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The purpose of this paper is to discover if there is a correlation between scores on the Beck’s Depression Inventory (BDI) and the Cognitive and Physical Functioning Questionnaire (CPFQ) scores of 43 patients with major depression.

In total, 43 adult patients with major depression were evaluated during their regularly scheduled outpatient appointment in a mental health clinic.

There was an R² value of 0.6544 between the patients’ scores, a moderate-to-strong correlation which matches other observations that cognitive impairment increases in conjunction with severity of depression. This correlation lends further clinical support to the legitimacy of using the CPFQ as a simpler alternative to traditional neuropsychological testing, with further testing of the correlation between CPFQ and traditional neuropsychological testing results being a worthwhile potential field of study.

Cognitive dysfunction is a frequent comorbidity in patients with depression, but while there is a brief and effective self- assessment for depression, the BDI, in common use, there is no equivalent test for cognitive dysfunction, and physicians are forced to rely on less accessible methods of neuropsychological testing.

The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed.

This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study.

It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse.

This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and summarises the impact of SCA on performance found in previous empirical papers and determines the influence of several identified moderators.

Using a meta-analysis approach based on a systematic literature review, a total of 63 empirical papers comprising a sample of 14,469 firms were meta-analysed to consider substantive (type of performance and SCA operationalisation) and extrinsic (economic region and industry) moderators.

Results confirm a significantly large, positive correlation between SCA and performance. None of the analysed moderators has enabled the identification of any significant differences between the SCA and performance correlations by subgroup. However, high heterogeneity in total variance, both in the full sample and the subgroups by moderator, demands further rigorously reported empirical research on this topic with clearly conceptualised variables and frameworks and the use of validated scales.

Several research gaps and best practice recommendations have been indicated to improve future empirical research on this topic.

Practitioners in different economic regions and industries will find consistent evidence of improvements in performance through SCA.

No meta-analysis has been found in previous research to estimate the value of the correlation between SCA and performance and the influence of moderating variables.

To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.

Assessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.

Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.

DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.

Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.

First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.

The purpose of this paper is to offer original ideas into a potential future cannabis industry in the UK. This paper presents novel approaches regarding the potential existence of cannabis for the tourism industry. It presents an idea in which the UK Government could produce, distribute and control the industry. The proposed idea presents a scheme in which the UK could encourage regional tourism (inclusive to domestic and international travellers) through a controlled but innovative cannabis market scheme. This paper presents a future scenario aiming to encourage dialogue and critique, at a time when attitudes to cannabis are changing.

This research takes a scenario narrative approach in presenting and exploring a potential future cannabis market in the UK. The importance of narrative writing as a method is recognised by Lindgren and Bandhold (2009), who identify the significance in telling a story to the reader. Taking a pragmatic approach, embracing diverse philosophical methods, this research explores past and current trends via a mixture of secondary data sources to create and present a scenario narrative of the future.

This paper identified that trends in legalising cannabis for cultivation, medical and recreational purposes continue to become more liberal globally. However, cannabis laws mainly focus on the use for residents. Consequently, domestic tourism markets have the potential to grow. However, there is limited consideration regarding the potential for international tourism cannabis markets. Thus, the findings of this research are based on the potential for the UK to implement and promote a cannabis industry for international travellers.

This paper offers original ideas in exploring a future cannabis market in the UK, one where regional tourism is considered. The paper presents a novel approach that encourages domestic and international tourists to engage with the cannabis industry by navigating a well-managed, local approach to supplying cannabis in the UK.

Considering the growing interests in managerial and accounting issues related to blockchain technology (BT), the study aims at identifying the main research venues in this specific field. In particular, the purpose is to understand the spatial and temporal production and distribution of research documents, highlighting the most relevant topics, the most influential authors and research.

This research carries out a bibliometric analysis of 189 research documents in the business, management and accounting areas. Data collection and refining is carried out from the Scopus database. The data analysis is based on a hybrid literature review approach using a descriptive bibliometric method, data analysis visualization (through VOSViewer software) and thematic analysis.

Results indicate that research studies focused on BT and accounting have been growing exponentially over the last three years, with authors who previously focused on generalist themes, and are now facing more specific issues. Through cluster analysis, the authors propose the framework of accounting domain and blockchain technology (ADOB) to systematize and visualize the map of current studies about the BT in the accounting domain.

The analysis highlights some aspects less investigated at the first research stage in the field of BT and accounting, such as the growing need of new accounting and control processes to address the practical issues of BT implementation and the need for education and training to stimulate a proper use of BT by accountants and practitioners.

This study is the first to adopt a bibliometric and thematic analysis to investigate BT in the accounting domain. The authors provide significant insights that could guide and foster the use of BT for accountants and practitioners, defining future research lines and a research agenda for academic researchers.