Paper Title

STRATEGIC ALLIANCE: NAVIGATING CHALLENGES IN HUMAN-AI COLLABORATION FOR EFFECTIVE BUSINESS DECISION-MAKING

Article Identifiers

Registration ID: IJNRD_213301

Published ID: IJNRD2402012

DOI: Click Here to Get

Authors

Prof. Lawrence Lowell

Keywords

Human-AI collaboration, strategic alliance, business decision-making, challenges, opportunities, explainable AI, trust-building, organizational culture.

Abstract

This abstract examines the strategic alliance between humans and artificial intelligence (AI) in business decision-making, focusing on the challenges and opportunities inherent in their collaboration. The research uses a mixed-methods approach, combining qualitative interviews and quantitative surveys to gather insights from business professionals, AI experts, and decision-makers. The target population for the study is start-up entrepreneurs, investors, and financial institutions. The study sampled 70 respondents, including 50 entrepreneurs, 10 investors, and 10 financial institutions. Qualitative data was collected through in-depth interviews, while quantitative data was obtained through surveys. Data analysis involved thematic coding of qualitative responses and statistical analysis of quantitative data to identify patterns, correlations, and significant factors influencing human-AI collaboration. The discussion section interpreted identified challenges, including explainability, ethical considerations, and the impact on decision-making processes. Strategies to overcome challenges and enhance human-AI collaboration were explored, including trust-building mechanisms, explainable AI interfaces, and the role of organizational culture. The research provides valuable insights into the dynamics of human-AI collaboration and offers practical recommendations for businesses to optimize their decision-making processes. The study emphasizes the significance of addressing challenges in human-AI collaboration for effective business decision-making.

How To Cite (APA)

Prof. Lawrence Lowell (February-2024). STRATEGIC ALLIANCE: NAVIGATING CHALLENGES IN HUMAN-AI COLLABORATION FOR EFFECTIVE BUSINESS DECISION-MAKING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), a87-a94. https://ijnrd.org/papers/IJNRD2402012.pdf

Issue

Volume 9 Issue 2, February-2024

Pages : a87-a94

Other Publication Details

Paper Reg. ID: IJNRD_213301

Published Paper Id: IJNRD2402012

Downloads: 000121978

Research Area: Management

Country: Kumasi, Ashanti Region, Ghana

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402012.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402012

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details