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This paper seeks to develop a mid-range theory of how change recipient sensemaking processes affect the realization of strategic flexibility during simultaneous change in professional service firms.

The research presented is based on an exploratory embedded case study adopting a qualitative interpretive methodology, conducted at a professional service organization. A sensemaking lens was adopted in order to study organizational change processes. Data was collected through semi-structured open-ended in-depth interviews, and analyzed using first and second order analysis, inspired by the methodology used by Corley and Gioia (2004).

We identified four determinants of change recipient sensemaking: professional identification, dominant organizational discourse, equivocality of expectations, and cross-understanding between thought worlds. Case findings indicate that cognitive and affective dimensions of change recipient sensemaking are strongly interwoven in their effect on realizing strategic flexibility.

We contribute to the competence-based strategic management literature by introducing the concept of change recipient sensemaking in understanding the realization of strategic flexibility; by identifying four major determinants in a context of simultaneous change in a professional service organization; and by highlighting the interwoven and mutually reinforcing cognitive and affective dimensions of professional’s process of constructing meaning.

Purpose – To offer a theoretical explanation for observed physician resistance and rejection of high reliability patient safety initiatives.

Design/methodology/approach – A grounded theoretical qualitative approach, utilizing the organizational theory of sensemaking, provided the foundation for inductive and deductive reasoning employed to analyze medical staff rejection of two successfully performing high reliability programs at separate hospitals.

Findings – Physician behaviors resistant to patient-centric high reliability processes were traced to provider-centric physician sensemaking.

Research limitations/implications – Research, conducted with the advantage that prospective studies have over the limitations of this retrospective investigation, is needed to evaluate the potential for overcoming physician resistance to innovation implementation, employing strategies based upon these findings and sensemaking theory in general.

Practical implications – If hospitals are to emulate high reliability industries that do successfully manage environments of extreme hazard, physicians must be fully integrated into the complex teams required to accomplish this goal.

Social implications – Reforming health care, through high reliability organizing, with its attendant continuous focus on patient-centric processes, offers a distinct alternative to efforts directed primarily at reforming health care insurance. It is by changing how health care is provided that true cost efficiencies can be achieved. Technology and the insights of organizational science present the opportunity of replacing the current emphasis on privileged information with collective tools capable of providing quality and safety in health care.

Originality/value – The fictions that have sustained a provider-centric health care system have been challenged. The benefits of patient-centric care should be obtainable.

Persistent change has placed considerable pressure on organizations to keep up or fade into obscurity. Firms that remain viable, or even thrive, are staffed with decision-makers who capably steer organizations toward opportunities and away from threats. Accordingly, leadership development has never been more critical. In this chapter, the authors propose that leader development is an inherently dyadic process initiated to communicate formal and informal expectations. The authors focus on the informal component, in the form of organizational politics, as an element of leadership that is critical to employee and company success. The authors advocate that superiors represent the most salient information source for leader development, especially as it relates to political dynamics embedded in work systems. The authors discuss research associated with our conceptualization of dyadic political leader development (DPLD). Specifically, the authors develop DPLD by exploring its conceptual underpinnings as they relate to sensemaking, identity, and social learning theories. Once established, the authors provide a refined discussion of the construct, illustrating its scholarly mechanisms that better explain leader development processes and outcomes. The authors then expand research in the areas of political skill, political will, political knowledge, and political phronesis by embedding our conceptualization of DPLD into a political leadership model. The authors conclude by discussing methodological issues and avenues of future research stemming from the development of DPLD.

In this chapter, drawing primarily on Wittgenstein, we argue that a representationalist view of theory in an applied or practical science such as organization and management theory (OMT) is unrealistic and misleading, since it fails to acknowledge theory's ineradicable dependence on the dynamics of the life-world within which it has its ‘currency’. We explore some of the difficulties raised by the use of representational theorizing in OMT, and mainly explore the nature of a more reflective form of theorizing. Reflective theory, we argue, invites practitioners to attend to the grammar of their actions, namely to the rules and meanings that actors draw upon in their participation in social practices. In this view, the role of theory resembles the role Wittgenstein ascribed to philosophy: it is theory-as-therapy. The latter seeks to make action more perspicuous by providing the conceptual means to practitioners to engage in re-articulating, not only their taken-for-granted assumptions and models but also their modes of orientation and their ways of relating themselves to the situations in which they must work. Reflective theory works to draw their attention to aspects of people's interactions in organizations not usually noticed, to bring to awareness unconscious habits, confusions, prejudices and pictures that hold practitioners captive, and, furthermore, to point out that other continuations of them than those routinely followed are possible. This view of theory – as perceptually reorienting rather than as cognitively explaining – is illustrated by looking at the Karl Weick's sensemaking theory.

This chapter explores the impact of equality, diversity, and inclusivity (EDI) on internal change agents’ (ICAs) personal and professional development. We have surveyed 117 ICAs that undergo a four-year digital development programme at Edinburgh Business School (EBS). Our survey design draws from expectancy, surprise, sensemaking, and attribution theories to test four hypotheses using Spearman’s rank. We found that diversity features such as gender, age, sector affiliation, work experience, management responsibility, and programme stage do not strongly impact ICAs’ experience of personal and professional development. Surprisingly, some diversity features had a modest or moderate impact on ICAs’ experience of personal and professional development. This disconfirmed our basic assumption about the effectiveness of inclusivity practices in the digital development programme at EBS. We conclude that future research should further investigate the impact of evaluation on ICAs’ personal and professional development and how we can secure it in a digital Business School context.

Phenomena are what we as researchers begin with, and to study phenomena is to appreciate how any determination of things and events always relates back to the context in which they appeared. Phenomenology is the study of such relations of appearance and the conditions of such relations. Appearance is an active rather than superficial condition, a constant bringing together of experiencing beings and experienced things (including sentient beings), in what the modern “father” of phenomenology Edmund Husserl called conditions of intentionality, and what his errant, one-time student Martin Heidegger called conditions of thrownness and projection. This chapter delves into the philosophical background of this mode of study, before opening up into consideration of, first, where phenomenology has been influential in organization studies, and, second, the potential of the approach. In so doing, we suggest much can be made of reorienting research in organization studies away from an entitative epistemology in which things are seen in increasingly causally linked, detailed isolation, and toward a relational epistemology in which what exists is understood in terms of its being experienced within everyday lives.

Given the uncertain and often disruptive business environment, understanding how employees, teams, and organizations can recover from stress, build long-lasting resilience, and exploit failures as learning opportunities is key for employees’ well-being and organizational success. The book has been organized in three sections, each representing a major domain of inquiry: recovery, resilience, and learning. The chapters within each section elaborate on these domains, and each provides novel ideas and insights. The goal of this chapter is to summarize and integrate some themes and insights offered by the chapters in this book. Based on this summary and integration, the author will illuminate some exciting paths opened up by these chapters, which might be worth exploring further by other scholars in the future. Specifically, future research could benefit from (1) stronger integration of research on recovery, resilience, and learning from failure, (2) better understanding of the role of setbacks, failure, and adversity for recovery, resilience, and learning, and (3) investigations of the role of context for recovery, resilience, and learning from failure.

The nature of technologies that are recognised as Artificial Intelligence (AI) has continually changed over time to be something more advanced than other technologies. Despite the fluidity of understanding of AI, the most common theme that has stuck with AI is ‘human-like decision making’. Advancements in processing power, coupled with big data technologies, gave rise to highly accurate prediction algorithms. Analytical techniques which use multi-layered neural networks such as machine learning and deep learning have emerged as the drivers of these AI-based applications. Due to easy access and growing information workforce, these algorithms are extensively used in a plethora of industries ranging from healthcare, transportation, finance, legal systems, to even military. AI-tools have the potential to transform industries and societies through automation. Conversely, the undesirable or negative consequences of AI-tools have harmed their respective organisations in social, financial and legal spheres. As the use of these algorithms propagates in the industry, the AI-based decisions have the potential to affect large portions of the population, sometimes involving vulnerable groups in society. This chapter presents an overview of AI’s use in organisations by discussing the following: first, it discusses the core components of AI. Second, the chapter discusses common goals organisations can achieve with AI. Third, it examines different types of AI. Fourth, it discusses unintended consequences that may take place in organisations due to the use of AI. Fifth, it discusses vulnerabilities that may arise from AI systems. Lastly, this chapter offers some recommendations for industries to consider regarding the development and implementation of AI systems.