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The intangible assets are important today as knowledge and innovation are the key drivers to long‐term business competitiveness. In other words, this competitiveness requires the productive use of the intangible assets. Thus, measuring productivity should underline their importance within an organization. Therefore, the study aims to examine whether the intellectual capital or IC can be used to support productivity measurement.

The research methodology consists of two stages, derived from the management process which deals with measurement and analysis. The first stage tests the interrelationships between productivity (namely value‐added labor productivity) and the IC. This test is based on a company's financial reports and the IC survey. The second stage focuses on better understanding on how IC can be analyzed. Altogether ten leading manufacturers, with 270 executives and managers, have participated in the survey. Important statistical techniques such as Pearson Correlation are integrated. Moreover, the consideration into the validity of the survey items (e.g. the non‐respondent bias analysis) is illustrated.

Because of the significant relationships between the IC and value‐added productivity, measuring the IC can strengthen ongoing productivity measurement efforts on a firm's intangible assets. In other words, the IC can become a surrogate for productivity measurement. To assist the IC analysis further, the IC is positively influenced by innovation, learning organization, knowledge management, and self‐directed learning, respectively. In other words, the innovation appears to have the highest impact on the IC level while the ability of an organization to learn and to apply knowledge also has considerable influences.

The emerging use of the term value‐added highlights the importance of IC within the context of productivity measurement. Past studies have focused on relating some the IC components such as innovation and quality of work life to the productivity level. This study attempts to look at the IC in a more comprehensive manner.

The paper is based on a project with the Department of Industrial Work (DIW) in Thailand for promoting intellectual capital (IC), which aims to boost the country's long‐term industrial competitiveness. The purpose of this paper is to focus on examining the interrelationships between IC and economic development (i.e. GDP per capita) in Thailand and other neighboring countries in Southeast Asia. The second objective is to identify the IC targets to help enable the DIW to propose future policy initiatives relating to IC.

The key steps include a selection of IC indicator(s) to assess IC impacts on the country's economic development. There are five countries (Indonesia, Malaysia, the Philippines, Singapore and Thailand) to be examined for the IC impacts due to their economy sizes. The methodology involves statistical analysis for understanding the interrelationships and identifying the IC targets for Thailand and the future policy initiatives are derived through the review discussion with DIW administrators.

Initially, two IC indicators were selected. However, only National Intellectual Capital Indicator (NICI) was statistically significant to the GDP per capita. A further examination revealed that the NICI target for Thailand and a remaining three countries needs to reach 5.0, in order to move from the efficiency‐driven to the innovation‐driven stage. The economic development stages are outlined by the Global Competitiveness Report (published by World Economic Forum) which indicates a GDP per capita over $US 17,000.

The paper underlines the need for the DIW to continue a development of the IC‐related performance indicators for local firms, in both manufacturing and service sectors. In the past, the DIW has encouraged them to primarily measure quality and productivity (including Economic Value Added) as their key non‐financial area. The IC‐related indicators may emerge as one of several alternatives for productivity and quality measurement.

The aim of this paper is to raise an awareness of intangible assets among large manufacturing firms in Thailand. As a result, the research is to examine empirically the effects of intellectual capital (IC), and its key components (e.g. human capital, structural capital, and innovation capital) on a manufacturing firm's industrial operations and performance.

The required data for this research are collected from leading manufacturing firms' annual reports. These firms are listed in stock exchange of Thailand 100. The value added intellectual coefficient (VAIC) is adapted to measure IC. Then, the co‐relation analysis and multi‐regression model are applied to learn more about the roles of VAIC and its impacts on a manufacturing firm's performance.

IC positively and significantly affects a manufacturing firm's performance. It impacts all four performance indicators under study, i.e. return on equity, return on assets, revenue growth, and employee productivity. In addition, based on the relatively high adjusted R², human capital exhibits the relationships with employee productivity.

The findings highlight the role of IC in strengthening a manufacturing firm's long‐term competitiveness advantage. The results from the paper have helped develop policy initiatives for Department of Industrial Work in Thailand such as tax scheme and incentives for R&D spending, promotion of university partnerships for R&D, and training for more effective knowledge management practices.

The authors investigate conditions that drive innovation performance in foreign-owned subsidiaries. The authors study five variables affecting innovation performance: organizational agility and digital capabilities as the main drivers and competencies and embeddedness in internal and external networks as complementary antecedents of innovation.

The authors draw on the neo-configurational perspective and apply fuzzy set qualitative comparative analysis (fsQCA) to empirically test survey data from subsidiaries located in the emerging economies of Thailand and Vietnam.

While the authors find no single condition on its own determining innovation performance, the authors do find that in concert they form four configurations of high innovation performance. The results indicate that all configurations contain competencies, as well as that subsidiaries should prioritize between internal and external networks to complement agility, digital capabilities, to achieve high innovation performance. The authors also reveal intriguing contextual differences in the innovation performance configurations between the two host countries.

By incorporating causal complexity as well as substitutability and complementarity of innovation drivers, the authors extend the current understanding of subsidiary innovation performance outcomes.

The purpose of this study is to explore the moderating role of information technology (IT) practices in the increase of organizational capacity for generating innovation performance from its relational (internal and external) capital and trust capital.

Survey data has been collected from 102 publicly listed enterprises in Taiwan and is analysed by using symmetric structural equation modelling–partial least squares (SEM–PLS) and asymmetric fuzzy set qualitative comparative analysis (fsQCA) techniques.

The findings derived from SEM–PLS show that internal relationships and trust embedded in firms' relationships play a significant role in the innovation performance of Taiwanese enterprises, and reveal a more closed approach to innovation. The results also confirm the important role of IT advancement in amplifying the effect of internal and external relationships and trust formation on innovation performance. One more interesting note, the integration of fsQCA demonstrates several configurations that lead to superior innovation performance.

The study was limited to Taiwanese companies with at least 200 employees. It might well be that the economically significant small business sector has distinct relationships with stakeholders, trust building strategies and IT practices, and that innovation performance depends on other macroeconomic effects. This study combines symmetric (SEM–PLS) and asymmetric (fsQCA) techniques to improve our understanding of the complementarities between relational and trust capital, and IT practices, and identify configurations that could yield organizational benefits for innovation outcomes.

This study provides new knowledge about IT utilization in the workplace which practitioners may use to capitalize on internal and external networks and enhance innovation performance.

Exploring together intellectual capital (IC) components and IT practices, this study merges IC and knowledge management (KM) streams of literature and adds to the prominent discussion on how IC and technology-based KM together contribute to superior innovation performance. In introducing the notion of equifinality, and testing our hypothesis by applying fsQCA, we also provide new ground for methodological discussions in the field of innovation performance.

Given the importance of frugal innovation for small and medium-sized enterprises (SME) in developing countries, this study aims to explore the role of IT resources on frugal innovation through the mediating roles of knowledge sources and to what extent the relationship between sources of knowledge and frugal innovation is strengthened or weakened under the moderating effects of market turbulence.

This is an empirical study. Data were gathered from 355 SME employees of Pakistan through a questionnaire survey; the variance-based PLS-SEM approach was used to analyze the data.

Findings reveal the significant impacts of IT resources on different aspects of frugal innovation, namely, frugal functionality (FF), frugal cost (FC) and frugal ecosystem (FE). Moreover, the paper highlights the mediating roles of sources of knowledge in the relationship between IT resources and frugal innovation in frugal functionality and frugal cost. Findings also revealed that the moderation of market turbulence strengthens the effects of sources of knowledge on frugal functionality and ecosystem, but surprisingly weakens the relationship between sources of knowledge and frugal cost.

To bring a deeper understanding of the significant role of IT and knowledge sources, future research should examine the potential moderating role of environmental factors or perceived organizational support or mediating role of knowledge management processes in the relationship between IT resources and frugal innovation.

The paper provides a valuable understanding and novel approach for directors of SMEs in developing countries to improve their frugal innovation capability through IT and knowledge resources.

This study contributes to bridging research gaps in the literature and advances how IT resources, directly and indirectly, help firms improve frugal innovation capability via mediating roles of sources of knowledge.