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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.

Contraction in Colleges of Education in Britain has been complicated by their role in catering for university overflow candidates. Evolution in the structures of higher education affected the chances of survival of non‐university institutions differentially. The Department of Education and Science exercised both direct and indirect powers to manage the situation in the teacher education sector; the colleges were put in the position of having to make changes in their internal structures and course patterns in a situation of considerable uncertainty, sharpened competition and reduced resources. Unit‐structured diversified courses, often certificated by non‐university bodies do not easily square with the traditional pattern of concurrent training.

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.

Design and construction of indexing languages require thorough knowledge and understanding of the information environment. This empirical study investigated a mixed set of methods (group interviews, recollection of information needs and word association tests to collect data; content analysis and discourse analysis to analyse data) to evaluate whether these methods collected the data needed for work domain oriented thesaurus design. The findings showed that the study methods together provided the domain knowledge needed to define the role of the thesaurus and design its content and structure. The study was carried out from a person‐insituation perspective. The findings reflected the information environment and made it possible to develop a thesaurus according to the characteristics of the work domain. It seemed more difficult to capture the needs of the individual user and adapt the thesaurus to individual characteristics.

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.

Competition is a prominent topic of discussion among academics and practitioners; yet the relevant literatures in management and psychology lack a consistent definition to describe this phenomenon. Consequently, much of the mixed results concerning competition's impact on attitudes and performance might be due to conceptual differences about the construct. A survey administered in a laboratory setting demonstrated individuals perceive different types of competition, and these different types had different impacts on attitudes and behavior. One type of competition identified here, the opportunity for informal competition, draws from a vast literature in social psychology—using social comparisons to evaluate performance. These results support broadening the definition of competition and expanding future research investigation efforts. Informal social competition can potentially benefit efforts to effectively direct and enhance motivation.