追溯情景研究在商业和管理领域的进展

Arbrie Jashari, Victor Tiberius, Marina Dabić
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引用次数: 5

摘要

几十年来,关于情景的商业和管理研究一直卓有成效,但也导致了难以监督的复杂文献。为了组织领域和识别可区分的研究集群,我们对研究的长期历史进行了共被引分析。我们将我们的发现与先前发表的书目耦合进行比较,重点关注最近的研究,以追踪其随时间的发展。我们的研究共划分了6个研究集群:(1)基于情景的未来规划,(2)战略管理中的情景规划,(3)强化情景技术,(4)情景规划与MCDA的整合,(5)不同方法的结合,以及(6)通过随机规划进行决策,而文献耦合则产生了11个集群。一些以前的研究集群被分成单独的新集群,而另一些则被联合起来。此外,还出现了全新的集群。未来的情景研究有望(1)进一步向战略和运营方向分化;(2)以“行为未来”或“行为预见”为新的研究方向;(3)系统地推进情景技术,纳入新的具体情景生成方法;(4)提出新的应用领域。
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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Tracing the progress of scenario research in business and management

Business and management research on scenarios has been highly productive over the decades but led to a complex literature that is hard to oversee. To organize the field and identify distinguishable research clusters, we conducted a co-citation analysis focusing on the long-term history of research. We compare our findings with a previously published bibliographic coupling, focusing on the more recent research to trace its development over time. Our study revealed six research clusters: (1) Planning the Future with Scenarios, (2) Scenario Planning in Strategic Management, (3) Reinforcing the Scenario Technique, (4) Integration of Scenario Planning and MCDA, (5) Combination of Different Methods, and (6) Decision-making through Stochastic Programming, whereas the bibliographic coupling generated 11 clusters. Some former research clusters were divided into separate new clusters, while others were united. Additionally, completely new clusters emerged. Future research on scenarios is expected (1) to further differentiate into strategy and operations, (2) to be based on “behavioral futures” or “behavioral foresight” as a new research stream, (3) to advance the scenario technique methodically and include new specific scenario generation methods, and (4) to put forth new application areas.

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