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This study aims to undertake a comprehensive analysis of innovation models, tracing their evolution from Innovation 1.0 to Innovation 4.0 and introducing the concept of Innovation 5.0. It explores the intersection between innovation models and the principles of sustainability, resilience and human-centeredness, providing insights into their implications for Industry 5.0, and their potential to foster a resilient ecosystem amidst challenges and multiple crisis.

To achieve this objective, the authors used a systematic literature review approach, considering academic articles on Innovation 4.0, Industry 5.0 (specifically in the context of innovation) and helix models of innovation. The authors conducted thematic analysis and content analysis, followed by keyword co-occurrence analysis, enabling us to systematically synthesize and interpret the relevant literature.

The results conclude that Innovation 5.0 is a new paradigm for innovation that fosters broader societal engagement, and emphasizes sustainability, resilience and human-centeredness. Innovation 5.0 is evolving, but it has the potential to transform the way we produce, consume and live. Using insights from the sextuple helix model, this research leverages media and ICT as sixth helix vital role of knowledge sharing, digital transformation, innovation ecosystem and next industrial revolution in this process.

This study contributes to the ongoing discourse on exploring Innovation 5.0 through the sextuple helix model, offering a fresh perspective on innovation models and their collaborative potential. Its contribution lies in providing practical insights into the transition to Innovation 5.0, emphasizing the need for sustainability, regulatory support and awareness while also offering clear recommendations for future research.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

The study aims to explore the overall growth trend, top publishing countries, co-authorship and author keywords in the field of Industry 5.0.

This study presents the outcomes of a bibliometric analysis conducted using VOSviewer software. The analysis retrieved data from the Scopus database, including citations, co-authors, keywords, bibliometric coupling and co-occurrence.

The findings reveal a significant increase in publications and citations related to Industry 5.0 in recent years. China, the USA and India emerge as the leading countries driving research in this field. The co-authorship analysis indicates limited collaboration among authors, with only 48 out of 354 authors being linked through co-authorship. Through co-occurrence analysis, the investigation identifies the most frequently occurring keywords in the research, with “Industry 5.0” and “Industry 4.0” being the most frequently co-occurring keywords. The bibliographic coupling analysis identifies six clusters of research themes.

The study solely relies on data gathered from the Scopus database for analysis on a specific date. Therefore, data from other databases collected at different times may yield different observations and findings.

This study enhances the knowledge of professionals and academia in Industry 5.0, enabling the professionals to efficiently and sustainably manage the sector.

The bibliometric analysis presented in this study provides valuable insights into the contributions made by authors, keywords and co-authors to the field of Industry 5.0. Additionally, the thematic analysis summarized in this study is a novel contribution to the field.

Drawing on self-determination theory and insights from the literature on service-dominant (S-D) logic and value co-creation, this paper aims to investigate the impacts of an S-D orientation on positive customer outcomes (i.e. customer participation behaviors, customer citizenship behaviors and quality of life) and the underlying mechanisms of these effects.

Custom travel service (CTS) was chosen as the research setting. In total, 303 valid questionnaires were gathered from tourists in China. The partial least squares structural equation modeling approach was used for model estimation.

Tourism firms’ S-D orientation positively influences customer participation behaviors via customer psychological need satisfaction (i.e. perceived autonomy, competence and relatedness), customer citizenship behaviors via perceived relatedness and customer quality of life via perceived autonomy and perceived competence.

Although the impact of S-D orientation is studied in the CTS context, this study illustrates how firms embracing S-D logic can facilitate value co-creation and customer quality of life, presenting a more precise picture for academics and practitioners.

This paper is the first attempt to empirically examine the relationships among S-D orientation, customer value cocreation and quality of life. The relevance of customer psychological need satisfaction is acknowledged in this study.

Hydrogel is an excellent material for the fabrication of porous scaffold by mask-prototyping method. Different from the common commercial resin, hydrogel is hydrophilic and hyperelastic, so that it cannot bear the conventional post-curing process to improve its mechanical properties. The purpose of this paper is to put forward a method to improve the curing bonding strength at the weak juncture of the porous hydrogel scaffold.

The working curve of the resin was obtained through the single layer cure experiment, and the energy accumulation model has been set up by MATLAB. Aimed at the specificity of material, a new method of partial curing on different kind of structure has been proposed. Under the same condition, only the tn2 needs to be changed to fabricate different test specimens with different accumulated energy between two layers. The tensile test is carried out with the authors’ preferred equipment.

The analysis reveals that accumulated energy can be changed by adjusting the key parameters, and the tensile test shows that when the accumulated energy is bigger, the ultimate tensile strength is higher.

Subject to the equipment accuracy and specificity of material, some errors coming from the experiment and test might exist, but the authors believe they will not change their findings and conclusions in this paper.

The research provides a method which is different from the common methods but friendlier to improve the bonding strength of the hydrogel scaffold.

This work can help to adjust the mechanical property of the scaffold used in tissue engineering.

This method can improve the bonding strength at weak juncture and give a direction for the design of porous scaffold.

Industry 5.0 provides significant social, environmental and economic benefits over previous industrial revolutions. However, research in the field of industry 5.0 is still at a very nascent stage. Little is known about research trends in the field and its applications in specific sectors as construction which have relatively low sustainability index. Hence, this study aims to explore research trends in industry 5.0 and its applications in the construction industry.

The study adopted a bibliometric analysis with the use of the vosviewer. The main search words used in the study were “Industry 5.0”, “Society 5.0” AND “Fifth Industrial Revolution”. Initial extracted papers with these keywords were 1036. After refining based on language, document type, key words and timeframe, a total of 188 papers were found suitable for the analysis.

The most impactful research on Industry 5.0 to date was from the United States, Australia and Sweden while the journal sustainability was found to be the highest document source on Industry 5.0. The application areas of industry 5.0 in the construction industry include health and safety, collaborative working, waste management, measurement of environmental features (indoor air quality, atmospheric pressure, noise, humidity and temperature) and forecasting of environmental, social or financial outcomes.

The study used review based papers which form the bulk of the existing research on industry 5.0. This limits understanding of the practical applications, benefits and challenges associated with the use of industry 5.0.

This work contributes to the theory and practice of industry 5.0 by providing baseline data for future research directions on industry 5.0. The work specifically highlights the application areas of industry 5.0 in the construction industry and also indicates the need for questionnaire, interviews or case study based research to enhance understanding of the practical applications of industry 5.0.

Traditional gas tungsten arc welding (GTAW) and GTAW-based wire and arc additive manufacturing (WAAM) are notably different. These differences are crucial to the process stability and surface quality in GTAW WAAM. This paper addresses special characteristics and the process control method of GTAW WAAM. The purpose of this paper is to improve the process stability with sensor information fusion in omnidirectional GTAW WAAM process.

A wire feed strategy is proposed to achieve an omnidirectional GTAW WAAM process. Thus, a model of welding voltage with welding current and arc length is established. An automatic control system fit to the entire GTAW WAAM process is established using both welding voltage and welding current. The effect of several types of commonly used controllers is examined. To assess the validity of this system, an arc length step experiment, various wire feed speed experiments and a square sample experiment were performed.

The research findings show that the resented wire feed strategy and arc length control system can effectively guarantee the stability of the GTAW WAAM process.

This paper tries to make a foundation work to achieve omnidirectional welding and process stability of GTAW WAAM through wire feed geometry analysis and sensor information fusion control model. The proposed wire feed strategy is implementable and practical, and a novel sensor fusion control method has been developed in the study for varying current GTAW WAAM process.

High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown. This study aims to guide the development and application of an extra-low carbon high silicon iron-based alloy (ECHSIA) in electrode plates.

The corrosion resistance of ECHSIA and a conventional high-silicon cast iron (CHSCI) was analyzed through experimental characterizations. The morphology was observed by scanning electron microscopy. The influence of electrolysis parameters on the corrosion resistance of ECHSIA was investigated through corrosion experiments. The relationship between the electrolysis parameters and the corrosion resistance of ECHSIA was statistically investigated using the grey correlation analysis method.

The corrosion resistance of the ECHSIA is better than that of the CHSCI. The corrosion rate showed an increasing tendency with the increase in the nitric acid concentration (C_HNO3), electrolyte temperature and current density. The grey correlation analysis results showed that the C_HNO3 was the main factor affecting the corrosion rate of the ECHSIA.

An ECHSIA with a single ferrite microstructure was prepared. This study provides a guideline for the future development and application of ECHSIAs as electrode plates.

Detecting precursory signals is critical to increasing the resilience of megaprojects to crises. This study aims to investigate key crisis precursors to better apprehend traces of megaproject crises and proactively respond to approaching crises, thereby increasing project resilience.

Drawing on the theory of weak signals, 25 potential precursors of megaproject crises are extracted. Using exploratory structural equation modeling (ESEM), four models were tested to identify key crisis precursors based on a questionnaire survey of 168 megaproject participants in China. Analysis of variance (ANOVA) was employed to examine the differences in participants’ perceptions of key crisis precursors.

Four key crisis precursors were identified: Imbalance of Benefits and Costs, Irresponsible and Unqualified Key Participants, Regulatory Mechanisms Lacking Transparency and Flexibility, and Information Uncertainty and Asymmetry. Compared with senior executives, team members think that key crisis precursors related to regulatory mechanisms and key participants are more likely to trigger crises, which affects responsive actions toward detected crisis precursors. The findings help identify problems at an early stage and enable timely intervention to mitigate crises.

Detection of key crisis precursors allows for proactive and targeted actions to mitigate crises. Megaproject development is affected by institutional mechanisms. The influence of institutions on the effectiveness of crisis management needs further investigation.

Limited attention has been paid to recognizing precursors of megaproject crises. This study identifies four key crisis precursors by uncovering the interrelationships among potential precursors, which enables rapid adaptation to future crises.

The author explores the challenges to implementation of Industry 5.0 in the manufacturing sector, considering the developing economy context and studying the causal relationships among factors using an advanced causal modelling technique, the Grey Influence Analysis (GINA). The challenges were further classified based on importance and their influencing power.

The author uses the novel causal modelling technique of GINA to study and understand the influence relations among the challenges to implementation of Industry 5.0.

Based on the results from the expert response-based study in the Indian manufacturing industry, it is seen that the Regulatory challenges (RGC) appear to be the most important challenge that needs to be tackled first, while implementing Industry 5.0. Integration with existing systems and Ethical challenges (ETC) emerge as the second and third most important in the category of challenges, as per the results from the GINA analysis.

The RGC and the ETC need to be addressed prior to implementation and it is necessary to check whether the technologies comply with regulations and whether it creates serious job displacements. While implementation, the challenges with integration to existing systems can be appropriately tackled.

As a practical implication of the study, the author suggests that a proactive and reactive approach can be adopted to implement the Industry 5.0 concepts to reality. The RGC can be viewed for the adoption of technology, integration challenges can be viewed by understanding the existing systems, and ETC can be addressed by understanding the workforce in combination with technologies.

The shift in focus on sustainability and resilience has transformed the conventional industries to think beyond efficiency and productivity, toward being more responsible to society. The study analyzes the challenges to implementation of Industry 5.0 and the causal relations among them considering an expert response-based study.