Innovative Efforts Research Articles

Covid-19 pandemic and equity of global human papillomavirus vaccination: descriptive study of World Health Organization-Unicef vaccination coverage estimates

ObjectiveTo analyse progress in global vaccination against human papillomavirus (HPV) during the covid-19 pandemic, with a particular focus on equity.DesignDescriptive study of World Health Organization-Unicef vaccination coverage estimates.SettingWHO-Unicef estimates of...

Enhancing Healthcare Access in Conflict Zones: Identifying Challenges and Proposing Solutions

There are still many unanswered questions about the safety of affected communities' health in conflict zones, including access to healthcare. The main obstacle is the profound disruption that conflict causes to the healthcare system, which leads to a shortage of medical supplies, the destruction of buildings, and a large-scale evacuation of medical personnel. Security hazards also exacerbate this critical situation by impeding the safe delivery of help and the impacted communities' access to healthcare services. This condition however present chances for creativity and advancement. Technological developments, in particular telemedicine, provide a lifeline by bridging the gap between patients and healthcare practitioners by enabling remote consultations and the dissemination of medical information to areas afflicted by violence. A concerted effort involving technological innovation, stakeholder collaboration, community empowerment, and advocacy efforts holds promise in improving the dire situation and, in the end, guaranteeing vulnerable populations in these areas equitable access to healthcare, even though there are still challenges associated with providing healthcare in conflict areas. Finally, the provision of healthcare in war areas continues to be a complex problem, but proactive approaches that embrace technology innovation, teamwork, community empowerment, and advocacy work may be able to lessen these difficulties. Together, these concerns can be addressed to create a more equitable healthcare environment that will support vulnerable people during times of conflict. In order to improve healthcare accessibility in these unstable circumstances. This is paper aims to analyze the numerous obstacles and investigate viable solutions and avenue for advancement.

The Influence of Maternity Wear Brand Image Innovation Elements on Consumer Behavior: A Grounded Theory Study

This grounded theory study investigates the influence of maternity wear brand image innovation elements on consumer behavior, addressing two main research questions: (1) How to innovate the brand image of maternity wear? and (2) What is the relationship between brand image innovation and consumer behavior in maternity wear? Maternity wear brands play a critical role in meeting the diverse needs of expectant mothers, yet in China, they often lack distinct brand identities and fail to cater to the varied preferences of pregnant women. Through a comprehensive research design, including literature review, grounded theory analysis, and empirical testing via questionnaire surveys, this study identifies six dimensions of brand image innovation in maternity wear: Product, Identity, Corporate, Marketing, Service, and Store image innovation, along with 21 specific indicators such as style and fabric innovation. The findings reveal a significant impact of each dimension of brand image innovation on consumer behavior. Theoretical and managerial implications highlight the study’s contribution in filling a research gap, providing a new framework for brand image research in maternity wear, and offering targeted recommendations for brand innovation efforts. This research expands understanding of the intricate relationship between consumer behavior and brand image, providing theoretical guidance for maternity wear companies to enhance brand appeal, meet diverse consumer needs, and ultimately improve sales and loyalty.

Unequal Distribution of Innovation Efforts for Neglected Tropical Diseases: The Role of Funding Evaluation Criteria

Unequal Distribution of Innovation Efforts for Neglected Tropical Diseases: The Role of Funding Evaluation Criteria

Post Office Service Innovation: Responding to Competitive Challenges

This research aims to describe post office service innovation in Indonesia and analyze the factors that influence post office service innovation in Indonesia. Qualitativedescriptive analysis technique, where the data that has been collected after analysisis then concluded and the research carried out seeks to describe, explain and describe the efforts made by PT. Pos Indonesia in facing competition. PT Pos Indonesia (Persero) continues to innovate in providing logistics and financial services that are responsive to technological developments and market demands. In facing the industrial revolution 4.0 and millennial preferences for technology, PT Pos Indonesia has launched various service innovations, including Contact Center Oranger, Magenpos, Agenpos B2B,Financial Services, and Air Retail Cargo. Despite significant innovation, information regarding products and services still requires improvement within the post office to provide better understanding to customers. Therefore, further efforts are needed to provide more detailed education and information at service locations. With these innovative steps, PT Pos Indonesia shows its commitment to remaining relevant in the digital era, providing more efficient services, and meeting consumer needs. Continuous innovation efforts and increasing information to customers are the keys to PT Pos Indonesia's success in facing competitive challenges in the logistics and financial industries

Research on collaborative decision making of China's photovoltaic supply chain based on competition policy

Introduce government competition policies and technological innovation efforts into the profit game model of the photovoltaic industry supply chain, establish two different supply chain profit models, and study the impact of government competition policies and manufacturers' technological innovation efforts on the profits of each manufacturer and the overall profit of the supply chain. Construct profit models in both competitive and cooperative situations, and empirically analyze the impact of government competition policies and manufacturers' technological innovation efforts on the optimal supply chain profits in both competitive and cooperative situations. Research has shown that: (1) government competition policies are conducive to promoting an increase in manufacturers' profits; (2) The increase in technological innovation efforts can quickly increase manufacturers' profits; (3) Compared to the cooperation situation, the profit of each manufacturer and the total profit of the entire supply chain are higher in the competitive situation.

Research on collaborative innovation optimization strategies for digitally enabled higher education ecosystems.

Digitally enabled higher education involves the in-depth use of new-generation digital technology, which has subverted and innovated the traditional teaching mode, driven the development of high-quality teaching and learning, and improved teachers' teaching experience, and increased efficiency. Based on ecosystem theory, this paper constructs a higher education ecosystem with the government, enterprises, and universities as the core participating subjects. It considers the participating subjects' effort level and the ecosystem's overall benefits under the three scenarios of noncooperative research and development (R&D), cost sharing, and cooperative R&D. The results show that (1) the service innovation effort level of the three parties increases with increasing human resource level and technology maturity, and the government's benefit decreases with increasing cost of fulfilling social responsibility. (2) The government's cost subsidies to universities and enterprises can enhance the service innovation level of both parties and increase the optimal returns of the three parties and the ecosystem as a whole. (3) In the cooperative R&D game scenario, the effort level of the three parties and the total ecosystem returns are greater than those in the noncollaborative R&D scenario, and after determining the subsidy coefficients of the government, Pareto optimality of the three parties and the ecosystem as a whole can be achieved. The conclusions of this study can aid in understanding the dynamic evolution mechanism of digitally enabled higher education and provide a realistic decision-making reference for higher education ecosystem managers.

Micro Enterprises are the Key to Economic Development: Belize’s innovative efforts to ‘Keep it Simple'

This paper summarizes Belize’s reform process to simplify the legal framework and modernize its business climate for Micro Enterprises. The reform process encompasses: (1) simplified access to formality, (2) legal reform, (3) boosting private sector development for small businesses, and (4) increasing job creation. Belize’s reform aims to fast-tracking the formalization of Micro Enterprises, irrespective of physical location. Belize’s reforms place Micro Enterprises as key economic actors within the economy.

ИССЛЕДОВАНИЕ РЕФОРМЫ И ИННОВАЦИЙ СТУДЕНЧЕСКОГО МЕНЕДЖМЕНТА В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ

The work of managing higher vocational educational institutions, being one of the important platforms for delivering talent to society, ends with the coordination and cooperation of various employees and departments. Among the many management tasks in higher vocational institutions, student management is undoubtedly a key part. In the process of long-term development, this work faces many challenges. Therefore, responsible personnel should focus on the problems that exist in the management of students in higher vocational educational institutions. This article examines specific reform and innovation efforts to improve student management in universities.

A Machine Learning-Based Approach to Identifying Key Innovation Determinants for Industrial Firms: The Case of the Pharmaceutical Industry in China

With abundant resources consumed by innovation practices, it is of strategic importance for industrial firms to identify key determinants of innovation performance from both internal and external environments for better and effective innovation management. To this end, this article develops a new machine learning-based approach to examine a variety of factors influencing innovation performance. In particular, a two-process modeling approach is developed to build machine learning models efficiently for identifying key internal and external innovation factors. With extensive experiments using data collected from China's pharmaceutical industry, the approach identifies a set of key internal and external innovation factors and their best configurations in terms of two commonly used innovation performance measures. The findings enable pharmaceutical firms and local governments in China to manage innovation efforts and formulate management strategies for promoting industrial innovation. The article contributes to innovation management research by providing an objective and data-oriented approach for comprehensively exploring internal and external innovation factors and establishing their relationships with expected innovation performance. Although the approach is exemplified by China's pharmaceutical industry and the results cannot be generalized, it has general applicability to other industries or countries.

Stock Market Development Opportunities and Factor Analysis

This article focuses on analyzing opportunities analysis for Vietnam stock market in recent years. Method: Methodology includes Qualitative research method: synthesis and inductive methods. Results: Authors stated opportunities for stock market development including but not limit to: current low deposit rates, M&A opportunities in market still rise; coming from policy innovation efforts from the government (local); positive economic growth (average 5.2% last 3 years); etc. From our above analysis, we suggest that to reduce fluctuation of stock market, we need policies supporting GDP growth as well as increasing liquidity if we want to have more fluctuation on market.

Crisis Innovation: Leveraging Virtual Hackathons for Rapid Ideation

The COVID-19 crisis brought about an unprecedented wave of interest into rapid ideation and innovation. Among others, the pandemic triggered a series of collaborative innovation events—so-called hackathons—to leverage the power of the crowd for crisis response. In contrast to earlier hackathons, these events are different in their speed of mobilization, global scale, and their fully virtual nature with organizers and teams being geographically dispersed. Analyzing this new empirical phenomenon, we characterize COVID-19 hackathons against other forms of innovation crowdsourcing and describe challenges and best practices in the areas of people management, session management, technology, and knowledge management. Based on our empirical findings, we develop a conceptual framework that emphasizes the importance of managing virtual crisis hackathons as the integrated sum of its different parts. Empirical evidence is presented to demonstrate how open innovation efforts such as hackathons can be leveraged for crisis management and more generally for ideation activities in increasingly remote working environments. This article contributes to crowdsourcing research by highlighting key differences of virtual hackathons from the traditional crowdsourcing approaches and hackathons investigated by prior research. Moreover, we affirm the value of mobilizing knowledge from different sources, particularly from a broad spectrum of civil society.

Carbon Trading Market and Green Innovation of Enterprises—Based on the Triple Difference Model

This article takes Chinese manufacturing listed companies from 2000 to 2020 as the research object, based on enterprise green patent data, and adopts a double difference method to study the effect of carbon trading pilot policies, a quasi-natural experiment, on enterprise innovation. Research has found that: (1) The carbon trading pilot policy has significantly promoted green innovation in enterprises and increased their technological innovation efforts. This conclusion remains valid after a series of robustness tests and endogeneity treatments, including placebo testing, excluding the implementation of innovative city pilot policies, and interference from economic crises. (2) Mechanism testing has found that carbon trading pilot policies can significantly promote green innovation in enterprises by strengthening the effectiveness of environmental regulations and improving the cash flow situation of enterprises. (3) Heterogeneity analysis shows that the concentration of technology and the degree of equity dispersion in enterprises can affect the effectiveness of innovation. In response to the above conclusions, this article proposes suggestions for improving the carbon trading system, exploring multidimensional paths for carbon trading pilot projects to promote enterprise innovation, and improving policy adaptability, flexibility, and execution intensity. The research in this article provides policy inspiration for further improving the carbon trading market, enhancing the effectiveness of the carbon trading system, and fully leveraging the carbon market to promote green innovation for enterprises and achieve low-carbon development. It has reference significance for the construction and improvement of the national carbon market and promotes the improvement of national energy conservation and emission reduction policy planning.

B2B Customer Engagement Customer Behaviour Forecast Application

The paper presents the "Casper Customer Behavior Forecast Application" a creative project focused on the creation of an advanced decision support software system. The purpose of this system is to closely observe, fully analyze, and precisely predict the behaviors of Casper Business-to-Business (B2B) clients. Our research study implements an innovative methodology by focusing on the enhancement of client interactions through the utilization of RESTful services. Our objective is to reimagine the future of customer relationship management by analyzing and forecasting client behavior in the business-to-business (B2B) setting. The project involves a comprehensive methodology that incorporates extensive study, complex software design, and careful data analysis. In more detail, it involves extensive monitoring of consecutive RESTful interactions carried out by business-to-business consumers across a period of time. By leveraging the capabilities of modern machine learning and deep learning algorithms, our objective is to develop prediction models that establish novel benchmarks within the industry. The methodology employed in this study includes the development of labeled behavioral datasets and the utilization of a supervised machine learning framework. The evaluation of model performance will be performed systematically using a range of metrics, such as F-Score and Accuracy, in order to establish the model's robustness and reliability in making accurate predictions. The expected outcomes of this project have the potential to bring about significant changes. Primarily, the integration of machine learning and deep learning algorithms will provide our company with an important amount of knowledge. Our organization will obtain an innovative software solution that possesses the capability to precisely forecast the future actions of B2B customers. This results in enhanced inventory management and a significant reduction in client waiting periods, resulting in increased levels of customer satisfaction. Additionally, this study has the potential to make significant additions to the global academic body of knowledge in the domains of machine learning and deep learning. In simple terms, the project titled "Casper Customer Behavior Forecast Application" embodies an innovative and academic effort aimed at enhancing customer engagement and predicting customer behavior within the context of business-to-business (B2B) interactions. This research project carries considerable importance, both in its potential to reinvent the field of customer relationship management and its ability to contribute to the global academic conversation on machine learning and deep learning.

Energy Management System Technology in Smart Grid

The smart grid, envisioned as the future of the power industry, aims to revolutionize energy supply with efficiency and sustainability. This paper extensively examines the critical role of Energy Management System (EMS) technology within the smart grid framework. By harnessing advanced technologies like distributed energy storage, intelligent energy management, electric vehicle charging, intelligent energy dispatching, and fault perception diagnosis, the smart grid promises heightened power system efficiency, reliability, and environmental consciousness. In today's dynamic energy landscape, the integration of renewable sources introduces a unique challenge due to their inherent volatility. EMS emerges as the linchpin, offering real-time monitoring and data-driven optimization to ensure grid stability amid fluctuating supply. The smart grid, with advanced information technology and intelligent control strategies, leans heavily on EMS for seamless energy production, transmission, and consumption. However, challenges persist, encompassing stable energy supply, security, infrastructure upgrades, and cross-border standardization. Yet, with sustained technological innovation and collaborative efforts, a future of intelligent, sustainable, and reliable power systems is attainable. In conclusion, EMS integration into the smart grid not only signifies technological progress but also heralds a monumental shift towards a greener, more sustainable energy landscape. This paper provides a comprehensive exploration of how EMS, as the backbone of the smart grid, empowers us to navigate the complexities of modern energy demands, paving the way for a brighter, more efficient future.

KARAKTERISTIK FUNGSIONAL DAN UJI HEDONIK KUKIS KETAWA BERBAHAN DASAR TEPUNG GANDUM UTUH LOKAL

Laughing Cookies are a traditional snack made from local whole wheat flour (Gaul). Cookie dough added with kimpul flour is one of the innovative efforts to process the abundant kimpul commodity in Cukilan Village, Semarang Regency, Central Java. This study aimed to determine the panelists' functional characteristics and level of preference for the laugh cookies made from local whole wheat flour. The laugh cookies are made with three formulations, namely A (1:0), B (1:1), and C (1:2) (Gaul flour: kimpul flour ratio). The results of the hedonic test with the parameters texture, color, aroma, taste, and overall showed that the fifty panelists liked formulations A, B, and C, respectively, with a score of 3.7-3.8 respectively (neutral – somewhat like); 3.1-3.6 (neutral – somewhat like), and 2.9-3.4 (dislike - neutral). Based on the panelists' preference for Formulations A and B, these two formulas were tested for fiber. The crude fiber content in formulations A and B was 42.74% and 46.22%, respectively. Based on the study's results, it can be concluded that the formulation of the laugh cookies has a different effect on the level of preference and crude fiber. The best treatment was formulation A, with the highest preference level and high oil fiber.

Implementation of Fun and Educative Methods in Arabic Learning For Students of Jamiat Cotabato and Institute of Technology, Philippines

Abstract. This international community service program was carried out to deal with the problems in the Islamic education system in Jamiat Cotabato and Institute of Technology, Philippines, and to propose effective ways to enhance traditional Madrasah education in Cotabato city by introducing and implementing fun and educative methods in Arabic learning among Mindanao Muslims in the Philippines. This program focused on how to deal with the language learning problem, Arabic learning in particular, among the Mindanao Muslims. The Likert Scale was used in this qualitative method to measure the effectiveness of method implementation in the classroom by using Simple Random Sampling (SRS). The most important results are that 70.8% of respondents understood how to make and implement creative and innovative learning in Arabic learning after they participated in the workshop 54,2% of respondents strongly agreed and 45,8% agreed that the creative and innovative efforts to develop Arabic learning and teaching are most important and needed to deal with the classic problem and new challenges in this digital era

The microtonal guitar: Türkiye’s Segovia moment

The use of microtones in guitar music is not an innovative phenomenon as it is thought. It has been used for different tuning systems and by composers working on non-12edo music throughout history. Although this concept is not as widespread as conventional guitar music, many experimental studies have been conducted to tune microtones more accurately. This article aims to present practical tools for the reader on methods to produce microtones on the guitar, especially Tolgahan Çoğulu’s adjustable microtonal guitar project, and the developments in microtonal guitar music in Türkiye since the project began in 2008 to 2021. The findings on this topic are shared from a guitar music specialist’s perspective. It aims to be helpful, especially for guitarists who are unfamiliar with microtonal music approaches in guitar music. The study consists of two parts. In the first part, the microtonal strategies in guitar music were compiled. Practical ways to achieve microtones on conventional guitars, non-12edo fixed fret layouts, fretlets concept, and movable fret guitars are examined individually, and their advantages and disadvantages are listed in terms of their usability. In the second part, the attainments of the Adjustable Microtonal Guitar Project were examined. By using the principles determined by Andres Segovia in the formation of modern guitar music in the 1920s as a model, the composers who composed for this instrument, the performers who used the instrument, the success in the presentation of the project in social media, the awards it won in international competitions, microtonal guitar competitions and festivals, academic and pedagogical studies were researched. The findings show that the adjustable microtonal guitar gives precise results in tuning compared to the other strategies mentioned. Even though it causes difficulties in changing the frets between different pieces in terms of time, it is the most suitable result for using microtones on the guitar, as it makes it possible to perform all kinds of work. In the project’s short history, the Adjustable Microtonal Guitar project crossed national borders and created its ecosystem with the innovative efforts of the inventor.

Optimal Control of SLBRS with Recovery Rates

In the information age, frequent information exchange has provided a breeding ground for the spread of computer viruses. The significant losses caused by computer virus attacks have long rung the alarm for information security. From academia to businesses, and even to government, everyone remains highly vigilant about information security. Researchers have put forward various approaches to combat computer viruses, involving innovative efforts in both the hardware and software aspects, as well as theoretical innovation and practical exploration. This article is dedicated to theoretical exploration, specifically investigating the stability of a computer virus model, known as SLBRS, from the perspective of optimal control. Firstly, a control system is introduced with the aim of minimizing the costs related to network detoxification and diminishing the percentage of computers impacted by the virus. Secondly, we employ the Pontryagin maximum principle to analyze the optimality of a control strategy for the proposed system. Thirdly, we validate the effectiveness of our theoretical analysis through numerical simulation. In conclusion, both theoretical analysis and numerical simulation reveal that the utilization of optimal control analysis to stabilize the SLBRS has been demonstrated to be advantageous in restoring contaminated computer network environments.

Do Mergers and Acquisitions Promote R&D? The Case of European Innovation and Technology sector

Innovation efforts and R&D play a foundational role for companies seeking to further develop their products and services and secure a sufficient market share. This is especially relevant for knowledge-intensive fields, particularly for the Innovation and Technology Sector, where players are constantly challenged with adapting to its multi-faceted nature, processing large amounts of data, and rapid innovation transfer. Thus, it is important to study the factors that contribute to R&D intensity and encourage innovations in detail. The study explores the impact of M&A activity on R&D intensity and R&D spending increase of both the acquiring companies and their targets in European Union. The final sample consists of 85 companies that had implemented M&A deals in the Innovation and Technology sector of the EU between 2007 and 2021, acting as acquirers or targets in these deals. The data is collected from Refinitiv Eikon database. Subgroups are determined based on categorization established by the European Commission. These include Business support service activities, Computer programming, Data processing, Manufacturing, and Telecommunications. In addition, financial data was collected on non-merging companies for forming a control group for the analysis. Difference-in-difference and probit model estimation methods are used to analyze the effect of M&A activity on the companies involved. The results show that the R&D intensityof both acquirers and targets decreases in the post-merger period. As for R&D expenditures, they increase for acquiring companies, while the effect is the opposite for their targets. The study contributes to the literature as it, unlike other similar studies that focus mostly on one group of actors, differentiates between the effect on the innovation activity of targets and the effect on the acquirers. The results could be used to increase the knowledge of the M&A effect on innovation efforts in the Innovation and Technology sector in European countries and understanding the possible problems it could lead to.