Learn how ethical values, social responsibility, and personal well-being shape business success. This course explores CSR, inclusion, and AI-driven tools to promote fairness, wellness, and sustainability in modern leadership.
Overview
Life Influences in Business examines the interplay between societal, personal, and ethical factors (“life influences”) and business success, highlighting how businesses can thrive by aligning with human values, well-being, and broader social responsibilities. This module uniquely integrates topics like ethics, corporate social responsibility (CSR), personal development, and the impact of external social trends on businesses – all augmented by AI applications. Students will discuss how personal values and ethics shape leadership decisions, how businesses influence and are influenced by society and the environment, and why issues like diversity, inclusion, and employee well-being are strategic business concerns. Alongside these themes, the module demonstrates how AI can be a force for good in business: supporting ethical decision-making, monitoring and improving workplace culture and wellness, and driving sustainable business practices. The goal is to produce leaders who not only drive profits but also enhance the quality of work life and uphold responsibility to the community – using advanced tools to achieve these ends.
The Details
FOR SKILLSFUTURE CLAIMS
Registered Title: (Life Influences in Business
(Classroom & Asynchronous))
TPGateway Code:
total hours
47:00
Mode of Learning
On Campus
Curriculum
Course Duration
SSG Approved Training & Assessments Hours:47:00Trainer Facilitated Hours (On Campus/Virtual):32:00Self-Directed E-learning Hours:04:00Assessment Hours:11:00
Programme Objectives
Articulate the importance of business ethics and social responsibility, and apply ethical frameworks to resolve dilemmas in business scenarios.
Evaluate how personal life factors (e.g. values, health, work-life balance) and broader societal influences (demographic changes, cultural norms) affect employee performance, consumer behavior, and business strategies.
Implement strategies for corporate social responsibility (CSR) and sustainability in a business context, setting initiatives that align business goals with societal and environmental well-being.
Utilize AI tools to promote ethical practices and well-being in the workplace – for example, using AI to detect bias in recruitment, to monitor employee engagement and wellness, or to reduce a company’s environmental footprint knowmadmood.com.
Understand the ethical implications of AI in business (such as privacy, algorithmic bias, and job displacement) and manage AI deployments in a way that is transparent, fair, and inclusive.
Develop a plan for a business initiative that demonstrates balance between profitability and “people/planet” considerations (e.g. a sustainability project, a diversity and inclusion program, or an ethics policy rollout), incorporating AI solutions to enhance its effectiveness.
Course Topics
Business Ethics
Learning Outcome: Principles of ethical decision-making (utilitarianism, deontology, virtue ethics applied to business); establishing corporate codes of ethics; governance and anti-corruption practices. Discussion of real-world ethical cases (e.g. whistleblowing, fair labor practices) and how managers should respond.
Corporate Social Responsibility (CSR)
Learning Outcome: The role of businesses in society beyond profit – stakeholder theory, the triple bottom line (People, Planet, Profit); designing CSR programs (philanthropy, community engagement, sustainable operations) that create shared value.
Sustainability in Business
Learning Outcome: Environmental sustainability challenges (climate change, resource use) and opportunities (green innovation); how companies integrate sustainability into strategy and reporting (e.g. ESG metrics and sustainability reports). AI for sustainability: AI optimizing energy use, reducing waste, and forecasting environmental risks; use of IoT sensors with AI to create smart, eco-efficient operations.
Diversity, Equity, and Inclusion (DEI)
Learning Outcome: Understanding how diverse life experiences (culture, gender, etc.) within the workforce and customer base can influence business success; strategies for inclusive leadership and eliminating bias. AI and DEI: The risk of algorithmic bias in AI hiring tools (and methods to mitigate it), and AI tools that can help detect and counteract biasespwc.com (e.g. AI analysis of pay equity, or software that checks job descriptions for biased language).
Employee Well-Being and Work-Life Balance
Learning Outcome: How employee satisfaction and personal well-being impact productivity and retention; management approaches to promote work-life balance, mental health, and a positive workplace culture. AI in HR and wellness: e.g. wearable AI-driven health trackers monitoring employee stress (voluntarily), AI chatbots for mental health support, or sentiment analysis on employee surveys to gauge morale.
AI Ethics and Responsible AI
Learning Outcome: Delving into the ethical considerations of artificial intelligence in business – privacy concerns with AI data use, the importance of data security, understanding algorithmic bias (AI producing unfair/discriminatory outcomes), and frameworks for Responsible AI (transparency, accountability, human-in-the-loop decision making). Students learn guidelines to ensure any AI application is used ethically and in compliance with laws and human rights.
Impact of Societal Trends
Learning Outcome: Examination of how major external “life” influences like technological change, pandemics, urbanization, or generational value shifts alter consumer expectations and business priorities (for example, increased focus on remote work and flexibility, or consumer demand for ethical brands). How businesses can adapt strategies to these evolving societal expectations, often with the help of AI analytics to spot these trends.
