What good leaders actually do: micro-level leadership behaviour,leader evaluations,and team decision quality

We supplement broad definitions of leadership behaviour with the concept of micro-level leadership behaviour, leaders’ verbal and non-verbal visible conduct and interaction. For the context of team decision-making, we identify two potentially beneficial micro-level leadership behaviours, question asking and behavioural mimicry. Specifically, we propose that under conditions of informational complexity and unshared information, participative leadership is most appropriate for team decision-making, that its effects are mediated by inquiring and empathy, and that question asking and mimicry are the behavioural micro-level manifestations of inquiring and empathy. We thus hypothesize that the effect of participative leadership on team decision quality and leader evaluation is mediated by question asking and mimicry. We conduct a laboratory experiment with student teams working on a hidden profile decision-making task and measure question asking through behavioural coding and mimicry with motion sensors. Results show that the effect of participative leadership on decision quality is mediated by question asking, and that the effect of participative leadership on leader evaluation as transformational is mediated by leaders’ behavioural mimicry and question asking. Under control of these micro-level behaviours, team decision quality and leader evaluations were unrelated.     

Eye Movements in Strategic Choice

In risky and other multiattribute choices, the process of choosing is well described by random walk or drift diffusion models in which evidence is accumulated over time to threshold. In strategic choices, level‐k and cognitive hierarchy models have been offered as accounts of the choice process, in which people simulate the choice processes of their opponents or partners. We recorded the eye movements in 2 × 2 symmetric games including dominance‐solvable games like prisoner's dilemma and asymmetric coordination games like stag hunt and hawk–dove. The evidence was most consistent with the accumulation of payoff differences over time: we found longer duration choices with more fixations when payoffs differences were more finely balanced, an emerging bias to gaze more at the payoffs for the action ultimately chosen, and that a simple count of transitions between payoffs—whether or not the comparison is strategically informative—was strongly associated with the final choice. The accumulator models do account for these strategic choice process measures, but the level‐k and cognitive hierarchy models do not. © 2015 The Authors. Journal of Behavioral Decision Making published by John Wiley & Sons Ltd.     

When and why hierarchy steepness is related to team performance

This study develops and tests a contingency theory on the functions of status hierarchy steepness in teams. Findings from a field study among 438 employees working in 72 work teams across diverse business settings demonstrate that task complexity moderates the relationships between status hierarchy steepness, different types of team conflict, and team performance. Steeper status hierarchies were negatively related to both process and task conflict, and hence increased team performance in teams working on tasks with lower complexity but did not yield such clear conflict and performance effects in teams working on more complex tasks. By showing that various levels of task complexity determine whether status hierarchy steepness has a conflict-regulating function that drives team performance, this research generates valuable insights about the context dependency of team responses to status hierarchy steepness.     

Sentiment de responsabilité pour le changement et l'innovation dans le contexte du comportement de santé : le rôle de la charge de travail cognitive,le leadership,l’autonomisation et la personnalité proactive

The innovation is one of the possible answers to the actual global competitive context able to foster and cope the high standards necessary for survival and competition of the organisations. The objective of this study, realized in the health context, is the exploration of the relationships between the innovative work behaviour and three antecedents (proactive personality, job cognitive demands and empowering leadership) trying to maintain the interactionist perspective between individual factors and context factors. These relationships have been investigated with a mediator role of felt responsibility to change, the individual belief that has a person when has feeling of responsibility in a realisation of transformations and new and constructive changes.     

The Suffocation of Marriage: Climbing Mount Maslow Without Enough Oxygen

This article distills insights from historical, sociological, and psychological perspectives on marriage to develop the suffocation model of marriage in America. According to this model, contemporary Americans are asking their marriage to help them fulfill different sets of goals than in the past. Whereas they ask their marriage to help them fulfill their physiological and safety needs much less than in the past, they ask it to help them fulfill their esteem and self-actualization needs much more than in the past. Asking the marriage to help them fulfill the latter, higher level needs typically requires sufficient investment of time and psychological resources to ensure that the two spouses develop a deep bond and profound insight into each other's essential qualities. Although some spouses are investing sufficient resources—and reaping the marital and psychological benefits of doing so—most are not. Indeed, they are, on average, investing less than in the past. As a result, mean levels of marital quality and personal well-being are declining over time. According to the suffocation model, spouses who are struggling with an imbalance between what they are asking from their marriage and what they are investing in it have several promising options for corrective action: intervening to optimize their available resources, increasing their investment of resources in the marriage, and asking less of the marriage in terms of facilitating the fulfillment of spouses’ higher needs. Discussion explores the implications of the suffocation model for understanding dating and courtship, sociodemographic variation, and marriage beyond American's borders.     

Divergence Behaviour of the Successive Geometric Mean Method of Pairwise Comparison Matrix Generation for a Multiple Stage,Multiple Objective Optimization Problem

This paper focuses on the divergence behaviour of the successive geometric mean (SGM) method used to generate pairwise comparison matrices while solving a multiple stage, multiple objective (MSMO) optimization problem. The SGM method can be used in the matrix generation phase of our three‐phase methodology to obtain pairwise comparison matrix at each stage of an MSMO optimization problem, which can be subsequently used to obtain the weight vector at the corresponding stage. The weight vectors across the stages can be used to convert an MSMO problem into a multiple stage, single objective (MSSO) problem, which can be solved using dynamic programming‐based approaches. To obtain a practical set of non‐dominated solutions (also referred to as Pareto optimal solutions) to the MSMO optimization problem, it is important to use a solution approach that has the potential to allow for a better exploration of the Pareto optimal solution space. To accomplish a more exhaustive exploration of the Pareto optimal solution space, the weight vectors that are used to scalarize the MSMO optimization problem into its corresponding MSSO optimization problem should vary across the stages. Distinct weight vectors across the stages are tied directly with distinct pairwise comparison matrices across the stages. A pairwise comparison matrix generation method is said to diverge if it can generate distinct pairwise comparison matrices across the stages of an MSMO optimization problem. In this paper, we demonstrate the SGM method's divergence behaviour when the three‐phase methodology is used in conjunction with an augmented high‐dimensional, continuous‐state stochastic dynamic programming method to solve a large‐scale MSMO optimization problem. Copyright © 2013 John Wiley & Sons, Ltd.