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This paper proposes an assessment method for lean and sustainability (LS) practices for shop-floor workers, designed to evaluate their current practice culture.

The method is developed in five phases: setting predefined indicators, constructing the assessment mechanism, implementing the assessment procedure, analyzing data and delivering results with recommendations. Validation is performed using two worker groups – line supervisors and operators – within the light-emitting diode (LED) manufacturing industry.

The results showed that workers’ familiarity and understanding of LS practices do not always correspond to their awareness levels. Key recommendations include prioritizing training for critical cases and adapting training approaches to fit the specific knowledge profiles identified.

Firstly, the company should integrate the proposed assessment into an online platform that can automatically generate individual statistical results and priority levels. This reduces the burden of manual work and makes large-scale assessments more practical. Secondly, the study should expand to other shop-floor workers, such as technicians and engineers, to assess their knowledge profiles for future LS development initiatives.

The recommendations provide managers and training departments with guidelines to revise current training approaches. The methodology is validated, enabling the identification and mapping of each worker’s knowledge profile.

This study presents an original assessment method for evaluating the knowledge profiles of shop-floor workers regarding LS practices. To the best of the authors’ knowledge, no prior literature has reported on an assessment method targeting this specific group. The proposed approach supports the decision-making process for better LS practices in the company.

This study aims to examine how Brazilian universities have implemented the sustainable development goals (SDGs) in institutional practices, curriculum and teaching, management and community outreach programs.

This study is based on content analysis of the data sets of Brazilian higher education courses and their link to SDGs. A literature review has also been developed to integrate the knowledge of sustainability practices in Brazilian universities. Dashboards will be used to present the related findings.

Brazilian universities’ practices have concentrated their efforts on SDGs, which include responsible consumption and production, sustainable cities and communities and quality education. The literature emphasizes energy efficiency, reflecting its prominence as a subject of study among universities.

This research highlights the innovative use of data analysis techniques to present the findings. It also provides examples of environmental, social and governance (ESG) practices, frameworks and tools that can help sustainability management in this sector.

Firms are the primary producers of innovations, and understanding how these agents acquire, update and manage the knowledge of their employees is central to understanding economic growth. However, in developing economies, technology adaptation plays a critical role in innovation compared to knowledge creation. Thus, this research investigates the role of human capital in innovation at the firm level in the case of a small developing economy, which ranks highly on several human capital dimensions but shows declining levels of investment in advanced human capital development in its manufacturing sector.

This research examines the relationship between innovation and human capital at the firm level in a small peripheral economy. The human capital theory is applied to a firm context to understand variations in innovative behavior depending on the size of manufacturing companies. The effect of several human capital dimensions on product innovation is estimated by applying binomial logistic regression models with firm and time-fixed effects.

This article contributes to innovation economics and public policy by highlighting that not all dimensions of human capital operate similarly for all companies in the context of developing economies. In such settings, technology adaptation plays a critical role in innovation. While employees' human capital endowments significantly impact small firms in that context, firm-level practices such as internal training are crucial for large companies. Consequently, policymakers should consider that firms' human capital endowments impact their innovative behavior differently to avoid one-size-fits-all policy design approaches in this regard.

Prior research on the relationship between human capital and innovation in developing economies was based on a cross-sectional approach. This research's unique panel dataset covering 11-year triennial innovation surveys enabled a modeling strategy that controls for time-invariant unobservable firm characteristics. Three aspects of firms' human capital have been analyzed human capital endowments, internal training and human resource management (HRM) practices for the first time longitudinally in a developing economy, enabling to contrast of empirical findings with policy design.

This study aims to examine the resilience of Peruvian startups during the COVID-19 pandemic using a framework proposed by Lengnick-Hall et al. (2011), in which resilience impacts organizational strengthening. The goal is to identify those characteristics that allowed certain startups to discover growth opportunities amid this crisis.

This study analyzed human, social and entrepreneurial capital variables in Peruvian startups using data from a survey conducted in July 2020. Binary logistic regression was used to determine which organizational resources increased the probability of identifying growth opportunities during the pandemic.

The findings suggest that human capabilities become secondary in extreme crises such as pandemics. Critical factors for startup resilience include commercial partnerships with established firms, founders’ capital investment, business maturity and adoption of advanced digital technologies.

This research provides unique insights into startup resilience and growth in Peru during the COVID-19 crisis. The authors observed that business growth during this period was largely unpredictable, with less emphasis on human capabilities. The study highlights the importance of external factors in resilience, the role of collaboration between established firms, the integration of advanced digital technologies and the influence of founders’ investments and business maturity in navigating difficult times.

Este estudio examina la resiliencia de las startups peruanas durante la pandemia de COVID-19 utilizando un marco propuesto por Lengnick-Hall et al. (2011), en el que la resiliencia tiene un efecto en el fortalecimiento de las organizaciones. Su objetivo es identificar las características que permitieron a ciertas startups descubrir oportunidades de crecimiento en medio de esta crisis.

Analizamos variables de capital humano, social y empresarial en startups peruanas utilizando datos de una encuesta realizada en julio de 2020. Se utilizó regresión logística binaria para determinar qué recursos organizativos incrementaban la probabilidad de identificar oportunidades de crecimiento durante la pandemia.

Nuestros hallazgos sugieren que las capacidades humanas pasan a un segundo plano en crisis extremas como las pandemias. Los factores críticos para la resiliencia de las startups incluyen las asociaciones comerciales con empresas establecidas, la inversión de capital de los fundadores, la madurez empresarial y la adopción de tecnologías digitales avanzadas.

Esta investigación proporciona una visión única sobre la resiliencia y el crecimiento de las startups en Perú durante la crisis COVID-19. Observamos que el crecimiento empresarial durante este período fue en gran medida impredecible, con menos énfasis en las capacidades humanas. El estudio subraya la importancia de los factores externos en la resiliencia, el papel de la colaboración con las empresas establecidas, la integración de tecnologías digitales avanzadas, la influencia de las inversiones de los fundadores y la madurez empresarial para navegar en tiempos difíciles.

Este estudo examina a resiliência das startups peruanas durante a pandemia da COVID-19 usando uma abordagem proposta por Lengnick-Hall et al. (2011), na qual a resiliência tem um efeito fortalecedor nas organizações. Seu objetivo é identificar as características que permitiram que determinadas startups descobrissem oportunidades de crescimento em meio a essa crise.

Analisamos variáveis de capital humano, social e empresarial em start-ups peruanas usando dados de uma pesquisa realizada em julho de 2020. A regressão logística binária foi usada para determinar quais recursos organizacionais aumentaram a probabilidade de identificar oportunidades de crescimento durante a pandemia.

Nossas análises sugerem que as capacidades humanas se tornam secundárias em crises extremas, como as pandemias. Os fatores essenciais para a resiliência das startups incluem parcerias comerciais com empresas estabelecidas, investimento de capital dos fundadores, maturidade dos negócios e adoção de tecnologias digitais avançadas.

Esta pesquisa fornece informações exclusivas sobre a resiliência e o crescimento de startups no Peru durante a crise da COVID-19. Observamos que o crescimento das empresas durante esse período foi amplamente imprevisível, com menos ênfase nas capacidades humanas. O estudo destaca a importância de fatores externos na resiliência, o papel da colaboração com empresas estabelecidas, a integração de tecnologias digitais avançadas e a influência dos investimentos dos fundadores e da maturidade dos negócios na superação de tempos difíceis.

This study aimed to examine the similarities and differences between the ability to analyze the environment and exploit new knowledge (absorptive capacity) and the skills to generate value from innovation (appropriation). These fields have similar origins and are sometimes confused by practitioners and academics.

A review was conducted based on a full-text analysis of 681 and 431 papers on appropriation and absorptive capacity, respectively, from Scopus, Science Direct and Lens, using methodologies such as text mining, backward citation analysis, modularity clustering and latent Dirichlet allocation analysis.

In business disciplines, the fields are considered different; however, in other disciplines, it was found that some authors defined them quite similarly. The citation analysis results showed that appropriation was more relevant to absorptive capacity, or vice versa. From the dimension perspective, it was found that although appropriation was considered a relevant element for absorptive capacity, the last models did not include it. Finally, it was found that studies on both topics identified the importance of appropriation and absorptive capacity for innovation performance, knowledge management and technology transfer.

This is one of the first studies to examine in-depth the relationship between appropriation and absorptive capacity, bridging a gap in both fields.

This study aims to evaluate sustainable investment policies for housing in Qatar.

This paper proposes a new model for analyzing sustainable investment policies for housing demand in Qatar via a hybrid quantum fuzzy decision-making model. The study processed the criteria with the facial expression-based Quantum Spherical fuzzy DEMATEL and ranked the alternatives with the facial expressions-based quantum spherical fuzzy TOPSIS. Four factors were determined due to a comprehensive literature review (Environment, Housing Design, Building Design, and Surrounding the building), with five sustainable investment policy alternatives (Electricity production with renewable energies, Recycling systems and materials in construction, Transport with less carbon emission, Biodiversity for residents, and Resilience to natural disasters).

The analysis indicates that the design of the building is the most important factor (0.254), while the environment is the most influencing factor (0.253) regarding housing demand in Qatar. Transport with less carbon emission and electricity production with renewable energies are the most critical alternative investment policies.

This study provides useful insights for regulators, policymakers, and stakeholders in Qatar’s sustainable investment policies for housing demand. The main motivation of this study is that there is a need for a novel model to evaluate the sustainable investment policies for housing demand. The main reason is that existing models in the literature are criticized due to some issues. In most of these models, emotions of the experts are not taken into consideration. However, this situation has a negative impact on the appropriateness of the findings. Because of this situation, in this proposed model, facial expressions of the experts are considered. With the help of this issue, uncertainties in the decision-making process can be handled more effectively.