Items where Author is "Sunantha, P"

Article

Manikandan, V and Sunantha, P (2026) A Study on Consumer Purchase Intention Towards Diary Food Products With Reference to Chennai City. MSW MANAGEMENT -Multidisciplinary, Scientific Work and Management Journal, 36 (2): 1. pp. 1641-1642. ISSN 1053-7899

Sunantha, P and Chandran, M (2022) study on customer satisfaction towards digital marketing. International journal of health sciences. pp. 9943-9949. ISSN 2550-6978

Sunantha, P and Chandran, M (2022) AN EVOLUTION OF MOBILE COMMERCE – A THEORETICAL APPROACH. Journal of the Oriental Institute, 71 (1). pp. 74-77. ISSN 0030-5324

Sunantha, P and Chandran, M (2020) Impact of social media-a study with reference to children, adolescent and youth in chennai. International Journals of Advanced Science and Technology, 29 (8s). pp. 2140-2144.

Sunantha, P and Chandran, M (2020) A STUDY ON SOCIAL MEDIA IN HIGHER EDUCATION : A DIGITAL REVOLUTION. Journal of Interdisciplinary Cycle Research, XII (II). pp. 418-421. ISSN 0022-1945

Sunantha, P and Chandran, M (2019) FACTORS INFLUENCING THE CUSTOMER EXPERIENCE IN DIGITAL BANKING AND FINANCIAL PERFORMANCE. ADALYA JOURNAL, 8 (10). pp. 322-323.

Conference or Workshop Item

Senthil, M and Meenakshi, A and Vennilaa Shree, S and Sunantha, P (2026) A STUDY ON CUSTOMER PERCEPTION TOWARDS USE OF BATA SHOES AMONG COLLEGE STUDENTS IN CHENNAI CITY. In: International Conference on Scientific Research and Revolution ICSRR 2026.

Shailaja, B and Sunantha, P (2025) CUSTOMER RETENTION STRATEGIES FOR ECO-FRIENDLY AND AGRO BASED PRODUCTS IN E-COMMERCE IN REFERENCE TO BENGALURU. In: Indian Economic Association 108th Conference.

Manikandan, V and Sunantha, P (2025) A STUDY ON CONSUMER PERCEPTION TOWARDS DIET FOOD PRACTICES WITH REFERENCE TO CHENNAI CITY. In: Indian Economic Association 108th Conference.

Uma Maheshwari, S and Sunantha, P (2025) THE RISE OF APP BASED SHOPPING : INSIGHTS INTO YOUUNG CONSUMERS AND DIGITAL DISRUPTION IN CHENNAI'S TEXTILE INDUSTRY. In: Indian Economic Association 108th Conference.

Patent

UNSPECIFIED1 (2026) A NOVEL MACHINE LEARNING APPROACH FOR EFFECTIVE STOCK MARKET TREND FORECASTING. 202641021636 A.