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This paper presents an original approach for learning models, partially known, of particular interest when performing source identification or structural health monitoring. The proposed procedures employ some amount of knowledge on the system under scrutiny as well as a limited amount of data efficiently assimilated.

Two different formulations are explored. The first, based on the use of informed neural networks, leverages data collected at specific locations and times to determine the unknown source term of a parabolic partial differential equation. The second procedure, more challenging, involves learning the unknown model from a single measured field history, enabling the localization of a region where material properties differ.

Both procedures assume some kind of sparsity, either in the source distribution or in the region where physical properties differ. This paper proposed two different neural approaches able to learn models in order to perform efficient inverse analyses.

Two original methodologies are explored to identify hidden property that can be recovered with the right usage of data. Both methodologies are based on neural network architecture.

Organizational happiness has received exponential attention in recent years. To offer an over-view for future research gap, this article produces a comprehensive review by combining bibliometric analysis and interviews to key authors in the field. The main objective of this paper is to show the state of research regarding the environment in the management of happiness in organizations: the evolution of scientific activity, current trends in authorship, topics and future setting research agenda.

The methodological process focuses on a mixed method. A systematic review of the relevant literature; bibliometric analysis and network mapping in the Web of Science and Scopus data-bases; bibliometric network analysis of authorship, citation and co-occurrence of key words in scientific publications.

The results reveal that happiness management is gaining importance and, moreover, more than half of the publications about happiness management are related to the environment in which the organizations are immersed. Therefore, the study provides some research directions and insists on role of environment to better understand the theoretical and practical perspectives. Likewise, bibliometric analysis and interviews allow to measure quality, impact, productivity and scientific evolution which are increasingly valued in order to identify the main concepts and topics that are considered key, drivers of research and those gaps that should be addressed in future research work for the conceptual framework of happiness management in organizations.

Conclusions are drawn that promoting corporate social responsibility strategies, aimed at fostering sustainability and care for the environment result in the well-being of organizations and the performance of their workers are highlighted.

This chapter addresses the intricacies and hurdles in female entrepreneurship within Romania, scrutinizing the often-indistinct lines among authentic entrepreneurship, self-employment, and fraudulent self-employment. It notably spotlights the unique challenges faced by women, stressing the necessity of educational initiatives, legislative backing, and precise policy development. Emphasizing the importance of thorough data gathering and research, the study seeks to deepen the understanding of the specific obstacles and opportunities present for female entrepreneurs. It provides a thorough overview of the status quo of women’s entrepreneurship, outlines the systemic challenges, and discusses potential empowerment and development strategies in this domain.

This study aims to build on embedded approaches to stakeholder management and examines how organizational decision-makers consider social responsibility toward proximal stakeholders in crises that encompass an entire system of stakeholder relationships.

Within a criterion-based sample of eight Latin American private universities, this paper develops in-depth exploratory case studies to examine the prioritization of stakeholders in higher education institutions’ decision-making during the outbreak of the COVID-19 crisis.

Contrary to the notion that during crises organizations prioritize stakeholders that provide resources that are critical to survival, this study finds that in contextual crises stakeholder management is informed by social responsibility. In addition, the findings suggest that crises may be tipping points for changes toward mission-driven approaches to governance.

Acknowledging the roles of social responsibility and proximity in stakeholder management during contextual crises allows for more informed governance of organizations that face disruptions in their system of stakeholder relations.

This study contributes unique insights into the decision-maker’s prioritization of stakeholders during the COVID-19 crisis. The uncertainty associated with the emerging “new normal” allowed for an extreme test of socially embedded versus resource-oriented approaches to stakeholder management.

This study analyses the concept of happiness management based on the empirical validation of the interactions between emotional wage, organisational justice and happiness at work. It complements a holistic view of the management models used in recent corporate governance. This perspective explores the dimension’s emotional wage mediating role and influences on organisational justice and happiness at work. The effect of organisational justice on happiness at work is also analysed.

A quantitative, cross-sectional, descriptive and correlational study is proposed. A sample of 502 workers in the education sector in Costa Rica was selected. A structural equation model (PLS-SEM) was developed to test the proposed theoretical model. The SPSS-AMOS 23 and SmartPLS 4 computer programs are used for this purpose.

The results show that emotional wage has a positive impact on happiness at work and that it mediates positively between organisational justice and happiness at work. Developing organisational policies to include these variables as necessary resources for corporate governance is recommended.

The first limitation of this study is due to the type of sampling, which was purposive. The kind of population and the time of execution of this study were determining factors when deciding on the mode of application of the instrument. However, an attempt to reduce the bias associated with this element could be made by expanding the sample to as many respondents as possible. The second limitation was that the data were collected within a specific time frame. Longitudinal studies address Thcould. The third limitation stems from the scarcity of literature on happiness management. In this regard, this type of research currently needs to be explored in emerging economies. It makes it difficult to determine whether the empirical results obtained in this paper can be generalised to other territories in the global village. Moreover, the last limitation is that the authors of this research have only explored the moderating role of emotional pay in the relationship between the dimensions of organisational justice and happiness at work. It would be interesting to consider other mediating variables to have a clearer picture of the organisational justice–happiness at work construct from the happiness management approach.

As already indicated throughout this research, emotional wage, organisational justice and happiness at work are constructs that positively drive employee satisfaction, motivation and well-being. Human talent management strategies undertaken by organisations should encourage the adaptation of actions that stimulate employees' quality of life, corporate social responsibility and ethical management practices to be more competitive in today’s markets. It requires implementing the dynamic management models that provide internal customers with a high sense of belonging, job satisfaction and commitment to their professional performance. In other words, this will require robust leadership styles and corporate cultures that stimulate employee creativity, loyalty and innovation. For this reason, management of organisations must implement human resources policies to attract and retain creative talent through happy leadership. It requires, among other things that the philosophy of happiness management becomes a critical strategic resource for companies to promote nonfinancial benefits for employees, including emotional wage (Ruiz-Rodríguez et al., 2023).

In the current business environment, there has been a transformation in leadership styles, motivation and the development of a sense of belonging in organisations' human capital. Based on this trend, the study of happiness management becomes a social strategy to improve the conditions, in which the organisations compete to attract highly demanded human capital. It is why this research contributes elements that have an impact on citizenship by proposing the management models based on happiness at work and quality of life.

This study adds to the happiness management literature by including emotional wage, organisational justice and happiness at work in human resources and strategic management. It also contributes to the academic debate on the need to formulate organisational cultures that empower workers in their professional performance based on happiness and positive emotions.

This chapter explores how network bricolage, as a form of collective entrepreneurship, develops over time and influences the shape and form of an organization. Using a historical organization study of SEUR, a Spanish courier company founded in 1942, the authors show how network bricolage is implemented as a dynamic process of collaborative efforts between bricoleurs who draw on their historical experience to build and develop an organization. Our study offers two main contributions. In combining network bricolage with ideas of collective entrepreneurship, the authors first extend knowledge about the practice of bricolage and the role of the bricoleur in the entrepreneurial context beyond start-up. Second, the authors show that, while entrepreneurs’ decisions are historically contingent, it is how entrepreneurs wed past experience with current context which informs their actions in the present, shaping the enterprise for the future.

This paper reviews the literature on digital transformation in SMEs. The general purpose of the paper is to provide an overview of the evolution of digital transformation research in SMEs globally and propose possible future research directions to advance digital transformation research in SMEs.

This study used a systematic review of the literature by conducting bibliometric analysis and content analysis. The research protocol included 51 articles collected in the Scopus database in the bibliometric analysis. The Scopus database was searched using Publish or Perish, while Excel and Mendeley assistance were used for quantitative investigation of the sample and bibliographic management. A bibliometric analysis was conducted by combining two software applications, Biblioshiny R Studio and VOSviewer.

Digital transformation (DT) research on SMEs has increased significantly especially after 2015. Using bibliometric analysis and science mapping, seven main research themes were found, namely digital technologies, dynamic capability, digitalization, small and medium enterprises, big data, manufacturing sector and innovation. Seven future DT research trends were also found, namely digital technology adoption, dynamic capability, adaptive leadership, digital literacy, sustainable innovation, managerial readiness and external support.

Compared to existing reviews, we adopt a broader approach and one that does not focus on specific aspects of DT, but adopts an integrated and holistic approach that provides a comprehensive overview of the DT literature in SMEs. In addition to quantitative analysis through bibliometrics, this study also integrated content analysis to determine future research opportunities and directions.

This paper is based on imported bibliographic data from Scopus. The findings of bibliometric analysis may be affected by the use of certain databases. Therefore, the results depend on the selected databases which may lead to different results. Although the literature review procedure was applied, it is possible that there were missed articles related to the topic discussed. The use of different indicators and depiction methods will also lead to different results. Therefore, future researchers should optimize these aspects.