Business zakat compliance in Algeria: an ethical perspective

Purpose This research aims to investigate the influence of political instability, trust and knowledge on the zakat compliance behaviour of Algerian business owners. Based on the lenses of the ethical theory mainly and by reference to Zakat Core Principles (that originally inspired from the Basel Core Principles), the paper aims to provide an understanding of how these factors affect zakat compliance in the Algerian context from an ethical perspective. Design/methodology/approach A cross-sectional research design was applied. Using self-administered questionnaires, a total of 575 business owners in Algeria participated in this study. The hypothesised model was tested by using the partial least squares structural equation model. Findings The study results support that the ethical approach can explain zakat compliance among Algerian business owners. Specifically, the results revealed that political instability, zakat knowledge and trust significantly influence zakat compliance. Practical implications The results offer meaningful insights for the zakat institutions in Muslim societies to enable them to formulate zakat collection policies, assess the level of societal trust in the zakat authority, evaluate the influence of political instability on Muslim entrepreneurs’ zakat compliance and strengthen the entrepreneurs’ zakat knowledge on the exigency of paying zakat to the authority. Originality/value This study breaks new ground by exploring the effects of political instability, zakat knowledge and trust on zakat payers’ compliance ethical decisions in developing countries such as Algeria. More significantly, this research contributes to the existing literature of the ethical theory specifically by investigating the effect of political instability on zakat compliance among Algerian business owners.

Challenges of hospital ethics committees: a phenomenological study

Medical ethics committees play an important role in examining and resolving ethical problems in hospitals by developing ethical guidelines and making ethical decisions. This study aimed at investigating the challenges that these committees typically face. This qualitative phenomenological study was conducted in 2020. Data was collected through semi-structured interviews with purposive sampling and participation of 19 ethics committees’ members in Tehran hospitals. Then, data were analyzed by the content analysis method using MAXQDA-10 software. Challenges of hospital ethics committees were classified into three main themes including external factors, intra-organizational factors, and ethics committee structure, in addition to six sub-themes including inadequate supervision, lack of instructions, organizational culture, human resources, nature of the committee, and ineffectiveness of committees’ decisions. Since many challenges are faced by ethics committees, plans should be developed and implemented to fulfill the following purposes: (i) strengthen the position of these committees in hospitals, (ii) continuous supervision over the formation and holding of the committees, (iii) their operation process, (iv) their decision-making process, and (v) process of sharing committees’ decisions with all hospital stakeholders and staff.

Digital Ethics as Translational Ethics

There are growing calls for more digital ethics, largely in response to the many problems that have occurred with digital technologies. However, there has been less clarity about exactly what this might mean. This chapter argues first that ethical decisions and considerations are ubiquitous within the creation of digital technology. Ethical analyses cannot be treated as a secondary or optional aspect of technology creation. This argument does not specify the content of digital ethics, though, and so further research is needed. This chapter then argues that this research must take the form of translational ethics: a robust, multi-disciplinary effort to translate the abstract results of ethical research into practical guidance for technology creators. Examples are provided of this kind of translation from principles to different types of practices.

Medical students positions regarding resource allocation in times of crisis

Objective To compare the perspectives of medical students in the preclinical and clinical phases of medical training on the issue of rationing scarce medical resources in times of crisis. Methods Questionnaire-based cross-sectional study. Results A total of 201 participants took part in the study, with 100 participants in the preclinical phase group, and 101 in the clinical phase group. A multivariable analysis found that just 14.9% (n = 34) of the clinical phase students were willing to give a short-supplied blood unit to the first-arrived patient to the emergency department when more patients are expected compared to 63.9% in the preclinical group (n = 62) ( p < 0.001, OR = 0.75 95% CI: 0.029−0.192). Seventy-four percent (n = 74) of the clinical phase students were found to be willing to remove a patient from a respirator to allocate it to an ill child compared to 35.7% (n = 35) in the preclinical phase group ( p < 0.001, OR = 4.168 95% CI: 1.931−8.998). Of the clinical phase group, 46.6% (n = 41) were willing to allocate a short supplied flu medicine to a patient with poor prognosis compared to 57.7% (n = 56) in the preclinical phase group ( p = 0.04, OR = 0.457 95% CI: 0.216−0.966). Conclusion Clinical exposure during training may affect the way medical students make ethical decisions, independent of age, sex, as well as marital and parental status.

T he E ffect of Organizational Ethical Culture as A Moderating Variable in Ethical Decision Making o n Tax Consultants

This study aims to analyze the effect of experience on ethical decisions and the influence of organizational ethical culture in moderating the relationship between experience and ethical decisions in tax consultants in the Sumatran Region including Lampung, Bangka Belitung, Palembang and Jambi consisting of 139 respondents. The analysis technique uses SEM WarpPLS with the help of the WarpPLS 7.0 application. The findings in this study, indicate that there is no significant effect between experience and ethical decisions and in an indirect relationship between experience and ethical decisions with organizational ethical culture as a moderating variable showing the results, organizational ethical culture can moderate the relationship with a significant influence. The research has met the requirements of the SEM-WarpPLS fit model.

Being torn by inevitable moral dilemma: experiences of ICU nurses

Background Ethical decision-making of nurses could affect patients’ recovery and also decrease medical costs. To make ethical decisions, ICU nurses experience complicated ethical conflicts. Considering the multi-dimensional process of ethical decision-making, the present study was conducted to describe the experiences of ICU nurses regarding ethical decision making. Method The present research is a qualitative study with conventional content analysis approach that was done in 2020. Fourteen ICU nurses were interviewed using a semi-structured in-depth interview method. The interviews were recorded, transcribed verbatim, and analyzed using Granheim and Landman approach. Results Being torn by inevitable moral dilemma was defined as the main category which contained the categories of conflict with professional self, feeling squeezed between self-authority and demands of others, and Surrounded by organizational limitations. Conclusions Results of the present study showed that moral dilemma is a situation in which the nurses are forced to choose between two options based on their equipment and facilities. In these situations, the nurses would hesitate between their internal conflicts and confusion between choosing their own benefits and patients’ benefits. To prevent ethical challenges in decision making, it is necessary to educate healthcare team about ethical dilemmas and empower the personnel for encountering ethical challenges.

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine

Today Artificial Intelligence (AI) supports difficult decisions about policy, health, and our personal lives. The AI algorithms we develop and deploy to make sense of information, are informed by data, and based on models that capture and use pertinent details of the population or phenomenon being analyzed. For any application area, more importantly in precision medicine which directly impacts human lives, the data upon which algorithms are run must be procured, cleaned, and organized well to assure reliable and interpretable results, and to assure that they do not perpetrate or amplify human prejudices. This must be done without violating basic assumptions of the algorithms in use. Algorithmic results need to be clearly communicated to stakeholders and domain experts to enable sound conclusions. Our position is that AI holds great promise for supporting precision medicine, but we need to move forward with great care, with consideration for possible ethical implications. We make the case that a no-boundary or convergent approach is essential to support sound and ethical decisions. No-boundary thinking supports problem definition and solving with teams of experts possessing diverse perspectives. When dealing with AI and the data needed to use AI, there is a spectrum of activities that needs the attention of a no-boundary team. This is necessary if we are to draw viable conclusions and develop actions and policies based on the AI, the data, and the scientific foundations of the domain in question.