Business Ethics Should Study Illicit Businesses: To Advance Respect for Human Rights

Byrne, Edmund F.

doi:10.1007/s10551-011-0885-y

Cited by 20 publications

(13 citation statements)

References 36 publications

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“…Byrne also believes that immoral business not only weakens and removes the competitors but also violates the rights of the customers. [ 39 ] Unhealthy competition is another example of immoral business. In a healthy competition, the owner of the business respects the interest of his counterpart exactly the same way as his own.…”

Section: Discussionmentioning

confidence: 99%

Iranian entrepreneur nurses' perceived barriers to entrepreneurship: A qualitative study

Jahani

Abedi

Elahi

et al. 2016

Iranian J Nursing Midwifery Res

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Background:To respond efficiently to the increasing and new needs of people in health issues, it is necessary for nurses to develop their knowledge from hospital to society and to be equipped to play entrepreneur role in different levels of care. The present study was conducted to describe Iranian entrepreneur nurses’ perceived barriers to entrepreneurship, in order to identify the existing barriers.Materials and Methods:This is a qualitative study in which Graneheim and Lundman's content analysis method was employed. Thirteen entrepreneur nurses were chosen purposively, and data were gathered by unstructured interviews.Results:As a result of the data analysis, five major themes were extracted: Traditional nursing structure, legal limitations, traditional attitudes of governmental managers, unprofessional behaviors of colleagues, and immoral business.Conclusions:The findings of the present study show that Iranian nurses are confronted with various problems and barriers to enter entrepreneur nursing and keep going in this area. By focusing on such barriers and applying appropriate changes, policymakers and planners in health can facilitate nurses entering into this activity.

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Section: Discussionmentioning

confidence: 99%

Iranian entrepreneur nurses' perceived barriers to entrepreneurship: A qualitative study

Jahani

Abedi

Elahi

et al. 2016

Iranian J Nursing Midwifery Res

View full text Add to dashboard Cite

show abstract

“…Debenhams, Walmart, M&S, Mango, and Benetton) are encouraged to re-structure their ethical responsibility roadmap to include supply chains and sourcing management practice to investigate the fire, safety, and working conditions, and to respect the human and labour rights of their suppliers (Ali et al 2000;Beekun and Badawi 2005;Byrne 2011;Sidani and Al Ariss 2015;Tlaiss 2015;Zinkin 2007). …”

Section: Implications For Business Practicementioning

confidence: 99%

Qur’anic Ethics for Environmental Responsibility: Implications for Business Practice

2016

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“…Money is a key motivator for those engaging in illegal activities ( Byrne, 2011 ). Human trafficking, for instance, generates an estimated U.S.$150.2 billion per year for criminal organisations, through activities such as forced labour, sexual exploitation and organ harvesting ( FATF, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective

Canhoto

2021

Journal of Business Research

109

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Financial services organisations facilitate the movement of money worldwide, and keep records of their clients’ identity and financial behaviour. As such, they have been enlisted by governments worldwide to assist with the detection and prevention of money laundering, which is a key tool in the fight to reduce crime and create sustainable economic development, corresponding to Goal 16 of the United Nations Sustainable Development Goals. In this paper, we investigate how the technical and contextual affordances of machine learning algorithms may enable these organisations to accomplish that task. We find that, due to the unavailability of high-quality, large training datasets regarding money laundering methods, there is limited scope for using supervised machine learning. Conversely, it is possible to use reinforced machine learning and, to an extent, unsupervised learning, although only to model unusual financial behaviour, not actual money laundering.

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Business Ethics Should Study Illicit Businesses: To Advance Respect for Human Rights

Abstract: illicit business, human rights, UNGC, corporate crime, organized crime, international law, corporate social responsibility,

Cited by 20 publications

References 36 publications

Iranian entrepreneur nurses' perceived barriers to entrepreneurship: A qualitative study

Iranian entrepreneur nurses' perceived barriers to entrepreneurship: A qualitative study

Qur’anic Ethics for Environmental Responsibility: Implications for Business Practice

Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective

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