Leadership Quarterly最新文献

Informal leaders in social media currently characterize a large part of political and economic communication on various challenges societies face, whether localized or transborder (e.g., COVID-19 pandemic, global warming). Scholars have theorized that charismatic signaling is effective in informal leadership settings; yet empirical evidence remains scarce in understanding a ubiquitous phenomenon that marks our times and plays an important role in shaping public opinion. In this article, we used two unique data sets extracted from social media to investigate the success of charisma for informal leaders, leaders who signal their beliefs and preferences to others but having no formal authority over them. Social media offers us a standardized medium as well as a natural environment to test our predictions. Using a sample of TED talks and tweets, we coded for objective markers of charisma and found that using more verbal charismatic signals predicted (a) higher views for TED talks as well as higher ratings for the extent to which the talk was found to be inspiring—beyond attractiveness and nonverbal behavior—and (b) more retweets. We discuss the implications of such results for both theory and practice in the media age.

A key function of team leadership is building and sustaining shared mental models. Topological approaches to leadership identify structural patterns, such as decentralized and shared leadership that empower members to collectively lead themselves toward important goals, but an open question is the particular form of leadership that best promotes team mental models. We explored 8 leadership archetypes using a computational model fit on data from a unique sample of NASA analog space crews. Data from 4, 4-member crews living and working together for 45-days were used to parameterize the model which then accurately predicted mental models for the next set of 4-member crews. The validated model was used to conduct virtual experiments exploring the effects of leadership structures on mental models. We found shared leadership has the largest effect on shared mental models, followed by hierarchical and coordinated leadership. These findings extend shared leadership theory leveraging computational methods to examine leadership archetypes and suggest propositions about how they shape team functioning over time.

We present a computational method for predicting, and identifying the correlates of, leadership perceptions for prominent individuals. Our approach proxies knowledge representations for these individuals using high-dimensional semantic vectors derived from large-scale news media datasets. It then applies machine learning techniques to build a model that maps these vectors onto participant ratings of leadership effectiveness. This method greatly outperforms other approaches and achieves accuracy rates comparable to human participants in predicting leadership effectiveness judgments. Crucially, it relies on attributes and associations identified by established theories of leadership perception—notably implicit leadership theories—as guiding lay leadership perception. Thus, our model appears to have learnt the same implicit leadership cues as our human participants. In addition, we show that our approach can be used to not only predict leadership effectiveness judgments, but also to identify dimensions that people associate with effective leadership, as well as quantify the extent of this association for each dimension. We illustrate the broad applicability of our method by using it to predict leadership perceptions for over 6000 individuals in the public sphere, and to algorithmically uncover the particular traits, concepts, and attributes that people most strongly associate with effective leaders.

Leadership as a social influence process has always involved a complex set of phenomena that demands an interdisciplinary lens. Leadership scholarship has now entered into a digital era. In a digital era, the overall phenomenon is changing, as are the tools through which we study it, demanding a new “lens” through which we view leadership. Yet, this raises the question, to what extent is leadership different in a digital era? In acknowledgement of this trend, a special issue was commissioned at The Leadership Quarterly that sought to stimulate the imagination of leadership scholars and practitioners. In the current work, we begin with a brief review of who, what, when, where and why of digital leadership. We cover leadership in informal contexts (e.g., social media), generalization from face-to-face to virtual contexts, computational modeling, the leveraging of technology (e.g., machine learning; Big Data), as well methodological how-to guides. We then plot a path forward for leadership scholars in the dawn of the digital era.

This paper leverages technological and methodological advances in natural language processing to advance our understanding and approaches to leadership research by introducing structural topic models (STM) to researchers wanting to inductively code massive amounts of unstructured texts. Specifically, we illustrate the application of STM applied to a large corpus (N ≈ 8000) of unstructured text responses from a diverse sample of leaders to inductively generate a classification system of leader challenges and simultaneously examine whether the challenges being experienced by leaders covary with leader characteristics. Overall, we identify nine central leader challenges. Results indicate that certain leader challenges are more prevalent depending on the leader’s characteristics (e.g., gender), and that two challenges, Daily Management Activities and Communication, were significantly related to boss’ ratings of performance. We also highlight additional applications of this technique to aid leadership researchers who wish to inductively derive meaning from large amounts of unstructured texts.

What makes followers act collectively when called upon by their leaders? To answer this question, participants were randomly allocated to leader–follower relationships embedded either in a partisan group or a workgroup context; and the relationship between identity leadership and collective action through ingroup identification (Study 1: N = 293) or both ingroup identification and group-efficacy (Study 2: N = 338) were assessed. Based on the model of identity leadership, we predicted and found that identity leadership was positively related with intentions for collective action when called upon by the leader, both via ingroup identification and belief in group efficacy. As predicted, the social identity process for the effectiveness of identity leadership was more important in partisan groups than in workgroups. The efficacy related process was group context invariant. These results have implications for our understanding of group processes involved in the leadership in collective action.

We examine the effects of moral (vs. competent) leadership on followers' leader evaluations and endorsement. In Study 1 (N = 157), followers evaluated a leader more negatively and endorsed them less when they failed on morality than competence. An indirect effect from leader morality to leader evaluation, through perceived group prototypicality emerged, demonstrating the identity-basis of this evaluation. In Studies 2 (N = 150), 3 (N = 297), and 4 (N = 192) participants considered incongruous situations in which the leader failed on morality but succeed on competence, or vice-versa. Followers expressed more negative evaluations and less endorsement of an immoral but competent leader than of a moral but incompetent leader, through group prototypicality. In Study 4, we manipulated group prototypicality. A leader considered prototypical of the group received worse evaluations when they behaved immorally, irrespective of their competence. Results contribute to the understanding of leader-followers dynamics.

We demonstrate the value of a moral decision making paradigm for investigating the effects of intention and harm on followers' reactions to leaders' wrongdoing. We also introduce damaged relational identity as a mediator of these effects. Participants were assigned to one of four conditions in which intention to harm and harm were manipulated. The study was conducted using a stochastic, incentivized economic game that involved real monetary consequences for the followers. The results indicated that intention to harm was the primary determinant of followers' withdrawal behavior while actual harm had no effect on withdrawal. A desire to punish the offending leader was influenced by both intention and harm. Damaged relational identity mediated the effect of intention on withdrawal behavior and punishment. In contrast, harm's effect on punishment was direct. We hope that our study stimulates additional research on leader misconduct using intention and identification processes as linchpins.

Identity leadership theorizing suggests that leadership effectiveness derives from a potential leader’s perceived ability to create, embody, promote, and embed a shared group identity. However, little is known about how people integrate this information to form a judgment of a leader. We use cognitive modeling to operationalize leadership judgments as exemplar-and prototype-based categorization processes. Analysis of attribute rating data for 80 highly recognizable Americans revealed that leadership judgments were well-characterized by an exemplar-based model. Judgments were based overwhelmingly on promoting shared collective interests and embedding group identity. The pattern of attribute weightings was consistent for judgments of a general leadership role (i.e., as a competent leader) as well as judgments for a specific leadership role (i.e., as an effective US president). We discuss the implications of these findings for our understanding of identity leadership as well as for integrated social-cognitive models of individuals’ judgements of and responses to leaders.

Why do people support strong leaders? We examined the link between social identity continuity – the sense that a nation’s past, present, and future are interconnected – and the wish for a strong national leader. Drawing on a multi-country data set (Study 1: N = 6112) and a sample from Australia (Study 2: N = 621), Studies 1 and 2 showed that identity continuity was related to increased desire for a strong leader. Studies 3a (UK sample; N = 293) and 3b (US sample; N = 294) further showed that desired (not perceived) identity continuity was related to wish for a strong leader, suggesting that the key ingredient is the desire for continuity regardless of the perceived current levels of continuity. These findings suggest that people may want to preserve their national identity as a link to the past to face present and future challenges, even if it means forgoing democratic leadership.