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Prior institutional duality research asserts that ceremonial implementation of organisational practice protects multinational corporations’ subsidiaries. However, the temporal dynamics of the safeguarding function has been under researched. Public sector organisations have also been ignored. This research aims to explore how the safeguarding function is created, maintained and disrupted using the overseas offices (OOs) of a bilateral development agency (BDA) as a case.

A multi-case study, underpinned by neo-institutionalism, was conducted. Data obtained from in-depth remote interviews with 39 informants from the BDA OOs were analysed using the “asking small and large questions” technique, four analytical techniques, cross-case synthesis and theoretical propositions.

A three-phase process was identified. The first phase is the appearance of discrepancies due to institutional duality. The second is the emergence of ceremonial implementation as a solution. In the third phase, “the creation, maintenance and disruption of a safeguarding function” begins. When ceremonial implementation successfully protects the OOs, the safeguarding function is created. The OOs are likely to repeat ceremonial implementation, thus sustaining the function. Meanwhile, when conditions such as management staff change, ceremonial implementation may not take place, and the safeguarding function disappears.

The BDA OOs may not face strong host country regulative pressures because they are donors to aid-recipient countries. Hence, the findings may not directly apply to other public sector organisations.

Development cooperation practitioners should understand that ceremonial implementation is not exclusively harmful.

To the best of the author’s knowledge, this is the first institutional duality research that explores the temporal dynamics of safeguarding functions targeting public sector organisations.

Schizophrenia is a devastating illness with a chronic and relapsing course. While Western countries may endorse, biological and psychosocial causes more commonly than supernatural causes, non-western cultures like Nigeria in contrast, tend to endorse supernatural causes. Belief in supernatural causes has been reported to have consequences for treatment seeking behavior. This study aimed to examine the causes of schizophrenia reported by family members of outpatients with schizophrenia in a neuropsychiatric hospital in Midwestern Nigeria. In this study, we recruited a convenient sample of 200 consecutive caregivers of patients visiting the outpatient department of the Psychiatric Hospital, Benin City, Nigeria. These primary caregivers were unpaid relatives who provided support to patients. The patients were service users who fulfilled the diagnostic criteria of the International Classification of Disease [ICD-10; World Health Organization 1993] for schizophrenia and had been on treatment for at least two years. Majority (72.0%) of caregivers endorsed supernatural causes as most important in the etiology of schizophrenia, while 28.0% endorsed natural causes. Every participant without formal education endorsed supernatural attribution. In our study, it was evident that participants embraced multiple causal attributions for schizophrenia.

Using and understanding social media in the context of networked publics enhances crisis communication. This chapter describes models and ideas for integrating social media into the communication strategies of rescue organisations. The authors develop their recommendations for the use of social media by these organisations from both a summary and comparison of communication processes during the 2013 Central European floods in Austria, and from the perspective of an organisation actively using social media in the chosen model region of Alkoven. The chapter presents basic recommendations, recommendations inspired by content strategy and recommendations based on web and social media literacy in order to support the further development of crisis communication in the digital age.

Different age groups display different shopping patterns in terms of how and where consumers buy products. During times of crisis, such behavioural differences become even more striking yet remain under-researched with respect to elderly consumers. This paper investigates the impact of age on retail-related behavioural changes and behavioural stability of elderly shoppers (in comparison to younger consumers) during a crisis.

The authors surveyed 643 Austrian consumers to assess the impact of perceived threat on behavioural change and the moderating effect of age groups. Based on findings from this survey, they subsequently conducted 51 semi-structured interviews to understand the causes of behavioural change and behavioural stability during a crisis.

Elderly shoppers display more stable shopping behaviour during a crisis compared to younger consumers, which is influenced by perceived threat related to the crisis. Such findings indicate that elderly shoppers reinforce their learnt and embedded shopping patterns. The causes of change and stability in behaviour include environmental and inter-personal factors.

Through the lens of social cognitive theory, protection motivation theory and dual process theory, this research contributes to an improved understanding of changes in shopping behaviour of elderly consumers, its antecedents and consequences during a time of crisis. The authors reveal reasons that lead to behavioural stability, hence the absence of change, in terms of shopping during a crisis. They further outline implications for retailers that might wish to better respond to shopping behaviours of the elderly.

We set out to carry out a case-control evaluation of psychological distress and emotional pain among adult attendees of a Nigerian dental clinic. A total of 201 subjects, made up of 101 dental patients (test group) matched with age and sex with 100 normal subjects (controls), was recruited into the study. All participants completed a designed socio-demographic questionnaire. General Health Question naire and Psyche ache Assessment Schedule were also administered to assess psychological distress based on cut-off scores ?3 and emotional pain based on cut-off scores ?28 respectively. The mean ages of study and control group were 33 (±12) and 36 (±13) years respectively, and both study and control groups were not significantly different in all the assessed socio-demographic parameters. Overall, 21.8% (n=22) of the subjects had psychological distress, while only 7% of the control group had psychological distress. This difference was statistically significant (P=0.003). Similarly, there was significant difference in the experience of psyche ache (unbearable psychological pain) as over a third of the dental patients (37.6%, n=38) had emotional pain, while only 13% of the controls experienced psych ache (P<0.001). In this study, the burden of psychological distress and emotional pain was many-fold in dental patients when compared with the controls.

Blood donation knowledge of healthy young students is crucial to donate blood voluntarily and regularly in long-term. This study aimed to determine the influencing factors on the blood donation knowledge, to identify gaps of blood donation knowledge and reasons for not donating blood among university and college students in Yangon, Myanmar.

Cross-section survey (May 2019) was conducted in students of Yangon Technological University (YTU) and National Management Degree College (NMDC) with the use of quota and convenience sampling method. The questionnaires covered sociodemographic characteristics, blood donation knowledge and reasons for not donating blood.

Total 320 students (129 males and 191 females) with age of 18 to 23 years old participated. Previous blood donation had statistically significant influence on blood donation knowledge scores (ß = 0.396, p < 0.001). Gaps of knowledge between nondonors and blood donors were recorded, especially in universal recipient blood groups, Rh blood groups, blood donation interval, eligibility criteria, transfusion-transmitted infections (TTIs), amount of blood removed in donation, benefits of blood donations and misbelief of infections from blood donation. Top three reasons for not donating blood among nondonors were (1) no opportunity, (2) fear to donate and (3) still underage to donate.

Blood donations programs should extend awareness-raising programs in academic society and population at large. Raising awareness should focus on the knowledge gaps such as donor eligibility, interval of blood donations, TTIs and benefits of donating blood to recipients.

Critics say cryptocurrencies are hard to predict and lack both economic value and accounting standards, while supporters argue they are revolutionary financial technology and a new asset class. This study aims to help accounting and financial modelers compare cryptocurrencies with other asset classes (such as gold, stocks and bond markets) and develop cryptocurrency forecast models.

Daily data from 12/31/2013 to 08/01/2020 (including the COVID-19 pandemic period) for the top six cryptocurrencies that constitute 80% of the market are used. Cryptocurrency price, return and volatility are forecasted using five traditional econometric techniques: pooled ordinary least squares (OLS) regression, fixed-effect model (FEM), random-effect model (REM), panel vector error correction model (VECM) and generalized autoregressive conditional heteroskedasticity (GARCH). Fama and French's five-factor analysis, a frequently used method to study stock returns, is conducted on cryptocurrency returns in a panel-data setting. Finally, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to a portfolio makes a difference.

The seven findings in this analysis are summarized as follows: (1) VECM produces the best out-of-sample price forecast of cryptocurrency prices; (2) cryptocurrencies are unlike cash for accounting purposes as they are very volatile: the standard deviations of daily returns are several times larger than those of the other financial assets; (3) cryptocurrencies are not a substitute for gold as a safe-haven asset; (4) the five most significant determinants of cryptocurrency daily returns are emerging markets stock index, S&P 500 stock index, return on gold, volatility of daily returns and the volatility index (VIX); (5) their return volatility is persistent and can be forecasted using the GARCH model; (6) in a portfolio setting, cryptocurrencies exhibit negative alpha, high beta, similar to small and growth stocks and (7) a cryptocurrency portfolio offers more portfolio choices for investors and resembles a levered portfolio.

One of the tasks of the financial econometrics profession is building pro forma models that meet accounting standards and satisfy auditors. This paper undertook such activity by deploying traditional financial econometric methods and applying them to an emerging cryptocurrency asset class.

This paper attempts to contribute to the existing academic literature in three ways: Pro forma models for price forecasting: five established traditional econometric techniques (as opposed to novel methods) are deployed to forecast prices; Cryptocurrency as a group: instead of analyzing one currency at a time and running the risk of missing out on cross-sectional effects (as done by most other researchers), the top-six cryptocurrencies constitute 80% of the market, are analyzed together as a group using panel-data methods; Cryptocurrencies as financial assets in a portfolio: To understand the linkages between cryptocurrencies and traditional portfolio characteristics, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to an investment portfolio makes a difference.

Perhaps the most popular pricing model among Bitcoin enthusiasts is the stock-to-flow (S2F) model. The model gained significant traction after successfully predicting the meteoric rise of Bitcoin prices from late 2020 to early 2021. This paper dissects the S2F model for Bitcoin empirically to determine its viability and investigate whether investors can profit from an S2F-based trading strategy.

This paper, dissects the S2F model for Bitcoin by putting it through a battery of tests to examine its design, characteristics, robustness and appropriateness.

Overall, this paper finds the S2F model to be insensitive to differing assumptions in the early stages of the model, alleviating concerns about data mining. This paper produces a dynamic S2F model with no peek-ahead bias and shows evidence that prediction accuracy increases over time. Finally, this paper shows that a dynamic trading strategy that goes long (short) when Bitcoin is undervalued (overvalued) according to S2F is far less profitable than a classic buy-and-hold strategy.

To the best of the authors’ knowledge, this is the first paper to analyze the S2F model in an academic setting by providing a rigorous assessment of the model's construction. This paper demonstrates how the model can be implemented realistically without the peek-ahead bias, creating a tool that can be used contemporaneously by investors.