Types Of Innovation Research Articles

Enhancing the charge transfer in triboelectric nanogenerator based on sulfonated poly ether ether ketone/carbon nanotubes proton exchange composite membrane

This study introduces an innovative type of triboelectric nanogenerator (TENG) that utilizes proton exchange membranes to significantly enhance the transfer of electric charge in a triboelectric layer. To achieve this, composite membranes were fabricated by applying a blade coating technique to a mixture of carbon nanotubes (CNTs) and sulfonated poly ether ether ketone (SPEEK), serving as the critical triboelectric layer in the TENG device. These composite membranes exhibit an exceptional ability to attract water molecules through hydrogen bonding. Thanks to the high electro-positivity of these water molecules, they actively participate in the triboelectrification process, resulting in a substantial increase in charge transfer efficiency within the TENG device. As a result, when compared to the conventional dry-based SP (SPEEK)-TENG, the wet-based SP-TENG demonstrates an astonishing surge in output current, exceeding an 860-fold increase. Furthermore, a SPC (SPEEK/CNTs)-0.5-TENG cell device shows remarkable performance by generating a peak current of 0.91 mA and a power density of 0.39 W/m2. Impressively, four SPC-0.5-TENG cells can rapidly charge a 470 µF capacitor to 2.1 V within 28 seconds, making them a viable power source for a variety of portable electronic devices. This material displays substantial promise for applications in self-powered technologies, ultimately contributing to a reduced dependence on external power sources.

Realities of economic growth and development in the post-soviet countries

The article discusses issues of high-quality economic growth and development that create the foundations for sustainability and stability. An analysis of factors influencing changes in the macroeconomic situation for 2015–2022/2023 is presented. The current situation in the countries of the former USSR is considered. The main reasons limiting economic growth and development are identified, and mechanisms for overcoming them are revealed. The need to pay more attention to qualitative indicators of economic growth and development, which create the foundations of sustainability, is substantiated. In the current conditions, the qualitative component of economic growth and development is becoming increasingly important due to the increasing influence of global problems, risks, uncertainty, sanctions, and local wars. The pandemic had a certain impact on the country's economic growth, which revealed the need for sustainable financing of public investment to achieve a certain level of economic growth and development, tax revenues. The pandemic has contributed to increasing the importance of innovative projects. The adopted programs, concepts and road maps contribute to the formation of a competitive innovative industrial complex. All this, in turn, will create the basis for a qualitative improvement of the country’s existing production potential and contribute to the transition to a predominantly innovative type of development. It is advisable to realistically reflect the current situation, not to turn a blind eye to the real positive changes taking place in the country, which contribute not only to its economic, but, above all, to its political strengthening of its position in the world. The essence of economic planning is not to give a project, but to determine a direction that is adjusted depending on the situation. Economics must justify economic activity and the following chain can be shown schematically: idea – ​economic justification – ​real implementation.

Green innovation and corporate ESG performance: Evidence from Chinese listed companies

In recent years, corporate ESG performance has attracted widespread attention from the public and academic circles. However, there are currently few studies on the driving factors of corporate ESG performance, and most of them regard green innovation as a homogeneous variable when discussing the driving factors of corporate ESG performance. Therefore, this article will explore its impact on corporate ESG performance from the perspective of green innovation, using data from China's A-share listed companies from 2009 to 2021 to analyze how different types of green innovation will affect corporate ESG performance. The study found that both radical green innovation and progressive green innovation can positively promote corporate ESG performance. In addition, financing constraints weaken the positive relationship between the two types of green innovation and corporate ESG. Further research found that heavily polluting industries are more likely to choose lower-cost progressive green innovations. By virtue of their special resource advantages, state-owned enterprises can cope with financing constraints more easily than non-state-owned enterprises. In contrast, large-scale enterprises can carry out sufficient green innovation and are better able to maintain their competitive advantages. Moreover, green innovation can have a positive impact on environmental governance and social responsibility, but it is difficult to have a positive impact on corporate governance. The green image plays a partial mediating role between green innovation and corporate ESG performance. The research conclusions provide a reference for government departments to improve the construction of ESG systems and also provide a reference for enterprises to practice ESG responsibilities and improve their own ESG performance.

Patterns of environmental regulation and green innovation in China

Green technology innovation is an important means to achieve sustainable development. The study is an exploration of the bilateral perspective on the relationship between different types of environmental regulations and green innovation. Based on the data set of 30 provinces in China from 2006 to 2018, the two-sided effects of command-and-control environmental regulation and market-based environmental regulation on green innovation are analysed and the net effects are calculated by using the two-tier stochastic frontier models. First, empirical research shows that the effects of command-and-control environmental regulation and market-based environmental regulation on green innovation are both highlighted by negative characteristics. Command-and-control environmental regulation has a smaller effect on green innovation, with an average positive effect of 0.00005, which is smaller than the average negative effect of 0.0008. Meanwhile, the positive effect of market-based environmental regulation on green innovation is 0.00291, smaller than the negative effect of 0.00461. Second, the negative impact of command-and-control environmental regulation on green innovation underwent a "back-to-N" change process in 2006–2018, while the negative effect of market-based environmental regulation on green innovation did not decline until after 2011. Third, the provinces where command-and-control environmental regulation policies have a greater negative effect are concentrated in the energy-intensive regions of central and western China, while the provinces where market-based environmental regulation policies can promote green innovation are from the energy-intensive or developed eastern regions of China. Based on the research conclusions, to better promote green innovation, there is a need to implement environmental regulatory policies that address regional differences and to establish a national system of green innovation markets.

Research on the Mechanism of Collaborative Innovation in Green Technology among Supply Chain Enterprises Based on Cost Sharing and Market Competition

Supply chain green technology collaborative innovation is an important means for enterprises to improve the greenness of their products. This paper takes supply chain green technology innovation collaboration as the research object and constructs a stochastic differential game model, which not only provides reference for enterprises to choose the optimal type of technology innovation by combining with their own characteristics, but also provides a reference for their innovation decision-making in different market competition environments. The study shows the following: (1) in green product innovation, the formation of the cost-sharing contract is less affected by the intensity of competition in the green market when the market preference for greenness is relatively low. Therefore, government subsidies become an important tool to effectively guide the market mechanism to achieve the desired goal. As market competition intensifies, manufacturers’ incentives to suppliers will shift from reducing costs to increasing demand. (2) In green process innovation, when the intensity of green competition is low and suppliers’ process innovation efficiency is high, manufacturers should bear more costs; when the market preference for greenness is low, the market competition is intense, and the suppliers’ process innovation efficiency is low, the suppliers should bear more costs to help the manufacturers gain more market shares. (3) When retailers’ preference for greenness is relatively low, the government subsidy becomes an important tool to effectively guide the market mechanism to achieve the desired goal. (4) When the retailer’s green promotion performance is higher than the manufacturer’s, the manufacturer should bear more green promotion costs; conversely, the retailer should bear more green promotion costs. (5) Over time, the marginal increase in price over the marginal increase in greenness helps stabilise price volatility, considering consumer preferences. Conversely, it helps to increase the average value of prices.

Innovation in public organizations: the role of human capital

ABSTRACT Public sector innovation (PSI) has (re)emerged as a research topic among academics and practitioners. However, although a vast body of research exists analysing the key role played by human capital in the private sector, only a paucity of research exists with an analogous focus in the public sector. This paper addresses this anomaly by linking human capital to innovation types using data from 29 European countries (n = 2,650 public organizations). The results provide compelling empirical evidence that human capital, and particularly innovation training, plays a vital role in innovative activity in the public sector, just as it does in private-sector firms.

The Behavioral Intention to Use Virtual Reality in Schools: A Technology Acceptance Model.

This paper presents the impact of using virtual reality (VR) in education and focuses on the main factors that affect the behavioral intention of using this new technology for the benefit of both professors and students. As part of our research methodology, we conducted a survey based on the Technology Acceptance Model and used partial least squares structural equation modelling. The results show that the intention to use VR technology in education is influenced by both usage satisfaction and the task-technology fit. The system quality of the VR technology proved to be important in influencing both the task-technology fit and perceived usefulness. The findings are useful for professors considering the adoption of new technologies that might improve the efficiency of learning for their students. Additionally, managers of educational institutions can use these insights to direct investments towards this type of innovation, which appeals to newer generations.

Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences

The influence of artificial intelligence (AI) on carbon emissions has long been contentious, and accurately clarifying this impact is crucial for the realization of sustainable smart cities. This article investigates the impact of AI on carbon emissions, distinguishing between applied and innovative AI types. Analyzing data from 267 Chinese cities between 2008 and 2019, the study reveals that applied AI reduces carbon dioxide emissions by an average of 40,100 tons per unit increase. In contrast, innovative AI initially leads to emissions increases before ultimately decreasing, illustrating an inverted U-shaped relationship. Regional variations in AI's impact on emissions are influenced by each region's developmental focus and stage of AI deployment. Specifically, differences arise due to the continuous carbon reduction (-0.024) associated with applied AI and the initial emission increase (0.129) attributed to innovative AI. The study underscores the significance of tailored regional strategies in AI development for fostering sustainable smart cities. These findings contribute to the ongoing discourse on AI's environmental impact, offering insights to inform targeted approaches in green, sustainable urban planning.

Recruiting mid-qualified workers in product-innovating firms: Which personality traits matter?

Change in the work context is an important characteristic of product-innovating firms, and the innovation's profitability often depends on the workers’ adaptive capability to cope with change. Personality traits shape the individual adaptive capability. Nevertheless, the current economic recruitment literature does not discuss personality trait-oriented recruitment in product-innovating firms. We investigate whether recruiters in product-innovating firms prefer mid-qualified job applicants with certain Big Five personality traits. We conduct a discrete choice experiment among 799 firms in Germany and use mixed logit models to estimate the heterogeneous personality preferences of recruiters by distinguishing between firms performing i) radical and ii) incremental product innovations. We find that recruiters prefer more emotionally stable workers regardless of the firm's innovation type. However, recruiters from firms engaging in radical innovations also prefer more conscientious applicants. Our findings have practical implications for firms, applicants and policy makers designing training curricula, because we show that recruiters from product-innovating firms consider personality trait-oriented recruitment not only for high-qualified workers but also for mid-qualified workers.

Leadership, knowledge dynamics and dual-path innovation: unravelling the synergy in Pakistan’s manufacturing sector

PurposeWith ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.Design/methodology/approachUsing the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.FindingsThis research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.Originality/valueThis study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.

Business model innovations amidst adverse economic conditions: the role of CEO values

Purpose The current business environment is characterized by high levels of uncertainty that affect the global economic system and have the greatest impact on small and medium-sized enterprises (SMEs). With an elevated degree of perceived uncertainty, Chief executive officers' (CEOs) of SMEs find themselves in a situation where the old approaches to decision-making are irrelevant and the time to create new ones is limited. The purpose of this study is to examine whether appealing to personal values helps CEOs cope with a high level of perceived uncertainty and make decisions about the further development of the firm by undertaking business model innovations (BMI). Design/methodology/approach This study follows a multiple case study research design drawing on data collected from 10 Russian SMEs. Findings The authors show that CEOs’ communion values lead to innovations in the revenue model and value architecture dimensions of the business model. CEOs who are inclined to agentic values introduce innovations in the revenue model and value offering dimensions. Those executives who balance between the two types of values tend to also balance between different types of innovations in the elements of the business model. Originality/value The results indicate that personal values of CEOs play an important role in managerial processes and the strategic choice of a BMI type. Moreover, personal temporal focus orientation serves as a translation mechanism in the relationship between CEO values and BMI in SME settings.

Political Parties Reform In Developing The Competence And Professionalism Of The Legislative Members Of The House Of Representatives Of The Republic Of Indonesia (DPR RI)

PT Pembangkitan Jawa-Bali (PJB), in developing its company, does many things, such as innovating which incidentally is believed to be able to encourage a company to improve its economic performance. One form of innovation carried out by PT PJB is partnering with several universities in Indonesia. The collaboration is expected to be able to build synergies between agencies through the empowerment of facilities and human resources. This research aims to determine the relationship between inter-organizational partnerships on corporate innovation (incremental innovation type) and determine the relationship between inter-organizational partnerships on corporate innovation (radical innovation type). This research is a research with a quantitative approach using statistical analysis tools in testing hypotheses. To measure the relationship between organizational partnership and innovation, this research uses an ordered probit model approach. The research uses the inter-organizational partnership variable as the independent variable along with several other control variables. The research uses data obtained from the results of questionnaires have been distributed to several employees from various levels randomly from PT PJB. Furthermore, the research also uses data obtained from the results of researchers' observations of key informants have been selected. Partnerships between organizations (with educational institutions) can contribute to company performance. Company performance is described through the birth of innovation (both incremental and radical types). The research indirectly implies the statement that partnerships between organizations can affect the company's performance through the innovations developed within the company. Furthermore, the research also seeks to create an effective partnership design in generating company innovation. The limitation of this research is data source of this research is only based on PT PJB, in order to the future an analysis of partnerships with educational institutions can be carried out on the performance of other companies. The novelty of this research is focus to analyze the relationship of partnerships with educational institutions on the performance of companies, especially in PT PJB which has not been carried out by other studies.

Research on improving the efficiency of electricity transmission

A study of ways to modernize the current-carrying part of overhead lines to improve the efficiency of electricity transmission through the use of innovative types of wires was conducted. The technical and economic characteristics of AC, ACCR, and AERO-Z wires were analyzed. The results of the analysis revealed that further improvement of the design of AC wires should be based on new progressive developments that would meet such technical requirements as reliability, survivability and durability; corrosion resistance; high adhesion ability; resistance to vibration during operation under the influence of adverse climatic factors; resistance to environmental temperature effects. As an innovative solution to this issue, high-temperature (ACCR) and specially designed (AERO-Z) wires have been developed in foreign countries. A comparative analysis of the types of wires used in Ukrainian power grids with innovative types of wires used in power grids of foreign countries was performed. The results of the comparison of AC, ACCR, and AERO-Z wires show that the factor that limits the scope of application of ACCR wire, even for spans with extremely high requirements for power transmission characteristics, is its extremely high cost. This is because the technical characteristics of this wire are better than those of AC wire and it has a relatively low cost compared to ACCR wire, and its special design is adapted to adverse climatic conditions that affect the characteristics of electricity transmission.

Experimental behavior of axially loaded circular high-strength concrete-filled high-strength steel tubular stub columns after exposure to fire

The high-strength concrete-filled high-strength steel tubular (HCFHST) column is an innovative type of high-performance steel-concrete composite component, which has a broad prospect for engineering applications. To investigate the axial compressive behavior of post-fire HCFHST stub columns with circular cross-sections, twenty-five specimens were heated following ISO 834 standard fire and then loaded to failure under axial compression after being cooled. The effects of various heating durations, concrete and steel strength on the temperature distribution, spalling of the steel-concrete interface, post-fire ultimate bearing capacity and axial stiffness were analyzed. The residual ultimate capacity and axial stiffness of HCFHST stub columns experience a pronounced decrease as the heating duration increases. High strength steel has no significant contribution to the enhancement of the post-fire axial stiffness of HCFHST stub columns, and the effect level of high-strength concrete on the failure load of composite columns subjected to different heating durations is similar. Finally, the applicability of relevant equations for the residual compressive capacity of the ordinary strength CFST column to HCFHST stub columns was evaluated. The evaluation results revealed that available methods of conventional strength CFST stub columns cannot obtain accurate post-fire resistance predictions of circular HCFHST stub columns.

Injectable pH- and Ultrasound-Responsive Dual-Crosslinked Dextran/Chitosan/TiO2 Nanocomposite Hydrogels for Antibacterial Applications.

Combining exogenous and endogenous antibacterial mechanisms has been demonstrated to enhance therapeutic efficacy significantly. This study constructs an innovative type of exogenous and endogenous antibacterial nanocomposite hydrogels with injectable dual-crosslinked networks and dual-stimuli responsiveness. The primary network establishes imine bonds between the functionalized dextran featuring norbornenes and aldehydes (NorAld-Dex) and the quaternized chitosan (QCS). The imine bonds provide self-healing, injectability, and pH-responsiveness to the hydrogel network. The secondary network is established by integrating thiolated mesoporous silica-coated titanium dioxide nanoparticles (TiO2@MS-SH) into the hydrogel network via an ultrasound-activated thiol-norbornene reaction with NorAld-Dex. The microstructures and properties of NorAld-Dex/QCS/TiO2@MS-SH hydrogels can be fine-tuned by adjusting the sonication time to increase the amount of thiol-norbornene crosslinks in the network. Effective antibacterial performance of NorAld-Dex/QCS/TiO2@MS-SH hydrogels at low pH has been demonstrated with the synergistic effect of the acid-induced dissociation of the hydrogel network, protonated QCS, and the reactive oxygen species (ROS) generated by TiO2@MS-SH nanoparticles under ultrasound irradiation. In summary, NorAld-Dex/QCS/TiO2@MS-SH nanocomposite hydrogel is an advanced dual stimuli-responsive antibacterial platform with customizable microstructures and properties, offering great potential for biomedical applications.

The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation

ABSTRACT This paper investigates which of the core types of innovation can be best predicted based on ’firms’ website data. In particular, we focus on four distinct key standard types of innovations in firms: product, process, organisational, and marketing innovation. Web mining of textual data on the websites of firms from Estonia, combined with the application of artificial intelligence (AI) methods, turned out to be a suitable approach to predict firm-level innovation indicators. The key novel addition to the existing literature is the finding that web mining is more applicable to predicting marketing innovation than the other three core types of innovation. As AI-based models are often black-box in nature, for transparency, we use an explainable AI approach (SHAP - SHapley Additive exPlanations), where we look at the most important words predicting a particular type of innovation. Our models confirm that the marketing innovation indicator from survey data was clearly related to marketing-related terms on the ’firms’ websites. In contrast, the results on the relevant words on websites for other innovation indicators were much less clear. Our analysis concludes that the effectiveness of web-scraping and web-text-based AI approaches in predicting cost-effective, granular and timely firm-level innovation indicators varies according to the type of innovation considered.

The acceptance of digital intelligence technology in megaproject organisations from the perspective of innovation diffusion

ABSTRACT To investigate the mechanism of employee acceptance of digital intelligence technology under technological innovation change in megaproject organisations, this study clarifies the mechanism of technological innovation diffusion in Chinese megaproject contexts. By constructing a multi-layer dynamic theoretical model of megaproject employee acceptance research, the study explores the interaction effects of multiple factors at the organisational level in the innovation diffusion process and the mechanisms of employees’ willingness to accept digital intelligence technologies. The results show that: the organisational level has a greater influence on the pre- and mid-term diffusion of innovation; the technological level gradually increases its influence on employees’ individual acceptance at the stage of innovation awareness formation; and the environmental level helps form the initial acceptance attitude. The individual level in the later stages of innovation diffusion strongly influences employees’ acceptance. The different types of megaprojects moderate the organisational model, while the interference effect of the innovation type of digital intelligence technology is not significant. The innovation of the study lies in analyzing the mechanism of innovation diffusion in the context of megaprojects along the path of innovation diffusion and exploring the interplay between organisational and individual dimensions on individual employees’ willingness to accept.

The Impact Of Innovation To Company Policy Through Operation Research

In the ever-evolving corporate landscape, understanding how innovation influences company policies is significant for organizational success. This research investigates the complicated relationship between innovation—specifically, organizational, technological, and process innovation—and the management of critical policy domains: HR policies, compliance policies, and technological adoption policies. Leveraging surveyed data analysis, this study uncovers profound insights into the dynamic interplay between innovation strategies and policy adaptations. The study's methodology used quantitative data analysis, utilizing surveys and impact ratings to measure the influence of various innovation types on company policies. The analysis indicates that organizational innovation shows substantial influence over HR policies, underscoring the necessity of aligning HR management with the growing culture and structure of organizations undergoing transformation. Technological innovation shows as a significant motivate for adaptations in compliance policies, highlighting the critical importance of policy alignment with dynamic regulatory landscapes. Process innovation, although exhibiting a moderate impact, show cases its practical relevance in enhancing operational efficiency across all policy areas. This research extends existing literature by providing empirical evidence of innovation's multifaceted impact on policies and introduces novel perspectives, especially the influence of technological innovation on compliance policies. The implications of this study contribute in academia and practice alike, emphasizing the significance of proactive policy alignment with innovation strategies. As organizations increasingly harness innovation to remain competitive and adaptive, the research findings offer valuable guidance for optimizing the synergy between innovation initiatives and policy management, ensuring regulatory compliance, and enhancing operational efficiency.

Phases of adoption of One Acre Fund agricultural innovation among smallholder maize farmers, Bungoma County, Kenya

This study examines the adoption of One Acre Fund (OAF) agricultural innovations in Bungoma South Sub-County, Kenya, in response to declining maise production. Despite agricultural development programs aiding Kenya's economic growth, research shows low technological acquisition. Qualitative and quantitative data were collected from 204 out of 9,924 OAF-registered farmers using descriptive research design. Inferential statistics were employed to analyse the different phases of adoption, with quantitative data presented in tables. The qualitative findings were analysed using thematic analysis and incorporated into the results of the inferential analysis as narratives. A situational analysis was performed to assess the status of various types of OAF agricultural innovation among smallholder farmers in the study area. Pairwise ranking was implemented to identify advanced acquisition strategies. The findings revealed that the socio-economic characteristics of farmers, such as age (p = 0.002), marital status (p = 0.000), level of education (p = 0.001), family size (p = 0.047), non-farm work (p = 0.327), and size of land (p = 0.110), significantly influenced the adoption of the OAF agricultural innovations. The study also indicated that the adoption phases were impacted by factors such as group memberships (p = 0.047), farm visits (p = 0.012), and training (p = 0.000). Based on the findings, the study recommends the implementation of awareness programs, crop insurance, the establishment of farm cooperatives, and the strengthening of farmers' knowledge systems to enhance OAF maise output and achieve food security.

Pricing airbag option via first passage time approach

Airbag option is a new structured product that has been highly favored by investors in the over-the-counter derivatives market. It provides protections against the downside loss to investors like the ‘airbag’ in a car crash. In contrast with its popularity, there is little literature on the pricing of airbag options, especially from the mathematical finance point of view. In this paper, we study the pricing of airbag options using the first passage time approach. We propose two innovative new types of airbag options, namely airbag-TB and airbag-ER, which enhance the downside loss protections by integrating a time-varying barrier and early redemption features respectively in the payoffs. Explicit and closed-form pricing formulas for the original and the two new types of airbag options are derived under the mixed-exponential jump diffusion (MEJD) model, double exponential jump diffusion (DEJD) model and Black-Scholes (BS) model. In doing so, we significantly improve the Hybrid model proposed by Jaimungal and Sigloch (Incorporating risk and ambiguity aversion into a hybrid model of default. Math. Finance, 2012, 22, 57–81) by incorporating a stochastic redemption intensity model and more general underlying asset dynamics. We further demonstrate the performance of our pricing formulas and the two new types of airbag options with numerical examples based on Monte Carlo simulation, which verifies the accuracy and efficiency of our pricing formulas.