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Concepts equip the mind with thought, provide our theories with ideas, and assign variables for testing our hypotheses. Much of contemporary research deals with narrowly circumscribed concepts, termed simple concepts herein, which are the grist for much empirical inquiry in the field. In contrast to simple concepts, which exhibit a kind of unity, complex concepts are structures of simple concepts, and in certain instances unveil meaning going beyond simple concepts or their aggregation. When expressed in hylomorphic structures, complex concepts achieve unique ontological status and serve particular explanatory capabilities. We develop the philosophical foundation for hylomorphic structures and show how they are rooted in dispositions, dispositional causality, and various mind–body trade-offs. Examples are provided for this emerging perspective on “Big concepts” or “Big Ideas.”

With behavioral experiments and protocol analysis, researchers can capture cognition in action. Using behavioral experiments, they can study realized behavior, not perception or self-reports. And they can do that in a controlled laboratory environment to establish causality, curbing spurious relationships. With protocol analysis, a method to elicit decision-makers’ thoughts, researchers can tap into cognitive processes. In combination, the two methods offer a novel approach to grasp mental processes alongside behavior, to reach causality and replicate findings. We describe the methods, demonstrate how researchers can apply them, and share practices from the design of experimental instruments to the replication of findings.

The Institute of Medicine's seminal report, To err is human: Building a safer health system, established the national patient safety framework and initiated interest in changing the traditionally punitive healthcare culture. This paper reviews a multidisciplinary literature and offers an attribution framework to explicate the organizational processes that contribute to an industry-wide culture where clinicians are routinely blamed for adverse patient events. Attribution theory is concerned with the manner in which people explain the behaviors of others or themselves by assigning causality for events. To date, attribution theory, though well established in the management literature, has yet to be translated to healthcare. In this paper, we first describe the historical evolution of attribution theory in relation to human behavior in clinical practice and healthcare management and then discuss the work environments in contemporary healthcare organizations. Next, we demonstrate the applicability of attribution theory to healthcare by providing two adverse event exemplar cases. Then, the Healthcare Attribution Error Model is offered to demonstrate how concepts from attribution theory serve as antecedents to the employee cynicism, learned helplessness, organizational inertia, and the emerging Just Culture perspective. We conclude by suggesting attribution theory offers an important theoretical framework that warrants further conceptual development and empirical research. In the quest to produce exceptional healthcare environments where safety and quality are fundamental employee concerns, healthcare managers and clinical professionals need theoretically supported knowledge and evidence-based insights.

The authors propose a semiparametric approach for testing independence between two infinite-order cointegrated vector autoregressive series (IVAR(∞)). The procedures considered can be viewed as extensions of classical methods proposed by Haugh (1976, JASA) and Hong (1996b, Biometrika) for testing independence between stationary univariate time series. The tests are based on the residuals of long autoregressions, hence allowing for computational simplicity, weak assumptions on the form of the underlying process, and a direct interpretation of the results in terms of innovations (or shocks). The test statistics are standardized versions of the sum of weighted squares of residual cross-correlation matrices. The weights depend on a kernel function and a truncation parameter. Multivariate portmanteau statistics can be viewed as a special case of our procedure based on the truncated uniform kernel. The asymptotic distributions of the test statistics under the null hypothesis are derived, and consistency is established against fixed alternatives of serial cross-correlation of unknown form. A simulation study is presented which indicates that the proposed tests have good size and power properties in finite samples.

Mackenzie's LAMPE theory provides a new view of leadership that is multi-level, processual, and reflective of leadership as it actually occurs in practice. While we see this approach as representing a much needed frameshift for leadership research, we believe Mackenzie may be able to “break the frame” even farther by incorporating elements of complexity science into his thinking. We suggest how complexity science might help Mackenzie flesh out his ideas about distributed leadership, as well as consider leadership that is not only about alignment and control but also about enabling and releasing informal, interactive dynamics within the organization.

Evidence suggests habitual entrepreneurs (i.e. those with prior business ownership experience) are a widespread phenomenon. Appreciation of the existence of multiple entrepreneurial acts gives rise to the need to examine differences between habitual and novice entrepreneurs (i.e. those with no prior business experience as a founder, inheritor or purchaser of a business). This paper synthesizes human capital and cognitive perspectives to highlight behavioral differences between habitual and novice entrepreneurs. Issues relating to opportunity identification and information search, opportunity exploitation and learning are discussed. Avenues for future research are highlighted.

Ritual economy is a theoretical approach for understanding and explaining the ways in which worldview, economy, power, and human agency interlink in society and social change. Defined as the “process of provisioning and consuming that materializes and substantiates worldview for managing meaning and shaping interpretation,” this approach forefronts the study of human engagement with social, material, and cognitive realms of human experience. This chapter explores the theoretical roots of ritual economy and how they are expressed in this volume's contributions, which ground the discussion in actual case studies applied to both capitalistic and noncapitalistic settings across a number of different cultural contexts. By knitting together two realms of inquiry that often are sequestered into separate domains of knowledge, ritual economy exposes for analysis how the process of materializing worldview through ritual practice structures economic behavior without determining it.

This chapter addresses a lack of theory building in electronic-HRM (e-HRM) research and attempts to contribute with a (re-)conceptualisation of e-HRM as a nexus of practices and their material arrangements.

The work draws on theories from information systems research, science and technology studies, and sociology and organisation studies.

The (re-)conceptualisation indicates that future research should make further enquiries into the role of human agency and political processes in e-HRM.

As a methodological pathway a combination of ethnography and philosophical hermeneutics is proposed, enabling the achievement of a required pertinent sensibility in the study of social practices and human intentionality. Action research is also considered to be relevant for an engaged e-HRM scholarship.

The social implication of this research is the advancement of theories that emphasise the importance of human agency, morality and materiality in organisational processes.

The conceptualisation may thus facilitate research that reveal insights about involvement, reciprocity and power in e-HRM projects – knowledge that can direct the development of e-HRM project teams and thus facilitate strategic HRM.

Knight’s Risk, Uncertainty, and Profit is, by the author’s own account, “a study in ‘pure theory’.” From pure theory, the scientific method’s “successive approximations” explain empirical phenomena. But Knight did not fully develop the boundary conditions for theory. In this chapter, the author elucidates the demarcation of pure theory in Risk, Uncertainty and Profit. For comparison and contrast, the author uses Mises’s Austrian aprioristic methodology praxeology and its strict distinction between theory and thymology. The author finds that Knight and Mises largely agree on the nature and importance of pure theory but differ on its meaning and use. The author’s findings suggest that Knight, while arguing for aprioristic pure theory, still places empirical observation first.