Ramya, P. and Dhanashree, G. S. (2025) Data analytics of green marketing strategies in the financial performance of selected automobile industries of Chennai. In: INTERNATIONAL CONFERENCE ON MODELLING STRATEGIES IN MATHEMATICS: ICMSM 2024, 22–23 October 2024, Coimbatore, India.
Full text not available from this repository. (Request a copy)Abstract
Despite the fact that a variety of environmental challenges have an impact on human activities on a daily basis, academic disciplines have not done much to include green themes into their literature. The emergence of periodicals like "Business Strategy and the Environment" and "Greener Management International," which are dedicated to sharing research on the environmental behavior of businesses, is indicative of this. The lack of academic research on environmental or green marketing is one of the main issues facing the field of green marketing. There is literature, but it is written from several angles. There are many distinct and varied definitions of marketing available, however they all generally center on the customer: "The delivery of profit along with customer satisfaction is marketing." A Likert scale of five points (interval) with two possible outcomes: "deeply disapprove" and "completely concur"" and "strongly agree" was used to collect the responses. This section included four questions about customers’ intents to purchase green products, three statements about their attitude toward the environment (which acted as a moderator), and fourteen statements for the four elements of the green marketing mix techniques’ performance ratings. Only those who were between the ages of 24 and 40 were therefore invited to reply. International businesses hoping to profit from this massive market are showing interest in India as it has been the worldwide leader in the millennial market over the last several years.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Commerce > Finance |
Domains: | Commerce |
Depositing User: | Mr IR Admin |
Date Deposited: | 20 Aug 2025 10:16 |
Last Modified: | 20 Aug 2025 10:16 |
URI: | https://ir.vistas.ac.in/id/eprint/10126 |