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THIS number will appear at the beginning of the Leeds Conference. Although there is no evidence that the attendance will surpass the record attendance registered at the Birmingham Conference, there is every reason to believe that the attendance at Leeds will be very large. The year is one of importance in the history of the city, for it has marked the 300th anniversary of its charter. We hope that some of the festival spirit will survive into the week of the Conference. As a contributor has suggested on another page, we hope that all librarians who attend will do so with the determination to make the Conference one of the friendliest possible character. It has occasionally been pointed out that as the Association grows older it is liable to become more stilted and formal; that institutions and people become standardized and less dynamic. This, if it were true, would be a great pity.

In order to deepen understanding of team processes in dynamic organizational contexts, we suggest that analyses employing techniques to identify and analyze team member interaction patterns and trajectories are necessary. After presenting a brief review of interaction data coding and reliability requirements, we first review examples of two approaches used in the identification and analysis of interaction patterns in teams: lag sequential analysis and T-pattern analysis. We then describe and discuss three statistical techniques used to analyze team interaction trajectories: random coefficient modeling, latent growth modeling, and discontinuous growth analysis. We close by suggesting several ways in which these techniques could be applied to data analysis in order to expand our knowledge of team interaction, processes, and outcomes in complex and dynamic settings.

Given the environmental turbulence surrounding organizations today, polychronicity – the preference to attend to more than one task simultaneously – may be an increasingly important characteristic of individuals, groups, and organizations. Polychronicity and its behavioral counterpart, multitasking, are inextricably linked, but high levels of polychronicity may not lead to productive multitasking behavior, as multitasking can vary tremendously in its implementation and effectiveness. This commentary offers further clarification of the differences between polychronicity and multitasking, and it explores the role of task performance strategies in multitasking behavior.

Recent work concerning the effects of time on group behavior suggests that individuals’ time‐oriented behaviors may act as a catalyst or pacing mechanism for subsequent group behaviors. Other work suggests that group polychronic behavior (the group’s performance of multiple tasks simultaneously) has significant effects on both individual and group outcomes. In this paper, we examine the relationship between individuals’ time‐oriented behavior and group‐level polychronic behavior. Based on results from a laboratory simulation involving 26 small groups, we conclude that the presence of time‐urgent group members increases group‐level monochronic (versus polychronic) behavior and has a positive effect on groups’ primary task activity.

Previous research suggests that teams pace their change either internally to coincide with the midpoint, deadline, or task phases, or externally by entraining to exogenous pacers. Other research suggests that teams adapt to random environmental shocks. This paper investigates if, how, and when endogenous, exogenous, and random pacers affect the patterns of change in groups. We studied five software development teams during a turbulent two-year period. Our case studies and supporting analyses suggest that teams perform a “dance of entrainment”—simultaneously creating multiple rhythms and choreographing their activities to mesh with different pacers at different times.

This chapter examines the relationship between team routines and temporal entrainment. While the process of entrainment generally reinforces the routines that teams follow temporal entrainment also creates opportunities for externally focused teams to change their routines. Entrainment creates team rhythms that include pauses in activity that can act as triggers to change. These pauses alone are not enough to impel teams to change; managers must also employ temporal design to make use of these opportunities for change. Both the rhythms of temporal entrainment and the pauses that accompany them are part of a team’s task environment. By uncovering key rhythms, as well as by managing the pauses, managers can both reinforce desired routines and change problematic ones.

During the conference in which this volume’s chapters were presented and discussed, an important topic arose: the proliferation of terms used to describe the temporal aspects of groups and teams. Recognition of this proliferation is not new (cf. Ancona, Okhuysen & Perlow, 2001). While it is partly a reflection of the increased interest in things temporal, it is also a reflection of how we conduct work in the area of groups and organization studies for at least three reasons.

Control crews in high reliability organizations must react quickly to identify and resolve potentially disastrous nonroutine events. However, much of the previous work concerning control crew performance has focused either on the impact of automated systems on crews' nonroutine event management or on case study accounts concerning the social systems of crews during these abnormal events. This paper suggests that by focusing on elements of both systems—automated and social—a general model of control crew performance can be developed. The model presented here suggests that system interface characteristics affect the speed with which crews identify nonroutine events, and that task-based conflict affects the speed with which crews resolve nonroutine events. Testable propositions are derived from the model, and implications for both future research and practice are discussed.

The purpose of this paper is to categorize transportation choice research (mode choice and carrier selection) leading to insight on themes in the literature and directions for future research

The proposed transportation choice research categorization framework is based on a comprehensive literature review of the peer‐reviewed journal papers published over the past 20 years, supplemented with a review of practitioner articles to identify current challenges in the logistics field. The academic papers are analyzed in terms of research purpose/question, methodology, findings, and challenges addressed.

The review reveals that several important themes are under‐represented in the transportation choice literature: environmental and energy use concerns; security in the supply chain; supply chain integration; international growth; and the role of the internet and emerging information technologies. This review also found that simulation, case study, and interview methodologies are under‐represented, and that normative modeling research is only lightly represented in this research.

The contributions of this research are three‐fold: the development of a classification scheme for transportation choice research, a structured review that provides a guide to earlier research on the subject of transportation choice, and the identification of research issues for future investigation.