Developing your organization with models and simulations

Mayfield, Jacqueline; Mayfield, Milton

doi:10.1108/dlo-04-2013-0010

Cited by 6 publications

(4 citation statements)

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“…Specifically, since we developed the basic model rationale, defined major constructs, and presented empirical support for the expected links earlier in the article, this section will explore how the process should unfold over time. While we will use a cross-sectional method to examine the model, presenting a theory as a temporal process helps better understand a model and provides a richer ground for theory testing than a static theory representation (Holton & Lowe, 2007; J. Mayfield & Mayfield, 2013; Weick, 2005; Wilensky & Rand, 2015).…”

Section: Empathetic Leadership Workplace Outcomes and Causal Mechanmentioning

confidence: 99%

Empathetic Leadership: How Leader Emotional Support and Understanding Influences Follower Performance

Kock

Mayfield

et al. 2018

Journal of Leadership & Organizational Studies

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115

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This article presents a theory of empathetic leadership and its initial test. Empathetic leadership provides a model of how leader understanding and support improves follower behaviors and affective states. For this article, we explored the link between empathetic leadership and follower performance. Specifically, we tested the causal processes by which empathetic language influences follower performance. These processes include follower job satisfaction and innovation. Findings support model hypotheses and provide preliminary causal support for the model.

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Section: Empathetic Leadership Workplace Outcomes and Causal Mechanmentioning

confidence: 99%

Empathetic Leadership: How Leader Emotional Support and Understanding Influences Follower Performance

Kock

Mayfield

et al. 2018

Journal of Leadership & Organizational Studies

Self Cite

115

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“…Simulation modeling provides a powerful, but underutilized tool for management theory development (Harrison, Lin, Carroll, & Carley, 2007; J. Mayfield & Mayfield, 2013;Proctor, 1996). While several foundational management theories have been derived from using computer simulations-such as work by M. D. Cohen, March, and Olsen (1972) on the garbage can decision making model-this methodology has largely been underutilized by later management scholars (Harrison et al, 2007).…”

Section: Simulation Methods and Softwarementioning

confidence: 99%

“…These situations are addressed in this article through theory development as aided by computer simulation methods. Simulation modeling provides a powerful, but underutilized tool for management theory development (Harrison, Lin, Carroll, & Carley, 2007; J. Mayfield & Mayfield, 2013; Proctor, 1996).…”

Section: Methodsmentioning

confidence: 99%

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The Diffusion Process of Strategic Motivating Language: An Examination of the Internal Organizational Environment and Emergent Properties

Mayfield

2016

International Journal of Business Communication

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Motivating language (ML) is a leader oral-communication strategy which has been significantly linked to such positive employee outcomes as higher job performance, increased job satisfaction, lower intention to turnover, and decreased absenteeism. However, most ML research has not targeted an organizational system at multiple levels. In brief, we have not looked at how this beneficial form of communication is actually implemented throughout an organization, including at the CEO level. In response to this gap, our main goals were to identify robust hypotheses on ML diffusion for future empirical testing, better understand the emergent processes of ML adoption within an organization, and advance development of related theory. These goals were achieved through an agent-based simulation model, drawn from management, communication, and social network scholarship. More specifically, overview, design concepts, and details protocol and NetLogo software were applied to simulate ML diffusion among all leader levels within an organization. This model also captured the influences of predicted moderators, and results were then interpreted to create testable hypotheses. Findings suggest that top-leader oral language use and organizational culture have the most profound impact on ML diffusion, followed by rewards, with partial weak support for the effects of training, turnover, and time. Recommendations were also made for future research on this topic, especially for empirical tests.

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