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Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

Purpose: Entrepreneurial teams are one of the most crystallized forms of collaboration in the generically collective dynamics underpinning social entrepreneurship. Despite their quantitative prevalence, social entrepreneurial teams (SETs) remain quite absent from the scholarly literature. This chapter aims to develop a research agenda addressing this gap. Methodology/Approach: This chapter first reviews the scarce literature dealing with this subject and develops an operationalizable definition of SETs. Next, it confronts current knowledge on entrepreneurial teams with the specific context of social entrepreneurship to introduce and discuss main topics of investigation on SETs. Findings: Six topics are suggested to have a high potential for developing knowledge on SETs: formation, size and extended team, gender, decision-making and leadership, identity, and turnover. Research Implications: This chapter frames these research avenues within a developmental stages perspective with the aim to contribute to help form and maintain effective SETs. Originality/Value of Chapter: This research has implications for scholars as it defines SETs as a distinct object for research, which allows extending knowledge on collaborative dynamics in social entrepreneurship, but also on entrepreneurial teams in general. The suggested research agenda and its orientation toward the development of effective SETs should be a springboard for future research on this subject.

Contemporary organizations are facing an operating environment characterized by volatile, uncertain, complex, ambiguous, and “permanent whitewater.” To sustain high performance in this context, organizations must be able to change and develop as efficiently and effectively as possible. Within organizations, there are actors who catalyze and advance change in this manner; these actors are known as “champions.” Yet the scholar who wishes to conduct research concerning champions of change and organizational development is likely to be met by a highly fragmented literature. Varying notions of champions are scattered throughout extant research, where authors of articles cite different sources when conceptualizing champions; often superficially. Furthermore, many types of highly specific and nuanced non-generalizable champions have proliferated, making it difficult for practitioners and researchers to discover useful findings on how to go about making meaningful changes in their context. The purpose of this study was to address these problems for practitioners and researchers by engendering thoroughness, clarity, and coherence within champion scholarship. This was done by conducting the first comprehensive, critical yet insightful review of the champion literature within the organizational sciences using content analysis to re-conceptualize champions and develop a meaningful typology from which the field can be advanced. The chapter first suggests a return to Schön (1963) as the basis from which to conceptualize champions and, second, offers a typology consisting of 10 meta-champions of organizational change and development – Collaboration, Human Rights, Innovation, Product, Project, Service, Strategic, Sustainability, Technology, and Venture Champions – from which change practice and future research can benefit.

We discuss how experimental analysis can be integrated into strategic human resources management (SHRM) research in Africa so as to develop theory and value principles to guide executives.

The model we propose – experiment-based SHRM – is predicated on the use of experimental approaches to demonstrate the value of SHRM and to derive principles that guide research and practice in Africa.

We illustrate how scholars can conduct experiments from an SHRM perspective.

We discuss the strengths and limitations of the model and suggest ways of maximizing its potential.

The technique is a resource for scholars of SHRM in Africa. They can use it to supplement other approaches for studying SHRM.

This chapter discusses a typology of experimental analysis. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the SHRM research methodology literature. It can therefore help graduate students and junior faculty improve their research.

Participative budgeting is one of the most intensively researched budgeting variables in management accounting. Research has stalled, however. The purpose of this paper is to stimulate further research by providing an overview of antecedents of participative budgeting and suggesting ways to build upon extant research.

We assess 22 studies published prior to 2011 that offer statistical insights into why organizations use participative budgeting by theorizing and modeling it as a dependent variable.

This work answers two research questions regarding why organizations use participative budgeting: (a) Which antecedents of participative budgeting have been analyzed so far? (b) Which causal-model forms are used in extant research regarding the antecedents of participative budgeting?

This paper provides a detailed overview of empirical studies and respective findings aiming to explain why organizations use participative budgeting. Many prior studies have measured the association between contextual antecedents and participative budgeting. However, from a theoretical perspective, objectives of employees and supervisors are often used to explain the relation. Based on our literature review, we propose that all objectives identified so far intervene in the relationship between context and use of participative budgeting and also further detail these objectives. Consequently, our review analyzes the status quo of research on why organizations use participative budgeting and adds additional suggestions of underlying causal processes that can be tested in future studies.

We discuss the impact of complexity science on the design and management of health care organizations over the past decade. We provide an overview of complexity science issues and their impact on thinking about health care systems, particularly with the rising importance of information systems. We also present a complexity science perspective on current issues in today’s health care organizations and suggest ways that this perspective might help in approaching these issues.

We review selected research, focusing on work in which we participated, to identify specific examples of applications of complexity science. We then take a look at information systems in health care organizations from a complexity viewpoint.

Complexity science is a fundamentally different way of understanding nature and has influenced the thinking of scholars and practitioners as they have attempted to understand health care organizations. Many scholars study health care organizations as complex adaptive systems and through this perspective develop new management strategies. Most important, perhaps, is the understanding that attention to relationships and interdependencies is critical for developing effective management strategies.

Increased understanding of complexity science can enhance the ability of researchers and practitioners to develop new ways of understanding and improving health care organizations.

This analysis opens new vistas for scholars and practitioners attempting to understand health care organizations as complex adaptive systems. The analysis holds value for those already familiar with this approach as well as those who may not be as familiar.

This chapter briefly explores selected English and general education policy documents, curricula, and textbooks within the context of Kingdom of Saudi Arabia (KSA) from a Critical Discourse Analysis perspective and examines how they have changed pre- and post-21st century. First, a policy document related to education in KSA in general (pre-21st century) is analyzed along with an English language teaching (ELT) policy document of the same period. Next, two general policy documents post-21st century are explored, followed by one related to ELT policy. Finally, one post-21st century document related to higher education is discussed. The “network of practices” within which these documents are situated are first detailed, as well as the structural order of the discourse, and some linguistic analysis of the choice of vocabulary and grammatical structures (Meyer, 2001). Issues which might be problematic to the learning and teaching identities of the students and teachers interpreting these documents are also highlighted. Finally, we consider whether the network of practices at this institution and KSA in general “needs” the problems identified in the analysis and critically reflect on the analysis.

There has been much debate in the literature regarding whether political pressures are beneficial or detrimental to public agencies’ performance and outcomes. This chapter explores under what conditions, if any, do political pressures have any positive effects.

A survey methodology and multivariate regression models are applied to assess the relationship between political pressures and public agencies’ performance and outcomes, using data from South-America and Europe. The theoretical scope is developed drawing from the public sector, management control, and goal-setting literatures.

The effects of political pressures on public agencies’ performance and public officers’ job satisfaction are moderated by technical certainty. At low levels of technical certainty political pressures have negative effects while at high levels they have positive effects.

All limitations of survey research apply.

Governments, public officers, and politicians should take into account the dynamics described in this study so as to limit the negative effects of political pressures and take advantage of the positive ones.

This is the first study to suggest that the effects of political pressures on public agencies vary depending on the nature of the task public agencies perform. The results reported here bring a new perspective to the literature, helping to clarify prior conflicting results. In addition, the fact that results are consistent for South American and European public agencies suggests that these findings might be generalizable across cultural boundaries.