Big data and big values: When companies need to rethink themselves

Maria Assunta Barchiesi and Andrea Fronzetti Colladon

Journal of Business Research, 2021, vol. 129, issue C, 714-722

Abstract: In order to face the complexity of business environments and detect priorities while triggering contingency strategies, we propose a new methodological approach that combines text mining, social network and big data analytics, with the assessment of stakeholders’ attitudes towards company core values. This approach was applied in a case study where we considered the Twitter discourse about core values in Italy. We collected more than 94,000 tweets related to the core values of the firms listed in Fortune’s ranking of the World’s Most Admired Companies (2013–2017). For the Italian scenario, we found three predominant core values orientations (Customers, Employees and Excellence) – which should be at the basis of any business strategy – and three latent ones (Economic/Financial Growth, Citizenship and Social Responsibility), which need periodic attention. Our contribution is mostly methodological and extends the research on text mining and on online big data analytics applied in complex business contexts.

Keywords: Text mining; Business strategy; Social network analysis; Big data analytics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296319306356
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:jbrese:v:129:y:2021:i:c:p:714-722

DOI: 10.1016/j.jbusres.2019.10.046

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().