Abstract
The advancement of technology has boosted marketing activities through different electronic
mediums. Electronic word of mouth (e-WOM) is one of the main mediums of marketing in recent
times. The potential of e-WOM communications has increased due to social media interactions.
With e-WOM companies are engaging consumers and driving the sales. From company
perspectives, information characteristics, consumer motives, technological advancements are keys
that engage consumers and drive purchase intention. Therefore, this study has developed a
framework based on the Elaboration Likelihood Model (ELM) to assess the impact of e-WOM on
consumer engagement and purchase intention. This model was assessed using Partial Least Square
Structural Equation Modeling (PLS-SEM). The findings of the study revealed that the proposed
theoretical model based on ELM lenses has high predictive power to depict purchase intention in
e-commerce and suggests that information credibility, self-enhancement, and e-WOM engagement
are vital factors that affect the purchase intention in e-commerce. The results provide valuable
implications to the practitioners and managers of online companies.
Idrees Waris, Stafford Jude Jonathan D'costa, Irfan Hameed. (2021) Estimation of consumers’ purchase intention through Electronic Word of Mouth: A partial least square-structural equation modeling approach, KASBIT Business Journal, Volume-14, Issue-1.
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