Understanding the Information-Based Transformation of Strategy and Society

成果类型:
Article
署名作者:
Clemons, Eric K.; Dewan, Rajiv M.; Kauffman, Robert J.; Weber, Thomas A.
署名单位:
University of Pennsylvania; University of Pennsylvania; Harvard University; Cornell University; Cornell University; Hong Kong University of Science & Technology; Peking University; University of Toronto; University of Rochester; University of Rochester; Singapore Management University; Singapore Management University; University of Minnesota System; University of Minnesota Twin Cities; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Boston Consulting Group (BCG)
刊物名称:
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
ISSN/ISSBN:
0742-1222
DOI:
10.1080/07421222.2017.1334474
发表日期:
2017
页码:
425-456
关键词:
social media consumer informedness Sharing economy moral hazard market power MODEL network diffusion adoption search
摘要:
The world economy is undergoing dramatic changes, largely driven by the new availability of fine-grained information. Innovative ways of using datalarge and small-have also prompted a rethinking of the boundaries for the combination and use of knowledge. The strategic design of information flows in the economy has the upside of higher economic rents and competitive advantage, as well as the downsides of wealth inequality and abuse of power. This has brought a wide range of regulatory challenges. To understand the nature of these sweeping changes, it is important to examine the new ways information is used, and how information flows can be leveraged to create competitive advantage and dampen competition. The analysis in this article examines four economic entities that produce and consume value, as well as three determinants for the modes of their operations. The economic entities include consumers, producers, markets, and society, whose interactions are determined by viability, networks, and agency. In this framework, we paint a picture of the transformation of information-based strategy in the future and suggest promising research opportunities.