Technological Innovation Research Articles

From Analogue to Algorithm: The Metamorphosis of Music Production Techniques—An Integrated Literature Review

This research explores the transformation of music production (MP) from traditional to smart digital approaches. The background of the study is rooted in the rapid digital advancements in MP over the last few decades, leading to a more robust and compact MP progression. The research focuses on understanding the music industry’s process and the impact of technology on MP, particularly artificial intelligence (AI). The research methodology employed is an Integrative Literature Review, based on both Scopus and Web of Science databases. After thoroughly examining titles and abstracts, 745 documents were identified as bibliographic data. From these, 40 selected articles were synthesised and analysed to identify patterns, influential authors, prominent journals and countries, dominant intellectual themes in MP, literature clustering and research gaps. The study classifies MP into four clusters: humanistic, technological, social and cultural and industrial perspectives. Each lens offers a unique vantage point to understand the intricate tapestry of the musical landscape. The findings reveal that AI has revolutionised MP, contributing to the creation of novel sounds, genres and music arrangements. It has also facilitated cross-cultural collaborations and reshaped the music business model. These findings imply that the intersection of technology and the music industry has transformed music creation, consumption and monetisation, presenting both challenges and opportunities for stakeholders. The study concludes that the future of MP is a captivating fusion of human creativity and technological prowess, where tradition and innovation coalesce to propel musical revolution to new heights.

Blockchain technology and consumers’ organic food consumption: a moderated mediation model of blockchain-based trust and perceived blockchain-related information transparency

Purpose While the application of blockchain technology in the organic food supply chain has been increasingly recognized, the extant knowledge of how blockchain-driven traceability influences consumer perceptions and purchase intentions remains underexplored. Grounded in the stimulus-organism-response theory, this study aims to construct a moderated mediation model to examine blockchain-enabled traceability’s direct and indirect impacts on organic food purchase intention through perceived blockchain-related information transparency, considering the moderating role of blockchain-based trust. Design/methodology/approach A purposive sample of 5,326 Vietnamese consumers was surveyed using the PROCESS macro to test the proposed hypotheses. Findings The findings indicate that blockchain-enabled traceability significantly enhances perceived blockchain-related information transparency, which positively influences organic food purchase intention. Furthermore, blockchain-based trust was found to positively moderate both the direct effect of transparency on purchase intention and the indirect impact of traceability on purchase intention through transparency. Practical implications Practical and managerial insights for stakeholders in the organic food sector are also discussed. Originality/value These results contribute to the literature by extending the stimulus-organism-response model to the context of blockchain technology in supply chains and highlighting the critical role of trust in moderating the effectiveness of technological innovations.

Transnational networks of energy communities as counterpower in the European Union renewable energy transition framework

Abstract This article explores the communicative process by which transnational networks of energy communities (ECs) in Europe build counterpower vis-a-vis the European Union (EU) institutional framework, with the purpose of effectively contributing to the shaping and management of the EU policy and regulatory framework for renewable energy transition. Such a process consists in the identification of obstacles to effective participation, the facilitation of access to information on EU regulation and policy frameworks, and the production of technical knowledge that reframes how renewable energy transition is understood as a field of political intervention. The impact of EC networks, and other networks of related community-led initiatives, on the EU energy policy framework is still relatively small when compared to centralized, large-scale providers of energy. It is constrained by how differently EU regulatory and policy packages address ‘techno-energetic systems’ in energy transition, as well as disparities in the transposition of EU legislation by Member States. Still, EC networks are building counterpower by facilitating bottom-up information and skill sharing, focusing on facilitating access to information on EU regulation and policy frameworks, as well as producing knowledge that frames the obstacles to effective participation of ECs in policymaking. It expands the understanding of renewable energy transition as a field of policy intervention beyond merely instrumental logic, centred on regulation and policy support to technological innovation, by mainstreaming a substantive logic based on a comprehensive socioecological framing that embeds energy transition in a multidimensional understanding of territorial development and governance.

Green Technology Innovation and Carbon Emission Performance of the Middle Reaches of the Yangtze River Urban Agglomeration: Mechanism and Spatio-Temporal Evolution

Amid the increasingly severe global climate change situation, green technology innovation has become an important means to promote carbon reduction and achieve the transition to a low-carbon economy. This study aims to systematically analyze the relationship between green technology innovation and carbon emission performance in the urban agglomeration of the middle reaches of the Yangtze River, exploring the degree of coupling and coordination between different cities. Utilizing data from 2011 to 2021, we employ methods such as the Coupling Coordination Degree Model and fixed effects model to achieve our objectives. Our findings reveal that both green technology innovation and carbon emission performance in this region are on an upward trend; however, the growth rate of green technology innovation showed a slowdown in 2021. Notably, there are disparities in the coupling coordination degree among cities, with economically developed areas exhibiting a faster growth rate. Moreover, green technology innovation significantly enhances carbon emission performance, and heterogeneity tests indicate that this impact is even more pronounced in cities with weaker environmental regulations. Despite regional differences, the overall trend remains positive.

Pathways to corporate green technological innovation: An analysis from the perspective of dynamic capabilities

Green technological innovation has become a pivotal tool for driving economic restructuring and achieving environmental sustainability. However, in the face of complex and volatile market and policy environments, a critical question remains: how can enterprises effectively select and implement innovation pathways to address environmental turbulence? Drawing on data from 14,751 Chinese listed companies from 2012 to 2022, this study employs dynamic capabilities theory and a fixed-effects panel model to examine the impact of dynamic capabilities on firms’ choice of green innovation pathways. Results show a significant positive influence of dynamic capabilities on green innovation, although this effect varies depending on the research and development model and the level of environmental turbulence. Firms with high dynamic capabilities tend to favor independent research and development, with an effect coefficient of 0.778 (p<0.01); firms with moderate dynamic capabilities benefit more from cooperative research and development, with a coefficient of 0.045 (p<0.01); and firms with lower dynamic capabilities primarily pursue green innovation through technology transactions, with a coefficient of 0.052 (p<0.01). Furthermore, environmental turbulence significantly moderates the relationship between dynamic capabilities and green innovation negatively, with an interaction coefficient of -0.088 (p<0.05), indicating that environmental uncertainty weakens the positive impact of dynamic capabilities.These findings suggest that firms can select suitable research and development models aligned with their level of dynamic capabilities and adopt flexible innovation strategies to effectively manage environmental turbulence. This study proposes the following policy recommendations: enterprises should strengthen their dynamic capabilities, particularly in knowledge acquisition, resource integration, and adaptability to environmental changes, to enhance their green innovation capacity. Additionally, the government should increase policy support for green technological innovation by offering financial subsidies, tax incentives, and intellectual property protections, helping enterprises maintain their innovation momentum amid environmental turbulence.

The Potential Bioactive Components in Fruits Wastes as Value-Added Products from the Fruit Processing Industry: A Review

Fruits are an important source of nutrition as most of them contain sufficient amounts of minerals, vitamins, and antioxidants. However, processing these fruits results in enormous waste, accounting for around 40% of total food output. Fruit processing industry waste includes discarded pods, peels, pulp, stones, and seeds all of which can pose environmental and sustainability challenges. Importance of discovering the potential of fruit processing waste into value added products lies in the fact that the fruit processing industries generates substantial waste, contributing to environmental pollution, greenhouse gas emissions, and resource depletion. The solid waste generated by the fruit processing industry may include toxic biological components that contaminate aqueous media, degrade drinking water quality, and cause gastrointestinal disorders in animals. However, Fruit processing waste or byproducts have the potential to be converted into value-added goods of economic importance like candied peel, oils, pectin, reformed fruit fragments, enzymes, and wine/vinegar candied peel. Converting this waste into valuable products can mitigate these issues, while also creating new revenue streams, jobs, and industries. Furthermore, value-added products from fruit processing waste can enhance food security, nutrition, and sustainability, supporting the United Nations' Sustainable Development Goals (SDGs). Additionally, research in this area can also lead to technological innovations, improved efficiency and scalability, enabling companies to gain a competitive edge in the growing market for sustainable products. This article provides an overview of all common and possible consumer friendly uses of fruit processing wastes and deriving value added products out of it.

Regional Development Policies in Afghanistan and Neighboring Countries: A Comparative Analysis

This essay explores the regional development policies applied in Afghanistan and its neighboring countries using a comparative qualitative analysis method. It focuses on infrastructure development, human capital investment, regional integration, and technological innovation policies. It compares development policies in China, Iran, Pakistan, and Afghanistan highlighting key projects which have fostered regional connectivity and economic growth. By comparing these policies, the essay evaluates how these initiatives have contributed to reducing regional disparities. This study aims to provide insights into how regional development policies can address Afghanistan’s socio-economic disparities and promote sustainable development. Despite notable successes, the research identifies ongoing challenges such as political instability, limited financial resources, and weak regional cooperation that impede further progress in Afghanistan. Key policy recommendations for Afghanistan include enhancing regional cooperation, investing in technological infrastructure, and developing human capital to achieve sustainable growth and stability.

Digitization and Green Technology Innovation of Chinese Firms Under Government Subsidy Policies

In the context of the digital economy, digital technology is an important driving force to promote green development and achieve the “dual-carbon goal”. Taking 1746 Shanghai and Shenzhen A-share enterprises from 2015 to 2022 as research objects, we empirically examine the relationship between government subsidies, digital transformation, and corporate green technology innovation. The study shows that (1) there is an inverted “U”-shaped relationship between government subsidies and corporate green technological innovation, while digital transformation plays a mediating role, and there is a difference between the quality and quantity of digital transformation in promoting green technological innovation. (2) Through the analysis of the moderating effect, it is found that market concentration has an obvious inhibitory effect between enterprise digital transformation and green technology innovation. (3) The study, by classifying the nature of enterprises, shows that the promotion effect of digital transformation on green technology innovation is weaker under heavily polluted enterprises than under non-heavily polluted enterprises, but the promotion interval of the relationship between government subsidies and green technology innovation is larger. Therefore, enterprises should make full use of digital technology to inject new impetus into their innovation activities, and the government should fully consider the appropriate space for enterprises to receive subsidies, make reasonable use of the incentive effect of government subsidies, and smooth the information docking channels for government and enterprise subsidies.

Intellectual property protection as catalyst for radical technological innovation in national research program teams through innovation milieu and group potentials

Based on the innovation-driven theory and the ability-motivation-opportunity (AMO) perspective, we explore the role of intellectual property protection (IPP) in enhancing the radical technological innovation (RTI) of national research project teams (NRPT). Survey data from 336 national research project team members from universities and enterprises were used to analyze the theoretical model of this study, bringing in the chain-mediated effects of innovation milieu (IM) and group potential (GP) for analysis, as well as two-stage hybrid partial least squares structural equation modeling (PLS-SEM) and artificial neural network techniques (ANN) to evaluate the hypotheses. The empirical findings of this paper show that the strength of IPP has a positive relationship with RTI of NRPT, and that IPP is the most important predictor of this. These new findings expand the scope of innovation-driven theory and AMO theory, and provide a constructive model for NRPT to provide suggestions for the improvement of IPP system as a way to improve the realization of RTI. The results of this study can guide policymakers in strengthening IPP systems to encourage research teams to explore innovation more proactively and to facilitate the reasonable sharing and transfer of innovative outcomes. By creating a supportive innovation environment and maximizing the potential of research teams, technological breakthroughs can be achieved more effectively.

Intellectual Capital: Revisiting an Analytical Model

The world’s economy is experiencing important changes brought on by diverse factors, namely technological advancements, the appearance and diffusion of personal computers, high-speed telecommunications, and the Internet. These technological changes have influenced the corporate environment, with recent decades denominated as the information economy, the digital economy, the economy of knowledge, a risk society, and the age of quality and innovation. To designate the key concept of the new economic era as “intellectual capital” implies a classification and evaluation effort in order to proceed with its generalization. In today’s world, the study of a model capable of adding explanatory diversity to intellectual capital is very relevant. We observed a true panoply of concepts in the analyzed models based on a literature review. The conceptual evolution during recent decades has motivated many investigations in this field, resulting from the phenomenon of globalization, growing technological innovation, and the observation of significant disparities between the market value and the accounting value of companies. This article describes an investigation carried out, presenting an explicative model of intellectual capital based on four distinct patterns, which are the aggregating factors of the existing conceptual diversity. We present the identification of a model with two axes, x (the type of knowledge, from tacit to explicit) and y (the capital of knowledge, from human to structural), which represents the conceptual diversity mirrored in four quadrants resulting from the research carried out with an initial exploratory study and two following studies with 45 and 72 specialists. In this article we analyze the Martins model, which proves to be essential for systematizing and mapping the dimensions that intellectual capital includes. This model can be used to identify the different aspects of intellectual capital in an organization and thus contribute to its understanding, optimization and good management.

Examining the Influence of Renewable Energy Consumption, Technological Innovation, and Export Diversification on Economic Growth: Empirical Insights from E-7 Nations

The present research focuses on the endogenous development theory and investigates the relationships between economic growth (dependent variable) and renewable energy consumption, technological innovation, and export diversification (independent variables) in seven emerging economies known as the E-7. Previous studies have examined these factors individually but have not explored their combined impact on the E-7 economies. Therefore, this study contributes to the existing literature on the effects of renewable energy consumption, technological advancement, and export diversification on economic development. This study analyses the dynamic connections among these variables in seven selected emerging countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Panel data from 1990 to 2022 are utilised, and various methodologies, including panel cointegration, the pooled mean group–autoregressive distributed lag (PMG-ARDL) estimator, and robustness tests, such as the fully modified ordinary least square and dynamic ordinary least square tests, are employed. Empirical inferences are drawn using the Dumitrescu–Hurlin panel causality (DHC) test, and the long-run relationships among the variables are validated using the Westerlund residual cointegration tests. The results from the PMG-ARDL estimator show that renewable energy consumption, technological advancement, and export diversification have a significant and positive impact on economic expansion, confirming the validity of the endogenous growth model in the E-7 countries. The control variable of the financial sector has a positive but insignificant effect on economic growth, while trade openness has a negative and significant effect. The DHC test results indicate a neutral feedback effect of renewable energy consumption on economic growth. The findings also reveal a unidirectional causal relationship between technological innovation and economic growth. Overall, these findings provide valuable insights for economic policymakers in the E-7 countries. By removing barriers to renewable energy consumption, technological innovation, and export diversification, policymakers can promote sustainable economic development.

Does the cross-border e-commerce comprehensive pilot area policy help to improve the level of urban technological innovation?

This study assesses the policy effects on the level of urban technological innovation (LUTI) in three pilot cities (Hefei, Zhengzhou, and Shenyang) that have implemented the cross-border e-commerce comprehensive pilot area (CECPA) policy. First, based on urban panel data from 2006 to 2021, we use the entropy-TOPSIS model to measure LUTI. Further, this study applies the synthetic control method (SCM) to evaluate the effect of policy treatment on three cities. Additionally, this study analyzes two mechanism variables-urbanization rate and average salary level of urban employees-to assess the internal mechanisms affecting LUTI. Lastly, we provide the corresponding countermeasure enlightenment. Empirical evidence suggests that the CECPA policy significantly improves the LUTI in cities. From 2016 to 2021, the LUTI in Hefei rose from 0.4508 to 0.8135, and in Zhengzhou from 0.5316 to 0.7296. Shenyang's LUTI increased from 0.7427 to 0.8307 from 2018 to 2021. Overall, the policy has had a positive effect on the development of technological innovation in cities. In particular, the CECPA policy has a positive impact on the LUTI by increasing the urbanization rate and increasing the average salary level of employees. These results provide a good example of cities implementing CECPA policy and carrying out technological innovation reforms.

Research on the Digital Economy, Technological Innovation, and Transformation and Upgrading of the Manufacturing Industry in Shandong Province

Based on panel data from 16 cities in Shandong Province from 2013 to 2022, and grounded in theoretical analysis, this paper constructs a benchmark regression model, a mediating effect model, and a heterogeneity test for empirical analysis. The results show that: (1) the digital economy has a significant positive effect on promoting the transformation and upgrading of the manufacturing industry in Shandong Province; (2) the digital economy can drive the transformation and upgrading of the manufacturing industry through technological innovation; and (3) the impact of the digital economy on the transformation and upgrading of the manufacturing industry in Shandong Province is evidently heterogeneous.

Innovations and Challenges in Economic Census Methodology: A Study by the Bureau of Statistics

The Bureau of Statistics has demonstrated a forward-looking strategic approach in its economic census. By leveraging dual innovations in technology and management, and incorporating modern technologies such as big data, cloud computing, and the Internet of Things, it has deepened the reform of the census methodology. Additionally, the Bureau has built a multi-dimensional collaborative network that enhances international cooperation, departmental coordination, and public participation. This approach not only addresses the limitations of traditional statistical methods in a complex economic environment but also improves data quality and census efficiency, providing an accurate and reliable foundation for national economic decision-making.

Technological Innovation in International Training and Advancing Health Services: Two Cases During the COVID-19 Pandemic

ABSTRACT Beginning in 2020, the COVID-19 pandemic limited onsite international activities and challenged us to plan and implement new ways of collaboration. We reviewed our online trials during a three-year period to better understand how to use digital technologies to continue knowledge and skills transfer. In this cross-national case study, we compare two illustrative cases: Japanese experts training Indonesian health professionals for participatory school health education, and Swiss experts training Malagasy health providers for respectful obstetric and newborn emergencies. We first describe our cases, referring to Vargo’s framework for summarizing reports on digital technology usage. Second, we draw commonalities between the two cases. Third, gleaned from these experiences during the pandemic, we offer a practical framework for efficient and effective international collaboration using new technologies. For both cases, basic digital technologies, such as online meetings and e-mailing, were used and training sessions were successfully conducted. Trusting relationships between the training and participant groups were in place before the pandemic. This led to enthusiasm for continuing learning even after the pandemic started. Our case comparison presents the usefulness of digital technologies for continuing international collaboration and highlights the importance of human factors, such as trusting relationships and enthusiasm to pursue a shared goal, as the basic condition for success.

COMMUNITY INTERVENTIONS TO REDUCE MATERNAL MORTALITY IN LOW-RESOURCE AREAS

Maternal mortality, defined as the death of women during pregnancy, childbirth or in the postpartum period, continues to be a serious public health problem, especially in low-resource areas. Factors such as limited access to quality healthcare, lack of infrastructure, shortage of qualified professionals and socio-economic inequalities contribute to high mortality rates. In many of these regions, community interventions have been key to reducing maternal mortality by providing direct assistance to pregnant women, promoting health care education and strengthening the link between communities and medical services. This study seeks to analyze community interventions implemented in low-resource areas to reduce maternal mortality, evaluating their strategies, challenges and the results obtained in improving maternal survival rates. This study is a systematic review that investigates the effectiveness of maternal health interventions in low- and middle-income countries, focusing on skilled birth attendant programs, community transport, and technological innovations. The analyses were carried out in databases such as PubMed, BMC Pregnancy and Childbirth and African Journal of Reproductive Health, using data from articles published between 2015 and 2021. Community interventions to reduce maternal mortality range from health education programs, training traditional birth attendants and strengthening maternal and child support networks. One of the main approaches involves training community health agents, who work directly in communities, providing basic prenatal care, referral to medical services in cases of risk and promoting knowledge about signs of pregnancy complications. These actions are especially important in remote areas, where access to health facilities is limited. Another key aspect of these interventions is the promotion of safe practices during childbirth and the strengthening of emergency transport systems, ensuring that pregnant women at risk can be transferred to health centers equipped to deal with complications. The introduction of simple technologies, such as clean delivery kits and essential medicines, has shown promising results in reducing infections and hemorrhages, which are primary causes of maternal mortality. Awareness campaigns also play a crucial role, educating the population about the importance of prenatal care, proper nutrition and birth assistance in controlled environments. These initiatives aim not only to improve knowledge about maternal health, but also to combat cultural and social barriers that can prevent pregnant women from seeking medical care in a timely manner. It is concluded that community interventions have proven to be an effective approach to reducing maternal mortality in low-resource areas. Training health workers, implementing safe delivery practices and raising awareness about antenatal care are strategies that have contributed significantly to improving maternal health outcomes. However, for these interventions to be sustainable and scaled up, continued public policy support, adequate funding and the integration of these actions with formal health systems are essential.

The Energy Effect of Blockchain Technology Innovation in the Industry 5.0 Era--From the Perspective of Carbon Emissions

In the era of Industry 5.0, innovation in blockchain technology is expected to have a significant impact on energy efficiency and carbon emissions, especially in hybrid energy systems. This paper has obtained the innovation data on the blockchain patent of listed companies in China from 2010 to 2022 by machine learning and text analysis methodology of large language model. On this basis, the relationship between the enterprises’ blockchain technology innovation and the intensity of fossil energy consumption has been discussed. The study found that (1) the enterprises’ blockchain technology innovation is able to reduce the intensity of fossil energy consumption, and this conclusion remains valid via controlling for endogeneity and upon the completion of robustness test. (2) In terms of the mechanism, the enterprises’ blockchain technology innovation can achieve energy transition by reducing the cost of internal control, strengthening external supervision, improving the efficiency of resource allocation and strengthening the channels of supply chain management. (3) Further research has found that the energy effects as a result of blockchain technology innovation help to improve operational efficiency and lower the level of carbon emission. Our research provides scientific support for breaking the "technological energy paradox" in the field of energy economy while providing empirical evidence of "blockchain carbon reduction" for technologies such as blockchain BaaS alliance, cross-operator network spectrum, and shared base stations that will be applied on a large scale in the Industry 5.0 Era.

What influences the development of wine-producing regions? New economic opportunities in the eastern foothills of the Helan Mountains in China

The formation and development of wine regions require unique natural conditions and hundreds of years of technical and cultural accumulation. The development of the wine industry at the eastern foot of Helan Mountain in China, in addition to the appropriate geographical environment, the technical migration, and talent flow supported by consistent policies, have improved the allocation ability of resource factors and conversion efficiency, making it a world-renowned new wine-producing region in just 40 years. This particular mechanism deserves attention as new industries develop in other parts of the world. Using the methods of spatial autocorrelation, hot spot analysis, and geographic detector, this paper comprehensively analyzes the growth and spatial evolution characteristics of wineries in the eastern foot of Helan Mountain in China and deeply discusses the mechanism of the interaction between the localization of global floating capital and China's unique regional economic policies. It is found that the local selection of global floating capital has a spatial locking effect on the formation of CHMWR, and the rolling support policies of China's central and local governments promote the rapid expansion and regional spread of the number and scale of wineries, with significant spatial agglomeration and spatial diffusion. The profound mechanism of such changes lies in the dual interaction of the local selection of global liquid capital and the Chinese government's wine-producing policies adapted to the geographical environment. In this process, a series of internal and external factors such as the innovation of grape planting and wine-making technology, consumer market, and government behavior have accelerated the continuous growth of the wine-producing region at the eastern foot of Helan Mountain in Ningxia. This paper adds a new understanding and deep understanding of the interaction between the local implantation of economic globalization and the macro-control policies of the Chinese government.

Utilization of Biomass Waste Through Small-Scale Gasification Technology in the Eastern Cape Province in South Africa: Towards the Achievement of Sustainable Development Goal Number 7

Despite being resource-richly endowed with various energy sources, and despite the connection of 89.8% of the households to the grid in South Africa, the Eastern Cape province, as compared to other provinces, has the lowest level of grid connection of about 64.5%. Some of the rural poor households in the Eastern Cape province supplement their free basic electricity with unclean energy alternatives. Using unclean energy alternatives is not only detrimental to the environment and health of the people, but it is a sign of energy poverty and among the contributing factors to depesantization, deagrarianization, and deindustrialization which prolongs the underdevelopment in rural areas. Innovation in energy technologies is a key ingredient in meaningful rural development. The utilization of small-scale biomass gasification technologies can be a solution to the South African energy crisis in rural areas, and it is in line with sustainable development goal number 7, which is about ensuring access to affordable, reliable, sustainable, and modern energy for all. Alternative renewable energy sources cannot be ignored when dealing with the energy crises in South Africa. Renewable energy sources in the country include biomass, solar, wind, and hydropower. Despite its low utilization in the Eastern Cape province, small-scale biomass gasification technology remains pivotal in reducing energy crisis by producing electricity. However, the affordability of biomass gasification technology also plays a role in whether people will accept small-scale biomass gasification technology. The purpose of this paper is to determine the possibilities of using small-scale biomass gasification technology. This paper gives a comprehensive review of small-scale biomass gasification technology potential in the Eastern Cape province and the link between acceptance of small-scale gasification technology and affordability by evaluating the availability of biomass sources in the province and achievements with regards to small-scale biomass gasification. This paper also covers the impact of biomass gasification technology integration in the energy grid, what needs to be taken into consideration before its installation, its benefits and the barriers to its development in Eastern Cape province.

Nano Material Innovation in Enhancing Corrosion Resistance of Offshore Structures

Offshore structures are constantly exposed to the corrosive marine environment, causing significant material degradation and potentially jeopardizing structural integrity. This research explores recent innovations in nanomaterial technology to improve the corrosion resistance of offshore structures. The main focus is given to the development of nano-composite coatings incorporating metal oxide nanoparticles and carbon nanotubes. An electrophoretic deposition method was used to apply the coatings on steel substrates, followed by characterization using scanning electron microscopy (SEM) and electrochemical impedance spectroscopy (EIS). Results showed a significant improvement in corrosion resistance, with the nano-composite coatings exhibiting a reduction in corrosion rate of up to 85% compared to conventional coatings. In addition, these coatings exhibited superior adhesion and abrasion resistance in simulated extreme marine conditions. These findings highlight the great potential of nanomaterials in extending the service life and improving the reliability of offshore structures, with important implications for the oil and gas and offshore renewable energy industries.