Innovation in project management through framing and challenge redefinition
Autor:
Sanz-Llopis, Jorge
; Ostermann, Matthias
Fecha:
02/2020Palabra clave:
Revista / editorial:
International Journal of Managing Projects in BusinessCitación:
Sanz-Llopis, J. and Ostermann, M. (2020), "Innovation in project management through framing and challenge redefinition", International Journal of Managing Projects in Business, Vol. 13 No. 4, pp. 745-766. https://doi.org/10.1108/IJMPB-08-2019-0210Tipo de Ítem:
Articulo Revista IndexadaResumen:
Purpose: This paper investigates the framing and redefinition of innovation challenges as an approach to generate creative solutions in the field of project management. Design/methodology/approach: The study applies the Innovation Challenge Canvas (ICC), a new conceptual model that redefines innovation challenges. The research undertakes a review of the literature in the field of project management, followed by seven in-depth interviews with innovation directors to ascertain the professional view. Finally, usefulness of ICC was tested in three case studies. Findings: An innovative approach focusing on redefining a challenge instead of proposing solutions to a problem fosters creative thinking and encourages innovative proposals. This ideation challenges the organization's traditional way of managing innovation projects. The ICC provides a better means by which to manage projects that embody high uncertainty, while helping to generate more innovative solutions. Originality/value: The review of the literature shows that project management has given little attention to the redefining of innovation challenges. This study aims to fill this gap by orienting and adapting the traditional literature on framing to project management. From a practical point of view, the ICC is proposed as a model that can be used to consider the most relevant elements needed to redefine an innovation challenge and enhance the management of those projects.
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
55 |
37 |
43 |
69 |
108 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
CYSAS-S3: a novel dataset for validating cyber situational awareness related tools for supporting military operations
Daton Medenou, Roumen ; Calzado Mayo, Victor Manuel; Garcia Balufo, Miriam; Páramo Castrillo, Miguel; González Garrido, Francisco José; Luis Martinez, Alvaro; Nevado Catalán, David; Hu, Ao; Sandoval Rodriguez-Bermejo, David; Maestre Vidal, Jorge; Pasqual de Riquelme, Gerardo Ramis; Berardi, Antonio; De Santis, Paolo; Torelli, Francesco; Llopis Sánchez, Salvador (ACM International Conference Proceeding Series, 2020)The lack of suitable datasets and evaluation processes entails one of the most challenging gaps on the digital transformation era, where data-driven solutions like machine learning algorithms constitute a key pillar of the ... -
Evaluation methodology for mission-centric cyber situational awareness capabilities
Sandoval Rodriguez-Bermejo, David; Daton Medenou, Roumen ; Pasqual de Riquelme, Gerardo Ramis; Maestre Vidal, Jorge; Torelli, Francesco; Llopis Sánchez, Salvador (ACM International Conference Proceeding Series, 2020)The emerging need for cyber defence capabilities able to bring closer cyberspace supremacy in joint military operations has led defence practitioners to begin a cyber race where academy, researchers, industry and military ... -
Introducing the CYSAS-S3 Dataset for Operationalizing a Mission-Oriented Cyber Situational Awareness
Medenou Choumanof, Roumen Daton; Llopis Sánchez, Salvador; Calzado Mayo, Victor Manuel; Garcia Balufo, Miriam; Páramo Castrillo, Miguel; González Garrido, Francisco José; Luis Martinez, Alvaro; Nevado Catalán, David; Hu, Ao; Rodriguez-Bermejo, David Sandoval; Pasqual De Riquelme, Gerardo Ramis; Sotelo Monge, Marco Antonio; Berardi, Antonio; De Santis, Paolo; Torelli, Francesco; Maestre Vidal, Jorge (Sensors, 2022)The digital transformation of the defence sector is not exempt from innovative requirements and challenges, with the lack of availability of reliable, unbiased and consistent data for training automatisms (machine learning ...