Our goal at JBL is not just to provide a forum for theoretical conversation but also to proactively invite more insightful and interactive conversation. As active inquiry and open dialogue are critical to achieving this goal, we discuss the nature of inquiry and argue for developing the skills and conditions required to promote dialogue over discussion. Only through more profound dialogue can we address the challenges of a tumultuous decision-making environment, advance theoretical understanding, and improve managerial practice. We then introduce “Dialogue,” a new feature at JBL, which will consist of concise statements of alternative perspectives and diverse views. Through Dialogue, we invite members of the supply chain community to join colleagues in a grand adventure of knowledge discovery. We hope you will agree that the quest for understanding is more fun when we travel the path of discovery together.

Laboratory experiments provide an underutilized methodology for subjecting research in logistics and supply chain management to rigorous scientific scrutiny. As discussed in this paper, by following established procedures researchers can create an economic system in which behavior can be observed and replicated. With the ability to control the institution and the environment, researchers have complete information and can exogenously manipulate treatment variables, neither of which may be feasible in field work. We also address many of the reservations that skeptics of laboratory experiments often express including issues of realism, participant sophistication, and payoff stakes. We then provide several examples where experiments have been used to study issues relevant to logistics and supply chain management including auctions, wholesale practices in gasoline markets, inventory replenishment, liberalization of the electric power industry, and deregulation of the natural gas markets. Finally, we identify several additional areas where laboratory experiments could be informative.

The trucking industry provides the majority of transportation services in the United States. Truck drivers, particularly their driving performance, which influences how customers perceive motor carriers, are integral to the success of their firms. Hence, driver management is a topic of great interest to the trucking industry, logistics practitioners, and logistics researchers. Although the logistics literature does address issues relating to driver management, advice is scarce regarding how motor carriers might manage drivers to improve operational performance and thus the bottom line. Our results shed light on the processes whereby some formal controls directly influence operational performance, whereas others indirectly influence operational performance; that is, in the latter case, the influence of formal controls on operational performance is mediated by certain informal controls. According to our findings, motor carrier firms that employ a combination of formal and informal controls perform better operationally than firms that do not do so. And, thus, those employing such a combination of controls will realize a larger market share.

Professional truck drivers experience many challenges in the course of performing their jobs. Drivers must meet the needs of their company, shippers, and receivers as well as comply with safety regulations. It is well documented that truck drivers are prone to physical exhaustion; however, they may also be subject to emotional exhaustion, which can impact their decision to remain with a company. This research examines the influence of job stressors, such as role conflict and role ambiguity and their relationship to emotional exhaustion in professional truck drivers. Furthermore, the effect that job stressors and emotional exhaustion have on the efforts of a firm to build corporate identification, collective mind, and commitment among truck drivers is examined. Using qualitative and quantitative data from 435 professional truck drivers, a conceptual model is developed and tested using structural equation modeling. Findings are discussed and implications for managers in improving driver retention rates are offered.

In today's tightly connected global economy, traditional management practices that rely on “steady-state” conditions are challenged by chaotic external pressures and turbulent change. Just in the last few years, the world has experienced a string of catastrophic events, including a global economic meltdown, a volcanic eruption in Iceland, an oil spill in the Gulf of Mexico, a disastrous tsunami and power blackout in Japan, and political upheavals in Africa and the Middle East. Managing the risk of an uncertain future is a challenge that requires resilience—the ability to survive, adapt, and grow in the face of turbulent change. This research develops a measurement tool titled the Supply Chain Resilience Assessment and Management (SCRAM™). Data gathered from seven global manufacturing and service firms are used to validate SCRAM™, using qualitative methodology with 1,369 empirical items from focus groups reviewing 14 recent disruptions. Critical linkages are uncovered between the inherent vulnerability factors and controllable capability factors. Through mixed-method triangulation, this research identified 311 specific linkages that can be used to guide a resilience improvement process. Pilot testing suggests a correlation between increased resilience and improved supply chain performance.