42 resultados para Team performance

em Deakin Research Online - Australia


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* Threats to patient safety during clinical handover have been identified as an ongoing problem in health care delivery.

* In complex handover situations, organisational, cultural, behavioural and environmental factors associated with team performance can affect patient safety by undermining the stability of team functioning and the effectiveness of interprofessional communication.

* We present a practical framework for promoting systematic, comprehensive measurement of the factors involved in clinical handover.

* The framework can be used to develop viable solutions to the problems of clinical handover.

* The framework was devised and used in a recent project examining interprofessional communication and team performance during clinical handover in post-anaesthetic care units.

* The framework combines five key concepts: clinical governance, clinician engagement, ecological validity, safety culture and team climate, and sustainability.

* We believe that use of this framework will help overcome the limitations of previous research that has not taken into account the complex and multifaceted influences on clinical handover and interprofessional communication.

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Purpose – The purpose of this editorial is to introduce the special issue on the relationship of performance management to sports teams.

Design/methodology/approach – The paper explains the importance of performance management to sports teams and justifies the need for the special issue.

Findings – The paper finds that there are a variety of different types of teams that operate in the sports context, including professional league teams, college teams, teams at the workplace, volunteer teams and coaching teams.

Originality/value – This editorial provides an overview of this special issue, which comprises eight original papers that are best practice examples of the latest developments in the research on teams in the sports context. Each of these articles is briefly discussed in terms of its contribution to the literature.

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This paper discusses the effects of team structure on the performance of design teams. Three types of team structures are differentiated on the basis of the functional and social groups that result from task dependencies and interaction opportunities. The reported findings are based upon results from simulation-based studies using a computational model. Differences across the team structures are investigated through a series of simulations in which the team membership and the workload busyness of the team members are independent variables, and the team performance and formation of team mental models are the dependent variables. Team performance is measured in terms of the ability of the team members to coordinate the set of tasks the team needs to perform. Findings suggest that, in general, flat teams facilitate formation of team mental models, while functional teams are best for efficient task coordination.

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This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

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Context Over the past 50 years numerous studies have investigated the possible effect that software engineers' personalities may have upon their individual tasks and teamwork. These have led to an improved understanding of that relationship; however, the analysis of personality traits and their impact on the software development process is still an area under investigation and debate. Further, other than personality traits, "team climate" is also another factor that has also been investigated given its relationship with software teams' performance. Objective The aim of this paper is to investigate how software professionals' personality is associated with team climate and team performance. Method In this paper we detail a Systematic Literature Review (SLR) of the effect of software engineers' personality traits and team climate on software team performance. Results Our main findings include 35 primary studies that have addressed the relationship between personality and team performance without considering team climate. The findings showed that team climate comprises a wide range of factors that fall within the fields of management and behavioral sciences. Most of the studies used undergraduate students as subjects and as surrogates of software professionals. Conclusions The findings from this SLR would be beneficial for understanding the personality assessment of software development team members by revealing the traits of personality taxonomy, along with the measurement of the software development team working environment. These measurements would be useful in examining the success and failure possibilities of software projects in development processes. General terms Human factors, performance.

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Both the learning organization literature and the self-managed work team literature have alluded to the potential links between teamwork and learning. However, as yet the link between these two concepts remains undeveloped. This study uses a survey of a random sample of 200 Australian organizations to empirically examine the relationships between self-managed work teams and the learning organization using performance indicators as a medium. It was found that the learning organization concept displays a moderate to strong link with three measures of performance used in this study: knowledge performance, financial performance and customer satisfaction. Although the self-managed work team concept did not display any significant relationship with performance, the qualitative component of the survey did emphasize that there is a common belief that self-managed teams can increase performance in the right setting. While an insignificant relationship between self-managed teams and the learning organization was also found, this study suggests some methodological concerns for future research into the relationship between self-managed teams and the learning organization.

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BACKGROUND : Team-based learning is an integral part of engineering education today. Development of team skills is now a part of the curriculum at universities as employers demand these skills on graduates. Higher education institutions enforce academic staff to teach, practise and assess team skills, and at the same time, they ask academic staff to supply individual marks and/or grades. Allocating individual marks from a team mark is a very complex and sensitive task that may adversely affect both individual and team performance. A number of both qualitative and quantitative methods are available to address this issue. Quantitative mathematical methods are favoured over qualitative subjective methods as they are more straightforward to explain to the students and they may help minimise conflicts between assessors and students. PURPOSE : This study presents a review of commonly used mathematical equations to allocate individual marks from a team mark. Quantitative analytical equations are favoured over qualitative subjective methods because they are more straightforward to explain to the students and if explained to the students in advance, they may help minimise conflicts between assessors and students. Some of these analytical equations focus primarily on the assessment of the quality of teamwork product (product assessment) while the others put greater emphasis on the assessment of teamwork performance (process assessment). The remaining equations try to strike a balance between product assessment and process assessment. The primary purpose of this study is to discuss the qualitative aspects of quantitative equations. DESIGN/METHOD : This study simulates a set of scenarios of team marks and individual contributions that collectively cover all possible teamwork assessment environments. The available analytical equations are then applied to each case to examine their relative merits with respect to a set of evaluation criteria with exhaustive graphical plots. RESULTS : Although each analytical equations discussed and analysed in this study has its own merits for a particular application scenario, the recent methods such as knee formula in SPARKPLUS and cap formula, are relatively better in terms of a number of evaluation criteria such as fairness, teamwork attitude, balance between process and product assessments etc. In addition to having all favourable properties of knee formula, cap formula explicitly considers the quality of teamwork (i.e., team mark) while allocating individual marks. Cap formula may, however, be difficult to explain to the students due to relatively complex mathematical equations involved. CONCLUSIONS : Not all existing analytical equations that allocate individual marks from a team mark have similar characteristics. Recent methods, knee formula and cap formula, are advantageous in terms of a number of evaluation criteria and are recommended to apply in practice. However, it is important to examine these equations with respect to enhancing students’ learning achievements rather than the students and academic staff’s preferences.

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During recent decades, organisations have shifted towards team-based structures to enhance organisational performance, and research has shifted to investigate these new work structures. This chapter explores team and group process research in organisations. The initial focus of this chapter is to define groups and teams. Types of teams and team development theory will also be briefly discussed. Several theories of group dynamics will then be presented. The input-process-output framework, which explains the relationships between variables in team research, will provide structure to the ensuing discussion of team-related variables, such as individual and team-level characteristics, team and group processes and team performance. A frequent goal of group and team-based research is to understand how to improve team effectiveness and thus performance. Team performance is therefore included in this framework as an important outcome variable. This framework is then extended and a contemporary way of categorising team-based research in organisations is presented. In addition, the potentially important role of moderating variables in team research will also be discussed.

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We focus on cross-cultural team effectiveness for MBA students involvedin an immersion program, examining the development of knowledgeabout cultural traits, the challenges associated with teamwork, andfactors that promote or hinder team performance, based on qualitativeresults of a survey of 20 students who participated in the program. Keyobserved traits included; Indonesians were perceived to becollectivist/relationship, Australians were laid back, informal but taskfocused, and Americans were hard working and outspoken. Keychallenges faced by students included managing cultural differences,culturally embedded decision-making styles and communication/language hurdles. Team performance was facilitated by acknowledgingand addressing cultural issues from the start, not being ethnocentric,valuing team diversity, and focusing on task completion.

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Information technology has transformed the “heartland” of education around the world. Classrooms are global, students international, but traditional methods and their adjacent challenges persist or are exacerbated in online schoolhouses. There is reason to believe that team performance of online students completing team projects can be significantly improved by the active participation of a facilitator. What could explain such improvement? Given the communication barriers that learners can experience using e-learning technologies, the skill of a teacher at facilitating an understanding of e-collaboration and the prescient need to facilitate collaborative skills at all times is essential to a successful educational result. There may also be generational learning style issues to consider. One practical, proven tool is progress reporting. This paper reviews the literature and reflects on author experiences in the online education of Management students at universities in the United States and Australia to draw theoretical connections with communication, leadership, and punctuated equilibrium relevant to contemporary educational practice. The implications of effective facilitation of student teams for Management education and management of student performance are explored.

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Aims: To describe a funded proposal for the development of an on-line evidence based educational program for the management of deteriorating patients.
Background: There are international concerns regarding the management of deteriorating patients with issues around the ‘failure to rescue’. The primary response to these issues has been the development of medical emergency teams with little focus on the education of primary first responders.
Design/Methods: A mixed methods triangulated convergent design. In this four phase proposal we plan to 1. examine nursing student team ability to manage deteriorating patients and based upon these findings 2. develop web based educational material, including interactive scenarios. This educational material will be tested and refined in the third Phase 3, prior to evaluation and dissemination in the final phase.
Conclusion: This project aims to enhance knowledge development for the management of deteriorating patients through rigorous assessment of team performance and to produce a contemporary evidence-based online training program.

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This article argues that it is not just trust-generating but also trust-inhibiting mechanisms that operate in teams, and that these cooperative and competitive structures of interpersonal relations of trust within teams may affect team performance. Specifically, we propose that the presence of trust-generating structures (e.g., reciprocity, trusting in the referrals of others we trust, trusting in high performers and more experienced people) and the absence of trust-inhibiting structures (e.g., not trusting in the referrals of others we trust) are more likely to be associated with successful teams. Using exponential random graph models, a particular class of statistical model for social networks, we examine three professional sporting teams from the Australian Football League for the presence and absence of these mechanisms of interpersonal relations of trust. Quantitative network results indicate a differential presence of these postulated structures of trust relations in line with our hypotheses. Qualitative comparisons of these quantitative findings with team performance measures suggest a link between trust-generating and trust-inhibiting mechanisms of trust and team performance. Further theorization on other trust-inhibiting structures of trust relations and related empirical work is likely to shed further light on these connections.

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Conventional wisdom suggests that group cohesion is strongly related to performance. This may be based on the notion that better cohesion leads to the sharing of group goals. However, empirical and meta-analytic studies have been unable to consistently demonstrate a relationship between cohesion and performance. Partially, this problem could be attributed to the disagreement on the precise definition of cohesion and its components. Further, when the cohesion construct is evaluated under Cohen’s Cumulative Research Program (CRP), it is surprisingly found to belong to the category of early-to-intermediate stage of theory development. Therefore, a thorough re-examination of the cohesion construct is essential to advance our understanding of the cohesion-productivity relationship. We propose a qualitative approach because it will help establish the definitions, enable us to better test our theories about cohesion and its moderators, and provide insights into how best to enlist cohesion to improve team performance.

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Rapid Response Teams (RRTs) are specialised teams introduced into hospitals to improve the outcomes of deteriorating ward patients. Although Rapid Response Systems (RRSs) were developed by the intensive care unit (ICU) community, there is variability in their delivery, and consultant involvement, supervision and leadership appears to be relatively infrequent. In July 2014, the Australian and New Zealand Intensive Care Society (ANZICS) convened the first conference on the role of intensive care medicine in RRTs in Australia and New Zealand. The conference explored RRSs in the broader role of patient safety, resourcing and staffing of RRTs, effect on ICU workload, different RRT models, the outcomes of RRT patients and original research projects in the area of RRSs. Issues around education and training of both ICU registrars and nurses were examined, and the role of team training explored. Measures to assess the effectiveness of the RRS and RRT at the level of health system and hospital, team performance and team effectiveness were discussed, and the need to develop a bi-national ANZICS RRT patient database was presented. Strategies to prevent patient deterioration in the 'pre-RRT' period were discussed, including education of ward nurses and doctors, as well as an overarching governance structure. The role of the ICU in deteriorating ward patients was debated and an integrated model of acute care presented. This article summarises the findings of the conference and presents recommendations on the role of intensive care medicine in RRTs in Australia and New Zealand.

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Evidence from our systematic literature review revealed numerous inconsistencies in findings from the Pair Programming (PP) literature regarding the effects of personality on PP's effectiveness as a pedagogical tool. In particular: i) the effect of differing personality traits of pairs on the successful implementation of pair-programming (PP) within a higher education setting is still unclear, and ii) the personality instrument most often used had been Myers-Briggs Type Indicator (MBTI), despite being an indicator criticized by personality psychologists as unreliable in measuring an individual's personality traits. These issues motivated the research described in this paper. We conducted a series of five formal experiments (one of which was a replicated experiment), between 2009 and 2010, at the University of Auckland, to investigate the effects of personality composition on PP's effectiveness. Each experiment looked at a particular personality trait of the Five-Factor personality framework. This framework comprises five broad traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism), and our experiments focused on three of these - Conscientiousness, Neuroticism, and Openness. A total of 594 undergraduate students participated as subjects. Overall, our findings for all five experiments, including the replication, showed that Conscientiousness and Neuroticism did not present a statistically significant effect upon paired students' academic performance. However, Openness played a significant role in differentiating paired students' academic performance. Participants' survey results also indicated that PP not only caused an increase in satisfaction and confidence levels but also brought enjoyment to the tutorial classes and enhanced students' motivation.