An empirical study on the learning‐updating strategy to allocate managerial resources for operations improvement

Bowon Kim (Assistant Professor, Graduate School of Management, Korea Advanced Institute of Science and Technology, Seoul, Korea)

Management Decision

ISSN: 0025-1747

Publication date: 1 August 1997

Abstract

Firms face a great deal of uncertainty in developing new technology. This uncertainty poses much more serious problems when development projects are new to firms and there are few historical data applicable to the development process in point. Examines operations‐improvement processes in two shipbuilding firms and proposes an extended version of “parallel R&D” theory, called “learning‐updating strategy”. Based on a field study, presents empirical evidence for the effectiveness of the learning‐updating strategy in allocating managerial resources for operations improvement.

Keywords

Citation

Kim, B. (1997), "An empirical study on the learning‐updating strategy to allocate managerial resources for operations improvement", Management Decision, Vol. 35 No. 6, pp. 436-446. https://doi.org/10.1108/00251749710173805

Download as .RIS

Publisher

:

MCB UP Ltd

Copyright © 1997, MCB UP Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.