Advanced search
Publication Cover
International Journal of Production Research Volume 21, 1983 - Issue 2
Submit an article Journal homepage
22
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Optimizing the interaction of technical, social and organizational factors in work groups—an application of the multidimensional classification method

SABURO TENDA Kinki University, Kure, Japan
,
YOSHITAKA NAGAI Hiroshima Institute of Technology, Japan
&
TETSURO SHINGU Hiroshima University, Japan
Pages 231-245 | Published online: 27 Apr 2007

Citations (2)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

SABURO TENDA, YOSHITAKA NAGAI & TETSURO SHINGU. (1985) A multidimensional classification method for finding the design rules of work groups. International Journal of Production Research 23:1, pages 209-221.
Read now
YOSHTTAKA NAGAI, SABURO TENDA & TETSURO SHIGU. (1984) On the evaluation of group effectiveness for designing work groups. International Journal of Production Research 22:6, pages 1067-1081.
Read now

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.