EconPapers    
Economics at your fingertips  
 

Enhancing strategic management using a “quantified VRIO”: Adding value with the MCDA approach

Nathanaëlle N.S. Murcia, Fernando A.F. Ferreira and Joao Ferreira

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: Strategic management has been popularized since the 1960s as a useful tool in the search for success factors in organizations’ internal and external environments. Strategic management researchers have observed and created strategies now considered to be essential pillars of contemporary management operations. This approach relies on managers’ ability to understand and evaluate contextual trends, but a variety of questions have been left unanswered, especially regarding analyses of combinations of quantitative and qualitative decision criteria. This study sought to enhance strategic management by developing a quantified valuable, rare, inimitable, and organized (VRIO) framework using the multiple-criteria decision analysis (MCDA) approach. To accomplish this objective, the proposed VRIO model was combined with the Choquet integral, and a real-life application was conducted to test this approach’s adequacy to support strategic management. The integrated methodology developed was shown to offer an innovative business improvement process. The perceived benefits and limitations are also presented and analyzed.

Keywords: Strategic management; Quantified valuable,rare,inimitable and organized (VRIO) framework; Multiple-criteria decision analysis (MCDA); Choquet integral (CI) (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521006855
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006855

DOI: 10.1016/j.techfore.2021.121251

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-31
Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006855