Search results

This paper aims to provide team‐leaders and project managers with a practical and easily‐applicable managerial tool for coping with the large number of obstacles that may stand in the way to obtaining effective, efficient and altogether successful results, in overall management processes of projects and decisions within teams.

Relying on two previously published managerial tools, the “revised decision square model” and the “capi” model, this paper proceeds to present an integrated model, the team managerial coping flowchart, for the successful handling of team assignments and projects, towards the management of effective and efficient team decision making and implementation processes over time.

The paper relies on testimonies of managers who have adopted the proposed strategy for their every‐day use.

The model offers a practical step‐by‐step set of guidelines, to lead managers towards a relatively high level of control in the management of effective and efficient team decision making and implementation processes, ensuring their route toward successful achievements.

Limited attention has been given in the literature to the studying of practical and applicable managerial techniques to successful decision‐implementation in teams. The paper focuses on this neglected domain, proposing a solution in the form of an integrative strategy.

Crises such as the Coronavirus pandemic pose extraordinary challenges to the decision making in management teams. Teams need to integrate available information quickly to make informed decisions on the spot and update their decisions as new information becomes available. Moreover, making good decisions is hard as it requires sacrifices for the common good, and finally, implementing the decisions made is not easy as it requires persistence in the face of strong counterproductive social pressures.

We provide a “psychology of action” perspective on making team-based management decisions in crisis by introducing collective implementation intentions (We-if-then plans) as a theory-based intervention tool to improve decision processes. We discuss our program of research on forming and acting on We-if-then plans in ad hoc teams facing challenging situations.

Teams with We-if-then plans consistently made more informed decisions when information was socially or temporally distributed, when decision makers had to make sacrifices for the common good, and when strong social pressures opposed acting on their decisions. Preliminary experimental evidence indicates that assigning simple We-if-then plans had similar positive effects as providing a leader to steer team processes.

Our analysis of self-regulated team decisions helps understand and improve how management teams can make and act on good decisions in crises such as the Coronavirus pandemic.

The purpose of this research is to explore the effects of the diversity of experience and different personalities of top management team members on mediating processes such as agenda‐setting, the generating of strategic alternatives, and the speed of strategic decision making. Previous research has studied the effects of top management team characteristics on strategic decision‐making and performance by analyzing team demographics such as age and tenure – with ambiguous results.

In a multi‐case study approach, 46 members of eight top management teams were interviewed and surveyed.

The study suggests that the ambiguity of research results can be decreased by: introducing more deep‐level measures; and further differentiating the mediating processes. The results indicate that diversity of experience affects agenda‐setting and the generating of alternatives but – unexpectedly – does not appear to affect the speed of decision making. Personality factors such as flexibility, achievement motivation, networking abilities, and action orientation seem to have a clearer impact on decision speed.

This study suggests ways to build successful teams by differentiating between the effects of experiences and personalities of team members. Furthermore, it indicates that teams might be able to compensate for different strengths and weaknesses within the team, and stresses the importance of transparent strategic objectives and leadership.

This study extends existing research by proposing ways to reduce the ambiguity of recent research results regarding the effects of management teams on strategic decision making. It is based on a broad empirical research and offers theoretical and managerial implications.

Decision comprehensiveness is an important process in determining the outcomes of strategic decision-making. While recent research began to explore its individual level antecedents, a fundamental aspect of organizational life, heterogeneous goals, have not been investigated for their effects on comprehensiveness. In this study, our purpose is to study the impact of goal heterogeneity on decision comprehensiveness and explore behavioral integration as a potential mediator in this relationship.

To test our hypotheses, we utilize a survey-based study with a sample of teams undertaking a business simulation. Our longitudinal data collection process captures team data across the initial-, mid-, and the ending-stages of the simulation.

Our findings show that goal heterogeneity negatively impacts behavioral integration and decision comprehensiveness. Moreover, the negative impact of goal heterogeneity on decision comprehensiveness is mediated through behavioral integration.

Given that many strategic decisions are undertaken by groups of individuals, it is imperative to understand the factors that impact team-level decision-making processes. Extending the literature, we empirically show the negative effects of goal heterogeneity on decision comprehensiveness. While doing so, we also show that behavioral integration – a team trait that can endure over time, as opposed to a one-time state – can be crucial in dampening this negative effect. Our findings suggest researchers, and managers, to be cautious in assuming decision comprehensiveness may easily be achieved in any given team context.

Distributed performance arrangements are increasingly used by organizations to structure dyadic and team interactions. Unfortunately, distributed teams are no panacea. This chapter reviews some of the advantages and disadvantages associated with the geographical and temporal distribution of team members. An extended discussion of the implications of distributed team performance for individual, team, and organizational decision making is provided, with particular attention paid to selected cultural factors. Best practices and key points are advanced for those stakeholders charged with offsetting the performance decrements in decision making that can result from distribution and culture.

When entrepreneurs create new ventures, they struggle with making consequential decisions under severe restrictions such as tight deadlines, limited resources, and lack of information. Making challenging decisions inherently requires creativity as entrepreneurs improvise and work around the limitations they face. Under these conditions, entrepreneurs resort to their heuristics and biases instead of rational decision models. Entrepreneurs employ – sometimes for better and sometimes for worse – a myriad of rule-setting heuristics and experience-based biases to navigate the difficult path between novelty and utility. In this chapter, the authors answer Shepherd, Williams, and Patzelt’s (2015) call for research into how entrepreneurs leverage heuristics and biases in decision-making and the benefits they gain as a result. The authors explore how entrepreneurs introduce heuristics and biases at different stages of their decision-making process using a qualitative study of 21 new ventures. The results attest to entrepreneurs’ ingenuity and creativity in managing complexity, ambiguity, and uncertainty.

There has been a lack of focus on multi-level issues within leadership research. Dionne and Dionne (2009) address this gap in the research by presenting a Monte Carlo simulation examining leadership at four levels of analysis within a group decision-making context. While their work makes a strong contribution to the sciences of leadership, group decision making, and team complexity, many aspects of the research demonstrate potential for great expansion and improvement. Toward this purpose, this commentary discusses and provides suggestions regarding the topics of computer simulation in team research, group decision-making theory, and the modeling of team complexity. It is intended to stimulate continued critical thinking and more innovative, practical, and carefully designed research efforts.

Professional sports teams employ highly paid managers and coaches to train players and make tactical and strategic team decisions. A large literature analyzes the impact of manager decisions on team outcomes. Empirical analysis of manager decisions requires a quantifiable proxy variable for manager decisions. Previous research focused on manager dismissals, tenure on teams, the number of substitutions made in games or the number of healthy players on rosters held out of games for rest, generally finding small positive impacts of manager decisions on team success.

The authors quantify manager decisions by developing a novel measure of game-specific coaching decisions: the Herfindahl–Hirschman Index (HHI) of playing-time across players on a team roster over the course of a season.

Evidence from two-way fixed effects regression models explaining observed variation in National Basketball Association team winning percentage over the 1999–2000 to 2018–2019 seasons show a significant association between managers’ allocation of playing time and team success. A one standard deviation change in playing-time HHI that reflects a flattened distribution of player talent is associated with between one and two additional wins per season, holding the talent of players on the team roster constant. Heterogeneity exists in the impact across teams with different player talent.

This is one of the first papers to examine playing-time concentration in the NBA. The results are important for understanding how managerial decisions about resource allocation lead to sustained competitive advantage. Linking coaching decisions to wins can help teams to better promote this core product.

Strategic decision making influences organizational performance. However, close examination of this relationship reveals a subtle paradox. It appears that the products of strategic decision making, all of which are necessary for enhanced organizational performance, do not peacefully coexist. Conflict seems to be the crux of this conundrum. As such, a better understanding of conflict's effects on strategic decision making is needed This paper integrates a multidimensional conceptualization of conflict Into a model of strategic decision making and organizational performance and develops propositions to guide empirical study of the effects of conflict on strategic decision making.

This study aims to examine how embeddedness influences consultants' information seeking when making decisions within a social network of relationships, and how these social networks evolve throughout the project delivery stages. The study is grounded in social network theory and examines embeddedness from three perspectives: structural (network cohesion), relational (tie strength in terms of friendship and knowledge awareness) and actor prominence.

A social network analysis (SNA) questionnaire was administered to a team of consultants working on a management consultancy project in Shanghai, China. The SNA measures of density, degree centrality and betweenness centrality were used to analyse relationship patterns among project team members, permitting comparison between the networks. Networks were also compared across the three project delivery stages of collect, consider and create.

Structural embeddedness was observed in the active information seeking behaviour among consultancy team members. The moderate network density of the self-organising information seeking networks across the project delivery stages ensures that the team remains connected but avoids information redundancy and overload. Relational embeddedness was evident through the multiplexity of ties among team members with overlapping friendship and information seeking relationships. The knowledge awareness network's sparseness indicates a team of autonomous knowledge workers with distributed expertise. Project managers were the most prominent actors across the three project delivery stages, underlining these actors' relational leadership role.

The study provides a deeper understanding of collaborative decision-making behaviours in dynamic-project environments. Limited attempts have been made to visualise and analyse the relationships involved in small consulting teams. The novelty of the network approach adopted stems from its ability to offer a structural view of the relationship among consultants, thus offering a distinctive and arguably more complete picture of consultancy team dynamics.

The study validates the social network theory of embeddedness in a real-world collaborative decision-making setting and provides a deeper understanding of information seeking behaviours for decision-making in dynamic-project environments. From a project management process viewpoint, the evolving nature of the information seeking network as it changes across the project stages with associated actors' roles was also visualised graphically, offering a distinctive and arguably more complete picture of consultancy team dynamics.