Highlights
Organisational Knowledge as a Strategic Resource and the Role of Organisational Learning in Achieving Competitive Advantage
Organisational knowledge is a critical strategic resource that enhances innovation, operational efficiency, and long-term competitiveness (Simon and Lam, 2024). The Resource-Based View (RBV) argues that knowledge, being valuable, rare, inimitable, and non-substitutable (VRIN), forms the foundation of sustainable competitive advantage (Mahdi and Nassar, 2021). Knowledge Management (KM) involves the systematic creation, sharing, and utilisation of intellectual capital (IC)within organisations (Suparwadi et al., 2024). Organisational Learning (OL) ensures continuous knowledge acquisition and adaptation, enabling firms to respond to dynamic markets (Chen and Zheng, 2022). This essay critically examines how knowledge is created, shared, and leveraged strategically to drive organisational success in the digital economy.
The Resource-Based View (RBV) posits that an organisation's competitive advantage stems from its internal resources, particularly those that meet the VRIN criteria:valuable, rare, inimitable, and non-substitutable (Mahdi and Nassar, 2021). Knowledge, in this context, is a strategic asset that enhances decision-making, innovation, and efficiency, making it a core driver of sustained competitiveness (Simon and Lam, 2024). Firms that effectively manage knowledge can create unique capabilities, fostering differentiation and long-term growth (Veríssimo et al., 2024).
Organisational knowledge is classified into explicit and tacit knowledge (Suparwadi et al., 2024). Explicit knowledge is codified and easily transferable, such as patents, databases, and training manuals. Tacit knowledge, on the other hand, is experience-based and difficult to articulate, making it a critical yet challenging resource to leverage (Kucharska and Erickson, 2023).
Further, intellectual capital (IC) encompasses three key components:
Firms such as Google, Apple, and McKinsey & Co. exemplify how knowledge-intensive organisations outperform competitors. Google’s AI-driven knowledge management, Apple’s innovation ecosystem, and McKinsey’s knowledge-sharing networks illustrate how effective KM leads to market leadership (McKinsey & Company, 2024). Research shows that knowledge-intensive firms achieve 2.5 times higher financial performance than their peers (Martínez-Noya and García-Canal, 2021).
By leveraging knowledge strategically, organisations can build resilient, future-proof competitive advantages, sustaining growth in knowledge-driven economies.
Definition & Purpose
Organisational learning (OL) is the process by which companies develop, store, and apply knowledge to improve performance and gain competitive advantage (Chen and Zheng, 2022). Effective OL enables firms to adapt to dynamic environments, innovate continuously, and refine strategic decision-making (Indriyani et al., 2025). Knowledge Management (KM) complements OL by providing structured mechanisms to capture, share, and utilise knowledge efficiently.
Nonaka and Takeuchi propose the SECI Model, which describes four modes of knowledge conversion (Farnese et al., 2019):
This cyclical process of knowledge creation fosters organisational innovation and efficiency, ensuring firms remain competitive in knowledge-intensive markets.
Technological advancements play a crucial role in modern KM strategies, particularly through (Nyuga and Tanova, 2024):
Amazon leverages AI, big data, and predictive analytics to drive knowledge management. Its AI-powered recommendation system continuously learns consumer behavior through advanced data analytics. Additionally, Amazon’s AWS Cloud facilitates seamless knowledge sharing across global operations, ensuring efficient supply chain and customer insights management (Manasa and Devi, 2022).
By integrating OL, SECI-based KM practices, and digital technologies, organisations can maximise knowledge utilisation for sustained competitive advantage.
Knowledge creation is fundamental to innovation and competitiveness. Research & Development (R&D) plays a pivotal role in generating new ideas, enhancing products, and improving operational efficiencies (Veríssimo et al., 2024). Companies that invest in R&D outperform competitors by staying ahead in technological advancements and market trends (Simon and Lam, 2024). Employee training and a knowledge-driven organisational culture further foster continuous learning and innovation. Google’s 80/20 rule, which allows employees to dedicate 20% of their time to personal innovation projects, has led to groundbreaking products like Gmail and Google Maps (Krasteva, Sharma and Wagman, 2015).
Knowledge sharing enables organisations to distribute and utilise intellectual capital effectively. Internal platforms like intranets, mentorship programs, and Communities of Practice (CoPs) facilitate knowledge exchange (Zamiri and Esmaeili, 2024). Successful organisations encourage cross-departmental collaboration, breaking silos that hinder knowledge flow. For instance, Siemens’ ShareNet, a knowledge-sharing platform, reduced inefficiencies by 25% and improved innovation cycles.
To sustain competitive advantage, firms must apply knowledge strategically:
A prime example is Amazon’s AI-powered recommendation system, which analyzes user behavior, personalizes suggestions, and drives revenue growth. By integrating big data analytics and knowledge management, Amazon has optimized customer engagement and supply chain efficiency, maintaining its market dominance.
By effectively creating, sharing, and leveraging knowledge, firms can establish a sustainable competitive edge in the digital economy.
Nevertheless, several challenges have been observed to affect KM implementation in organizations, which are as follows: Cultural barriers also persist in the same way, as employees regard knowledge as their property instead of the company’s property and hence, knowledge silence and knowledge lock-up are common in organisations (Kassa & Ning, 2023). This reduces the sharing of information across organizational departments and hinders the free flow of knowledge within the organisation. Moreover, there are technological constraints, whereby the implementation of artificial intelligent KM systems, cloud computing, and information security measures call for adequate capital investment. The problems of moving from old application systems to the current KM framework are common among many firms, and this hampers the efficiency of knowledge acquisition and sharing. Moreover, the measurement of the ROI of the KM initiatives is a challenge since knowledge is an intangible resource, and it is challenging to link them to the potential innovation and productivity (Nakash & Bouhnik, 2021).
In order to address such challenges, the following strategic interventions are necessary in organisations. Organizational support and change management are critical in the enhancement of knowledge-sharing and collaboration. Automated KM tools like IBM Watson can help in the acquisition and application of knowledge in the organization. Besides, the use of incentives to support recognition for knowledge sharing makes the activity become a part of culture in the organization (Suparwadi et al., 2024). The management of these barriers allows firms to attain maximum benefit from KM as a source of competitive advantage.
This essay has established that knowledge is one of the most important strategic assets that define innovation, competitiveness, and sustainability. Concepts and models like SECI Model helps the organisations in the management of learning and knowledge within the firm. Thus, although there are obstacles like cultural resistance and technological limitations, AI solutions and leadership in organizations will improve the effectiveness of KM. In today’s world, managing knowledge based business models will be a key factor in maintaining competitiveness, flexibility and growth in organisations.
The assessment required the student to critically analyse the strategic role of organisational knowledge, Knowledge Management (KM), and Organisational Learning (OL) in achieving sustainable competitive advantage in the digital economy. The task was designed to assess the student’s ability to:
Apply the Resource-Based View (RBV) to explain knowledge as a strategic VRIN resource.
Differentiate between explicit, tacit, and intellectual capital components.
Analyse Organisational Learning theories and Knowledge Management models.
Critically evaluate the SECI Knowledge Creation Model within real-world organisational contexts.
Demonstrate understanding of digital technologies and KM systems such as AI, cloud computing, analytics, and collaboration platforms.
Use industry examples and empirical evidence to support arguments.
Discuss knowledge creation, sharing, and leveraging for strategic advantage.
Examine challenges and barriers in KM implementation and propose practical solutions.
Apply academic literature, Harvard / APA referencing, and critical evaluation skills.
The assessment required an academically rigorous discussion supported by:
peer-reviewed research
theoretical frameworks
organisational case examples
critical reflections on practice rather than descriptive writing
The Academic Mentor supported the student by breaking the assessment into manageable stages and guiding them through each section in a structured, step-by-step approach.
The mentor first discussed:
the purpose of the assessment
key learning outcomes
marking criteria and expectations
the importance of critical analysis over narration
The mentor helped the student identify the core analytical focus areas, including:
strategic value of knowledge
Knowledge Management processes
Organisational Learning frameworks
practical application through industry cases
This ensured the student approached the task with conceptual clarity and academic direction.
The mentor guided the student in structuring the assessment logically, ensuring coherence and academic flow:
Introduction : establishing knowledge as a strategic resource
RBV and VRIN perspective of knowledge assets
Types of knowledge and intellectual capital categories
Organisational Learning and Knowledge Management linkages
SECI Model and knowledge creation cycle
Role of digital technology in KM
Knowledge creation, sharing, and leveraging for competitiveness
Real-world case applications
Challenges and barriers in KM implementation
Strategic recommendations and conclusion
The mentor emphasised:
integrating theory with analysis
maintaining essay coherence
linking each section back to competitive advantage
The Academic Mentor encouraged the student to:
use peer-reviewed journals and credible academic sources
support claims using current industry and research insights
avoid reliance on generic or descriptive sources
The mentor also guided the student on:
synthesising rather than summarising literature
demonstrating critical engagement with theory
connecting concepts to industry practice
This improved the academic depth and credibility of the assessment.
The mentor encouraged the student to strengthen analysis by linking:
SECI knowledge creation model to innovation practices
R&D investment to organisational growth
AI-driven KM systems to digital transformation
KM practices to operational efficiency and strategic decision-making
Examples such as Amazon, Google, Siemens, Apple, and McKinsey were incorporated to:
illustrate practical implementation
demonstrate strategic value creation
reinforce theoretical arguments
This aligned the assessment with applied learning objectives.
The mentor guided the student to critically evaluate:
cultural resistance to knowledge sharing
technological barriers
KM implementation costs
measurement and ROI challenges
Rather than simply listing challenges, the student was encouraged to:
examine organisational implications
connect barriers to performance outcomes
propose realistic managerial interventions
This strengthened the evaluation and reflective analysis component of the essay.
The mentor provided guidance on:
maintaining academic tone
improving coherence between sections
strengthening argument continuity
correct APA referencing and citation structure
Feedback focused on:
clarity of critical discussion
strength of theoretical integration
alignment with assessment objectives
The final submission demonstrated:
rigorous academic writing
integrated conceptual understanding
strong application of theory to practice
Through structured guidance and iterative refinement, the student successfully demonstrated:
Understanding of knowledge as a strategic VRIN resource
Application of RBV, SECI, OL, and KM frameworks
Ability to connect theory to real-world organisational strategy
Critical analysis of digital transformation and KM systems
Awareness of KM challenges and managerial solutions
Competence in research synthesis and academic evaluation
The assessment outcomes reflected the key learning objectives, including:
strategic thinking capability
analytical and conceptual reasoning
academic writing and research competence
ability to integrate theory and practice
The assessment required a critical, theory-driven exploration of how organisations create, share, and leverage knowledge to achieve sustainable competitive advantage. Through structured academic mentoring, the student was guided step-by-step in developing a logically organised, research-supported, and critically reflective essay that successfully met the assessment standards and demonstrated achievement of the intended learning outcomes.
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