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Development has been a long-age phenomenon from the millennium to sustainability. This is because the new millennium ushered in the episode of development in the global economy from the role of inputs to the role of productivity and knowledge. Thus, understanding the forefront of initiatives to develop better policies for better lives and to find fact-based answers to social, economic, and environmental problems becomes unavoidable.

The study therefore assesses the impact of labor productivity and investment decisions on human development. A modified production theory was adopted for OECD economies. To address the problem of endogeneity and cross-sectional dependence, a two-step system generalized method of moments, Driscoll–Kraay estimator, and Panel Corrected Standard Error were used.

The findings reveal that the impact of labor productivity on human development differs significantly from the impact of investment decisions. The result shows that investment decisions will have a positive impact on human development when there is an insignificant capital fixed formation to boost the productivity of OECD economies. Further, the result shows that the organization governments through the provision of social security and essential services have a positive impact on the OECD human development.

This study has contributed significantly to assessing the drivers of human development within the purview of labor productivity, investment decisions and government expenditure in OECD countries.

The majority of MENA countries suffer low levels of human development, coupled with scarcity of funding resources, low level of governance, and poor institutional environment. Consequently, this research aims at detecting the impact of development finance resources and institutional quality on the human development in the MENA region, in order to examine if/why the MENA countries fail to efficiently exploit all the available financial inflows to promote human development and boost living standards.

This study tests the short- and long-run impact of six financing resources representing injections in the economy and four institutional quality variables on the human development index in the MENA region. It adopts co-integration analysis, vector error correction model, and Granger causality test on a sample of 13 MENA countries over the period 1996–2019.

This research finds that domestic credit to private sector and exports of goods and services do not have any significant added value for human development in the MENA region. In contrast, government expenditures and migrant remittances are found to be crucial in promoting human development in both the short- and long-run. FDI and ODA do enhance human development, but only in the short-run. In parallel, control of corruption, government effectiveness and regulation quality are essential boosters of human development in the MENA region, but with different importance, while political stability was found to be irrelevant.

To the authors’ best knowledge, this is the first study that examines the impact of financial inflows and institutional quality on the overall human development index in the MENA region. The contribution of this paper lies in unlocking for policymakers the potential impactful financing resources to serve national developmental plans, in an endeavour to catch up to the SDGs amid the additional challenges imposed by governance and institutional environment.

The purpose of this study is to investigate the influence of green finance on human well-being in China in the context of urbanization and aging population. It aims to explore the contributions of green finance in such demographic scenarios.

This study innovates and optimizes the calculation of the carbon intensity of human well-being (CIWB) index and strengthens the integrity of the assessment model for green finance development. It uses the serial multiple mediator model and moderation effect analysis to address the impact of green finance on human well-being in China on the provincial level from 2009 to 2020.

Green finance has a significant, positive and direct impact on human well-being. Simultaneously, it influences human well-being indirectly through three transmission channels. Urbanization and an ageing population are significant individual mediators through which green finance contributes to human well-being improvement. Notably, these two mediators also work together to transfer the promotional impact of green finance to human well-being.

The government can perfect the regulations to strengthen the market ecosystem to accelerate the development of green finance. Reforms on the administrative division to expand the size of cities with the implementation of ageing friendly development strategy is also necessary. Attracting incoming foreign direct investment in sustainable projects and adjusting public projects and trade activities to fulfil the sustainable principles are also regarded as essential.

The findings challenge traditional views on the impact of aging populations, highlighting the beneficial role of green finance in improving well-being amidst demographic changes. This offers a new perspective on economic and environmental sustainability in aging societies.

A multi-dimensional well-being indicator, CIWB and the serial multiple mediator model are used and direct and indirect impacts of green finance on human well-being is exhibited. It offers novel insights on the transmission channels behind, identifies the mediating role of urbanization and ageing population and offers empirical evidences with strong academic and policy implications.

Human development is critical for fostering economic growth and development. Given the importance of human development, this study examines the asymmetric impact of Foreign Direct Investment (FDI) on human development by decomposing total FDI into positive and negative shocks in five South Asian countries from 1990 to 2021.

The study uses the panel Non-linear Autoregressive Distributive Lag model (NARDL) to examine asymmetric long and short-run effects of FDI. Further, the direction of causality between HDI and FDI is examined using the recently developed (Joudis et al., 2021) panel granger non-causality test.

The positive and negative FDI shocks positively impact HDI, but positive shocks have a higher effect than negative shocks in the long run. The Wald Test rejects the long-run symmetric effect, confirming the asymmetric relationship between FDI and human development. More importantly, causality results reveal the FDI-led HDI and HDI-led FDI development in South Asia.

FDI should be encouraged by formulating a well-tailored policy intervention. The development policies should be interlinked with FDI policies. Absorptive capacities such as infrastructure facilities, a threshold level of human capital, and institutions should be strengthened to attract higher FDI into high-tech sectors.

Unlike the previous empirical studies, this study provides asymmetric evidence between FDI and human development in South Asia.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0380.

Purpose: Human capital development strategies and components in hospitality are covered in this chapter. This study examines hospitality human capital development, including training, leadership, technology integration, staff well-being, diversity, equality, and inclusion (DEI).

Design/methodology/approach: This chapter uses secondary data from the relevant research article literature. The design shows how human capital development techniques affect hospitality. This study addresses human capital development needs in the hospitality business as technology becomes increasingly essential.

Findings: Hospitality worker adaptation and flexibility for human capital development, including wellness efforts for work–life balance, are discussed in the chapter. The results also address recognition and incentive systems to foster a healthy hospitality workplace culture that supports employee human capital development.

Research limitations: Human capital research in hospitality is minimal. Future research should examine additional human capital determinants affecting hospitality sector success and their relevance in varied settings for global hospitality and tourism growth.

Practical implications: This study can help hospitality and tourism stakeholders, policymakers, and local communities improve the symbiotic relationship for human capital development. Practical implications emphasise the necessity of inclusive development initiatives that empower hospitality communities and maintain global hospitality and tourism.

Originality/value: This study examines how human capital development affects hospitality, particularly tourism. The novelty is studying development strategies as drivers for good change, teaching sustainable global human capital development in international tourism.

The purpose of this paper is to analyse whether tourism destination competitiveness is associated with human development using contingency tables. Also, by means of a cluster analysis, it seeks to identify homogeneous groups of tourists.

The analysis relies on the Travel and Tourism Development Index and Human Development Index for 2021 and is applied to 81 countries with a high/very high level of human progress and 36 countries with a medium/low level.

The results show that infrastructure is the tourism dimension that has the greatest influence on human development for all countries, while conditions for doing business and sustainability are relevant to residents’ quality of life only in destinations with a high/very high level of progress. Cluster analysis points to India as a tourist destination that is markedly different from the other countries in its human progress, presenting much higher values for price competitiveness, infrastructure and natural and cultural resources.

It analyses the association between each one of the dimensions of tourism development and the Human Development Index.

The purpose of this paper is to examine the restructuring of human resources development processes in Indian Institutes of Technology (IIT) libraries in North India, emphasizing the essential information and communications technology (ICT) skills for both recruits and existing staff.

The study used a survey research design, with two different sets of structured questionnaires used to collect data. The first set, which was distributed to all heads of seven IIT libraries in North India, received a 100% response rate. Simultaneously, the second set was distributed to library users, yielding a 92% response rate (680 responses out of 700 distributed). The collected data were analyzed and tabulated, with suitable interpretations.

The findings of the study reveal that all examined libraries have implemented skill development programs. Moreover, advanced ICT skills are considered essential for staff appointments, and specific institutes (IIT Kanpur, IIT Delhi, IIT Jodhpur and IIT Ropar) took the initiative to provide ICT training to their employees. Trained employees exhibited enhanced performance, attributed to advanced ICT knowledge. The study suggests restructuring selection criteria and introducing structured ICT training programs for library staff, ensuring a more adept workforce for current demands.

The study can increase the impact globally on human resource development by incorporating soft skills, job satisfaction and leadership development while exploring research opportunities through cross-institutional comparisons and the integration of emerging technologies such as artificial intelligence and virtual reality.

This study collected primary data from IIT libraries in North India using self-designed questionnaires. The findings provide useful insights into how libraries might restructure human resource development in the digital age.

The aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can measure the components of IC in decarbonization efforts to balance profitability with environmental and social goals, particularly in promoting decent work and economic growth (Sustainable Development Goal [SDG] 8 and its targets [2, 5, 6, 8]). Moreover, it emphasises the importance of multi-stakeholder partnerships for sharing knowledge, expertise, technology, and financial resources (SDG17-Target 17.G) to meet SDG8.

As a consolidated methodological approach, a systematic literature review (SLR) was used in this study to fill the existing research gaps in sustainability accounting. To consolidate and clarify scholarly research on IC towards decarbonization, 149 English articles published in the Scopus database and Google Scholar between 1990 and 2024 were reviewed.

The results highlight that the current research does not sufficiently cover the intersection of carbon accounting and IC in the analysis of decarbonization practices. Stakeholders and regulatory bodies are increasingly pressuring firms to implement development-focused policies in line with SDG8 and its targets, requiring the integration of IC and its measures in decarbonization processes, supported by SDG17-Target 17.G. This integration is useful for creating business models that balance profitability and social and environmental responsibilities.

The integration of social dimension to design sustainable business models for emission reduction and provide a decent work environment by focusing on SDG17-Target 17.G has rarely been investigated in terms of theory and practice. Through carbon accounting, IC can be a key source of SDG8-Targets 8.[2, 5, 6, 8] and SDG17-Target 17.G. Historically, these major issues are not easily aligned with accounting research or decarbonization processes.

The aim of this research is twofold: first, to get more insights on digital maturity to face the emerging 4.0 augmented scenario by identifying artificial intelligence (AI) competencies for becoming hybrid employees and leaders; and second, to investigate digital maturity, training and development support and HR satisfaction with the organization as valuable predictors of AI competency enhancement.

A survey was conducted on 123 participants coming from different industries and involved in functions dealing with the ramifications of Industry 4.0 technologies. The sample has included predominately small-to-medium organizations. A quantitative analysis based on both exploratory factor analysis and multiple linear regression was used to test the research hypotheses.

Three main competency clusters emerge as facilitators of AI–human interaction, i.e. leadership, technical and cognitive. The interplay among these clusters gives rise to plastic knowledge, a kind of moldable knowledge possessed by a particular human agent, here called hybrid. Moreover, organizational digital maturity, training and development support and satisfaction with the organization were significant predictors of AI competency enhancement.

The size of the sample, the convenience sampling method and the geographical context of analysis (i.e. California) required prudence in generalizing results.

Hybrids’ plastic knowledge conceptualized and operationalized in the overall quantitative analysis allows them to fill in the knowledge gaps that an AI agent-human interplay may imply, generating alternative solutions and foreseeing possible outcomes.