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1 – 3 of 3Clinton T. Purtell, Ila Manuj, Terrance L. Pohlen, Vipul Garg, Jamie Porchia and Michael James Hill
This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and…
Abstract
Purpose
This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and upcoming innovations associated with integrating drones into MM logistics? and (2) What challenges need to be overcome for successful implementation of drones in MM logistics?
Design/methodology/approach
The study combines expertise from an industry professional with over ten years of experience in drone operations and logistics applications, along with insights gained from discussions with 33 industry executives.
Findings
The research identifies several unique advantages of integrating drones into MM logistics, including their potential to improve operational efficiency in challenging environments. However, significant challenges related to scalability, evolving airframe designs and operational constraints remain. Early-stage use cases demonstrate the viability of MMD technologies in lower-risk logistics environments, but broader implementation requires overcoming the identified challenges.
Research limitations/implications
As MMD logistics is a nascent field, the study is exploratory and based on early-stage use cases and expert discussions. The limited scope of practical implementations may restrict the generalizability of the findings. Future research should focus on larger-scale operations and empirical studies of MMD integration in diverse logistics contexts.
Practical implications
The findings offer valuable insights for practitioners related to the costs, benefits and challenges of integrating drones into logistics operations and for policymakers related to societal implications, workforce development, privacy and safety concerns, and environmental impact.
Originality/value
This paper contributes to the evolving understanding of drone applications in MM logistics by presenting early use cases and identifying both challenges and opportunities for MMD technology and offers a foundation for future research and practice in this emerging domain.
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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.
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David M. Gligor, Theodore P. Stank, Nichole Gligor, Jeffrey A. Ogden, David R. Nowicki, Ted Farris, Yavuz Idug, Rishabh Rana, Jamie Porchia and Patil Kiran
This study aims to explore the impact of one significant threat to the rigor of theory building within supply chain management, namely, the improper development of different…
Abstract
Purpose
This study aims to explore the impact of one significant threat to the rigor of theory building within supply chain management, namely, the improper development of different measures for the same construct.
Design/methodology/approach
Two survey studies are conducted. Study 1 investigates the impact of three firm orientations on five of the most cited supply chain agility (SCA) scales. Study 2 explores the impact of the same five SCA scales on three firm performance indicators.
Findings
The findings reveal that the five SCA scales display adequate discriminant validity and thus measure distinct concepts. Further, the relationships between SCA and its antecedents and consequences vary significantly depending on the SCA scale used. In essence, the scale used determines whether a relationship is supported or not, implying that researchers have been loosely applying the same label (i.e. SCA) to distinct constructs.
Originality/value
In essence, the scale used determines whether a relationship is supported or not, implying that researchers have been loosely applying the same label (i.e. SCA) to distinct constructs. The findings indicate the need for further scrutiny and investigation regarding the rigor and validity of theory building within the area of SCA. Importantly, rigorous scale development should be encouraged. Scholars should develop new scales when necessary while carefully distinguishing their proposed constructs and measures from extant ones.
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