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Researchers recommend a reorganization of the medical profession into larger groups with a multispecialty mix. We analyze whether there is evidence for the superiority of these models and if this organizational transformation is underway.

We summarize the evidence on scale and scope economies in physician group practice, and then review the trends in physician group size and specialty mix to conduct survivorship tests of the most efficient models.

The distribution of physician groups exhibits two interesting tails. In the lower tail, a large percentage of physicians continue to practice in small, physician-owned practices. In the upper tail, there is a small but rapidly growing percentage of large groups that have been organized primarily by non-physician owners.

While our analysis includes no original data, it does collate all known surveys of physician practice characteristics and group practice formation to provide a consistent picture of physician organization.

Our review suggests that scale and scope economies in physician practice are limited. This may explain why most physicians have retained their small practices.

Larger, multispecialty groups have been primarily organized by non-physician owners in vertically integrated arrangements. There is little evidence supporting the efficiencies of such models and some concern they may pose anticompetitive threats.

This is the first comprehensive review of the scale and scope economies of physician practice in nearly two decades. The research results do not appear to have changed much; nor has much changed in physician practice organization.

Enhanced revenue mobilization is essential in developing countries such as South Africa. However, it is inevitably a complex process, both from economic and political perspectives. Increasing the rate of value-added tax (VAT) has been identified as one option to increase tax revenue, although the likely effect of VAT rate changes on tax compliance behaviour is undetermined. This study considers the impact of such a change on the tax compliance behaviour of small business entities. In order to address the impact of VAT rate changes on tax compliance behaviour, a between-subjects pre-test/post-test online field experiment was conducted and designed to identify the implications of rate changes of various directions and magnitude.

Statistical analysis of the data obtained from the experiment indicated that small business entities are inclined to reduce the VAT liability when there is an increase in the VAT rate, and to do so by overstating purchases rather than under-declaring sales. This leads to an increase in non-compliance. The greater the magnitude of the VAT rate increase, the greater the level of non-compliance. In contrast, no significant relationships were identified between a decrease in the VAT rate and tax compliance.

This chapter employs a longitudinal social network approach to research small group teaching in higher education. Longitudinal social network analyses can provide in-depth understanding of the social dynamics in small groups. Specifically, it is possible to investigate and disentangle the processes by which students make or break social connections with peers and are influenced by them, as well as how those processes relate to group compositions and personal attributes, such as achievement level. With advanced methods for modelling longitudinal social networks, researchers can identify social processes affecting small group teaching and learning.

This chapter reviews 30 years of Advances in Group Processes. Its primary purpose is to study the part the series has played in the advances in the study of group processes that have taken place between 1984 and 2014.

This chapter places the 30 years of Advances in Group Processes in the context of the changes that took place between small groups research in the 1950s and group processes research in the 1980s and beyond.

Analyzing the policies of Advances in Group Processes and its contents, this chapter reflects on its role in the advances in group processes that have taken place since the 1980s. Between 1950 and 1980, small group research reinvented, reconceptualized, and reinvigorated itself as group process research. Between the two periods, small group research, its applied research, and its research programs became increasingly theory-driven and its concept of the group and its levels increasingly analytic. As a consequence of these changes, the concept of the field itself became increasingly analytic. The changes between the two periods in its theory, research, application, programs, and in its concept of the group and the way the field was conceptualized led to marked advances in group process research in the 90s and beyond – to more theory, more impact of it on application, and more, and more cumulative, growth of it. Advances in Group Processes was at once a reflection of the changes that took place between the two periods and a driving force in the advances in group processes research that have taken place ever since.

Advances in Group Processes is a fundamental resource for the development of theory and research on small groups and group processes. This chapter provides an overview of its contributions and places them in the context of the development of the field as a whole.

This chapter summarizes many conceptual, theoretical, and methodological topics related to studying group communication using qualitative research methods. First, it explains five of the most common theoretical frameworks used by group communication scholars (i.e., symbolic convergence theory, bona fide group perspective, unobtrusive control theory, dialectical theory, and structuration theory). Next, it discusses best practices and issues related to different data collection methods including observations, historical case studies, ethnographies, focus groups, and interview studies. Then, the chapter describes two primary data analytic tools, various iterations of constant comparison method, and qualitative content analysis. Finally, the chapter describes several innovative qualitative methods that may lead to new understandings of group communication processes including discourse analysis and discourse tracing, as well as new approaches to collecting qualitative network data and mediated data. The chapter concludes with a discussion of future research suggestions.

This qualitative study investigated how small group communication influences the development of shared mental models in a committee of public librarians addressing a problem-solving task. It examines the influence of communication themes, functions, roles, and rules on the group's development of shared mental models about the task and about team interaction. Data were collected over the course of a year from group meetings, email messages, group documents, and participant interviews and then analyzed using existing coding schemes and qualitative coding techniques. The findings indicate that within the group there was a strong superficial convergence around the task mental model and the team interaction mental model but a weaker convergence at a deeper level. Analysis of the group communication data shows that the group focused discussion on understanding the problem and identifying tasks, enacting group roles and rules that facilitated sharing information. The functions of their messages focused on task communication. The findings suggest that, in this group, communication themes most heavily influenced the development of a shared mental model about the task, while communication roles, rules, and functions were more influential toward the development of a shared mental model about team interaction. Implications for practice include adopting intentional tactics for surfacing mental models at various points in the group life and anchoring the emerging model within the collective cognition of the group through devices such as narratives, objects, or documentary materials.

In 2017, US federal agencies awarded over $86 billion in contracts to small businesses owned by members of under-represented groups (minorities, women, service-disabled veterans, and certified businesses located in economically distressed areas). The vast scale and scope of public procurement coupled with policies for supporting small disadvantaged businesses may drive federal agencies toward greater inclusiveness in awarding contracts, which may shape broader societal patterns of economic participation and social equity. However, the level of inclusiveness varies considerably across different federal agencies. The authors posit that differences in three key organizational mechanisms associated with federal agencies’ decision-making processes – administrative discretion, workplace discrimination, and legislative oversight – influence an agency’s level of inclusiveness in awarding contracts. They test these ideas using the annual small business procurement activities of 41 federal agencies, large and small, from 2002 to 2011. The authors find empirical evidence for economically significant effects of discretion, discrimination, and oversight on an agency’s inclusiveness in awarding contracts and discuss the scholarly, managerial, and policy implications.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.