Open Access
Open access
Sustainability, volume 17, issue 4, pages 1716

Sustainable Innovation Management Model (MGI) for Plantain Agroindustrial Chain

Juan Carlos Palacio Piedrahita 1
Nolberto Gutiérrez 2
Adriana Zuluaga 3
Luis Horacio Botero Montoya 4
Luis Fernando Gutiérrez Cano 5
Julio González Candia 6
José Orlando Gómez Salazar 7
Gina Lía Orozco 1
Nelson Javier Escobar Mora 1
Show full list: 9 authors
2
 
Faculty of Administrative Sciences, Alexander Von Humboldt Business University Corporation, Armenia 630001, Colombia
3
 
Research Department, Alexander Von Humboldt Business University Corporation, Armenia 630001, Colombia
4
 
School of Economics, Administration and Business, Faculty of Business Administration, Universidad Pontificia Bolivariana, Medellín 050031, Colombia
6
 
Faculty of Technology, Santiago University, Santiago 9170124, Chile
Publication typeJournal Article
Publication date2025-02-18
Journal: Sustainability
scimago Q1
SJR0.672
CiteScore6.8
Impact factor3.3
ISSN20711050
Abstract

This study proposes a sustainable Innovation Management Model (MGI) for the plantain agroindustrial chain, applied to the Quindío region of Colombia. A mixed-methods approach was employed, incorporating various techniques, including a systematic literature review using the Scopus database, which analyzed 95 documents through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The identification and prioritization of relevant variables, along with the validation of the proposed model, were also conducted through the use of three questionnaires, supplemented by relevance and congruence indices. The analysis identified 53 variables for the entry stage, 36 for the transformation stage, and 31 for the exit stage. The findings revealed significant gaps within the agroindustrial chain, particularly in areas such as leadership, strategic management, and resilience among key stakeholders. The MGI, as prioritized by stakeholders, provides a framework that integrates variables and information flows, facilitating the development of new open innovation challenges. These challenges engage not only seekers—entities that require innovation—but also solvers—organizations that offer solutions. The implementation of this model will require supportive public policies, projects, and web platforms, such as Innocentive/Wazoku, Ninesigma, Ruta N, Yet2.com, Itonics, and Ennomotive, which, with the aid of artificial intelligence, can connect innovation supply and demand through open challenges.

  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex | MLA
Found error?