Value Of Innovation Research Articles

Evaluation of rural tourism development level using BERT-enhanced deep learning model and BP algorithm

To address the insufficient expressive capabilities of traditional methods in assessing the development level of rural tourism, this study explores the fusion application of the Bidirectional Encoder Representations from Transformers (BERT) and the Back Propagation (BP) algorithm to enhance the accuracy and comprehensiveness of rural tourism development assessment. Firstly, this study introduces the BERT deep learning model and its applications in natural language processing, alongside the role of the BP algorithm in pattern recognition and predictive analysis. Subsequently, a framework for assessing rural tourism development levels, integrating BERT and the BP algorithm, is proposed. This framework collects multidimensional rural tourism-related data and utilizes the BERT model for sentiment analysis and topic extraction from textual data. Empirical analysis of rural tourism development in a specific region validates the effectiveness of the proposed approach. Experimental results demonstrate: (1) The model achieves an accuracy of 84.33% and an F1 score of 85.33% on the publicly available Laptop dataset, with a processing time of 20 s, significantly outperforming other methods. Compared to traditional approaches, the proposed method accurately captures correlations between textual information and numerical data, thereby enhancing the credibility and accuracy of assessment results. (2) From the ablation study results, it is evident that removing any component from the model leads to performance degradation. Specifically, removing the Bidirectional Gated Recurrent Unit (BiGRU) reduces accuracy and F1 scores to 78.21% and 76.33% on the Laptop dataset, and to 85.10% and 70.45% on the Tourist_F dataset. Removing Text Convolutional Neural Network (CNN) reduces accuracy and F1 scores to 79.34% and 77.56% on the Laptop dataset, and to 86.25% and 72.11% on the Tourist_F dataset. The most significant performance decline occurs upon removing BERT, with accuracy and F1 scores decreasing to 70.14% and 66.43% on the Laptop dataset, and to 78.45% and 60.33% on the Tourist_F dataset. These results indicate that BiGcRU, TextCNN, and BERT each contribute significantly to the model’s performance. This study provides substantial support for advancing sustainable development in rural tourism, offering significant practical and innovative value.

Research on Work Motivation and Innovative Behavior

With the continuous progress of science and technology, the output of employees' innovative behavior in the work scene becomes more and more valuable. However, how to develop employees' innovative behavior is worth thinking about. This study reflects that there is a positive correlation between employee motivation and innovative behavior. The premise of improving employees' innovative behavior is based on giving employees effective external motivation. If employees are motivated by their love of work and willingness to pay for it, then innovative behavior will be greatly improved. Other than that, the leadership style plays an important role. Leaders not only need to encourage innovation through positive incentives and resource support but also need to demonstrate the value of innovation through their own behavior. A leader's openness and commitment to innovation can greatly influence employee behavior and organizational culture. To sum up, through the comprehensive use of a variety of incentive means and culture-shaping strategies, accompanied by the active participation of leaders, the innovative behavior of employees can be effectively cultivated and promoted, thus bringing long-term competitive advantages and development potential to the organization.

Health technology assessment and innovation: here to help or hinder?

Innovative health technologies offer much to patients, clinicians, and health systems. Policy makers can, however, be slow to embrace innovation for many reasons, including a less robust body of evidence, perceived high costs, and a fear that once technologies enter the health system, they will be difficult to remove. Health technology funding decisions are usually made after a rigorous health technology assessment (HTA) process, including a cost analysis. However, by focusing on therapeutic value and cost-savings, the traditional HTA framework often fails to capture innovation in the assessment process. How HTA defines, evaluates, and values innovation is currently inconsistent, and it is generally agreed that by explicitly defining innovation would recognize and reward and, in turn, stimulate, encourage, and incentivize future innovation in the system. To foster innovation in health technology, policy needs to be innovative and utilize other HTA tools to inform decision making including horizon scanning, multicriteria decision analysis, and funding mechanisms such as managed agreements and coverage with evidence development. When properly supported and incentivized, and by shifting the focus from cost to investment, innovation in health technology such as genomics, point-of-care testing, and digital health may deliver better patient outcomes. Industry and agency members of the Health Technology Assessment International Asia Policy Forum (APF) met in Taiwan in November 2023 to discuss the potential of HTA to foster innovation, especially in the Asia region. Discussions and presentations during the 2023 APF were informed by a background paper, which forms the basis of this paper.

The impact of digital industrialization and industrial digitalization on regional green innovation efficiency in China -From the perspective of the innovation value chain

To systematically detect the influence of digital economy on regional green innovation, this study regards regional green innovation as a two-stage sequential process, and constructs a network SBM model to evaluate the overall and stage green innovation efficiency of 30 provinces in China from 2011 to 2020. Digital economy development is decomposed into digital industrialization and industrial digitalization, and an empirical study based on fixed effects regression model of panel data is conducted to determine their influence on the overall and stage green innovation efficiency. The results suggest the following: (1) The overall efficiency in China remained at a low level, with the efficiency of research and development being slightly higher than that of achievement transformation. (2) From the national perspective, there is no discernible effect of digital industrialization on overall efficiency, but there is a negative impact on research and development and a significant positive impact on achievement transformation. Industrial digitalization significantly improves achievement transformation and overall efficiency but has no discernible effect on the research and development stage. (3) In the eastern region, industrial digitalization promotes the improvement of both stages and overall efficiency, while digital industrialization does not have a significant impact. In the central region, digital industrialization and industrial digitalization have significant positive impacts on both overall efficiency and the efficiency of achievement transformation but have no impact on research and development. In the western region, digital industrialization inhibits the overall and achievement transformation efficiency, and industrial digitalization does not have significant impact on the overall efficiency or the efficiency of each stage. Finally, some relevant policy recommendations are proposed.

Developing Methods for Assessing the Impact of Digital Innovations on the Economic Efficiency of Enterprises: Methodology for Measuring ROI of Digital Projects

This study aims to develop methodologies for assessing the return on investment (ROI) of digital projects, crucial for understanding the economic impact of digital innovations on enterprises. Traditional ROI metrics often fail to capture the comprehensive value generated by digital projects. The proposed integrative framework employs advanced analytical methods, including cost-benefit analysis, real options analysis, and predictive analytics, to evaluate both tangible and intangible benefits. It incorporates dynamic risk management and scenario planning to address uncertainties and future challenges. Continuous feedback and iterative improvements ensure the framework's accuracy and relevance, enabling enterprises to optimize economic efficiency and strategic decision-making. This holistic approach offers an understanding of the multifaceted value of digital innovations.

The impact of patent infringement litigation decisions on firms’ innovation performance in China

The judiciary protects the value of innovation through remedies such as injunctions and damages when patent rights are infringed, adjusting the expected returns on future innovation activities for firms. Based on data from 1,062 Chinese firms involved in Patent Infringement Litigations (PILs), this study uses three-way fixed-effects Poisson panel regression models to examine the dynamic impacts of a PIL win-or-lose decision on breakthrough and incremental innovation performance for plaintiff and defendant firms. The study finds that plaintiff micro and small-sized enterprises (MSEs) can only engage in short-term breakthrough innovation after winning a PIL. Plaintiff medium and large-sized enterprises (MLEs) tend to adopt the patent defence strategy after winning, while losing a case positively impacts their breakthrough and incremental innovation. Defendant firms adopt the strategy from incremental innovation to breakthrough innovation after winning, while losing inhibits their innovation. The current Chinese patent system has an imbalance in incentivizing innovation for MSEs. Whether winning or losing, defendant MSEs participating in litigation significantly inhibit their innovation performance at different levels. This paper provides a multidimensional angle for studying the relationship between patent protection and corporate innovation.

Analysis Of City Government And Farming Community Partnership In Food Security Policy: Urban Farming Program

The urban farming program is the city government policy to overcome the food security problem for the community's welfare. The study aims to discuss the partnership between the city government and the urban farming community in an urban farming program. It utilizes agricultural land and urban garden as the place for urban agroecological transformation as part of urban food security policy through the partnership capacity theoretical approach from Mathers, et al. This analytic descriptive study uses the case survey method, and data collection is obtained from the unstructured in-depth interview, focus group discussion, and observation in Jeruk urban village in Lakarsantri district in Surabaya. The findings show the success of the partnership between the department of food security and agriculture in Surabaya and Sri Sedono farmer group in the management of the integrated agricultural center. Urban farming program is influenced by mutual consensus which is beneficial to increase crop productivity. However, the result also indicates that the skill base factor is not optimal because of the limited personnel in PPL. Furthermore, the farmers are concerned about adopting new plant varieties. We suggest that the urban farming program can be sustainable and needs to increase the number of personnel in PPL. In addition, it is necessary to increase the entrepreneurial spirit of farmers so that they have innovation values to adopt new crop varieties, and the discipline through the increase of intensity assistance from PPL towards independent, skilled, and professional farmers.

Conducting marine genetic research for whom? Mapping knowledge flows from science to patents

Marine genetic resources hold great value for biotechnological innovation and sustainability-oriented research. However, studies indicate that intellectual property rights pertaining to these resources are concentrated in a handful of companies and countries, triggering contentious international debates. This paper highlights an overlooked dimension: the flow of scientific knowledge in the provision and use of marine genetic research. We identified 23,417 scientific studies that use marine genetic sequences, traced patent references to these studies, and revealed provider and user countries. We found that molecular biological research, oftentimes on bacterial species, attracted the most patenting interest. Some countries owned relatively more patents than they provided in science, with the U.S. benefiting the most from available research. Science by developing countries’ researchers saw limited uptake in patents. These findings aim to inform international biodiversity regimes, such as the UN Treaty on Biodiversity Beyond National Jurisdiction (BBNJ), on how to more equitably distribute marine genetic resources’ economic, socio-cultural, and ecological benefits.

PSYCHOLOGICAL AND HISTORICAL ANALYSIS OF THE MASS CONSCIOUSNESS OF PEASANTS DURING PUGACHEV’S REBELLION

The article describes the prerequisites, factors and characteristics of mass consciousness of peasants during the years of Pugachev’s Rebellion (1773-1775). The analysis is carried out on the basis of the model of the functional system of the psyche, differentiation-integration theory of development, social constructivism, psychological- historical and intellectual-historical reconstruction. The peasant rebellion is considered as a result of the functioning of mass consciousness of this social group under the influence of historical, political and economic factors. It is shown that the peasant consciousness was based on communal identity, and its inherent values of stability and tradition were in conflict with the innovative values of secularism and rationalism that had entered Russia since the times of Peter the Great’s reforms. The inconsistency of the authorities’ actions with the needs of the population led to the emergence of social problems and determined behavioural activity in the form of riots.

User-Centered Design Strategies for Age-Friendly Mobile News Apps

With the increasing elderly population, catering to the digital news needs of the elderly has become increasingly crucial. This study employs factor analysis to explore the requirements and challenges of elderly individuals when using mobile news applications, aiming to provide strategies and directions for age-friendly design of mobile news applications. The research first summarizes a series of key factors that influence elderly users when using mobile news applications, categorizing them into three primary factors: usability and navigation, visual presentation and readability, and interaction and touch controls. Further entropy weight analysis reveals that the usability and navigation factor holds the highest priority for improvement, followed by visual presentation and readability, and lastly, interaction and touch controls. Based on these findings, we propose a series of age-friendly design strategies, including rational interface layout, clear text and images, and user-friendly interaction controls. These strategies not only enhance the digital news experience for elderly users but also offer valuable guidance and innovation for the field of mobile application design.

The Research and Analysis of the Application of Artistic Design Thinking in Design

The purpose is to study the application thinking of art design, with the unified expansion of conscious initiative as the core. Start with the essence and connotation of artistic design thinking. This paper discusses the nature, function, and application of artistic design thinking and the value of design. First of all, this paper analyzes “art design thinking”, which is divided into objective content and subjective mind fusion. It is a thinking mode applicable to the field of art, with a certain content of artistic thought and a consistent way of thinking, and emphasizes the principle of people-oriented, focusing on emotional experience and unique aesthetics. The paper explains that the characteristics of art design thinking are to understand things, to change things, and to associate things, and emphasizes that design should return to things eventually. Art design thinking is analyzed from the nature, function, and application of design thinking. Practical value, innovative value. In the design, the effective use of the thinking of art design can optimize the design. Then, it analyzes the original function and play of artistic design thinking in design. This involves the cognition, understanding, and comprehensive thinking of the original thing to combine image and rational thinking to extend and optimize creative ideas. Imagination and artistic thinking are transformed into new practical creativity, and art design thinking is used to optimize the design, so that the design has practical aesthetic value, to meet the needs of consumers. In terms of application analysis, it emphasizes the integration of cultural elements into artistic design thinking. This integration reflects that the designer and the spirit of creation cannot be separated, and the spirit of creation is fully reflected.

A Study of Traditional Motifs in the Costumes of the Dong Ethnic Group in Qiandongnan: The Evolution and Protection of Cultural Symbols

The Dong costume patterns in Qiandongnan have a long history and distinctive regional cultural characteristics, and their patterns contain high cultural and emotional values. Nowadays, the development of traditional patterns and cultural symbols of Dong costumes is facing many new challenges, which require expanding the application carriers of the patterns and giving them a new life. This is the value of inheritance, revitalization, and innovation of costume patterns, as well as a new direction for the development of Dong traditional costume patterns. In this thesis, the origin, connotation, and cultural symbols of Dong costumes in Qiandongnan are studied in depth, aiming to explore their role in Dong's cultural inheritance. Through the historical tracing and cultural connotation analysis of Dong costumes, we find that they are not only a decorative tool but also a vivid expression of Dong culture relying on the profound historical background. Through the comprehensive study of Dong costumes, the cultural heritage of traditional patterns of Dong costumes not only provides strong support for the cultural inheritance of the Dong people but also provides useful inspiration for the protection and inheritance of other ethnic cultures. By strengthening the cognition and dissemination of cultural symbols, we are expected to promote exchanges between different cultures and realize communal development.

Pharmaceutical innovativeness index: methodological approach for assessing the value of medicines – a case study of oncology drugs

ABSTRACT Background We propose a framework to assess the value of pharmaceutical innovations, with explicit clinical and methodological parameters, based on the therapeutic value and health needs. Research design and methods The study was based on the adaptation of health technology assessment methods documented in the literature, which was applied to a sample of oncological drugs. Difficulties and issues during the application of those tools were identified and addressed to develop a new framework with new and revised domains and clear classification criterion for each domain. Scores were assigned to each level and domain according to their relevance to generate the final score of innovativeness. Results The Pharmaceutical Innovation Index (PII) includes four domains, two related to clinical and social dimensions – Therapeutic Need and Added Therapeutic Value – and other two about methodological features – Study Design and Quality (risk of bias). The scores combined after assigned to each domain results Index of the Innovativeness of the medicines represents the degree of pharmaceutical innovation. Conclusion This work proposes a transparent methodology with well-defined criteria and script; the algorithm developed with authors’ weightings and criteria may be switched to best adjust to other applications, perspective or clinical indications, while keeping the transparency and objectiveness.

Research on the design of narrative space construction: a case study of the revitalization project of the Macau Lychee Bowl Shipyard

ABSTRACT This study investigates the revitalization project of the Macao Lychee Bowl Shipyard, an industrial heritage site, aiming to uncover the expressive mechanism of narrativity within public spaces and thereby forge a fresh understanding of contemporary narrative space creation. Employing qualitative research methods such as participatory observation, spatial photography, literature review, and historical data gathering, the study unveils practical approaches for crafting narrative spaces in design research. These encompass multiple aspects, including the preservation and innovation of heritage value, the integration of social issues, user engagement, symbolism and expressiveness, non-verbal narratives, cultural and skill reproduction. The findings reveal that through governmental steering, project strategizing, community involvement, design competitions, and educational initiatives, the Lychee Bowl Shipyard has undergone a successful transformation into a versatile public space. This endeavor not only ensures the preservation of industrial heritage but also rejuvenates the site’s charm and cultural dynamism. The study offers a suite of strategies and practical avenues grounded in narrative space creation for the revitalization of industrial heritage, serving as a guiding beacon for heritage conservation, urban development, and communal engagement.

Low-value surgical innovation under peer-review: A sham study of abstracts on proximal humerus fractures submitted to scientific meetings.

Innovation has in common the promise of benefit for patients; however, past experience has shown that this promise is not always delivered. Instead, low-value innovation might encourage treatment variation and dilute the available body of evidence. This study aims to investigate (1) whether the peer-review process is capable of filtering out low-value innovation appropriately, and (2) whether low-value surgical innovation would be preferred more often than nonoperative innovation by peer-reviewers in the treatment of proximal humeral fractures in the elderly. Two duplicated sham scientific abstracts, respectively introducing a low-value surgical innovation and a valuable nonsurgical innovation, were submitted to nineteen peer-reviewed scientific meetings worldwide for orthopedic trauma surgery with submission deadlines between 01/01/2022 and 31/12/2022. Decision regarding abstract acceptance was compared. There was a high acceptance rate for the abstract introducing low-value surgical innovation (12 out of 19 (63.2 %)), which was higher than that of a nonoperative duplicate (10 out of 19 (52.6 %)), but this difference was not statistically significant (p = 0.5). The majority of the ten meetings that accepted both abstracts placed both in equivalent programmatic tiers (oral presentation (4) and poster presentation (2)). In three meetings, the surgical abstract received superior program placement (oral presentation). In one case, it was the opposite. There is a high acceptance rate for low-value surgical innovation among peer-reviewed scientific meetings. However, we can not conclude that low-value surgical innovation is preferred more often than nonoperative innovation by peer-reviewers as the differences in acceptance rate were small and not statistically significant. The peer-review process may be suitable as value-based medicine emerges. Scientists should be encouraged to pursue value-based innovation.

Room temperature stimulated long-persistent phosphorescence of polyurethane/SrAl2O4: Eu2+, Dy3+ composite material for textile-based applications

Textile-based SrAl2O4(SAO): Eu2+, Dy3+ composite material offers functional, aesthetic, and safety benefits, making it a valuable innovation with diverse applications in various industries. The susceptibility of textile-based SAO: Eu2+, Dy3+ composite material is degraded with repeated washing, which can diminish its luminescent properties over time. Our major goal was to create a cloth with durable photoluminescent qualities by incorporating waterborne polyurethane (WPU) as a protective coating that could generate light constantly without a light source. Through a systematic approach involving the synthesis of photoluminescent SAO: Eu2+, Dy3+ particles and their integration into a cloth substrate with waterborne polyurethane, a durable cloth with enhanced durability, protection, and adhesion properties are achieved. Cotton fabric and a rotary screen-printing machine were used to apply a thin, translucent layer of glow-in-the-dark pigment to produce the photoluminescence characteristics of the developed cloth revealing efficient light absorption and emission behavior, with emission spectra centered around absorption wavelength between 560 nm and 880 nm, with a 500 nm emission peak, exhibiting of the presence of Eu2+ and Dy3+ activator ions. In addition, to assess the comfort of the treated cotton fabric, a fabroOmeter test was conducted, that provided insights into its overall comfort level. Furthermore, the cloth demonstrates excellent stability and longevity of photoluminescence under various environmental conditions, making it suitable for applications requiring high visibility, safety signage, decorative elements, and apparel wear. This research underscores the potential of polyurethane-enhanced photoluminescent textiles as versatile and sustainable solutions for diverse practical applications.

Cognitive Modelling of Service Design Team Based on Genetic Algorithms

Currently, the development of the world economy plays a prominent role in the service industry. Modeling the service industry is an important issue that focuses on the service sector. Therefore, this study created a cognitive model for a service design team and how to build a team based on it. These models and methods aim to promote and realize commercial and social value innovations in service design. However, this study sets two objectives by focusing on the process and analysis as follows: (1) studying the process of cognitive mechanisms for service design and (2) analyzing and designing a model for the establishment of a service design team. This method defines the main focus of the service design team management study using genetic algorithms that search based on the probability of motivation. The process involves designing and creating a cognitive model for services using genetic algorithms. The results show a team management model designed using cognitive mechanisms. These models and methodologies promote the realization of innovative commercial and social value in service design, resulting in satisfactory and reliable results.

Influence of educational composition on firm innovation and performance

ABSTRACT Despite a strong focus on innovation from both politicians and managers, our current understanding of the relationship between managers’ education level and the educational composition of the workforce in terms of innovation and their joint association with performance remains limited. For example, while most studies include workforce quality as a control, and recognize its importance, there is still little knowledge about how it influences the innovation process. The data and estimation framework used in this study enable for a detailed analysis of the importance of both managers’ and workers’ skill intensity and workers’ skill diversity throughout the sequential innovation process that transforms ideas into valuable innovation in three stages. In addition, the availability of panel data allows us to account for various econometric issues, such as sample selection bias, reverse causality, simultaneity, and measurement errors. We conclude that educated managers, together with a balanced workforce across education length and field enhance both innovation and performance. Even more interestingly, we show that the educational level of managers influences the innovation process primarily through the recruitment of more educated workers with diverse educations. And the importance of including the indirect effect of educational composition through R&D decisions on the likelihood of innovation.

The digital citizen as technoliberal subject: The politics of constitutive rhetoric in the European Union’s Digital Decade

ABSTRACT Published on January 26, 2022, the European Declaration of Digital Rights and Principles (EDDRP) enshrined the European Union’s goals for Europe’s digital future, a document representing the policy agenda of the European Union’s Digital Decade 2030. This policy program and the accompanying declaration aim to expand digital services and outline digital rights. This essay deploys an ideological criticism of the EU’s Digital Decade, specifically in regard to its neoliberal vision of digital citizenship, situated in the context of constitutive rhetoric, neoliberalism, surveillance capitalism, and EU tech regulation. I identify three priorities of the Digital Decade that have declaratory and material manifestations. First, the value of innovation presents democracy as a practice improved through further technological advancement, despite mounting evidence to the contrary. Second, the idea of connection to the “digital public sphere” exemplifies the neo-colonial ideology inherent in technoliberalism. Third, the cybersecurity imperative of the Digital Decade reveals the contours of acceptable and unacceptable expressions of citizenship. I situate these three technoliberal features of the Digital Decade as “weak” democratic promises that expose the material limitations of constitutive rhetorics. This essay concludes with a call to technoskepticism, a hermeneutic attuned to the challenges of declaring citizenship practices in digital space.

How do global value chains respond to climate change? A case study of Chinese manufacturing firms

This study investigates climate risk and its effects on global value chain (GVC) participation, with a focus on the impact of drought on the export value-added ratio (DVAR) of Chinese manufacturing firms. Using fixed effects (FE) and system GMM models, the main findings are: Drought significantly reduces manufacturing firms' DVAR, with the lagged dependent variable showing a strong persistence effect and an even greater impact in the second lag period. This impact varies based on the firm's location, the complexity of its value chain, and its ability to adapt to and mitigate climate change effects. Strategies such as improving operational efficiency, investing in sustainable technologies, and enhancing competitiveness in developed markets may help mitigate or reverse the adverse effects of climate change on these firms. Additionally, significant industry and regional differences are observed, with the Northeast, East, and South China regions being most severely affected by drought. Global innovation value chains and regional processing value chains are significantly negatively impacted, while labor-intensive value chains are affected only in the current period. These findings provide new insights into the economic impacts of climate change and offer a basis for policymakers to develop strategies that help firms adapt to and mitigate climate risks.