Skip to content
Review Open access

Antecedents and Outcomes of Sustainable Competitive Advantage in the Era of Artificial Intelligence: A Conceptual Overview

2026 · International Journal of Management and Organizational Research · Vol 5, pp. 59-64 · 0 citations

TL;DR

An integrated conceptual framework in which AI-enabled capabilities act as an important contemporary antecedent, while organizational agility, innovation capability, business model innovation and sustainability-oriented capabilities function as mechanisms through which AI and other strategic resources generate SCA is proposed.

Abstract

Purpose: Artificial intelligence (AI) is helping organization to acquire knowledge, take informed decisions, innovate, allocate resources and interact with stakeholders effectively and hence, bring a transformative up-scaling which is resulting in gaining successful competitive edge. However, mere adoption and usage of AI will not result in gaining quick and automatic sustainable competitive advantage. Therefore, there are various other factors required for an organization to obtain competitive edge and the factors like the ability of organizations to convert technological investments into durable competitive outcomes, complementary organizational resources, dynamic capabilities, innovation, human capital, leadership, sustainability practices and responsible governance. With a focus on the developing role of artificial intelligence, this conceptual paper examines and incorporates recent research on the causes and effects of sustainable competitive advantage. Design/Methodology/Approach: The adoption of blockchain, corporate digital responsibility, AI adoption, green innovation, knowledge management capability, human resource capability, fintech adoption, strategic leadership, women's strategic leadership, and lean and green manufacturing practices are studies that are cited in this paper. The Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT) provide additional support for conceptualizing the sustainable competitive advantage. Findings: The paper proposes an integrated conceptual framework in which AI-enabled capabilities act as an important contemporary antecedent, while organizational agility, innovation capability, business model innovation and sustainability-oriented capabilities function as mechanisms through which AI and other strategic resources generate SCA. The proposed framework identifies technological, organizational, strategic, sustainability and institutional factors as major antecedent categories and identifies sustainable performance, organizational resilience, business value creation, innovation performance and long-term organizational competitiveness as major outcomes. Future Research: By changing the focus from "AI adoption: competitive advantage" to "AI-enabled capability: sustainable competitive advantage," the paper adds to the body of literature and offers suggestions for further empirical study.

Read PDF

Similar papers

Review Open access Sep 2026

AI-ENABLED STRATEGIC TRANSFORMATION: ORGANIZATIONAL CAPABILITIES AND COMPETITIVE ADVANTAGE IN A CHANGING BUSINESS ENVIRONMENT

The reviewed literature indicates that AI alone does not create sustainable competitive advantage; rather, its value depends on complementary organizational resources, process redesign, employee acceptance, governance, and the ability to adapt continuously.

Unknown authors · 0 citations
Review Open access Aug 2026

Artificial Intelligence in Supporting Strategic Decision-Making and Its Impact on Organizational Performance

AI capability is a new strategic capability in the organization that goes beyond operational efficiency and can support the quality strategic decision-making, sustainable performance of an organization, and high decision quality. Though AI capability is evolving, current research remains disparate in how to transform a...

M. Alshamsi · 0 citations
Open access Aug 2026

ARTIFICIAL INTELLIGENCE ADOPTION IN ENTERPRISES: A LAYERED CAPABILITY FRAMEWORK FOR EMERGING ECONOMIES

The findings suggest that AI creates enterprise value through cognitive automation, decision intelligence, and business model innovation, but their effectiveness depends on data governance, digital leadership, human capital, financial readiness, and regulatory support.

Diep Van Vu · 0 citations
Open access Sep 2026

Decision Intelligence for Sustainable Business: A Strategic Framework Integrating Artificial Intelligence, Human Judgment, and Strategic Management

Artificial intelligence (AI) is transforming organizational decision-making by improving analytical capabilities and supporting data-driven strategic decisions. However, existing research remains fragmented across artificial intelligence, strategic management, business analytics, and sustainability, providing limited t...

Mohamed Ibrahim Hassan Farag · 0 citations
Open access Aug 2026

AI as the Third Pillar: Reconceptualizing HRM and Finance for Sustainable Entrepreneurship in Asia

Artificial intelligence (AI) is transforming how organizations create, manage, and sustain entrepreneurial ventures. While sustainable entrepreneurship has traditionally relied on human resource management (HRM) and finance as its two foundational pillars, the growing integration of AI requires a reconceptualization of...

Neeraja Kalluri, A. Ghosh, Mohamed Shafeeq et al. · 0 citations
Review Open access Aug 2026

Exploring How the Adoption of Artificial Intelligence in Human Resource Management Enhances Organizational Performance and Efficiency

The findings reveal that AI adoption in HRM is positively associated with both organizational performance and organizational efficiency, and HR process efficiency was found to play a mediating role in these relationships, indicating that improvements in HR processes are a key pathway through which AI generates organiza...

O. Akintola, S. O. Chukwuedo, Imad Yasir Nawaz et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.