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The case includes theoretical references to family business, organizational culture, resource-based value and leadership.

The case combines primary and secondary data. There is ample public information about Martin Guitar including histories of the company and its instruments. These were used for background. Primary data were provided by the company in the form of customized data and interviews.. The case writer has served Martin Guitar as a consultant and also plays Martin instruments. The case writer had numerous opportunities to interview Chris and his key lieutenants.

In 2019, C.F. Martin IV (Chris) was in his fourth decade leading one of the America’s oldest family-owned companies, C.F. Martin & Co., Inc. Martin Guitar is a globally known maker of fine guitars that are prized by collectors, working musicians and amateur musicians. Chris was raised in the family business and took on the CEO’s position at the age of 30. The case describes the company’s management practices and the culture that has emerged from them. In 2019, at age 64, Chris confronted issues faced by his predecessors over multiple generations: how to prepare the company for succession, and maintain its strong performance as a family-owned company in a dynamic industry environment.

The case is designed for a management course for upper-level undergraduates.

An algorithm is described for the incremental solution of elastic—plastic finite element analysis using a piecewise holonomic constitutive law based on a von Mises yield condition. The holonomic assumption effectively converts each incremental problem into a non‐linear elastic—plastic problem. The algorithm is iterative, substituting the non‐linear strain potential by a quadratic potential at each iteration, and convergence is proved. The algorithm has been implemented into a finite element program as a series of secant modulus approximations, and results for a variety of problems are given. The rate of convergence is fairly slow, but the algorithm can be very easily programmed as an extension of an elastic program, and may have value as an independent method of determining incremental elastic—plastic solutions.

This paper considers the classical problem of the deformation of an elastic‐plastic body subjected to a prescribed history of loading. Attention is focused on the basis for the time discretization of the problem for numerical solution. It is suggested that this discretization can be achieved consistently by conceiving of the problem as a sequence of holonomic, or non‐linear elastic, problems. Complementary work bounds can be given, in special circumstances, for increasing numbers of time steps. The holonomic problem for a single time step is a non‐linear mathematical programming problem: it is shown that the conventional Newton‐Raphson algorithm used in elastic‐plastic finite element analysis can be interpreted as an iterative procedure for finding the least value of the holonomic potential work functional.

This paper explores the impact of contemporary calculative practices, termed “accountingisation”, on Australian accounting academics' values. Also, it seeks to understand the rationale underlying the development of various university performance measurement systems (PMSs), and their implementation and evaluation.

A case study approach uses accounting academics' responses to an online survey and also semi-structured interviews with senior research-related leaders in a group of Australian universities. This is supplemented by document analysis. A narrative story-telling approach explores and presents the combined data observations, over the period 2010–2018, of two characters: a “typical” accounting academic and a “typical” vice-chancellor.

The study contributes to the literature on PMSs in understanding “accountingisation”, the rationale behind the development, implementation and evaluation of performance metrics by senior management and its impact on accounting academics. It juxtaposes and unpacks the complexities and nuances of PMSs and provides empirical evidence by highlighting the perceptions of both the Australian accounting academics and senior university management. The findings demonstrate a level of discontent among accounting academics in reconciling the expectations of increased “accountingisation” within university PMSs. These are juxtaposed against the views of senior university leaders who are influential in determining PMSs.

This paper is novel in considering the implications of “accountingisation” in a contemporary setting, focusing on accounting academics, values and individual PMSs within business schools.

Most current modeling approaches identify very small gains from trade reform. In this chapter, we examine recent developments in the literature to assess whether standard modeling approaches are mis-specifying, understating, or overstating the gains from trade reform. Key areas where the impacts of trade barrier reduction appear to be understated include the measurement of barriers; the aggregation of these barriers; process productivity gains, particularly those resulting from reallocation of resources between firms; product quality improvements and expansion of product variety; factor supply; and investment of gains from trade.

The purpose of this paper is to examine prominent issues and knowledge contributions from research exploring measurement and assessment of accounting research, impact and engagement. This paper also provides an overview of the other papers presented in this AAAJ Special Issue and draws from their findings to scope out future impactful research opportunities in this area.

Consists of a review and examination of the prior literature and the other papers published in this AAAJ Special Issue.

The paper identifies and summarises three key research themes in the extant literature: research productivity of accounting academics; the rise of the “Corporate University” and commodification of research; and, the benefits and limitations of Research Assessment Exercises. It draws upon work within these research themes to set out four broad areas for future impactful research.

The value of this paper rests with collating and synthesising several important research themes on the nature and impact of measurement and assessment of accounting research, impact and engagement, and in prompting future extensions of this work through setting out areas for further innovative research in the area.

The research examined in this paper and the future research avenues proposed are highly relevant to university academics, administrators and regulators/policymakers. They also offer important insights into matters of accounting measurement, accountability, and control more generally.

This paper adds to vibrant existing streams of research in the area by bringing together authors from different areas of accounting research for this AAAJ Special Issue. In scoping out an agenda for impactful research in the nature and impact of measurement and assessment of accounting research, impact and engagement, this paper also draws attention to underexplored issues pertaining to areas such as the “lived experience” of academics in the corporatised university and envisioning what a future “optimal” system of measurement and assessment of research quality might look like?

This paper aims to compare the performance of flow pulsation versus flow stirring in the context of mixing of a passive scalar at moderate Reynolds numbers in confined flows. This comparison has been undertaken in two limits: diffusion can be neglected as compared to convection (very large Peclet) and diffusion and convection effects are comparable. The comparison was performed both in terms of global parameters: pumping power and mixing efficiency and local flow topology.

The study has been addressed by setting up a common conceptual three-dimensional problem that consisted of the mixing of two parallel streams in a square section channel past a square section prism. Stirring and pulsation frequencies and amplitudes were changed and combined at an inlet Reynolds number of 200. The numerical model was solved using a finite volume formulation by adapting a series of open-source OpenFOAM computational fluid dynamic (CFD) libraries. For cases with flow pulsation, the icoFoam solver for laminar incompressible transient flows was used. For cases with stirring, the icoDyMFoam solver, which uses the arbitrary Lagrangian–Eulerian method for the description of the moving dynamical mesh, was used to model the prism motion. At the local flow topology level, a new method was proposed to analyze mixing. Time evolution of folding and wrinkling of sheets made up of virtual particles that travel along streak lines was quantified by generating lower rank projections of the sheets onto the spaces spanned by the main eigenvectors of an appropriate space-temporal data decomposition.

In the limit when convection is dominant, the results showed the superior performance of stirring versus flow pulsation both in terms of mixing and required pumping power. In the cases with finite Peclet, the mixing parameters by stirring and flow pulsation were comparable, but pulsation required larger pumping power than stirring. For some precise synchronization of stirring and pulsation, the mixing parameter reached its maximum, although at the expense of higher pumping power. At the local flow topology level, the new method proposed to quantify mixing has been found to correlate well with the global mixing parameter.

A new systematic comparative study of two methods, stirring and pulsation, to achieve mixing of passive scalars in the mini scale for confined flows has been presented. The main value, apart from the conclusions, is that both methods have been tested against the same flow configuration, which allows for a self-consistent comparison. Of particular interest is the fact that it has been found that accurate synchronization of both methods yields mixing parameters higher than those associated to both methods taken separately. This suggests that it is possible to synchronize mixing methods of a different nature to achieve optimum designs. The new theoretical method that has been proposed to understand the mixing performance at the local level has shown promising results, and it is the intention of the authors to test its validity in a broader range of flow parameters. All these findings could be taken as potential guidelines for the design of mixing processes in the mini scale in the process industry.

We examine whether self-stigmatization may affect the everyday social interactions of individuals with a diagnosed, affective mental health disorder. Past research demonstrates self-stigmatization lowers self-esteem, efficacy, and personal agency, leading to the likely adoption of role-identities that are at the periphery of major social institutions. We advance research on self-stigma by examining the likely interactional and emotional consequences of enacting either a highly stigmatized self-identity or a weakly stigmatized self-identity.

Using affect control theory (ACT), we form predictions related to the interactional and emotional consequences of self-stigmatization. We use the Indianapolis Mental Health Study and Interact, a computerized instantiation of ACT, to generate empirically based simulation results for patients with an affective disorder (e.g., major depression and bipolar disorder), comparing simulations where the focal actor is a person with a mental illness who exhibits either high or low levels of self-stigma.

Self-stigma is predicted to negatively influence patients’ behavioral expression, leading the highly self-stigmatized to enact behaviors that are lower in goodness, power, and liveliness than the weakly self-stigmatized. Their corresponding emotional expressions during these types of interactions are similarly negatively impacted. Even though these likely interactions are the most confirmatory for people with high levels of self-stigma, they lead to interactions that are behaviorally and emotionally more negative than those who have been better able to resist internalizing stigmatizing beliefs.

This piece has implications for the literature on the interactional and life course challenges faced by psychiatric patients and contributes to the self-stigma literature more broadly. This work will hopefully inform future research involving the collection of non-simulation-based data on the everyday interactional experiences of people with mental health problems.