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"Mumford, Michael D"
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Leader Ethical Decision-Making in Organizations: Strategies for Sensemaking
by
Johnson, James F.
,
Mumford, Michael D.
,
Harkrider, Lauren
in
Ambiguity
,
Business and Management
,
Business Ethics
2012
Organizational leaders face environmental challenges and pressures that put them under ethical risk. Navigating this ethical risk is demanding given the dynamics of contemporary organizations. Traditional models of ethical decision-making (EDM) are an inadequate framework for understanding how leaders respond to ethical dilemmas under conditions of uncertainty and equivocality. Sensemaking models more accurately illustrate leader EDM and account for individual, social, and environmental constraints. Using the sensemaking approach as a foundation, previous EDM models are revised and extended to comprise a conceptual model of leader EDM. Moreover, the underlying factors in the model are highlighted—constraints and strategies. Four trainable, compensatory strategies (emotion regulation, self-reflection, forecasting, and information integration) are proposed and described that aid leaders in navigating ethical dilemmas in organizations. Empirical examinations demonstrate that tactical application of the strategies may aid leaders in making sense of complex and ambiguous ethical dilemmas and promote ethical behavior. Compensatory tactics such as these should be central to organizational ethics initiatives at the leader level.
Journal Article
Handbook of research on leadership and creativity
by
Mumford, Michael D., editor
,
Hemlin, Sven, 1948- editor
in
Leadership.
,
Transformational leadership.
,
Organizational change.
2018
The rapid pace of technological change and globalisation of products, competition and services have conspired to place a new premium on innovation for firms across the world. Although many variables influence creativity and innovation, the effective leadership of creative teams has proved especially important. This timely handbook presents the state of the art for what leaders must do to lead creative teams and how they should do it.
Handbook of organizational creativity
2012,2011
Handbook of Organizational Creativity is designed to explain creativity and innovation in organizations.This handbook contains 28 chapters dedicated to particularly complex phenomena, all written by leading experts in the field of organizational creativity.
Review of Instructional Approaches in Ethics Education
2017
Increased investment in ethics education has prompted a variety of instructional objectives and frameworks. Yet, no systematic procedure to classify these varying instructional approaches has been attempted. In the present study, a quantitative clustering procedure was conducted to derive a typology of instruction in ethics education. In total, 330 ethics training programs were included in the cluster analysis. The training programs were appraised with respect to four instructional categories including instructional content, processes, delivery methods, and activities. Eight instructional approaches were identified through this clustering procedure, and these instructional approaches showed different levels of effectiveness. Instructional effectiveness was assessed based on one of nine commonly used ethics criteria. With respect to specific training types, Professional Decision Processes Training (d = 0.50) and Field-Specific Compliance Training (d = 0.46) appear to be viable approaches to ethics training based on Cohen’s d effect size estimates. By contrast, two commonly used approaches, General Discussion Training (d = 0.31) and Norm Adherence Training (d = 0.37), were found to be considerably less effective. The implications for instruction in ethics training are discussed.
Journal Article
Group Size and Group Performance in Small Collaborative Team Settings: An Agent-Based Simulation Model of Collaborative Decision-Making Dynamics
by
Martin, Robert W.
,
Dionne, Shelley D.
,
Connelly, Shane
in
Agent-based models
,
Analysis
,
Collaboration
2022
The relationship between size and performance of collaborative human small groups has been studied broadly across management, psychology, economics, sociology, and engineering disciplines. However, empirical research findings on this question remain equivocal. Many of the earlier studies centered on empirical human-subject experiments, which inevitably involved many confounding factors. To obtain more theory-driven mechanistic explanations of the linkage between group size and performance, we developed an agent-based simulation model that describes the complex process of collaborative group decision-making on problem-solving tasks. To find better solutions to a problem with given complexity, these agents repeatedly explore and share solution candidates, evaluate and respond to the solutions proposed by others, and update their understanding of the problem by conducting individual local search and incorporating others’ proposals. Our results showed that under a condition of ineffective information sharing, group size was negatively related to group performance at the beginning of discussion across each level of problem complexity (i.e., low, medium, and high). However, in the long run, larger groups outperformed smaller groups for the problem with medium complexity and equally well for the problem with low complexity because larger groups developed higher solution diversity. For the problem with high complexity, the higher solution diversity led to more disagreements which in turn hindered larger groups’ collaborative problem-solving ability. Our results also suggested that, in small collaborative team settings, effective information sharing can significantly improve group performance for groups of any size, especially for larger groups. This model provides a unified, mechanistic explanation of the conflicting observations reported in the existing empirical literature.
Journal Article
Give them what they want or give them what they need? Ideology in the study of leadership
2014
In recent years, a number of new, values-based, or ideological models focusing on leader behavior have been proposed. These models include authentic, servant, character-based, ethical, spiritual, and aesthetic leadership. In the present effort, we argue that these models, despite some differences in key dimensions, are tied together by a focus on moral behavior. The available evidence indicates that these models have only modest predictive power with respect to organizational performance criteria. More centrally, we argue that tests of these models are characterized by significant methodological problems with respect to both measurement and control. Moreover, these models suffer from some serious substantive concerns, including the explicit confounding of leadership and morality, discounting of system impacts, inappropriate assumptions about follower needs, and inappropriate scientific inferences. These models also fail to provide viable new approaches for leader development. We conclude that caution must be exercised when these models are employed as a basis for understanding leadership.
Journal Article
An Agent-Based Model of Leader Emergence and Leadership Perception within a Collective
by
Martin, Robert
,
Connelly, Shane
,
Dionne, Shelley D.
in
Agent-based models
,
Analysis
,
Behavior
2020
Effective teamwork in an initially leaderless group requires a high level of collective leadership emerging from dynamic interactions among group members. Leader emergence is a crucial topic in collective leadership, yet it is challenging to investigate as the problem context is typically highly complex and dynamic. Here, we explore leadership emergence and leadership perception by means of computational simulations whose assumptions and parameters were informed by empirical research and human-subject experiments. Our agent-based model describes the process of group planning. Each agent is assigned with three key attributes: talkativeness, intelligence, and credibility. An agent can propose a suggestion to modify the group plan as a speaker or respond and evaluate others’ suggestions and leadership as a listener. Simulation results suggested that agents with high values of talkativeness, intelligence, and credibility tended to be perceived as leaders by their peers. Results also showed that talkativeness may be the most significant and instantaneous predictor for leader emergence of the three investigated attributes: talkativeness, intelligence, and credibility. In terms of group performance, smaller groups may outperform larger groups regarding their problem-solving ability in the beginning, but their performance tends to be of no significant difference in a long run. These results match the empirical literature and offer a mechanistic, operationalized description of the collective leadership processes.
Journal Article
A meta-analytic investigation of business ethics instruction
by
Antes, Alison L.
,
Waples, Ethan P.
,
Murphy, Stephen T.
in
Business
,
Business and Management
,
Business Ethics
2009
The education of students and professionals in business ethics is an increasingly important goal on the agenda of business schools and corporations. The present study provides a meta-analysis of 25 previously conducted business ethics instructional programs. The role of criteria, study design, participant characteristics, quality of instruction, instructional content, instructional program characteristics, and characteristics of instructional methods as moderators of the effectiveness of business ethics instruction were examined. Overall, results indicate that business ethics instructional programs have a minimal impact on increasing outcomes related to ethical perceptions, behavior, or awareness. However, specific criteria, content, and methodological moderators of effectiveness shed light on potential recommendations for improving business ethics instruction. Implications for future research and practice in business ethics are discussed.
Journal Article
Mental Models and Ethical Decision Making: The Mediating Role of Sensemaking
by
MacDougall, Alexandra E.
,
Steele, Logan M.
,
Johnson, James F.
in
Business and Management
,
Business Ethics
,
City councils
2016
The relationship between mental models and ethical decision making (EDM), along with the mechanisms through which mental models affect EDM, are not well understood. Using the sensemaking approach to EDM, we empirically tested the relationship of mental models (or knowledge representations about an ethical situation) to EDM. Participants were asked to depict their mental models in response to an ethics case to reveal their understanding of the ethical dilemma, and then provide a response, along with a rationale, to a different ethical problem. Findings indicated that complexity of respondents' mental models was related to EDM, and that this relationship was mediated by sensemaking processes (i.e., cause and constraint criticality, and forecast quality). The implications of these findings for improving integrity training in organizations, as well as ultimately understanding the role of mental models in EDM, are discussed.
Journal Article