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How Does Each ESG Dimension Predict Customer Lifetime Value by Segments? Evidence from U.S. Industrial and Technological Industries

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How Does Each ESG Dimension Predict Customer Lifetime Value by Segments? Evidence from U.S. Industrial and Technological Industries

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dc.contributor.author Segarra-Moliner, José Ramón
dc.contributor.author Bel-Oms, Inmaculada
dc.date.accessioned 2023-11-22T15:44:01Z
dc.date.available 2023-11-22T15:44:01Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/10550/91333
dc.description.abstract The aim of this study is to analyse the research gap regarding the relationship between environmental, social and governance dimensions (ESG) of corporate sustainability initiatives and customer lifetime value (CLV). We divide an entire data sample (547 U.S. listed firms from the Refinitiv Thomson Reuters Eikon database) of both industrial and technological industries into three segments, using prediction-oriented modelling segmentation to test the hypotheses and evaluate the predictive validity of a partial least squares (PLS) model. As a result, we show that environmental, social and governance dimensions (ESG) encompass ten sustainability initiatives that, in turn, are the precursors of future financial firm performance, represented by CLV. Moreover, we found different poor-to-medium effects of each ESG dimension on CLV in segment 1. However, a stronger effect of the social dimension on CLV in segment 3 is completed with a poor effect, both positive by governance and negative by environmental dimensions, on CLV, while only the environmental dimension had greater effects on CLV in segment 2. The contribution of this research to the body of literature is twofold. First, it deepens the impact of each ESG dimension instead of considering sustainability initiatives as a whole. Second, it evaluates sustainability initiatives with a customer-based corporate firm valuation approach.
dc.language.iso eng
dc.relation.ispartof Sustainability, 2023, vol. 15, num. 8, p. 6907
dc.source Segarra-Moliner JR, Bel-Oms I. How Does Each ESG Dimension Predict Customer Lifetime Value by Segments? Evidence from U.S. Industrial and Technological Industries. Sustainability. 2023; 15(8):6907. https://doi.org/10.3390/su15086907
dc.subject economia
dc.subject economia de mercat
dc.subject economia social
dc.title How Does Each ESG Dimension Predict Customer Lifetime Value by Segments? Evidence from U.S. Industrial and Technological Industries
dc.type journal article
dc.date.updated 2023-11-22T15:44:01Z
dc.identifier.doi 10.3390/su15086907
dc.identifier.idgrec 162052
dc.rights.accessRights open access

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