Sökning: onr:"swepub:oai:DiVA.org:hj-20578" >
The cooperative ven...
The cooperative venture formation process - A latent variable structural modeling approach
-
Fornell, C (författare)
-
Lorange, P (författare)
-
- Roos, Johan (författare)
- Norwegian School of Management
-
(creator_code:org_t)
- Institute for Operations Research and the Management Sciences (INFORMS), 1990
- 1990
- Engelska.
-
Ingår i: Management science. - : Institute for Operations Research and the Management Sciences (INFORMS). - 0025-1909 .- 1526-5501. ; 36:10, s. 1246-1255
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Management process issues for forming cooperative ventures with an increased likelihood of subsequent success are addressed. The cooperative venture formation is based on Roos (1989) and is conceptualized in terms of 3 theoretical constructs: 1. the extent of sufficient internal push for the project, 2. the breadth and depth of analytical scope, and 3. the strength of key stakeholder support. These constructs are related to subsequent perceived performance. Data from 67 firms in Norway and Sweden were collected and analyzed via latent variable structural modeling a partial least square (PLS). The main managerial implication is that the process by which a cooperative venture is formed should largely be seen as a step-by-step approach, not as a discrete decision. The research demonstrates that a theoretically complex and seemingly impenetrable phenomenon can be explained by reducing it to a simple model of theoretical constructs.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Business Administration (hsv//eng)
Nyckelord
- Variables
- Theory
- Studies
- Stakeholders
- Multivariate analysis
- Mathematical models
- Management science
- Joint ventures
- Cooperative
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas