NegotiAct: Introducing a Comprehensive Coding Scheme to Capture Temporal Interaction Patterns in Negotiations

In the present research, we developed NegotiAct, a comprehensive coding scheme for negotiations, comprising 47 mutually exclusive behavioral codes. NegotiAct was derived by systematically integrating (i) 89 extant coding schemes for negotiations, (ii) pertinent findings from negotiation research, and (iii) specific interaction behaviors that were previously not considered in coding schemes for negotiations (e.g., active listening). To facilitate the application of NegotiAct, we designed a coding manual with precise instructions and with definitions and examples for every code. NegotiAct can be customized to address many research questions in experimental settings as well as field research by splitting codes into more specific behaviors. Thereby, differentiated codes can always be traced back to the original codes, preserving comparability across studies and facilitating cumulative research. In combination with interaction analytical methods, NegotiAct enables scholars to detect and investigate specific communication patterns across the negotiation process. As a first empirical validation of NegotiAct, we demonstrate a substantial interrater reliability for 18 videotaped negotiations (κ = .80) and conduct an exploratory validation analysis, studying the relation of multi-issue offers, active listening, and joint gains.

The relationships of psychological capital and influence regulation with job satisfaction and job performance

Background and aims

The individual difference predictors of positive work attitudes and behaviors have been widely investigated in the field of positive organizational scholarship. However, to date, integrating studies linking positive psychological resources, such as Psychological Capital and influence regulation, with positive organizational outcomes are still scarce. Thus, the main aim of the present study was to examine the relationships of Psychological Capital and influence regulation with job satisfaction and job performance both at the individual and team levels.

Methods

Within the cross-sectional multi-source research involving both team leaders and team members from 34 different teams, we examined the relationships of Psychological Capital and influence regulation with job satisfaction and job performance. The relationships of the study variables were based on the positive organizational behavior and the broaden-and-build theory of positive emotions, which suggest the positive relationships of distinct positive psychological resources with positive work outcomes. Accordingly, in addition to the widely accepted concept of Psychological Capital (PsyCap), we employed and analyzed the complimentary construct of influence regulation (i.e., the ability to intentionally share social influence with others in the workplace) both at the individual and group levels.

Results

The results of hierarchical linear modeling with 304 individuals from 34 teams from a diverse sample of Polish employees indicated that team members’ PsyCap was positively linked to individual-level job satisfaction and two facets of job performance, i.e. creative performance and in-role performance. In contrast, no relationship was found between influence regulation and job satisfaction or job performance at both levels of analysis.

Conclusion

With regard to positive interpersonal resources, the findings highlight the role of PsyCap in predicting job satisfaction and job performance and broaden the understanding of positivity in the workplace by introducing the construct of influence regulation. Also, based on the study results, managerial implications are discussed.

Emotion in teams: a scoping literature review

Purpose

The empirical findings of the roles of emotions in teams are mixed. This study, a scoping literature review, aims to synthesize extant research on the roles of emotions in work teams and offers future research directions.

Design/methodology/approach

Sixty-nine empirical studies from the past ten years (2012 to 2021) were identified and reviewed. The authors then analyzed these 69 papers based on their research design, focus and nomological network of emotions.

Findings

The authors found that there is a clear increasing research trend of studying emotions in a team setting. In the extant literature, team emotions were studied from three major perspectives: emotions, emotional management and emotion measurement. The authors also summarized findings into the nomological network of team emotions. Last but not least, future research directions regarding the research context, focus and design and analysis were recommended.

Originality/value

The role of emotions in teams has not been extensively reviewed or synthesized, and the empirical findings are mixed. This paper synthesized the role of emotions in teams and critical factors that affect emotions in teams. In particular, the research recommendations for critical human resource development scholars cover three aspects: research context advancement, research focus advancement and research design and analysis advancement.

The Whole Is Greater Than the Sum of Its Parts: Exploring Attributes of Team Work Engagement Climate

Despite growing interest in the concept of team work engagement (TWE), relatively little is known about the conditions that allow it to emerge. Based on the literature on work engagement and team climate, this study introduces the concept of TWE climate and examines its conceptual attributes. Based on a one-and-a-half-year qualitative investigation of eight Dutch self-steering project teams, we discovered that TWE climate comprises eight attributes, both (a) personal and (b) shared. Personal attributes include team members' commitment and drive toward the team and a personal feeling of being respected within the team. Shared attributes include a shared ability to overcome challenges and a shared sense of accomplishment, community, drive, and focus. Our findings indicate that personal and shared attributes are both critical elements of a team climate conducive to team work engagement. We conclude this paper by discussing what these findings mean for the concept of TWE climate in light of future research and practice.

Gaining insights into organizational communication dynamics through the analysis of implicit and explicit communication

This report in the journal Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie aims at presenting how the analysis of implicit and explicit communication in organizational interaction can advance our insights into and implications for these interactions for research and science. Communication is a central process in modern organizations. Especially recurring forms of interaction in organizations (e.g., meetings or appraisal interviews) are of great importance for personal and organizational success. In these interactions, the communication between the interacting organizational members has a decisive impact on the interactions’ course and outcomes (e.g., satisfaction with the interaction, performance during the interaction). Therefore, the aim of this paper is to present two aspects of communication that are empirically shown to contribute to successful outcomes of organizational interactions. Based on a practical problem, we illustrate the analysis and implications of (1) implicit communication (that is, the use and coordination of unconsciously used function words such as pronouns, articles, or prepositions) and (2) explicit communication (that is, the overarching meaning of a statement). To further illustrate the practical relevance of both communication behaviors, we present empirical insights and their implications for practice. Taking a glance at the future, possible combinations of these communication behaviors, the resulting avenues for future research, and the importance of a strengthened cooperation between research and practice to gain more naturalistic insights into organizational communication dynamics are discussed.

If I Had Something to Add, I Would

Abstract. Most employees participate in workplace meetings, and their experiences in meetings can vary greatly, which can lead to positive or negative effects on both job attitudes and behavior. In this study, we examined the effect that a meeting attendee’s competence in the meeting topic had on their participation in the meeting and their perception of meeting effectiveness. Results indicated those with higher levels of competence in the meeting topic were more likely to participate and through participation found their meeting more effective; this relationship was stronger when employee dissent in the meetings was high. Leaders should ensure that those who are present in a meeting are competent in the topic of the meeting and encourage them to participate.

Time to go wild: How to conceptualize and measure process dynamics in real teams with high-resolution

Team processes are interdependent activities among team members that transform inputs into outputs, vary over time, and are critical for team effectiveness. Understanding the temporal dynamics of team processes and related team phenomena with a high-resolution lens (i.e., methods with high sampling rates) is particularly challenging when going “into the wild” (i.e., studying teams operating in their full situated context). We review quantitative field studies using high-resolution methods (e.g., video, chat/text data, archival, wearables) and map out the various temporal lenses for studying team dynamics. We synthesize these different lenses and present an integrated temporal framework that is of help in theorizing about team dynamics. We also provide readers with a “how to” guide that summarizes four essential steps along with analytical methods (e.g., sequential and pattern analyses, mixed-methods research, abductive reasoning) that are applicable to the broad scope of high-resolution methods.

Laborious but Elaborate: The Benefits of Really Studying Team Dynamics

In this manuscript we discuss the consequences of methodological choices when studying team processes "in the wild." We chose teams in healthcare as the application because teamwork cannot only save lives but the processes constituting effective teamwork in healthcare are prototypical for teamwork as they range from decision-making (e.g., in multidisciplinary decision-making boards in cancer care) to leadership and coordination (e.g., in fast-paced, acute-care settings in trauma, surgery and anesthesia) to reflection and learning (e.g., in post-event clinical debriefings). We draw upon recently emphasized critique that much empirical team research has focused on describing team states rather than investigating how team processes dynamically unfurl over time and how these dynamics predict team outcomes. This focus on statics instead of dynamics limits the gain of applicable knowledge on team functioning in organizations. We first describe three examples from healthcare that reflect the importance, scope, and challenges of teamwork: multidisciplinary decision-making boards, fast-paced, acute care settings, and post-event clinical team debriefings. Second, we put the methodological approaches of how teamwork in these representative examples has mostly been studied centerstage (i.e., using mainly surveys, database reviews, and rating tools) and highlight how the resulting findings provide only limited insights into the actual team processes and the quality thereof, leaving little room for identifying and targeting success factors. Third, we discuss how methodical approaches that take dynamics into account (i.e., event- and time-based behavior observation and micro-level coding, social sensor-based measurement) would contribute to the science of teams by providing actionable knowledge about interaction processes of successful teamwork.

A Complex Adaptive Systems Approach to Real-Life Team Interaction Patterns, Task Context, Information Sharing, and Effectiveness

Interaction dynamics are considered to be key characteristics of complex adaptive systems (CAS). Taking a CAS approach, this study examines how three team interaction patterns affect team effectiveness. Specifically, we analyze recurring, heterogeneous, and participative patterns of team interaction in routine and nonroutine team-task contexts. Fine-grained coding of video-based footage plus nonlinear dynamical systems (NDS) statistics are used to identify the interaction patterns in a sample of 96 real-life teams, comprising 1,395 team members. We establish that recurring patterns of team interaction reduce perceived team information sharing and, in turn, team effectiveness and that these harmful effects are more pronounced in teams doing nonroutine work than in those engaged in routine work. Participative team interaction was found to be positively related to a high level of perceived team information sharing and effectiveness. Heterogeneous team interaction was not associated with perceived team information sharing and effectiveness. Post hoc analyses, in which the behavioral content of the interaction patterns of the 15 most effective and least effective teams is compared, revealed primarily task-directed patterns in the most effective teams. We offer practical recommendations for team development and call for more CAS research on the communicative behaviors within teams of knowledge workers.

Team Performance Archetypes: Toward a New Conceptualization of Team Performance Over Time

We examine the concept of team performance and propose a framework to understand patterns of change over time. Following a literature review on team performance (focusing on empirical articles published between 2007 and 2017) and drawing on Greek and Roman mythology, we identify five team performance trajectories: “Jupiter” (consistently high performing), “Neptune” (relatively steady, average performance), “Pluto” (low performing), “Icarus” (initially high performing, with a downward spiral), and “Odysseus” (initially low to midrange performing, with an upward spiral), which we refer to as “team performance archetypes.” We discuss how they might be used in conjunction with growth modeling methodology to help facilitate theory building and data collection/analysis with respect to team performance. In addition, we discuss the future research implications associated with using the archetypes to help conceptualize patterns of team performance over time.

DE-CODE: a coding scheme for assessing debriefing interactions

Debriefings are crucial for learning during simulation-based training (SBT). Although the quality of debriefings is very important for SBT, few studies have examined actual debriefing conversations. Investigating debriefing conversations is important for identifying typical debriefer-learner interaction patterns, obtaining insights into associations between debriefers' communication and learners' reflection and comparing different debriefing approaches. We aim at contributing to the science of debriefings by developing DE-CODE, a valid and reliable coding scheme for assessing debriefers' and learners' communication in debriefings. It is applicable for both direct, on-site observations and video-based coding.

Methods

The coding scheme was developed both deductively and inductively from literature on team learning and debriefing and observing debriefings during SBT, respectively. Inter-rater reliability was calculated using Cohen's kappa. DE-CODE was tested for both live and video-based coding.

Results

DE-CODE consists of 32 codes for debriefers' communication and 15 codes for learners' communication. For live coding, coders achieved good inter-rater reliabilities with the exception of four codes for debriefers' communication and two codes for learners' communication. For video-based coding, coders achieved substantial inter-rater reliabilities with the exception of five codes for debriefers' communication and three codes for learners' communication.

Conclusion

DE-CODE is designed as micro-level measurement tool for coding debriefing conversations applicable to any debriefing of SBT in any field (except for the code medical input). It is reliable for direct, on-site observations as well as for video-based coding. DE-CODE is intended to allow for obtaining insights into what works and what does not work during debriefings and contribute to the science of debriefing.

When Things Go From Bad to Worse: The Impact of Relative Contextual Extremity on Benjamin Montgomery’s Positive Leadership and Psychological Capital

Drawing from positive organizational behavior, psychological capital has been shown to be a beneficial resource allowing leaders to remain positive and future-oriented. While having hope, optimism, confidence, and resilience are particularly effective in periods of great risk and uncertainty, extreme environments likely affect leaders’ psychological capital, as evidenced by changes to these comprising factors. Answering several recent calls for historical and narrative-based approaches to leadership in extreme events, we use content analysis and historiometrics in the case of Benjamin Montgomery, the first African American plantation owner in the post–Civil War U.S. South, who faced a sequence of extreme events after purchasing the plantation on which he was formerly a slave. We triangulate our examination through the letters Montgomery penned to his former owner Joseph Davis—the older brother of Confederacy President Jefferson Davis, records on the focal actors, and historical documents from the period. We then reconstruct and examine the relative contextual severity and its impact on Montgomery’s psychological capital across a 6-year period directly following the Civil War (1865-1870). We find that while unfamiliar extreme episodes erode leader psychological capital, those resources are restored when such periods are overcome and experience is gained. We also reconsider psychological capital as a profile multidimensional construct and show underlying pairs of dimensions, which we label as overt positivity (optimism and resilience) and realistic positivity (hope and confidence), trend similarly yet remain distinct from the other pair. The implications of these findings and future directions are then discussed.

Killer Apps: Developing Novel Applications That Enhance Team Coordination, Communication, and Effectiveness

As part of the Lorentz workshop, “Interdisciplinary Insights into Group and Team Dynamics,” held in Leiden, Netherlands, this article describes how Geeks and Groupies (computer and social scientists) may benefit from interdisciplinary collaboration toward the development of killer apps in team contexts that are meaningful and challenging for both. First, we discuss interaction processes during team meetings as a research topic for both Groupies and Geeks. Second, we highlight teamwork in health care settings as an interdisciplinary research challenge. Third, we discuss how an automated solution for optimal team design could benefit team effectiveness and feed into team-based interventions. Fourth, we discuss team collaboration in massive open online courses as a challenge for both Geeks and Groupies. We argue for the necessary integration of social and computational research insights and approaches. In the hope of inspiring future interdisciplinary collaborations, we develop criteria for evaluating killer apps—including the four proposed here—and discuss future research challenges and opportunities that potentially derive from these developments.

Modeling Temporal Interaction Dynamics in Organizational Settings

Most workplace phenomena take place in dynamic social settings and emerge over time, and scholars have repeatedly called for more research into the temporal dynamics of organizational behavior. One reason for this persistent research gap could be that organizational scholars are not aware of the methodological advances that are available today for modeling temporal interactions and detecting behavioral patterns that emerge over time. To facilitate such awareness, this Methods Corner contribution provides a hands-on tutorial for capturing and quantifying temporal behavioral patterns and for leveraging rich interaction data in organizational settings. We provide an overview of different approaches and methodologies for examining temporal interaction patterns, along with detailed information about the type of data that needs to be gathered in order to apply each method as well as the analytical steps (and available software options) involved in each method. Specifically, we discuss and illustrate lag sequential analysis, pattern analysis, statistical discourse analysis, and visualization methods for identifying temporal patterns in interaction data. We also provide key takeaways for integrating these methods more firmly in the field of organizational research and for moving interaction analytical research forward.

New Frontiers in Analyzing Dynamic Group Interactions: Bridging Social and Computer Science

This special issue on advancing interdisciplinary collaboration between computer scientists and social scientists documents the joint results of the international Lorentz workshop, “Interdisciplinary Insights into Group and Team Dynamics,” which took place in Leiden, The Netherlands, July 2016. An equal number of scholars from social and computer science participated in the workshop and contributed to the papers included in this special issue. In this introduction, we first identify interaction dynamics as the core of group and team models and review how scholars in social and computer science have typically approached behavioral interactions in groups and teams. Next, we identify key challenges for interdisciplinary collaboration between social and computer scientists, and we provide an overview of the different articles in this special issue aimed at addressing these challenges.

Team Learning: New Insights Through a Temporal Lens

Team learning is a complex social phenomenon that develops and changes over time. Hence, to promote understanding of the fine-grained dynamics of team learning, research should account for the temporal patterns of team learning behavior. Taking important steps in this direction, this special issue offers novel insights into the dynamics of team learning by advocating a temporal perspective. Based on a symposium presented at the 2016 Interdisciplinary Network for Group Research (INGRoup) Conference in Helsinki, the four empirical articles in this special issue showcase four different and innovative approaches to implementing a temporal perspective in team learning research. Specifically, the contributions highlight team learning dynamics in student teams, self-managing teams, teacher teams, and command and control teams. The articles cover a broad range of methods and designs, including both qualitative and quantitative methodologies, and longitudinal as well as micro-temporal approaches. The contributors represent four countries and five different disciplines in group research.