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The purpose of this research is to examine how a change in team dynamics impacts an individual's motivation to engage in helping behavior and operational performance.

An online vignette experiment and a hybrid discrete event and agent-based simulation model are used.

Study findings demonstrate how a non-core worker's perception of team dynamics influence engagement in helping behavior and system performance.

This study provides a further understanding on how team members react to changes in team processes. This study theorizes on how an individual team member responds to fairness concerns. This study also advances our understanding of the critical importance of helping behavior in a retail logistics setting. This research illustrates how the theory of strategic core and procedural justice literature can be adopted to explain team dynamics in supply chain management.

Despite the important role that suppliers have in enhancing the environmental performance of a buyer firm, previous research has not investigated the individual-level motivations of supplier employees (representatives) in supplier-to-supplier environmental knowledge sharing. Thus, we use insights from the coopetition literature to examine how buyer firms can encourage supplier-to-supplier environmental knowledge sharing with the aim of improving the buyer’s environmental performance.

We empirically test our model using an online vignette-based experiment administered to supply chain managers. We contextualized our results using insights from interviews with senior managers representing firms operating in a broad array of industries.

We find that a supplier representative’s personal environmental values influence their commitment to an environmental consortium with a rival firm, and they are subsequently willing to share proprietary environmental knowledge. In turn, these relationships are moderated by situational factors including competitive intensity and buyer power.

The study of coopetition is an emerging stream of research in operations management. Our findings improve the understanding on how a focal actor within a buyer–supplier coopetitive network can promote environmental knowledge sharing behavior.

This study seeks to explore the roles of organizational support and environmental manager commitment on organizational environmental management practices.

A survey of environmental managers was conducted to examine the role of organizational support and individual environmental commitment on key informant perceptions of environmental organizational practices including participation in extra‐organizational voluntary environmental programs, adoption of a company‐specific environmental management system (EMS), and involvement in ISO 14000 certification.

Study findings demonstrate that high perceptions of organizational support for the environment affect the likelihood of an organization's implementation of environmental practices. Similarly, study findings indicate that higher levels of environmental commitment of the individual responsible for environmental management practices affects the likelihood of an organization's implementation of environmental practices. Lastly, the statistical results provide evidence that high organizational support and high personal commitment by an environmental champion interact to enhance the implementation of environmental practices.

This study represents the first development and empirical testing of a model of how organizational support for environmental practices and environmental managers' commitment to such endeavors affect the adoption of environmental practices by organizations. Additionally, the research illustrates how theoretical perspectives from the organizational behavior literature can be fruitfully adopted to explain behavior in the field of supply chain management.

The purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.

To test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).

Several important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.

This research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.

The purpose of this paper is to review the literature and call for additional research into the human, operational, and regulatory issues that contribute to workplace safety in the supply chain.

Following the safety typology of Brown, this paper identifies several potential research opportunities that can increase awareness of the importance of improving a firm's workplace safety practices. To inform the Brown typology, the paper follows the procedures described in Carter et al. and Maloni and Carter to conduct the comprehensive review of the safety literature across six logistics and transportation journals.

This paper identifies 108 articles which inform the Brown typology. The paper reports how the logistics and transportation safety literature has evolved across the human, operational, and regulatory safety domain across the following journals: International Journal of Logistics Management, International Journal of Physical Distribution & Logistics Management, Journal of Business Logistics, Journal of Supply Chain Management, Transportation Research Part E, and Transportation Journal. The paper identifies 14 future research opportunities within the workplace safety in the supply chain domain.

The 14 future research opportunities that have been identified can have a positive effect on practitioners confronted with safety issues.

Given the importance of workplace safety, it is important that firms across all echelons of the supply chain improve their safety practices. This paper contributes to the literature and highlights important managerial and public policy concerns on workplace safety performance in the supply chain.

This study aims to examine the extent to which a buying firm can leverage the firm's supplier's innovations to boost the firm's own innovation performance and key moderators to this relationship. Grounded in social embeddedness theory, the authors explore the role of dyadic embeddedness between a buyer and supplier as a facilitator of buyer innovation.

Negative binomial regression was used to empirically analyze a large sample of dyadic observations from the USA manufacturing industry. Measures were developed from data acquired from Compustat, LexisNexis and Bloomberg.

The findings indicate that supplier innovation has a positive impact on a buyer firm's innovation output, particularly when the firms are technically similar and when there is a higher degree of financial interdependence in the buyer–supplier dyad.

This study provides important insights into how supplier firms can facilitate buyer innovation as and how relational factors suggested by social embeddedness theory act to strengthen this effect. Through a theoretical-based empirical examination of supply chain dyads, the findings highlight the importance of financial interdependence and technical similarity when buyers seek to benefit from supplier innovation capabilities.

The objective of this paper is the development of a voluntary compliance model that is applied to the current and substantive governmental regulatory electronic on‐board recorder (EOBR) proposal in the workplace.

This study is designed to qualitatively evaluate the responses of commercial drivers to the federal government's proposed EOBR safety technology. Results are based on the analysis of published comments made by commercial drivers to a US government online database, the Federal Docket Management System.

Four major thematic categories emerged from the commercial driver comments are analyzed, including government control over workplace behavior; financial impact; technology readiness; and attribution issues –, e.g. misplaced responsibility for safety problems (generally on other drivers or outside parties). This paper links these concerns to a procedural justice model and discusses how procedural justice concerns can contribute to voluntary compliance and employment turnover intentions. Important commercial driver, motor carrier, and public policy implications are thus revealed.

This study represents the first development of a voluntary compliance model that is applied to the proposed EOBR mandate. The deployment of this voluntary compliance model may lead to greater compliance rates.

The purpose of this paper is to build and test theory regarding how rivalry in environmental management (EM) affects a focal firm’s environmental image and financial performance.

The theory is tested with an original panel data set of 2,776 focal-rival dyad pairs. Measures of environmental signals are developed from content analysis of corporate sustainability reports. Environmental performance data are drawn from the Newsweek US 500 Green Rankings database. Financial performance data are drawn from COMPUSTAT.

The main findings are that focal firm signals have a positive and significant impact on both focal firm environmental image and financial performance. Rival firm signals have a negative effect on focal firm environmental image. Surprisingly, rival firm signals have a positive impact on focal firm financial performance.

This paper can serve as a testament to the value of monitoring rival firm strategies and signaling to counter the impact of rival signals in the environmental domain. Environmental practices can be a source of competitive advantage for firms, and failure to compete in this space can place the firm at a competitive disadvantage.

This study makes several contributions to the EM literature. Leveraging competitive dynamics and the institutional viewpoints, this study builds theory with regard to how signals of competitive EM activity among a focal firm and its rivals affect environmental image and financial performance.

The purpose of this paper is to contribute to the supply chain risk management literature by examining how stakeholders place pressure on the firm to engage in risk management activities.

This paper utilizes a survey approach to test the nomological model. The analysis was carried out using structural equation modeling techniques.

The results demonstrate that stakeholders place pressure on the firm to mitigate risk and that knowledge management (KM) and joint planning activities with suppliers serve as mediating roles in the model. The process-oriented model reveals that these factors influence the firm's ability to be responsive to customer demand.

The research represents one of the first papers to empirically test how stakeholder theory and KM contributes to risk mitigation activities. Additionally, the paper shows the impact of KM factors on risk mitigation activities. The paper attempts to explain from both a theoretical and empirical perspective how and why firms are engaging in risk mitigation activities and how the impacts demand responsiveness.

Recent supply chain disruptions have highlighted the global shortage of truck drivers. Because it is a quintessential “masculine” profession, the proportion of women truck drivers is small, although efforts are underway to recruit and retain women. This research offers a comprehensive and theoretically-driven empirical analysis of women in the US trucking industry.

The research utilizes a detailed longitudinal database of 20 million driver inspections from 2010 to 2019. It is paired with US Social Security Administration data to infer the gender of the driver for each inspection. Descriptive evidence is provided, and a logit model is used to test the hypotheses.

The research finds that female truck drivers make up 3.2% of the inspection sample, but their representation has grown by 23.1% over the last decade. Women are vastly overrepresented in the jobs that are the easiest to get and underrepresented in jobs that offer better pay, more regular hours and more time at home. However, the proportion of women in more desirable truck driving jobs has grown from 2010 to 2019, offering positive news for the industry.

The research offers a more credible and realistic statistic for the proportion of women in the industry, contradicting previous industry figures. The research also highlights policy implications for industry stakeholders.

The truck driving industry is vital for a nation's economic sustainability. Truck driving jobs offer better wages and more opportunity than many non-professional female-dominant jobs. The research emphasizes the path to move into jobs that are better suited for women with domestic or family responsibilities.

The authors document hitherto unknown facts about women in the US trucking industry. Using theoretically driven research in organizational science, this study highlights the interplay of supply-side and demand-side factors that help to explain a nuanced perspective of the workforce composition and discusses potential policies to increase the number of female drivers.