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The study aims to shed light on the historical and contemporary trends of biodiversity accounting literature, while simultaneously offering insights into the future of research in this sector. The paper also aims to raise awareness among accounting researchers about their role in preserving biodiversity and informing improvements in policy and practice in this area.

The Bibliometrix R-package is used to carry out an algorithmic historiography. The reference publication year spectroscopy (RPYS) methodology is implemented. It is a unique approach to bibliometric analysis that allows researchers to identify and examine historical patterns in scientific literature.

The work provides a distinct and comprehensive discussion of the four distinct periods demarcating the progression of scientific discourse regarding biodiversity accounting. These periods are identified as Origins (1767–1864), Awareness (1865–1961), Consolidation (1962–1995) and Acceleration (1996–2021). The study offers an insightful analysis of the main thematic advancements, interpretative paradigm shifts and theoretical developments that occurred during these periods.

The paper offers a significant contribution to the existing academic debate on the prospects for accounting scholars to concentrate their research efforts on biodiversity and thereby promote advancements in policy and practice in this sector.

The article represents the first example of using an algorithmic historiography approach to examine the corpus of literature dealing with biodiversity accounting. The value of this study comes from the fusion of historical methodology and perspective. To the best of the authors’ knowledge, this is also the first scientific investigation applying RPYS in the accounting sector.

This paper aims to answer the following research questions: Does the Canadian Arts Summit's membership (i.e. Canada’s largest cultural institutions) reflect Canada's diversity? What is the state of diversity among leadership roles within Canada's largest cultural institutions when viewed through a geographical, gender and racial diversity, and intersectional lens?

Employing a geographic, gender, racial diversity and intersectional lens, the authors investigated the largest and most influential arts and cultural organizations in Canada (n = 125) to examine their leadership diversity. The authors found that there is a disconnect between the diversity of Canada and the leadership representation among the largest arts organizations. The authors rationalize the management implications of a lack of diversity leading Canada's cultural sector.

The leadership of major arts organizations in Canada does not reflect the diversity of Canada's population. For example, among 125 Canadian Arts Summit organizations, only 5.7% of CEOs are racialized compared to 94.3% who are White. The findings show similar results for lack of diversity in the Artistic Director and Chair of the Board roles.

There is limited research using this methodology to investigate leadership diversity, especially in the arts and culture sector. This research can create a benchmark for the sector to improve the status quo. The value of this research aims to encourage policy actors and arts leaders to address diversity and inclusion within their organizations and the communities they aim to serve. This research provides the foundation for future studies exploring leadership diversity and representation in the Canadian arts sector.

Design, implementation, and evaluation are all important for integrated care. However, they miss one critical factor: education. The authors define “integrated care education” as meaningful learning that purposefully supports collaboration and the development of adaptive expertise in integrated care. The ECHO (Extensions for Community Health Outcomes) model is a novel digital health solution that uses technology-enabled learning (TEL) to facilitate, support, and model integrated care education. Using ECHO Concussion as a case study, the authors describe the effects of technology-enabled integrated care education on the micro-, meso-, and macro-dimensions of integrated care.

This case study was constructed using data extracted from ECHO Concussion from video-archived sessions, participant observation, and internal program evaluation memos. The research team met regularly to discuss the development of relevant themes to the dimensions of integrated care.

On the micro-level, clinical integration occurs through case-based learning and the development of adaptive expertise. On the meso-level, professional integration is achieved through the development of the “specialist generalist,” professional networks and empathy. Finally, on the macro-level, ECHO Concussion and the ECHO model achieve vertical and horizontal system integration in the delivery of integrated care. Vertical integration is achieved through ECHO by educating and connecting providers across sectors from primary to quaternary levels of care. Horizontal integration is achieved through the establishment of lateral peer-based networks across sectors as a result of participation in ECHO sessions with a focus on population-level health.

This case study examines the role of education in the delivery of integrated care through one program, ECHO Concussion. Using the three dimensions of integrated care on the micro-, meso-, and macro-levels, this case study is the first explicit operationalization of ECHO as a means of delivering integrated care education and supporting integrated care delivery.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.

Accurate values for infiltration rate are important to reliably estimate heat losses from buildings. Infiltration rate is rarely measured directly, and instead is usually estimated using algorithms or data from fan pressurisation tests. However, there is growing evidence that the commonly used methods for estimating infiltration rate are inaccurate in UK dwellings. Furthermore, most prior research was conducted during the winter season or relies on single measurements in each dwelling. Infiltration rates also affect the likelihood and severity of summertime overheating. The purpose of this work is to measure infiltration rates in summer, to compare this to different infiltration estimation methods, and to quantify the differences.

Fifteen whole house tracer gas tests were undertaken in the same test house during spring and summer to measure the whole building infiltration rate. Eleven infiltration estimation methods were used to predict infiltration rate, and these were compared to the measured values. Most, but not all, infiltration estimation methods relied on data from fan pressurisation (blower door) tests. A further four tracer gas tests were also done with trickle vents open to allow for comment on indoor air quality, but not compared to infiltration estimation methods.

The eleven estimation methods predicted infiltration rates between 64 and 208% higher than measured. The ASHRAE Enhanced derived infiltration rate (0.41 ach) was closest to the measured value of 0.25 ach, but still significantly different. The infiltration rate predicted by the “divide-by-20” rule of thumb, which is commonly used in the UK, was second furthest from the measured value at 0.73 ach. Indoor air quality is likely to be unsatisfactory in summer when windows are closed, even if trickle vents are open.

The findings have implications for those using dynamic thermal modelling to predict summertime overheating who, in the absence of a directly measured value for infiltration rate (i.e. by tracer gas), currently commonly use infiltration estimation methods such as the “divide-by-20” rule. Therefore, infiltration may be overestimated resulting in overheating risk and indoor air quality being incorrectly predicted.

Direct measurement of air infiltration rate is rare, especially multiple tests in a single home. Past measurements have invariably focused on the winter heating season. This work is original in that the tracer gas technique used to measure infiltration rate many times in a single dwelling during the summer. This work is also original in that it quantifies both the infiltration rate and its variability, and compares these to values produced by eleven infiltration estimation methods.

This paper explores the evidence of a long-run co-movement between aggregate unemployment insurance spending and the labor force participation rate in the USA. The unemployment insurance (UI) program tends to expand during an economic downturn and contract during an expansion. UI may incentivize unemployment and may also facilitate better matching in the labor market. Statistical evidence of the presence of a co-movement will thus shed new light on their dynamics.

This research applies time-series econometric approach using monthly data from 1959:1 to 2020:3 to test threshold cointegration and estimate a threshold vector error-correction (TVEC) model. The estimates from the TVEC model investigating the nature of short-run dynamics.

The Enders and Siklos (2001) test find evidence of threshold cointegration between the two indicating the presence of long-run co-movement. The estimates from the TVEC model investigating the nature of short-run dynamics find evidence that the growth in aggregate UI spending and the growth in labor force participation rate adjust simultaneously to maintain the long-run co-movement above the threshold in the short run. The author also observes the same short-run dynamics for the growth in aggregate UI spending and the growth in the labor force participation rate for females.

This model is bi-variate by construction and does not address causality.

The author argues that the UI program positively impacts the female labor market outcomes, for example, better matching. This finding may explain the upward trend in the labor force participation rate for females in the USA.

The research findings may justify the transfer programs for minority and immigrants.

This is first research that analyzes the UI programs impact on the labor force participation using a macroeconometric approach. To the best of the author's knowledge, this is the first study in this genre.