Proceedings of the 2023 6th International Conference on Computers in Management and Business最新文献_第3页

Optimal Portfolio Model based on LSTM Neural Network and Markovitz Theory 基于LSTM神经网络和Markovitz理论的最优投资组合模型

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584820

Yuzhe Chen, Hongming Zhang

引用次数: 0

Direct Denial or Positive-Negative Rumor Rebuttal? The Effects of Two Types of Rumor Rebuttal and Their Psychological Mechanisms 直接否认还是正面否定谣言反驳?两种类型的谣言反驳效果及其心理机制

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584843

Liuying Chen, Jie Zhou, Zhefei Mao, Qiwei Li

引用次数: 0

Evolutionary Game Analysis of Fresh Food Supply Guarantee in China's Megacities Lockdown Against Covid-19 中国特大城市防控新冠肺炎疫情生鲜食品供应保障的进化博弈分析

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584826

Xueyi Li, Yusen Zhou

{"title":"Evolutionary Game Analysis of Fresh Food Supply Guarantee in China's Megacities Lockdown Against Covid-19","authors":"Xueyi Li, Yusen Zhou","doi":"10.1145/3584816.3584826","DOIUrl":"https://doi.org/10.1145/3584816.3584826","url":null,"abstract":"With the emergence of highly infectious variants of the SARS-CoV-2 virus, Covid-19 inevitably started to spread in Chinese megacities, where the government used to take adequate measures to suppress the increase of Covid-19 cases since 2020. For instance, in the spring of 2022, Shanghai, a megacity with a population of 30 million, was locked down for two months to restrain the outbreak of Covid-19. In the megacities’ long- term lockdown, fresh food supply tends to be crucial, especially when residents cannot store sufficient fresh vegetables without going out for more than a month. In this case, as an emerging business model, the fresh food e-commerce platforms become residents’ primary source of fresh food supply during the lockdown. The operating strategy of the fresh food e-commerce platforms is of great significance for assisting the government in stabling residents’ moods and realizing the dynamic zero policy, which would also be helpful to their penetration. However, the strict quarantine policy of the government reduces the number of delivery riders resulting in soaring prices, which will influence residents’ decisions of whether to bear economic losses of high prices or physical damages due to lack of food. This paper analyzes the strategic choices between the government, fresh food e-commerce platforms, and residents (consumers) through the evolutionary game model, which provides solid suggestions for possible lockdowns in other Chinese megacities against Covid-19.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381164","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

Analysis Factors Influencing Gen Z on Investment Decisions of Cryptocurrency in Indonesia 影响Z世代印尼加密货币投资决策的因素分析

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584822

Aprillia Kresensia Paseru, Chelsea De Valencia, S. Hendratno

{"title":"Analysis Factors Influencing Gen Z on Investment Decisions of Cryptocurrency in Indonesia","authors":"Aprillia Kresensia Paseru, Chelsea De Valencia, S. Hendratno","doi":"10.1145/3584816.3584822","DOIUrl":"https://doi.org/10.1145/3584816.3584822","url":null,"abstract":"This research aims to discover the factors influencing Gen Z on investment decisions of cryptocurrency in Indonesia. Nowadays, cryptocurrency has become famous as most of Indonesian citizens interested to invest in cryptocurrency. Despite the fact that cryptocurrency fluctuates riskier than other instruments, many people still decide to invest in cryptocurrency, including Gen Z. The method used for this research is qualitative with semi-structured interviews conducted to collect data. Semi-structured interview provides more exploratory and inclusive answers from the respondents to support this research. This research contributes to giving more knowledge and insight particularly about the factors influencing the Gen Z on investment decision in cryptocurrency. The results of this research have shown many factors can influence people to decide investing in cryptocurrency, such as investing in cryptocurrency can generate more profit, 24-hour market, and its fame causing a sense of FOMO (Fear of Missing Out) which are related to the Theory of Behavioral Finance. There are some other factors such as community with other investors, influencers in social media, and people around. Those factors are related to the Herding Theory where people are likely to follow other investors’ analysis rather than doing their own research and analysis. These findings propose that investors, especially Gen Z, should improve their self-control as well as investment analysis to decide their investments in cryptocurrency. Further research can explore other factors that may be influential by using quantitative method and by giving out questionnaires to reach out more respondents outside Jabodetabek or even outside Indonesia.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128296315","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

Fluctuation Trend Prediction and Investment Allocation Optimization of Risk Assets and Safe-haven Assets 风险资产与避险资产波动趋势预测与投资配置优化

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584817

Yeyong Zhang, Yusen Liu, Zih-Yuan Zeng

{"title":"Fluctuation Trend Prediction and Investment Allocation Optimization of Risk Assets and Safe-haven Assets","authors":"Yeyong Zhang, Yusen Liu, Zih-Yuan Zeng","doi":"10.1145/3584816.3584817","DOIUrl":"https://doi.org/10.1145/3584816.3584817","url":null,"abstract":"Safe-haven assets are a safe and effective value storage and risk hedging tool in the period of market turbulence, while risk assets show multiple characteristics such as the coexistence of high risk and high return, great variability, strong volatility and so on. Taking gold and bitcoin, two typical safe-haven and risk assets, as examples, this paper constructs the ARIMA-XGBoost joint prediction model and predicts the future fluctuation trend of gold and bitcoin; At the same time, the prediction results are used to optimize the parameter allocation of the mean variance model, and the effective frontier of the portfolio is calculated under different constraints. The results show that the RMSE of ARIMA-Xgboost model is 5.3 and 83.6 respectively, and the MAPE is 0.35% and 0.80% respectively; The efficient allocation frontier of the portfolio is its Pareto optimal solution, and when the allocation proportion of a single asset is limited, the overall yield of the portfolio is significantly reduced, but it is better than the result of equal weight allocation; ARIMA-Xgboost model has high prediction accuracy, good stability and strong self-learning and self-adaptive ability, which can provide a certain reference for investors or salespeople to make investment decisions.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126035203","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

Determining the Significance of Two Consecutive Fiscal Years of Non-Conformance Cost Data Set in Project Execution of Smart Grid 确定智能电网项目执行中连续两个会计年度不合格成本数据集的意义

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584836

Miller F. Narvas, Y. Prasetyo, Reny Nadlifatin, Irene Dyah Ayuwati, S. F. Persada

引用次数: 0

The Success Factors on Tax Technology Transformation: Assessment of Personality Traits and Digital Maturity among Indonesian Tax Consultants 税务技术转型的成功因素:印尼税务顾问人格特质与数字成熟度评估

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584819

Amanda Benedicta Nursalim, Jocelyn Novita, Levana Dhia Prawati

引用次数: 0