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  2. A step-by-step method to classify corporate sustainability practices based on the Signaling Theory

A step-by-step method to classify corporate sustainability practices based on the Signaling Theory Artículos académico

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Resumen

  • The “Signaling Theory” is a theoretical framework that investigates the content reported in sustainability reports, considering that through signaling, companies can influence stakeholders’ perceptions, create a competitive advantage and positively impact their corporate image. Signals can be classified into three types: camouflage, intent and necessity. By analyzing their sustainability reports, this study presents a step-by-step approach to classifying sustainability practices reported by companies according to the aforementioned types of signals. We propose a step-by-step approach based on a thematic and qualitative analysis that encourages replication by the research community. Details in the study will validate the proposed method and consider the lessons learned. • A method is proposed that allows the sustainability practices reported by companies to be classified into camouflage, intent and necessity signals through their sustainability reports. • A seven-step process for thematic analysis is described based on a qualitative research approach for achieving the above-mentioned goal. • The classification of sustainability practices into the camouflage typology is a challenging process, as it tends to be biased, hence the identification of this type of signals in comparison with those of intent and necessity requires the adoption of measures that guarantee the reduction of bias on the part of the researcher.

Área temática

  • Industria, innovación e infraestructura
  • Producción y consumo responsables

autores

  • http://vivoweb.org/ontology/core#FacultyMember
    Merlin Patricia Grueso Hinestroza
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    monica lopez santamaria
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    Norbey Yesid Amaya Espitia
  • http://vivoweb.org/ontology/core#FacultyMember
    Yonni Angel Cuero Acosta

Edición

  • 8

fecha de publicación

  • 2021-1-1

Identidad

Identificador de objeto digital (DOI)

  • https://doi.org/10.1016/j.mex.2021.101538