Online-Journals.org (International Association of Online Engineering)
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How Does the Congruence of Customer Brand Memory and Nostalgia Proneness Affect Customer-Based Brand Equity: Consequences in the Chinese Time-Honored Brands Context
Get PDFUnder the backdrop of Chinese time-honored brands, this paper examines the impact and mechanism of customer brand memory (CBM) and customer nostalgia proneness (CNP) on customer-based brand equity (CBBE). It takes into account the customer’s perspective and utilizes polynomial regression and response surface analysis. The study focuses on three aspects: consistency condition, difference under consistency condition, and asymmetry under inconsistency condition. The results show that: (1) CBBE increases when CBM and CNP are congruent or at similar levels; (2) the combination of high levels of CBM and CNP is more favorable for CBBE than the combination of low levels of CBM and CNP when they are congruent or at similar levels; (3) the combination of high levels of CBM and low levels of CNP is more conducive to customer-based brand equity (CBBE) than the combination of low levels of CBM and high levels of CNP when they are incongruent or at different levels. This study comprehensively examines the role of the memory-nostalgia relationship in the development of brand equity for Chinese time-honored brand enterprises. It offers new research insights for future studies and provides recommendations for brand management in these traditional brand enterprises
Assessing the Impact of Energy-related Sanctions on Russia and Their Consequences for Europe
Get PDFThis research paper investigates the impact of energy-related sanctions on the European energy sector in light of the Russian-Ukrainian military conflict. The study analyzes the S600ENP index returns using data from June 2018 to July 2023, divided into three distinct periods: pre-invasion, during sanctions, and post-sanctions. Descriptive statistics and distribution analysis reveal distinct market behaviors and volatility clustering during each period. The analysis of variance (ANOVA) test does not show significant differences in mean returns across the periods, indicating relatively consistent index performance. The stationarity test suggests non-stationarity in the index returns. The ARCH model demonstrates the persistence of volatility shocks influenced by geopolitical events like Russian sanctions. The findings underscore the importance of understanding market dynamics during geopolitical uncertainty and its implications for the European energy sector. Though the representation of the S600ENP index limits the research, future studies can explore alternative datasets and periods for more comprehensive insights
Study on Peasant Household’s Willingness to Continue Using E-Commerce Platform for Agricultural Products
Get PDFThe agricultural product e-commerce platform enables users in agriculture-related fields to complete online production, sales, trading, and payment. This paper employs a structural equation model to empirically examine the significant positive impact of platform environment, trust, satisfaction, polyfunctionality, operation cost, and other factors on peasant households’ intention for continuous use. This is achieved through the collection of questionnaires and the development of hypotheses and models using structural equation model (SEM). The platform environment, trust, satisfaction, and MF all benefit from lower operating costs
Scale Evolution of Higher Vocational Education and Measurement of Education Opportunity Difference Based on the Expansion Effect
Get PDFScale expansion of higher vocational education requires scientific instructions, therefore figuring out the spatial and temporal evolution laws of higher education is a meaningful work for realizing the scale expansion of quality-oriented higher vocational education. However, existing studies have neither discussed the effect of such instructions on the rewards of higher vocational education, nor considered the comprehensive influence of the promotive and instructive effect of market-oriented and society-oriented employment of high vocational education on its heterogeneous rewards. To fill in these research blanks, this paper studied the evolution of the scale of higher vocational education and the difference in educational opportunities based on the expansion effect. At first, this paper constructed a scale expansion effect model of higher vocational education to explore the reward mechanism of scale expansion of higher vocational education in the labor market. Then, the paper distinguished the different levels of higher vocational education, and analyzed the evolution mechanism of the unfairness degree of students or workers acquiring different-level higher vocational education opportunities during the scale expansion process of higher vocational education. At last, the experimental results and analysis results were given
The Development of a Fuzzy Model and Usability Test of a Recommended Interface Design for Mobile Phones for Elderly Users
Get PDFAlthough mobile phone application developers aim to design software to be user-friendly, elderly users report having problems with flexible user interfaces. The purpose of this study was to examine a range of flexible user interface designs for mobile phones with the aim of locating and addressing the limitations reported by elderly users. Accordingly, a fuzzy model drawing on a range of variables was developed from an age/vision impaired related data set for the development of a variety of basic design elements for user interfaces. The model was tested to assess the preciseness and accuracy of its functions, achieving a Mean Absolute Error (MAE) close to 0 and an Effectiveness Index (EI) close to 1, giving the model a high value for effectiveness. A subsequent usability test of the generated design interfaces using four types of mobile phones (18 screens in all) was conducted among 25 elderly users with vision impairment. The findings showed that the size and shape of both numeric and function buttons was a significant factor in assessing phone usability both for communication and for social media use, as was text and number size, although, significantly, the latter was qualified by screen size. Recommended numeric and dial function button sizes are 15.6mm and 16.2 mm, respectively. Likewise, recommended text and numbers sizes are 14 and 25 points, respectively. Furthermore, square-shaped buttons with rounded-edge buttons are the most suitable for elderly users, as is a background in a light shade, with texts and icons in dark colors. The model demonstrates that it is possible to design user interfaces with particular groups in mind such as the elderly and vision-impaired, in order to enhance mobile phone usability for these groups
Depression Detection Through Smartphone Sensing: A Federated Learning Approach
Get PDFDepression is one of the most common mental health disorders which affects thousands of lives worldwide. The variation of depressive symptoms among individuals makes it difficult to detect and diagnose early. Moreover, the diagnosing procedure relies heavily on human intervention, making it prone to mistakes. Previous research shows that smartphone sensor data correlates to the users’ mental conditions. By applying machine learning algorithms to sensor data, the mental health status of a person can be predicted. However, traditional machine learning faces privacy challenges as it involves gathering patient data for training. Newly, federated learning has emerged as an effective solution for addressing the privacy issues of classical machine learning. In this study, we apply federated learning to predict depression severity using smartphone sensing capabilities. We develop a deep neural network model and measure its performance in centralized and federated learning settings. The results are quite promising, which validates the potential of federated learning as an alternative to traditional machine learning, with the added benefit of data privacy.  
Possible Translation Problems, Their Causes, and Solutions in Agile Localization of Software
Get PDFThis paper presents some initial insights into practical translation problems that can occur during agile localization. Although agile localization is not a novel approach to software localization, the range of possible translation problems and their causes and solutions have not yet been described.
In order to write this paper, an ad hoc monolingual English corpus made up of user interface strings of one agile localized software product was used. The corpus was analyzed string by string, and various causes of translation problems, mostly relating to lacking context, were identified. The paper presents and discusses sample cases of these problems.
This paper tries to show that while agile localization can be used as an alternative to traditional localization, the development team must be open to cooperation with the localization team in order for agile localization to be successfully implemented; otherwise, problems will occur
Designing a Mobile Application for Children with Dyslexia in Primary Education Using Augmented Reality
Get PDFDyslexia is a learning disorder that hinders spelling, communication and reading comprehension in such a way that its objective proposes to design a mobile application for children with dyslexia in primary education using augmented reality. In the methodology, Design Thinking is used to help us solve the problems of users with group work and decision making to choose the best innovative proposal for its design, using the mobile prototype design tools called Figma, TinkerCad is used for 3D modeling and MetaClass Studio is used to visualize the augmented reality. In the results shows the analysis that is done to parents to find the main problems of children with dyslexia, so that the innovation team will be responsible for showing the solution that is the mobile application with augmented reality so that parents are comfortable with the proposed, finally the mobile prototype with augmented reality will be validated by 5 experts showing a 91% level of acceptance. As a conclusion is to provide a contribution to the educational society for the solution of problems in dyslexia leading to an improvement in communication of the child
"E-LabSheet Project" 4Cs-Based Supplementary Media for Flexible Learning: Is it Well Implemented?
Get PDFThis research aims to design and develop a learning product named the "E-LabSheet Project." E-LabSheet is a supplement to the computer network practicum. This module contains the 4C's of 21st-century skills to practice critical thinking, problem-solving, creativity, communication, and collaboration, organized in materials, exercises, and assignments and integrated with the video tutorials. Furthermore, this E-LabSheet is very simple to use because it can be read with a mobile device, which has become the daily life of 21st-century students known as Gen Z. In this study, the validity, practicality, and effectiveness of the product were tested. The development model used is 4D. For the validity test, the validation sheet consists of media aspects and material aspects by experts. To find out the practicality, we used a questionnaire with a g-form which students then filled out as users. Trials were conducted on two classes to determine the effectiveness of the media. The first class (class A) was treated without E-LabSheet media, and the second class (class B) was treated by giving a supplement in the form of E-LabSheet. The results of this study stated that the developed e-LabSheet media was successfully categorized as valid, practical, and effective. This module is a complementary media for flexible learning that can improve student learning outcomes for the better, especially in 4C skills. The comparison of the learning outcomes of the two classes showed that class B, which was given supplementary media, obtained better learning outcomes than class A
An Analysis of Emotional Responses of Students in Bilingual Classes and Adjustment Strategies
Get PDFStudents’ willingness to participate in bilingual communication is greatly influenced by their positive emotions in the bilingual class. The automatic recognition of students’ emotional state in bilingual class can assist teachers to correctly master the laws of students’ emotional changes during the bilingual learning process as fast as possible. However, the speech emotion features extracted by existing speech emotion recognition models are not universal and not suitable for bilingual speech emotion recognition, and the accuracy needs to be improved. To cope with these issues, this paper aims to study the emotional responses of students in bilingual class based on emotional analysis and provide adjustment strategies for it. At first, the signals of students’ speech records in bilingual class were pre-processed, the one-dimensional features of the signals were converted into 2-dimensional speech spectrum features so as to attain more useful information to facilitate the emotional recognition of students’ speech records in the bilingual class. Then this paper combined the bi-linear Convolution Neural Network (CNN) with capsule network to construct a bilingual class student emotion recognition model, and experimental results verified the effectiveness of the constructed model