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The paper traces the development of employee ownership in the UK since the 1980s. It proposes that employee ownership is a function of macro-level contexts and micro-level decisions, with the latter framed and guided by the former. The macro context comprises the regulatory framework and the provision of incentives to adopt employee ownership. The paper shows how the evolution of these has led to a steep increase in employee ownership in the last eight years.

The paper draws on several sources of empirical data to chart the development of employee ownership in the UK since the 1980s and to identify the current features of employee ownership. Two firm-level surveys conducted in 2015 and 2020/21 are supplemented by qualitative case study data collected in the early 1990s. An annual census of all employee-owned firms facilitates a comprehensive overview of the current state of UK employee ownership.

It is found that there has been a steep increase in the number of UK employee-owned firms since 2014 after several decades of uneven growth. This is attributed to the introduction of new incentives and to refinements of the regulatory framework. Over the period, there has been a shift from hybrid employee ownership, combining direct and indirect forms, to indirect ownership associated with the employee ownership trust model.

The paper provides an original history of employee ownership in the UK using rich and unique data, along with the most comprehensive picture of current employee ownership to date.

This study explores a hegemonic alliance and the role of relational forms of accounting and accountablity in the making of contemporary capitalism.

We use the WikiLeaks “Cablegate” documents to provide an account of the detailed machinations between interest groups (corporations and the state) that are constitutive of hegemonic activity.

Our analysis of the “Cablegate” documents shows that the US and Chevron were crafting a central role for Turkmenistan and its president on the global political stage as early as 2007, despite offical reporting beginning only in 2009. The documents exemplify how “accountability gaps” occlude the understanding of interdependence between capital and the state.

The study contributes to a growing idea that official accounts offer a fictionalized narrative of corporations as existing independently, and thus expands the boundaries associated with studying multinational corporate activities to include their interdependencies with the modern state.

The study traces how global capitalism extends into new territories through diplomatic channels, as a strategic initiative between powerful state and capital interests, arguing that the outcome is the empowerment of authoritarian states at the cost of democracy.

The study argues that previous accounting and accountability research has overlooked the larger picture of how capital and the state work together to secure a mutual hegemonic interest. We advocate for a more complete account of these activities that circumvents official, often restricted, views of global capitalism.

Present a method to impute missing data from a chaotic time series, in this case lightning prediction data, and then use that completed dataset to create lightning prediction forecasts.

Using the technique of spatiotemporal kriging to estimate data that is autocorrelated but in space and time. Using the estimated data in an imputation methodology completes a dataset used in lightning prediction.

The techniques provided prove robust to the chaotic nature of the data, and the resulting time series displays evidence of smoothing while also preserving the signal of interest for lightning prediction.

The research is limited to the data collected in support of weather prediction work through the 45th Weather Squadron of the United States Air Force.

These methods are important due to the increasing reliance on sensor systems. These systems often provide incomplete and chaotic data, which must be used despite collection limitations. This work establishes a viable data imputation methodology.

Improved lightning prediction, as with any improved prediction methods for natural weather events, can save lives and resources due to timely, cautious behaviors as a result of the predictions.

Based on the authors’ knowledge, this is a novel application of these imputation methods and the forecasting methods.

Adopting a welfare stance, this paper considers whether the neoliberalist approach which has been adopted by successive UK and Scottish governments will achieve optimal societal outcomes or lead to the under provision of senior housing.

Data collection centred on informed multi-stakeholder groups that have significant experience working in the retirement and senior housing sector. Core techniques included desk-based study of secondary academic, consultancy and policy documents. Primary data collection techniques involved primary participation of three Scottish taskforce meetings and interviews with key stakeholders from across the sector.

The paper concludes that without direct government intervention in the market, the welfare ambition to provide adequate housing for an ageing population will not materialise with significant shortfalls in appropriate stock predicted. To prevent this scenario developing, increased public and private sector interaction is essential.

The research follows the growing concern to provide research that has “real world” relevance. The paper conducts a detailed analysis of the Scottish government's housing strategy and reports on the findings of interviewees with key stakeholders. The paper makes recommendations for greater public/private partnerships.

I examine patterns of making or deferring strategic repatriations that firms can use to either meet analysts' forecasts or defer to maintain future reported earnings flexibility. First, I examine the extent to which firms repatriate earnings from high foreign tax subsidiaries to decrease US tax expense, resulting in increased net income and lower cash taxes. Using federal tax return information, I find evidence that firms strategically repatriate these earnings to meet or beat current analysts' forecasts. Next, I find evidence that firms that are able to obtain current year tax reductions defer these repatriations in an attempt to build cookie-jar reserves. Lastly, I find that firms do not disclose high foreign tax repatriations (HTRs), even when required by SEC rules. This study contributes to the earnings management, tax avoidance, and disclosure literature by examining a discretionary tax planning strategy.

The authors developed online learning modules to train graduate and undergraduate student instructors (GUSIs) on grading and delivering feedback in quantitative disciplines. The authors report results from multiple assessments conducted during recent training events at a mid-sized, research-intensive institution and discuss implications for educational development.

Using pre/post-assessments, the author measured participants' learning gains and skill development. In Study 1, the authors measured learning gains for 109 computer science GUSIs randomly assigned to complete the modules or not. Participants who completed the modules performed significantly better on the post-assessment relative to the control group across all seven module learning objectives aligned with GUSI responsibilities. In Study 2, we iterated on both assessments and modules, replicating Study 1 results for GUSIs from other quantitative disciplines. In Study 3, the authors compared learning gains from online modules to in-person training sessions, focusing on the authentic task of providing written feedback on student work.

Proficiency improved equally and significantly via both training modalities.

At research-intensive universities, GUSI training can be inconsistent and difficult to scale and rarely assessed via direct measures of outcomes. To the authors’ knowledge, this is the first study to rigorously measure GUSI skill development via authentic assessment tasks such as grading student work and/or providing effective written feedback rather than simply testing knowledge. This study also addresses implications for designing and implementing effective GUSI training at scale.