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Struggling writers and students with disabilities tend to have difficulties with multiple aspects of the writing process. Therefore, in this chapter, we describe Self-Regulated Strategy Development (SRSD; Harris, Graham, Mason, & Friedlander, 2008). SRSD is a writing intervention with extensive research demonstrating its effectiveness for improving the writing quality of struggling writers and students with disabilities when implemented by both teachers and researchers in a variety of educational settings. We also describe an ineffective writing practice, stand-alone grammar instruction. Although this type of grammar instruction is explicit, it is removed from an authentic writing context, and decades of research have demonstrated its negative effects on students’ writing quality. We close the chapter with recommendations for future research on SRSD as well as general suggestions for teachers who provide writing instruction to struggling writers and students with disabilities.

Entrepreneurial ecosystems have quickly become one of the most popular topics in entrepreneurship research. Ecosystems are the characteristics and factors of a place that support high-growth entrepreneurship. This provides the ability for the field to provide important policy insights about how to aid the development of high growth, innovative ventures, as well as generate new insights into the relationship between the entrepreneurship phenomenon and the contexts it takes place within. However, work in the field remains undertheorized, with a little understanding of how the entrepreneur benefits from being in a strong ecosystem. This chapter argues that it is helpful to return to Ed Malecki’s work in a previous volume of this series, which explored the importance of networks. His work has contributed to a very broad stream of work on entrepreneurial environment. Using this as a starting point, this chapter distinguishes between “top-down” approaches to study ecosystems, which focus on the actors and factors that make up an ecosystem, and a “bottom-up” approach, which instead examines the ways in which entrepreneurs use their ecosystem to get the resources, knowledge, and support they need. The chapter concludes by suggesting how a research agenda for a bottom-up study of ecosystems can be informed by Malecki’s work.

Historically black colleges and universities (HBCUs) possess an advantage in preparing students of color for the science, technology, engineering, and mathematics (STEM) workforce (Gasman & Nguyen, 2014; Upton & Tannenbaum, 2014). It has been suggested that implementing additional strategies to increase the availability, dissemination, and quality of information related to successful HBCU outcomes will allow HBCUs to sustain themselves into the future (Gasman & Nguyen, 2016). We discuss the use and benefits of a novel framework THRIVE Index tool (Byrd & Mason, 2020). THRIVE uses seven dimensions (e.g., Type, History, Research, Inclusion, Identity, Voice, and Expectation) to illustrate best practices of academic pipeline programs and increase the availability of HBCU success outcomes in a comparable format. Academic pipeline programs come in several varieties, but their goal is to propel individuals from one level of the academy to another and into the workforce. Using a common framework like THRIVE also allows for the creation of a clearinghouse of what successfully works for us at HBCUs from the perspective of HBCU pipeline program directors. We describe strategies for how this option for knowledge transfer to stakeholders (e.g. parents, corporations, educational institutions, etc.) can aid in long-term sustainability efforts like recruitment strategies and partnership efforts.

An extensive research base supports the positive effects of self-monitoring interventions on a number of student outcomes, both academic and behavioral. While the vast majority of this research base relied on traditional paper-and-pencil forms of self-monitoring, advances in technology have created significant opportunities to develop technology-based self-monitoring (TBSM) systems that may offer a number of benefits in terms of efficiency and data management, storing, and graphing. Technology-based self-management applications have evolved and been studied extensively in health-related fields, but research and development for such applications is only beginning in the field of education. In this chapter we (1) provide a brief overview of the literature on traditional forms of self-monitoring, (2) examine how educators and educational researchers may apply lessons learned about TBSM from the medical field, (3) summarize emerging literature on TBSM for students with or at risk for emotional/behavioral disorders in particular, and (4) offer suggestions for future research and development in TBSM.

Entrepreneurial ecosystems have become policy strategies to stimulate entrepreneurial activities, yet the current understanding underlying value creation and the factors influencing this value-capturing mechanism remains limited. In this chapter, we systematically review literature related to the entrepreneurial ecosystem, and we seek to provide a greater understanding of the value creation process within an ecosystem. The findings from our content analysis shed light on the multifaceted structures and drivers of the value creation process. The study contributes to studies and theory development in the field of entrepreneurial ecosystem literature and further advances potential future research.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Despite the mounting evidence of gazelles’ higher economic contribution, there is no consensus on whether and how to support gazelles. In this chapter, we therefore discuss varied gazelle policy views as well as the inherent challenges of supporting gazelles. Here, we draw on relevant academic literature as well as on international policy examples. Additionally, we analyze Germany’s gazelle policy stance by triangulating information collected from the literature, practical policy examples and interviews, we carried out with German support agencies and policymakers. Though Germany’s general policies and framework conditions create necessary conditions for gazelles to emerge, they are insufficient to guarantee their prevalence. Moreover, Germany’s policy approach of encouraging new firm formation and self-employment and its focus on the financial support for small as well as technology or innovation-oriented firms is not consistent with the state-of-the-art knowledge about gazelles. Using the case of Germany, we argue that general entrepreneurship policies and high-growth entrepreneurship (gazelle) policies are distinct approaches having divergent and sometimes conflicting objectives and support mechanisms, which need to be synchronized to be effective.

In this paper, it is argued that previous estimates of the expected cost of equity and the expected arithmetic risk premium in the UK show a degree of upward bias. Given the importance of the risk premium in regulatory cost of capital in the UK, this has important policy implications. There are three reasons why previous estimates could be upward biased. The first two arise from the comparison of estimates of the realised returns on government bond (‘gilt’) with those of the realised and expected returns on equities. These estimates are frequently used to infer a risk premium relative to either the current yield on index‐linked gilts or an ‘adjusted’ current yield measure. This is incorrect on two counts; first, inconsistent estimates of the risk‐free rate are implied on the right hand side of the capital asset pricing model; second, they compare the realised returns from a bond that carried inflation risk with the realised and expected returns from equities that may be expected to have at least some protection from inflation risk. The third, and most important, source of bias arises from uplifts to expected returns. If markets exhibit ‘excess volatility’, or f part of the historical return arises because of revisions to expected future cash flows, then estimates of variance derived from the historical returns or the price growth must be used with great care when uplifting average expected returns to derive simple discount rates. Adjusting expected returns for the effect of such biases leads to lower expected cost of equity and risk premia than those that are typically quoted.

Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.

The Nature of Business Policy Business policy — or general management — is concerned with the following six major functions: