Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity

Tahiru Azaaviele Liedong, Tazeeb Rajwani and Thomas C. Lawton

Technological Forecasting and Social Change, 2020, vol. 157, issue C

Abstract: While extant research acknowledges the importance of information for corporate political activity (CPA), there is limited understanding of how information is actually used to deploy political strategies. This gap reflects a broader problem in the literature whereby Big Data (BD) research is overly focused on the impact of information on market performance but overlooks the impact on nonmarket performance. In this paper, we draw on the resource-based view to conceptualize the interrelationship between BD (i.e. information) and CPA. We argue that CPA motivates BD investments, which, in turn, shape the organization of CPA and spur the development of data-driven political capabilities. Our conceptual model, which unpacks the intricate linkages between CPA success factors, BD and political capabilities, generates important theoretical, practical and further research implications.

Keywords: Big data; Information; Corporate political activity; Political capabilities (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162519311795
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:157:y:2020:i:c:s0040162519311795

DOI: 10.1016/j.techfore.2020.120039

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().