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The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history.

Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.

The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.

The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.

While compassionate and morally motivated people are theorised to be more likely to engage in activities that contribute to the social good, the literature provides contradictory evidence regarding the role of empathy and moral obligation in building social entrepreneurial intention (SEI). This study aims to clarify how empathy and moral obligation influence SEI.

The authors used survey data (n = 307) from Bangladesh, a frontier economy, to test the hypothesised relationships between empathy, moral obligation and SEI by applying partial least square–structural equation modelling in Smart PLS 3. They then conducted a second study with a larger sample (n = 339) from Saudi Arabia, an emerging economy, to further investigate how the findings withstand in a different socio-economic context.

The findings contradicted extant conceptualisations and revealed that empathy and moral obligation influence SEI indirectly through other individual and contextual factors, such as social entrepreneurial self-efficacy and perceived social support. The findings indicate that a person with a feeling of compassion and moral responsibility to help others will not start a social venture unless they feel capable and supported to start and run the venture.

The study contributes to a contentious area of research in SEI by demonstrating the links between various individual-level (empathy, moral obligation and social entrepreneurial self-efficacy) and contextual-level (perceived social support) variables and their relationship with SEI.

The Uppsala internationalization model is one of the widely accepted models for the development of exports. This model suggests that the explanation of relations between psychic distance, its antecedents and marketing mix adaptation would lead to successful export practices. Consequently, this study aims to determine the determinants of export performance, antecedents of psychic distance and marketing mix adaptation.

This study uses a mixed-methods research design in which qualitative and quantitative research methods were used together. The face-to-face interview method was used to identify the psychic distance antecedents. The face-to-face interview was with eight Turkish exporting firms. Based on the data obtained from face-to-face interviews, a scale for measuring the antecedents of psychic distance has been developed and used in the quantitative study. The scales used for measuring marketing mix adaptation, export performance and psychic distance perception, which has both individual and country dimensions, were adapted from the literature. Data were collected from 221 Turkish exporting companies for quantitative research. Structural equation modeling was used to test relationships between the variables.

As a result of the data analysis of face-to-face interviews, six antecedents of psychic distance were determined. According to the subsequent quantitative research results, it has been determined that employee expertise, which is one of the antecedents of psychic distance, only affects the country dimension of psychic distance perception; the cooperation, institutionalization and international market experience affect both the country and individual dimensions of psychic distance perception. The country and individual dimensions of psychic distance were found to have an impact on the product, price, promotion and distribution dimensions of marketing mix adaptation. Only the product dimension of marketing mix adaption was found to affect export performance.

This study offers a comprehensive perspective for both theoretical and practical studies by discussing various aspects that would help improve the exporting activities of firms within the scope of antecedents of perceived psychic distance.

In this research, a scale was developed for measuring the antecedents of psychic distance, and the variables affecting export performance were analyzed holistically.

This study aims to investigate the effects of board cultural diversity (BCD) and board gender diversity (BGD) of the board of directors on environmental, social and governance (ESG) performance in the European banking sector using resource-based view (RBV) theory. In addition, this study analyses the linkages between BCD and BGD and knowledge sharing on the board of directors to improve ESG performance.

This study selected a sample of European-listed banks covering the period 2021. ESG and diversity variables were collected from Refinitiv Eikon and analysed using the ordinary least squares model. This study was conducted in the European context regulated by Directive 95/2014/EU, which requires sustainability disclosure. The original population was represented by 250 banks; after missing data were excluded, the final sample comprised 96 European-listed banks.

The findings highlight the positive linkages between BGD, BCD and ESG scores in the European banking sector. In addition, the findings highlight that diversity contributes to knowledge sharing by improving ESG performance in a regulated sector. Nonetheless, the combined effect of BGD and BCD negatively impacts ESG performance.

To the best of the authors’ knowledge, this is the first study to measure and analyse a regulated sector, such as banking, and the relationship between cultural and gender diversity for sharing knowledge under the RBV theory lens in the ESG framework.

As firms consider initiatives to enhance their social sustainability performance, supplier diversity, equity and inclusion (DEI) have become significantly more important. As such, the purpose of this study is to theorize, operationalize and develop an empirical scale to measure supplier DEI.

The following three-phase scale development method was used: first, identification of scale items from the literature; second, a qualitative component involving interviews with expert panels; and third, a psychometric evaluation through two survey rounds with 327 managers from multiple areas of supply chain management.

Although not necessarily a new concept, this study provides a more complete understanding of supplier DEI beyond traditional aspects of supplier diversity (e.g. women and minority-owned suppliers) to feature additional considerations (e.g. LGBTQIAP+) and reflect broader societal considerations, such as human rights. Therefore, validated items for the three dimensions (i.e. diversity, equity [human rights] and inclusion) were identified.

This study provides systematically validated scales to measure supplier DEI based on three dimensions. Each dimension can be developed separately from the others, but they are intertwined, which reinforces the contribution to both scholars and practitioners.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

This study aims to investigate whether the presence of women in the boardroom influences companies’ environmental, social and governance (ESG) performance. Furthermore, it examines whether the COVID-19 pandemic and family control affect the relationship.

This study uses nonfinancial firms listed on the Indonesia and Malaysia Stock Exchange during 2018-2021. Thomson Reuters’ database is used to collect the ESG scores. Using 312 firm-year observations, the authors apply multiple regressions and sensitivity testing to ensure the robustness of the results.

This study provides empirical evidence that the presence of women in the boardroom improves companies’ ESG and family control weakens the relationship. Meanwhile, there is no support on the moderating effect of the COVID-19 pandemic. The authors also conducted additional tests using ESG pillars (i.e. environment, social and governance pillars) as the dependent variable. The findings are robust to alternative samplings.

This research is limited to Indonesia and Malaysia, thus affecting the generalizability of the results to all developing countries. The sample size is relatively small due to data limitations related to the availability of ESG scores.

The findings of this study provide a basis for the government to establish mandatory regulations regarding sustainability performance. The positive relationship between women on boards and better ESG performance suggests that encouraging gender diversity in corporate leadership can improve sustainability practices. The government may consider implementing gender quota regulations to increase women's representation on corporate boards.

Shareholders can pursue investment portfolios in socially responsible companies, prioritizing ESG performance. In addition, investors should consider the presence of women in the company’s boardroom and whether family control exists when making investment decisions.

Overall, the originality and significance of this research lie in its comprehensive examination of the moderating factors, the inclusion of different governance systems in the sample, and the exploration of psychological aspects, contributing to a deeper and more nuanced understanding of the relationship between women on boards and ESG performance in the context of developing countries.

The ceramic tile chain can generate several environmental impacts, from raw material extraction to the production process, commercialization, consumption, maintenance and disposal. One of the open issues remaining in the literature on socially responsible supply chains, also known as responsible supply chains, is understanding how corporate social responsibility (CSR) practices are being implemented in ceramic tile companies in Brazil.

The method adopted is a multiple-case study. The authors conducted face-to-face interviews with six ceramic producers and a trade association. The authors also conducted eight interviews with specialists in the ceramic sector. They are two university professors, two class association representatives, one professional from a technological institute, two representatives of the inspection body and one supplier.

Companies perform on a compliance basis, manifesting a less proactive position when the subject is CSR. In addition, the CSR practices established by the companies are preferably aimed at reducing costs and risks and increasing reputation. Practices in terms of eco-design are linked to lowering costs and growing reputation, as seen from the reduction in the use of inputs and improvements in packaging to minimize costs. These practices improve the company’s reputation from the consumers' perspective. Environmental aspects are dominant due to the legislation.

This paper contributes theoretically since it identifies, from the companies' perspective, the CSR practices related to risk, cost reduction and reputation increase. There are also opportunities to be explored for facilitating their efforts towards a sustainable business model, especially considering the social dimension. From a managerial perspective, this paper provides some input for implementing CSR actions, mainly regarding their implications for society and local communities.

La cadena de revestimiento cerámico puede generar diversos impactos ambientales, desde la extracción de la materia prima hasta el proceso de producción, comercialización, consumo, mantenimiento y disposición. Una de las cuestiones abiertas que quedan en la literatura sobre cadenas de suministro socialmente responsables, también conocidas como cadenas de suministro responsables, es comprender cómo se están implementando prácticas de responsabilidad social empresarial en las empresas de revestimientos cerámicos en Brasil.

El método utilizado en el estudio es un estudio de casos múltiples. Realizamos entrevistas cara a cara con 6 productores de cerámica y una asociación comercial. También recibimos información de 8 especialistas representantes de organizaciones relacionadas con el sector cerámico; 2 profesores universitarios; 2 representantes de asociaciones de clase; 1 profesional de instituto tecnológico; 2 representantes del organismo de control; y 1 proveedor de esmaltes.

Las empresas actúan sobre la base del cumplimiento, manifestando una posición menos proactiva cuando el tema es la RSE. Además, las prácticas de RSC establecidas por las empresas están preferentemente encaminadas a la reducción de costes y riesgos y al aumento de la reputación. Las prácticas en materia de ecodiseño están esencialmente ligadas a la reducción de costos y al aumento de la reputación, a partir de la reducción en el uso de insumos y mejoras en los empaques para minimizar costos. Estas prácticas mejoran la reputación de la empresa desde la perspectiva de los consumidores. Los aspectos ambientales son dominantes debido a la legislación.

Este trabajo aporta teóricamente ya que identifica, desde la perspectiva de las empresas, las prácticas de RSE relacionadas con el riesgo, la reducción de costos y el aumento de la reputación. También hay oportunidades por explorar para facilitar sus esfuerzos hacia un modelo de negocio sostenible, especialmente teniendo en cuenta la dimensión social. Desde la perspectiva gerencial, este documento proporciona algunos insumos para la toma de decisiones sobre la implementación de acciones de RSE, principalmente en lo que respecta a las implicaciones para la sociedad y las comunidades locales.

Factors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s financial compliance. Predicting budget compliance in construction projects has been traditionally challenging, but Machine Learning (ML) techniques have revolutionised estimations.

In this study, Portuguese Public Procurement Data (PPPData) was utilised as the model’s input. Notably, this dataset exhibited a substantial imbalance in the target feature. To address this issue, the study evaluated three distinct data balancing techniques: oversampling, undersampling, and the SMOTE method. Next, a comprehensive feature selection process was conducted, leading to the testing of five different algorithms for forecasting budget compliance. Finally, a secondary test was conducted, refining the features to include only those elements that procurement technicians can modify while also considering the two most accurate predictors identified in the previous test.

The findings indicate that employing the SMOTE method on the scraped data can achieve a balanced dataset. Furthermore, the results demonstrate that the Adam ANN algorithm outperformed others, boasting a precision rate of 68.1%.

The model can aid procurement technicians during the tendering phase by using historical data and analogous projects to predict performance.

Although the study reveals that ML algorithms cannot accurately predict budget compliance using procurement data, they can still provide project owners with insights into the most suitable criteria, aiding decision-making. Further research should assess the model’s impact and capacity within the procurement workflow.

Previous research predominantly focused on forecasting budgets by leveraging data from the private construction execution phase. While some investigations incorporated procurement data, this study distinguishes itself by using an imbalanced dataset and anticipating compliance rather than predicting budgetary figures. The model predicts budget compliance by analysing qualitative and quantitative characteristics of public project contracts. The research paper explores various model architectures and data treatment techniques to develop a model to assist the Client in tender definition.

This study aimed to analyze the strategies and challenges related to technology transfer (TT) in technology transfer offices (TTOs), specifically regarding actions to offer technologies in their portfolios.

The qualitative research used a multiple case study based on interviews with TTO managers from seven Brazilian public Science and Technology Institutions (STIs): University of São Paulo (USP), State University of Campinas (UNICAMP), Paulista State University (UNESP), Federal University of Minas Gerais (UFMG), Federal University of Paraná (UFPR), Federal Technological University of Paraná (UTFPR) and Oswaldo Cruz Foundation (FIOCRUZ).

STIs that invest more resources in their portfolio’s active offering and marketing are more successful in TT than STIs with a passive strategy. Although this active strategy has grown in importance, there is a disparity among Brazilian TTOs as some are still passive in commercializing their intellectual property. This research also highlights the need for clear policies to overcome obstacles related to legal uncertainty for researchers who wish to undertake projects as entrepreneurs using the intellectual property of STIs.

The results of this study cannot be generalized since its conclusions are limited to the studied institutions. However, the outcomes indicate some interesting matters for managers of STIs, public policymakers and TT researchers.

Literature on marketing and innovation related to TT between research institutions and companies in developing countries is still limited. Thus, this research contributes to generating knowledge in the field and improving TTOs.