Dimensions Of Innovation Research Articles

Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface

Current work explores the intricacies of magnetohydrodynamic and mix convectional boundary-layer flow concerning couple stress Casson nanofluid (CSCNF) dynamics via a 3D stretchable surface. The addition of active and passive control mechanisms for nanoscales creates an innovative dimension to the exploration. Remarkably, the analysis incorporates the influence of non-Fourier and non-Fickian heat and mass flux, alongside the effects of thermophoresis and Brownian diffusion, to systematically investigate the heat and mass transportation phenomena. The governing equations (PDEs) describing the MHD-3DCSCNF model are converted into a set of ordinary differential equations to facilitate the ANN analysis. Employing the bvp4c technique, a dataset is systematically generated for the back propagation artificial neural network with Levenberg–Marquardt Algorithm (BANN-LMA) through four distinct scenarios. Via accurate testing, validation, and training, the BANN-LMA produces estimated results for the MHD-3DCSCNF problem. The performance validation of BANN-LMA is executed through several metrics, involving the mean squared error, error histogram and regression analysis. The training process, characterized by minimizing the MSE through a gradient descent methodology with optimized weights, exhibits a compelling correlation R = 1, between the target and network output. Furthermore, the consistent convergence observed highlights the method robustness and reliability.

The Interrelation Between Responsible Research and Innovation Dimensions and Macro Indicators


 
 
 
 Responsible Research and Innovation (RRI) concept has become an important topic in the academic community and in policy circles (van de Poel et al., 2017) and encompasses six main policy agendas (or dimensions): ethics; gender equality; governance; open access; public engagement; science education (RRI Tools, 2023). RRI concept, including gender (equality) as one of the dimensions, still lacks empirical explorations-based understanding. This paper aims to explore the peculiarities of interrelations between gender (equality) as one dimension of the Responsible Research and Innovation and societal progression in gender equality and innovativeness on macro level. Starting with generating original data-base of [n – 214] indicators quantitative secondary data analysis of descriptive characteristics of the selected variables and (Spearman) correlation (RS) analysis between the variables was accomplished. Descriptive and correlation analysis of interrelations between women’s involvement in four R&I (i.e. Business, Higher education, Governmental and Private Non-profit) sectors and Gender Equality Index and Global Innovation Index in 2013–2020 shows rather small changes of the indicators and fragmental interrelations between them during the period.
 
 
 

The innovative dimension of the research training programmes under H2020-MSCA-ITN: a methodological approach to track, measure and analyse innovative aspects and provide policy-feedback conclusions.

Innovative research training programmes funded by the European Union are essential for the forging of highly skilled researchers to tackle, via breakthrough ideas and solutions, the challenges of our society. Being able to track, measure and analyse innovative aspects of the Marie Sklodowska-Curie Actions, Innovative Training Networks under the Horizon2020 funding scheme enables the impact assessment of such programmes, while filtering best practices and the generated knowledge that could ultimately breed and create further innovation. In parallel, it helps the identification of areas for improvement, the understanding of new needs to be accommodated and the co-design and implementation of EU funding policy activities to further promote innovation and excellence for researchers across Europe and beyond. In this study, a novel methodological approach is proposed for tracking and analysing innovation, using a representative sample of projects. Basic innovation indicators are examined and considered from the existing literature and from the applicable Multi-Annual Framework Programme Horizon2020. Additional ones are defined, complemented by questionnaires/surveys findings, to capture innovative aspects for which the standard indicators do not apply. Data mining and data visualization tools are used for the collection and processing of data. Innovation Radar 2 (IR) reports and HorizonResultsBooster 3 services are also engaged for the cross-validation of the identified innovative aspects. The study provides first-level input for policy-feedback activities, by identifying scientific domains and EU countries that may potentially require more attention for innovation generation. It highlights domains that are front-runners and can be used as examples or best practices for under-represented domains in terms of innovative outputs. Collaboration with organisations, defined as medium/high innovators, can increase innovation generation and success in future projects. Best practices are collected to serve as references for designing impactful future training programmes. The excellence of the H2020-MSCA-ITN actions is confirmed via the generated innovations.

Does corporate social performance improve environmentally adjusted efficiency? Evidence from the energy sector

AbstractThis study analyses the impact of corporate social performance (CSP), proxied by the Environmental, Social and Governance (ESG) Index and its pillars and dimensions, on the environmentally adjusted efficiency (EAE) of 239 listed companies, over the period 2016–2021, in the global energy sector. The EAE index, estimated via data envelopment analysis (DEA), assesses the efficiency of companies by considering economic aspects alongside CO2 and energy consumption reduction targets. Our results support the hypothesis that only above a certain level of performance, do CSP practices positively influence EAE, so there is a non‐linear U‐shaped association between the overall ESG score and EAE. The same holds for the social and governance pillars, and the human rights and management subspecific dimensions, on EAE. Other ESG attributes show a positive linear relationship with EAE, namely the environmental pillar, the environmental innovation dimension and the shareholder dimension. Our paper has significant implications for companies, policy makers and researchers insofar as it estimates EAE and indicates which CSP practices should be invested in over the long term to have a positive effect on it.

Does performance-based environmental regulation improve the quality of innovation responses in the auto industry? The moderating role of corporate governance effectiveness

Innovation is the primary driving force for high-quality development. How can we effectively leverage the role of environmental regulation to force enterprises to innovate and promote high-quality development? This paper breaks through the single dimension of environmental regulation and innovation, and examines the impacts of performance-based environmental regulation stringency (PBR) on high-quality and low-quality innovation responses (HQI and LQI). Analyzing a European country on-road vehicle emissions dataset with Heckman two-stage models, the study demonstrates that performance-based environmental regulation has different impacts on two types of innovation responses. The research results are as follows: (1) Stringent PBR has a significant negative effect on HQI decisions and corresponding magnitude, while PBR promotes the occurrence and magnitude of LQI. (2) The impact of stringent PBR on innovation responses is different among automakers with different corporate governance. Specifically, the inhibitory effect of PBR on HQI and the positive effect on LQI can be alleviated when corporate governance is effective. (3) For transmission mechanisms, stringent PBR promotes HQI through differentiation strategic positioning and leads to LQI through cost leadership strategic positioning. (4) Further discussion found that the shorter implementation timescale of PBR and fewer resources within the automaker can strengthen the adverse impact of PBR on HQI and the promoting effect on LQI. These results provide references for the decision making of scientific environmental policy and the reasonable planning of policy stringency to improve environmental quality and social welfare.

Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm

The digital economy is developing rapidly worldwide, which is of great strategic significance in leading and driving the process of high-quality and high-efficiency development of the economy. It has gradually become a new engine to promote China’s economic growth. Therefore, it is vital to establish a digital economy indicator system. In this context, according to the connotation of digital economy, comprehensively consider the four dimensions of digital foundation, digital application, digital innovation and digital benefit, and build a full-scale digital economy indicator system. However, some previous literature proposed operating the K-means clustering algorithm in optimizing the index system. The algorithm, susceptible to the initial selection of cluster center, generates completely different clustering results with other random seed points and is thus unsuitable for optimizing the index system. Based on this, the advantages of GRA, SA, and K-means algorithms are combined to propose a K-means-SA algorithm that can obtain the global optimal solution. Then, by combining the K-means SA algorithm and the rough set algorithm, the constructed index system is further optimized. Ultimately, it establishes a set of all-round, multi-system and multi-dimensional digital economy index systems, which is of great reference significance for formulating relevant policies, provides scientific index support for the subsequent extension of digital economy theory, and promotes the benign growth of the worldwide economy.

Measuring Unequal Knowledge Distance by Network Embedding and Multiple Relationships

ABSTRACTKnowledge distance, representing the dissimilarity between different knowledge units, has been considered as an important dimension of recombination novelty and technological innovation. Previous measurements merely rely on the citation relationship and ignore their directions and weights. To fill this gap, this study proposes a new measurement which not only captures the unequal citation relationship but also integrates multiple information to depict knowledge distance. The results show that our method can accurately portray the knowledge distance in both scientific areas and technical fields.

Reconnoitering the Nexus Between Organizational Culture and Open Innovation Systems

Postmodern organizations strive to cultivate open innovation systems to foster product innovation and commercialization. Cultural dynamics can be a massive obstacle in flourishing the inbound and outbound open innovation in many organizations. However, little is known about the effect of different types of culture on the open innovation dimensions. This research aimed to investigate the role of cultural subtleties in nurturing inbound and outbound open innovation in the organizations. A quantitative research design was employed, and data were collected from a random sample of 231 managers from the automotive industry. Structural Equation Modeling (SEM) was used to test the hypotheses using Smart PLS. The results indicated that hierarchy culture, associated with formal rules and regulations, negatively affects the inbound and outbound open innovation. The Market culture has a positive relationship with inbound and outbound open innovation while adhocracy culture could positively impact the inbound open innovation only. On the other hand, clan culture has a negative effect on the outbound open innovation. We concluded that the organizational culture focused on internal integrations is more suitable for outbound open innovation, and the type of organizational culture focused on external differentiation is more likely to support inbound open innovation.

Study on the impact of digital economy on innovation output based on dynamic panel data model

PurposeThe digital economy has become a new engine for economic development, promoting the upgrading and transformation of traditional industries as well as fostering emerging industries and forms of business. Nonetheless, how does the digital economy affect innovation? The research objective is to explore the specific impact of the digital economy on innovation output.Design/methodology/approachThis paper innovatively adopts the dynamic panel data model (DPDM) to carry out an empirical study on the impact of the digital economy on innovation output, through the observation of 30 provincial-level administrative regions in China. Furthermore, the paper innovatively analyzes the impact of different dimensions of the digital economy on innovation output and the impact of the digital economy on different dimensions of innovation output.FindingsIt is found that the digital economy is conducive to boosting innovation output considering innovation continuity. Specifically, the driving impact of core industries and enterprise application of digital economy on innovation output is more prominent, but the driving impact of infrastructure and personal application on innovation output is not fully played. Meanwhile, the driving impact of the digital economy on the innovation output quality is more significant than that digital economy on the innovation output quantity.Originality/valueThis study employs a DPDM for the first time to investigate the specific impact of the digital economy on innovation output, and contributes to the existing literature on the digital economy and digital economy-driven innovation. The findings offer a comprehensive explanation for the impact of the digital economy on innovation output, which has reference value for the formulation of innovation policies driven by digital economy, thereby providing impetus for the sustained and stable development of China's economy.

On problems and technology innovation implementation in micro, small and medium enterprises: An evidence from Indian Northern region using situation-actor-process-learning-action-performance framework

The paper aims to identify problems and technology innovation initiatives among micro, small and medium enterprises that effect their performance. The purpose of this paper is to assess the status of problems faced by micro, small and medium enterprises and study the technology innovation implementation (technology innovation initiative) dimensions through case studies conducted in selected manufacturing firms in the Northern region in India. This study proposes a two-stage approach. In the first stage, the author gathered responses with a well-structured questionnaire on problems and technology innovation initiatives affecting manufacturing performance using exploratory and confirmatory factor analyses. In the next stage, the validation of stage 1 findings was carried out to authenticate the proposition that technology innovation initiatives affect performance through case studies conducted in selected manufacturing firms situated in the Northern region of the country. For conducting case studies, the widely used flexible systems methodology, strengths, weaknesses, opportunities and threats and situation-actor-process-learning-action-performance analysis have been employed in the present study. The results from the study can act as an important guide for entrepreneur, practitioners and academicians. The results of the study show that effective implementation of technology innovation initiatives can contribute to enhance manufacturing performance of micro, small and medium enterprises in India. The research presents a better understanding of the problems that are hindering the successful implementation of technology innovation in micro, small and medium enterprises. Further, the two case studies provide valuable insights into technology innovation dimensions in two firms and highlight the methodology to be adopted by the companies towards their manufacturing performance enhancement. This study reveals the problems and technology innovation dimensions of micro, small and medium enterprises, their status and the impact of technology innovation initiatives on manufacturing performance of micro, small and medium enterprises. This, in turn, helps the stakeholder to comprehend the concept of technology innovation in a much simpler way.

Associating Technology Innovation Domains with Quality Service Performance of Public Health Care Organizations

This paper has presented the modelling of three technology innovation domains namely Organization Innovation Capabilities; Potential Absorptivity Knowledge; and Interaction with Technology affecting the UAE Health Care organisation performance construct. The modelling processes was conducted in SmartPLS software using 398 data gathered through questionnaire survey amongst employees of UAE public health care organization. Results from the modelling analysis found that model fitness criteria, which are Chi-Square value and NFI (Normed Fit Index) have an acceptable fit index. The model also has excellent predictive relevance for independent constructs that have fully account for the variance in dependent construct. however, one of the three paths was found not significant which is the path from OIC to OP. In term of path strength, paths from the construct OP to IWT has coefficient value of 0.3; to OIC has coefficient value of 0.1; and to PAK has coefficient value of 0.4. It is hope that the findings from this study have contributed to the knowledge of the relationship between the technology innovation dimension affecting the UAE public health care organization.

Innovating from university–industry collaboration: the mediating role of intellectual capital

PurposeUniversity–industry (UI) collaboration is essential for knowledge and technology exchange between higher education institutions and industries, enabling enterprises to accelerate innovation. However, few studies have investigated the collaborative innovation mechanism through which UI collaboration can enhance the accumulation of firms' intellectual capital (IC) and how this, in turn, affects their innovation-driven development.Design/methodology/approachDrawing from the knowledge management and collaborative innovation theory, this research proposes a theoretical framework of the inter-organization relationship between enterprises and universities to investigate the influence mechanism of UI collaboration, including academic engagement and commercialization, on corporate performance as well as the mediating role of IC by employing survey that covers 177 UI collaborations.FindingsEmpirical results show that human capital and relational capital fully mediate the relationship between academic engagement UI collaboration and corporate economic performance, while human capital partially mediates the relationship between commercialization UI collaboration and corporate economic performance. Additionally, structural capital and relational capital partially mediate the relationship between academic engagement and corporate innovation performance, while structural capital fully mediates the relationship between commercialization and corporate innovation performance.Originality/valueThis study empirically investigates how academic engagement and commercialization impact corporate performance (i.e. innovation dimension or economic dimension). It uncovers this relationship's underlying mechanism by documenting the IC's mediating impact.

SOCIAL ENTREPRENEURSHIP EDUCATION IN HIGHER EDUCATION

Social entrepreneurship is considered a new phenomenon as a field of research, and is seen as an answer to social problems that occur. Mission and creating social value is the key goal of social entrepreneurship. However, there is still limited research that focuses on raising the issue of ways/methods to increase interest in social entrepreneurship among students (social experiential learning). The urgency of this research can be seen in the results that will be produced, namely the creation of a development model/method of fostering interest in social entrepreneurship among students through short course. The results of this study where respondents will be given a short course with prepared material (pre-test vs. pre-test) show that there is a difference in the average proportion before and after training from the 5 dimensions of Social Entrepreneur Competency (SEC), namelypersonal competence, leadership, social innovation, social values and entrepreneurial management. Even though the small workshop concept is still on a small scale, the output of this technique can be an alternative way of fostering interest in social entrepreneurship among students. Universities can improve and evaluate the design of entrepreneurship education by involving more social learning. This process can foster deeper knowledge so that they are expected to have high social awareness by manifesting an interest in becoming social entrepreneurs.

STRATEGIC INNOVATION FOR IRAQI WOMEN AND THEIR ROLE IN ACHIEVING ADMINISTRATIVE EXCELLENCE/EXPLORATORY STUDY OF THE VIEWS OF THE ANNUAL CAREER STAFF AT THE FACULTY OF MANAGEMENT AND ECONOMICS

Strategic innovation is a systems approach that focuses on generating ideas in a scientific and systematic manner, and when innovation is a deliberate and repetitive process, it provides great value to customers. Women's managerial functions at work are also a source of excellence through their many practices, supporting organizational effectiveness and the process of attracting, maintaining, developing, evaluating and compensating their performance to improve organizational performance. The purpose of the research was to analyse the impact of strategic innovation components on the achievement of managerial excellence of women employees in the Faculty of Economics and Management, by estimating a sample of a staff member imembersFaculty, the results of the research showed the staff member's interest in administrative functions and excellence in her work in the faculty. Quantitative research on strategic innovation dimensions, while clarifying the strategic dimension of innovation 7.79% and changes in polarization and selection 7.92%, changes in training and development, 1.75%, and changes in performance reviews 9.92%

Are Schumpeter’s Innovations Responsible? A Reflection on the Concept of Responsible (Research and) Innovation from a Neo-Schumpeterian Perspective

Responsible research and innovation (RRI) has gained significant traction in recent decades. However, the previous discussions on RRI have overlooked the economic dimension of innovation, which is encompassed by the perspective of Neo-Schumpeterian economics (N-SE). This paper aims to bridge the gap between the theories of responsible innovation (RI) and RRI and the underlying assumptions of N-SE. We seek to clarify the concept of responsible (research and) innovation — R(R)I. N-SE inherently recognizes the involvement of diverse stakeholders, including society and the public sector, as entrepreneurs driving and implementing innovation while assuming responsibility for its effects and consequences. In this respect, N-SE aligns with the responsible innovation concept discussed within the R(R)I framework. The paper addresses the fundamental question: What are the shared areas of interest between R(R)I and N-SE? This exploration enhances our understanding and facilitates the practical implementation of R(R)I in the context of N-SE, thereby promoting ethical, socially beneficial, and sustainable technological advancements.

Input Crisis in the Agricultural Sector of Nepal

Amidst 21st century when agriculture is cherished with advancement in all kind of technology backed by multifarious dimensions of research and innovation internationally, the mainstay sector of Nepal still remains darker. Poverty, hunger and food deprivation have become common characteristics of the peasantry and the sector remains at a very marginal level in its productivity and total product. Import of agricultural product of millions of worth has become destiny of the country. In this line crisis in agricultural input supply is found as a major determinant. Precisely by inputs we mean essential commodities as chemical fertilizers (urea, potash and DAP), agricultural tools and machines, improved seeds and saplings, agricultural finance. As per provisions of such inputs Nepal is found weaker in almost all segments of procurement. The country still doesn’t have any chemical fertilizer production unit of its own. Vast and diverse areas of agricultural land are still far from irrigation catchment. Breeding of improved seeds by modern aerobiological means is still under progress and very less is achieved compared to the desired target. Agricultural tools and machine production inside the country is still at nascent stage. Agricultural finance still falls under policy and implement question. The country relies heavily on neighboring countries for the supply of such inputs through formal and informal channels that would raise the question over food security and sovereignty as well. Therefore, to make efficient, reliable and sufficient provisions of agricultural input to the agriculture sector of Nepal is a crucial need of the day.

The Influence of Knowledge Hiding on University Innovation and Employee Performance: The Private Universities in Mogadishu

The primary objective of this study paper is to examine the concealed aspects of knowledge possessed by academic personnel and their correlation with employee performance and dimensions of innovation. The researchers employed a quantitative research methodology, conducting a field study on private universities in Mogadishu. The study included a sample size of 120 academic staff members. The researchers used various statistical tests, including measurement and structured models, in their study. The results of this study indicate that the two categories of knowledge concealment have a negative impact on employee performance and innovation dimensions, whereas evasive knowledge concealment improves employee performance and process innovation. The present research paper provides a significant contribution to the extant literature on knowledge management, specifically in the area of knowledge hiding. It focuses on the behavior of coworkers in academic settings and explores how they respond to explicit demands. The study sheds light on important aspects within academia and offers insights that are relevant to the academic community.

Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.

Neurodegenerative diseases are the most common cause of dementia. Although their underlying molecular pathologies have been identified, there is substantial heterogeneity in the patterns of progressive brain alterations across and within these diseases. Recent advances in neuroimaging methods have revealed that pathological proteins accumulate along specific macroscale brain networks, implicating the network architecture of the brain in the system-level pathophysiology of neurodegenerative diseases. However, the extent to which 'network-based neurodegeneration' applies across the wide range of neurodegenerative disorders remains unclear. Here, we discuss the state-of-the-art of neuroimaging-based connectomics for the mapping and prediction of neurodegenerative processes. We review findings supporting brain networks as passive conduits through which pathological proteins spread. As an alternative view, we also discuss complementary work suggesting that network alterations actively modulate the spreading of pathological proteins between connected brain regions. We conclude this Perspective by proposing an integrative framework in which connectome-based models can be advanced along three dimensions of innovation: incorporating parameters that modulate propagation behaviour on the basis of measurable biological features; building patient-tailored models that use individual-level information and allowing model parameters to interact dynamically over time. We discuss promises and pitfalls of these strategies for improving disease insights and moving towards precision medicine.

The innovative dimension of the research training programmes under H2020-MSCA-ITN1: a methodological approach to track, measure and analyse innovative aspects and provide policy-feedback conclusions.

Innovative research training programmes funded by the European Union are essential for the forging of highly skilled researchers to tackle, via breakthrough ideas and solutions, the challenges of our society. Being able to track, measure and analyse innovative aspects of the Marie Sklodowska-Curie Actions, Innovative Training Networks under the Horizon2020 funding scheme enables the impact assessment of such programmes, while filtering best practices and the generated knowledge that could ultimately breed and create further innovation. In parallel, it helps the identification of areas for improvement, the understanding of new needs to be accommodated and the co-design and implementation of EU funding policy activities to further promote innovation and excellence for researchers across Europe and beyond. In this study, a novel methodological approach is proposed for tracking and analysing innovation, using a representative sample of projects. Basic innovation indicators are examined and considered from the existing literature and from the applicable Multi-Annual Framework Programme Horizon2020. Additional ones are defined, complemented by questionnaires/surveys findings, to capture innovative aspects for which the standard indicators do not apply. Data mining and data visualization tools are used for the collection and processing of data. Innovation Radar2 (IR) reports and HorizonResultsBooster3 services are also engaged for the cross-validation of the identified innovative aspects. The study provides first-level input for policy-feedback activities, by identifying scientific domains and EU countries that may potentially require more attention for innovation generation. It highlights domains that are front-runners and can be used as examples or best practices for under-represented domains in terms of innovative outputs. Collaboration with organisations, defined as medium/high innovators, can increase innovation generation and success in future projects. Best practices are collected to serve as references for designing impactful future training programmes. The excellence of the H2020-MSCA-ITN actions is confirmed via the generated innovations.

Technological change in the context of robotic coffee shops: focusing on consumer innovativeness

研究目的本研究考察了消费者创新性的八个维度对品牌满意度的影响。此外, 本研究还调查了品牌满意度如何影响品牌偏好和品牌忠诚度。最后, 还探讨了品牌偏好在形成品牌忠诚度方面的作用。研究方法本研究通过在线平台在韩国进行了一项调查, 参与者使用一家提供机器人服务的咖啡店进行评估。数据收集自326名在该咖啡店使用服务的顾客。研究发现数据分析结果表明, 包括新奇寻求、开放性、品质体验寻求、享乐体验寻求和社交独特性在内的五个消费者创新性维度有助于提高品牌满意度。此外, 品牌满意度在品牌偏好和品牌忠诚度的形成中起着重要作用。研究创新目前很少有研究关注咖啡消费者如何评估咖啡品牌的价值。因此, 对于与品牌满意度、品牌偏好和品牌忠诚度相关的机器人咖啡师服务消费者创新性影响的研究具有重要意义。