Yavuz Idug, David Gligor, Jamie Porchia, Suman Niranjan, Ila Manuj, David R. Nowicki
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The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"17 1","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the impact of rider–driver ethnicity match/mismatch in ride-hailing\",\"authors\":\"Yavuz Idug, David Gligor, Jamie Porchia, Suman Niranjan, Ila Manuj, David R. Nowicki\",\"doi\":\"10.1108/ijpdlm-01-2023-0056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>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. 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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.
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.