Sentiment Analysis is a technique to determine the tone of a statement using computer software. It is an appliance of a linguistic and computer science intersection that could make a great impact on the business field. Lately, Sentiment Analysis has been used on social media platforms such as Twitter or Facebook to observe the tone of a statement. Examining the tone of tweets using the computer could be time-efficient and precise. SA studies could also be linked to Bitcoin. In this paper, I am using SA results of tweets on a given day to predict changes in the Bitcoin price and its returns. First, I collected the data, which included 31 data points of average sentiment scores and the corresponding 31 Bitcoin prices on the same day. The average sentiment scores were evaluated by VADER from a scale of -1 to 1 (-1 being the statements with the most negative tone, and 1 with the most positive). Then, I used linear regressions to predict Bitcoin price and returns using sentiment scores on the previous day/days. Predicting returns based on sentiments could allow me to find the relationship between Twitter users and Bitcoin and help me better understand the potential challenges. In the end, the predicted price was positively correlated to the sentiment scores the day before. Interestingly, the predicted return was negatively correlated with the sentiment scores and showed less correlation with a M coefficient of -0.86125.
{"title":"Predicting Bitcoin Prices Using Sentiment Analysis Results","authors":"Chunze Li","doi":"10.1145/3537693.3537700","DOIUrl":"https://doi.org/10.1145/3537693.3537700","url":null,"abstract":"Sentiment Analysis is a technique to determine the tone of a statement using computer software. It is an appliance of a linguistic and computer science intersection that could make a great impact on the business field. Lately, Sentiment Analysis has been used on social media platforms such as Twitter or Facebook to observe the tone of a statement. Examining the tone of tweets using the computer could be time-efficient and precise. SA studies could also be linked to Bitcoin. In this paper, I am using SA results of tweets on a given day to predict changes in the Bitcoin price and its returns. First, I collected the data, which included 31 data points of average sentiment scores and the corresponding 31 Bitcoin prices on the same day. The average sentiment scores were evaluated by VADER from a scale of -1 to 1 (-1 being the statements with the most negative tone, and 1 with the most positive). Then, I used linear regressions to predict Bitcoin price and returns using sentiment scores on the previous day/days. Predicting returns based on sentiments could allow me to find the relationship between Twitter users and Bitcoin and help me better understand the potential challenges. In the end, the predicted price was positively correlated to the sentiment scores the day before. Interestingly, the predicted return was negatively correlated with the sentiment scores and showed less correlation with a M coefficient of -0.86125.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82223904","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}
We investigated COVID-19 cases per country, macro-financial, and crypto market factors that might have affected Ethereum's price return in the top three countries of users, which were also affected by COVID-19 (United States, China, and Germany). Feasible Generalized Least Square (FGLS) was used as the methodology and the generalized method of moments (GMM) was tested for a robustness check. The findings revealed that Ethereum price returns were greatly affected by COVID-19 factors. Meanwhile, macro-financial factors (stock indices and gold) had stronger effects on the return of Ethereum price rather than the crypto market.
{"title":"Is Ethereum's Price Return Determined by COVID-19, Macro-financial, and Crypto Market Factors?","authors":"S. A. H. Havidz, Tiffani, Gaby, M. Widjaja","doi":"10.1145/3537693.3537714","DOIUrl":"https://doi.org/10.1145/3537693.3537714","url":null,"abstract":"We investigated COVID-19 cases per country, macro-financial, and crypto market factors that might have affected Ethereum's price return in the top three countries of users, which were also affected by COVID-19 (United States, China, and Germany). Feasible Generalized Least Square (FGLS) was used as the methodology and the generalized method of moments (GMM) was tested for a robustness check. The findings revealed that Ethereum price returns were greatly affected by COVID-19 factors. Meanwhile, macro-financial factors (stock indices and gold) had stronger effects on the return of Ethereum price rather than the crypto market.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89056140","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}
S. A. H. Havidz, Zefanya Angelita, Ingrid Claudia Calvilus, Junius, Tiffani
Our research investigated the effect of COVID-19 cases (cumulative positive and death cases) on Bitcoin price in the top three infected countries based on WHO (United States, Brazil, and India). Macro-financial and internal factors are employed as the other independent determinants of Bitcoin prices. We utilized feasible generalized least squares (FGLS) alongside generalized method of moments (GMM) for robustness check. The output revealed robustness across different econometric models. The findings unraveled that COVID-19 cumulative positive cases brought positive but insignificant impacts on Bitcoin returns, while its death cases stated the opposite. Macro-financial factors represented by stock indices and gold price imposed that they could be alternative investments to Bitcoin under the uncertain times of COVID-19. Liquidity and volume in respect to return discovery of Bitcoin are imperative instruments, as these internal factors move in the same direction with Bitcoin's demand and return movement. Efficiency in internal factors drives investors’ demand, hence pushing the increase in Bitcoin's return.
{"title":"Factors Impacting on Bitcoin Returns in the Top Three COVID-19 Infected Countries","authors":"S. A. H. Havidz, Zefanya Angelita, Ingrid Claudia Calvilus, Junius, Tiffani","doi":"10.1145/3537693.3537707","DOIUrl":"https://doi.org/10.1145/3537693.3537707","url":null,"abstract":"Our research investigated the effect of COVID-19 cases (cumulative positive and death cases) on Bitcoin price in the top three infected countries based on WHO (United States, Brazil, and India). Macro-financial and internal factors are employed as the other independent determinants of Bitcoin prices. We utilized feasible generalized least squares (FGLS) alongside generalized method of moments (GMM) for robustness check. The output revealed robustness across different econometric models. The findings unraveled that COVID-19 cumulative positive cases brought positive but insignificant impacts on Bitcoin returns, while its death cases stated the opposite. Macro-financial factors represented by stock indices and gold price imposed that they could be alternative investments to Bitcoin under the uncertain times of COVID-19. Liquidity and volume in respect to return discovery of Bitcoin are imperative instruments, as these internal factors move in the same direction with Bitcoin's demand and return movement. Efficiency in internal factors drives investors’ demand, hence pushing the increase in Bitcoin's return.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86717299","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}
This paper explores the rapid growth in the public valuations of SaaS companies and examines whether this growth can be explained by investment theory. SaaS companies have experienced a remarkable rise in stock market valuations in recent years. Through the construction of a SaaS Index, constituted of 20 publicly traded SaaS companies, the empirical study tests the efficacy of two traditional models of investment theory, The Capital Asset Pricing Model and Fama-French's 3 Factor Model. The Index is used as the basis for these models and additionally is supported by Linear Regression models. Ultimately, the assumptions which underlie these models are shown to be unsuitable for the SaaS Industry due its relative youth and unique characteristics. It then seeks to expand upon existing theory and practice by building a positive argument and highlighting additional possible factors including Growth, Profitability and Enterprise Value/Revenue which exhibit a greater explanatory role in share price movement. This enables the construction of a new model, of a company's revenue growth and Enterprise Value relative to revenue supported by a qualitative narrative which better accounts for the relative growth in the SaaS Index over the observed period. Ultimately, while this new model holds greater explanatory power, the underlying characteristics of SaaS companies such as the subscription model, capital efficiency and ability to scale are important and are more likely to be effective drivers of value into the future.
{"title":"Stuck Inside a Cloud: Do SaaS business models require a rethink of the traditional approach to public market valuation?","authors":"Toby McCoy","doi":"10.1145/3537693.3537743","DOIUrl":"https://doi.org/10.1145/3537693.3537743","url":null,"abstract":"This paper explores the rapid growth in the public valuations of SaaS companies and examines whether this growth can be explained by investment theory. SaaS companies have experienced a remarkable rise in stock market valuations in recent years. Through the construction of a SaaS Index, constituted of 20 publicly traded SaaS companies, the empirical study tests the efficacy of two traditional models of investment theory, The Capital Asset Pricing Model and Fama-French's 3 Factor Model. The Index is used as the basis for these models and additionally is supported by Linear Regression models. Ultimately, the assumptions which underlie these models are shown to be unsuitable for the SaaS Industry due its relative youth and unique characteristics. It then seeks to expand upon existing theory and practice by building a positive argument and highlighting additional possible factors including Growth, Profitability and Enterprise Value/Revenue which exhibit a greater explanatory role in share price movement. This enables the construction of a new model, of a company's revenue growth and Enterprise Value relative to revenue supported by a qualitative narrative which better accounts for the relative growth in the SaaS Index over the observed period. Ultimately, while this new model holds greater explanatory power, the underlying characteristics of SaaS companies such as the subscription model, capital efficiency and ability to scale are important and are more likely to be effective drivers of value into the future.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81774104","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 paper presents, in brief, a proposed blockchain-based architecture for optimal resource allocation, specifically financial resources, in a bounded-setting, called game. The solution touches upon actors involved and roles and rules of engagement, while setting the stage for a more complex proposal for future study. The paper is a review, set as a starting point for a more developed solution, which would allow for financial resources peer-sharing in a bounded setting, with automated functions.
{"title":"Using Blockchain for Optimal and Transparent Resource Allocation: A Proposed Solution for Fund Allocation: Brief overview","authors":"Roxana Voicu-dorobantu, Chibuzor Udokwu, Bogdan Bocșe","doi":"10.1145/3466029.3466056","DOIUrl":"https://doi.org/10.1145/3466029.3466056","url":null,"abstract":"The paper presents, in brief, a proposed blockchain-based architecture for optimal resource allocation, specifically financial resources, in a bounded-setting, called game. The solution touches upon actors involved and roles and rules of engagement, while setting the stage for a more complex proposal for future study. The paper is a review, set as a starting point for a more developed solution, which would allow for financial resources peer-sharing in a bounded setting, with automated functions.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73912688","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}
In all marketplaces, including Amazon, knowing how to add your product in the most appropriate category is one of the determining factors for its sale. However, this work of categorization remains a rather long process, which requires a lot of research on the platform, without being guaranteed that the category finally chosen is really the best adapted to its product. This becomes even more complex in the case of an intermediation agency like Bizon, which manages hundreds of accounts on Amazon for various clients, where it must add a large quantity of products, making sure to choose the right categories. Moreover, in such a case, the process can require a lot of patience, as it involves multiple exchanges between the seller (the agency's customer), the integrator (the person who manages the customer's account in the agency) and the platform (Amazon), which can slow down the whole process considerably, and consequently, generate possible frustrations. So, this paper introduces our research work which focused on the optimization of this categorization process. More technically, we used thousands of data from our best-selling products to train a clustering model capable of suggesting/predicting the best category for a product based on keywords. This approach has actually enabled us to eliminate the passing of information between the three actors, in this case reducing the process from days to seconds. In the rest of this paper, after a presentation of this new context of using clustering in e-commerce, we make a detailed presentation of the problem and a state of the art. The end of the paper is devoted to the definition of our experimentation protocol and the presentation of the first results.
{"title":"Clustering and e-Commerce: Towards a Crossroads in a Particular Context: Categorization of Amazon products problematic in intermediation agencies A new context for the use of clustering in e-commerce","authors":"Richardson Ciguene, Bertrand Marron","doi":"10.1145/3466029.3466697","DOIUrl":"https://doi.org/10.1145/3466029.3466697","url":null,"abstract":"In all marketplaces, including Amazon, knowing how to add your product in the most appropriate category is one of the determining factors for its sale. However, this work of categorization remains a rather long process, which requires a lot of research on the platform, without being guaranteed that the category finally chosen is really the best adapted to its product. This becomes even more complex in the case of an intermediation agency like Bizon, which manages hundreds of accounts on Amazon for various clients, where it must add a large quantity of products, making sure to choose the right categories. Moreover, in such a case, the process can require a lot of patience, as it involves multiple exchanges between the seller (the agency's customer), the integrator (the person who manages the customer's account in the agency) and the platform (Amazon), which can slow down the whole process considerably, and consequently, generate possible frustrations. So, this paper introduces our research work which focused on the optimization of this categorization process. More technically, we used thousands of data from our best-selling products to train a clustering model capable of suggesting/predicting the best category for a product based on keywords. This approach has actually enabled us to eliminate the passing of information between the three actors, in this case reducing the process from days to seconds. In the rest of this paper, after a presentation of this new context of using clustering in e-commerce, we make a detailed presentation of the problem and a state of the art. The end of the paper is devoted to the definition of our experimentation protocol and the presentation of the first results.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"57 7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83412590","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, Asl Lindawati, Erick Fernando, K. Deniswara, D. Wahyuningtias
The use of the right learning model greatly affects the success of the learning process between lecturers and students. Learning media can be a vehicle for channeling messages and learning information. Learning media that are well designed will greatly help students digest and understand the course material. IT-based learning media can be in the form of internet, intranet, mobile phone, and CD Room. Its main components include the learning management system (LMS) and learning content (LC). Learning in higher education will always change according to the characteristics of students, learning materials and the ever-evolving environment. This study aims to examine the role of information communication technology in learning. The research method in this research is a quantitative method with a survey method, distributing online questionnaires to information systems lecturers at Bina Nusantara University in Indonesia. This study uses SPSS Statistics 24 software to test the hypotheses built in the study. The data obtained were analyzed by means of a comparative test. The results of the analysis of this study indicate that (1) there is no significant difference regarding the role of information communication technology in learning; (2) Inadequate internet connection; (3) low/inadequate power source; (4) Lack of manpower for teaching and administrative development; (5). Ignorance and low level of computer literacy, (6) The high cost of computer information technology equipment; (7) less time and less interest from lecturers in the use of Information Communication Technology facilities.
{"title":"The Role of Information Technology and Communication Technology as Online Learning Media","authors":"Meiryani, Asl Lindawati, Erick Fernando, K. Deniswara, D. Wahyuningtias","doi":"10.1145/3466029.3466051","DOIUrl":"https://doi.org/10.1145/3466029.3466051","url":null,"abstract":"The use of the right learning model greatly affects the success of the learning process between lecturers and students. Learning media can be a vehicle for channeling messages and learning information. Learning media that are well designed will greatly help students digest and understand the course material. IT-based learning media can be in the form of internet, intranet, mobile phone, and CD Room. Its main components include the learning management system (LMS) and learning content (LC). Learning in higher education will always change according to the characteristics of students, learning materials and the ever-evolving environment. This study aims to examine the role of information communication technology in learning. The research method in this research is a quantitative method with a survey method, distributing online questionnaires to information systems lecturers at Bina Nusantara University in Indonesia. This study uses SPSS Statistics 24 software to test the hypotheses built in the study. The data obtained were analyzed by means of a comparative test. The results of the analysis of this study indicate that (1) there is no significant difference regarding the role of information communication technology in learning; (2) Inadequate internet connection; (3) low/inadequate power source; (4) Lack of manpower for teaching and administrative development; (5). Ignorance and low level of computer literacy, (6) The high cost of computer information technology equipment; (7) less time and less interest from lecturers in the use of Information Communication Technology facilities.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91084426","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 best way to distribute dividends has been a puzzle for a long time. Sometimes, when companies have no idea of the dividend distribution, they may select to simply follow the dividend policy of competitive companies. This paper collects the dividend data from companies listed in SHENZHEN stock exchange during the year of 2009-2018, and exams whether the dividends of later distribution company will be affected by the the dividends of former distribution company. The empirical results show that the dividends of company that distributed earlier has a significant positive effect on the dividends of company that distributed later, which means there is a contrast effect of dividend distribution between companies in the same industry. This result can enrich the current researches on the dividend policy and has certain significance for investors and companies.
{"title":"A Study on the Contrastive Effect of Dividend Distribution of Listed Companies","authors":"Cuifeng Wu, Wenjie Huang","doi":"10.1145/3466029.3466054","DOIUrl":"https://doi.org/10.1145/3466029.3466054","url":null,"abstract":"The best way to distribute dividends has been a puzzle for a long time. Sometimes, when companies have no idea of the dividend distribution, they may select to simply follow the dividend policy of competitive companies. This paper collects the dividend data from companies listed in SHENZHEN stock exchange during the year of 2009-2018, and exams whether the dividends of later distribution company will be affected by the the dividends of former distribution company. The empirical results show that the dividends of company that distributed earlier has a significant positive effect on the dividends of company that distributed later, which means there is a contrast effect of dividend distribution between companies in the same industry. This result can enrich the current researches on the dividend policy and has certain significance for investors and companies.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86319403","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 purpose of this study is to find essential determinants in determining the capital structure. In order to find and compare the capital structure of developing countries in China and developed countries, this paper selected 730 listed companies for analysis through Shanghai A-Share and FTSE. From 2002 to 2014, the entire period selected for this study was 13 years, including a crucial period of the financial crisis that erupted in 2008. Since the data is a combination of time series and cross-section, this paper analyzes the panel data by establishing a regression model to find the determinants that influence the capital structure. The dependent variable is leverage, and the independent variables are tangibility, profitability, size, growth opportunities, non-debt tax shield, liquidity. The results of the regression show that both Chinese and British profitability, growth opportunities and liquidity have a negative correlation, and tangibility may have a positive impact on the total debt before the crisis. By comparing the results of each period, we can find that in the financial crisis, the profitability, growth opportunities and non- debt tax shield of the two countries were affected, and they changed from significant to nothing in the capital structure. At the same time, the study clearly shows that liquidity has become an essential variable in capital structure during these selected time periods.
{"title":"Determinants of Capital Structure: Evidence from China & UK Company Panel Data","authors":"Jie Lin","doi":"10.1145/3466029.3466044","DOIUrl":"https://doi.org/10.1145/3466029.3466044","url":null,"abstract":"The purpose of this study is to find essential determinants in determining the capital structure. In order to find and compare the capital structure of developing countries in China and developed countries, this paper selected 730 listed companies for analysis through Shanghai A-Share and FTSE. From 2002 to 2014, the entire period selected for this study was 13 years, including a crucial period of the financial crisis that erupted in 2008. Since the data is a combination of time series and cross-section, this paper analyzes the panel data by establishing a regression model to find the determinants that influence the capital structure. The dependent variable is leverage, and the independent variables are tangibility, profitability, size, growth opportunities, non-debt tax shield, liquidity. The results of the regression show that both Chinese and British profitability, growth opportunities and liquidity have a negative correlation, and tangibility may have a positive impact on the total debt before the crisis. By comparing the results of each period, we can find that in the financial crisis, the profitability, growth opportunities and non- debt tax shield of the two countries were affected, and they changed from significant to nothing in the capital structure. At the same time, the study clearly shows that liquidity has become an essential variable in capital structure during these selected time periods.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77193937","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}
P. Netinant, Siwaphat Boonbangyang, Meennapa Rukhiran
In the digital age, a transformation of a traditional business to an electronic organization becomes widely general. One of the resolutions is an adopted information technology to design and develop software supporting the whole process of organizations. End users enable to access and use digital services anywhere and anytime. Covid-19 has directed us to face a dramatic death of human life. Social distancing is an announcement of avoiding and touching unknown people, including colleagues, lecturers, and students. In this article, we aim to propose the design and development of a digitally signed document system. The system can handle documents of university processes to advance online forms significantly. By providing the digitally signed document system, a documented strategy can integrate users (e.g., general employees, executives, directors, and lecturers) to send electronic documents with proportional high security. The digital signature of user identification can perform via user identification and verification protocols in many methods. The design and development of software models are approached using rapid application development (RAD). RAD is the most compatible with project factors. The software functionaries of the digitally signed document system are decomposed into components for improving software quality. The interface components deliver indicators of a friendly environment of green information technology as well.
{"title":"Design and Development Multi-Verification Protocols of A Digital Signed Document System Using Component-Based Architecture","authors":"P. Netinant, Siwaphat Boonbangyang, Meennapa Rukhiran","doi":"10.1145/3466029.3466039","DOIUrl":"https://doi.org/10.1145/3466029.3466039","url":null,"abstract":"In the digital age, a transformation of a traditional business to an electronic organization becomes widely general. One of the resolutions is an adopted information technology to design and develop software supporting the whole process of organizations. End users enable to access and use digital services anywhere and anytime. Covid-19 has directed us to face a dramatic death of human life. Social distancing is an announcement of avoiding and touching unknown people, including colleagues, lecturers, and students. In this article, we aim to propose the design and development of a digitally signed document system. The system can handle documents of university processes to advance online forms significantly. By providing the digitally signed document system, a documented strategy can integrate users (e.g., general employees, executives, directors, and lecturers) to send electronic documents with proportional high security. The digital signature of user identification can perform via user identification and verification protocols in many methods. The design and development of software models are approached using rapid application development (RAD). RAD is the most compatible with project factors. The software functionaries of the digitally signed document system are decomposed into components for improving software quality. The interface components deliver indicators of a friendly environment of green information technology as well.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83884896","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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