نوع مقاله : مروری

نویسندگان

• لیلا عسگری ¹
• غلام رضا معمارزاده طهران ²
• سید مهدی الوانی ³
• ابوالفضل کاظمی ⁴

¹ گروه مدیریت دولتی، دانشگاه آزاد اسلامی، واحد قزوین، قزوین، ایران

² دانشیار، گروه مدیریت، دانشکده مدیریت، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

³ استاد، گروه مدیریت دولتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران.

⁴ گروه مهندسی صنایع، دانشگاه آزاد، واحد علوم و تحقیقات، تهران، ایران

چکیده

این پژوهش یک مرور حیطه‌ای ترکیبی همراه با تحلیل کتاب‌سنجی را برای ترسیم ساختار مفهومی، روندهای موضوعی و خلأهای پژوهشی حوزه سرمایه فکری ارائه می‌دهد. با جستجو و غربال‌گری در پایگاه اسکوپوس، از میان ۶۵۶۸ سند اولیه پس از حذف ۸۳۷ مورد تکراری و اعمال معیارهای ورود، در نهایت ۱۰۹ مقاله داوری‌شده برای تحلیل انتخاب شد؛ داده‌ها به‌صورت توصیفی، خوشه‌بندی مفهومی (با VOSviewer) و تحلیل محتوایی مورد بررسی قرار گرفت. پژوهش نشان می‌دهد ادبیات سرمایه فکری طی پنج مرحله تاریخی تکامل یافته است: از بنیان‌گذاری نظری و تعریف سازه تا تمرکز بر سنجش و گزارش‌دهی، کاربرد مدیریتی، گسترش به اکوسیستم‌های منطقه‌ای/ملی و نهایتاً پیوند با نوآوری، دیجیتالی‌سازی، کارآفرینی و پایداری. تحلیل کتاب‌سنجی ۱۳ خوشه موضوعی را آشکار ساخت (از جمله: اندازه‌گیری و گزارش‌دهی، سرمایه انسانی، نوآوری، دیجیتالی‌سازی، سرمایه فکری سبز و سرمایه فکری ملی/منطقه‌ای)، و نشان داد که سرمایه انسانی همچنان نقش محوری دارد، در حالی که مسائل نوظهوری مانند هوش مصنوعی، داده‌های بزرگ، امنیت سایبری و افشای دارایی‌های نامشهود، جهت‌گیری‌های پژوهشی آینده را شکل می‌دهند. بر پایه این یافته‌ها پیشنهاد می‌شود که پژوهش‌های آتی بر توسعه چارچوب‌های یکپارچه سنجش (سطوح سازمانی تا ملی)، مطالعات طولی برای پی‌جویی تأثیرات راهبردی، و بررسی سازوکارهای میان‌رشته‌ای سرمایه فکری در خلق ارزش اقتصادی، اجتماعی و زیست‌محیطی متمرکز شوند. یافته‌ها برای پژوهشگران، سیاست‌گذاران و مدیران که به بهره‌برداری راهبردی از دارایی‌های نامشهود می‌اندیشند، نقشه راهی روشن فراهم می‌آورد.

کلیدواژه‌ها

• سرمایه فکری
• مرور حیطه ای
• کتاب سنجی
• نوآوری و تحول دیجیتال

موضوعات

• سایر

عنوان مقاله [English]

The Evolutionary Trajectory of Intellectual Capital: A Scoping Review and Bibliometric Analysis

نویسندگان [English]

• Layla Asgari ¹
• Gholamreza Memarzadeh ²
• Seyed Mahdi Alvani ³
• Abolfazl Kazemi ⁴

¹ Department of Public Administration, Islamic Azad University, Qa.C., Qazvin, Iran

² Associate Professor, Department of Management, Faculty of Management, SR.C., Islamic Azad University, Tehran, Iran.

³ Professor, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.

⁴ Department of Industrial Engineering, SR.C., Islamic Azad University, Tehran, Iran

چکیده [English]

Introduction                                  
Intellectual capital has become an important intangible resource in contemporary organizations and knowledge-based economies. It has moved beyond an abstract managerial idea and is now widely used to explain value creation, competitive advantage, innovation capability, organizational resilience, and sustainability. In practical terms, intellectual capital refers to knowledge-based resources embedded in human capabilities, organizational routines, relational networks, and systemic structures that enable firms and institutions to create value beyond their tangible assets.
The growing attention to intellectual capital reflects the recognition that financial and physical resources alone are no longer sufficient to explain performance in dynamic and technology-intensive environments. Organizations now operate in settings where creativity, learning, adaptability, collaboration, and knowledge integration are decisive. Intellectual capital therefore provides a useful lens for examining how individuals, organizations, sectors, regions, and nations respond to uncertainty and complexity. Prior studies have shown that intellectual capital supports innovation, improves financial and operational performance, strengthens stakeholder relations, and enhances flexibility in volatile markets.
Despite this significance, the literature has expanded in fragmented ways. Research has appeared across management, accounting, finance, economics, education, and public administration, but often with a focus on isolated dimensions, specific organizational settings, or limited methods. The result is a broad yet dispersed body of knowledge lacking full conceptual integration. Some studies emphasize measurement and disclosure, while others explore performance, innovation, sustainability, entrepreneurship, or digital transformation. This diversity has enriched the field but has also made it difficult to trace its overall evolution, identify dominant streams, and determine the most important research gaps. To address this need, the present study combines a scoping review with bibliometric analysis to map the intellectual structure of intellectual capital research. The objective is not only to summarize prior work, but also to identify major thematic clusters and reconstruct the historical phases through which the field has developed. In doing so, the study shows how intellectual capital has evolved from early conceptual and measurement-focused discussions into a broader, system-based and ecosystem-oriented field connected to innovation, digitalization, entrepreneurship, sustainability, and national development. The study is grounded in a systems perspective, which is useful for understanding the adaptive and interconnected nature of intellectual capital across multiple levels of analysis.
 
Methodology
The study followed a systematic and transparent research design with three stages: database selection, keyword formulation, and article screening. Scopus was selected as the main database because of its disciplinary coverage and frequent use in bibliometric and review studies. Since intellectual capital is inherently interdisciplinary, spanning management, accounting, economics, business, and social sciences, Scopus was considered suitable for comprehensive retrieval. The search was applied to article titles, abstracts, and keywords. Because the concept has a wide semantic range, the search strategy included the core term “intellectual capital” together with related expressions such as intangible assets, knowledge capital, knowledge management, and similar terms. The initial search produced 6,568 documents. These records were exported to Excel to support duplicate removal, data organization, and bibliometric preparation. After removing 837 duplicate records, the remaining studies were screened in multiple steps. Titles and abstracts were reviewed for relevance, and articles were excluded if intellectual capital was not a central topic or if they fell outside the core areas of management, accounting, business, and economics. Non-peer-reviewed works were also excluded to preserve scholarly quality and comparability. Following this process, 4,638 articles were removed. In the final stage, 109 peer-reviewed journal articles were retained for analysis. These studies were examined through descriptive analysis, bibliometric mapping, and content analysis. Descriptive analysis identified publication trends and temporal patterns. Bibliometric analysis, conducted using VOSviewer, detected conceptual co-occurrence patterns and thematic clusters. Content analysis was then used to interpret each cluster, identify the main contributions of the literature, and reconstruct the conceptual evolution of the field. This triangulated approach produced a coherent evidence map and enabled the identification of thirteen thematic clusters and five historical phases of development.
 
Findings
The analysis showed that systematic and review-oriented intellectual capital research began to expand notably after 2005 and accelerated after 2017. Early work focused on defining intellectual capital, identifying its components, and explaining its relevance for competitive advantage. Later studies shifted toward measurement, disclosure, financial and non-financial performance, and strategic management applications. The temporal analysis also revealed the emergence of new themes. Innovation became especially visible from 2017 onward. Big data and digital technologies gained momentum after 2018. Around 2020, the literature expanded into entrepreneurship, ecosystems, sustainability, and green intellectual capital. By 2022 and 2023, green intellectual capital, digital transformation, and artificial intelligence had become increasingly prominent. This pattern suggests that the field is highly responsive to broader economic, technological, and societal change.
Bibliometric clustering identified thirteen major research streams: general intellectual capital, components of intellectual capital, intellectual capital and performance/accounting, national and regional intellectual capital, intellectual capital measurement, intellectual capital in the public and non-profit sectors, intellectual capital and business models, intellectual capital disclosure, intellectual capital and innovation, intellectual capital and digitalization, intellectual capital and knowledge, intellectual capital and sustainability, and intellectual capital and entrepreneurship. Several important findings emerged from these clusters. Human capital remained the most stable and foundational component across the literature, confirming its central role in intellectual capital theory. At the same time, structural and relational capital are increasingly being interpreted in relation to organizational learning, digital platforms, networks, and ecosystem-level collaboration. Measurement studies were highly influential, yet they also revealed a lack of standardization in indicators and methods. Although many models have been proposed, no universally accepted framework has emerged, limiting comparability across studies, sectors, and national contexts.
The performance-related literature shows a generally positive association between intellectual capital and financial performance, innovation performance, and broader organizational outcomes. However, the strength and form of this relationship vary depending on industry, firm size, institutional environment, and technological intensity. The disclosure literature likewise suggests that intellectual capital disclosure can improve transparency and market valuation, but the absence of shared reporting standards continues to hinder comparability and theoretical coherence. Another major finding is the expansion of intellectual capital research beyond the firm level. Growing attention has been given to public organizations, universities, non-profit institutions, regional systems, and national innovation ecosystems. Intellectual capital is therefore increasingly understood as a systemic and multi-level phenomenon rather than a purely internal organizational resource. At the macro level, national and regional intellectual capital research has become an important subfield focused on competitiveness, wealth creation, policy design, and sustainable development. Emerging topics such as digital transformation, big data, artificial intelligence, green innovation, and sustainability are shaping both the present and future agenda of the field. These developments indicate a shift from conventional views of intellectual capital toward more dynamic, technology-enabled, and sustainability-oriented interpretations.
 
 
Discussion and Conclusion
The results indicate that intellectual capital has evolved through five broad historical phases. The first phase, associated with the late 1980s through the 1990s and early 2000s, was primarily concerned with conceptual formation. Intellectual capital was introduced as a broad intangible resource underlying competitive advantage, and early models focused on balancing human, structural, and customer-related assets. The second phase, emerging around 2007, emphasized measurement and accounting. Scholars began defining components more precisely and developing metrics for assessing and reporting intangible value.
The third phase, becoming more visible around 2015, marked a shift toward organizational application. Research increasingly examined how intellectual capital shapes management practices, leadership, public-sector performance, education, healthcare, and non-profit organizations. The fourth phase, evident from around 2016 to 2018, expanded the lens from organizations to broader ecosystems, including regional, national, and urban systems. Intellectual capital was linked to innovation systems, knowledge transfer, sustainability, and digital transformation. The fifth phase, prominent from 2018 onward, reflects the integration of intellectual capital with entrepreneurship, green innovation, digitalization, knowledge management, and sustainable development.
This five-phase model shows that the field has moved from foundational theorizing to a more complex and future-oriented research agenda. Intellectual capital is now understood not only as a source of internal advantage but also as a strategic capacity embedded in networks, institutions, and ecosystems. This shift is especially important in an era defined by digital disruption, environmental pressure, and rising expectations for social responsibility. The findings therefore suggest that the conceptual boundaries of intellectual capital should expand to account for cross-level interactions, technological infrastructures, and sustainability imperatives.
The study also reveals persistent limitations in the literature. Despite conceptual progress, the field remains fragmented in definitions, methods, and metrics. Measurement research still lacks a unified framework capable of capturing the complexity of intellectual capital across organizational and macro-level settings. Similarly, the relationships among intellectual capital, innovation, performance, and sustainability are often studied separately rather than as interconnected processes. There is therefore a clear need for integrative models that explain how different forms of intellectual capital interact over time and across contexts.
From a theoretical perspective, the systems approach adopted in this study provides an effective way to understand these dynamics. Intellectual capital should be viewed as a living system of interdependent resources that evolves in response to environmental change. Its value depends not only on the quality of individual components but also on the relationships among them and their alignment with broader organizational and institutional goals. This perspective supports a holistic understanding of value creation that includes economic, social, environmental, and technological dimensions.
In practical terms, managers and policymakers should adopt integrated approaches to mapping, measuring, and leveraging intellectual capital. Organizations need stronger tools to assess intangible resources, track their development over time, and align them with strategic objectives. Policymakers should also recognize the importance of intellectual capital in national and regional development strategies, especially in relation to digital transformation, innovation policy, and sustainable growth.
In conclusion, this study provides a structured map of intellectual capital research and shows that the field has entered a new phase characterized by interdisciplinarity, digitalization, and sustainability. The findings offer a foundation for future research by clarifying the historical evolution of the field, identifying its major thematic streams, and highlighting important research gaps. Future studies should focus on more integrated measurement frameworks, longitudinal and multi-level analyses, and the role of intellectual capital within innovation ecosystems, digital environments, and sustainability-oriented business models. Such efforts will be essential for advancing both the theoretical maturity and practical relevance of intellectual capital research.

کلیدواژه‌ها [English]

• Intellectual capital؛ Scoping review
• Bibliometrics؛ Innovation؛ Digital transformation