关键词: Big data analytics COVID-19 Green supply chain management Service quality model (SERVQUAL) Uncertainty-fear

Mesh : Humans Health Care Sector Data Science COVID-19 Health Facilities Delivery of Health Care

来  源:   DOI:10.1007/s11356-022-23173-8   PDF(Pubmed)

Abstract:
This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality based on the five dimensions service quality model (SERVQUAL). It also tests the moderating effect of big data analytics (BDA) capabilities. Based on a sample of 300 healthcare managers and customers, we used partial least squares structural equation modeling to analyze the data and test our hypotheses. The empirical results show that the uncertainty-fear toward COVID-19 positively affects GSCM. Also, BDA moderates the relationship between uncertainty-fear toward COVID-19 and GSCM. GSCM positively impacts service quality (empathy, responsiveness, and assurance) but not reliability or tangible items. In addition, GSCM significantly mediates the relationship between uncertainty-fear toward COVID-19 and services\' empathy, responsiveness, and assurance. However, it has an insignificant mediation effect regarding reliability and tangible-item dimensions.
摘要:
这项研究考察了对COVID-19、绿色供应链管理(GSCM)、基于五维服务质量模型(SERVQUAL)的感知服务质量。它还测试了大数据分析(BDA)功能的调节作用。基于300名医疗保健经理和客户的样本,我们使用偏最小二乘结构方程模型来分析数据并检验我们的假设。实证结果表明,对COVID-19的不确定性-恐惧对GSCM有积极影响。此外,BDA缓和了对COVID-19的不确定性-恐惧与GSCM之间的关系。GSCM积极影响服务质量(移情,响应性、响应性和保证),但不包括可靠性或有形项目。此外,GSCM显著介导了对COVID-19的不确定性-恐惧与服务同情之间的关系,响应性、响应性和保证。然而,它在可靠性和有形项目维度方面具有微不足道的调解作用。
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