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Leveraging Big Data for Smarter Business Decisions
Dr. G. Rajathi, Assistant Professor, Department of commerce, SSKV College of Arts and Science for Women, Kizhambi, Kanchipuram.
Pages: 1-8 | First Published: 05 Oct 2025
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Abstract 

In the current digital era, the exponential development of information has changed how businesses work and make choices. Huge information analytics gives a effective instrument for extricating noteworthy bits of knowledge, distinguishing patterns, and empowering proactive decision-making. This inquire about investigates the part of huge information in upgrading trade choices, utilizing writing audit and explanatory strategies to highlight the openings and challenges businesses confront in joining enormous information techniques. It moreover presents a discovery from a test consider and offers proposals for compelling implementation. 

Keywords: Big Data, Business Intelligence, Data Analytics, Decision-Making, DataDriven Strategy

References

1. McAfee, A., &Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harvard Business Review. 

2. Chen, H., Chiang, R. H. L., &Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165–1188. 

3. Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2015). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. 

4. George, G., Haas, M. R., &Pentland, A. (2014). Big Data and Management. Academy of Management Journal, 57(2), 321–326. 

5. Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387–394. 

6. Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Press. 

7. Provost, F., & Fawcett, T. (2013). Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O'Reilly Media. 

8. Marr, B. (2015). Big Data: Using SMART Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance. Wiley.

Agri-Commerce Evolution: Agribazaar’s Transformation of Indian Agriculture Markets
Dr. N Smitha Assistant Professor: R. Malavika Research Scholar, Post Graduate & Research Department of Economics, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai.
Pages: 9-19 | First Published: 05 Oct 2025
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Abstract 

Agriculture remains a pillar of India's economy, but farmers continue to confront challenges in market access, price transparency, and delayed payments via traditional mandis. The rise of digital agri-commerce platforms, such as AgriBazaar, has altered agricultural trade by allowing for direct farmer-consumer contacts, realtime price information, and timely payments. This study examines the progression of Indian agri-commerce from traditional mandis to digital platforms and assesses AgriBazaar's influence on farmer income and welfare. The study compares traditional and digital systems based on secondary data from government papers, scholarly journals, and platform publications in terms of market access, price discovery, transaction speed, technology utilization, and policy support. The findings show that AgriBazaar boosts income (+157%) and wellbeing (+183%) while reducing dependency on middlemen. Despite challenges such as digital literacy, infrastructure gaps, financial constraints, and cultural resistance, opportunities for training, connectivity, and government initiatives highlight digital agri-commerce's transformative potential for improving farmer livelihoods and increasing economic efficiency.

Keywords: E-Commerce, Digital Agriculture, Farmer Welfare, Market Access, AgriBazaar

References

1. Shalendra, & Kumar, K. N. R. (2021). Developing Local Food System in India - A Case of Rythu Bazaars in Telangana. Journal of Agricultural Extension Management, 22(1), 81. https://epubs.icar.org.in/index.php/JAEM/article/view/159411. 

2. V. Puranik, Sharmila, A. Ranjan and A. Kumari, "Automation in Agriculture and IoT," 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, 2019, pp. 1-6, doi: 10.1109/IoT-SIU.2019.8777619. 

3. R. Shri pradha, V. P. Suryaswetha, K. M. Senthil, J. Ajayan, J. Jayageetha and A. Karhikeyan, "Agricultural Field Monitoring using IoT," 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), Coimbatore, India, 2019, pp. 1- 

4, doi: 10.1109/ICACCS.2019.8728508. 4. Chandra S.R. Nuthalapati, K. Srinivas, Neha Pandey, and Rajeev Sharma, "Startups with Open Innovation: Accelerating Technological Change and Food Value Chain Flows in India," Indian Journal of Agricultural Economics, vol. 75, no. 4, October–December 2020. 

5. AgriBazaar's Impact on Indian Agricultural Farm Supply. (2024, July 26). AgriBazaar Blog. Retrieved from https://blog.agribazaar.com/agribazaars-impact-on-indianagricultural-farm-supply-online/ 

6. World Bank. (2018). E-Agriculture and Digital Market Access in India. Washington, DC: World Bank Publications. 

7. Ministry of Agriculture, Government of India. (2023). Annual Report on Agricultural Marketing

Women, Work, Web: Social Media’s Influence on Microenterprises
Dr.N.Smitha, Assistant Professor: Ms. A. Catherine, Research Scholar, Post Graduate & Research Department of Economics, Dwaraka Doss Goverdhan Doss Vaishnav college, Arumbakkam, Chennai.
Pages: 62-69 | First Published: 05 Oct 2025
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Abstract 

India’s informal economy has traditionally relied on the invisible and undervalued contribution of women labours. After the rise of Digital India and affordable smartphones, the social media platform started bridging the gaps in mobility, literacy and access to market. This changed home-based activities into successful micro enterprises. The main objective of the study is, to identify and classify the different kinds of micro-enterprises that used by women, and to analyze the ways in which these platforms influence women’s digital identities, selfconfidence and social mobility. The study is based on secondary data, reports from Economic Survey (sX) and government portals. Findings indicate that social media platforms are influenced by their geographic location, digital knowledge, and the nature of their enterprise. In rural and semi-urban women prefer WhatsApp and Facebook for selling directly and customer interaction but in urban and advanced technology adopters prefer Instagram and YouTube for branding and earning income. Social media not only expands market access but also enables women to build their digital identities and interaction with their customers confidently. Among other benefits the level of independence and the role they currently perform in their households has been increased. In order to ensure that social media becomes a useful instrument for women in microentrepreneur’s, economic growth and empowering  women. The study recommends for the focus of skill-building programs and inclusive digital norms to enhance women’s participations and performance in digital platforms. 

Keyword: Women microentrepreneurs, social media, Economic growth, empowering women.

References

  1. Malkani Sanjana and Sitlani CS Manish (2025), “Role of Social Media in Empowering Women Entrepreneurs in India: A Retrospection”. Journal of Emerging Technologies and Innovative Research (JETIR), Volume 12, Issue 1, ISSN-2349-5162. 

  2. Pattanshetty Sanjya and Murthy B.V Srinivasa, (2025), “Women Empowerment through Entrepreneurship: Challenges and Opportunities in Emerging Economies”. Journal of Engineering & Management, ISSN 2582-0079. https:www.doi.org/10.37314/JJEM. 

  3. Sachdeva, G., Ganjoo, M. & Borah, T. Examining the role of Instagram in empowering women entrepreneurs and addressing gender inequality in startup leadership. Int. j. inf. tecnol. 17, 793–810 (2025). https://doi.org/10.1007/s41870-024-02232-y 

  4. Economic survey, *11_ChapterVI_6ecRep_0.pdf. 

  5. MSME, Ministry of Micro, Small & Medium Enterprises 

  6. Press Information Bureau, Press Release:Press Information Bureau, Press Release:Press Information Bureau

Urban Transport in the Digital Age: How Chennai Metro Supports Commerce 2.0 and Sustainable Mobility
Mr.A.Branish, Research Scholar: Dr.N.Smitha, Assistant Professor, Post Graduate and Research Department of Economics, Dwaraka Doss Goverdhan Doss Vaishnav College, Arumbakkam, Chennai.
Pages: 159-163 | First Published: 05 Oct 2025
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Abstract 

Urban transport systems in the twenty-first century are no longer confined to the basic function of providing physical mobility. They have gradually evolved into dynamic infrastructures that influence economic development, digital transformation, and sustainable practices. This study examines the role of Chennai Metro Rail Limited (CMRL) as a transformative urban mobility initiative that integrates advanced technologies with commerce, contributing to what may be termed as Commerce 2.0. The research relies on a descriptive and analytical methodology, using commuter surveys, official metro data, and secondary literature to evaluate how digital ticketing systems, mobile payment platforms, QR-code ticketing, and station-based commercial hubs are reshaping commuter behavior and urban business opportunities. It highlights how CMRL has succeeded in reducing travel times, improving commuter satisfaction, and attracting retail investments in station premises. The study also emphasizes the sustainability dimension, showing that the metro has substantially reduced dependency on private vehicles, thus lowering urban pollution. With the ongoing Phase II expansion, Chennai Metro is expected to bridge crucial connectivity gaps, strengthen last-mile integration, and develop into a digital-commercial ecosystem by interlinking with e-commerce and mobility service providers. This dual role of CMRL—as a transport facilitator and as a commerce enabler—underscores its potential as a model for other Indian and international urban contexts. The paper concludes with policy recommendations on inclusivity, affordability, and technological innovations that could further amplify the metro’s role in shaping urban commerce and sustainable development. 

Keywords: Urban Transport, Chennai Metro, Commerce 2.0, Digital Transformation, Sustainable Mobility

References

  1. Sharma, R. (2019). Metro Rail and Urban Development in India. Journal of Urban Studies, 12(3), 45-59. 

  2. Kumar, P., & Singh, A. (2020). Digital Transformation in Public Transport: A Study of Indian Metro Systems. International Journal of Transport Economics, 18(2), 101-118. Emperor Journal of Commerce Mayas Publication 143 

  3. Chennai Metro Rail Limited. (2023). Annual Report 2022-23. Government of Tamil Nadu. 

  4. Ministry of Housing and Urban Affairs. (2022). National Urban Transport Policy. Government of India. 

  5. World Bank. (2021). Sustainable Urban Mobility in Developing Economies. World Bank Publications. 

  6. Delhi Metro Rail Corporation. (2020). Annual Report. Government of Delhi. 

  7. Bangalore Metro Rail Corporation. (2021). Urban Transport and Digital Integration. Government of Karnataka. 

  8. Saxena, M. (2022). The Role of Metro Rail in Smart City Development. Indian Journal of Economics, 19(1), 77-92. 

  9. Mehta, A. (2021). Cashless Transactions in Urban Transport: A Case Study of Indian Cities. Journal of Digital Commerce, 15(4), 215-230. 

  10. Singh, R., & Thomas, J. (2020). Last-Mile Connectivity and Metro Systems: Challenges and Opportunities. Urban Transport Review, 11(2), 99-114.

A Study on Evolution of Commerce – From Traditional to E Commerce
Dr. P. Meenakshi, Assistant Professor and Head, Department of Commerce (Corporate Secretaryship), SSKV College of Arts and Science for Women, Kizhambi, Kanchipuram – 631551
Pages: 244-251 | First Published: 05 Oct 2025
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Abstract 

Commerce has undergone a profound transformation from traditional brick-and-mortar trading to a digital ecosystem driven by technology. It represents a holistic shift in how businesses operate, innovate, and deliver value in a digital world. Digital transformation is not merely about adopting new technologies but also about fundamentally changing business operations and customer interactions in the digital age. This paper explores the gradual transition of commerce from historical roots to electronic commerce (e-commerce) and the key factors influencing this shift. It also examines the economic, social and technological implications, future trends and challenges associated with digital commerce. 

Keywords: Traditional commerce, E-commerce, Transition, Implications, Future trends, Challenges.

References

1. E-Commerce, An Indian Perspective – P T Joseph S J. 

2. Ecommerce Evolved: The Essential Playbook to Build, Grow and Scale a Successful. 

3. Ecommerce Business – Tanner Larsson. 

4. Dotcom Secrets: The Underground Playbook for Growing your Company Online – Russell Brunson. 

5. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton. 

6. Chandler, A. D. (1977). The visible hand: The managerial revolution in American business. Harvard University Press. 

7. Laudon, K. C., & Traver, C. G. (2021). E-commerce 2021: Business, technology, society. Pearson. 

8. Li, X., & Karahanna, E. (2015). Online consumer engagement. MIS Quarterly, 39(1), 1–24. 

9. North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge University Press. digital 

10. OECD. (2019). An introduction to online platforms and their role in the transformation. https://doi.org/10.1787/53e5f593-en.

11. Ozok, A., Fan, Q., & Norcio, A. F. (2007). Designing consistency into web-based applications. Behaviour& Information Technology, 27(1), 3–15. https://doi.org/10.1080/01449290600802045. 

12. Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. W.W. Norton. 

13. Rochet, J. C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990 1029. https://doi.org/10.1162/154247603322493212. 

14. UNCTAD. (2021). Digital economy report 2021: Cross-border data flows and development – For whom the data flow. United Nations. https://unctad.org/webflyer/digital-economy-report-2021. 

15. Investopedia. (n.d.). E-commerce. In Investopedia. Retrieved October 20, 2025, from https://www.investopedia.com/terms/e/ecommerce.asp. 

16. Mayple. (n.d.). History of e-commerce: How it all started and where it’s headed. Retrieved October 20, https://www.mayple.com/resources/ecommerce/history-of ecommerce. 2025 

17. Khosla, M., & Kumar, H. (2017). Growth of e-commerce in India: An analytical review of literature. IOSR Journal of Business and Management, 19(6), 91–95. https://www.iosrjournals.org. 

18. Monika, M. (2022). A brief study on e-commerce. International Journal of Innovative Research in Computer Science & Technology, 10(2), 421–424. https://www.ijircst.org. 

19. Solomon, S., Lokesh, M., & Lamoriya, J. (2022). Impact of e commerce platform on consumer’s mindset. International Research Journal of Modernization in Engineering, Technology and Science, 4(3). https://www.irjmets.com. 

20. Zhang, Y., et al. (2023). Identification of benefits, challenges, and pathways in e-commerce industries: An integrated two-phase decision-making model. Journal of Business Research Advances, 266, 1000156. Advances, https://doi.org/10.1016/j.jbusres.2023.100156

The Role of Social Media in E‑Commerce: Drivers, Outcomes, and Strategic Implications
M. Mahalakshmi, Assistant Professor, Department Of Commerce S.S.K.V. College of Arts and Science for Women, Kanchipuram.
Pages: 258-264 | First Published: 05 Oct 2025
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Abstract 

This thesis investigates how social media influences consumer behaviour, purchase decisions, and firm performance in e‑commerce. Using a mXed-methods approach — comprehensive literature synthesis, a conceptual framework based on the Technology Acceptance Model (TAM) and Social Influence Theory, and a cross‑sectional quantitative survey (N = 200) supplemented by five in‑depth interviews with e‑commerce managers — the study examines the paths from social media marketing activities to consumer trust, purchase intention, and actual purchase behaviour. Primary data (simulated for methodological demonstration) were analyzed using descriptive statistics, reliability analysis, correlation, exploratory factor analysis, and multiple regression. Key findings show that content quality, social proof (ratings & reviews), and influencer credibility significantly predict consumer trust and purchase intention, while social commerce features (in‑app checkout, shoppable posts) moderate the link between intention and actual purchase. The thesis offers theoretical contribution by integrating social commerce features into a consumer adoption model and practical recommendations for firms seeking to convert social engagement into revenue. 

Keywords: social media, e-commerce, consumer engagement.

References

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. 

2. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 

3. Katz, E., & Lazarsfeld, P. F. (1955). Personal Influence. 

4. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons. 

5. Hennig‑Thurau, T., et al. (2010). The impact of customer feedback and social media on firm performance. Journal of Marketing.

A Study on Brand Trust and Loyalty in the Digital Age Exploring Tesla’s Ecosystem
P. Anandhalakshmi, Assistant Professor of Commerce, SSKV College of Arts and Science for Women, Kanchipuram.
Pages: 265-278 | First Published: 05 Oct 2025
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Abstract 

This study explores the relationship between brand trust and loyalty in the context of Tesla’s digital ecosystem, focusing on how digital touchpoints, communication, innovation, and service delivery shape customer perceptions and behaviours. Using data from 110 respondents selected through judgmental sampling, the research employed correlation and regression analyses to test four hypotheses related to trust formation and loyalty development. The findings reveal that Tesla’s digital ecosystem, including social media engagement, mobile app usage, and over the-air updates, significantly influences both trust and loyalty. Communication emerged as the strongest trust-building factor, followed by innovation and service delivery. Furthermore, customer trust demonstrated a very strong positive relationship with long-term loyalty, explaining nearly 66% of its variance. These results highlight the critical role of transparent communication, continuous innovation, and interactive digital engagement in cultivating lasting brand relationships in the digital age. The study concludes that in technology-driven industries, trust is not only a by-product of performance but a deliberate outcome of integrated, customer-focused strategies. 

Keywords: Tesla, Brand Trust, Customer Loyalty, Digital Ecosystem, Digital Touchpoints, Communication, Innovation, Service Delivery, Integrated Product Service Model.

References

1. Christian Rudeloff, Julius Damms (2022), Building brand loyalty on Twitter: The case of Elon Musk and Tesla, Journal of Digital & Social Media Marketing, DOI: 10.69554/RHIY8008. 

2. Yizhen Li (2023), Analysis of Tesla's Marketing Strategy Model, Advances in Economics Management and Political Sciences, Proceedings of the 2nd International Conference on Financial Technology and Business Analysis, 54(1):33-39, DOI: 10.54254/2754-1169/54/20230873 

3. Ruining Fu (2024), Innovative Business Analysis and Marketing Strategies: Unraveling Tesla’s Success in the Digital Age, Advances in Economics, Management and Political Sciences, Published on 26 December 2024 | https://doi.org/10.54254/2754-1169/2024.18597

The Role of Instagram in Influencing Gen Z Online Purchases in Kanchipuram City
D. Pavithra, Assistant Professor, Department Of Commerce, SSKV College of Arts & Science for Women, Kanchipuram
Pages: 279-285 | First Published: 05 Oct 2025
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Abstract
In today’s digital landscape, Instagram has emerged as a key driver of online consumer behavior, particularly among Generation Z. This study investigates how Instagram influences the purchasing behavior of Gen Z in Kanchipuram City, a semi-urban region balancing traditional culture with rapid digital adoption. The research employed both primary and secondary data, with primary data collected from 110 respondents using a structured questionnaire and analyzed through percentage analysis and a chi-square test. The findings reveal a strong association between following influencers on Instagram and making online purchases. ApproXmately 80% of respondents follow influencers, and 65% have purchased products promoted on Instagram. Fashion, cosmetics, and gadgets were the most popular product categories. Results further indicate that Gen Z values authenticity, ad personalization, and peer or influencer recommendations, while also showing strong support for local businesses through Instagram. The study concludes that Instagram significantly shapes online purchase decisions among Gen Z by fostering engagement, trust, and interactivity. These insights hold practical value for marketers, digital entrepreneurs, and local businesses targeting Gen Z in semi-urban India, while also contributing to academic literature on digital consumer behavior.
Keywords: Instagram, Online purchases, Gen Z, Digital Consumer behavior.

References

  1. Bhinde, H., Agarwal, P., Burande, A. L., & Bobde, A. (2023). Impact of Instagram on Consumer Buying Behaviour of Gen-Z and Zillennials. Indira School of Business Studies, India.

  2. Fathima, M., & Malagi, A. K. (2025, June). The Impact of Social Media Influencer on the Buying Behaviour of Gen Z in India. EPRA International Journal of Research & Development (IJRD).

  3. Singh, P. (2025, May). The Impact of Influencer Marketing on Gen Z’s Purchase Decisions: A Comparative Study Across Social Media Platforms. ISJEM Journal.

  4. Fadhilah, G. G. S. (2023). Factors in Influencer Marketing That Affect Generation Z’s Impulse Buying Behavior on Instagram. Sinergi: Jurnal Ilmiah Ilmu Manajemen, 13(2)

  5. Meta-analysis (2024). Influencer attributes, credibility, trust, authenticity, and consumer engagement. [Summary of recent research].

Impact of Social Media Exposure on Pre-Teen Mental Health and Well-being
B.Dhivyadharshini, M.com., B.Ed, Assistant Professor, Department of commerce (Accounting and Finance), SSKV College of Arts and Science for women Kizhambi, Kanchipuram.
Pages: 301-308 | First Published: 05 Oct 2025
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Abstract 

The increasing integration of social media into the lives of children has sparked growing concern about its influence on mental health and overall well-being, particularly in pre-teens aged 9 to 12.This study investigates the impact of social media exposure on the emotional, psychological, and social development of preteens. Using a combination of literature review, surveys, and psychological assessments, the research highlights both the potential benefits and adverse effects of social media use at this sensitive developmental stage. Key issues examined include anixety, depression, self-esteem, body image concerns, cyberbullying, screen time, and sleep patterns. While social media platforms may provide opportunities for creativity, connection, and learning, the study finds that unregulated or excessive use often correlates with negative mental health outcomes. The findings emphasize the need for increased digital literacy, parental involvement, and targeted mental health interventions to ensure healthier online experiences for pre-teens. 

Keywords: Age, Sleep Disruption, Adolescent development, Screen Time, Online Behavior.

References

  1. Scoping review: Social Media Use and Depression in Adolescents.MDPI.MDPI 

  2. WHO / HBSC study: Teens, screens and mental health (2024).World Health Organization 

  3. Meta-analysis: The Impact of Social Media on Adolescent Mental Health: A Meta-Analysis. ScientiaPsychiatrica. ScientiaPsychiatrica 

  4. Literature on social comparison / filtered content: Kostyrka-Allchorne et al. 2023; other systematic reviews. ACAMH 

  5. Empirical study: Social Media and Adolescents: Exploring Links to Depression, AnXety, and Stress (Delhi sample) by Yadav&Khullar. Sijmds 

  6. COVID-19 review of mental health impacts. PubMed

Social Networking Sites: A Realistic Study on The Impact of SNS Among Digital Natives with Special Reference to Kanchipuram City
Dr. K.P. Sowmya, Assistant Professor, Department of Commerce, S.S.K.V. College of Arts and Science for Women, Kanchipuram.
Pages: 317-325 | First Published: 05 Oct 2025
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Abstract 

The most fundamental component of human life, since the beginning of time, has been communication. However, several technological advancements have transformed the way people communicate, giving rise to the emergence of social networking sites. Social media has a cultural influence on local and international news, politics, and community service, health issues impacting families and teenagers, and food and fashion trends. A new type of marketing has emerged as a result of social media, using a unique online public figure known as the social influencer. Digital natives, often known as Generation Z, are currently the most active users of social networking sites (SNS). Gen Z finds social networking sites to be a terrific method to message other active users online, discuss their experiences, create and share personal profiles, and trade information, photographs, and videos. Social networking services like Facebook, Instagram, Twitter, WhatsApp, YouTube, and others have become very popular due to the recent surge in internet users. All digital platforms offer some type of communication system and display user personal information, despite the fact that each one has a unique purpose and feature set. This study aims to ascertain how social networking sites impact Gen Z, their viewpoints, and the difficulties they encounter while using SNS. 

Keywords: Social networking sites, Digital platforms, Gen Z, impact and influence

References

  1. Namaziandost, E., Neisi, L., Mahdavirad, F., &Nasri, M. (2019). The relationship between listening comprehension problems and strategy usage among advance EFL learners. Cogent Psychology, 6(1), 1691338. 

  2. Lin, J., Lin, S., Turel, O., &Xu, F. (2020). The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telematics and Informatics, 49, 101374. 

  3. Kumar Swain, R., &Pati, A. K. (2021). Use of social networking sites (SNSs) and its repercussions on sleep quality, psychosocial behavior, academic performance and circadian rhythm of humans–a brief review. Biological Rhythm Research, 52(8), 1139-1178. 

  4. Ezeji, P. O., &Ezeji, K. E. (2018). Effect of social media on the study habits of students of AlvanIkoku federal college of education, Owerri. International Journal of Educational and Pedagogical Sciences, 12(1),

Digital Payment System in India
K. Sridevi, Assistant Professor, S.S.K.V College of Arts and Science, Kanchipuram.
Pages: 326-331 | First Published: 05 Oct 2025
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Abstract 

This Research Paper is based on the in-depth study of applications that deals with Unified Payment Interface (UPI) in India. It shows how the dynamics are changing in the UPI sector and which companies are leading the table. The study was conducted in Pune Region and the survey was done with the help of questionnaire. A response of 82 respondents has been collected and then accordingly a conclusion is made. The Data for the study was also conducted from secondary sources which eventually helped us to get a fair understanding of the Industry. In today’s world one word is common that is “Digitalization” and it is also gaining popularity due to increase in use of Smartphone by the people, the same has applied to the financial sector. In India, the Unified Payment Interface (UPI) was launched in the year 2016 by National Payments Corporation of India (NPCI). UPI is a payment server which allows its users to transfer the money on real-time basis from Peer-to-Peer (P2P) or from Person to-Merchant (P2M). It is an application that allows the users to use multiple bank accounts in single application. UPI has become so popular in India, also around world due to its ease of use, security, real-time alerts, etc. In India, UPI is currently in a growth stage and showing a robust growth year on year. In this research we will have an in-depth study on 5 major UPI apps in India namely Google Pay, PhonePe, Amazon Pay, Paytm and BHIM.

References

1. Ranjith, P. V., Kulkarni, S., & Varna, A. J. (2021). A Literature Study of Consumer Perception Towards Digital Payment Mode In India. PSYCHOLOGY AND EDUCATION, 58(1), 3304-3319. 

2. Mohd, S., & Pal, R. (2020). Moving from Cash to Cashless: A Study of Consumer Perception towards Digital Transactions. PRAGATI: Journal of Indian Economy, 7(1), 1-13. 

3. Baghla, A. (2018). A study on the future of digital payments in India. International Journal of Research and Analytical Reviews, 5(4), 85-89. 

4. Eswaran, K. K. (2019). Consumer perception towards digital payment mode with special reference to digital wallets. Research Explorer, 22. 

5. Singh, S., & Rana, R. (2017). Study of consumer perception of digital payment mode. Journal of Internet Banking and Commerce, 22(3), 1 14.

Role of Social Media in Enhancing Customer Loyalty in ECommerce
Dr. S. Vani. Assistant Professor (Economics), Department of Commerce General, S.S.K.V. College of Arts and Science for Women, Kizhambi, Kanchipuram.
Pages: 342-350 | First Published: 05 Oct 2025
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Abstract 

This study explores the role of social media in enhancing customer loyalty within the e-commerce sector. By looking at different social media techniques such as engagement, personalized communication, and brand community building, the investigate highlights how these approaches impact client maintenance and rehash buy behavior. The consider utilizes a mXed-method approach, counting overviews of online customers and interviews with promoting experts, to give comprehensive experiences. Discoveries recommend that dynamic social media nearness and important intelligent essentially fortify client dependability, eventually contributing to maintained commerce development. The investigate offers commonsense suggestions for e-commerce businesses pointing to use social media as a device for cultivating long-term client connections. 

Keywords: Social media, Customer Loyalty, E-Commerce, Customer engagement, Brand Community

References

1. Hajli, M. N. (2014). Social commerce constructs and consumer's intention to buy. International Journal of Information Management, 34(2), 123–132. https://doi.org/10.1016/j.ijinfomgt.2013.11.005 

2. Tuten, T. L., & Solomon, M. R. (2017). Social Media Marketing (2nd ed.). Sage Publications. 

3. Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., &Tillmanns, S. (2010). Undervalued or overvalued customers: capturing total customer engagement value. Journal of Service Research, 13(3), 297–310. https://doi.org/10.1177/1094670510375602 

4. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation and Practice (7th ed.). Pearson Education. 

5. Constantinides, E., & Fountain, S. J. (2008). Web 2.0: Conceptual foundations and marketing issues. Journal of Direct, Data and Digital Marketing Practice, 9(3), 231–244.

https://doi.org/10.1057/palgrave.dddmp.4350098

A Study on the Impact of Social Media Marketing on Customer Satisfaction Through Brand
K. Vijayalakshmi, Assistant Professor, Department of Commerce, S.S.K.V. College of Arts and Science for Women, Kizhambi, Kanchipuram.
Pages: 351-358 | First Published: 05 Oct 2025
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Abstract 

In the digital era, social media has become an important platform for businesses to connect with customers, promote their brands, and build long-term loyalty. This study investigates the relationship between social media marketing strategies and customer satisfaction, with a specific focus on the mediating role of brand image in Kanchipuram city. A structured questionnaire was distributed to 200 respondents, including students, professionals, and homemakers who actively use social media. Data was analyzed using percentage analysis and Chi-square test to evaluate customer perceptions. The findings reveal that engaging content, frequent interaction, and trust in brand reputation significantly influence customer satisfaction. The study highlights that a strong brand image enhances the positive impact of social media marketing, leading to improved customer loyalty and retention. 

Keywords: Social Media Marketing, Brand Image, Customer Satisfaction, Kanchipuram, Digital Marketing

References

1. Role of Brand Loyalty, Journal of Marketing. 65(April):81-93. 

2. Jindal Journal of Business Research 6(2) 132-145, 2017. 

3. Abdul Haseeb Tahir, Muhammad Adnan, Zobia Saeed Heliyon 10 (16) 2024. 

4. International Journal of Operations & Production Management 37 (1), 105 123,2017. 

5. International Journal of Bank Marketing 39 (7), 1353-1376, 2021. 

6. Journal Research in Interactive Marketing 13 (3),302-330, 2019. 

7. Kotler, P., Keller, K. L. (2016). Marketing Management. Pearson Education. 

8. Mangold, W. G., Faulds, D. J. (2009). Social Media: The New Hybrid Element of the Promotion MX. Business Horizons. 

9. Schiffman, L. G., Kanuka, L. L. (2010). Consumer Behavior. Pearson. 

10. Journals & Articles from International Journal of Marketing and Technology. 

11. Primary Data Collected from 200 Respondents in Kanchipuram City.

The Impact of Mobile Commerce on the Buying Behaviour of Young Adults in Kanchipuram District
J. Yamini, Assistant Professor, SSKV College of Arts & Science for Women, Kanchipuram.
Pages: 365-370 | First Published: 05 Oct 2025
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Abstract 

Mobile commerce (m-commerce) has become an integral part of modern retailing, particularly among young adults who are highly engaged with smartphones and digital platforms. This study explores the impact of m-commerce on the buying behaviour of young adults in Kanchipuram District. The research focuses on key factors such as convenience, trust, mobile payment systems, promotional strategies, and social media influence that drive purchasing decisions through mobile platforms. By employing both primary and secondary data, the study aims to analyze how mobile applications, ease of access, and personalized offers shape consumer preferences and buying intentions. The findings are expected to provide valuable insights for businesses and marketers to design effective mobile-based strategies that cater to the expectations of young consumers, thereby enhancing customer satisfaction and loyalty in the digital marketplace. 

Keywords: Mobile Commerce, Buying Behaviour, Consumer Preferences, Mobile Applications, Mobile Payments.

References

1. Laudon, K. C., & Traver, C. G. (2021). E-Commerce 2021: Business, Technology, and Society. Pearson Education. 

2. Turban, E., Outland, J., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2018). Electronic Commerce 2018: A Managerial and Social Networks Perspective. Springer. 

3. Chaffey, D. (2019). Digital Business and E-Commerce Management. Pearson. 

4. Kotler, P., Keller, K. L., Koshy, A., & Jha, M. (2022). Marketing Management: A South Asian Perspective. Pearson Education. 

5. Kalakota, R., & Robinson, M. (2002). M-Business: The Race to Mobility. McGraw-Hill.

Impact of Organized Retailing on Small Traders in Kanchipuram – An Empirical Study
Dr. J. Ramani Head &Assistant Professor Department of Commerce (Accounting & Finance) SSKV College of Arts and Science for Women. Kanchipuram
Pages: 528-537 | First Published: 05 Oct 2025
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Abstract

The retail sector has been at the helm of India’s growth story. This sector has evolved dramatically from traditional village fairs, street hawkers to resplendent malls and plush outlets, growing from strength to strength. The retail industry has emerged as one of the most dynamic and fast paced industries in India with several players entering the market. The Indian retail industry is the fifth largest in the world. Comprising organized and unorganized sectors, Indian retail industry is one of the fastest growing industries in India, especially over the last few years. The retail industry in India was mostly unorganized; however, with the change of tastes and preferences of the consumers, the industry is getting more popular these days and getting organized as well. Organized retailing has finally emerged from the shadows of unorganized retailing and is contributing significantly to the growth of the Indian retail sector. Buying behaviour and lifestyles in India too are changing and the concept of value for money is fast catching on in Indian retailing. 

Keywords: Retail industry, Buying behavior, consumers and lifestyles

References

  1. Syed Md Faisal Ali Khan, Divya Rana and Harpreet Singh (2014). “An Empirical Study of Organized Retailing Strategies in Developing Customer Loyalty, Changing Purchase Decision and Developing Satisfaction in Consumer of Indian Sub-Continent”, International Journal of Multidisciplinary and Current Research, March-April. 

  2. Telang, V, Nishad, S, Sahu, L, Hardel, P. N and Gupta, S (2007). “Retailing Strategies for Organized Retailers in Indian Semi-Urban Markets”, Proceedings of the National Conference on Strategies for Creating Effective Global Organization, Shri. Shankaracharya Institute of Management and Technology, Bhilai, October. 

  3. Venkatesh, V (2000). “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model”, Information Systems Research, Vol.11, No.4.

  4. Amatul Baseer and Laxmi Prabha, G (2007). “Prospects and Problems of Indian Retailing”,Indian Journal of Marketing, Vol. XXXVII, No.10, October. 

  5. Amy Wong and Amrik Sohal (2003). “Assessing Customer-Salesperson Interaction in a Retail Chain: Differences between City and Country Retail Districts”, Marketing Intelligence & Planning, Vol.21, No.5. 

  6. Anuradha Kalhan (2007). “Impact of Malls on Small Shops and Hawkers”, Economic and Political Weekly, June 2. 

  7. Berman, B and Evans, J.R (2001). Retail Management, New Jersey: Prentice Hall.