Sustainable development and catalysts for inclusive start-up growth in corporate management: Using machine learning

Title

Sustainable development and catalysts for inclusive start-up growth in corporate management: Using machine learning

Creator

Radhika, P.; kumar, Jyothi

Description

This chapter explores the role of machine learning in enhancing corporate sustainability, governance, and performance, and its connection to social impacts. Incorporating machine learning algorithms into companies' processes can enhance resource utilization and reduce their environmental footprint. Combining machine learning algorithms can offer valuable insights into stakeholder engagement, such as customer preferences, employee satisfaction, and community expectations, enabling responsible decision-making and advancing social responsibility goals through responsible decision-making. In addition, machine learning in corporate governance has been used in monitoring compliance, detection of fraud, and enhancement of transparency. The technologies mentioned enhanced operations performance, fostered trust and accountability, and enhanced a firm's social image. The chapter presents case studies demonstrating how machine learning can foster socially responsible, sustainable, and performance-oriented businesses, emphasizing ethical considerations in data privacy. 2025, IGI Global Scientific Publishing. All rights reserved.

Source

Navigating Strategic Partnerships for Sustainable Startup Growth;pp.303-333

Date

01-01-2025

Publisher

IGI Global

Coverage

Radhika P., Christ University, India; kumar J., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-836934067-7; 979-836934066-0;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-4066-0.ch012

https://www.scopus.com/pages/publications/105000211863?origin=resultslist