探索乘车人与司机种族匹配/不匹配对乘车服务的影响

IF 5.9 3区管理学 Q1 MANAGEMENT

International Journal of Physical Distribution & Logistics Management Pub Date : 2024-02-01 DOI:10.1108/ijpdlm-01-2023-0056

Yavuz Idug, David Gligor, Jamie Porchia, Suman Niranjan, Ila Manuj, David R. Nowicki

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引用次数: 0

摘要

目的本文以社会认同理论为基础，探讨了乘客与司机之间的种族匹配对司机的预期乘车满意度、乘车意愿以及乘客对司机的信任的影响。研究结果研究结果表明，乘客与司机之间的种族匹配对司机的乘车满意度、乘车意愿以及乘客对司机的信任有积极影响。实践意义虽然影响个人的种族认同水平可能具有挑战性，但管理者可以采取措施，就种族认同和歧视的影响对员工进行教育和培训，尤其是那些具有强烈种族认同感的人。原创性/价值本研究的发现为现有关于叫车服务的文献提供了理论上的贡献，并为有限的研究种族对叫车服务运营影响的物流研究增添了新的内容。

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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Exploring the impact of rider–driver ethnicity match/mismatch in ride-hailing

Purpose

Drawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver.

Design/methodology/approach

The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.

Findings

The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.

Practical implications

While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity.

Originality/value

The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.

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来源期刊

International Journal of Physical Distribution & Logistics Management MANAGEMENT-

CiteScore

11.20

自引率

10.40%

发文量

期刊介绍： IJPDLM seeks strategically focused, theoretically grounded, empirical and conceptual, quantitative and qualitative, rigorous and relevant, original research studies in logistics, physical distribution and supply chain management operations and associated strategic issues. Quantitatively oriented mathematical and modelling research papers are not suitable for IJPDLM. Desired topics include, but are not limited to: Customer service strategy Omni-channel and multi-channel distribution innovations Order processing and inventory management Implementation of supply chain processes Information and communication technology Sourcing and procurement Risk management and security Personnel recruitment and training Sustainability and environmental Collaboration and integration Global supply chain management and network complexity Information and knowledge management Legal, financial and public policy Retailing, channels and business-to-business management Organizational and human resource development Logistics and SCM education.