sustainability in marketing practice: strategies for industry 4.0

Consumers prefer businesses that support sustainability. This volume delves into the nuts-and-bolts of sustainable marketing and the promotion of environmentally and socially responsible products, practices, and brand values, taking a deep dive into how to integrate sustainability into a marketing strategy and how to develop, broaden, and maintain a sustainable marketing strategy that appeals to the values of the general public.

The book contains three parts with the first section detailing sustainable consumer culture, examining consumer personality traits and purchasing behavior and how to influence those purchasing decisions and gain brand loyalty. The volume also reviews sustainable business strategy practices through various studies from the banking, fashion, hospitality and tourism, and other industries. The use of artificial intelligence and machine learning in sustainable marketing is also touched upon. The final part focuses on green marketing and details the new consumption patterns prevalent in the market today.

Subrata Chattopadhyay, PhD, MBA, is presently working as Professor, Business Administration Department, University of Engineering & Management, Kolkata, India. He is well versed in cutting-edge teaching techniques and has extensive industry connections. He has published more than 23 articles in more than 30 international journals and has presented his work at seminars and conferences. In addition, he has authored three books: Values and Ethics for Engineers and Managers, Transport Management, and Computations in Estate Management. As a life member of many professional organizations, he also provides mentorship and consulting services.

Udit Chawla, PhD, MBA, is presently working as Associate Professor, Business Administration Department, University of Engineering & Management, Kolkata, India. He is an accomplished Associate Professor with a track record of employment in the higher education sector. He has expertise in the programming languages R, SPSS, SAS, Python, etc. His areas of interest include business analytics, data science, machine learning, and artificial intelligence. He has published more than 30 articles in international conferences and contributed to more than 15 international journals.