Exploring eco-label industry actors’ perceptions on the capabilities of a forthcoming multiple project management software – An fsQCA approach-Reference-Cited by-同舟云学术

Exploring eco-label industry actors’ perceptions on the capabilities of a forthcoming multiple project management software – An fsQCA approach

Published:2020-07 Issue: Volume:115 Page:281-288
ISSN:0148-2963
Container-title:Journal of Business Research
language:en
Short-container-title:Journal of Business Research

Author:

Drăgan George Bogdan,Vasilache Raluca Oana,Schin George Cristian

Funder

“Dunarea de Jos” University of Galati

Publisher

Elsevier BV

Subject

Marketing

Reference68 articles.

1. Ali, A.S.B., Money, W.H., 2005. A study of project management system acceptance. Proceedings of the 38th Hawaii International Conference of Systems Science, Hawaii, USA.

2. Environmental quality competition and eco-labeling;Amacher;Journal of Environmental Economics and Management,2004

3. Construction client multi-projects–A complex adaptive systems perspective;Aritua;International Journal of Project Management,2009

4. Rethinking organizational design for managing multiple projects;Aubry;International Journal of Project Management,2018

5. The resource dilemma of temporary organizations: A dynamic perspective on temporal embeddedness and resource discretion;Bakker,2009

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