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The purpose of this study is to explore the relationship between digital transformation and excess employees. This research investigates the questions of when human−machine synergy can be achieved after a firm goes through digital transformation and whether there will be excess employees in the interim.

This paper takes A-share listed companies as research object in the period of 2011−2020 and a total of 24,718 samples are obtained. Hypothesis testing and regression analysis are performed in STATA.

This paper finds a human−machine mismatch in the short term, as evidenced by an increase in the rate of excess employees; however, with the progress of digital transformation, it can drive the achievement of human−machine synergy in the long term, and management efficiency plays a mediating role in this process. Further research showed that the effects of digital transformation on the number of employees, revenue generation per capita and profit generation per capita varied in both the short and long term. In addition, the characteristics of the company affect the relationship between digital transformation and excess employees.

This paper contributes to the understanding of the impacts of digital transformation on the human capital structure of companies at a micro level. It also provides insights into how to improve human capital demand structure through digitalization, thus providing insights into labor market changes.

This paper aims to delve into the nuanced relationship between corporate governance dynamics, human capital disclosure and their impact on the competitive positioning of Japanese listed companies. The study primarily examines how these factors influence employee engagement, a critical determinant of overall business competitiveness.

Panel data for Japanese listed companies for FY 2019 to FY 2021 were analysed using multiple regression analyses with two models.

The results indicate that the presence of independent and female board members has a positive impact on human capital disclosure. Surprisingly, employee engagement was found to be negatively related with human capital disclosure, signifying a potential trade-off between transparency and engagement.

Amidst the escalating emphasis on non-financial information and corporate social responsibility, this paper unveils a previously underexplored aspect of Japanese corporate competitiveness. Specifically, this study offers a fresh empirical perspective on the relationship between corporate governance, human capital disclosure and employee engagement in Japanese listed companies, a topic with limited academic research and no legal regulations in Japan. The findings have significant implications for companies seeking to enhance their human capital disclosure and employee engagement practices, especially in light of the growing focus on non-financial information and social responsibility.

In this study, the moderator effect of the use of big data by Turkish banks on the innovation performance of the intellectual capital components, human capital, structural capital, and relational capital is discussed.

In the research, 618 survey data applied to bank employees and weighted according to population in seven regions were used. The data were analyzed through the structural equation model.

According to the empirical results, intellectual capital components and big data usage explain 65% of the variance in innovation performance. It has been determined that the other two components of intellectual capital, except structural capital, have a statistically significant effect on innovation performance. According to the Standardized Regression Weights, one unit change in human capital affects innovation performance by 0.162, and one unit change in relational capital affects innovation performance by 0.244. In addition, a one-unit change in big data usage affects innovation performance by 0.480. It has been understood that the use of big data significantly affects the innovation performance of banks with a rate of 0.480.

Although this study is important, it could have been done with senior managers instead of being based on a survey. Instead of a survey, it could have been done with a data set taken from banks' balance sheets and tables. Additionally, the use of big data has been considered as a moderator but can be reconsidered as a mediator or external construct. Moreover, this study was conducted on a sample of participants working in the developing Turkish commercial banking sector. Therefore, the results of the study can be done in different countries and at different development levels.

The study is one of the first studies to examine the moderating effect of intellectual capital by considering its subcomponents in a developing country. In addition, it is thought that the results will contribute to managers, policy makers and researchers who want to increase competition and market share in the sector, as well as filling the gap in the literature.

This study aims to work toward understanding the entrepreneurship ecosystem of agricultural social enterprises in the Philippines by exploring the interactions between policy, culture, supports and human capital domains.

The authors considered using an exploratory single-embedded case study approach, involving methodological triangulation of document analysis, semistructured interviews and participant observation. The authors analyzed the data using a narrative approach to map the ecosystem.

Through the research, the authors discovered that while each domain functions effectively individually, disconnects exist when interacting collectively as an ecosystem. The authors come to know that there is no policy consensus on social enterprise definitions, which limits specialized policy support. Although support services like incubators are available, the authors observed that awareness and accessibility vary based on location and business maturity. The authors also noted that human capital helps translate concepts into frameworks, but research tailored to agriculture and social entrepreneurship is limited. The authors come to the conclusion that collaboration and openness across domains are needed to strengthen connections and synergies.

The study was geographically limited to Luzon Island, and the authors did not include the finance and markets domains of the ecosystem model in the analysis.

Based on the findings, the authors identify strategies to reinforce connections, such as increasing awareness of support services, developing tailored policies for social enterprises, conducting specialized research and promoting collaboration across domains. The authors are convinced that implementing these strategies can further develop the agricultural social entrepreneurship ecosystem.

The study provides unique empirical insights into the agricultural social entrepreneurship ecosystem in the Philippines. The authors captured the narratives and experiences of key ecosystem stakeholders along the process. The authors have confidence that what the authors found can strategically guide policymakers and support organizations, educational institutions and social entrepreneurs to accelerate ecosystem development for greater social impact.

This paper aims to examine the effects on firms' outcomes of a new government regulation on the private security industry that aimed to enhance the selection and training processes for armed-private security officers.

By using human capital theory and using a data set built from various public sources, this study analyzes the effects of a new regulation implemented in 2013–2014 in Brazil mandating psychological assessments for hiring private security armed officers. Firm-level data and a Difference-in-Differences (DiD) identification strategy are used to investigate the effects on turnover and human capital outcomes.

The study identifies substantial changes resulting from the new government regulation in private security firms. While it has led to increased turnover rates, the regulation has also facilitated firms in enhancing the human capital composition of their workforce by enabling the recruitment of more experienced personnel.

This research informs to current debates on the effects of policy interventions on firm's outcomes by showing how regulations aimed to improve the configuration of human capital can generate win-win situations for both firms and citizens, despite the short-term trade-offs between higher turnover rates and improved human capital outcomes.

Refining selection and training processes can enhance the workforce in private security firms by replacing less capable professionals with more experienced ones. Insights from this study offer guidance to policymakers and industry practitioners in shaping effective business and public policies.

This study underscores the role of training and psychological assessments in enhancing the composition of human capital in the private security industry.

By highlighting the role of policy interventions in establishing barriers to unskilled workers engaging in hazardous activities, this study contributes to the burgeoning literature in strategic management on the interaction between policy interventions and firm outcomes.

The aim of this paper is to shed more light on the foreign direct investment (FDI) - income inequality nexus in the post-communist EU countries. Special attention is paid to the emergence of a new meritocratic elite related to foreign capital that tends to replace the old elite inherited from the transition period at the top end of the income distribution.

The macroeconomic model of the relationship between income inequality and FDI is estimated by using the generalized method of moments (GMM) technique. The sample includes 10 post-communist EU member states during the period 1993 to 2020.

The results suggest that the concentration of the highest level of human capital in foreign-owned enterprises, in the institutional environment under which foreign-owned enterprises are less numerous and pay a higher wage than domestic ones, contributes to the change of the effect of FDI and human capital on income distribution from an initial decrease to a later increase in income inequality.

This paper adds to the existing literature by exploring the distributive impacts of sectoral reallocation of FDI inflows from manufacturing to service sectors from the perspective of heterodox economics. It specifically examines how this shift has facilitated the emergence of a new meritocratic elite associated with foreign capital, which in turn diminishes the overall anti-inequality effect of FDI in the post-communist new EU countries.

This paper aims to examine the influence of supply chain management by assessing the relationship between internal and external integration and small and medium enterprises (SMEs) owners’ Islamic practices in enhancing halal supply chain integrity (HSCI) and SMEs’ performance.

A total of 176 SMEs were surveyed using a self-administered questionnaire. The sample was selected using convenience sampling from two major halal exhibition events in Malaysia. Structural equation modeling (SEM) was used to analyze the data and test the hypotheses.

The findings showed that supply chain integration (SCI), Islamic human capital and HSCI have a significant relationship with SMEs’ performance. It was also found that HSCI mediated the relationship between both SCI and Islamic human capital and SMEs’ performance.

SME owners or managers should be committed to developing the internal processes within the organization and strategizing to link these processes with the external processes to obtain the full benefits of integration. Furthermore, as the upper management, owners and managers must understand the supply chain challenges, priorities and practices thoroughly, as they are responsible for Islamic business ethics. They should work to provide support to increase religious orientation in the SMEs, as this would likely enhance all other factors.

This is one of the few types of research to use HSCI as a mediator in halal food studies in addition to improving SMEs’ performance.

This literature review aims to explore the various aspects of psychological capital (PsyCap), including its theoretical foundations, measurement methods, and the factors directly associated with PsyCap.

The approach employed in this study is scientific document synthesis, with a specific emphasis on scholarly articles published between 2001 and 2023. The selection of articles is limited to those published in internationally renowned journals that are indexed by reputable databases, including ISI (WoS) and SJR (Scopus).

Psychological capital is closely linked to other concepts at different levels. Scholars are investigating various factors associated with PsyCap, including health, project success, service marketing, banking services. It is important to note that different research areas have varying conceptualizations and scales when it comes to PsyCap.

This literature review of related studies reveals a growing global interest among researchers in the concept of positive psychological capital. The research results have shown significant interest in the items related to PsyCap, and and the factors directly associated with it, including antecedents, mediators, moderators, and outcomes.

The primary purpose of this study is to explore the effect of technical changes on provincial-level income inequality in Vietnam. The authors also investigate whether the quality of institutions and human capital level moderate this relationship.

This research applies the fixed-effect and random-effect models on a balanced panel data set of 63 Vietnamese provinces/cities from 2010 to 2020.

The study’s empirical results show that technical improvement has a nonlinear influence on income disparity in Vietnamese localities. When the local level of technology is limited, technological change can mitigate income disparity. However, as local technological levels increase, inequality tends to rise. Moreover, the study also reveals that the quality of a province’s institutions and the level of human resources are factors that moderate the correlation between technological change and income inequality. For provinces with better institutional quality and/or better human resources, inequality tends to decline under the impact of technological change.

The results of this study suggest that while encouraging technology advancement, localities should also ensure sustainable development, reduce income inequality and focus on improving institutional quality and human resources development.

There are increasing concerns about the impact of technical change on inequality in income distribution; however, empirical evidence on this relationship in developing countries remains scarce. This study is among the few attempts to examine this issue at the provincial level of a developing country considering the moderation effect of institutional quality and human capital level.

The purpose of this study is to examine the effect of the efficiency model on firms performance. The authors also strive to test the compatibility of the efficiency models of Sharia and non-Sharia manufacturing firms.

The samples are manufacturing industry firms listed on the Indonesia Stock Exchange from 2013 to 2021. This study used 68 firms, with details of 34 Sharia while the remaining 34 were non-Sharia. The data were analyzed using generalized least square (GLS) to test the entire formulated hypothesis. Moreover, current research provides robustness tests to gain more valid and reliable results.

The results demonstrated that cost efficiency (CE), human capital efficiency (HCE) and capital intensity (CI) affect the firm’s performance. The efficiency model is more appropriate to be applied to the manufacturing Sharia firms in Indonesia. The results are robust even though the feasible GLS and panel-corrected standards errors models are added and a split sample is applied based on certain firm characteristics.

This research can bridge the theory and practice that exist in companies. The authors proposed an efficiency model that can maximize firm performance profits. Moreover, it turns out that the efficiency model is more relevant to be applied to Sharia firms in Indonesia. Furthermore, the research findings have several implications notably for theoretical development, global enterprises and practitioners.

This study expands the literature and discussion about the efficiency model by formulating and investigating CE, HCE and CI on the firm performance which previous studies have rarely elaborated on and tested. In addition, the authors divided the sample into two groups (Sharia and non-Sharia firms) to ensure the compatibility of the implementation of the efficiency model on firm performance.