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1 – 2 of 2Kiran Patil, Vipul Garg, Janeth Gabaldon, Himali Patil, Suman Niranjan and Timothy Hawkins
This paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.
Abstract
Purpose
This paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.
Design/methodology/approach
The authors combine the Transaction Cost Economics (TCE) and Relational Exchange Theory (RET) frameworks to hypothesize that FP will be a function of Asset Specificity (AS), Digital Technology Usage (DTU) and Collaborative Information Sharing (CIS). In addition, the authors hypothesize that Supply Chain Integration (SCI) will partially mediate the effect of DTU and fully mediate the impact of AS and CIS on FP. A cross-sectional survey of supply chain managers is used to test the hypotheses.
Findings
Findings indicate that specific investments in digitally integrated supply chains would increase FP. In addition, SCI fully mediates the relationships between AS and FP and CIS and FP, while SCI partially mediates the influence of DTU on FP.
Practical implications
Managers could strategically engage in the technologies that effectively fit within the firm’s supply chain strategies and seek to develop a pragmatic expertise that enables the effective use of technology in a comprehensive setting.
Originality/value
The study enriches the extant literature by incorporating TCE and RET as contradictory viewpoints on AS and investigating how transactional and relational assets affect FP in digitally integrated supply chains.
Details
Keywords
Yavuz Idug, David Gligor, Jamie Porchia, Suman Niranjan, Ila Manuj and David R. Nowicki
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…
Abstract
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.
Details