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Knowledge transfer (KT) processes are important for building and sustaining competitive advantages and dynamic capabilities. Prior research often treats KT processes as a firm-level capability, assuming knowledge flows uniformly within a firm. The purpose of this paper is to examine whether such a view is too simplistic because it ignores potential differences between inter-group and intra-group KT processes within a firm.

The authors surveyed 137 software development professionals in a large Japanese electronics firm regarding co-workers who acted as critical sources of useful knowledge and the factors that affected KT within and across internal organizational boundaries. Using regression analysis, the authors test the extent to which factors such as the characteristics of the knowledge, the characteristics of the tie, and the characteristics of the network differentially affect KT within internal organizational boundaries vs across them.

The authors find that factors such as the accessibility of the knowledge source, network density, and collective teaching all help in transferring knowledge, while knowledge tacitness inhibit such transfers, but that the effect of these properties varies significantly depending on whether KT occurs across group boundaries.

Existing research on KT within firms tends to treat all such transfers as uniform, with little difference between the dynamics of within-group transfer and between-group transfer. This study establishes key differences in KT between and within organizational groups, demonstrating that managers need to consider internal boundaries when deploying tools and strategies for facilitating knowledge flows.

The purpose of this paper is to develop theory regarding reputation and legitimacy signaling by organizations in contested emerging fields characterized by category ambiguity. Because impression management becomes increasingly important as category boundaries become fuzzy, the authors examine how highly participatory audiences in contested emerging fields respond to organizational attempts to seek acceptance and manage impressions.

Using a database of web-based advertisements by 1,226 medical marijuana dispensaries, the authors test the effect that dispensary attempts to signal either legitimacy or reputation have on audience approval.

The authors find that audiences react differently to communication strategies intended to build reputation vs those intended to build legitimacy. Under conditions of highly contested category legitimation, audiences respond positively to signals of legitimacy but negatively to signals of reputation.

This study advances the understanding of category emergence and category building under conditions of contestation. The study adds to the growing body of work that suggests category creation involves unique collaborative processes between organizations and audiences, and the authors show that these processes constrain organizational attempts at impression management.

This chapter focuses on ways libraries can ensure the services and collections they provide do not exclude bisexual people and indulge in the “bi erasure” that is otherwise so prevalent in society. The authors share best practices for public, academic, and school libraries to add bisexual/pansexual titles to their collections, as well as provide programmatic tips that include the larger bisexual/pansexual community. Most importantly, the authors highlight community partners, advocacy organizations, or non-profits that can serve as potential collaborators as librarians brainstorm programming for bisexual/pansexual patrons. This chapter also contains staff training guidelines and resources for creating a more welcoming environment for bisexual/pansexual patrons. The chapter concludes with a list of resources that will help librarians make more inclusive collections’ decisions and resource guides. It’s purpose is to help libraries better serve bisexual/pansexual patrons who are undoubtedly already library users.

Purpose – The purpose of this chapter is to project the global emergence of megacities through the 21st century using population scenarios consistent with the Special Report on Emissions Scenarios (SRES) of the Intergovernmental Panel on Climate Change (IPCC).

Methodology – A dynamic urban growth model is developed based on a scale-independent theory of growing networks taking into consideration the geographical and climatic suitability of the location of cities. The model is able to generate a series of megacity projections consistent with an experimental city size distribution based on a national urban population scenario consistent with Zipf's law. The model is applied to population projections for 45,316 cities around the world using three population scenarios from SRES.

Findings – All of the projections indicate that a large number of megacities will be generated in developing regions towards 2100, although the range is wide and depends on the population assumed in the scenarios. Some results indicate an extreme population concentration in megacities; this might be undesirable for national security, quality of life, and sustainable development. Transport policies affect urban growth and national land development through changes in mobility and accessibility across the nation.

Implications – The results presented in this chapter could serve to stimulate discussions on urban and national transport policies and planning, particularly in China.