Innovative Online Research Articles

FranchiseGlobal.com Business Development Strategy: Analysis Using Financial Planning at FranchiseGlobal.com

This research aims to analyze the business development strategy of FranchiseGlobal.com through a comprehensive financial planning approach. As a digital platform offering franchise and business opportunities, FranchiseGlobal.com aspires to become the leading and innovative online franchise media. The research analyzes short-, medium-, and long-term financial planning to achieve profitability and business sustainability. A qualitative descriptive method and thematic analysis were employed for data analysis. The study examines key financial planning elements, including revenue planning, cost management, capital requirements, and five-year financial projections. The results show that sound financial planning can help the company achieve profitability targets within five years, indicated by a positive NPV, IRR above 10%, and a payback period of less than four years. The company's projected revenue growth is expected to remain stable through diversification of revenue streams and efficient capital management. The study concludes that appropriate financial strategies will be a crucial foundation for FranchiseGlobal.com to become Indonesia's leading digital franchise platform.

Analysis of the Impact of Hema Supermarket's Innovation Strategy on Marketing Effectiveness

Abstract: Hema Fresh is an innovative online and offline integrated new retail fresh supermarket. In recent years, Hema Xiansheng has been popular with consumers in major cities in China. Adhering to the concept of "freshness, convenience, quality and Internet", it is committed to providing consumers with fresh, high-quality food and convenient shopping experience. This paper aims to analyse the impact of Hema supermarket's innovative approach on its marketing effectiveness through theoretical analysis and comparative research. Through research and analysis, the innovation strategy of Hema Supermarket has a positive impact on its marketing effectiveness and is a key factor for its success. In addition, this article explores how Hema Supermarket can succeed and summarizes its marketing advantages, highlighting strengths and avoiding weaknesses, providing references for similar enterprises.

Customers' sentiment on food delivery services: An Arabic text mining approach

The Covid-19 pandemic has accelerated the shift in organizations' strategies toward innovative online services. Customer reviews on platforms for online ordering and delivery are a vital source of information about how well a business is performing. Businesses that provide food delivery services (FDS) seek to leverage consumer input to locate areas where customer satisfaction could be raised. Sentiment analysis (SA) has been the subject of an enormous amount of English-language research. Despite Arabic's increasing popularity as a writing language on the Internet, not much study has been conducted on sentiment analysis of Arabic up to this point, with a limited number of publicly available resources for Arabic SA such as datasets and lexicons. The present study collects FDS-related reviews in Arabic to conduct extensive emotion mining, taking advantage of Natural Language Processing, feature selection, and Machine Learning techniques to elicit personal judgments, identify polarity, and recognize customers’ feelings in the FDS domain. To demonstrate that the proposed approach is suitable for analyzing human perceptions of FDS, we designed and carried out excessive experiments that assess the utility of each phase. Our highest categorization accuracy was 90 % using Mutual Information with the SVM classifier. The study's findings provide various managerial insights for improving their plans and service delivery, as well as revealing the main reasons for consumer complaints. It also demonstrates how future academics might harness the power of online business reviews in Arabic using a variety of text-mining approaches.

Enhancing Team Cohesion Through a Custom MOBA Game: Development, Implementation & Impact

The quality of a team in organizations has an impact on the success of the team in achieving their goals. Team building activities are one of the elements which can improve relationships in different kinds of teams. One of those can be playing competitive digital games, whether for teams working remotely or on site. This paper presents a case study that explores the design and development process of an innovative online game that combines elements of third-person action and multiplayer online battle arena (MOBA) games to provide an experience that strengthens team cohesion. The game design and mechanics support distribution of team roles based on Belbin's theory, highlighting the importance of diverse roles for balanced team functionality. By integrating unique character functions, the game encourages players to understand and appreciate the different roles individuals play in a team, enhancing empathy and mutual respect among team members. The game is uniquely designed to be simpler and more accessible than typical MOBAs, making it an ideal tool for educational and organizational settings to boost team cohesion and communication skills among people from various backgrounds. The leveling of the playing field allows individuals with minimal gaming experience to participate fully and effectively. The design principles ensure that the core mechanics of the game encourage teamwork and effective communication over individual skill, emphasizing collective success. The case study delves into the development process, the challenges faced, the solutions implemented, and the outcomes observed as part of a research project conducted between 2022-2023. The findings suggest that game-based learning can significantly transform traditional team-building methods, introducing a new paradigm for fostering high-performance teams in an increasingly digital world.

The effect of productive and quality deposition strategies on residual stress for Directed Energy Deposition (DED) process

In the Directed Energy Deposition (DED) realm, challenges persist concerning process stability and mechanical properties in as-built components. Facts like inconsistent laser head feed rate and accumulated heat during multi-layer deposition result in variations in melt pool energy, causing variant clad widths and heights. Moreover, significant residual stress in as-built DED parts can induce excessive distortions and cracking. To tackle these challenges, offline energy control systems that adjust laser power or feed rate have been implemented to manage melt pool energy and improve productivity. Additionally, an innovative online clad height compensation system has been developed to achieve global height geometry, further boosting productivity. However, the impact of these productive and quality control systems on the mechanical properties of austenitic stainless-steel parts, specifically residual stress, remains unexplored. In this research, residual stress measurements in as-built DED thin wall parts fabricated with energy and/or height control strategies using neutron diffraction have been investigated. The control of three key DED parameters influencing residual stress distribution and magnitude has been identified and discussed. Measurements indicate that neither offline energy control nor online height control adversely affects the quality of the thin wall parts and offline LP-based energy control can reduce residual stress magnitude and its variation. Additionally, the height control results in compressive residual stress with elevated magnitudes. Furthermore, aggressive DED parameters hold the potential for further improvement by pairing with an energy control strategy. This study establishes a foundation for further developing comprehensive control strategies designed to enhance the productivity and quality of DED systems.

Supporting the infrastructure operators with customer specific AE-monitoring solutions

Cost-effective and efficient monitoring of infrastructure is crucial for planning maintenance and repairs while ensuring the safety of the structure. Acoustic emission is a method particularly suitable for long-term monitoring. However, the necessary extended monitoring period incurs high costs for the operator, primarily due to the exceptionally high costs of measuring equipment. The need for a tailored monitoring system for infrastructure applications is evident. TÜV AUSTRIA is developing a monitoring system called RISE, which represents a customized solution for steel bridge monitoring. The innovative online monitoring solution RISE assists experts with structural monitoring. Due to its compact design, low power consumption, and easy installation, the measuring system is specifically designed for continuous monitoring. Specifically, RISE is introduced for the hotspot monitoring of railway steel bridges. The passage of trains triggers a material response that can be recorded by the measuring system. This is used to perform crack monitoring on bridges and to have a tool for assessing crack activity and the degree of damage. This enables targeted planning of repairs and maintenance activities. Reducing the operating costs of the structure and ensures it save operation. The system is being developed to function robustly and provide a high level of automation. A demonstration of AE-monitoring of active cracks on a main bridge girder was done during a fatigue test in cooperation with the TU Graz. The girder was removed from a deconstructed bridge.

Students' Perception On Duolingo in Enhancing Vocabulary Mastery

The advent of technology has ushered in a plethora of engaging and innovative online learning tools for English, one of the them is Duolingo app standing out as an accessible and effective platform for language acquisition, particularly in English. This study aims to elucidate and observe students' perspectives on utilizing Duolingo software for vocabulary mastery at IAIN Lhokseumawe. Employing qualitative analysis techniques, the research employed a combination of tests, questionnaires, and interviews to gather data. The non-probability sampling method was utilized, with 20 students from the fifth semester selected as the sample. The study revealed that a majority of students were motivated to enhance their English vocabulary through the Duolingo application. The app provided an easy-to-understand platform, sparking interest and enthusiasm among students for learning new words. Furthermore, Duolingo proved the fact in preventing boredom during learning sessions and fostering novel approaches to learning. The research findings suggest a positive and highly beneficial perception among students regarding the use of Duolingo for enhancing vocabulary while learning English.

446.10: Empowering transplant professionals: An innovative online training initiative from a developing country.

446.10: Empowering transplant professionals: An innovative online training initiative from a developing country.

OnsitNet: A memory-capable online time series forecasting model incorporating a self-attention mechanism

Traditional time series (TS) forecasting models are based on fixed, static datasets and lack scalability when faced with the continuous influx of data in real-world scenarios. Real-time online learning of data streams is crucial for improving forecasting efficiency. However, few studies focus on online TS forecasting, and existing approaches have several limitations. Most current online TS forecasting models merely train on data streams and are ineffective in handling concept drift scenarios. Furthermore, they often fail to adequately consider dependencies between variables and do not leverage the robust modeling capabilities of offline models. Therefore, we propose an innovative online learning method called OnsitNet. It consists of multiple learning modules that progressively expand the receptive field of convolutional kernels within the learning modules using an exponentially growing dilation factor, aiding in the capture of multi-scale data features. Within the learning modules, we propose an online learning strategy focusing on memorizing concept drift scenarios, with a fast learner, memorizer, and Pearson trigger. The Pearson trigger activates dynamic interaction between the fast learner and memorizer by detecting new data patterns, facilitating online rapid learning of data streams. To capture the dependencies between variables, we propose a new model, SITransformer, which is a streamlined version of the offline model ITransformer. Unlike the traditional Transformer, it reverses the roles of the feed-forward network and the attention mechanism. This inverted architecture is more effective at learning the correlations between variables. Experimental results on five real-world datasets show OnsitNet achieves lower online prediction errors, enabling timely and effective forecasting of future trends in TS data.

Supervised classification and fault detection in grid-connected PV systems using 1D-CNN: Simulation and real-time validation

Photovoltaic (PV) systems are prone to various faults, including short-circuit, open-circuit, partial shading, and inverter bypass diode issues, which reduce power output and can damage components. This study presents an innovative fault detection and online monitoring technique for grid-connected PV (GCPV) systems, combining Internet of Things (IoT) technology with a one-dimensional convolutional neural network (1D-CNN) deep learning approach. The method involves developing a temperature-dependent PV system model using series resistance and ideality factor, capturing real-time data from a 15kWp GCPV system with optimally placed sensors to minimize sensor count while maintaining data accuracy, and validating the model through MATLAB/Simulink simulations and real-time experiments under various fault scenarios. The collected data is used to train the 1D-CNN model to classify different fault types. The model is then implemented on an IoT platform for real-time monitoring and fault detection, displaying system status and alerts via a dashboard. The proposed system achieves a high fault detection accuracy of 98.15 % and 93.12 % during cyberattacks, with an uncertainty of ±4 %, significantly enhancing fault detection reliability and efficiency compared to existing methods. The IoT dashboard provides an effective tool for monitoring system performance and issuing alerts under abnormal conditions.

Applying Iterative Student Feedback across Flipped Classroom and Flexible Teaching Approaches: Impact on Veterinary Students' Learning Experience.

No single teaching strategy supports all learning styles in veterinary science students. To facilitate more convenient and flexible teaching, learning, and revision, an innovative online digital learning platform-VetCloud-was developed to provide access to modularized programme content across courses to promote active, integrated learning. This study aimed to understand student perceptions regarding the enhancement of the student learning experience in a foundational course in gastrointestinal anatomy and physiology at The University of Queensland across two learning cycles, via applying iterative student feedback in transitioning a flipped classroom approach using VetCloud for the delivery of lecture content in 2022 to a flexible learning approach in 2023. By 2023, the use of VetCloud in the flexible learning approach improved students' work/study/life balance, reduced their stress levels, and enabled a more efficient use of their time when studying, compared to the flipped classroom approach in 2022. Surveying student perceptions was integral to maximizing their learning experience. Data clearly demonstrates that students will mix-and-match how they interact with available options provided via flexible delivery on an individualized basis. This teaching method offers veterinary educators an innovative and efficient approach to veterinary student education in anatomy and physiology while enhancing student well-being.

Identifying health and healthcare priorities in rural areas: A concept mapping study informed by consumers, health professionals and researchers

BackgroundIt is vital that health service delivery and health interventions address patients’ needs or preferences, are relevant for practice and can be implemented. Involving those who will use or deliver healthcare in priority-setting can lead to health service delivery and research that is more meaningful and impactful. This is particularly crucial in rural communities, where limited resources and disparities in healthcare and health outcomes are often more pronounced. The aim of this study was to determine the health and healthcare priorities in rural communities using a region-wide community engagement approach.MethodsThis multi-methods study was conducted in five rural communities in the Grampians region, Western Victoria, Australia. It involved six concept mapping steps: (1) preparation, (2) generation (brainstorming statements and identifying rating criteria), (3) structuring statements (sorting and rating statements), (4) representation of statements, (5) interpretation of the concept map and (6) utilization. Community forums, surveys and stakeholder consultations with community members and health professionals were used in Step 2. An innovative online group concept mapping platform, involving consumers, health professionals and researchers was used in Step 3.ResultsOverall, 117 community members and 70 health professionals identified 400 health and healthcare issues. Six stakeholder consultation sessions (with 16 community members and 16 health professionals) identified three key values for prioritizing health issues: equal access for equal need, effectiveness and impact (number of people affected). Actionable priorities for healthcare delivery were largely related to access issues, such as the challenges navigating the healthcare system, particularly for people with mental health issues; the lack of sufficient general practitioners and other health providers; the high travel costs; and poor internet coverage often impacting technology-based interventions for people in rural areas.ConclusionsThis study identified actionable health and healthcare priorities from the perspective of healthcare service users and providers in rural communities in Western Victoria. Issues related to access, such as the inequities in healthcare costs, the perceived lack of quality and availability of services, particularly in mental health and disability, were identified as priorities. These insights can guide future research, policy-making and resource allocation efforts to improve healthcare access, quality and equity in rural communities.

From mindset to market: unveiling the nexus of cognition, behavior and environment in igniting students’ E-entrepreneurial intentions

PurposeIndia has witnessed a significant surge in internet users in recent years, creating an ideal environment for E-entrepreneurship. With the rise of E-commerce and the growth of the digital economy, there is tremendous potential for online businesses in developing nations. Our study outlines the behavioral, cognitive, and environmental aspects shaping students' E-entrepreneurial intentions (EEI).Design/methodology/approachOur study incorporated structural equation modeling (SEM), social cognitive theory (SCT), and entrepreneurial event model (EEM) to evaluate the EEI of 460 students from India's top five engineering institutes. The direct and indirect linkages in the model were examined by employing mediation and moderation analysis.FindingsOur findings reveal that behavioral, environmental, and cognitive factors facilitate evaluating feasibility, further igniting students' EEI. The cognitive factors and E-entrepreneurial feasibility (EEF) mediate the relationship between the underlying constructs. Furthermore, financial resource availability (FRA) strengthens, and loss aversion bias(LAB) weakens the linkage between EEF and EEM.Research limitations/implicationsThe study's findings may benefit online innovation communities, potential technopreneurs, financial institutions, and policymakers in improving the entrepreneurial ecosystem.Originality/valueThe study integrates psychological and sociological perspectives to understand the key facilitators of EEF and EEI. The study combines SCT and the EEM by appending crucial constructs such as FRA and LAB to broaden the horizons of EEI.

Engaging first year biomedical students with scientific literature via the innovative Perusall online reading platform

Engaging first year biomedical students with scientific literature via the innovative Perusall online reading platform

Innovative massive open online course for young researchers: impact of implementation in Kazakhstani universities

Innovative massive open online course for young researchers: impact of implementation in Kazakhstani universities

On the path to UHC, digital healthcare transformation with Karnataka’s online referral framework

BackgroundKarnataka, a trailblazer in Universal Health Coverage (UHC) initiatives, has implemented various features under the Ayushman Bharat-PMJAY-Arogya Karnataka scheme to improve the access to health. This study provides a thorough exploration of Karnataka’s innovative Online Referral System (ORS) within the framework of achieving UHC.MethodsThe study analyses the performance of the ORS using cross-sectional data from June 2022 to November 2023, providing insights into the distribution of referrals, strategic purchasing from private healthcare providers, and the top medical procedures referred. The article delves into the unique features of Karnataka’s Online Referral System, implemented in 2019, which has streamlined the referral process and enhanced communication among healthcare providers.ResultsThe findings underscore the positive impact of Karnataka’s ORS on healthcare efficiency, patient satisfaction, easy access to care and strategic purchasing from private healthcare providers. ORS demonstrates improved efficiency in referrals, mitigating the challenges associated with traditional manual process and is an important aspect in improving healthcare services. The system also provides insights on the specialities requiring more capacity building, the volume, completeness, and processing of referrals through the ORS.ConclusionKarnataka’s innovative ORS, presents a transformative solution for improving healthcare access, coordination, and outcomes, reinforcing Karnataka’s commitment to continuous innovation in healthcare delivery and progress towards Universal Health care. The system also offers valuable insights into specialties that require increased access, identifies gaps in the healthcare system, and outlines areas that need strengthening. The article concludes by advocating for the replication of Karnataka’s ORS model across India and suggests potential avenues for further research and improvement.

SHORT COMMUNICATION PAPER: " STRENGTHENING CONTINUING NURSING EDUCATION: A COMPREHENSIVE MODULE USING MOOCS FOR EFFECTIVE RISK COMMUNICATION IN GLOBAL HEALTH EMERGENCIES"

This study develops an innovative Massive Open Online Course (MOOC) module specifically designed for continuing nursing education considering the critical need for efficient healthcare risk communication in the context of global health emergencies. The study utilised Thiagarajan's 4D development model, which was modified into a 3D model consisting of the stages: define, design, and develop. Through a comprehensive literature analysis, the study attempted to identify variable risk communication strategies that are crucial for successfully handling the always-evolving complexity of health emergencies. A mixed-method approach was utilised to evaluate the readiness among nurses for learning through MOOCs, hence guiding the design and development processes. By employing rigorous literature reviews and focus group discussions, researchers identified and validated crucial information, which ultimately resulted in the development of a MOOC course on the IIUM iTtaleem platform. The developed MOOC module was thoroughly examined by subject matter experts to ensure its accuracy. The pilot test conducted with SASMEC nurses revealed a notable improvement in the participants' understanding and confidence regarding risk communication. The module's interactive elements, such as virtual simulations and case studies, were praised for offering hands-on learning opportunities. The result of the research is a MOOC module that can be accessed worldwide, containing video lectures, quizzes, and virtual scenarios. The dissemination of guidelines for integration into nursing education programmes has highlighted its capacity to strengthen healthcare systems in the face of global health concerns. Future intentions include implementing multilingual translations and partnering with international nursing organisations to guarantee ongoing relevance and influence in the dynamic field of global health emergencies.

Marketing Communication Strategy in Peer-to-Peer Lending for Indodana Online Loan Services to Appeal to Millennial Customers

The impact of the internet on financial technology, or fintech, is evident in the marketing of various goods, particularly online loans through peer-to-peer lending platforms. Indodana, by leveraging advancements in information technology, has actively developed a marketing communication strategy to appeal to the millennial generation. This research employs qualitative methods to evaluate the marketing communication strategy applied to Indodana's online loan products, focusing on how the company develops and implements this strategy to attract millennial customers. Information was collected through interviews, observations, literature reviews, and online searches involving informants, including members of the marketing team, online loan clients, and potential customers. Utilizing a seven-stage marketing communication approach, encompassing goal setting, objective establishment, message content creation, media selection, development of the promotional mix, budgeting, and evaluation, the study found that Indodana's marketing communication strategy is highly advantageous. The use of innovative information technology and online media channels effectively attracts customers and potential clients with clear and appealing content. Furthermore, addressing the uneven access to information technology is crucial to ensuring the continued accessibility of offline services.

Educate and Empower: An Online Intervention to Improve College Women’s Knowledge and Confidence When Communicating in a Romantic Relationship

Women provide the vast majority of unpaid family work, with deleterious associated outcomes including lost jobs, increased poverty, relationship dissatisfaction, and mental health concerns. Women’s unequal share of family work increased during the COVID-19 pandemic, and their mental health concerns were exacerbated. To prevent struggles with mental health and promote healthy communication and equal family work distribution, the PARTNERS communication model and an innovative online video intervention were created to teach college women about the importance of equitable family work distribution and healthy communication. Findings from this study suggested the PARTNERS intervention was effective in educating 303 undergraduate women about family work distribution, couple communication, and a model of effective communication, and improving college women’s confidence communicating with a romantic partner. Should these findings be replicated, the PARTNERS intervention may serve as a fiscally sustainable prevention model for future widespread service delivery to educate college women about family work distribution and effective communication and improve their confidence communicating with a romantic partner. Ultimately, this intervention may serve as a mechanism for social justice by contributing to the equalization of family work distribution, thus improving women’s relationship satisfaction and mental health.

Educating Nursing and Health Care Professionals to Create Sustainable Change Through Innovation Education.

Health care needs new solutions to address enduring challenges faced by our nurses, health care professionals, patients, and populations. This paper describes the need for preparing nurses and health care professionals with health care innovation education. One School of Nursing formalized innovation education through a new health care innovation online graduate certificate program. The Health Care Innovation certificate program is a 12 credit, four course online program open to nurses and health care professionals aiming to create positive change in the health care industry. Graduates of the Health Care Innovation Certificate program reflected on 1) their motivations to pursue the program; 2) how the program helped inform their innovation knowledge to develop their innovations; and 3) how the program supported their life transformative education. There is great potential to drive positive change for our health care industry through the availability of formalized innovation education for nurses and health care professionals in the United States. [J Nurs Educ. 2024;63(X):XXX-XXX.].