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Employees often improve at work by learning from others who have been successful. They learn by hearing their stories. However, the number of stories, task type and context all affect learning. The purpose of this paper is to examine how the number of stories they hear, the type of task they are learning to perform and their performance in the task to date all affect performance improvement.

The authors examine how task complexity and recent performance relative to others influence the relationship between the number of success stories a person reads and their subsequent performance. The authors used a sample of order processing employees from a label manufacturing company to test our hypotheses.

The authors find that in complex tasks, subsequent performance is highest when people read a small number of stories, and lowest when people read no stories or too many stories. In simple tasks, the authors find that when people have average recent performance, more stories leads to lower performance, but when recent performance is high or low, more stories increases subsequent performance.

The authors move beyond research that shows that people do not learn as much from success as they could and that success primarily promotes reinforcement to examine contingencies that enhance or detract from learning from success stories. This adds nuance to existing theory.

This study suggests access to others’ success stories is an alternative that can provide employees with ideas for how to improve their own performance. But care and consideration must be taken to limit the number of success stories based on the complexity of the task.

There is little research on either the vicarious learning of simple tasks in organizations or on how employees learn from others’ success stories. This matters because vicarious learning can enable employees to avoid missteps and create opportunities that would likely not happen if they only learn from their own experiences.

In this chapter, we assume the following: (1) the root cause of most organizational problems is culture and leadership, (2) executives seldom want to deal with these root causes, (3) because life is uncertain, organizational change is an emergent process, (4) most change processes unfold by reconstructing social reality, (5) the change process is inherently relational, (6) effective change efforts are enhanced by increasing the virtue of the actors, (7) change is embedded in the learning that flows from high-quality relationships, and (8) change agents may have to transcend conventional, economic exchange norms in order to demonstrate integrity and to build trust and openness. Drawing on the field of positive organizational scholarship, we focus on the change agent. We review the literature on self-change and offer several paths for becoming a positive leader.

In this paper, we offer a model of how leaders and managers can create energy for change by influencing patterns of conversation across the organization. We develop the model by linking social constructionist thought with theory from the field of positive psychology. We propose that effective leaders work with others to co-author persuasive narratives of change that generate energy by providing people (including themselves) with a sense of autonomy, competence, and relatedness. Energy is expressed in the form of support, time, money, and resources, which contribute to the success of the work. Continuous attention to crafting persuasive narratives in a collaborative way creates upward spirals of energy, and increases the probability of successful change over time. We illustrate these ideas with a case study of a successful IT change initiative in a Fortune 100 insurance company, and conclude by discussing implications for research and practice.

Scholarship on workplace diversity, equity, and inclusion (DEI) is voluminous. Nevertheless, there is relatively little work that examines DEI from an organization development and change (ODC) or systems perspective. As a result, there is no unified framework ODC practitioners can use for DEI diagnosis and intervention. The purpose of this chapter is to review the ODC literature with respect to DEI and propose a diagnostic Context-Levels-Culture (CLC) framework for understanding and addressing diversity-related challenges in organizations. We also present a case example of how this framework can be used in DEI consulting, including implications for future research and practice.

Even more than 50 years after the Civil Rights Act of 1964 prohibited discrimination toward a number of groups in employment settings in the United States, workplace discrimination remains a persistent problem in organizations. This chapter provides a comprehensive review and analysis of contemporary theory and evidence on the nature, causes, and consequences of discrimination before synthesizing potential methods for its reduction. We note the strengths and weaknesses of this scholarship and highlight meaningful future directions. In so doing, we hope to both inform and inspire organizational and scholarly efforts to understand and eliminate workplace discrimination.

This chapter utilizes a network perspective to show how the totality of one’s social connections impacts well-being by providing access to resources (e.g., information, feedback, and support) and placing limits on autonomy. We provide a brief review of basic network concepts and explain the importance of understanding how the networks in which leaders are embedded may enhance or diminish their well-being. Further, with this greater understanding, we describe how leaders can help promote the well-being of their employees. In particular, we focus on four key aspects of workplace networks that are likely to impact well-being: centrality, structural holes, embeddedness, and negative ties. We not only discuss practical implications for leaders’ well-being and the well-being of their employees, but also suggest directions for future research.