scholarly journals How Social Media-Enabled Communication Awareness Enhances Project Team Performance

2018 ◽  
Vol 19 ◽  
pp. 813-856 ◽  
Author(s):  
Oliver Krancher ◽  
◽  
Jens Dibbern ◽  
Paul Meyer ◽  
◽  
...  
Keyword(s):  
Social Media ◽  
Team Performance ◽  
Project Team

Strategic Human Capital, Team Composition and Project Team Performance

2016 ◽  
pp. 106-122
Author(s):  
Francesca Vicentini ◽  
Paolo Boccardelli
Keyword(s):  
Human Capital ◽  
Team Performance ◽  
Project Performance ◽  
Project Team ◽  
Team Composition ◽  
Individual Level ◽  
Strategic Human Capital ◽  
The Individual ◽  
Temporary Teams

This chapter seeks to explore what characteristic of human capital at the individual level links to the performance in project-based organizations (PBOs). In particular, we are interested in the enriching of the individual flexibility construct, which has received minimal investigation from the strategic literature. Moreover, the challenges inherent to this topic are arguably more acute in PBOs, where temporary teams are strategically relevant to the success of the performance and individuals need to be more flexible in order to contribute to high levels of project performance. In particular, we support the idea that the flexibility of members enrolled within teams may influence positively the project performance.

The influence of team social media usage on individual knowledge sharing and job performance from a cross-level perspective

2019 ◽  
Vol 40 (5) ◽  
pp. 553-573
Author(s):  
Xiling Cui ◽  
Baofeng Huo ◽  
Yang Lei ◽  
Qiang Zhou
Keyword(s):  
Social Media ◽  
Job Performance ◽  
Knowledge Sharing ◽  
Team Performance ◽  
Operations Management ◽  
Hierarchical Linear Model ◽  
Mediating Effects ◽  
Content Type ◽  
Media Usage ◽  
Individual Knowledge

Purpose The purpose of this paper is to examine how team social media usage (SMU) affects two types of knowledge sharing (KS), namely, in-role and extra-role KS, and then individual job performance. The study also examines the mediating effects of two types of KS and the main and moderating effects of team performance norms on individual job performance. Design/methodology/approach This study applies the theory of communication visibility to develop a cross-level model and then validate it through a three-wave survey from 600 individuals in 120 teams. Hierarchical linear model is used to test the hypotheses. Findings The results suggest that team SMU improves team members’ in-role and extra-role KS, and thus enhances their individual job performance. The in-role and extra-role KS have partial mediating effects between team SMU and job performance. The results also show that team performance norms have a positive main effect on individual job performance, but negatively moderate the relationship between individual extra-role KS and job performance. Research limitations/implications This study contributes to the operations management literature by examining the effects of team SMU from a multilevel perspective. Practical implications The findings provide managers with ways to improve individual KS and job performance. Originality/value This study is one of the first to investigate the effects of team SMU on individual KS and job performance. It also identifies the two-sided effects of team performance norms.

scholarly journals Formasi kelompok dinamis untuk mendukung kolaborasi pembelajaran proyek perangkat lunak

2020 ◽  
Vol 7 (1) ◽  
pp. 42-51
Author(s):  
Danang Wahyu Utomo ◽  
Defri Kurniawan
Keyword(s):  
Social Media ◽  
Software Development ◽  
Group Formation ◽  
Project Team ◽  
Project Teams ◽  
Initial Population ◽  
Student Groups ◽  
Dynamic Group ◽  
Initial Stage ◽  
Selection Of

Matakuliah proyek perangkat lunak digunakan untuk melatih mahasiswa dalam penguasaan materi pengembangan perangkat lunak yang terdiri dari analisis, desain, implementasi, dan evaluasi. Mahasiswa diajarkan bagaimana cara mengerjakan perangkat lunak dari tahap awal hingga tahap akhir. Selain itu, mahasiswa juga dilatih untuk bekerja secara tim. Permasalahan yang terdapat pada Universitas Dian Nuswantoro adalah pembentukan kelompok masih dilakukan secara random-select. Pembentukan kelompok yang dilakukan mahasiswa berdasarkan unsur pertemanan, satu komunitas, atau grup di social media seperti WhatsApp. Hasilnya, terjadi ketidakseimbangan di dalam kelompok tim proyek. Ketidakseimbangan tim proyek dapat menyebabkan gagalnya proyek pengembangan perangkat lunak. Penelitian ini mengusulkan eksperimen pendekatan dynamic group formation dengan algoritma genetika. Hasil dari eksperimen menunjukkan bahwa algoritma genetika mampu membantu pembentukan kelompok tim proyek dengan tingkat keberhasilan 87.5% dengan pengaturan inisial populasi adalah 100 populasi dan probabilitas crossover adalah 0.6. Tujuan dari penelitian ini adalah memberikan alternatif pembentukan kelompok mahasiswa secara dinamis guna mendukung kolaborasi tim proyek mahasiswa. Pada proyek perangkat lunak kedepan, tidak ada pembentukan tim proyek secara homogen atau pemilihan anggota tim proyek secara self-select atau random-select. AbstractSoftware project courses are used to train students in mastering software development materials consisting of analysis, design, implementation, and evaluation. Students are taught how to work on software from the initial stage to the final stage. In addition, students are also trained to work in teams. The problem in Universitas Dian Nuswantoro is that group formation is still done randomly-selectively. The formation of groups by students is based on the friendship level, a community, or a group on social media such as WhatsApp. As a result, there is an imbalance in the project team. Imbalance of the project team can cause the failure of software development projects. This study proposes an experiment using a dynamic group formation approach with genetic algorithms. The results of the experiment show that the genetic algorithm is able to help the formation of project team groups with a success rate of 87.5% with the initial population is 100 population and the probability of crossover (pc) is 0.6. The objective of this study is to provide an alternative dynamic formation of student groups to support the collaboration of student project teams. In the future, there is no homogeneous project team formation or selection of member teams using a self-select or random-select method.

scholarly journals PERFORMANCE EVALUATION OF SOFTWARE DEVELOPMENT PROJECT TEAM

2017 ◽  
Vol 2 ◽  
pp. 118
Author(s):  
Inga Podjavo ◽  
Solvita Berzisa
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Project Management ◽  
Software Development ◽  
Team Performance ◽  
Development Project ◽  
Project Team ◽  
Software Development Project ◽  
Planning Decision ◽  
Performance Demonstration

The necessity of finding the connection between the planning, decision making, actions and results create project management interest to an evaluation of the project team performance. By analyzing the team performance, determining successful projects and assessing results, members of such project will have the necessary information to avoid failures, to monitor the progress, to compare similar projects and move to defined goals. The objective of this paper is to provide guidelines for evaluation of the project team performance in the software development project. This paper summarizes measures for evaluation of the team performance, an evaluation objectives and it benefits as well as factors that may have an influence on the team performance. Demonstration example of the guideline usage has been provided.

The Effect of Conflict and Knowledge Sharing on the Information Technology Project Team Performance

2020 ◽  
Vol 16 (1) ◽  
pp. 1-20
Author(s):  
Barbara Hewitt ◽  
Diane B. Walz ◽  
Alexander McLeod
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Team Performance ◽  
Group Processes ◽  
Project Team ◽  
Team Members ◽  
Technology Project ◽  
Proposed Model ◽  
It Project ◽  
Information Technology Project

The existent literature lacks papers that explored the proposed model, which examines how process, relationship, and task conflict impacts knowledge sharing and the subsequently perceived team performance in the information technology (IT) development process. The proposed research model adds knowledge sharing to prior studies that explored how the types of conflict impacted team performance. The hypotheses were tested using a field survey, which was distributed to IT project team members. While team members who experience task conflicts tend to share more knowledge and perform better, members who experience more process or relationship conflicts are less likely to share knowledge, and the team performance is also impacted. The results offer insights to explain how the different types of conflict can affect knowledge sharing and subsequently group processes within IT project teams and, ultimately, improve or degrade performance.

Sign in / Sign up

Export Citation Format

Share Document