1.
Prasanna, B. R.; Nanthini, M.; Sivaranjani, P.; Prabhakaran, K.
Exploring textile industry landscapes Insights from diverse analysis Journal Article
In: Asian Textile Journal, vol. 33, pp. 25-29,, 2024, ISBN: 09713425 (ISSN), (0).
Tags: MBA
@article{4,
title = {Exploring textile industry landscapes Insights from diverse analysis},
author = {B. R. Prasanna and M. Nanthini and P. Sivaranjani and K. Prabhakaran},
isbn = {09713425 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Asian Textile Journal},
volume = {33},
pages = {25-29,},
publisher = {G P S Kwatra},
note = {0},
keywords = {MBA},
pubstate = {published},
tppubtype = {article}
}
2.
Harish, K. S.; Kotehal, P. U.; Sandesh, M. M.; Reddy, Y. M.; Roopa, K.; Lokesh, G. R.
Artificial Intelligence in Supply Chain Management: Trends and Implications Journal Article
In: Nanotechnology Perceptions, vol. 20, pp. 1113-1120,, 2024, ISBN: 16606795 (ISSN), (0).
@article{18,
title = {Artificial Intelligence in Supply Chain Management: Trends and Implications},
author = {K. S. Harish and P. U. Kotehal and M. M. Sandesh and Y. M. Reddy and K. Roopa and G. R. Lokesh},
doi = {10.62441/nano-ntp.v20iS7.91},
isbn = {16606795 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Nanotechnology Perceptions},
volume = {20},
pages = {1113-1120,},
publisher = {Collegium Basilea},
abstract = {Artificial Intelligence (AI) is revolutionizing supply chain management (SCM) by introducing advanced analytics, automation, and data-driven decision-making. This research paper explores the current trends in AI adoption within SCM, including the use of predictive analytics, machine learning, and autonomous systems to optimize logistics, inventory management, and demand forecasting. The study also examines the implications of these technologies on efficiency, cost reduction, and competitive advantage. While AI offers significant benefits, it also presents challenges such as data privacy concerns, the need for specialized skills, and potential disruptions to traditional supply chain roles. This paper aims to provide a comprehensive overview of AI's impact on SCM, offering insights into how businesses can strategically implement AI to enhance their supply chain operations while navigating the associated challenges. © 2024, Collegium Basilea. All rights reserved.},
note = {0},
keywords = {MBA},
pubstate = {published},
tppubtype = {article}
}
Artificial Intelligence (AI) is revolutionizing supply chain management (SCM) by introducing advanced analytics, automation, and data-driven decision-making. This research paper explores the current trends in AI adoption within SCM, including the use of predictive analytics, machine learning, and autonomous systems to optimize logistics, inventory management, and demand forecasting. The study also examines the implications of these technologies on efficiency, cost reduction, and competitive advantage. While AI offers significant benefits, it also presents challenges such as data privacy concerns, the need for specialized skills, and potential disruptions to traditional supply chain roles. This paper aims to provide a comprehensive overview of AI's impact on SCM, offering insights into how businesses can strategically implement AI to enhance their supply chain operations while navigating the associated challenges. © 2024, Collegium Basilea. All rights reserved.
3.
Dhanalakshmi, R. V.; Prasanna, B. R.; Tiwari, R.; Pavanathil, R. J.; Kumar, K. S.; Mathiyarasan, M.
In: vol. 536, pp. 421-430,, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 21984182 (ISSN), (0).
@inbook{50,
title = {Predictive Analytics in Retail: Revealing the Strategic Impact of Advertising Channels on Sales Performance Through Python and Linear Regression Model},
author = {R. V. Dhanalakshmi and B. R. Prasanna and R. Tiwari and R. J. Pavanathil and K. S. Kumar and M. Mathiyarasan},
doi = {10.1007/978-3-031-63402-4_35},
isbn = {21984182 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Studies in Systems, Decision and Control},
volume = {536},
pages = {421-430,},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This research paper presents a comprehensive sales prediction model tailored for the retail industry, specifically focusing on diverse products within this sector. Leveraging advanced machine learning techniques such as Linear Regression and Random Forest Regression, the model assesses the nuanced impact of various advertising channels, with a particular emphasis on television (including a few social media like YouTube advertisements and Mobile Applications like Disney + Hotstar, SunNxt, etc.), radio, and newspaper mediums. Notably, the findings emphasize the pivotal role of TV advertising in driving sales, offering strategic guidance for resource allocation and marketing strategies. This research contributes to the enhancement of decision-making processes within the retail industry, empowering stakeholders to optimize marketing approaches and navigate the dynamic landscape with confidence and precision. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
note = {0},
keywords = {MBA},
pubstate = {published},
tppubtype = {inbook}
}
This research paper presents a comprehensive sales prediction model tailored for the retail industry, specifically focusing on diverse products within this sector. Leveraging advanced machine learning techniques such as Linear Regression and Random Forest Regression, the model assesses the nuanced impact of various advertising channels, with a particular emphasis on television (including a few social media like YouTube advertisements and Mobile Applications like Disney + Hotstar, SunNxt, etc.), radio, and newspaper mediums. Notably, the findings emphasize the pivotal role of TV advertising in driving sales, offering strategic guidance for resource allocation and marketing strategies. This research contributes to the enhancement of decision-making processes within the retail industry, empowering stakeholders to optimize marketing approaches and navigate the dynamic landscape with confidence and precision. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
4.
Anuradha, A.; Shilpa, R.; Thirupathi, M.; Padmapriya, S.; Supramaniam, G.; Booshan, B.; Booshan, S.; Pol, N.; Chavadi, C. A.; Thangam, D.
Importance of Sustainable Marketing Initiatives for Supporting the Sustainable Development Goals Book Chapter
In: pp. 149-169,, IGI Global, 2023, ISBN: 978-166848683-2 (ISBN); 978-166848681-8 (ISBN), (2).
@inbook{24,
title = {Importance of Sustainable Marketing Initiatives for Supporting the Sustainable Development Goals},
author = {A. Anuradha and R. Shilpa and M. Thirupathi and S. Padmapriya and G. Supramaniam and B. Booshan and S. Booshan and N. Pol and C. A. Chavadi and D. Thangam},
doi = {10.4018/978-1-6684-8681-8.ch008},
isbn = {978-166848683-2 (ISBN); 978-166848681-8 (ISBN)},
year = {2023},
date = {2023-01-01},
journal = {Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing},
pages = {149-169,},
publisher = {IGI Global},
abstract = {Businesses that engage in sustainable marketing can benefit both the world and their bottom line. Earlier, companies could satisfy many customers by simply providing low pricing and high-quality goods. However, people’s concern for the environment and other social concerns have grown, and so has their desire to support groups that share their beliefs. Because they often generate strong market returns and demonstrate durability during economic downturns, many investors want to support businesses that use sustainable business methods. Also, these businesses are more likely to comply with social and environmental laws. Several companies use sustainable marketing to succeed in today’s ethical and ecologically sensitive marketplace. Organizations must finance sustainability programs in order to practice sustainable marketing. But, it can also improve employee engagement, promote regulatory compliance, raise revenues, and build brand loyalty. © 2023 by IGI Global.},
note = {2},
keywords = {MBA},
pubstate = {published},
tppubtype = {inbook}
}
Businesses that engage in sustainable marketing can benefit both the world and their bottom line. Earlier, companies could satisfy many customers by simply providing low pricing and high-quality goods. However, people’s concern for the environment and other social concerns have grown, and so has their desire to support groups that share their beliefs. Because they often generate strong market returns and demonstrate durability during economic downturns, many investors want to support businesses that use sustainable business methods. Also, these businesses are more likely to comply with social and environmental laws. Several companies use sustainable marketing to succeed in today’s ethical and ecologically sensitive marketplace. Organizations must finance sustainability programs in order to practice sustainable marketing. But, it can also improve employee engagement, promote regulatory compliance, raise revenues, and build brand loyalty. © 2023 by IGI Global.