1 Introduction

The ascendency of Intellectual Capital (IC) in both academic and practical domains in recent years underscores its pivotal role in value creation and economic progression, especially within knowledge-centric economies (Martín-de Castro et al. 2019; Beattie and Smith 2013; Vafaei et al. 2011; Anifowose et al. 2018; Kucera and Dvorakova 2023). A prevailing discourse posits that the disparity between an enterprise's market and book values largely hinges on its IC—a unique asset difficult to duplicate across entities (Ni et al. 2020; Ur Rehman et al. 2022; Wang 2013; Martín-de-Castro et al. 2011). Essentially, IC embodies intangible assets including the possession of knowledge, experience, skill, good relationships, and core capabilities that elevate firms to competitive prominence (Baima et al. 2021; Tseng and James Goo 2005). The academic zeitgeist classifies IC into a tripartite model: human capital (HC), structural capital (SC), and relational capital (RC), encompassing associated facets such as process, customer, and social capital within this triadic structure (Ni et al. 2020; Prencipe et al. 2023; Nadeem 2020; Nkambule et al. 2022; Subramaniam and Youndt 2005).

Scholars differentiate between intellectual capital efficiency (ICE) and intellectual capital disclosure (ICD). ICE implies the effectiveness with which IC assets are utilized to enhance organizational performance (Chowdhury et al. 2019; Nadeem et al. 2019). While ICD denotes reporting practices related to information about IC assets (Mardini and Lahyani; 2022; Nicolò et al. (2021). In the realm of IC disclosure, literature bifurcates into two dominant paths. The first trajectory seeks to understand the factors influencing IC disclosure, revealing a diverse array of determinants (Bellora and Guenther 2013; Smriti and Das 2022; Nicolò et al. 2022; Vitolla et al. 2020; Hidalgo et al. 2011). In contrast, the second trajectory investigates the ramifications of IC disclosure, illuminating its intricate implications (Anifowose et al. 2018; Babajee et al. 2020; Boujelbene and Affes 2013; Clarke et al. 2011; Dharni and Jameel 2021). Embedded within this dialogue is a distinction between ICD and ICE. While contemporary investigations revolve around factors enhancing the utilization of IC assets, a holistic analysis connecting both the precursors and outcomes of IC is largely missing.

In the dynamic landscape of IC, discerning the precursors and ramifications of both ICE and ICD is paramount. This investigation aims to achieve three main objectives. Initially, it embarks on a quantitative analysis of the literature to identify leading authors, sources, and themes. Subsequently, it delves into current ICE and ICD research trajectories, recognizing dominant patterns and evident gaps. Ultimately, the study proffers avenues for future exploration, aiming to deepen the understanding of IC dynamics. The research is guided by three pivotal questions:

  1. RQ1:

    What bibliographic features define current antecedents and consequences of intellectual capital (ICAC) articles?

  2. RQ2:

    What primary IC research themes exist concerning the antecedents and outcomes of both ICE and ICD?

  3. RQ3:

    What avenues present themselves for prospective research in the spheres of ICE and ICD?

To meet these goals, a systematic literature review (SLR) was conducted on 170 articles from 101 scholarly sources, providing a comprehensive perspective on ICAC scholarship. Our analysis revealed three central themes underpinning IC antecedents and consequences. Recognizable gaps in the current body of knowledge were also identified, highlighting areas ripe for future academic inquiry.

While IC has been at the epicenter of academic discussions, rigorous deliberations specifically focusing on the antecedents and outcomes of ICD and ICE are comparatively limited. Despite the plethora of literature reviews addressing IC, a meticulous focus on ICD and ICE remains uncommon. Key-works include Alvino et al. (2020), Baima et al. (2021), Bellucci et al. (2021), Buenechea-Elberdin (2017), Chaudhary et al. (2023), Daraio et al. (2023), Esmaeili Givi et al. (2022), Inkinen (2015), and Quintero-Quintero et al. (2021). The importance IC for the sustainable and innovative development of organizations was examined by Alvino et al. (2020) using a bibliometric analysis of 45 articles with publication dates ranging from 1990 to 2019. They determined that most of IC research published from a sustainability viewpoint focused on measuring outcomes in terms of improved business performance. Furthermore, in the intersection between IC and business models, Baima et al. (2021) conducted SLR and bibliometric analysis of 74 peer-reviewed articles. They found that most of the studies were concentrated on the value creation and value capture aspects, with a primary focus on examining the relationship between IC and firms' performances (e.g., economic, financial, and organizational). Bellucci et al. (2021) conducted bibliometric and SLR of 187 research that were published in the Journal of Intellectual Capital (JIC) between 2014 and 2018 to identify new themes and potential trends. According to their findings, there were four key streams of JIC research that emerged; reporting and disclosure of IC; IC research in universities, education, and the public sector; knowledge management; and IC, financial performance, and market value. In her 2017 review and analysis of the literature, Buenechea-Elberdin examined the connections between IC and innovation. The study identified directions for future study in the field of IC-innovation.

While the SLRs have made significant contributions, they come with certain limitations. Foremost among these is a notable discrepancy in volume; despite the rich landscape of empirical IC articles, those dedicated to literature reviews remain conspicuously few. Moreover, the extant review articles tend to adopt a rather narrow perspective, primarily zoning in on discrete facets of IC. This is evident in works such as Alvino et al. (2020) and Baima et al. (2021) which mainly emphasize specific IC consequences, or in the generalized IC examinations like the one by Quintero-Quintero et al. (2021). Other reviews, such as those by Bellucci et al. (2021) and Esmaeili Givi et al. (2022), are limited to trends within particular journals. This piecemeal approach has left a void—a comprehensive appraisal spanning all IC aspects remains elusive. Another limitation pertains to the narrow thematic focus of several studies on areas like firm performance, as highlighted by Inkinen (2015), or innovation, as presented by Buenechea-Elberdin (2017). Chaudhary et al. (2023) also presented a constrained view on entrepreneurial orientation. A recurrent issue in previous analyses is the inability to distinguish between the antecedents and consequences of both ICE and ICD, marking a lacuna in the literature. Lastly, there is an imperative to refresh and expand past literature review studies. With IC studies proliferating over time, several prior reviews, such as those by Buenechea-Elberdin (2017) and Inkinen (2015), may not capture the latest trends and insights in our dynamic global context.

Given the limitations identified, we argue for an updated, all-encompassing review of IC, integrating both its antecedents and consequences. Such a review mandates a precise and transparent methodology. Our endeavor departs from prior examinations in its intention to furnish a contemporary framework conducive for discerning the practical facets and implications of IC. Such insights are anticipated to guide academic IC researchers in pinpointing existing lacunae and charting new trajectories in ICAC research, distinguishing our methodology from conventional literature reviews. To our knowledge, the SLR encapsulates a comprehensive selection of 170 IC articles from the past two decades, offering a panoramic view of evolving IC themes. This extensive and interdisciplinary SLR resonates with a diverse audience, ranging from academics to policymakers, practitioners, and corporate magnates. Merging a theme-driven systematic review with bibliometric analysis, our study stands poised to catalyze further exploration in the domain. Our meticulous review creates implications for a broad spectrum of stakeholders. It equips the academic fraternity with tools to spot promising research avenues and predominant themes within the IC literature. Simultaneously, it bestows upon enterprises insights to refine their ICD and ICE strategies. Corporate managers, gleaning from our findings, can demystify questions pertaining to the dynamics of IC disclosure, determinants of its variance, and the ensuing organizational repercussions. Our review underscores the imperative to discern, from an all-encompassing perspective, the key catalysts that can elevate ICD.

The structure of this paper is as follows: Sect. 2 elucidates our research methodology. Section 3 delves into the bibliometric results and a discourse on the salient findings, lays out the content analysis outcomes and our holistic framework for ICAC studies. Section 4 outlines prospective research avenues. The paper culminates in Sect. 5, summarizing our conclusions, implications, and potential limitations.

2 Methodology

This study aims to conduct a SLR by identifying, analyzing, and synthesizing fragmented streams in IC literature. To overcome challenges like subjectivity, a hybrid review methodology was adopted, combining a bibliometric and framework-based review. Block and Fisch (2020) argued that the research is not a bibliographic study if it merely provides a list of articles followed by a brief description. The bibliometric technique was employed to respond to RQ1, drawing on a developing trend in recent business management and accounting research (e.g., Bellucci et al. 2021). Content analysis was conducted to answer RQ2 and RQ3. Therefore, we followed the instructions provided by the novel work of Block and Fisch (2020), Paul and Criado (2020), and Snyder (2019) to conduct an impactful SLR study that evaluates the development of research on ICAC. The steps adopted ensure transparency, reproducibility, and offer various approaches for selecting articles for review.

Our SLR adheres to the methodology of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) group. The first, as suggested by Massaro et al. (2016), the SLR process began with formulating research questions, illustrated in Sect. 1. The second step is to determine what database to use for collecting data (Carvalho et al. 2013). Data collection is based on Scopus database. Scopus database has been used as the only source of data in many similar studies in fields of business, management, and accounting (e.g., Drago and Aliberti Amidani 2019; Md Khudzari et al. 2018). Scopus database is considered the most used search database as it offers several advantages since it covers a wide range of subjects and allows scholars to import all needed bibliographical data (such as citation, affiliation, abstract, keywords, publisher, and references) in a single file with a proper excel format (Amrutha and Geetha 2019; Md Khudzari et al. 2018). Data collection commenced in May 2023. It is important to emphasize that our search methodology did not impose any timeline limits throughout the data retrieval procedure. Instead, we opted for inclusivity and included all publications from the Scopus database that fulfilled our predetermined search conditions. Such an approach allows us to identify recently debated topics while also considering what literature has been discussed in the past. The third step is to gather data using a variety of keyword strings. After reviewing similar publications, definitions, and categories of IC, the search query was made after applying filters to fulfill the objectives and obtain optimal results. This search query is TITLE-ABS-KEY (“intellectual capital*” disclosure) AND antecedent OR consequences OR determinants OR factors OR performance OR “board diversity*” OR “corporate governance*”) AND (LIMIT-TO (LANGUAGE, "English")) AND (LIMIT-TO (SRCTYPE, "j")).

The fourth step is to determine which articles to include or exclude based on a specific selection criterion. In specific, after conducting a thorough search query in the Scopus database, we were able to obtain 368 documents from various countries and institutions. To ensure comprehensiveness and reliability, the study excluded documents in other languages from the basic query search. Hence, six documents were excluded from the study published in Spanish, Ukrainian, Russian, Portuguese, and Polish. Out of 362 documents, only published journal articles were considered. Hence, 52 articles were excluded at that point. Our search was limited to areas related to business, management, and accounting, which resulted in excluding additional 48 articles resulting in keeping 262 research publications. Further, after reading the title and abstract, we excluded studies primarily that did not analyze the concept of IC in combination with either its antecedents or consequences, since they are not in align with our review's scope. Additionally, topics without including IC are irrelevant and excluded, such as studies focused on keywords that include antecedents and consequences only (e.g., performance or board diversity or corporate governance). Furthermore, methodological papers lacking empirical research on IC antecedents or consequences were not suitable for inclusion. At least two of the authors assessed independently the articles to make sure that only included articles are those that fit with our review’s scope. After reviewing the titles and abstracts of these publications, we eliminated 92 publications that did not relate to the search query. This left us with 170 articles. Figure 1 depicts the inclusion and exclusion criteria for the SLR article selection process.

Fig. 1
figure 1

(Source: Authors’ own work)

Flowchart of inclusion and exclusion criteria

The last step is to identify research streams and themes with the help of ‘Biblioshiny.” It represents a bibliometric tool provided by a web-specific R package ‘bibliometrix 3.0’ (Li et al. 2016). It is designed for non-coders to conduct scientometric and bibliometric analysis to explore the impact of a set of researchers, the effect of a particular journal, and specifically to identify the set of impactful papers in a specific field (Kumar et al. 2021). The ‘Biblioshiny’ analysis output comes in different forms including tables, images, and graphs, which may not exist in other packages (Moral-Muñoz et al. 2020).

Next, to answer RQ2 and RQ3 of the paper. A content analysis was conducted for each article included in our final dataset by at least two of the authors independently. In this phase, first we categorize the main findings and insights emerging from articles and relevant to the scope of the research (Strauss and Corbin 1990). Then, we identify primary research areas that have been investigated by scholars to date by introducing framework-based review (Fig. 8). Moreover, the gaps existing in the literature and potential future research lines were also identified (Takey and Carvalho 2015). Appendix A includes a summary of studies of our sample.

3 Results

3.1 Results of bibliometric analysis

3.1.1 Descriptive analysis

Table 1 provides the descriptive characteristics of the sample articles of the SLR. We reviewed 170 articles from 101 journals that span over 20 years between the years 2003 and 2023, with a 15.22% annual growth rate. Although some articles lacked author keywords, all these journals employed 117 keywords in addition to 365 author keywords. The articles were written by 410 authors in total, with 11 of them being single authored. This demonstrates a strong level of collaboration in ICAC papers with a high index of 2.9. According to the 25.88% documents per author ratio, one document was created by four authors on average.

Table 1 Descriptive characteristics of antecedents and consequences of IC literature

By reviewing the year of publication,Footnote 1 the sample articles of the SLR run from 2003 to the end of 2023 (see Fig. 2). Our SLR statistical results indicate that there has been a significant increase in the number of research addressing different ICAC between 2013 and 2023 compared to pre-2013, since ICAC studies have expanded exponentially (9 times increase compared to pre-2013 timeframe). In specific, seventeen articles have been published before 2013 and 153 articles in total from 2013 until 2023 indicating that the importance of IC increased tremendously, as seen in the number of publications. In specific, in 2013, IC gained popularity as a scholarly domain, investigating concepts and empirical research due to the development of integrated reporting by the International Integrated Reporting Council (IIRC), offering companies an innovative tool for disseminating IC information (Vitolla et al. 2018) causing a rise in the IC publication in the subsequent years. It is worth noting that there were three significant peaks during the period, while the first of which in 2020 (26 articles), the second in 2021 (19 articles), and the third and highest peak in 2023 (36 articles) which all coincides with the special and Open access issues from JIC. Our results are in consistent with Baima et al. (2021) who reported a theoretical phase from 1997 to 2005 followed by an empirical phase in 2003, with the first empirical IC study in 2003.

Fig. 2
figure 2

(Source: Authors’ own work)

The Production of IC-related Publication every year

Figure 3 presents a three-fold analysis of IC with keywords, institutions of publications, and countries of institutional affiliation,Footnote 2 with the purpose of providing insights about how a specific country affects IC field. Italy has the most IC publications (88 articles), with Lum Jean Monnet University producing the largest amount (12 articles). Some universities focus on a limited number of IC terms, while others have a wider range of coverage. Makerere University in Uganda focuses on IC terms, with little attention being devoted to performance. While the University of Salerno in Italy covers various IC terms, such as IC, disclosure, diversity, CG, and performance. The most frequent keywords are IC (97), performance and financial performance (48), IC disclosure (36), and CG (30).

Fig. 3
figure 3

(Source: Authors’ own work)

Three-field analysis of IC linking universities to countries to themes

The top journals producing literature on IC have been identified using the source impact approach. Journal of Intellectual Capital (JIC) ranks the highest with 34 articles published (see Table 2), significantly more than other journals. JIC has increased in publications and citations over the past 20 years, making it important to IC researchers and having a higher quality perception. JIC publishes theoretical and empirical studies on identifying, measuring, and managing IC in organizations, providing novel theories and best practices to enhance conversations among researchers and practitioners (JIC 2021). The Journal of Accounting in Emerging Economies and Sustainability (Switzerland) followed in the second place with only 4 articles each. While Accounting and Business Research, British Accounting Review, International Journal of Disclosure and Governance, International Journal of Islamic and Middle Eastern Finance and Management, and Journal of Applied Accounting Research are all in the third place with 3 articles each. In terms of the number of citations for individual papers, JIC has the highest number of cited IC papers (4360 citations), British Accounting Review Journal is second with 684 citations and Accounting and Business Research Journal is third with 413 citations on IC-related literature.

Table 2 Top ten-journals in IC Literature according to source impact

Figure 4 shows the rise in IC articles in leading journals using Loess' smoothing approach. The study categorizes articles into three types: JIC, which experienced a rapid increase in IC publishing since 2007, British Accounting Review, and Accounting and Business Research, which showed stability after 2008. The third category includes journals with little growth in IC studies, such as Journal of Applied Accounting Research and Sustainability (Switzerland), and International Journal of Islamic and Middle Eastern Finance and Management.

Fig. 4
figure 4

(Source: Authors’ own work)

Trends in IC research in the top journals over time

Table 3 shows the most cited papers on IC. The cut-off date for the citations was recorded in May 2023 corresponding to the date of extracting the CSV file from Scopus database. The cut-off date of the citations establishes the boundary after which citations are not included in our analysis. The top cited papers are as follows: Subramaniam and Youndt (2005), with 4938 citations, examines how IC influences innovative capabilities in organizations. Zéghal and Maaloul (2010) analyze the role of value added as an indicator of IC and its impact on a firm's economic, financial, and stock market performance. Clarke et al. (2011) investigate the impact of IC on Australian firms, while Tseng and James Goo (2005) investigate resource-based and financial perspectives on IC and its application to value creation. These papers primarily study the causes and effects of IC, focusing on its impact on organizational innovation and value creation.

Table 3 Most cited IC papers

Table 4 discusses the top contributors to IC literature based on the H-index. May 2023 is the cut-off date for the H-index values, which usually corresponds with the dates of the analysis and data extraction from the Scopus database. The top contributors are Filippo Vitolla and Nicola Raimo from Italian LUM University. They have the highest H-index and G-index, producing 6 ICAC-related articles with 339 citations. They collaborated on examining the connections between ICD in integrated reports and company value (Salvi et al. 2020a), cost of equity (Salvi et al. 2022), and how the board of directors’ characteristics influences ICD (Vitolla et al. 2020). They developed a new scoring system to measure ICD quality (Vitolla et al. 2020) and investigated voluntary online IC practices in knowledge-based institutions (Vitolla et al. 2018), based on agency and stakeholder theories. Their work on online ICD is based on agency and stakeholder theories. Followed by Mahdi Salehi from Ferdowsi University of Mashhad with 99 citations. He focuses on the effect of ICD, board characteristics (Salehi and Zimon 2021), and financial performance on firm value creation, growth, financial performance, fraud in financial statements (Lotfi et al. 2022), and economic value added (Salehi et al. 2014). Jing Li from the University of Bradford, Muhammad Nadeem from the University of Queensland, and Michele Rubino from LUM University are the next most influential authors, producing 4 IC-related articles with total citations of 595, 191, and 319, respectively. The results indicate that few specialized authors have addressed this topic, urging more scholars to focus on future studies and contribute to advancements in this research field with low barriers to entry.

Table 4 Top authors of IC publications according to source impact

3.1.2 Most prolific countries, institutions, and collaboration network

Table 5 lists countriesFootnote 3 with the most IC-related articles published and the number of citations each author received. Italy has the most IC-related articles, followed by Indonesia, Malaysia, China, India, Iran, the UK, Pakistan, Australia, and New Zealand. These countries have contributed significantly to IC Literature through their universities.

Table 5 Top countries in terms of IC publications and citations

Table 6 lists prominent institutions in IC publications worldwide. Australia has the highest number of citations from published IC work, with 1261 citations from 18 articles. China follows with 1164 citations from 29 articles, and the UK ranks third with 1019 citations from 22 documents. Research primarily focuses on European and Asian businesses, suggesting that American and British academics are no longer the majority in this field. Academics from various cultural and economic backgrounds are increasingly interested in IC. Industry barriers are not a factor in empirical IC research. Table 6 shows that single universities are producing the largest amount of IC publications. LUM Jean Monnet University in Italy and Makerere University Business School in Uganda consistently produce high-quality articles on IC. Ho Chi Minh City Open University in Vietnam and University of Salerno in Italy both comes second with 11 IC-related articles.

Table 6 Most influential universities in IC publications

Table 7 ranks the top ten countries for corresponding authors, with Australia being the top contributor with 19 single-country publications (SCP) and 9 multi-country publications (MCP) resulting in 28 articles on IC. The second is China that has 19 IC articles, with 12 being SCP and 7 being MCP. Followed by Italy (16 articles; 14 SCP and 2 MCP), Malaysia (11 articles; 9 SCP and 2 MCP) and Indonesia (9 IC articles; 18 SCP, zero MCP). While, Table 8 shows collaboration networks between Malaysia, Pakistan, and Yemen, with Malaysia on three IC articles, Spain, and Portugal on three IC articles, and Australia with Portugal and Spain on two IC publications. These collaborations highlight global issues and efforts, requiring collaboration between different countries, although not as extensive as the issues themselves.

Table 7 Corresponding authors' country representation
Table 8 Collaboration network

3.1.3 Examining the conceptual structure- thematic mapping

This section provides an overview of the ICAC literature streams and their associations, highlighting the evolution and pattern of research within the field. The study's co-occurrence network helps identify various subjects covered by the ICAC literature over the suggested period and analyzes these terms on a thematic map. First, Fig. 5 depicts the co-occurrence network analysis, developed by ‘Biblioshiny’ with the R package. It shows 200 author keywords, occurring a minimum of five times in the 170 articles. The bigger the nodes, the higher the frequency; the lines between these nodes represent the co-occurrence. The most included keywords, "performance" and "CG," have the highest total link strength, directing research towards studying the relationship between IC, CG, and performance. The co-occurrence network divides the literature into three main streams: red, green, and blue. The red cluster represents ICAC in terms of antecedents, corporate governance, CEO characteristics, ownership structure, and board gender diversity (BGD), while the green cluster addresses structural capital, relational capital, and HC. The blue cluster represents the broader picture of the IC stream of research, including theoretical basis like agency theory and research methodology like GMM model and content analysis.

Fig. 5
figure 5

(Source: Authors’ own work)

Co-occurrence network of keywords plus that categorizes IC research into three streams

Next, Table 9 displays the top three keywords in ICAC literature: IC, ICD, and performance. These keywords are extensively examined in papers, appearing 97, 36, and 34 times, respectively. Other keywords and their frequency of usage include CG (30 times), HC (16 times), financial performance (14 times), ICD (11 times), and structural capital (times). The analysis of ten most important and frequent keywords in IC-related studies was conducted using co-occurrence analysis technique. Keywords were evaluated using a threshold of 10, hence those that were repeated more than ten times were chosen. Figure 6 shows the word cloud generated by the authors' keyword frequency that validates some important keywords, including IC, ICD, IC performance, and CG. Other identified keywords include corporate social responsibility, gender diversity, integrated reporting, HC, and board of directors.

Table 9 Authors’ Keywords based on Occurrence
Fig. 6
figure 6

(Source: Authors’ own work)

Word Cloud developed by the frequency of authors’ keywords

Finally, the ICAC literature is explored through a strategic structure, a visualization instrument, and a strategic diagram. The strategic diagram is created by considering 200 author keywords and using the 'bibliometrix' package with R software. The themes are classified into four quadrants and four distinct themes: motor theme (high centrality and high density), niche theme (high density and low centrality), emerging or declining theme (low density and low centrality), and basic theme (low density and high centrality). The thematic map (Fig. 7) presents six themes spread across the four quadrants. IC, ICD, ICE, IC Performance, board of directors, gender diversity, HC, structural capital, and relational capital come under the general quadrant and appear as particularly important themes in the interdisciplinary field of IC. Themes in this quadrant have high centrality and low density, indicating that these themes have a lower strength of internal ties, which validates the need for future research to study the subthemes diligently. In contrast, the strength of its ties with the other themes is well developed over the years. Furthermore, the size of the circles exemplifies that these themes are well researched; however, scholarly inquiries into these themes are still required. IC theme is seen to be the largest since the publication period for this theme covers an entire period of more than 20-years. While performance, BGD, intangible assets, integrated reporting, firm value, cost of capital, and green IC come under the niche quadrant and appear as much focused themes, especially important themes in the interdisciplinary field of IC.

Fig. 7
figure 7

(Source: Authors’ own work)

The strategic diagram of ICAC themes

3.2 Results of content analysis

This section aims to refine the output of bibliometric thematic analysis by conducting manual content analysis of 78 highly ranked empirical studies published in Q1 journals. The journal rankings were established based on the SCImago Journal Rank (SJR) for the year 2022 (Gonzalez-Pereira et al. 2010; Guerrero-Bote and Moya-Anegon 2012). Due to occasional fluctuations in journal affiliations with quartiles, we ensured to incorporate rank values from the publication years into our analysis. The content analysis revealed two general groups namely intellectual capital antecedents (ICAs) literature and intellectual capital consequences (ICCs) literature. Our analysis for ICAs literature identifies 33 studies (approximately 42% of the sampled studies) that are divided into three themes including BGD (10 studies or 30% of ICAs studies), CG mechanisms (12 studies or 36% of ICAs studies), and the remaining 11 studies (34% of ICAs studies) were categorized as other antecedents of IC. For the second group, ICCs literature, our analysis reveals 45 studies (approximately 58% of the sampled studies) examined the consequences of IC (only 8 of them are interested in ICD). These studies are further classified into three themes including firm performance (28 studies), firm value creation (11 studies), and other consequences (6 studies). Table 10 lists these studies broken down into different themes. Under each theme, we explicitly distinguish between ICE and ICD studies.

Table 10 The streams of research and themes across sampled studies

3.2.1 ICE and ICD antecedents

According to agency theory, which has been primarily used to examine CG mechanisms (Appuhami and Bhuyan 2015; Shahzad et al. 2022b), internal CG mechanisms can restrict opportunistic management behavior. As an IC explanatory variable, board characteristics are the most frequently discussed topic among the internal CG mechanisms. BGD, board size, board independence, board activity, board subcommittees, and CEO duality were the six basic characteristics that were typically used in previous studies looking into the effects of board characteristics on IC (e.g., Hidalgo et al. 2011; Tran et al. 2020). As previously highlighted, BGD is a topic that receives a lot of attention in the IC literature; hence, we decided to discuss it separately from the other board characteristics.

3.2.1.1 Board gender diversity

According to the upper echelon theory, top management diversity can help board members to have more innovative thinking and more effective strategies (Al-Musali and Ku Ismail 2015; Carter et al. 2003). In addition, the resource dependency theory suggests that BGD enables firms to have critical resources and in return improve their performance (Goodstein et al. 1994). Based mostly on these two theories, studies in this section examined the casual relationship between IC and BGD. Furthermore, the measure of gender is used extensively in the IC literature, except for Prencipe et al. (2023) who relied on nationality to capture the diversity among the members of the board, all other nine articles considered gender diversity.

The results of the first strand of research relating to the effect of BGD on ICE are to some degree competing. For instance, Nadeem et al. (2019) used a UK sample of 3,297 during period of 2007–2016 and reported a significant positive relationship between female representation on boards and ICE. Similar findings by Javaid et al. (2023) demonstrate that ICE rises as the number of female directors reaches a critical mass (three or more). On the other hand, Farooq, and Ahmad (2023) showed that the presence of female director in boardroom has significant negative impact on the ICE. However, Smriti and Das (2022), using two measures to capture BGD, have provided mixed results. Whilst they confirmed a positive effect of female directors on the ICE, the effect of female independent directors was negative. Finally, Prencipe et al. (2023) examined the relationship between two proxies of board diversity and innovation capital as SC. They argued that whereas BGD and innovation capital have a U-shaped relationship, board diversity has an inverted U-shaped relationship. The second strand of research argues that BGD explains the level and qualities of ICD. Most studies exploring this relationship show that the increase in women percentage in board of directors enhances the level of ICD in annual reports (Tejedo-Romero et al. 2017), integrated reports (Vitolla et al. 2020), IPO prospectuses (Nadeem 2020), and websites “online disclosure” (Nicolò et al. 2022) as well as the quality of ICD (Vitolla et al. 2020).

Based on the discussion above, it is important to note that most of the research on the relationship between BGD and ICD have only been published in the last two years, with the exception of the Tejedo-Romero et al. (2017) study, which is the first to examine the effect of gender diversity on ICD. As a result, the link between BGD and ICD is regarded as a relatively recent topic. Given that study on the subject is still in its early phases, this implies that there is still much to learn about the relationship between BGD and ICD. Additionally, studies in this field looked at board diversity using only two dimensions, nationality, and gender diversity, with a stronger emphasis on gender diversity. However, several additional board diversity factors, including tenure (Khatib et al. 2021), age, experience, education, religion, ethnicity, and linguistic diversity, have not been studied. This presents an array of additional study directions to pursue in the future to investigate issues beyond only gender diversity. Furthermore, except of Tejedo-Romero and Araujo (2022) who examined the relationship between HC and BGD, the BGD-IC relationship has been investigated on the overall level using the total score of ICD with less emphasis on the effect of BGD on disclosure of IC individual components.

3.2.1.2 Other CG mechanisms

Board size. Literature offers two opposite arguments on how board size may affect ICE. From the perspective of resource dependency theory, larger boards are more likely to provide larger number of experts (Appuhami and Bhuyan 2015; Mooneeapen et al. 2022) and bring more innovative and transparency practices (Kamath 2019). On the contrary, agency theory states that larger boards may adversely affect board effectiveness in supervising and monitoring (Hidalgo et al. 2011) due to communication problems (Shahzad et al. 2022b), the increase in the time needed to make decisions (Hidalgo et al. 2011), and the increase in the probability of conflict of interest comes to surface. Referring to these two opposite arguments, studies under this stream of research provided mixed findings on several levels. In respect of the overall ICE, Dalwai and Mohammadi (2020) noted positive relationships with ICE. While Shahzad et al. (2022a, b) and Tran et al. (2020) both documented negative effects. Other studies reported insignificant relationship between board size and ICE (Appuhami and Bhuyan 2015; Farooq and Ahmad 2023). Regarding the efficiency of IC individual components, studies reported a significant and positive impact of HC efficiency (Aslam and Haron 2021; Dalwai and Mohammadi 2020) and SC efficiency (Aslam and Haron 2021). In relation to ICD, some studies show a positive impact on the level of ICD quantity (Hidalgo et al. 2011) and quality (Vitolla et al. 2020). Cerbioni and Parbonetti (2007) indicated that board size affects semantic properties of ICD, as firms with larger boards are more likely to provide less historical and more negative ICD. Finally, neither Manes Rossi et al. (2018) nor Nicolò et al. (2021) were able to find significant effect of board size on the quantity or the quality of ICD.

Board independence. According to agency theory, conflict of interest and agency cost can be minimized by monitoring the performance of management to make sure that its actions conform to stakeholders’ interest (Appuhami and Bhuyan 2015). In addition, non-executive directors are normally experts in their fields in a way that enhances the effectiveness of decision-making of board (Aslam and Haron 2021). Consistent with the conceptual argument, several studies reported a positive effect of board independence on ICE whether for the overall ICE (Appuhami and Bhuyan 2015) or for the performance of individual IC component including HC, RC, and SC (Aslam and Haron 2021). On the other hand, ICD studies have focused more on the quantity of ICD and found that board independence positively affects the level of information disseminated about IC (Cerbioni and Parbonetti 2007; Li et al. 2008; Nicolò et al. 2021; Vitolla et al. 2020; White et al. 2007), HC, and SC (Cerbioni and Parbonetti 2007). Only two studies (Nicolò et al. 2021; Cerbioni and Parbonetti 2007) explored the link between board independence and ICD and reported a positive effect.

Board Activity. Reducing agency problems can be achieved by showing the commitment of the board members through frequent and timely meetings and increasing the probability to respond immediately for arising organizational issues (Ahmed Haji and Mohd Ghazali 2013). However, the increase in number of board meetings means introducing additional costs and increase the probability of emerging conflicts among board of directors (Ahmed Haji and Mohd Ghazali 2013). Despite the importance of the board activity variable, only three studies across our sampled studies examined the relationship between board activity and IC. According to Vitolla et al. (2020), more yearly board meetings foster more transparency, which improves ICD quality. Tejedo- Tejedo-Romero and Araujo (2022) reported a U-shape relationship between board activities on HC disclosure, which means that HC disclosure increases with the increase of board activity up to a maximum limit above which there is a decline in the voluntary disclosure of HC.

Board subcommittees. Several characteristics of board subcommittees have been investigated in literature including audit committee size, shariah board size (Aslam and Haron 2021), remuneration committee independence (Appuhami and Bhuyan 2015), audit committee independence (Shahzad et al. 2022b), and audit committee activity (Dalwai and Mohammadi 2020). For example, Aslam and Haron (2021) found that the larger the audit committee size, the higher the HC efficiency, but the lower relational capital efficiency and SC efficiency. Considering ICD, some key studies reported on how board subcommittees can interpret variance in the level of ICD. According to Li et al. (2012), audit committee size affects positively the total ICD index as well as its sub-components (human, social, and relational). Li et al. (2008) reported comparable results. On the contrary, Cerbioni and Parbonetti (2007) found that board committees independence negatively influences the extent of information related to IC, HC, and relational capital but insignificant to SC. While audit committee activity (meetings) had positive impact on ICD, relational capital disclosure, and SC disclosure (Li et al. 2012, 2008).

CEO duality. CEO duality may imply a conflict of interest as it restricts board independence (Cerbioni and Parbonetti 2007), allows CEO to control the agenda of board meetings to put forward his or her own personal interest (Boivie et al. 2011). In addition, CEO duality can result in equipping CEOs with more authorities that inherent the board independence required for restraining the opportunistic behaviors of CEOs (Appuhami and Bhuyan 2015). Studies in our sample provided mixed findings of the relationships between CEO duality and IC. While some studies reported a significant negative effect of CEO duality on the efficiency of HC and SC (Aslam and Haron 2021) and disclosure of IC and relational capital (Cerbioni and Parbonetti 2007), other few studies documented a positive relationship between CEO duality and ICE (Tran et al. 2020) or relational capital efficiency (Aslam and Haron 2021). In addition, Cerbioni and Parbonetti (2007) reported a negative impact of CEO duality on forward-looking ICD.

Ownership structure. Studies such as Tran et al. (2020) stated that ownership concentration is positively related to ICE. Hsieh et al. (2020) found the total IC as well as efficiency increase with the increase in percentage of controlling shareholders up to an optimal point after which the relationship turns to be negative. For ICD studies, results showed that the level of ICD level decreases with the increase in the level of ownership concentration (Li et al. 2008) or institutional ownership (Hidalgo et al. 2011). On the other hand, Singh, and Mitchell Van der Zahn (2008) documented that ICD extent in IPO prospectuses increase when ownership retention at the IPO increases. However, other studies provided no significant relationship between ownership concentration (Dalwai and Mohammadi 2020; White et al. 2007) and family ownership (Hidalgo et al. 2011) with ICD.

To conclude, the literature on this theme has highlighted several CG mechanisms influencing ICE and ICD by emphasizing largely on boardroom characteristics as internal mechanisms. However, several other internal factors that could enhance ICE or ICE are still uninvestigated. For example, despite the importance of incentive structure of CEOs as internal CG mechanism and its role in explaining firm performance (Matolcsy and Wright 2011; Ozkan 2011) and quality of disclosure (Hui and Matsunaga 2015), nevertheless, there is no study that investigate its effect on ICE or ICD. In addition, it is well known that accounting information system effectiveness plays a critical role in managing performance and reporting quality (Alsalim et al. 2016; Amin and Mohamed 2012; El-Feel et al. 2024); even so, its role with IC is not clear. Moreover, contemporary studies recommend considering internal CG mechanisms as a system of interrelated elements (Amin et al. 2021; Hassan et al. 2023); however, the interconnection between CG mechanisms and best composition in relation to IC is ignored among scholars.

Additionally, it is evident that insufficient studies have been conducted to determine whether external CG mechanisms, such as those imposed by regulatory bodies, financial institutions, trade unions, shareholder activism, audit quality, and audit firm type, could enhance ICE and ICD. Furthermore, research on ownership structure has only been conducted using a limited set of measurements, such as institutional ownership, family ownership, and ownership concentration. The impact of other ownership measures, such as state ownership, insider ownership, foreign ownership, and financial (bank) ownership, on ICE and ICD is still unknown. Since there is research that demonstrates how foreign and state ownership can change the effectiveness of investments (Chen et al. 2017), it is crucial to look into how the aforementioned measures affect ICD and ICE. Finally, most of the studies of CG did not consider how industry/sector might moderate the effect of CG mechanisms on IC. Given that there is evidence demonstrating how type of industry can influence the link between CG mechanisms and IC. For example, Dalwai and Mohammadi (2020) examined the effect of CG on ICE in the financial sector and showed that board independence and ownership concentration are significant determining factors of ICE only for banks but not for the other investigated financial subsectors. Similarly, Brüggen et al. (2009) demonstrated that firms associated with the health care and information technology industries disclose more IC information than those associated with other industries.

3.2.1.3 Other antecedents of IC (firm characteristics, performance, and context)

Analyzing studies on this theme reveals several explanatory variables of IC that can be classified into three groups include firm characteristics, firm performance, and firm context. For the firm characteristics, firm size is considered the most examined variable. Brüggen et al. (2009), Nicolò et al. (2021), and Bellora and Guenther (2013) confirmed a significant positive impact of firm size on the levels of ICD extent and quality. Likewise, other studies showed that the quantity of IC related information disclosed is positively associated with company leverage (White et al. 2007), complexity (Manes Rossi et al. 2018). While Li and Mangena (2014) found that ICD tends to be more text in nature for firms with multiple listing.

Regarding firm performance, the sampled studies employed two dimensions of firm performance, i.e., financial performance (e.g., Nicolò et al. 2021; Mardini and Lahyani; 2022) and non-financial performance (e.g., Beretta et al. 2019) to investigate how ICD tone is affected by financial and non-financial performance. Beretta et al. (2019) reported that ESG score as a non-financial performance proxy affects positively the optimistic news of ICD, while the impact of financial performance was insignificant. On contrast, Li and Mangena (2014) found that market-to-book ratio is positively related with numerical and text ICD but not with graphical ICD. Unexpectedly, Mardini and Lahyani (2022) reported negative effect of ROE on disclosure of IC, HC, and RC.

Literature also investigated how ICD varies according to several contextual factors. Regarding sector-based studies, Brüggen et al. (2009) concluded that industry type represents a key determining factor of level of ICD. In addition, Bellora and Guenther (2013) reported that firms in high R&D intensity industries disclose significantly more innovation capital items and to a higher qualitative level than firms in low R&D intensity industries.

Even though earlier research on this topic made a significant contribution to our understanding of IC, more research needs to be done on other firm characteristics, including company growth, stock price movement, industry shock, managerial ability, corporate culture, analysts' coverage, corporate risk, organizational life cycle, organizational competitive strategy, and industry type. For instance, Kucera and Dvorakova (2023) argued to evaluate IC antecedents across each industry as their finding suggests that IC components are more vital for the sustainability of firms in high-tech sector than the traditional industries. The potential impact of a crisis on IC is yet another area of research that has not been sufficiently explored in the sampled studies. Some studies highlighted the role of financial crisis (e.g., Cohen et al. 2014). Still, contemporary significant crisis such as COVID-19 pandemic and Russia-Ukraine War have not explored yet. Finally, our analysis shows that, except for CSR performance and CEOs’ age, connection and ability, the relationship between the theme of “firm characteristics, performance and context” and ICE is still not yet explored. For instance, it remains unclear how firm size, firm performance, market performance, information asymmetry, and internationality and complexity can affect ICE.

3.2.2 ICE and ICD consequences

3.2.2.1 Firm performance

Since the ultimate goal of any entity is to maximize its performance, it is not surprising to observe that approximately 62% of studies on the consequences of IC (28 of 45 studies) are interested in examining the impact of IC on firm performance. Such is done in terms of objective firm performance (18 studies, 40%) that uses secondary data-based measures to calculate firm performance obtained through published data and in terms of perceived firm performance (10 studies, 32%) that uses the firm's perception of its own performance. For objective firm performance, employed measures are from both financial and nonfinancial perspectives. In addition, the sampled studies have differentiated between two main groups of financial measures: accounting- and market-based financial measures. Accounting-based financial measures included return on assets (ROA) (e.g., Díaz-Fernández et al. 2015; Shahzad et al. 2020), return on equity (ROE) (e.g., Clarke et al. 2011; Ginesti et al. 2018), return on sales (ROS) (Vishnu and Kumar Gupta 2014), sales growth, and assets turnover (ATO) (Smriti and Das 2018). While stock market-based financial performance measures included Tobin’s Q (e.g., Dharni and Jameel 2021; Ur Rehman et al. 2022; Zéghal and Maaloul 2010) and stock price crash risk (Probohudono et al. 2022). Some studies have investigated another perspective of performance using firm efficiency (Nkambule et al. 2022; Shahwan and Fathalla 2020; Vidyarthi and Tiwari 2020). However, despite the importance of IC as intangible asset in interpreting non-financial performance, only few studies in our sample have investigated the relationship between IC and non-financial performance measure such as corporate social responsibility (CSR) (Shahzad et al. 2022a), firm reputation (Ginesti et al. 2018), and environmental, social, and governance (ESG) performance (Lestari and Adhariani 2022).

In addition, most prior scholars revealed positive effects of ICE on different dimensions of performance such as profitability performance (e.g., Babajee et al. 2020; Tiwari 2022; Shahzad et al. 2020), operating performance (Clarke et al. 2011; Shahwan and Fathalla 2020), economic performance (Zéghal and Maaloul 2010), and market performance (Smriti and Das 2018). Similarly, ICD is proved to have significant effect on Tobin’s Q (Dharni and Jameel 2021). Considering IC components, empirical results are mixed. For example, several studies showed that capital employed efficiencies (CEE) associated positively with ROA (Tiwari 2022), Tobin's Q (Smriti and Das 2018), employee productivity (Clarke et al. 2011), yet other studies showed negative effect on economic performance (Zéghal and Maaloul 2010). Further, some studies fail to report any significant relation between CEE and corporate reputation (Ginesti et al. 2018). Similarly, HC efficiency is shown to have positive effect on ROA, ROE, and employee productivity (Clarke et al. 2011), cost, revenue, and profit efficiency (Vidyarthi and Tiwari 2020), and firm reputation (Ginesti et al. 2018). Similar results have been reported for the other components of IC such as HC and relational capital.

Regarding perceived performance, scholars used several measures of several dimensions including general performance indicators such as financial, customer, learning, process, (Chatterji and Kiran 2023), green performance (Li and Liu 2018), and organizational performance (Torre et al. 2020), and specific industry performance indicators such as occupancy rate (Ruiz-Fernández et al. 2023), teaching outcomes (Tjahjadi et al. 2019). Such studies reported a positive effect of IC components. For instance, Torre et al. (2020) used three components of IC including HC, relational capital, and organizational capital to examine the relationships between IC and the perceived performance. Their findings indicated that all IC components have a positive effect on organizational performance in hotels. Such results have been reported also for higher education institutions by Chatterji and Kiran (2023) whom they used balanced scorecard perspectives as dimensions for organizational performance. On this track and based on the notion that higher education institutions are considered knowledge-based entities, Tjahjadi et al. (2019) investigated how IC affects the performance in terms of teaching, research, and enhancement of community in Indonesia. They reported that IC has a crucial role not only as an explanatory variable in improving the perceived performance, but also, as a mediator variable between performance management systems and performance of higher education institutions. Innovation performance is another important dimension that has been investigated in relation to IC. Scholars show that IC can boost innovation performance (Rehman, et al. 2023) and affect its types (Subramaniam and Youndt 2005). Another non-financial performance measure that has been investigated is competitive performance. Li and Liu (2018) used three components of IC customer capital, SC, and HC and demonstrate that IC affects competitive performance directly as well as indirectly through problem identification capabilities.

In conclusion, prior studies suggest that IC plays a vital role for a firm’s performance on several levels. However, some levels have received more in-depth research than those of others. Since few studies have focused on nonfinancial performance metrics, the examined literature has highlighted financial performance significantly. Our analysis is supported by the claim made by Van et al. (2022) that further research is needed to fully understand the impact of ICD on a variety of issues, including the performance of the supply chain, innovative performance, ESG performance, sustainability performance, and green performance. An important question here is what is (are) IC component(s) that may enhance a specific type of innovation (i.e., product or process, incremental or radical…etc.). Buenechea-Elberdin (2017) differentiated among innovation output, result, process, and the degree of radicality that opens the doors for several relationships that can be investigated in relation to IC. In addition, a non-linear relationship between IC and firm performance indicators needs to be explored (Le et al. 2022). It is also important to notice that most of the studies investigated only the direct effect on firm performance, while limited studies investigated the mediating role of IC (e.g., Shahzad et al. 2020; Shahwan and Fathalla 2020).

3.2.2.2 Value creation

Several scholars (e.g., Ni et al. 2020; Salvi et al. 2020a; Torre et al. 2020; Vafaei et al. 2011; Wang 2013) consider IC as a crucial factor to increase firm value. The reviewed studies have used different measures for firm value. For instance, net value per share (Wang 2013), market price (Vafaei et al. 2011), free cash flow (FCF) and economic value added (EVA) (Anifowose et al. 2018), and Tobin’s Q which is the most widely used indicator of market firm value (Ni et al. 2020; Salvi et al. 2020a; Tseng and James Goo 2005; Wang 2013). Furthermore, other studies investigated how IC can affect firm value through affecting some related variables such as dividend payout (Battisti et al. 2022) and cost of equity (Boujelbene and Affes 2013; Salvi et al. 2020b).

Most of the research showed that a growth in ICE, together with its components of HC, relational capital, and IC, increases a firm's value (Wang 2013; Ni et al. 2020; Tseng and James Goo 2005). However, such studies showed that other IC components such as organizational capital (Tseng and James Goo 2005), and customer capital (Ni et al. 2020) are insignificant in relation to firm value. Further, Anifowose et al. (2018) empirically examined the impact of IC as well as its components on firm book value measured by two proxies: free cashflow (FCF) and economic value added (EVA). The study's empirical findings had a range of mixed views. The protected capital (also known as intellectual property), on the other hand, showed a significant negative relationship with both proxies of firm book value. On the one hand, the overall ICE has a significant positive impact on firm book value. Meanwhile, HC exhibits a positive effect only on FCF, but insignificant relation to EVA.

Moving to the ICD, most of the sampled studies (three out of five studies) were interested in investigating the effect of increasing the level of ICD on the cost of equity. Salvi et al. (2020a, 2020b) chose to examine only the overall ICD and reported a negative effect on cost of equity through reducing firm risk perceived by investors and boosting firms’ ability to reach external financial resources. On the level of ICD components, Boujelbene and Affes (2013) reported a significant negative relationship between information disclosed about HC and SC with cost of equity. In the same vein, Vafaei et al. (2011) and Salvi e al. (2020b) showed empirically that IC has value relevance role in determining firm value.

On their study, Baima et al. (2021) differentiated between two terms of value including value creation and value capture where alignment between these two faces of value is essential (Sjödin et al. 2020). From this point of view, we can conclude that the sampled studies were only concerned with the outcomes of the value creation process, not the process itself. So, further studies are needed to investigate how IC could enhance value creation process and assist in achieving the “appropriateness” between value creation and value capturing. Sjödin et al. (2020) developed a value creation process framework that hinges on three phases: value proposition definition, value provision design, and value-in-use delivery. An interesting research area would be what role IC can play regarding these three phases. In addition, value creation process could be carried out on several layers reflecting several stakeholders, which implies the need to investigate the role of IC in each of these layers. Finally, how IC could help in finding out the most fit business model for value creation in a specific context is still a debate.

3.2.2.3 Other consequences

Other antecedents have been investigated in the studies we reviewed such as the level of fraud in financial statements (Lotfi et al. 2022), the probability of financial distress (Shahwan and Habib 2020), supply chain agility, collaborative knowledge creation, and corporate sustainability (Al-Omoush et al. 2022), development in management accounting practices (Tayles et al. 2007). In these studies, an encouraging effect of IC has been demonstrated. For example, Lotfi et al. (2022) showed that the higher the ICE level as well as its components, the lower the level of fraud in financial statements of listed firms on the Tehran Stock Exchange (TSE). On this track, Shahwan and Habib (2020) used Egyptian listed firm as a sample and reported that the probability of financial distress decreases, when the level of IC increases. With the purpose of providing in depth view, Ndou et al. (2018) utilized case study approach and collected data from one Albanian private university using various sources such as its website, Facebook page, periodic reports and statements outlining future goals. They concluded that firms adopt ICD practices intentionally especially regarding information about social engagement and regional development. In addition, social media is important when analyzing how universities disclose their IC information.

3.3 An integrated conceptual framework of ICAC

We create a framework for the field (Fig. 8) based on our thorough review of the literature and content analysis, which synthesizes the most recent understanding of the relationships between the antecedents and outcomes of the IC. Regarding the antecedents of ICE and ICD, we identify three main categories: BGD, other internal CG mechanisms, and firm characteristics, performance, and context. Such categories are different drivers of ICE and ICD; however, understating of factors that drive firms to report on its IC may depend on other factors, for instance, organizational life cycle, firm’s profitability, managerial ownership, and ownership type. Additionally, our integrated framework demonstrates how ICE and ICD can affect organizational outcome in a variety of ways, including financial performance, non-financial performance, and other aspects, such as fraud in financial statements, the likelihood of financial distress, supply chain agility, corporate sustainability, and advanced management accounting. The effects of ICE and ICD on organizational outcomes are further influenced by a variety of industry-specific contextual factors. Finally, the relationships between antecedents of ICE and ICD on the one side and ICE and ICD, and organizational outcome on the other are mixed, ranging from positive, negative, to no relationship. With the help of our integrated framework, we can identify research gaps and unexplored areas, which we discuss in the following section.

Fig. 8
figure 8

(Source: Authors’ own work)

Integrated Framework for Mapping the ICAC Field

We may infer from the results of the bibliometric analysis, in specific the co-occurrence, thematic map, and keywords cloud (please see Figs. 5, 6 and 7 and Table 9) that earlier research in the field of IC focused on certain factors that influence ICD and ICE. For instance, gender diversity, board of directors, and other CG mechanisms, as well as the effects of ICD and ICE, such as cost of equity, firm value, and performance. As a result, we may conclude that, in terms of reflecting the work that has been done to date in the ICAC field, our integrated framework (Fig. 8) concurs with the findings of bibliometric analysis. However, neither the integrated framework nor the bibliometric analysis addressed a number of keywords that we highlighted in our future research topics, such as the board of directors members' incentive structure. In conclusion, our framework aligns with current ICAC research trends, but the absence of certain keywords indicates areas needing further investigation and suggests opportunities for future research that could provide novel insights for the field which are presented in the next section.

4 Future research directions

Despite the significant strides made in ICAC research, our SLR has unveiled specific gaps and challenges. These identified limitations not only pave the way for new lines of inquiry but also bring into focus the intricate antecedents and consequences of IC. Echoing the sentiments of recent literature reviews (Alvino et al. 2020; Baima et al. 2021; Bellucci et al. 2021; Buenechea-Elberdin 2017; Chaudhary et al. 2023; Daraio et al. 2023; Esmaeili Givi et al. 2022; Inkinen 2015; Quintero-Quintero et al. 2021), we identify consistent areas of study and potential avenues for exploration. Delving deep into the ICAC domain, we underscore the need for both theoretical advancements and empirical pursuits in specific segments, which we will elaborate upon in the current section. Future research directions presented below can be summarized in Fig. 9.

Fig. 9
figure 9

(Source: Authors’ own work)

A Summary of Future Research Directions

4.1 Future research direction-related to ICE and ICD Antecedents

4.1.1 “Board diversity characteristics” theme

Our analysis revealed future research opportunities in the field of board diversity characteristics. Hence, we provoke scholars to investigate how ICE or ICD could be affected by several board diversity characteristics such as age, experience, education, religion, ethnicity, tenure, and language diversity (Fernández-Temprano and Tejerina-Gaite 2020; Khatib et al. 2021). Still, some of these board diversity characteristics will be more momentous, hence exploring the circumstance where one or more of these board diversity characteristics hold greater importance would be a good opportunity for future research. We also recommend investigating those effects on two levels including the aggregate IC and the individual components of IC. Additionally, Fig. 8 demonstrates that no studies have been conducted yet to examine the connection between female CEOs and ICE. Similarly, the relationship between critical mass female CEOs and ICD is still unexplored area.

4.1.2 “Other CG” theme

Relating to CG, more studies are needed to explore the relationship between IC and CG mechanisms. Whether internal mechanisms such as incentive structure of CEOs (Matolcsy and Wright 2011; Ozkan 2011) and accounting information system effectiveness (Shagari et al. 2017), or external mechanisms such as shareholder activism (Bourveau and Schoenfeld 2017), audit quality, audit firm type (Chen et al. 2019), and several ownership structure factors. Another crucial observation is the inconsistent outcomes in relation to the impact of CG mechanisms on ICE and ICD, as demonstrated in Fig. 8 (e.g., Smriti and Das 2022) which opens the doors for applying meta-analysis method to investigate the effect of one or more CG mechanisms on ICE or ICD.

4.1.3 “Other antecedents of IC” theme

Furthermore, we encourage examining under investigated questions of how firm characteristics could affect the quantity and quality of published IC information as several studies investigate the relation between reporting and variables such as organization life cycle (Kabir et al. 2020) and corporate competitive strategy (Yu et al. 2017). Other scholars suggest investigating factors such as company growth, movement of stock prices, industry shock (Yan 2017), managerial ability (Rajabalizadeh and Oradi 2022), analysts’ coverage (Hinze and Sump 2019). Still corporate risk, corporate culture, and industry type, among others, represent other interesting factors that need to be examined in relation to IC.

4.2 Future research direction-related to “IC Consequences” themes

Our integrated framework (Fig. 8) shows that additional studies are also required to explore the relationship between IC and several nonfinancial dimensions including innovative performance, ESG performance, sustainability performance, supply chain performance, and green performance. Similarly, due to their nature, IC components (HC, RC, and SC) complement each other (Tseng and James Goo 2005), this implies that there are some interdependencies among these components. Hence, an important research question is how one IC component can affect the other components. Still, research did not pay any attention to interrelationships among IC components itself. In addition, the results shown in our integrated framework, relating to the effects of IC components on firm performance and firm value are mixed. As a result, one crucial question that arises is there a suitable composition of IC components that is more appropriate to a particular context than other alternatives.

In addition, due to its role in reducing information asymmetry, several studies in our review reported a favorable effect of increase in the ICD level on cost of equity; however, the effect on cost of debt is still an open question (Mangena et al. 2016). In addition, the moderating effect of ICE on the relationship between ICD and cost of equity could be another future research suggestion. Furthermore, our framework distinguishes between ICE and ICD studies. While the former group of studies is interested in managing IC, the latter group of studies is interested in reporting IC. However, no study has attempted to look into how raising ICE would persuade management to disclose more IC information in line with the signaling theory.

Regarding ICD, all reviewed studies have employed only one disclosing channel –e.g., annual reports, integrated reports, online website, and so on– however there is no study tried to find out what are the more favorable channels for disclosing IC by investigating more than one reporting medium. Additionally, most ICD literature has focused on the level or quantity of information announced, only limited studies investigated ICD tone (Beretta et al. 2019), characteristics (Cerbioni and Parbonetti 2007; Li and Mangena 2014), or quality (Vitolla et al. 2020). This revokes the need for more research to investigate the qualitative characteristics of ICD not just its level. In addition, as Fig. 8 illustrates that no studies have been carried out to investigate the effect of ICD on issues like fraud in financial statements, the probability of financial distress, supply chain agility, corporate sustainability, and advanced management accounting.

Finally, Fig. 8 shows that the relationship between ICE and cost of equity is still not yet investigated as well as how ICD can affect firm book value and dividend payout. Another direction that is underestimated and needs more focus is the nonlinear relationship between IC and other determinants. As illustrated in Fig. 8, analyzing the results of several prior studies indicates the presence of inconclusive and mixed results. For example, the increase of female representation on boards has a positive effect on ICE according to Nadeem et al. (2019) but negative effect according to Smriti and Das (2022). Similarly, the effect HC efficiency on ROA is seemed to be positive according to Clarke et al. (2011), but negative according to Ur Rehman et al. (2022). This opens the door for investigating nonlinear relationships when studying IC variables. This direction of research is supported by results of several studies (Hsieh et al. 2020; Prencipe et al. 2023; Ruiz-Fernández et al. 2023).

5 Conclusion

IC has progressively surfaced as a pivotal asset underpinning firm performance and competitive advantage. Recent scholarly activity spotlights two principal research trajectories: the antecedents of IC and its subsequent outcomes. Within this backdrop, our study introduces a comprehensive SLR that neatly encapsulates and evaluates the trends in ICAC literature, aiming to provide a cohesive view of the current research milieu and pave the way for future explorations.

To achieve the main aim of the study, we examined three research questions. RQ1is concerned with describing the bibliographic characteristics of existing ICAC articles. The study, as a result, analyzed 170 articles published in 101 journals from 2003 to 2023, revealing a 15.2% annual growth rate in the field of IC research. The average number of authors per document was four, suggesting that collaboration among authors is essential for IC research. The Journal of Intellectual Capital is the leading journal in terms of total citations, with 34 articles generated on ICAC literature. Nicola Raimo from Italy is the top author with the most impact on IC research, followed by Subramaniam and Youndt (2005) with 4938 citations. Italy has contributed the most publications (88) by its universities to IC literature, with Lum Jean Monnet University being the top affiliation. RQ2 is concerned with discussing the main themes to ICAC research that are presented in Sect. 4. Our content analysis reveals six research themes that are emphasized in our integrated framework, three of which are related to IC antecedents (BGD, other CG mechanisms, and ownership structure), and three of which are related to IC consequences (firm performance, firm value, and others). The IC antecedents and consequences’ themes, respectively, were given more weight to BGD and firm performance. Furthermore, ICD studies are fewer than ICE research, which goes against earlier literature reviews studies such as Baima et al., (2021) and Esmaeili Givi et al. (2022) that reported that most IC studies have focused on ICD. Finally, RQ3 is based on providing suggestions for potential future research directions in both ICE and ICD, which are discussed in detail in Sect. 5.

The study presents theoretical and practical implications for many interested parties. First, the study is expected to increase the productivity of the scientific community, as our review enables scholars to pinpoint potential research opportunities and key study themes in IC literature. Hence, and consequences of ICE and ICD. Second, the study provides numerous insights relating to factors that firms can follow to improve their ICE or enhance their ICD practices. In addition, it addresses how IC is a critical factor in boosting firm performance on several levels and plays vital role in value creation process and value capture. By doing this, the current study provides the needed incentive for corporate managers to encourage them in investing in IC assets that can be functionalized to competitive advantage. Third, the study also offers implications for policymakers as it emphasizes the importance of ICD for several stakeholders, so they may review their guidelines in accordance with the findings of this study. Fourth, by dividing business practitioners into two categories: those who understand the value of IC resources and those who do not. The first group would benefit from learning how to improve ICE or raise the quantity and quality of ICD. Therefore, knowing how ICE and ICE are determined would be of great value to them. Practitioners who are indifferent towards ICE and ICD might change their viewpoints after learning how they could enhance business performance and create competitive advantages.

While our study offers a robust foundation, inherent limitations present fertile ground for future inquiries. The scope of our review, limited by keywords, linguistic barriers, and database constraints, necessitates broader future explorations. Additionally, nuances like industry differentiation, theoretical anchoring, and IC measurement techniques remained uncharted. As a subsequent avenue, a more immersive, qualitative inquiry, enriched by practitioner perspectives, could further deepen the ICAC narrative, providing an alternative to our positivistic lens.