Interactive Horizon Scanning of the Forest Bioeconomy With a Nested Business Environment Framework

Tuomas Mauno, Päivi Pelli, David N. Bengston, Jouni Pykäläinen, Teppo Hujala
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Abstract

In sectors based on renewable resources, foresight studies have often been macro-scale, quantitative outlook studies. As a result, in the complex operating environment of the forest bioeconomy, the organizations and professionals of the emerging bioeconomic sector have not been able to fully utilize futures information in their decision-making processes. This study sought to find solutions to this issue by utilizing a nested business environment framework (NEST framework) in signal interpretation as part of piloting interactive horizon scanning of the forest bioeconomy. In interaction with a diverse group of forest bioeconomy stakeholders, the horizon scanning exercise collected and interpreted signals of change. The aim was to increase forest bioeconomy actors' sense of ownership towards signals information. This study discusses strengths and weaknesses of interactive horizon scanning in the context of the forest bioeconomy and raises awareness of the opportunities and challenges of using a NEST framework in signal interpretation. The study contributes to the analytical tools and has practical implications for interpreting signals of change in the forest bioeconomy and other sectors based on renewable resources. According to the results, the NEST framework used in signal interpretation has strengths, but revealing its full potential requires further development. These developments may include the application of the framework in concrete, timely stakeholder contexts, both involving forest bioeconomy actors and a necessary outside-in perspective from other sectors.

Abstract Image

嵌套商业环境框架下森林生物经济的交互式水平扫描
在以可再生资源为基础的部门,前瞻研究往往是宏观的、定量的展望研究。因此,在复杂的森林生物经济操作环境中,新兴生物经济部门的组织和专业人员无法在决策过程中充分利用期货信息。本研究试图通过在信号解释中利用嵌套商业环境框架(NEST框架)作为森林生物经济交互式水平扫描试点的一部分,找到解决这一问题的方法。在与不同的森林生物经济利益相关者群体的互动中,地平线扫描工作收集和解释了变化的信号。其目的是增强森林生物经济参与者对信号信息的主人翁意识。本研究讨论了交互式水平扫描在森林生物经济背景下的优势和劣势,并提高了人们对在信号解释中使用NEST框架的机遇和挑战的认识。这项研究有助于提供分析工具,并对解释森林生物经济和其他以可再生资源为基础的部门的变化信号具有实际意义。根据结果,用于信号解释的NEST框架具有优势,但要充分发挥其潜力还需要进一步发展。这些发展可能包括在具体、及时的利益相关者背景下应用该框架,既涉及森林生物经济行为体,也涉及其他部门必要的由外而内的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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