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Information Systems Frontiers

Erschienen in:

22.06.2021

Disruption and Legitimacy: Big Data in Society

verfasst von: Carlos Ferreira, Alessandro Merendino, Maureen Meadows

Erschienen in: Information Systems Frontiers | Ausgabe 3/2023

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Abstract

The growing availability of data and the emergence of business analytics ecosystems offer possibilities for companies developing innovative business models. However, the disruptive impact of these business models on society is not always judged favourably. This paper explores the growing tensions in the relationship between disruptive Big Data companies and society through the lens of legitimacy – a judgement about the fit and propriety of an entity, such as a company, to society. The study is based on four instrumental cases where Big Data organisations were faced with challenges to their legitimacy. The findings elaborate how digital transformations require companies to understand and manage how much to disrupt and how much to conform to social norms and values. Big Data businesses face a dynamic and paradoxical tension between the potential costs and benefits of their disruptive business models. The topic of legitimacy management is also addressed, drawing out implications for practice.

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Throughout this paper, the authors follow an institutional approach to legitimacy (e.g., Deephouse et al., 2017), which is not concerned with individuals’ perceptions. An alternative model of legitimacy, which does consider individual judgements, is found in the discipline of social psychology. This latter model is not used in the present research. For a detailed discussion of the commonalities and differences between the two models, see Tost (2011).

Citations in this Section refer exclusively to empirical materials collected, as per the process described in Section 3. All are denoted with an asterisk in the references list.

The impact of the COVID-19 pandemic on AirBnB was not analysed in this paper, as it took place after the data collection cut-off date (October 2019 – see Section 3.2).

On the 19th ^of February 2021, the UK’s Supreme Court ruled that Uber’s drivers are not self-employed, but rather employees of the company. This means drivers would be entitled to benefits such as minimum wage and holiday pay, which have the potential to severely impact the company’s bottom line (Russon, 2021). This event was not analysed in this paper, as it took place after the data collection cut-off date, but is referred to here as it a relevant aspect of the case.

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Titel: Disruption and Legitimacy: Big Data in Society
verfasst von: Carlos Ferreira
Alessandro Merendino
Maureen Meadows
Publikationsdatum: 22.06.2021
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 3/2023
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-021-10155-3

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