Revisiting complexity theory to achieve strategic intelligence

Q3 Business, Management and Accounting

International Journal of Foresight and Innovation Policy Pub Date : 2018-10-27 DOI:10.1504/IJFIP.2018.095858

G. Basile, H. Kaufmann, Marco Savastano

{"title":"Revisiting complexity theory to achieve strategic intelligence","authors":"G. Basile, H. Kaufmann, Marco Savastano","doi":"10.1504/IJFIP.2018.095858","DOIUrl":null,"url":null,"abstract":"The present work aims to analyse the choice of strategic management conditions considering both, systemic and complexity perspectives applied by analogy to business. The approach represents the firm as a complex adaptive system, where management, to make strategic and operative decisions, must reduce complexity amplifying information variety. According to this approach the firm, in a turbulent environment, must develop different competences, especially in the field of innovation, in order to achieve survival/dynamic conditions through the creation and/or maintenance of relationships with numerous, diverse and heterogeneous stakeholders. This work aims to answer the following research questions: can the complexity theory meet the needs of managers and marketers as well as scholars' theoretical foundations, to develop strategic intelligence to effectively manage the dynamism of organisations/brand in turbulent environments; does regarding organisations and networks as adaptive systems help scholars and managers in their decision making processes?","PeriodicalId":35015,"journal":{"name":"International Journal of Foresight and Innovation Policy","volume":"13 1","pages":"57"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJFIP.2018.095858","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Foresight and Innovation Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJFIP.2018.095858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}

引用次数: 10

Abstract

The present work aims to analyse the choice of strategic management conditions considering both, systemic and complexity perspectives applied by analogy to business. The approach represents the firm as a complex adaptive system, where management, to make strategic and operative decisions, must reduce complexity amplifying information variety. According to this approach the firm, in a turbulent environment, must develop different competences, especially in the field of innovation, in order to achieve survival/dynamic conditions through the creation and/or maintenance of relationships with numerous, diverse and heterogeneous stakeholders. This work aims to answer the following research questions: can the complexity theory meet the needs of managers and marketers as well as scholars' theoretical foundations, to develop strategic intelligence to effectively manage the dynamism of organisations/brand in turbulent environments; does regarding organisations and networks as adaptive systems help scholars and managers in their decision making processes?

查看原文本刊更多论文

修正复杂性理论实现战略智能

目前的工作旨在分析战略管理条件的选择，同时考虑系统和复杂性的观点，通过类比应用于商业。该方法将公司描述为一个复杂的自适应系统，在这个系统中，管理层为了制定战略和运营决策，必须降低复杂性，扩大信息的多样性。根据这种方法，在动荡的环境中，公司必须发展不同的能力，特别是在创新领域，以便通过与众多，多样化和异质的利益相关者建立和/或维持关系来实现生存/动态条件。本工作旨在回答以下研究问题:复杂性理论能否满足管理者和营销人员的需求以及学者的理论基础，以开发战略情报，有效地管理动荡环境中的组织/品牌的活力;将组织和网络视为适应性系统对学者和管理者的决策过程有帮助吗?

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Foresight and Innovation Policy Business, Management and Accounting-Management of Technology and Innovation

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： The IJFIP has been established as a peer reviewed, international authoritative reference in the field. It publishes high calibre academic articles dealing with knowledge creation, diffusion and utilisation in innovation policy. The journal thus covers all types of Strategic Intelligence (SI). SI is defined as the set of actions that search, process, diffuse and protect information in order to make it available to the right person at the right time in order to make the right decision. Examples of SI in the domain of innovation include Foresight, Forecasting, Delphi studies, Technology Assessment, Benchmarking, R&D evaluation and Technology Roadmapping.