Proceedings of the 2023 6th International Conference on Computers in Management and Business最新文献_第2页

Impact of Data Mining, Big Data Analytics and Data Visualization on Audit Quality 数据挖掘、大数据分析和数据可视化对审计质量的影响

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584831

B. Handoko, Nicholas Reinaldy, Septi Wifasari, Hugo Prasetyo, Triana Meinarsih

{"title":"Impact of Data Mining, Big Data Analytics and Data Visualization on Audit Quality","authors":"B. Handoko, Nicholas Reinaldy, Septi Wifasari, Hugo Prasetyo, Triana Meinarsih","doi":"10.1145/3584816.3584831","DOIUrl":"https://doi.org/10.1145/3584816.3584831","url":null,"abstract":"The existence of various financial statement scandals has made users of financial statements doubt the quality of the audit and demand auditor to provide an audit with better audit quality. Currently, the level of difficulty to meet these demands is becoming higher as the client's business becomes more complex. Information and data provided by clients are also increasingly diverse, including various kinds of electronic information and data. Thus, currently auditors must use a data-driven approach. Therefore, based on this phenomenon, we as researchers want to examine the effect of data processing technology on audit quality. We gathered primary data from external auditors through questionnaire to obtain empirical data that can verify our research model. As the results, we found that data mining and data visualization significantly affect big data analytics. While data mining, big data analytics, and data visualization do not significantly affect audit quality. These results are based on our sample which is external auditors in Indonesia. This research can be used as a reference for further study development. Future researchers can also conduct the same research in developed country.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"44 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":"130056055","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

The High Economic Value for Videos in a YouTube Channel by Communication using Digital social media (Case Study: Successful Videos about A Particular Motorcycle Group in a YouTube Channel) 利用数字社交媒体传播YouTube频道中视频的高经济价值(案例研究:YouTube频道中某摩托车组的成功视频)

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584839

M. Pane, Christian Siregar, H. Sriyanto

引用次数: 0

Planned Behavior and Social Cognitive in Predicting E-Business Intention to Adopt Eco-design 计划行为与社会认知对电子商务采用生态设计意向的预测

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584827

A. Lindawati, B. Handoko, Mazlina Mustapha

{"title":"Planned Behavior and Social Cognitive in Predicting E-Business Intention to Adopt Eco-design","authors":"A. Lindawati, B. Handoko, Mazlina Mustapha","doi":"10.1145/3584816.3584827","DOIUrl":"https://doi.org/10.1145/3584816.3584827","url":null,"abstract":"The COVID-19 pandemic has hit the economy. Countries have taken off to emerge from these conditions. In Indonesia, the economic revival was driven by the development of the e-business sector. However, can these new emerging e-business survive to compete with existing big companies? E-business must have a competitive advantage, and one of them is through innovation based on eco-design. Our study examines the factors which influence e-business intention to adopt eco-design. These factors are based on the theoretical approach of planned behavior and social cognitive theory. Our research is a quantitative study using structural equation modeling partial least squares. We use a questionnaire to gather primary data. We choose e-business entrepreneurs as respondents and processing data using SMART PLS 3 software. We share questionnaires to 200 small medium e-business practitioner. Our results found that attitude and self-efficacy had a significant effect on e-business intention to adopt eco-design, while subjective norm and perceived behavior control each has no significant effect.","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":"123898322","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

Antecedents of the Online Shopping Behavior during the Covid-19 Pandemic 新冠肺炎疫情期间网上购物行为的前因后果

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584844

Dhafin K Ma'Mun, Rieska Aprillia, Riko Riko, L. Wijaya

{"title":"Antecedents of the Online Shopping Behavior during the Covid-19 Pandemic","authors":"Dhafin K Ma'Mun, Rieska Aprillia, Riko Riko, L. Wijaya","doi":"10.1145/3584816.3584844","DOIUrl":"https://doi.org/10.1145/3584816.3584844","url":null,"abstract":"Online shopping activities during the Covid-19 pandemic have increased and become a growing trend among Indonesian consumers. This study aims to determine the relationship between subjective norms, perceived usefulness, and online shopping behavior mediated by purchase intention. The research method was carried out by distributing online questionnaires through social media platforms to obtain feedback from the targeted group between the ages of 17-45 years old and who live in the Jabodetabek areas. The data was collected from a survey of 369 online shopping application users. The data were obtained and analyzed using SEM SmartPLS. The results of this study concluded that the subjective norms variable has a significant positive effect on consumer purchase intention. It appeared that subjective norms have no effect on online shopping behavior. Perceived usefulness and purchase intention have a significant and positive effect on online shopping behavior. For the indirect effect, purchase intention has a mediation effect on the relationship between perceived usefulness and subjective norms toward online shopping behavior Overall, perceived usefulness has the greatest effect on purchase intention. This study contributes to combining the Theory of Reasoned Action (TRA) and the Technology Acceptance Model (TAM) to predict online shopping behavior during the pandemic COVID-19.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"52 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":"134289467","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

The Impact of the COVID-19 Pandemic on the Stock Market Returns: Evidence from the Chinese Stock Market 新冠肺炎疫情对股市收益的影响:来自中国股市的证据

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584824

Mwanaidi Mgalla

引用次数: 0

Who Is Telling the Truth? Deceptive Communications in Organizations and How to Prevent It 谁在说真话?组织中的欺骗性通信及其预防方法

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584835

Y. Ou, Lingyan Chen, Ni Yan, Yi Chen

引用次数: 0

Empirical Study on Productivity Indicators and the Impact of the Dwell Time Factor on the Capacity of Container Ports 集装箱港口生产力指标及停留时间因素对港口吞吐量影响的实证研究

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584832

Azzelarab Zaoudi, Jihane Aayale, A. Anajar, Yasmina Mabrouk

{"title":"Empirical Study on Productivity Indicators and the Impact of the Dwell Time Factor on the Capacity of Container Ports","authors":"Azzelarab Zaoudi, Jihane Aayale, A. Anajar, Yasmina Mabrouk","doi":"10.1145/3584816.3584832","DOIUrl":"https://doi.org/10.1145/3584816.3584832","url":null,"abstract":"The purpose of this paper is to propose a model to evaluate the dynamic capacity of the container port based on productivity indicators. From another hand, this paper seeks to explore the impact of dwell-time factor on the capacity of container port. The methods of calculation are referenced to Carl. Thoresen, Kap Kim et Gûnter, Rademaker, Ligteringen. The methods were tested, applied and validated by different international organization and projects such as UNCTAD and KALMAR. Ports and container terminals are a vital link in the intermodal transport system, container shipping runs on constant change. In nowadays, studies on productivity and capacity analysis are of a major concern. Experts, managers, academics, and all the port community require work on activity assessment in order to take better decisions especially those of investment and economic concern. Studies that identify factors that influence on economic decision making of container ports, those related to its capacity and investments are few. This research attempts to fill this gap by establishing a model that allows to better analyze the productivity of container ports and in particular to look at on how dwell-time can improve the dynamic capacity of the port. The results confirm the negative relationship between capacity and dwell time factor and the positive relationship between gross crane productivity and quay capacity. Productivity factors improve the capacity of the port/terminals. The dwell time factor is a crucial factor that hugely effect on the terminal productivity and its capacity. The interconnectedness of the factors is a key feature through this analysis. Various indicators have been estimated throughout this research.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"148 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":"131929815","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

Characterizing the Job-task-skill Pattern of Job Requirements with Job Advertisement Mining 用招聘广告挖掘表征职位需求的工作-任务-技能模式

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584838

Anyuan Zhong, Ruiyu Qiu, Xiangxian Zhang, Shaojie Lv, Linxiao Song

引用次数: 0

Big Data-Driven Business Model Innovation in the Integrated Resort Industry: A Case Study 大数据驱动的综合度假产业商业模式创新:案例研究

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584828

Chunli Ji

引用次数: 0

Data Preprocessing in Supply Chain Management Analytics - A Review of Methods, the Operations They Fulfill, and the Tasks They Accomplish.: Data Preprocessing in Supply Chain Management Analytics. 供应链管理分析中的数据预处理-方法回顾，它们完成的操作，以及它们完成的任务。供应链管理分析中的数据预处理。

Proceedings of the 2023 6th International Conference on Computers in Management and Business Pub Date : 2023-01-13 DOI: 10.1145/3584816.3584830

Tobechi Obinwanne, Chibuzor Udokwu, Robert Zimmermann, P. Brandtner

{"title":"Data Preprocessing in Supply Chain Management Analytics - A Review of Methods, the Operations They Fulfill, and the Tasks They Accomplish.: Data Preprocessing in Supply Chain Management Analytics.","authors":"Tobechi Obinwanne, Chibuzor Udokwu, Robert Zimmermann, P. Brandtner","doi":"10.1145/3584816.3584830","DOIUrl":"https://doi.org/10.1145/3584816.3584830","url":null,"abstract":"Data preprocessing is thought of as one of the most important steps in data analytics. This is especially true for the field of Supply Chain Management (SCM), in which the handling of huge data sets is the norm. Data preprocessing consists of multiple tasks, operations, and methods. Thus, this research focusses on identifying the specific data preprocessing tasks in SCM analytics, the operations used to solve them, and the methods used to meet the goals of the respective operations. To this end, a literature review, covering literature from 2011 to 2022, was conducted to analyze documented approaches to data preprocessing in SCM. The resulting overview presents the interrelationship between data preprocessing tasks, data preprocessing operations, and data preprocessing methods in SCM analytics. Results indicate that data transformation seems to be a commonly investigated task in SCM related data preprocessing, while data integration represents an area requiring further research. Furthermore, Principal Component Analysis (PCA), was found to be the most common method across the single tasks of data preprocessing, further highlighting the importance of transforming data by manipulating the features into a form such that when analytics algorithms are applied, they will give optimal results. This research hence presents researchers and practitioners a point of reference to identify the specific data preprocessing method used for specific data preprocessing operations in order to fulfill a specific data preprocessing task.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"17 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":"122115861","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