Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66851

ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING RURAL MARKETING EFFICIENCY AND MARKET ACCESS: AN EMPIRICAL STUDY

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66851

Volume:

10 |

8 |

Aug 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66851

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

FDRPKS

Fr. Dr. Robert Pradeep Kujur S.J

Management

St. Xavier's College, Ranchi

Download Author Certificate
DSAS

Dr. Shakil Anwar Siddique

Management

St. Xavier's College, Ranchi

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology capable of reshaping traditional marketing systems by enabling data-driven decision-making, predictive analysis, personalized communication, and efficient resource allocation. Rural markets, which constitute a significant component of emerging economies, face persistent challenges related to information asymmetry, inefficient supply chains, limited market connectivity, and inadequate access to customer insights. The integration of Artificial Intelligence into rural marketing offers opportunities to overcome these limitations by improving market access, enhancing agricultural advisory services, and supporting rural entrepreneurship. This empirical study examines the role of Artificial Intelligence in enhancing rural marketing efficiency and improving market access among rural producers and entrepreneurs. The study investigates the influence of AI awareness, perceived usefulness, digital literacy, and technology adoption on marketing performance outcomes. A structured questionnaire was administered to 300 respondents including farmers, rural entrepreneurs, self-help group members, and rural consumers. Data were analysed using statistical tools including reliability analysis, descriptive statistics, correlation analysis, exploratory factor analysis, and multiple regression analysis. The findings reveal that AI adoption has a significant positive impact on rural marketing efficiency and market access. Digital literacy emerged as a critical determinant influencing AI adoption behaviour. The study highlights that AI-based platforms can reduce information gaps, improve price discovery, strengthen producer-consumer relationships, and create new entrepreneurial opportunities in rural markets. The study recommends developing rural AI literacy programmes, promoting local-language AI applications, strengthening digital infrastructure, and encouraging public-private partnerships for inclusive AI adoption. The research contributes to the growing literature on AI-driven rural transformation and provides practical insights for policymakers, marketers, and rural development organizations.

KEYWORDS

Artificial Intelligence Rural Marketing Digital Literacy Market Access Rural Entrepreneurship Technology Adoption AI Adoption

Cite This Article

Fr. Dr. Robert Pradeep Kujur S.J, Dr. Shakil Anwar Siddique, "ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING RURAL MARKETING EFFICIENCY AND MARKET ACCESS: AN EMPIRICAL STUDY," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-11, Aug 2026. https://doi.org/10.55041/IJSREM66851

Full Article/Conclusion

Artificial Intelligence represents a major opportunity for transforming rural marketing systems. The study confirms that AI adoption enhances marketing efficiency, improves market access, and strengthens rural entrepreneurship. This chapter presented the analysis and interpretation of primary data collected from 300 rural stakeholders. The results demonstrate that Artificial Intelligence has a significant positive impact on rural marketing efficiency and market access. Reliability analysis confirmed the consistency of measurement scales, while factor analysis identified major influencing dimensions. Correlation and regression analysis established significant relationships between AI adoption, digital literacy, marketing efficiency, and market accessibility. The findings provide empirical support for the role of AI as an important tool for transforming rural marketing systems. However, successful AI implementation requires addressing challenges related to digital literacy, awareness, affordability, and infrastructure. AI-driven rural marketing can become an important pathway for inclusive economic development.

References

1.    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. 2.    Aker, J. C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631–647. 3.    Anderson, J. R., & Feder, G. (2007). Agricultural extension. In Handbook of Agricultural Economics (Vol. 3, pp. 2343–2378). Elsevier. 4.    Arora, P., & Vermani, A. (2021). Artificial intelligence applications in agriculture: Opportunities and challenges. International Journal of Agricultural Science and Research, 11(4), 45–56. 5.    Armstrong, G., Kotler, P., & Opresnik, M. O. (2023). Marketing: An Introduction (15th ed.). Pearson. 6.    Atzori, L., Iera, A., & Morabito, G. (2017). Understanding the Internet of Things: Definition, potentials, and societal role. Computer Networks, 121, 1–19. 7.    Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254. 8.    Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2007). The effects of gender and age on new technology implementation in a developing country. Information Technology & People, 20(4), 352–375. 9.    Bala, H., & Venkatesh, V. (2016). Adaptation to information technology: A holistic nomological network. MIS Quarterly, 40(2), 391–422. 10. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall.

Editorial & Review Transparency

Publication Date

8/19/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

1

Total views since publication

PDF Downloads

7

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...