environments ◽  
And Performance ◽  
And Gender

Drawing primarily on the literature in experimental economics and social psychology, this article reviews key findings on gender differences for two aspects of competitiveness and competition: entry preferences and performance. Although women, relative to men, have been shown to shy away from competition and underperform in competitive environments, this article also discusses boundary conditions for these effects, such as the nature of the task or gender composition of the group, and highlights manifestations of these effects in applied domains, including in negotiations, the labor market, educational settings, and sports. Adopting social psychological frameworks of prescriptive norms and stereotypes, particularly social role theory, this article examines ways in which gender-incongruencies may underpin gender gaps in competition and gender-congruencies may alleviate them. Finally, this article considers implications for individuals and institutions as well as future directions in the field to continue finding ways to close gaps.

scholarly journals Intellectual Capital and Operational Excellence: An Influential Assessment

2020 ◽  
Vol 5 (6) ◽  
pp. 1062-1076
Author(s):  
Pavitra Dhamija
Keyword(s):  
Intellectual Capital ◽  
Operations Management ◽  
Performance Standards ◽  
Sustainable Operations ◽  
Future Directions ◽  
Behavioural Research ◽  
Sustainable Operations Management ◽  
And Performance ◽  
Operational Excellence ◽  
Operational Processes

Competent intellectual capital is one of the most essential wealth that an organization requires in the present era of cutthroat competition. Operations management is nothing but management of operational processes in every big and small organization, and such activities constitute a major chunk of all organizational activities. Therefore, the present work targets to explore the association between intellectual capital and operational excellence, review of already conducted studies in the said area, and future directions through systematic literature review process. A total number of 165 articles provided by Scopus database (2010 to 2019) is used for analysis and interpretation. Bibliometric analysis and network analysis deliver significant clusters (operations management and optimization; intellectual capital and intellectual investment; knowledge management and decision support system; strategic planning and resource allocation; sustainable operations management and performance standards; behavioural research and change management), which is in turn a novel contribution of this article. The study concludes with a proposed conceptual model and key take away for researchers, academicians, and managers.

A knowledge capture approach for directly acquiring team mental models

2016 ◽  
Vol 96 ◽  
pp. 12-21 ◽  
Author(s):  
Harry S. Delugach ◽  
Letha H. Etzkorn ◽  
Sandra Carpenter ◽  
Dawn Utley
Keyword(s):  
Mental Models ◽  
Knowledge Capture ◽  
Team Mental Models
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