Skip to main content


Journal Issues

Generation Z and the Decline of Career Maps: Examining the Roadmap Illusion
V.M.Sajitha Assistant Professor: S.Jaya Priya III B. Com (Accounting & Finance): A.Swapna III B. Com (Accounting & Finance), Valliammal College for Women, E-9 Anna nagar East, Chennai – 600102
Pages: 1-7 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

The concept of a structured career roadmap—where individuals follow a predictable progression from education to employment and long-term career stability—has historically guided workforce development. However, the emergence of Generation Z (individuals born between 1997 and 2012) is challenging this traditional framework. Rapid technological change, evolving labour markets, artificial intelligence, and new expectations regarding work-life balance have altered how young people approach career planning. Many Gen Z professionals now pursue flexible, non-linear career trajectories rather than traditional career ladders. Studies indicate that Gen Z workers frequently change jobs, pursue side hustles, and prioritize purpose and personal growth over long-term organizational loyalty.

This research paper examines whether traditional career maps remain relevant for Gen Z. Using secondary data from reports, journals, and workforce surveys, the study analyses how technological disruption, shifting workplace values, and evolving economic conditions influence career planning. The findings suggest that while career roadmaps still provide guidance, they must evolve to accommodate flexibility, continuous learning, and multi-career pathways. The paper concludes that organizations, educators, and policymakers must redesign career guidance frameworks to align with Gen Z's expectations and the dynamic nature of modern work.

Keywords: Generation Z, career roadmap, career planning, workforce trends, digital economy, employment patterns

References

  1. Randstad Global Workforce Report (2025). Gen Z Workplace Blueprint. 

  2. Fiverr Research Study on Gen Z Career Preferences (2024). 

  3. HR Review (2024). Social Media and Career Planning among Gen Z. 

  4. Forbes (2025). From Ladder to Launchpad: How Gen Z is Rethinking Careers. 

  5. Forbes (2025). Gen Z High Career Standards and Job Market Challenges. 

  6. ScienceDirect (2025). Career Intentions among Gen Z Students. 

  7. India Today Education (2026). Changing Career Patterns among Gen Z. 

Impact of Digitalization on Education In India: Time Series Analysis
Dr. A. Kavitha, Research Supervisor & Guide: P. Keerthana Research Scholar (Full-time): Dr. A.Aneez Fathima Associate Professor
Pages: 8-22 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

Digitalization in India has become essential necessary in our day to day life. It has become indispensable and very important part of every individual, business organization and other financial or banking services. As we are moving towards cashless economy, it is possible with implementing digitalization in India. It will boost the digital literacy in India and India is a developing country so there is need to literate every individual and other organization about digital literacy, to move towards becoming a developed country. Therefore, this paper analyse impact of digitalization on education in India. For this analysis considered time series data from 2000 to 2019. In this paper applied regression method for the analysis and before applied the regression we have checked the normality and multi col1lenerity with the help of descriptive and correlation analysis. Regression results reveal that the coefficient of Government expenditure on education is negative which means there is need to improve the education with more proper funds and efforts towards education for increasing the literacy rate among youth. The Digitalization variables positively correlated to the education’s variables, like literacy rate positively correlated to the secure internet server which shows that through the internet server literacy rate is going to increase and in future it will have better impact to the society with the increasing rate of literacy and internet service.

Keywords: Technologies, Education, Digital Literacy, Digitalization

References

  1. Crawford, J., Butler-Henderson, K., & Rudolph. J. (2020). COVID-19: 20 countries higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1). Retrieved from http://journals.sfu.ca/jalt/index.php/jalt/index

  2. Passah, D. R. S., & Kumar, A. (2017). Cashless economy and digitalization on tourism and hospitality practice in India. Proceedings of 10th International Conference on Digital Strategies for Organizational Success. Retrieved from http://ssrn.com/abstract=3308586

  3. Lodha, M., Soni, R., & Vardia, S. (2018). Demonetization: A push towards digitalization - A study of Udaipur city. Pacific Business Review International, 11(1),102-108.Rastogi, H. (2019). Digitalization of education in India -An analysis. International Journal of Research and Analytical Reviews, 6(1).

  4. Sharma, M. (2020). A study on digital transformation and its impact on education sector. Palarch’s Journal of Archaeology of Egypt/Egyptology (PJAEE), 17(7).

  5. Shekhar, G. C. (2017). Digital India initiative and its impact on rural society - A study. 8(8). Retrieved from www.aensi.in Marathe, S. (2018). Digitalization in education sector. ICDEBI, 2018, Oct. Retrieved from www.ijtsrd.com

  6. Gaur, A., & Padiya, J. (2016). A study on the impact of ‘Digital India’ in ‘Make in India’ Programme in IT and BPM sector. Retrieved from http://www. researchgate.net/publication/316063028

  7. Gurram, U. R., & Velagapudi, A. (2020). Impact of digitalization on traditional banking. International Journal of Research in Engineering, Science and Management, 3(12). Retrieved from http://www.ijresm.com

  8. Hans, V. B., & Crasta, S. J. (2019). Digitalization in the21st century - Impact on learning and doing, Journal of Global Economy, 15 (1). Retrieved from http://www.researchgate.net/publication/332257851

  9. Hazarika, S. (2020). Impact of digitalization on employment of personnel in banking sector: A case study of India. International Journal of Management, 11(9), 982-989. Retrieved from http://www.iaeme.com/IJM/issues.asp?JType=IJM&VType=11&IType=9and http://www.iaeme.com/IJM/index.asp

  10. Hebbar, C. K. (2020). Impact of digital India on education system. International Journal of Case Studies in Business, IT and Education (IJCSBE), 4(2), 65- 70.doi:http://doi.org/10.5281/zenodo.3988884 Rerieved    July    8,    2021,    from https://hospitalityinsights.ehl.edu/digital-transformation-trends Rerieved July 8, 2021, from https://www.guide2research.com/research/online-education-statistics

  11. Kaul,V. K. (2015). Digitalization: A new innovation wave in India. Retrieved from http://ssrn.com/abstractKaur, T., & Prashar, K. (2019). Era of digitalization and its impact on society. Journal of the Gujrat Research Society, 21(8).

  12. Kumar, R. M. (2019). Impact of digitalization on economy in India: Review of literature. International Journal of Innovative Science and Research Technology,4(5), 8-10. Retrieved from www.ijisrt.com

  13. Lockee, B. B. (2020). Shifting digital shifting context: Reconsidering teacher professional development for online and blended learning in the COVID-19era. Educational Technology Research and Development, 69, 17-20. doi:http://doi.org/10.1007/s11423-020-09836-8

  14. Yadav, S. (2018). Digital India: Opportunities and challenges. The Catalyst- Journal of Management, 3(2).

The Impact of AI Generated Advertising Content on Consumer Buying Behaviour and Consumer Engagement in Online Shopping
Dr.A.Suresh Kumar Assistant Professor, Dean -Arts Christ College of Arts and Science, Kilachery, Thiruvallur.
Pages: 23-34 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

            The influence of AI-generated advertising material on customer engagement and online purchasing behaviour is examined in this study, along with the distinctions between human-generated and AI-generated advertising content. In order to find out how marketers and AI specialists view AI-generated advertising material, a qualitative approach was employed to answer the question of what distinguishes AI-generated advertising content for online shopping from human-generated advertising content. The influence of AIGAC on brands' sales volumes and competitive advantages is explained in detail in this study.  Researchers interviewed creative directors and marketers to get their professional perspectives on the phenomenon. The study emphasises the significance of this new industry tool and how it helps with brand development, particularly with regard to brand communication tactics. This study investigates the differences This study explores the capabilities and precision of AI in advertising, specifically in relation to human emotions and feelings in online purchase.  Lastly, this study was also finished by customer impression of AI. For consumer engagements and consumer buying behaviour in online purchasing, researchers discovered that AI-generated advertising content was more effective than human-generated advertising content. AI produces more creative ad combinations that are more vivid and well-balanced. Because AI-generated advertising content is so creative, researchers find that it will increase sales. The results of this study will give practitioners guidance for their upcoming brand communication, sales, and brand building plans. Guidelines for topic research can be obtained by future researchers.

Keywords: AI Generated Advertising Content, Consumer Engagements, Consumer Intentions, Human Generated Advertising Content, AI abilities, Emotions and Feelings, Online shopping.

References

  1. Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548.

  2. Aguirre, E., Mahr, D., Grewal, 

    D., de Ruyter, K., & Wetzels, M. (2015). Unraveling thePersonalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness. Journal of Retailing, 91(1), 34-49.

  3. Bilgihan, A., Kandampully, J., & Zhang, T. (2016). Towards a unified customer experience in online shopping environments: Antecedents and outcomes. International Journal of Quality and Service Sciences, 8(1), 102-119.

  4. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing.journal of the Academy of Marketing Science, 48, 24-42.

  5. Wu, J., Gan, W., Chen, Z., Wan, S., & Lin, H. (2023). AI-Generated Content (AIGC): A Survey. arXiv (Cornell University). Ebrahimi, S., & Fanaeepour, M. (2020). The Role of Artificial Intelligence on Enhancing CRM. International Journal of Advanced Computer Science and Applications, 11(6), 100-107.

  6. Blumer, H. (1969). Symbolic interactionism: Perspective and method. University of California Press.

  7. Burgoon, J. K., Buller, D. B., & Woodall, W. G. (1978). Nonverbal communication: The unspoken    dialogue. Journal of Communication, 28(3), 12-25. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row Draft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design.

  8. Management Science, 32(5), 554- 571.

  9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20(5), 325-344.

  10. Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1994). Growing up with television: The cultivation perspective. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 17-41). Lawrence Erlbaum Associates.

  11. Norman, D. A. (2004). Emotional design: Why we love (or hate) everyday things. Basic Books.

  12. Petty, R. E., & Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change.Springer-Verlag.

  13. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. Wiley.

  14. Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning   and Instruction, 4(4), 295-312. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.

  15. DiCicco‐Bloom, B., & Crabtree, B. F. (2006). The qualitative research interview. Medical education, 40(4), 314-321.

  16. Fereday, J., & Muir

    Cochrane, E. (2006). Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods, 5(1), 80-92. Qin, X., and Z. Jiang. 2019. The impact of AI on the advertising process: The Chinese experience. Journal of Advertising 48 (4):338–46.

  17. Pawle, J., and P. Cooper. 2006. Measuring emotion Love marks, the future beyond brands. Journal of Advertising Research 46 (1):38–48.

A Study on Change Management of Select Automobile Companies
M.R.Kanimozhi Research Scholar, Annamalai University Dr. L. Ganeshamoorthy Research Supervisor, Govt. Arts College Mannalmedu, Mayiladudurai.
Pages: 35-50 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

            The Automobile industry Comprises a wide range of companies and organizations involved in the design, development, manufacturing, marketing, selling, repairing and modification of motor vehicles. It is a Significant Contributor to the Indian economy and provides employment to millions of people directly and indirectly. The industry comprises of different segments, including passenger vehicles, commercial vehicles, two wheelers and tractors. The Automobile is made up of two word auto (self) + Mobile (movable). Automobile refers to self-movable vehicles without the help of man or animal force. The automobile vehicle is used for transportation of goods and passenger by various means road, track, water or airway. Automobile industry did not exist in India in the real sense before independence. Only assembly work was done from the imported parts. General Motors (India) Ltd. Started assembling trucks and cars in 1928 in their factory at Mumbai. Automobile Industry in India has made considerable programs during the last three decades.

Keywords: Automobile, Change Management

References

  1. Bhavani, G., & Mahalakshmi, M. (2023). Change management: Strategies for successful organizational transitions. International Journal for Multidisciplinary Research, 5(4), 1–11.

  2. Chaudhary S.R., Kohade G., and Bhanot S. (2023). A Study of Change Management Practices in Management Education with Emotional Intelligence. International Journal of Advanced Research in Science, Communication and Technology, 3(2). 71-75.

  3. Ciupan, R.-D., & Lungu, F. (2025). Change management for products and processes in automotive industry. Review of Management and Economic Engineering, 24(1), 58–64. https://doi.org/10.71235/rmee.198

  4. Jamwal, A., Panchal, R., & Kumar, R. (2019). Change management in Indian pharmaceutical companies: A case study approach. Journal of Industrial Engineering and Management Studies, 6(2), 45–60.

  5. Khan, S. A., & Hashim, A. (2014). Organizational change: A case study of General Motors. International Journal of Management and Organizational Studies, 3(2), 1–10.

  6. Kuczyńska-Chałada, M., Furman, J., Małysa, T., Figa, T., Petrik, J., & Staszewska, J. (2023). Management systems in the automotive industry – Assessment of awareness of the management staff regarding their implementation and application. Scientific Papers of Silesian University of Technology. Organization and Management Series, 182, 1–17. https://doi.org/10.29119/1641- 3466.2023.182.10

  7. Murthy, M. N., & Katyal, M. (2024). The role of change management in large-scale technology adoption. International Journal of Research Publication and Reviews, 5(12), 5934–5942. 

    https://doi.org/10.55248/gengpi.5.1224.0251

  8. Nyaungwa C., Linganiso X., and Karodia A.M. (2015). Assessing the Impact of Change Management on the Performance of Zimra Region 1 in Zimbabwe, Kuwait Chapter of Arabian. Journal of Business and Management Review, 4(6), 76-104.

  9. Sharma, S., Puri, A., Sharma, A., Rajput, N., Kaur, M., & Walia, A. (2025). Towards strategic success in Indian

  10. automobile sector SMEs: Key structural drivers. Journal of Information Systems Engineering and Management, 10(48s).

  11. Srikanth R. (2018). A Study on Change Management Among Production Executives of Automobile Fims in Chennai. International Journal of Mechanical Engineering and Technology, 9(13), 330-339.

A Study on Leveraging Data Science for Responsible E-Commerce: Implications for MSMEs and Entrepreneurial Ecosystems
V.Bharathi Assistant Professor, Department of Commerce, Christ Arts and Science College, Kilachery, Thiruvallur District, Tamil Nadu – 631402.
Pages: 51-57 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

The growing integration of data science into e-commerce has significant implications for responsible economics and accountable commerce, particularly for Micro, Small, and Medium Enterprises (MSMEs operating within entrepreneurial ecosystems. This paper explores how data-driven technologies such as big data analytics, artificial intelligence, and machine learning enable MSMEs to enhance decision-making, improve operational efficiency, and foster sustainable business practices in digital markets. By leveraging data science, e-commerce platforms can promote transparency, accountability, and inclusivity while supporting MSME growth and ecosystem resilience. The study examines the interaction between data infrastructure, platform governance, institutional support, and entrepreneurial actors in shaping responsible digital commerce. It also addresses ethical and managerial challenges, including data privacy, algorithmic bias, unequal access to analytics capabilities, and regulatory compliance. Drawing on conceptual frameworks and empirical insights, the paper highlights how responsible application of data science can strengthen entrepreneurial ecosystems, improve MSME competitiveness, and contribute to accountable and sustainable economic development.

Keywords: MSME, Entrepreneurial ecosystems, Data science, E-commerce.

References

  1. Ministry of Micro, Small and Medium Enterprises (2023). Annual Report 2022–23. Government of India, New Delhi.

  2. World Bank (2021). Small and Medium Enterprises (SMEs) Finance and Development Report. Washington, DC.

  3. Organisation for Economic Co-operation and Development (2022). The Digital Transformation of SMEs. Paris: OECD Publishing.

  4. United Nations Conference on Trade and Development (2021). Digital Economy Report 2021: Cross-border Data Flows and Development. Geneva.

  5. National Institution for Transforming India (2020). India’s Digital Ecosystem and MSME Development. Government of India.

  6. Viktor Mayer-Schönberger & Kenneth Cukier (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. New York: Houghton Mifflin Harcourt.

  7. Thomas H. Davenport & DJ Patil (2012). Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review.

  8. International Monetary Fund (2022). Digitalization and the Future of Small Businesses. Washington, DC.

  9. Reserve Bank of India (2023). Report on Trend and Progress of Banking in India. Mumbai.

  10. Confederation of Indian Industry (2022). Digital Adoption and MSME Competitiveness in India. New Delhi.

Web Sources:

  1. https://www.oecd.org/en/publications/data-analytics-in-smes_1de6c6a7-en.html

  2. https://blogs.worldbank.org/en/psd/boosting-small-businesses-through-e-commerce-and-integration-value-chains

  3. https://msme.gov.in/

A Study on Prevailing Opportunities for Teachers as Dedicated Professionals
K.S. Mathumitha Assistant professor Department of commerce, Christ Arts and Science College, Kilachery.
Pages: 58-66 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

Teachers play a vital role in shaping future generations and strengthening society through education. Beyond classroom instruction, teachers increasingly engage in professional development, leadership, specialization, and innovation to enhance their careers and effectiveness. This study examines the prevailing opportunities available to teachers as dedicated professionals and analyzes how these opportunities influence job satisfaction, career advancement, and teaching effectiveness. Using a descriptive research design, primary data were collected from teachers working at Chennai Girls’ Higher Secondary School, MH Road. The findings highlight the significance of professional development, mentorship, institutional support, and work-life balance in sustaining teacher motivation and retention. The study emphasizes the need for continuous support systems to strengthen teachers’ professional growth.

Keywords: Teachers, Professional Development, Career Opportunities, Job Satisfaction, Mentorship, Descriptive Study.

References

  1. Brock, B. L., & Grady, M. L. (1998). Beginning Teacher Induction Programs: The Role of the Principal. The Clearing House, 71(3), 179 183

    https://www.jstor.org/stable/pdf/30189344.pdf?utm

  2. Collins, T. (2020): Investigated the impact of mentorship programs on teacher career advancement.

    https://files.eric.ed.gov/fulltext/EJ1434323.pdf?utm

  3. Davis, S. (2017): Reviewed global teaching opportunities in international schools.

    https://pure.uhi.ac.uk/en/publications/teacher-professional-development-in-rural-contexts-and-the-potent?utm

  4. Upton, P. (2019): Reviewed the role of unions in teacher career growth 

    https://www.researchgate.net/profile/Pamela-Osmond-Johnson/publication/325483121_Teacher_Unions_and_Educational_Reform_A_Research_Review/links/5b109f924585150a0a5e14e3/Teacher-Unions-and-Educational-Reform-A-Research-Review.pdf?origin=publication_detail&utm

Book references

  1. The clearing house. Published by Taylor & Francis Publication.

  2. Encyclopedia of teacher education published by Springer Publications.

Youngsters Perception towards H&M Clothes
K. Johnce Miracline Assistant Professor, Department of Commerce, Christ Arts and Science College, Kilachery, Tiruvallur District, Tamil Nadu – 631402.
Pages: 67-73 | First Published: 05 Mar 2026
Full text | Abstract | PDF | References | Request permissions

Abstract

The fashion industry has witnessed a significant shift in consumer behaviour, especially among youngsters, who are highly influenced by trends, brand image, and social media. This study aims to analyse the perception of youngsters towards H&M clothes. The research focuses on factors such as quality, price, design, brand image, availability, and sustainability initiatives of H&M. Data for the study is collected from youngsters through surveys and questionnaires. The findings reveal that youngsters prefer H&M due to its trendy designs, affordable pricing, and strong global brand presence. Social media marketing and celebrity influence also play a major role in shaping their buyi ng decisions. However, some respondent’s express concerns regarding durability and environmental impact. Overall, the study concludes that H&M enjoys a positive perception among youngsters and remains a popular choice in the fast-fashion segment, while continuous improvement in quality and sustainability can further enhance customer satisfaction.

References

  1. H&M. (2023). Sustainability Disclosure Report. Retrieved from https://hmgroup.com
  2. Consumer Behavior – Philip Kotler & Kevin Lane Keller. (2016). Marketing Management (15th Ed.). Pearson Education.
  3. Solomon, Michael R. (2018). Consumer Behavior: Buying, Having and Being. Pearson Education.
  4.  Journal of Fashion Marketing and Management. Various articles on fast fashion and youth buying behavior.
  5. Statista. (2023). Reports on global fast fashion industry trends. Retrieved from https://www.statista.com
  6. McKinsey & Company. (2023). the State of Fashion Report.
  7. Ajzen, Icek. (1991). the Theory of Planned Behavior. Organizational Behavior and Human Decision Processes.
  8. Philip & Armstrong, Gary. (2018). Principles of Marketing (17th Ed.). Pearson Education.
  9. H&M Group. (2022). Annual Report. Retrieved from https://hmgroup.com
  10. Business of Fashion & McKinsey & Company. (2023). the State of Fashion 2023 Report.
    Web Source 
    1.    https://matrixbcg.com/blogs/target-market/hm
    2.    https://www.researchgate.net/publication
    3.    https://www.projectpractical.com
    4.    https://www.projectpractical.com/hm-branding-strategy/