BBA (Data Analytics) I Semester (R22)
Students will be able to
Meaning of ethics, Objectives of ethics, ethics and morality, moral standards, moral development, Business Ethics -Meaning, objectives, scope, arguments, code of ethics and principles, data Ethics and society. Introduction, fake news as in ‘Uncivilising Process’, information ethics to data ethics, data ethics to the ethics of digitization, ethical responses to data issues.
Meaning, relevance, foundation of Theories of Business Ethics, Teleological theories, Deontological Theories. Professional Ethics - meaning, difference between professional ethics and personal ethics, professional ethos, significance of professional ethics.
Introduction, ethical dilemma-conflict of interest, mutual Self - enrichment, pure self-interest, models of ethical decision making-utility, rights, justice and caring models (URJC Model), Janus-Headed Model/The DU Model/Whiteheadian Model, comprehensive decision making, Good ethical decisions, white collar crime.
Organisational culture, importance, types, cultural audit, reasons for unethical behaviour, ethical climate, ethical risk, leadership and ethics, group dimensions, ethics audit-benefits, tools and framework.
Global culture, values, practices, economic foundation of business ethics, multinational corporation, avoiding, forcing, persuasion or education, infiltration, negotiation or compromise, accommodation and collaboration.
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