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Charities in the United States contribute to the public good by delivering a broad range of services and by promoting civic engagement and social change. Though these dual roles are widely acknowledged, a relatively few studies explore advocacy among service-providing nonprofits. Analyzing a random sample of charities in the San Francisco Bay Area, the authors conceptualize nonprofits as institutionally embedded formal organizations and actors. The authors find that a majority of service providers blend advocacy and service provision. Organizational rationalization constructs nonprofits as goal-oriented actors working to benefit their constituents and society at large, increasing the likelihood that nonprofits will embrace advocacy. Moreover, collaboration embeds nonprofits in networks of mobilization and information for advocacy and facilitates engagement in political and social change activities. By contrast, embeddedness in the market is negatively associated with advocacy. These results reinforce the salient role of service-providing nonprofits in collective civic action and demonstrate how nonprofit embeddedness in multiple institutional influences affects engagement in advocacy.

This chapter advances an articulation of the contemporary knowledge worker as an infrastructural bricoleur. The practical and pragmatic intelligence of the contemporary knowledge worker, particularly those involved in project-based work, reflects an ability to build adaptable practices and routines, and to develop a set of working arrangements that is creative and event-laden. Like Ciborra’s octopi, workers augment infrastructures by drawing on certain forms of oblique, twisted, flexible, circular, polymorphic and ambiguous thinking until an accommodation can be found. These workers understand the non-linearity of work and working, and are artful in their pursuits around, through and beyond infrastructural givens. Modern knowledge work, then, when looked at through the lens of infrastructure and bricolage, is less a story of failure to understand, a limitation in training or the shortcomings of a system, but instead is more a mirror of the contemporary realities of today’s knowledge work drift as reflected in individuals’ sociotechnical practices.

The purpose of this paper is to explore what the attitudes of small firm owner-managers are to developing the skills of their key resources and then examine how these and other factors affect owner-managers’ preferences for training these employees.

This study of training in small road transport firms in West Australia is cast in light of the literature on human resource management in small firms underpinned by insights drawn using the resource based view of the firm. Small firms (less than 20 people) dominate this industry, while the increasing freight task, and extreme distances between West Australian ports, towns and mines highlight this sectors’ importance. Survey results from 39 small road transport firms and interviews with nine owner-managers are analysed.

Legislative, regulatory and licensing requirements were shown to be a key determinant of skills development. Employers ensured that basic standards for employee certification and qualification were met, as the penalty for not doing so would be too high. Regulations drove the need for certain types of training – licenses, fatigue management, occupational health and safety, handling dangerous goods, the Maritime Security Identification Card card, forklift license, mine site inductions – while owner-managers knew where to get the training their staff needed. Although regulation appeared most visible in prescribing what happened in relation to training for drivers, the relevance of owner-managers’ attitudes could not be ignored, nor could conditions in the firms external environment as this shaped how these requirements were met.

The RBV is useful in showing how skill development enabled similarity in skills across firms, while the attitudes owner-managers and economic and social conditions meant what happened in firms around skill development varied. The importance of small firm owner-managers’ attitudes are clearly highlighted and shown to influence organizational decisions and choices around training, but these were not independent of the regulatory framework and the economic and social conditions within which the firm operated. The small firms in this study did engage workers in formal training when necessary but it was put in the context of the idiosyncratic approach of the owner-manager and the day-to-day needs of the firm. “Training” was essentially about ensuring certain types of skills were held by employees and then passing on knowledge to ensure the behavior of employees was consistent with the owner-manager’s vision for the firm in its current environment.

Ways industry and government can encourage training activity that goes beyond the day-to-day firm needs are suggested.

In this book chapter, I focus on the epistemological, ontological and axiological practice traditions that help to reveal the taken-for-granted assumptions about the management of trust funds in First Nation communities. Informing this chapter is a qualitative research study involving 11 First Nation community members in Canada who were interviewed. Indigenous ways of knowing, being and doing and the theory of practice architectures are used to identify the cultural discursive, material-economic and social-political arrangements that enable and/or constrain practice. The findings reveal that Indigenous ways of knowing, being and doing collide adversely with trust account decision making due to the duties and obligations guiding trust settlement agreements. The ways in which trust account practices can be transformed to ensure greater alignment with Indigenous ways of knowing, being and doing are outlined.

The purpose of using an adaptive meshing strategy is to define the problem well with as few nodes as possible. The extent to which the discrete system adequately represents the problem being solved depends on the positioning of the grid points. It is the intention to show here that adding badly placed nodes to the region of interest in a mesh can reduce the accuracy of the resulting solution. A practical refinement strategy is presented where such problems are avoided.