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In this study, a tool has been designed and developed for learning about the concept of lag order within a dynamic model, which can be used in any teaching classes on statistics and financial data computation. To show a solution for a complex and multi-step process of finding the optimal lag order for multiple variables data series based on an information criterion a module using Visual Basic for Applications (VBA) for Microsoft Excel (MS Excel) is being developed. This module can be used for estimating a multivariate dynamic model as well as determining the optimal lag order of such a model.

Musina municipality is one of the driest regions in Limpopo Province, South Africa. It is, like many rural communities within the country, a low-income area. Nonetheless, being embedded within the tourism-orientated landscape of the Vhembe district in Limpopo, it possesses the potential for community-based tourism. This study aims to review the perception and application of tourism development policy in the Municipality using primary and secondary data. The study discovered poor enforcement of tourism development policy paired with a substandard knowledge of sustainable and responsible tourism principles. Consequently, the negative environmental impacts of tourism activities had exacerbated. The study recommends a need for improved policy implementation and strategies to advance local communities’ livelihoods while also managing natural resources.

The objective of this study is to establish the current state of library and information science (LIS) scholarship pertaining to anti-racism, equity, inclusion and social justice initiatives.

Using comprehensive search strategies, three LIS databases were searched for relevant literature published in the last 10 years and results were exported and de-duplicated using Endnote. Citations were screened by two blinded, independent reviewers based on pre-defined eligibility criteria. Citations in the final data set were then hand coded by three reviewers using deductive coding. Subject terms for all citations were categorized and consolidated to identify major themes across the corpus of included publications. Results were analyzed using bibliometrics and thematic analysis.

A total of 691 unique citations were included in this analysis based on inclusion criteria. Publication productivity has generally increased from 2011 to 2020; findings show publications from 170 source titles and 944 authors representing 33 countries. Prevalent themes included access to information, multiculturalism and social justice. Various populations groups, areas of LIS practice, library types and social justice topics have been addressed in the literature. Over 15% of citations focused on anti-racism efforts in LIS.

This study applied both bibliometric and thematic approaches to analyzing LIS literature at macro and micro levels regarding anti-racism, equity, inclusion and social justice.

The COVID-19 pandemic significantly increased demand for medical and protective equipment by frontline health workers, as well as the general community, causing the supply chain to stretch beyond capacity, an issue further heightened by geographical and political lockdowns. Various 3D printing technologies were quickly utilised by businesses, institutions and individuals to manufacture a range of products on-demand, close to where they were needed. This study gathered data about 91 3D printed projects initiated prior to April 1, 2020, as the virus spread globally. It found that 60% of products were for personal protective equipment, of which 62% were 3D printed face shields. Fused filament fabrication was the most common 3D print technology used, and websites were the most popular means of centralising project information. The project data provides objective, quantitative insight balanced with qualitative critical review of the broad trends, opportunities and challenges that could be used by governments, health and medical bodies, manufacturing organisations and the 3D printing community to streamline the current response, as well as plan for future crises using a distributed, flexible manufacturing approach.

The purpose of this paper is to assess the feasibility and benefits of providing weight management support via the workplace.

Quasi-experimental design using non-random assignment to a 12-week Slimming World (SW) weight management programme, either within the workplace or at a regular community group. Weight was recorded weekly and a 39-item questionnaire focused on mental and emotional health, self-esteem, dietary habits and physical activity habits administered at baseline, 12 weeks, six and 12 months.

In total, 243 participants enroled (workplace n=129, community n=114) with 138 completers (defined as those weighing-in at baseline and attending at least once within the last four weeks; workplace n=76, community n=62). Completers reported a mean weight change of −4.9 kg±3.4 or −5.7 per cent±3.8. Mental and emotional health scores increased (p < 0.05) from baseline to 12 weeks. Self-worth scores increased (p < 0.05) from baseline to 12 weeks, six and 12 months. Healthy dietary habit scores increased and unhealthy dietary habit scores decreased (p < 0.05) from baseline to 12 weeks, six and 12 months. Healthy physical activity habit scores improved (p < 0.05) from baseline to 12 weeks and six months. There were no significant differences between groups.

Participant demographic was predominantly female (94 per cent) aged 42.3 years, with only 13 men participating.

The results support the use of a 12-week SW weight management programme as a credible option for employers wanting to support staff to achieve weight loss and improve psycho-social health outcomes which could lead to improvements in quality of life and work performance.

Provides evidence for the delivery of weight management support via the workplace.

Big Data introduces high amounts and new forms of structured, unstructured and semi-structured data into the field of accounting and this requires alternative data management and reporting methods. Generating insights from these new data sources highlight the need for different and interactive forms of visualization in the field of visual analytics. Nonetheless, a considerable gap between the recommendations in research and the current usage in practice is evident. In order to understand and overcome this gap, a detailed analysis of the status quo as well as the identification of potential barriers for adoption is vital. The paper aims to discuss this issue.

A survey with 145 business accountants from Austrian companies from a wide array of business sectors and all hierarchy levels has been conducted. The survey is targeted toward the purpose of this study: identifying barriers, clustered as human-related and technological-related, as well as investigating current practice with respect to interactive visualization use for Big Data.

The lack of knowledge and experience regarding new visualization types and interaction techniques and the sole focus on Microsoft Excel as a visualization tool can be identified as the main barriers, while the use of multiple data sources and the gradual implementation of further software tools determine the first drivers of adoption.

Due to the data collection with a standardized survey, there was no possibility of dealing with participants individually, which could lead to a misinterpretation of the given answers. Further, the sample population is Austrian, which might cause issues in terms of generalizing results to other geographical or cultural heritages.

The study shows that those knowledgeable and familiar with interactive Big Data visualizations indicate high perceived ease of use. It is, therefore, necessary to offer sufficient training as well as user-centered visualizations and technological support to further increase usage within the accounting profession.

A lot of research has been dedicated to the introduction of novel forms of interactive visualizations. However, little focus has been laid on the impact of these new tools for Big Data from a practitioner’s perspective and their needs.