Green information quality and green brand evaluation: the moderating effects of eco-label credibility and consumer knowledge

摘要

PurposeThis study aims to examine the effects of three green information quality dimensions - persuasiveness, completeness and credibility - on green brand evaluation and whether this is mediated by green brand credibility. It also examines the moderating effects of eco-label credibility and consumer knowledge on green information quality dimensions and green brand credibility relationships.Design/methodology/approachUsing a structured questionnaire on environmentally-friendly electrical goods/electronics, cosmetic and apparel product advertisements, involving an elaboration task, this study collected usable data from 1,282 Indian consumers across 50 cities. It also undertook an assessment for three different product groups using structural equation modelling to examine proposed hypotheses and assessed moderated mediation using the Hays process model.FindingsThe study indicates that: green brand credibility mediates the effects of green information quality dimensions on green brand evaluation; consumer knowledge moderates the effects of persuasiveness and completeness on green brand credibility and eco-label credibility moderates the effects of persuasiveness and credibility on green brand credibility.Research limitations/implicationsIn green information processing, this study supports the relevance of the elaboration likelihood model and the mediation effect of green brand credibility. It also presents evidence that credible eco-labels enhance green information processing. While the results are broadly consistent across the three product categories, the results may only generalizable to the environmentally-aware urban populations.Practical implicationsHelp brand managers to design advertisements that add brand credibility in environmentally-aware urban markets.Originality/valueIt helps to define green information quality and the interacting effects of eco-label credibility and consumer knowledge in green information processing.