Search results

Universities globally have faced the introduction of research performance assessment systems that provide monetary and ranking rewards based on publication outputs. This study aims to seek an understanding of the implementation of performance-based research funding (PBRF) and its impact on the heads of departments (HoDs) and accounting academics in New Zealand (NZ) tertiary institutions. The study explores NZ accounting academics’ experiences and their workload; the relationship between teaching and research in the accounting discipline and any issues and concerns affecting new and emerging accounting researchers because of PBRF.

Applying an institutional theoretical lens, this paper explores accounting HoDs’ perceptions concerning the PBRF system’s impact on their academic staff. The research used semi-structured interviews to collect data from NZ’s eight universities.

The key findings posit that many institutional processes, some more coercive in nature, whereas others were normative and mimetic, have been put in place to ensure that academics are able to meet the PBRF requirements. HoDs suggest that their staff understand the importance of research, but that PBRF is a challenge to new and emerging researchers and pose threats to their recruitment. New academics must “hit the ground running” as they must demonstrate not only teaching abilities but also already have a track record of research publications; all in all, a daunting experience for new academics to overcome. There is also a teaching and research disconnect. Furthermore, many areas where improvements can be made in the design of this measurement tool remain.

The PBRF system has significantly impacted on accounting academics. Central university research systems were established that subsequently applied coercive institutional pressures onto line managers to ensure that their staff performed. This finding offers scope for future research to explore a better PBRF that measures and rewards research productivity but without the current system’s unintended negative consequences.

Many veterans struggle with the civilian world and the loss of identity associated with leaving the service. This research investigates the Building Heroes Charity's role in assisting service leavers transitioning to civil employment, in the United Kingdom (UK) and what can be learnt from the training and support.

An exploratory case study design was chosen to investigate the transition from military to civilian employment. The case study consisted of 12 in-depth interviews consisting of nine veterans, who had attended the Building Heroes courses and three course tutors.

The Building Heroes Charity does have an important role to fulfill in the transition of military personnel from the service to civilian work. There are positive outcomes that complement the work done by the Career Transition Partnership (CTP), but there still needs to be recognition that the needs of veterans do differ by age, transferability of competencies and the financial resources available.

The limitations of this research are the sample size is small and the majority of the veterans are from the Army. This is mostly because the Army is the largest of the services.

Though there is limited research into the employment of veterans, there is evidence to demonstrate that veterans are more likely to suffer from depression and potential homelessness than nonservice personnel. This research is unique in investigating the role of a charity whose main purpose is to improve the employability of veterans by reducing the competency skills gap between the military and construction industry.

This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.

In this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.

This study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.

According to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.

Immigration-themed children’s literature can be an important resource in the classroom, especially because some U.S. immigrant groups, including French-Canadians, have received limited curricular representation. Using the qualitative method of critical content analysis, this study aims to examine depictions of French-Canadian immigrants to the United States in contemporary children’s books.

Postcolonialism is employed as an analytical lens with special attention given to the ways immigrant characters are constructed as different from the dominant group (i.e., othering), how dominant group values are imposed on immigrant characters, and how immigrant characters resist othering and domination. Three books comprise the sample: “Charlotte Bakeman Has Her Say” by Mary Finger and illustrated by Kimberly Batti, “Other Bells for Us to Ring” by Robert Cormier, and “Red River Girl” by Norma Sommerdorf.

The findings reveal multiple instances in which French-Canadian immigrants are constructed as Other and few instances in which these characters resist this positioning, and these books reflect the real ways French-Canadians were perceived as subalterns during the mass migration from Québec to the United States between the late 19th and early 20th centuries.

This study is significant because it examines portrayals of a substantial immigrant group that has been overlooked in the immigration history curriculum. This sample of children’s books may be used to teach children the complexities of immigration history and provide a more nuanced understanding of immigration during the 19th and 20th centuries.