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The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.

To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.

The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.

It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.

Colonies of Actynomyces israelii bacteria have been found in removed copper intra‐uterine devices (IUD) used as a long‐term contraceptive method. The purpose of this paper is to characterize the biofilm developed under anaerobic conditions by Actynomyces israelii on IUD surface, and its influence in the copper corrosion processes.

The dissolution of copper on the intra‐uterine cavity prevents conception because of the toxic effect of the ions released. Nevertheless, microbiological growths have been detected on the IUD devices retired after long periods of insertion. In order to know about the influence of the biofilm on the corrosion of copper, electrochemical, spectroscopic and surface analysis techniques were applied to study the phenomenon.

A porous Actynomyces israelii biofilm was formed on the copper IUD surface. The bacteria colony had developed in an exopolimeric substrate, which protects it from the toxic effect of copper ions. The corrosion process was not inhibited by the biofilm, due to the pores present which permit the transport of species through them.

The results of this study show that there is no decay in the contraceptive function of the IUDs due to the presence of a bacterial biofilm on its surface.

The relationship between microbial colonization and the corrosion process of copper IUD under anaerobic conditions was characterized. These results will complement previous investigations performed on the study of corrosion of copper IUDs under different conditions.

The clean development mechanism (CDM) project is a cost-effective instrument to reduce greenhouse gas (GHG) emissions and to transfer technology and capital from industrialized to developing countries. HRM practices are important sustainable development co-benefits of CDM projects and Brazil is the third largest CDM project developer in the world. The purpose of this paper is to analyze the HRM practices declared by Brazilian CDM projects and how these practices have been, in fact, implemented by the proponents of these projects.

A mixed methodology was developed, based especially on qualitative and quantitative methods, in the Brazilian context.

The authors found that CDM activities are improving recruitment, human resource participation and training practices in Brazilian companies, influencing the integration of environmental management into HRM practices – green HRM. In addition, the study presents hints of interesting avenues to explore in further studies. For example, why is it that some organizations are able to change the routines associated with organizational learning and/or culture while others are not.

The overall results suggested that there is further potential within GHG emissions reduction projects to improve green HRM.

Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.

A mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.

The key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.

At the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.

The purpose of this paper is to explore the determinants of successful eco-innovation processes, using R&D intensity and green patents as metrics for eco-innovation measurement and analysis.

The paper reports the results of a quantitative study based on a sample of 2,218 firms with proactive profiles in eco-innovation, 249 of which have green patents registered in Spain or in the European Union.

The results suggest positive relationships between the activity of eco-innovation of firms with both the innovation activity in firms and the R&D intensity. The findings also confirm the influence of implementing innovation in the financial performance of business.

The results will be useful for future studies on the subject and for practitioners making decisions on investments in collaborative R&D and its protection through industrial property in the form of green patents. The main determinants of eco-innovation analysed in this paper can be directly translated into practices because they provide information on how to strengthen these determinants in environmental R&D investments and the registration of green patents.

The results will be useful for future studies on the subject and for practitioners making decisions on investments in collaborative R&D and its protection through industrial property in the form of green patents. The main determinants of eco-innovation analysed in this paper can be directly translated into practices because they provide information on how to strengthen these determinants in environmental R&D investments and the registration of green patents.

Despite the popularity and potential impact of the eco-innovation on economy or society, it has fallen short in terms of its potential to improve financial performance in firms. This paper argues that the level of eco-innovation activity explains some variability in financial performance. In fact, those firms that have greater levels of innovation increase their performance.

Explorar los determinantes del éxito de los procesos de ecoinnovación, utilizando la intensidad de I + D y las patentes verdes como indicadores para la medición y el análisis de la ecoinnovación.

Se analizan y presentan los resultados de una investigación cuantitativa basada en una muestra de 2218 empresas con perfiles proactivos en ecoinnovación, de las cuales 249 tienen patentes verdes registradas en España o en la Unión Europea.

Los resultados sugieren relaciones positivas entre la actividad de ecoinnovación de las empresas con su actividad de innovación y la intensidad de la I + D. Los resultados también confirman los efectos que la implementación de innovaciones tiene sobre el desempeño financiero de las empresas.

La medición de la ecoinnovación es incluso más compleja que la medición de la innovación debido a sus aspectos ambientales intrínsecos. Se podría alcanzar una evaluación más profunda con un mayor número de variables y una muestra más grande.

Los resultados serán útiles para futuros estudios sobre el tema y para los profesionales que toman decisiones sobre inversiones en investigación y desarrollo en colaboración y su protección a través de la propiedad industrial en forma de patentes verdes. Los principales determinantes de la ecoinnovación analizados en este estudio pueden traducirse directamente a las prácticas, ya que proporcionan información sobre cómo fortalecer estos determinantes en las inversiones en I + D ambiental y el registro de patentes verdes.

A pesar de la popularidad y el impacto potencial de la ecoinnovación en la economía o la sociedad, se ha quedado corto en cuanto a su potencial para mejorar el desempeño financiero de las empresas. Este estudio sostiene que el nivel de actividad de ecoinnovación explica cierta variabilidad en el desempeño financiero. De hecho, aquellas empresas que tienen mayores niveles de innovación aumentan su desempeño.

This analysis examines the evolving role of deep learning in engagement marketing research. It tries to address a critical knowledge gap despite the rapid growth of artificial intelligence (AI) applications in this field.

Using bibliometric techniques, this study analyzes Scopus data to investigate the evolution of engagement marketing research influenced by technology. Overlapping maps, evolution maps and strategic diagrams reveal key trends and intellectual structures within this dynamic field.

Our analysis reveals key trends in deep learning applications, like focuses on language-interaction, interactivity-privacy and human-focus satisfaction. While results show the contribution in foundational works like linguistics, algorithms and interactive marketing, they also raise concerns about the algorithmic bias, privacy violations and etc.

While Scopus data offers valuable insights, our analysis acknowledges its limitations on publication language. Future research should treasure foundational works and historical context for comprehensive understandings. Additionally, addressing emerging challenges such as negative customer experiences and fairness is crucial for future studies.

This review provides a comprehensive perspective on deep learning applications on engagement marketing research in the context of interactive marketing. We present trends and thematic structures with practical implications for scholars and practitioners. It presents a fuller intellectual landscape and suggests that future research directions shall prioritize a human-centered approach to AI implementation, ultimately fostering genuine customer connections.

The purpose of this study is to examine the scientific research related to sustainability in hospitality and tourism from 1994 to 2020 by conducting bibliometric and science mapping analyses and to discuss the implications for prospective research opportunities.

Keyword co-occurrences with 2,980 published papers collected from the Web of Science (Social Science Citation Index and Emerging Sources Citation Index) were used for the bibliometric-based analysis. The authors use SciMAT software which offers relevant outputs, such as research themes and graphical outputs (strategic diagrams, cluster networks and science mapping representing the temporal evolution of the themes).

The findings show that biodiversity conservation, sustainable attitudes, climate change, protected areas, satisfaction and environmental management were the focal motor-themes in the studied periods. Additionally, four areas for future investigation are identified and discussed: sustainable behavior and environmental sustainability; consumption, demand and economic growth; tourism development and strategies; and rural tourism, poverty, ethics and education.

This analysis shows insightful results processing a high number of published documents. However, the authors recommend further research focused on qualitative literature review for each critical topic.

The authors are unaware of analogous, completed and recent work about sustainability in hospitality and tourism. The authors believe this article is of great value to academics and practitioners because it synthesizes and disseminates the research topic while providing an outstanding basis for identifying research opportunities.

The purpose of this paper is to present the innovation management program (IMP) (FAZ Program) and analyze its results according to the public policy goals that support it (Pró-Inova) suggesting improvements.

Intensive-direct-observation method in 43 companies; systematic data gathering and analysis (172 meeting documents); and innovation maturity diagnostics in 30 companies between August 2013 and May 2016.

The FAZ Program success rate according to the Pró-Inova goals achieved 81 percent. The percentage of completion of FAZ activities decreases during its implementation from 100 percent (strategic module) to 74 percent (management module) and ending at 46 percent (project module). The maturity for innovation of these committees/teams is decisive for those percentages. Companies whose maturity for innovation of the strategic committee and the organizational team are above average or excellent have, respectively, 1.8 and 1.7 times greater probability of implementing the program successfully.

The FAZ Program represents only 4 percent of the programs supported by Pró-Inova. The innovative products, processes and businesses produced by the FAZ Program implementation are not measured. These innovations usually happen several years after an innovative management models implementation.

The maturity for innovation diagnosis is useful both to evaluate the company’s innovation capacity and to predict its chances of implementing the program successfully. Adjusting the structure of the model (e.g. PDCA cycle for the organizational module) and improving the program’s implementation (e.g. ensure management module resources and maturity for innovation capacity) can increase the program’s success rate.

Previous research works on IMPs supported by Pro-Inova focus on describing their methodology or benefits. The results allow answering what and how one of these programs offers in a return to the public innovation support received.

Experiential learning is crucial in education, as it offers hands-on, practical experiences that enable individuals to develop their skills and knowledge more engagingly and interactively. In recent years, experiential learning has become a significant aspect of education. To provide academic scholars with a thorough roadmap for further investigation, this study aims to provide useful insights into the bibliometric and content analysis of experiential learning, including keywords, well-known authors, publications, nations and topics.

This research does a rigorous bibliometric analysis to give a thorough and visually instructional assessment of the evolution and advancement of the literature on experiential learning. Its fast development between 1976 and 2022 is meticulously tracked in the research. By using VOSviewer and Biblioshiny tools, the present study presents a concise overview of 507 records retrieved from the Scopus database using the keyword “Experiential Learning”, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. Deeper text mining was done using Python libraries “Pandas” and “Natural Language Toolkit” and regular expressions.

The findings reveal a surge in the number of publications on experiential learning and provide insights, particularly using the theory, context, characteristics, methodology analysis, supporting researchers and practitioners to understand learning better and provide perspectives for future research. Descriptive bibliometric analysis showed that most contributions are from the USA, the UK and Canada. In-depth content analysis revealed five clusters: developments in learning, management education, engineering curricula, organisational learning and knowledge management and entrepreneurship education. The keyword co-occurrence analysis enabled linkages between relevant fields of study and significant research domains. The most commonly used theories were: experiential learning theory, social learning theory, relational coordination theory, empowerment theory, feedback learning theory, effectuation theory and human capital theory.

This study uses information from the Scopus database to do a bibliometric analysis of experiential learning from 1976 to 2022. This study serves as a valuable resource for researchers in the field, helping them to position their work more explicitly within the existing literature and highlighting potential areas for future research. It does this by thoroughly analysing the literature on experiential learning using bibliometrics.