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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.

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

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.

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.

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.

The purpose of this study is to determine the factors that impact the trust of microenterprises in online selling platforms and cargo carriers and examine the consequences of a lack of trust.

This study adopts a qualitative exploratory approach and uses grounded theory to generate insights based on interviews with 27 microenterprise owners selling internationally on an online selling platform.

The results show that a lack of competence, an absence of an integrated claim system and a lack of transparency are the main factors affecting sellers’ trust in online selling platforms. The relationship between the sellers’ intention to continue to use the online selling platform and their trust in the platform was found to be moderated by switching costs.

This study is limited in that the results were mainly based on the sellers’ perspectives although the phenomenon of interest involves various actors. To mitigate this limitation and cross-check the data, the customer reviews and some of the sellers’ account statistics were also analyzed.

This study introduces the sellers’ perspectives on the dynamics of supply chain management in international micro trade. These dynamics provide a guideline for how to build and manage an online selling platform targeting microenterprises.

Unlike previous studies, this study examines online transaction behaviors from the standpoint of sellers, not buyers. Moreover, it is the first study examining the damaged or lost shipments within the context of online transactions in international micro trade.

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

Performance-based contracting (PBC) has been gaining popularity over the years. However, empirical studies investigating the impact of PBC features have been limited. The main purpose of this study is to investigate the effect of PBC features leading to quality investment that fosters financial benefits.

After examining the validity and reliability of scale items through confirmatory factor analysis, this study tested hypotheses using covariance-based structural equation modeling of survey data from 381 supply, logistics and operations managers.

The findings reveal the impact of PBC features (joint knowledge generation, goal congruence and incentive alignment) on financial benefits and the mediation impact of quality investment between these features and financial benefits. The upfront investment for quality enhancement was found facilitator of PBC features to achieve financial benefits. The findings also reveal the importance of collaborative communication and information sharing for knowledge generation that leads financial benefits through quality investment. This study shows that PBC governance strengthens the theory of relational view by empowering collaborative efforts and aligning goals and incentives within downstream suppliers for knowledge generation and quality enhancement.

An analysis of PBC features by industry would be very beneficial in differentiating between and more thoroughly understanding the commonalities and differences across various sectors. Investigating how these change across industries would also help identify any bias in PBC implementation.

This study illustrates that it will be practical and beneficial for suppliers to understand the major drivers of quality investment and the relationship between quality investment and the financial benefits of selecting PBC.

Unlike most previous studies, this research contributes to the literature in that it is one of the relatively few examples of empirical research on PBC features. Overall, the findings of this study will improve our understanding of how PBC features enhance upfront investment in quality and improve financial benefits.

In the last 20 years, e-waste has become a serious issue resulting from an overwhelming amount of electronics consumption. However, there has been limited research on how to decrease such waste in a structured manner. Toward study was to use a simulation methodology to investigate the dynamics of upfront investment in reliability enhancement promoted by performance-based contracting (PBC), based on the number of spare parts and duration of the contract.

The present research first details the relevant mathematical equations and uses game theory to demonstrate the utility for supplier and buyer relationships. Next, the effects of reliability enhancement, spare partsPBC are analyzed using a BlockSim simulation model.

The results indicate strong relationships among system design cost, reliability, availability and service cost. The authors found that investment in reliability increases system availability while reducing total service costs. Furthermore, increasing the spare parts inventory was determined to have less influence on the readiness of highly reliable systems. The findings support the notion that PBC reduces e-waste by increasing system availability, incentivizing upfront investment in reliability growth.

Recognition of these findings in the context of buyer–supplier relationships will help managers better understand the value of upfront reliability investment, reducing maintenance, repair and overhaul requirements, avoiding the need to plan for extra spare parts and minimizing volume and the resulting e-waste.

This study also clarifies the uncertainty associated with upfront investment and provides potential incentives for suppliers.

The main contribution of this study is its use of PBC for e-waste reduction, highlighting the effects of upfront investment in reliability enhancement. The authors applied a game theory model to illustrate the relationship between incentives and upfront investment and demonstrate how increased levels of spare parts can be counterproductive to achieving readiness, reducing inventory and consequent e-waste.

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.

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.

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.

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.