Foresight and the scamper technique: a combination of collective intelligence strategies for building innovation capacity

未来研究 能力建设 集体智慧 知识管理 业务 计算机科学 人工智能 经济 经济增长
作者
Juan Ernesto Pérez Pérez
出处
期刊:Foresight [Emerald Publishing Limited]
被引量:1
标识
DOI:10.1108/fs-07-2023-0134
摘要

Purpose The aim of this research paper is to present a new model of innovation management under the approach of anticipatory collective intelligence strategies to improve the innovation capacity of products and business processes. The paper presents a case study of Café Galavis, one of the oldest family-owned companies in the Colombian coffee sector. Design/methodology/approach A descriptive mixed-methods research design was used. Ten experts and the general manager of the organization were interviewed using a semi-structured format. Additionally, a creativity and innovation workshop were conducted with the participation of 140 young people between the ages of 21 and 28. The traditional product of the company was evaluated using the SCAMPER technique. On the other hand, a strategic approach was taken to address the complex problem. This involved conducting a bibliometric analysis using Vosviewer software, prioritizing key variables and actors’ game through MICMAC and MACTOR software, seeking expert judgment, conducting morphological analysis, generating scenarios under the Peter Schwartz axes and designing a strategic plan. Findings The paper presents a new approach to developing innovation processes by connecting foresight and the SCAMPER technique as a strategy for anticipatory collective intelligence. Furthermore, it was found that the use of these methods enhances the innovation capacity of both products and business processes. Organizations can implement this model to create plans with disruptive and sustainable horizons. Practical implications The paper presents methods to enhance the adoption and performance of innovation in companies through collective anticipatory intelligence and the use of digital tools. Originality/value This paper proposes a novel approach to combining two future methods to promote innovation. This study makes a theoretical and practical contribution to the field of foresight.
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