Cambridge Centre for Business Research Manufacturing Strategy and Competitiveness Dataset, 1994-1999

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The focus of this research was on the high technology manufacturing sector, where the rate and extent of change in the firm environment are extremely high. The main aim of the project was to take a contingency theory perspective in linking manufacturing strategy to firms' overall strategy, in the context of changing environmental conditions.

Main Topics:

This dataset is the result of the response to a postal survey received from 205 high technology manufacturing firms in the UK. The survey covered: general characteristics and objectives of the business, management organisation, business environment, innovation and technological change, manufacturing production and competitive capabilities, principal products and market competition, and significant changes affecting their business in the last three years. The data file includes 274 variables.

One-stage stratified or systematic random sample

Postal survey

Identifier
DOI http://doi.org/10.5255/UKDA-SN-4434-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=8f9ac74526f7547455b3a72b32e2b8c879e5829038aa738cd39df5cf14548c1e
Provenance
Creator Cosh, A. D., University of Cambridge, Judge Institute of Management; Jayanthi, S., University of Cambridge, Centre for Business Research; Gregory, M., University of Cambridge, Department of Engineering, Institute for Manufacturing; Hughes, A., University of Cambridge, Faculty of Economics and Politics
Publisher UK Data Service
Publication Year 2002
Funding Reference Economic and Social Research Council
Rights Copyright University of Cambridge, Centre for Business Research; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Construction Engineering and Architecture; Economics; Engineering; Engineering Sciences; Jurisprudence; Law; Social and Behavioural Sciences
Spatial Coverage Great Britain