Faheem Jan | Data Science and Analytics | Innovative Research Award

Published on by Research Awards

Innovative Research Award

Faheem Jan
AffiliationBacha Khan University, Charsadda Pakistan
CountryPakistan
Scopus ID57706366800
Documents6
Citations132
h-index4
Subject AreaData Science and Analytics
EventInternational Research Awards

Faheem Jan, affiliated with Bacha Khan University, Charsadda Pakistan, is recognized within the academic community for scholarly contributions in the field of Data Science and Analytics. His research portfolio demonstrates engagement with contemporary analytical methodologies, data-driven decision-making frameworks, and computational research approaches. Based on available bibliometric indicators, including citation impact and scholarly output, his academic profile represents a notable contribution to ongoing developments in data science research.[1]

Abstract

This article presents an academic overview of Faheem Jan and evaluates his scholarly profile in relation to the Innovative Research Award. The assessment is based on publicly available bibliometric indicators, research productivity, citation performance, and engagement within the field of Data Science and Analytics. The profile demonstrates sustained scholarly activity and measurable research influence through published work and citation recognition.[1]

Keywords

Data Science, Analytics, Machine Learning, Computational Research, Citation Impact, Scholarly Publications, Academic Recognition, Research Excellence, Knowledge Discovery, Innovative Research.

Introduction

The growing importance of data-driven methodologies has increased the significance of researchers working in analytics, artificial intelligence, and computational sciences. Scholars contributing to these areas play a critical role in advancing knowledge, developing analytical tools, and improving decision-making processes across sectors. Faheem Jan’s academic activities align with these broader objectives through research engagement in Data Science and Analytics.[1]

Research Profile

Faheem Jan is affiliated with Bacha Khan University, Charsadda, Pakistan. His scholarly profile, indexed through Scopus Author ID 57706366800, indicates participation in peer-reviewed research activities and contributions to the scientific literature. Bibliometric indicators report six indexed documents, 132 citations, and an h-index of four, reflecting measurable visibility within the academic community.[1]

Research Contributions

Research contributions within Data Science and Analytics often encompass statistical modeling, predictive analytics, machine learning applications, data visualization, and computational intelligence. Through scholarly publications and citation activity, Faheem Jan has contributed to the dissemination of knowledge in analytical and computational research domains. Such contributions support evidence-based decision-making and technological innovation across multiple disciplines.[2]

Publications

The publication record indexed within Scopus indicates a focused body of research output. Publication activity, combined with citation performance, provides evidence of scholarly engagement and research dissemination. Indexed documents contribute to the visibility and accessibility of research findings within the broader scientific community.[1]

Research Impact

Research impact is commonly assessed through citation indicators, publication quality, visibility, and influence on subsequent scholarly work. With 132 citations and an h-index of four, Faheem Jan’s research demonstrates measurable engagement by the academic community. Citation metrics suggest that published studies have been referenced and utilized within related areas of scientific inquiry.[1]

Award Suitability

The Innovative Research Award recognizes researchers who demonstrate originality, scholarly productivity, and meaningful contributions to their academic fields. Based on available bibliometric indicators, research activity, publication record, and citation impact, Faheem Jan exhibits characteristics that align with the objectives of this recognition. His work in Data Science and Analytics contributes to the advancement of analytical methodologies and supports continued academic development within the discipline.[1][3]

Conclusion

Faheem Jan’s scholarly profile reflects sustained participation in research and publication activities within Data Science and Analytics. Citation performance, indexed publications, and institutional affiliation collectively demonstrate an active academic presence. These attributes support consideration for recognition under the Innovative Research Award category and illustrate the importance of ongoing contributions to analytical and computational research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Faheem Jan, Author ID 57706366800. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57706366800
  2. Association for Computing Machinery. (2023). Advances in Data Science and Analytics Research.DOI:
    https://link.springer.com/article/10.1007/s11227-025-08197-4
  3. International Research Awards. (n.d.). Innovative Research Award Evaluation Criteria.https://researchawards.net/

Rajiv Dahiya | Business Analytics | Best Researcher Award

Published on by Research Awards

Dr. Rajiv Dahiya | Business Analytics | Best Researcher Award

University of North Carolina at Pembroke | United States

Dr. Rajiv Dahiya is an Assistant Professor of Business Analytics at the Thomas College of Business and Economics, University of North Carolina at Pembroke. His research integrates the disciplines of Business Analytics, Decision Science, and Information Systems, focusing on how organizations can leverage data-driven strategies to enhance decision-making, develop dynamic capabilities, and improve firm performance. Drawing on over a decade of professional experience in enterprise systems and analytics, Dr. Dahiya combines theoretical insight with practical applications in quantitative modeling, data visualization, and predictive analytics. His primary research stream examines the strategic role of Big Data Analytics (BDA) and Analytics Human Capital (AHC) in driving competitive advantage and firm outcomes. Building on the Resource-Based and Knowledge-Based Views, his doctoral dissertation, “Firm Performance in the Era of Big Data Analytics: Effects of Analytics Human Capital on Firm Capabilities and Performance,” empirically investigates how analytics expertise within firms fosters superior performance through enhanced decision-making capabilities. This work contributes to the growing body of literature on digital transformation and has been recognized for addressing critical gaps in understanding the human element of analytics success. Dr. Dahiya has published and presented his work in reputed outlets such as the Journal of Strategy and Management, Journal of Strategy & Innovation, and the Southeast Decision Science Institute Proceedings. His studies explore emerging topics including text analytics for content analysis, social media analytics and organizational attractiveness, and data-driven risk modeling in online identity theft. Current projects under review extend his analytical framework to assess the impact of business analytics and decision-making capabilities on organizational performance and employ classification analytics to forecast the success of management practices in Eastern European firms. Methodologically, Dr. Dahiya employs empirical, data-centric approaches such as multivariate regression, structural modeling, and machine learning classification, integrating data from sources like WRDS and Thomson Reuters. His interdisciplinary expertise bridges data science, management theory, and information systems, providing a robust platform for applied business research. Through his work, Dr. Dahiya aims to advance the theoretical understanding and practical deployment of analytics-driven decision support systems in corporate environments. His ongoing contributions align with the mission of developing evidence-based managerial insights that support data-driven transformation in today’s competitive business landscape. He remains an active member of the Decision Sciences Institute (DSI) and INFORMS Analytics Society, promoting research collaboration and knowledge dissemination in analytics and management science.

Profile: Scopus

Featured Publications

Dahiya, R., Le, S., & Kroll, M. J. (2025). Big data analytics and firm performance: The effects of human capital and mediating firm capabilities. Journal of Strategy & Innovation, 36(1).

Dahiya, R., Le, S., Ring, K., & Watson, K. (2022). Big data analytics and competitive advantage: The strategic role of firm-specific knowledge. Journal of Strategy and Management (Special Issue: Digital Transformation & Knowledge Management).

Dahiya, R. (2025). Text analytics for content analysis: A case study in online privacy. Proceedings of the Southeast Decision Science Institute.

Dahiya, R. (2025). Social media analytics and organization attractiveness. Proceedings of the Southeast Decision Science Institute.

Dahiya, R., & Van Slyke, C. (2024). Examining the impacts of analytics human capital on firm performance. Proceedings of the Southeast Decision Science Institute.

Dahiya, R., Kroll, M., Le, S., & Duong, B. (2020). Impact of managerial and employee analytics human capital on firm performance: An empirical study. Proceedings of the Southern Management Association Annual Meeting, St. Pete Beach, FL, October 20–23, 2020.

Dahiya, R., & Van Slyke, C. (2019). Big data analytics and competitive advantage: A systematic literature review. Proceedings of the Decision Science Institute Annual Meeting, New Orleans, LA, November 21–24, 2019.