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This paper analyzes the cash flow and corporate finance structure of large‐size Russian enterprises required by law to privatize. The legal framework and governmental regulatory structure of Russia's mass privatization program are presented, and particular emphasis is placed on tracing the flow of cash (versus Russian privatization vouchers) between enterprises, investors and the government. Most Russian firms raise no cash during the initial privatization process and, accordingly, have substantial difficulties in obtaining funds to continue operations and to finance their growth and expansion. The authors believe that undue emphasis on the use of privatization vouchers has placed many newly privatized firms in conditions of extreme financial distress. Examples of the initial financial structure of three Western corporate finance transactions — spin‐offs, leveraged buy‐outs (LBOs) and Chapter 11 reorganizations — are compared to the initial endowment of liquid resources in Russian firms undergoing privatization.

As a sector, higher education is at the low end of innovation rankings. The challenges we face – demographic, technological, political, and pedagogical – will require sustained innovation at a strategic level. Recent research with mature companies has identified exemplars in strategic innovation (e.g., O’Connor, Corbett, & Peters, 2018). This work explores whether – and how – higher education institutions might adapt insights from the corporate sector for strategic innovation in teaching and learning.

The introductory section provides an overview of the nature of strategic innovation (and why it is hard to sustain), strategic issues facing higher education, and the status and challenges of sustaining strategic innovation for teaching. The next two sections describe insights from research with corporate exemplars of sustaining strategic innovation. Each section uses a scenario from higher education as a proof-of-concept test to explore the application of the corporate sector insights for strategic innovation in higher education teaching and learning.

The final section of the chapter discusses the planned next steps to prototype and test adaptation of these corporate sector insights with institutional innovation leaders in higher education, as well as additional potential sources of insights (from other research in the corporate sector and from strategic innovation in the public sector).

The purpose of this paper is to fill important gaps by using the attachment theory and examining the effects of supervisors’ early family environment on their behaviors toward subordinates and subordinates’ responses.

The authors used samples of 334 supervisor–subordinate pairs from a manufacturing company.

The study finds that supervisors’ harmonious family environment has a positive influence on subordinates’ responses (job satisfaction, work-to-family enrichment and task performance) through the effect of supervisors’ positive working model and caregiving behavior. On the contrast, supervisors’ conflicting family environment has a negative influence on subordinates’ responses through the effect of supervisors’ negative working model and aggressive behavior.

Existing studies mainly explore the influence of organizational environment on supervisors’ treatment of their subordinates. However, few have examined the relationship between supervisors’ early family environment and their treatment of their subordinates.

Autism spectrum disorder (ASD) has been studied as a neurodevelopmental disorder since Leo Kanner's early observations of abnormal head circumference in autistic children. In the past few years, there has been much progress made in elucidating the anatomical and functional abnormalities in ASD. This paper aims to summarise the extant research.

This paper provides a summary of relevant research findings in the neuroimaging of autism for the past 12 month period. Papers were identified using the Medline search terms: autism; ASD (functional); magnetic resonance imaging (MRI); neuroimaging; diffusion tensor imaging (DTI); and endophenotype.

Relatively recent techniques such as functional MRI and DTI have furthered the initial work derived from early histological and structural imaging studies. Even newer techniques, such as DTI tractography and support vector machine analysis, and other computer‐based learning methods have allowed us to move beyond regional variations in grey and white matter volume and study ASD as a disorder of connectivity, and of regional cerebral function and neural circuitry. Brain regions and neural circuits that are implicated in the core symptoms of ASD (deficits in social reciprocity, language and communication, and restricted and stereotyped interests) have been repeatedly shown to be abnormal in those individuals.

This paper aims to provide a background for clinicians to the current research and focuses on developments in the field of neuroimaging of ASD from the past year, which have generated further insights into the neurobiology of ASD.