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The aim of the study was to analyze the performance of Black-Litterman (BL) portfolios using a views estimation procedure that simulates investor forecasts based on technical analysis.

Ibovespa, S&P500, Bitcoin and interbank deposit rate (IDR) indexes were respectively considered proxies for the national, international, cryptocurrency and fixed income stock markets. Forecasts were made out of the sample aiming at incorporating them in the BL model, using several portfolio weighting methods from June 13, 2013 to August 30, 2022.

The Sharpe, Treynor and Omega ratios point out that the proposed model, considering only variable return assets, generates portfolios with performances superior to their traditionally calculated counterparts, with emphasis on the risk parity portfolio. Nonetheless, the inclusion of the IDR leads to performance losses, especially in scenarios with lower risk tolerance. And finally, given the impact of turnover, the naive portfolio was also detected as a viable alternative.

The results obtained can contribute to improve investors practices, specifically by validating both the performance improvement – when including foreign assets and cryptocurrencies –, and the application of the BL model for asset pricing.

The main contributions of the study are: performance analysis incorporating cryptocurrencies and international assets in an uncertain recent period; the use of a methodology to compute the views simulating the behavior of managers using technical analysis; and comparing the performance of portfolio management strategies based on the BL model, taking into account different levels of risk and uncertainty.

This paper investigates the nature of port-city relationships in two major port regions of the world, Europe and Asia. Although this issue is well analyzed through either isolated case studies or general models, it proposes a complementary approach based on urban and port indicators available for 121 port cities. In terms of demographic size and container traffic, it shows the decline of port-urban dependence, stemming from changes in global transportation and urban development. However, European and Asian port cities are not identically confronted to the same challenges, notably in terms of their hinterlands. A factor analysis highlights a regional differentiation of port-city relationships according to their insertion in both urban and port systems, with a core-periphery dualism in Europe and a port-city hierarchy in Asia. Thus, the distance to inland markets for European ports and the size of coastal markets for Asian ports are the main factors to explain the nature of port-city relationships in the two areas. It helps to evaluate which European and Asian port cities are comparable beyond their cargo volumes, by putting together micro (local environments) and macro (regional patterns) factors.

The purpose of this paper is to explore what happens when changes to clinical practice are proposed and introduced in healthcare organisations. The authors use the implementation of Treatment Escalation Plans to explore the dynamics shaping the translational journey of a complex intervention from research into the everyday context of real-world healthcare settings.

A qualitative instrumental collective case study design was used. Data were gathered using qualitative interviews (n = 36) and observations (n = 46) in three English acute hospital trusts. Normalisation process theory provided the theoretical lens and informed data collection and analysis.

While each organisation faced the same translational problem, there was variation between settings regarding adoption and implementation. Successful change was dependent on participants' ability to manage and shape contexts and the work this involved was reliant on individual capacity to create a new, receptive context for change. Managing contexts to facilitate the move from research into clinical practice was a complex interactive and iterative process.

The paper advocates a move away from contextual factors influencing change and adoption, to contextual patterns and processes that accommodate different elements of whole systems and the work required to manage and shape them.

The paper addresses important and timely issues of change in healthcare, particularly for new regulatory and service-oriented processes and practices. Insights and explanations of variations in implementation are revealed which could contribute to conceptual generalisation of context and implementation.

This paper explores the work of the educational theorist Gert Biesta in a setting outside of the context where it was originally developed. It aims to address how Biesta’s approach can help educators and policy makers question the philosophical underpinnings of education in the UAE and thereby start a conversation that is currently absent in this context. The paper comprises three elements: first, an overview of Biesta’s educational theory is given with a focus on ‘subjectification’ and his self-titled “pedagogy of interruption”. Secondly and in brief, I use Biesta’s framework of educational dimensions to analyse the philosophy underlying education in the United Arab Emirates using published government documents and media sources. Thirdly, I report a small-scale qualitative analysis of a specific educational space, three General Studies Courses in a UAE tertiary institution, to investigate the ‘risky’ possibilities involved in implementing a pedagogy of interruption. I find that despite a dominant policy discourse that discounts subjectification, there are significant opportunities for students to develop a strong sense of self. These opportunities are created by a small but strongly motivated group of teachers and taken up, on the whole enthusiastically, by students. However, my assertions are limited by a number of challenges which warrant further research. This paper hopes to provide a meaningful contribution to the limited discussion regarding the aims and expectations of education in the Middle East, and finds a pertinent philosophical grounding for liberal studies teaching in a tertiary context. As such the paper will be of value both to policy and decision makers in the Middle East and to teachers and trainers who teach in multi-cultural and international contexts.

To review the literature and identify research gaps in the role and influence boards of directors of companies have in occupational health and safety (OHS).

This was done in a scoping review built on a structured search in MEDLINE (PubMed), EMBASE, PsycINFO, Sociological Abstracts, CCInfoWeb, EconLit, Web of Science, CINAHL and gray literature. Citations and reference lists were tracked. Inclusion criteria were publication in English. Exclusion criteria were studies covering companies using subcontractors to arrange OHS, or with <250 employees.

Forty-nine studies were included. The majority contained empirical data (n = 28; 57%), some were entirely normative (n = 16; 33%), and a few contained normative claims far beyond empirical data (n = 5; 10%). Empirical studies gave no insight into the scope of impact of board activities on OHS, and no studies assess the causal mechanisms by which board activities influence OHS outcomes. Most studies focused on both health and safety (n = 20; 41%) or only safety (n = 15; 31%). Context might explain the focus on safety rather than health, but is not clearly elucidated by the studies. Several studies are describing leadership behavior, although not framed as such. A narrative summary is presented to facilitate future research.

Future research should include: (1) which board activities influence OHS, (2) how board activities influence OHS, (3) the influence of context and (4) the leadership role of boards of directors.

This study identifies a total lack of research on the basic mechanics of the relationship between boards and OHS.

Railway-level crossings (RLCs) are the point of intersection between rail and road users and are therefore hotpots of road-rail user conflict and catastrophic collisions. The purpose of this study is to assess the risks associated with RLCs and suggest probable reduction measures. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of Addis Ababa light rail transit (AA-LRT) north-south (N-S) route. The identified risky events are then categorized based on As Low As Reasonably Practicable (ALARP) principle and generic risk ranking matrix. The authors then examine existing safety management measures at railway crossing and assess the need for additional safety management. Five major crossings on the 16.9 km (10.5 mi) N-S line, starting from Menelik II Square to Kality, were considered for the study. This study is carried out by data collection from about 145 stakeholders and the application of statistical data and risk analysis methods. The major findings of this study and the recommendations for improvement are suggested.

The research followed a case study approach. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of AA-LRT N-S route. The identified risky events are then categorized based on ALARP principle and generic risk ranking matrix. Collected data was then analyzed using SPSS to deduce relationships.

The study findings reveal human factors as the greatest cause of accidents, injury or death. About 22% of hazards identified by category are human factors, whereas 20% are because of technical problems. Intolerable risks stand at 42%, whereas the tolerable risks are at 36% according to risk classification results as per the ALARP model. Because the process of risk management is a long-term cycle, its importance should not be missed at any time.

Because of design considerations of RLCs and the difference in generalized human behaviors for people of a given region, the results are limited to AA-LRT RLCs. This study opens a discourse for detailed evaluations, qualitative and quantitative analysis into the categorized identified hazards. There is also room for additional research into the performance of RLCs aimed at formulating standard necessary features that should be included on RLCs for proper risk control especially in emerging economies.

The research paper is original and has not been submitted for consideration to other journals.

This paper has two purposes. First, it aims to explore how Australian universities used calculative rhetoric and practices through accounting numbers to persuade employees and legitimize their financial recovery plans to alleviate the financial hardship caused by the COVID-19 pandemic. Second, it aims to analyze how the accounting-based solutions were legitimized through a well-blended pathos, logos and ethos rhetoric.

Building on a rhetorical theory of diffusion, we employed a qualitative research design within all 37 Australian public universities involving Internet-based documentary analysis.

This study finds that in an urgent crisis like the fiscal crisis caused by COVID-19, universities again found rescue in accounting tools, in particular budgets, as a rhetorical device to justify their operational and strategic choices such as job-cuts, programs closures and staff pay-cuts. However, in this crisis, the same old accounting-based solutions were even more quickly to be accepted by being delivered in management’s colorful blending of pathos–logos–ethos rhetoric.

While this study is constrained to Australian public universities’ financial responses, its findings have implications for university decision-makers and higher education policymakers across the globe when it comes to university management using calculative devices in persuading employees to work their way through financial hardship caused by an extreme health crisis-like COVID-19 pandemic.

This study adds more evidence that the use of budgets as a calculative tool continues to play a key role in organizations in the construction, mobilization and preservation of certain strategic and operational choices during volatilities. Especially, the same way of creating calculative-based solutions can be communicated via the colorful blending of different rhetoric to make it acceptable.

Misinformation is a significant phenomenon in today's world: the purpose of this paper is to explore the motivations behind the creation and use of misinformation.

A literature review was undertaken, covering the English and Russian language sources. Content analysis was used to identify the different kinds of motivation relating to the stages of creating and communicating misinformation. The authors applied Schutz's analysis of motivational types.

The main types of motivation for creating and facilitating misinformation were identified as “in-order-to motivations”, i.e. seeking to bring about some desired state, whereas the motivations for using and, to a significant extent, sharing misinformation were “because” motivations, i.e. rooted in the individual's personal history.

The general model of the motivations underlying misinformation is original as is the application of Schutz's typification of motivations to the different stages in the creation, dissemination and use of misinformation.

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are limited to 140 characters. This led users to create their own novel syntax in tweets to express more in lesser words. Free writing style, use of URLs, markup syntax, inappropriate punctuations, ungrammatical structures, abbreviations etc. makes it harder to mine useful information from them. For each tweet, we can get an explicit time stamp, the name of the user, the social network the user belongs to, or even the GPS coordinates if the tweet is created with a GPS-enabled mobile device. With these features, Twitter is, in nature, a good resource for detecting and analyzing the real time events happening around the world. By using the speed and coverage of Twitter, we can detect events, a sequence of important keywords being talked, in a timely manner which can be used in different applications like natural calamity relief support, earthquake relief support, product launches, suspicious activity detection etc. The keyword detection process from Twitter can be seen as a two step process: detection of keyword in the raw text form (words as posted by the users) and keyword normalization process (reforming the users’ unstructured words in the complete meaningful English language words). In this paper a keyword detection technique based upon the graph, spanning tree and Page Rank algorithm is proposed. A text normalization technique based upon hybrid approach using Levenshtein distance, demetaphone algorithm and dictionary mapping is proposed to work upon the unstructured keywords as produced by the proposed keyword detector. The proposed normalization technique is validated using the standard lexnorm 1.2 dataset. The proposed system is used to detect the keywords from Twiter text being posted at real time. The detected and normalized keywords are further validated from the search engine results at later time for detection of events.