Proceedings of the 2022 International Conference on E-business and Mobile Commerce最新文献

A Review of Revealed Comparative Advantage and the Measurement Tools 显性比较优势及其测量工具研究综述

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543128

Huiai Yuan, Lihong Zhao

引用次数: 0

Challenges of the Accounting Profession in the Era of the Industrial Revolution 4.0 工业革命4.0时代会计职业的挑战

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543113

Meiryani Meiryani, Kanaya Regina Aprilia, D. Warganegara, Y. Yanti

{"title":"Challenges of the Accounting Profession in the Era of the Industrial Revolution 4.0","authors":"Meiryani Meiryani, Kanaya Regina Aprilia, D. Warganegara, Y. Yanti","doi":"10.1145/3543106.3543113","DOIUrl":"https://doi.org/10.1145/3543106.3543113","url":null,"abstract":"In the current industrial era, namely 4.0, it greatly facilitates the industrial world and human work and brings changes in human work adjustments. Where there are many changes in human life, for example in communication and data processing, both for individuals and for companies [1]. The characteristic of the industrial revolution 4.0 is the emergence of many applied technologies, such as the internet of things, cloud computing, Big Data, and artificial intelligence which as a whole can change business models and production patterns, especially in various industrial sectors [4]. In the current era of the industrial revolution, it is a challenge that is not easy and difficult for accountants as there is a lot of information technology present because financial transactions do not only use cash, but also use digital money [1]. The research objectives in this paper are to determine the role of accountants in the era of the industrial revolution 4.0 and to find out how accountants challenge the industrial revolution 4.0. The data in this study were obtained from library sources such as collecting journals, websites, and related party documents, and sources from other media that can support the completeness of research data so that this research can run correctly and according to reality.","PeriodicalId":150494,"journal":{"name":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123507849","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}

引用次数: 3

Influence of LPG retail branding on household customer preference in Luzon, the Philippines using Conjoint Analysis 液化石油气零售品牌对菲律宾吕宋岛家庭消费者偏好的影响

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543133

Joshua Grenel L. Armea, Y. Prasetyo, Reny Nadlifatin, S. F. Persada, Thanatorn Chuenyindee

引用次数: 0

Analyzing the Rate of Increase in Vaccines Administrated Versus Twitter Sentiment Analysis 分析接种疫苗的增长率与推特情绪分析

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543119

Yuhao Xie, Tengjiang Wang, Hexuan Zhang, Tianyuan Yan

引用次数: 0

Analysis of Perceived Risk, Perceived Trust, Perceived Security Factors on Consumer Intention using E-Payment 感知风险、感知信任、感知安全因素对消费者电子支付意愿的影响分析

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543109

B. Handoko, Given Name Siswono, Julyanka Mustika Azani

{"title":"Analysis of Perceived Risk, Perceived Trust, Perceived Security Factors on Consumer Intention using E-Payment","authors":"B. Handoko, Given Name Siswono, Julyanka Mustika Azani","doi":"10.1145/3543106.3543109","DOIUrl":"https://doi.org/10.1145/3543106.3543109","url":null,"abstract":"E-payment is part of an accounting information system that requires a large investment. The key factor for the success of e-payments is understanding and satisfying customer needs and expectations. In order to increase the adoption rate of e-payments or users' intention to use e-payments, the factors that influence consumer adoption must be better managed. Reports show that some users, despite having physical access, are reluctant to use the technology. It is suspected that there are factors that influence the use of e-payments, namely perceived risk, perceived trust and perceived security. This study aims to investigate whether there is an effect of perceived risk, perceived trust and perceived security on consumer intention to use e-payment in Jakarta Greater Area (Jabodetabek). This study uses a quantitative method involving 109 e-payment users in Jabodetabek with an age range of 17-40 years. The data analysis technique used descriptive analysis, classical assumption test and multiple linear regression analysis. Based on the results obtained using SPSS, all factors of perceived risk, perceived trust and perceived security have a significant influence on consumer intention to use e-payments in Jabodetabek.","PeriodicalId":150494,"journal":{"name":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537494","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}

引用次数: 0

Influence of Perceived Usefulness, Perceived Ease of Use, Cost Effectiveness, and Interactivity on Attitude towards Digital Collaboration Platforms Binus Mobile Application 感知有用性、感知易用性、成本效益和交互性对数字协作平台态度的影响

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543117

B. Handoko, Tanty Oktavia, Niken Pratiwi

引用次数: 0

Research on Key Technologies of Real Scene 3D Cloud Service Platform for Digital Twin Cities 数字双城实景三维云服务平台关键技术研究

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543116

Tiejun Pan, Leina Zheng, Ren Zhu

引用次数: 0

Credit Risk Evaluation Model of Small-Micro Enterprises for Rural Commercial Bank Based on XGBoost and Random Forest 基于XGBoost和随机森林的农村商业银行小微企业信用风险评价模型

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543127

Fajia Fang

{"title":"Credit Risk Evaluation Model of Small-Micro Enterprises for Rural Commercial Bank Based on XGBoost and Random Forest","authors":"Fajia Fang","doi":"10.1145/3543106.3543127","DOIUrl":"https://doi.org/10.1145/3543106.3543127","url":null,"abstract":"As an important pillar of the real economy, small-micro enterprises are facing many difficulties in operation under the dual impact of the global economic downturn and the COVID-19 epidemic. And they are in urgent need of external financing to tide over the difficulties. The purpose of rural commercial bank is to serve small and medium-sized enterprises and agriculture, rural areas and farmers. Therefore, the financing of rural commercial bank is crucial for the development of small-micro enterprises. However, due to unstable development mode, imperfect management mechanism and other reasons, small-micro enterprises usually have high credit risk, which brings great challenges to the loan risk control of rural commercial bank. Effective evaluation of credit risk of small-micro enterprises is the basis of rural commercial bank's loan decision-making and an important issue concerned by theory and practice. This paper studies the credit risk evaluation model of rural commercial bank for small-micro enterprises. Firstly, a set of credit risk evaluation indicator system combining financial and behavioral indicators is constructed, which expands the disadvantages of traditional research that only considers financial indicators is too one-sided. Secondly, XGBoost model is used to screen indicators and build a credit risk evaluation model of small-micro enterprises based on improved random forest. Finally, the effectiveness of the model is verified by comparing with other traditional models, and the experiment proves that the introduction of behavioral indicators can significantly improve the effectiveness of the model.","PeriodicalId":150494,"journal":{"name":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133248969","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}

引用次数: 1

Extract Aspect-based Financial Opinion Using Natural Language Inference 使用自然语言推理提取基于方面的财务意见

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543120

Raymond So, Chun Fai Carlin Chu, Cheuk Wing Jessie Lee

{"title":"Extract Aspect-based Financial Opinion Using Natural Language Inference","authors":"Raymond So, Chun Fai Carlin Chu, Cheuk Wing Jessie Lee","doi":"10.1145/3543106.3543120","DOIUrl":"https://doi.org/10.1145/3543106.3543120","url":null,"abstract":"The emergence of transformer-based pre-trained language models (PTLMs) has bought new and improved techniques to natural language processing (NLP). Traditional rule-based NLP, for instance, is known for its deficiency of creating context-aware representations of words and sentences. Natural language inference (NLI) addresses this deficiency by using PTLMs to create context-sensitive embedding for contextual reasoning. This paper outlines a system design that uses traditional rule-based NLP and deep learning to extract aspect-based financial opinion from financial commentaries written using colloquial Cantonese, a dialect of the Chinese language used in Hong Kong. We need to confront the issue that existing off-the-shelf PTLMs, such as BERT and Roberta, are not pre-trained to understand the language semantics of colloquial Cantonese, let alone the slang, jargon, and codeword that people in Hong Kong use to articulate opinions. As a result, we approached the opinion extraction problem differently from the mainstream approaches, which use model-based named entity recognition (NER) to detect and extract opinion aspects as named entities and named entity relations. Because there is no PTLM for our specific language and problem domain, we solve the opinion extraction problem using rule-based NLP and deep learning techniques. We report our experience of creating a lexicon and identifying candidate opinion aspects in the input text using rule-based NLP. We discuss how to improve BERT’s linguistic knowledge of colloquial Cantonese through a fine-tuning procedure. We illustrate how to prepare the input text for contextual reasoning and demonstrate how to use NLI to confirm candidate opinion aspects as extractable.","PeriodicalId":150494,"journal":{"name":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984745","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}

引用次数: 3

Problems and Countermeasures of the E-commerce for the Agricultural Product in the Conditions of the Big Data in China 大数据条件下中国农产品电子商务存在的问题与对策

Proceedings of the 2022 International Conference on E-business and Mobile Commerce Pub Date : 2022-05-13 DOI: 10.1145/3543106.3543107

Zhihong Li, Ding-bang Wu

引用次数: 1