Examining the influence of marketing logistics on e-shoppers’ satisfaction and post-purchase behaviour: Evidence from India

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Abstract

India’s emergence as a fintech ecosystem, widespread social media influence, covid-19 and the rapid transformation of consumption patterns have significantly affected modern consumer behaviour. For e-retailers, other than providing products of excellent quality and reasonable price, they must improve online shoppers’ satisfaction levels through sustainable marketing logistics. This paper examines the relationship between several evolving marketing logistics dimensions and customer satisfaction. Subsequently, it also examines the impact of customer satisfaction on customer loyalty, repurchase intention and word of mouth. The study targeted online shoppers in India using a purposive sampling technique and 516 valid responses were collected through an online structured questionnaire. Data were analyzed using a robust PLS-SEM- ANN sensitivity method wherein, an assessment of the measurement model, predictive power, and structural model was conducted. The findings of the study revealed that dimensions such as accessibility, ecological packaging, responsiveness mechanism and reverse logistics have a significant influence on customer satisfaction. Artificial Neural Network sensitivity outcome reveals that response mechanism is the most important dimension of marketing logistics, followed by reverse logistics, accessibility and ecological packaging. Additionally, customer satisfaction has a significant impact on customer loyalty, re-purchase intention and word-of-mouth. This study can help online retailers to further strengthen marketing logistics to improve customer experience.
考察营销物流对电子购物者满意度和购后行为的影响:来自印度的证据
印度作为金融科技生态系统的崛起、社交媒体的广泛影响、2019冠状病毒病(covid-19)以及消费模式的快速转变,对现代消费者行为产生了重大影响。对于电子零售商来说,除了提供物美价廉的产品外,他们还必须通过可持续的营销物流来提高网上购物者的满意度。本文考察了几个不断发展的营销物流维度与客户满意度之间的关系。随后,研究顾客满意对顾客忠诚、再购买意愿和口碑的影响。该研究以印度的网上购物者为目标,采用了有目的的抽样技术,并通过在线结构化问卷收集了516份有效回复。使用稳健的PLS-SEM- ANN灵敏度方法分析数据,其中对测量模型、预测能力和结构模型进行了评估。研究发现,可达性、生态包装、响应机制和逆向物流等维度对顾客满意度有显著影响。人工神经网络灵敏度结果表明,响应机制是营销物流最重要的维度,其次是逆向物流、可达性和生态包装。此外,顾客满意对顾客忠诚、再购买意愿和口碑有显著影响。本研究可以帮助网上零售商进一步加强营销物流,改善顾客体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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