Fabiola Talavera - Mendoza, Maria Luz Gonzales Diaz, Víctor Raúl Rojas Gómez, Ronald Orlando Pocco Hancco
The historical cultural heritage articulates the past and the present, to revalue itself as a didactic process from the classroom, linked to the growing use of mobile technology in education, it generates new spaces for innovation in teaching methodology. Therefore, we intend to evaluate, through the judgment of experts, instruments of the construction features of a Serious Game and from a student’s perspective their excitement and satisfaction. The approach is quantitative, with an instrumental study of content validity and a correlational descriptive design. The usability instrument was validated by 6 expert judges through the V of Aiken. The study population is made up of 35 secondary school students, showing a high positive correlation of 0.785 between satisfaction and emotions. We conclude that the validity and reliability criteria are positive and relevant for the measurement. In addition, the students achieved high motivation, satisfaction and interest in the historical cultural heritage through the Serious Game.
{"title":"Evaluation of the Usability of a Serious Game: Through Emotions and Satisfaction","authors":"Fabiola Talavera - Mendoza, Maria Luz Gonzales Diaz, Víctor Raúl Rojas Gómez, Ronald Orlando Pocco Hancco","doi":"10.1145/3474880.3474889","DOIUrl":"https://doi.org/10.1145/3474880.3474889","url":null,"abstract":"The historical cultural heritage articulates the past and the present, to revalue itself as a didactic process from the classroom, linked to the growing use of mobile technology in education, it generates new spaces for innovation in teaching methodology. Therefore, we intend to evaluate, through the judgment of experts, instruments of the construction features of a Serious Game and from a student’s perspective their excitement and satisfaction. The approach is quantitative, with an instrumental study of content validity and a correlational descriptive design. The usability instrument was validated by 6 expert judges through the V of Aiken. The study population is made up of 35 secondary school students, showing a high positive correlation of 0.785 between satisfaction and emotions. We conclude that the validity and reliability criteria are positive and relevant for the measurement. In addition, the students achieved high motivation, satisfaction and interest in the historical cultural heritage through the Serious Game.","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128153769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The securities market is characterized by high returns and high risks, and the issue of securities investment portfolio has always been a problem worthy of study. Multi-objective genetic algorithm is widely used in portfolio problems because of its ability to deal with large-scale search space independently of the problem domain, and to solve the problem through loop iterative parallel search. However, the local search performance of the existing multi-objective genetic algorithm is relatively weak, and the cross-mutation process ignores the density information around the individual, which limits the search performance of the algorithm to a certain extent. In order to solve the above problems, this paper proposes an improved multi-objective genetic algorithm investment portfolio scheme. First, the improved Sigmoid function is introduced to realize the adaptive change of the mutation operator, and the population distance between individuals is incorporated into the cross-mutation operation to optimize the search performance of the algorithm. A large number of experiments show that this scheme can be used to solve the Pareto optimal solution set of the portfolio optimization problem, and it has faster convergence than the multi-objective genetic algorithm before the improvement, which can effectively improve the Pareto optimization of the securities investment portfolio. The search performance of the solution set.
{"title":"Optimization of Investment Portfolio Based on Improved Multi-Objective Genetic Algorithm","authors":"Haibin Li","doi":"10.1145/3474880.3474903","DOIUrl":"https://doi.org/10.1145/3474880.3474903","url":null,"abstract":"The securities market is characterized by high returns and high risks, and the issue of securities investment portfolio has always been a problem worthy of study. Multi-objective genetic algorithm is widely used in portfolio problems because of its ability to deal with large-scale search space independently of the problem domain, and to solve the problem through loop iterative parallel search. However, the local search performance of the existing multi-objective genetic algorithm is relatively weak, and the cross-mutation process ignores the density information around the individual, which limits the search performance of the algorithm to a certain extent. In order to solve the above problems, this paper proposes an improved multi-objective genetic algorithm investment portfolio scheme. First, the improved Sigmoid function is introduced to realize the adaptive change of the mutation operator, and the population distance between individuals is incorporated into the cross-mutation operation to optimize the search performance of the algorithm. A large number of experiments show that this scheme can be used to solve the Pareto optimal solution set of the portfolio optimization problem, and it has faster convergence than the multi-objective genetic algorithm before the improvement, which can effectively improve the Pareto optimization of the securities investment portfolio. The search performance of the solution set.","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","authors":"","doi":"10.1145/3474880","DOIUrl":"https://doi.org/10.1145/3474880","url":null,"abstract":"","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"451 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131890364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Policy decisions and marketing models have a great impact on the specific application of customer relationship management. In various fields of marketing, big data marketing is gradually popularized as a combined product. The so-called big data marketing refers to collecting a large amount of behavior data through the Internet, primarily helping advertisers find out the target audience to analyze the content, time and form of advertising and finally complete the marketing process of advertising. The big data marketing can also be used for effective customer relationship management, which not only effectively enhance customer stickiness and reduce enterprise operating costs, but also has great significance for deeply mining the potential value of existing customers, predicting the future demand trend of customers, discovering new market growth points and developing new customer groups. Taking the large FMCG company A as the research subject, its sales is grim and stagnant: the purchase quantity of products is low; the price is lower than the cost; simple reproduction is difficult to continue. In order to change the current situation of company A, first of all, we cooperate with the marketing team to determine the business needs, using SQL and python to conduct exploratory data analysis (EDA) on 110k + e-commerce transaction data, and generate Data-Driven Insights on purchasing behavior and product sales; secondly, we use Python to establish RFM model (recent degree, frequency, currency), classify customers and calculate. Finally, according to the above customer analysis, a feasible listing strategy is proposed, which is expected to increase the retention rate by 3.5% and the monthly sales by 6%. Through big data marketing calculation, we come to a solution for the current situation of company A, which will have a good influence on many other companies.
{"title":"Application of Big Data Marketing in Customer Relationship Management","authors":"Pengzhi Yin, Hao-Cheng Huang, Mengxuan Zhao, Ying Zhu","doi":"10.1145/3474880.3474882","DOIUrl":"https://doi.org/10.1145/3474880.3474882","url":null,"abstract":"Policy decisions and marketing models have a great impact on the specific application of customer relationship management. In various fields of marketing, big data marketing is gradually popularized as a combined product. The so-called big data marketing refers to collecting a large amount of behavior data through the Internet, primarily helping advertisers find out the target audience to analyze the content, time and form of advertising and finally complete the marketing process of advertising. The big data marketing can also be used for effective customer relationship management, which not only effectively enhance customer stickiness and reduce enterprise operating costs, but also has great significance for deeply mining the potential value of existing customers, predicting the future demand trend of customers, discovering new market growth points and developing new customer groups. Taking the large FMCG company A as the research subject, its sales is grim and stagnant: the purchase quantity of products is low; the price is lower than the cost; simple reproduction is difficult to continue. In order to change the current situation of company A, first of all, we cooperate with the marketing team to determine the business needs, using SQL and python to conduct exploratory data analysis (EDA) on 110k + e-commerce transaction data, and generate Data-Driven Insights on purchasing behavior and product sales; secondly, we use Python to establish RFM model (recent degree, frequency, currency), classify customers and calculate. Finally, according to the above customer analysis, a feasible listing strategy is proposed, which is expected to increase the retention rate by 3.5% and the monthly sales by 6%. Through big data marketing calculation, we come to a solution for the current situation of company A, which will have a good influence on many other companies.","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130253903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meiryani Meiryani, Klara Karlita Rianty, Zaidi Mat Daud, Thomas Andrian, Ilham Condro Prabowo
The purpose of this study is to obtain empirical evidence that the audit market concentration, the market power of public accounting firms can affect the Audit Fee. This research was conducted on 805 observations that listed on the Indonesia Stock Exchange for the period 2017 - 2019. The method of analysis used in this study is panel data regression with Audit Fees as the dependent variable. This study uses market share proxies in measuring the independent variables of market concentration and market power. This study found that the market concentration of audit services and market power has a negative effect on Audit Fees.
{"title":"The Effect of Audit Service Market Concentration and Power Market of Public Accountant Office on Audit Fee","authors":"Meiryani Meiryani, Klara Karlita Rianty, Zaidi Mat Daud, Thomas Andrian, Ilham Condro Prabowo","doi":"10.1145/3474880.3474901","DOIUrl":"https://doi.org/10.1145/3474880.3474901","url":null,"abstract":"The purpose of this study is to obtain empirical evidence that the audit market concentration, the market power of public accounting firms can affect the Audit Fee. This research was conducted on 805 observations that listed on the Indonesia Stock Exchange for the period 2017 - 2019. The method of analysis used in this study is panel data regression with Audit Fees as the dependent variable. This study uses market share proxies in measuring the independent variables of market concentration and market power. This study found that the market concentration of audit services and market power has a negative effect on Audit Fees.","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134423104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the help of the Blended Learning theory and the current teaching of applied technology university, Blended Learning model of marketing course is designed. First of all, the author got in-depth knowledge of the relevant theories of Blended Learning and the teaching status of applied technology universities through the literature and observation method. The author looked into the students' attitude towards new teaching model and through the questionnaire survey and set the stage for Blended Learning. The Blended Learning model was designed by taking the teaching environment, resources, process, evaluation and so on into consideration. Finally, the designed teaching model is put into teaching practice. It is concluded that Blended Learning motivates students and help students get practical skills by the means of data analysis and questionnaire survey. Multiple evaluation methods can evaluate students' learning results in all aspects.
{"title":"Blended Learning Design of Marketing Course at Applied Technology University","authors":"Qi Huang, Xiaofeng Li, Hailing Liu","doi":"10.1145/3474880.3474883","DOIUrl":"https://doi.org/10.1145/3474880.3474883","url":null,"abstract":"With the help of the Blended Learning theory and the current teaching of applied technology university, Blended Learning model of marketing course is designed. First of all, the author got in-depth knowledge of the relevant theories of Blended Learning and the teaching status of applied technology universities through the literature and observation method. The author looked into the students' attitude towards new teaching model and through the questionnaire survey and set the stage for Blended Learning. The Blended Learning model was designed by taking the teaching environment, resources, process, evaluation and so on into consideration. Finally, the designed teaching model is put into teaching practice. It is concluded that Blended Learning motivates students and help students get practical skills by the means of data analysis and questionnaire survey. Multiple evaluation methods can evaluate students' learning results in all aspects.","PeriodicalId":332978,"journal":{"name":"Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126800611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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