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Many firms struggle to implement strategies that can successfully enhance the environmental sustainability of their processes. Drawing on the theories of green intellectual capital and complementary assets, this study develops a model describing the mechanism whereby firms can translate a green (i.e., environmental) strategy into a superior green process innovation performance (GPIP).

Regression analysis of multi-source survey data collected from 514 managers at 257 firms (257 top management members and 257 safety or environmental managers) was used to test the hypotheses.

A firm's green strategic intent has positive effects on the three aspects of green intellectual capital (i.e., human, organizational and relational capital). In turn, these three aspects have positive effects on GPIP. Moreover, green organizational capital positively moderates the effect of green relational capital on GPIP, whereas it negatively moderates the effect of human capital on GPIP.

In order to implement a green strategy successfully, especially in polluted industries such as the chemical industry, managers need to develop not only the firm's tangible resources but also its intangible resources. The more they invest in green organizational capital, the higher the level of GPIP that can be achieved. On average, a firm's green human capital is more important than its organizational and relational capital. Moreover, its organizational capital helps capture the benefits of its relational capital, but it impairs the creativity of its human capital.

The authors contribute to the literature on green strategy implementation by suggesting that green intellectual capital plays a mediating role in the relationship between a firm's green strategic intent and GPIP.

The purpose of this paper is to examine the impact of intellectual capital and its components on bank diversification choice.

Both asset and income diversification are computed and an unbalanced panel data set of 32 banks covering the period 2000–2015 have been used. The panel corrected standard error regression has been used to account for serial correlation and heteroscedasticity.

The study found that intellectual capital determines the choice of diversifying. Precisely, intellectual capital motivates asset diversity but it dissuades income diversification. Human capital and structural capital are major components that determine asset diversity decisions. Income diversification decision, in this case to choose a focus strategy, is determined by human capital. This gives credence for the human capital theory in Ghana. Competition encourages a focus strategy. Bank size and leverage enhances income diversification while stock exchange listing and government ownership fosters the focus strategy.

Diversification strategy, knowledge base of staff, corporate governance and internal control have been considered as factors leading to the collapse of some Ghanaian banks in 2017–2018. The study provides relevant insights for regulators, decision support units and corporate boards. Intellectual capital and value added metrics should be used for modelling and decision making as they have value relevance.

This is a premier study that has examined the nexus between diversification strategy and intellectual capital in banks.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.

The purpose of this paper is to examine whether income diversification moderates the relationship between human capital and bank performance.

The study uses a sample of 53 banks and panel data for the years 2010–2018. The hypotheses are tested through hierarchical multiple regression and the choice between fixed effect and random effect estimation is based on the results of the Hausman test.

The study finds that human capital and income diversification significantly influence bank performance; however, the direction of the causality varies. While human capital has a positive effect, income diversification has a negative effect. Additionally, the interaction term has a negative and significant effect on bank performance, inferring that income diversification has an antagonistic effect on the human capital and bank performance relationship. For the control variable, liquidity and asset quality negatively affects bank performance while capitalization has a positive effect.

Human capital was measured as human capital efficiency (HCE), which is a quantitative measure of human capital, hence future studies can use qualitative measures. Also, the study focused on commercial banks in East Africa, future researcher may possibly consider other regions and industries, which would shed more insights.

The results of this paper provide valuable insights. Bank managers can get a better understanding of the impact of human capital on bank performance, and the need to invest more in human capital development. Further, the study cautions bank managers that engaging in non-lending activities might destroy the economic value of human capital and ultimately lower performance. The study also recommends that policymakers should address the obstacles to banks' income diversification, for instance relaxing regulations restricting diversification; this might enable banks to leverage related financial service activities for optimal utilization of human capital and improve banks' profitability.

While a good number of previous studies investigated the direct effect of human capital and income diversification on the performance of banks, this study examines the moderating role of income diversification on the relationship between human capital and performance of banks in East Africa.

The purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness.

Drawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies.

The results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance.

The findings have implications for behavioral supply chain management research and implications for educating and training the supply chain management workforce. While the populations represent a diverse set of logistics functions and responsibilities, the participants are all military members, which may limit generalizability.

This study should help leaders understand the importance of learning culture and the perceived differences in its effect on human capital based upon workforce level.

This research is among the first to investigate the role of workforce level and answers a multitude of calls for research into the human side of supply chain management.

The study empirically investigates whether the board of directors' expertise in the focal firm's industry has implications for innovation input. Additionally, it explores how this relationship is shaped by the CEO's educational level and background in the technology area.

The article tests the hypothesized relationships through the Arellano–Bond generalized method of moment estimators, proxying innovation input by R&D to total sales. Moreover, it analyses a sample of privately-held Italian medium and large high-tech companies observed over four years by relying on a unique hand-collected dataset.

The research documents an inverted U-shaped relationship between board industry expertise and innovation input and shows that such curvilinear effect is moderated by the CEO's educational level and technology background. Specifically, while the curvilinear slope is less steep for highly educated CEO, it becomes steeper in the presence of technology trained CEO.

The paper recommends how to shape the board human capital as a meaningful driver of board effectiveness and innovation. Additionally, it calls the managerial attention towards the interaction and the interplay between board industry expertise and CEO education as able to influence the above-mentioned outcome.

While previous studies have focused on the linear and positive effect of board industry expertise on innovation, this research advances current knowledge in innovation management literature by testing the presence of a curvilinear relationship. Moreover, by exploring the moderating effect of CEO education, the paper provides a comprehensive picture on the interplay among board industry expertise, CEO educational training and innovation input.

Given the importance of immigration and immigrant entrepreneurs in advanced economies, the authors take an entrepreneurial ecosystem perspective to study the home-country benefits possessed by immigrant entrepreneurs and how home-country entrepreneurial ecosystem factors affect immigrant entrepreneurial motivations, activities and outcomes.

This conceptual research paper follows McGaghie, Bordage and Shea's (2001) four-step new theory creation process, which suggests that new theories can be created through facts extraction from the extant literature.

The authors propose that although immigrant entrepreneurs are unable to take full benefit of the host-country entrepreneurial ecosystem due to blocked mobility, they do have capabilities to access and use their home-country entrepreneurial resources and opportunities. The authors further propose that home-country entrepreneurial capital can be systemically analyzed through the framework of the entrepreneurial ecosystem. The results imply that immigrant entrepreneurship as a social and economic phenomenon can be studied more holistically from both host- and home-country perspectives compared to the traditional research boundary of the host-country only.

The research focuses on the identification of home-country effects on immigrant entrepreneurship through the lens of the entrepreneurial ecosystem. Testable propositions provide directions for future empirical research on the field of immigrant entrepreneurship from a home-country perspective. The research concludes that a holistic immigrant entrepreneurship study should consider dual (host- and home-country) entrepreneurial ecosystems.

Immigrant entrepreneurs benefit from both host- and home-country entrepreneurial ecosystems. This paper suggests co-effects of dual entrepreneurial ecosystems lead to a high rate of entrepreneurship and business success within some immigrant groups. Policymakers can increase economic activities by developing and deploying programs to encourage immigrants to embed in host- and home-country entrepreneurial ecosystems.

Based on the framework of the entrepreneurial ecosystem, this paper brings a novel perspective to examining home-country effects on immigrant entrepreneurship. It theoretically conceptualizes that immigrants have higher entrepreneurship rates than native-born populations because they have access to extra home-country entrepreneurial capital.