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Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a closed form models have been proposed, and this paper adds to that collection, introducing a new form of a Network GEV model that sub-parameterizes the allocation values for the assignment of alternatives (and sub-nests) to nests. This change allows the incorporation of systematic (nonrandom) error covariance heterogeneity across individuals, while maintaining a closed form for the calculation of choice probabilities. Also explored is a latent class model of nested models, which can similarly express heterogeneity. The heterogeneous models are compared to a similar model with homogeneous covariance in a realistic scenario, and are shown to significantly outperform the homogeneous model, and the level of improvement is especially large in certain market segments. The results also suggest that the two heterogeneous models introduced herein may be functionally equivalent.

This chapter highlights some of the tensions and most promising points of convergence between the strategic management and stakeholder theory literatures. We briefly examine the early development of both areas, identifying some of the background assumptions and choices that informed how the fields evolved, and how these factors led the two fields to engage in scholarly pursuits that seldom intersected for a period of years, followed by a renewal of interest among strategists in themes that are central to stakeholder theory. From this discussion, we develop a larger agenda with specific topics as examples of areas that offer promise for integrative research that can advance knowledge in both fields. Our vision of the future is one in which the larger aspirations of scholars in strategy and stakeholder theory are more fully realized with human purposes, broadly defined, as the focal point.

This chapter describes a case study of a social change project in medical education (primary care), in which the critical interpretive evaluation methodology I sought to use came up against the “positivist” approach preferred by senior figures in the medical school who commissioned the evaluation.

I describe the background to the study and justify the evaluation approach and methods employed in the case study – drawing on interviews, document analysis, survey research, participant observation, literature reviews, and critical incidents – one of which was the decision by the medical school hierarchy to restrict my contact with the lay community in my official evaluation duties. The use of critical ethnography also embraced wider questions about circuits of power and the social and political contexts within which the “social change” effort occurred.

Central to my analysis is John Gaventa’s theory of power as “the internalization of values that inhibit consciousness and participation while encouraging powerlessness and dependency.” Gaventa argued, essentially, that the evocation of power has as much to do with preventing decisions as with bringing them about. My chosen case illustrated all three dimensions of power that Gaventa originally uncovered in his portrait of self-interested Appalachian coal mine owners: (1) communities were largely excluded from decision making power; (2) issues were avoided or suppressed; and (3) the interests of the oppressed went largely unrecognized.

The account is auto-ethnographic, hence the study is limited by my abilities, biases, and subject positions. I reflect on these in the chapter.

The study not only illustrates the unique contribution of case study as a research methodology but also its low status in the positivist paradigm adhered to by many doctors. Indeed, the tension between the potential of case study to illuminate the complexities of community engagement through thick description and the rejection of this very method as inherently “flawed” suggests that medical education may be doomed to its neoliberal fate for some time to come.

The processes that underlie ability emotional intelligence (EI) are barely understood, despite decades of management research. Furthermore, the outcomes of these processes have been narrowly and prescriptively defined. To address this deficiency, I conducted a phenomenological study (n = 26). Findings from a public sector sample suggest that the underlying emotional processes of meaningful life events are – at least for now – better defined through the construct of emotion regulation. While it is part of the ability EI model, the emotional processing that occurs prior to emotion regulation being initiated is likely to be less consistent with current EI theory. Likewise, these processes lead to outcomes considerably more nuanced than currently appreciated in the EI literature. Consequently, what started as a gap-filling approach to research eventually turned into a problematization of what scholars seem to know about EI. I outline the theoretical and practical implications of this study for management, and offer suggestions for future research.