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

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  • Barchiesi, Maria Assunta
  • Fronzetti Colladon, Andrea

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.

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  • Barchiesi, Maria Assunta & Fronzetti Colladon, Andrea, 2021. "Big data and big values: When companies need to rethink themselves," Journal of Business Research, Elsevier, vol. 129(C), pages 714-722.
    • Handle: RePEc:eee:jbrese:v:129:y:2021:i:c:p:714-722
    DOI: 10.1016/j.jbusres.2019.10.046
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    References listed on IDEAS

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    1. Barchiesi, Maria Assunta & Fronzetti Colladon, Andrea, 2021. "Corporate core values and social responsibility: What really matters to whom," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

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