• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • İktisadi ve İdari Bilimler Fakültesi / Faculty of Economics and Administrative Sciences
  • İşletme Bölümü / Department of Management
  • İİBF - Bildiri Koleksiyonu | İşletme Bölümü / Department of Management
  • View Item
  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • İktisadi ve İdari Bilimler Fakültesi / Faculty of Economics and Administrative Sciences
  • İşletme Bölümü / Department of Management
  • İİBF - Bildiri Koleksiyonu | İşletme Bölümü / Department of Management
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Virtual team effectiveness using dyadic teams

Thumbnail

View/Open

Publisher's Version (1.311Mb)

Date

2007

Author

Karayaz, Gamze
Keating, Charles B.

Metadata

Show full item record

Citation

Karayaz, G. & Keating, C. B. (2007). Virtual team effectiveness using dyadic teams. Paper presented at the Portland International Conference on Management of Engineering and Technology, 2593-2603. doi:10.1109/PICMET.2007.4349593

Abstract

The importance of effectiveness for virtual teamwork continues to gain momentum as technology and globalization of work accelerate. The implementation of virtual teams provides one approach to enhance competitiveness, overcoming the disadvantages of space and time differences through collaborative technologies. The influence of structure to virtual team performance has not been clearly established in the literature. The purpose of this research study was to investigate the effectiveness of a dyad structured approach for virtual teams using a quasi-experimental research design. A virtual dyadic team is considered as two person-structured teams working on a particular task in a virtual collaborative environment. This research investigated four questions related to the influence of structure on virtual team effectiveness related to task performance, communication frequency, and team satisfaction.The results showed significance differences between the two virtual teams. Dyadic teams performed better in arriving at the task solution using less communication to finish the task. Dyadic teams were also more satisfied with their task solution than the self-structured teams. However, results indicated that dyadic teams were not satisfied with operating as a dyadic team in this study. The research also demonstrated that team satisfaction was the most significant predictor of virtual team effectiveness. The paper concludes with implications for technology managers and suggests guidance for improved effectiveness in design and implementation of virtual teams.

Source

Portland International Conference on Management of Engineering and Technology

URI

https://hdl.handle.net/11729/647
http://dx.doi.org/10.1109/PICMET.2007.4349593

Collections

  • İİBF - Bildiri Koleksiyonu | İşletme Bölümü / Department of Management [17]
  • Scopus İndeksli Bildiri Koleksiyonu [452]
  • WoS İndeksli Bildiri Koleksiyonu [353]

Related items

Showing items related by title, author, creator and subject.

  • 3-B nesne bilgilerinin vektor nicemleme yöntemleri ile sıkıştırılması 

    Orcay, Özgür; Konur, Umut; Bayazıt, Uluğ; Gürgen, Sadık Fikret (IEEE, 2004-10-25)
    Bu çalışmanın amacı, bağlanırlık kodlaması için gerçeklenmiş [I]'deki algoritmayı bazı yenilikler ile uygulamak ve koordinat sıkıştırması için 3-B (3 Boyutlu) nesne gösterimleri alanında kullanımı kısıtlı olan kayıplı bir ...
  • Immitance data modelling via linear interpolation techniques 

    Yarman, Bekir Sıddık Binboğa; Aksen, Ahmet; Kılınç, Ali (IEEE, 2002)
    With the advancement of the manufacturing technologies to produce new generation analog/digital communication systems, immitance data modelling has gained renewed importance in the literature. Specifically, models are ...
  • Calculating the VC-dimension of decision trees 

    Yıldız, Olcay Taner; Aslan, Özlem; Alpaydın, Ahmet İbrahim Ethem (IEEE, 2009)
    We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ...



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Policy | Guide | Contact |

DSpace@Işık

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitationThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitation

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Policy || Guide || Library || Işık University || OAI-PMH ||

Işık University Library, Şile, İstanbul, Turkey
If you find any errors in content please report us

Creative Commons License
Işık University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@Işık:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.