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

"STRATEGIC ALLIANCE: NAVIGATING CHALLENGES IN HUMAN-AI COLLABORATION FOR EFFECTIVE BUSINESS DECISION-MAKING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a87-a94, February-2024, Available :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: 000121155

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area