Using Sociometry to Predict Team Performance in the Work Place

Lucius, Randall H.; Kuhnert, Karl W.

doi:10.1080/00223989709603501

Cited by 31 publications

(18 citation statements)

References 11 publications

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“…One recent study applied sociometry to predict team performance of military squads. It found that network density, as a measure of mutual social preference among team members, was positively correlated with job performance and team satisfaction (Lucius and Kuhnert 1997). The study could not find an association of density with team cohesion, however.…”

Section: Figure 1 Social Network Formed By Systems Engineers Spanningmentioning

confidence: 67%

3.2.4 Social Networks of Systems Engineers in Integrated Product Development

Smyre

Dooley

1998

INCOSE International Symp

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Can an organization with low process skills reasonably expect to hire contract engineers to increase process skills within a project? This paper examines one large product development project where personnel strength was increased by the addition of contract systems engineers. The study focuses on the social networks formed by contract systems engineers with each other and with staff engineers, looking for clusters which correspond to product development teams and the system integration team. Using social network analyses, this paper examines propositions that team boundaries will be distinguishable through roles or positions of individuals, and that system integration teams will occupy more centralized positions than contributing product development teams.Although results of this study are mixed, social network analysis is emerging as a tool with potential to measure quality of team participation and predict team performance -key process areas for managing organizational maturity.

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Section: Figure 1 Social Network Formed By Systems Engineers Spanningmentioning

confidence: 67%

3.2.4 Social Networks of Systems Engineers in Integrated Product Development

Smyre

Dooley

1998

INCOSE International Symp

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“…When tracking the team interactions, the team map shows lines that are thicker when individuals spend more time together, talk to each other more often, engage in more teamrelated communication, or instruct, discipline, or praise each other. 13 We analyzed case-and patient-level data using the program IBM SPSS Statistics 20 for WindowsÒ to tally categorical data (ie, total number of staff involved in each case, staff role, ASA status) and measured length of procedure in minutes. We calculated the median and interquartile range (IQR) for length of procedure.…”

Section: Discussionmentioning

confidence: 99%

“…13,21 It is a powerful tool because it illustrates social interactions among group members based on a chosen criterion, which may facilitate understanding of a group. Sociometry is particularly useful in revealing the links between individuals within the group.…”

Section: Significance To Nursingmentioning

confidence: 99%

“…Sociometry is a method that can be used to map team membership to discover existing relationships among these individuals and for disclosing the structure of the group itself. 12,13 Using data sets from the electronic health record (EHR) for purposes beyond clinical documentation, billing, and administration is rapidly increasing. 14 Best of all, these data are routinely collected as part of the OR electronic register that records surgical information about the surgical procedure details, staff attendance, and skill mix.…”

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confidence: 99%

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Surgical Team Mapping: Implications for Staff Allocation and Coordination

Sykes¹,

Gillespie²,

Chaboyer³

et al. 2015

AORN Journal

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Perioperative team membership consistency is not well researched despite being essential in reducing patient harm. We describe perioperative team membership and staffing across four surgical specialties in an Australian hospital. We analyzed staffing and case data using social network analysis, descriptive statistics, and bivariate correlations and mapped 100 surgical procedures with 171 staff members who were shared across four surgical teams, including 103 (60.2%) nurses. Eighteen of 171 (10.5%) staff members were regularly shared across teams, including 12 nurses, five anesthetists, and one registrar. We found weak but significant correlations between the number of staff (P < .001), procedure start time (P < .001), length of procedure (P < .05), and patient acuity (P < .001). Using mapping, personnel can be identified who may informally influence multiple team cultures, and nurses (ie, the majority of team members in surgery) can lead the development of highly functioning surgical teams.

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“…The network uncovered by sociometric questions can also be easily related to concepts such as communication satisfaction, commitment, and identification. Groups in a network often develop unique characteristics, which can be uncovered using statistical techniques (Lucius & Kuhnert, 1997).…”

Section: Sociometric Questioningmentioning

confidence: 99%

Auditing Information Structures in Organizations: A Review of Data Collection Techniques for Network Analysis

Zwijze‐Koning

Jong

2005

Organizational Research Methods

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Odiorne (1954) was the first researcher to use this term in the academic literature. He developed and used an audit to measure the accuracy and completeness of information transmitted between a company's management and its engineering staff. What is now considered an obvious audit result was a remarkable finding back then: The engineers felt surprisingly uninformed. Findings like these stress the importance of evaluating the quality of internal communication on a regular basis.

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Using Sociometry to Predict Team Performance in the Work Place

Cited by 31 publications

References 11 publications

3.2.4 Social Networks of Systems Engineers in Integrated Product Development

3.2.4 Social Networks of Systems Engineers in Integrated Product Development

Surgical Team Mapping: Implications for Staff Allocation and Coordination

Auditing Information Structures in Organizations: A Review of Data Collection Techniques for Network Analysis

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