Effect of Temporal Patterns on Task Cohesion in Global Software Development Teams

被引:0
作者
Castro-Hernandez, Alberto [1 ]
Perez-Rosas, Veronica [2 ]
Swigger, Kathleen [3 ]
机构
[1] Wayne State Univ, Comp Sci & Engn, Detroit, MI 48202 USA
[2] Univ Michigan, Comp Sci & Engn, Ann Arbor, MI 48109 USA
[3] Univ North Texas, Comp Sci & Engn, Denton, TX 76203 USA
来源
COMPUTACION Y SISTEMAS | 2022年 / 26卷 / 02期
基金
美国国家科学基金会;
关键词
Virtual groups; cross-culture communication; teamwork; task cohesion;
D O I
10.13053/CyS-26-2-4256
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work focuses on the analysis of temporal measures and their ability to predict task cohesion within global software development projects. Messages were collected from three software development projects that involved students from two different countries. The similarities and quantities of these interactions were computed and analyzed at individual and group levels. We proposed pacing similarity, pacing rate and synchrony, a set of temporal metrics measuring frequency and rhythm of team member's interactions. Results showed a statistically significant negative correlation between pacing rate and task cohesion, which suggests that frequent communications increases the cohesion between team members. The study also found a positive correlation between synchrony and task cohesion, which indicates the importance of establishing a communication rhythm within members a team. In addition, the temporal models at individual and group-levels were found to be good predictors of task cohesion, which indicates the existence of a strong effect of frequent and rhythmic communications on cohesion related to the task.
引用
收藏
页码:867 / 873
页数:7
相关论文
共 12 条
[1]  
[Anonymous], 2012, CHANGING GROUP DYNAM
[2]  
Brooks Ian, 2013, 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2013), P371, DOI 10.4108/icst.collaboratecom.2013.254152
[3]  
Brooks I., 2012, 2012 International Conference on Collaboration Technologies and Systems (CTS), P517, DOI 10.1109/CTS.2012.6261099
[4]   The measurement of cohesion in work teams [J].
Carless, SA ;
De Paola, C .
SMALL GROUP RESEARCH, 2000, 31 (01) :71-88
[5]   Effects of Cohesion-Based Feedback on the Collaborations in Global Software Development Teams [J].
Castro-Hernandez, Alberto ;
Swigger, Kathleen ;
Ponce-Flores, Mirna P. .
2014 INTERNATIONAL CONFERENCE ON COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING (COLLABORATECOM), 2014, :74-83
[6]   Language Style Matching as a Predictor of Social Dynamics in Small Groups [J].
Gonzales, Amy L. ;
Hancock, Jeffrey T. ;
Pennebaker, James W. .
COMMUNICATION RESEARCH, 2010, 37 (01) :3-19
[7]  
Goodman P.S., 1987, Understanding groups in organizations
[8]  
Gottman J., 1981, TIME SERIES ANAL COM, V400
[9]   Measuring group efficacy in virtual teams - New questions in an old debate [J].
Hardin, AM ;
Fuller, MA ;
Valacich, JS .
SMALL GROUP RESEARCH, 2006, 37 (01) :65-85
[10]   Linguistic style matching in social interaction [J].
Niederhoffer, KG ;
Pennebaker, JW .
JOURNAL OF LANGUAGE AND SOCIAL PSYCHOLOGY, 2002, 21 (04) :337-360