B. Handoko, Nicholas Reinaldy, Septi Wifasari, Hugo Prasetyo, Triana Meinarsih
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.
{"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}
This research's objective is to describe the sustainable activities of a particular motorcycle club (TP) by delivering reciprocal humor and showing nice friendship on social media from a business perspective, especially from a business psychology perspective. The research used a qualitative method by observations in seven periods for seven tour opportunities. Their high amount of interactive communication has led them into the most popular motorcycle group (recognized by the high number of views, like expressions, and positive comments on the YouTube channel and Instagram) which has also led it to a higher economic value. Their particular cohesiveness and engagement were transmitted and deployed in their internal communications in the videos that influence the netizens and the business world positively through their reciprocal humor and nice friendship.
{"title":"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)","authors":"M. Pane, Christian Siregar, H. Sriyanto","doi":"10.1145/3584816.3584839","DOIUrl":"https://doi.org/10.1145/3584816.3584839","url":null,"abstract":"This research's objective is to describe the sustainable activities of a particular motorcycle club (TP) by delivering reciprocal humor and showing nice friendship on social media from a business perspective, especially from a business psychology perspective. The research used a qualitative method by observations in seven periods for seven tour opportunities. Their high amount of interactive communication has led them into the most popular motorcycle group (recognized by the high number of views, like expressions, and positive comments on the YouTube channel and Instagram) which has also led it to a higher economic value. Their particular cohesiveness and engagement were transmitted and deployed in their internal communications in the videos that influence the netizens and the business world positively through their reciprocal humor and nice friendship.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"21 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":"121879550","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 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.
{"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}
Dhafin K Ma'Mun, Rieska Aprillia, Riko Riko, L. Wijaya
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.
{"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}
This study investigates the association between the Chinese stock market returns and the COVID-19 pandemic. The empirical results reveal that the COVID-19 pandemic negatively impacts stock market returns. We report our findings first by investigating the stock market returns from the firms in the stock connect program (traded by foreign investors) compared to the domestic stock market. Second, the evidence shows that the firms from high-tech companies have a low negative impact on the stock market returns during the COVID-19 pandemic relative to that of low-tech companies. However, the empirical results demonstrate that strengthened short stock market returns activity is associated with stock price volatility during the COVID-19 pandemic.
{"title":"The Impact of the COVID-19 Pandemic on the Stock Market Returns: Evidence from the Chinese Stock Market","authors":"Mwanaidi Mgalla","doi":"10.1145/3584816.3584824","DOIUrl":"https://doi.org/10.1145/3584816.3584824","url":null,"abstract":"This study investigates the association between the Chinese stock market returns and the COVID-19 pandemic. The empirical results reveal that the COVID-19 pandemic negatively impacts stock market returns. We report our findings first by investigating the stock market returns from the firms in the stock connect program (traded by foreign investors) compared to the domestic stock market. Second, the evidence shows that the firms from high-tech companies have a low negative impact on the stock market returns during the COVID-19 pandemic relative to that of low-tech companies. However, the empirical results demonstrate that strengthened short stock market returns activity is associated with stock price volatility during the COVID-19 pandemic.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"7 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":"132325820","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}
Deceptive communication is ubiquitous within organizations with low detection accuracy. Deceptive communication might be harmless but some of them could cause malevolent consequences. Thus, detecting and preventing deceptive communication is an essential part of organizations. This paper first gives a definition of deceptive communication, then conducts a conceptual framework based on previous studies in related areas which offered practical methods that help to detect and prevent deceptive communication within organizations. The dispute between Tencent Holdings and Lao Gan Ma Chili Sauce company is then analyzed according to the framework. The dispute was a fraud that cost Tencent Holdings millions of dollars as a consequence of deceptive communication. The findings from the literature review and case studies will be presented in the conclusion, as well as the limitations of this paper.
{"title":"Who Is Telling the Truth? Deceptive Communications in Organizations and How to Prevent It","authors":"Y. Ou, Lingyan Chen, Ni Yan, Yi Chen","doi":"10.1145/3584816.3584835","DOIUrl":"https://doi.org/10.1145/3584816.3584835","url":null,"abstract":"Deceptive communication is ubiquitous within organizations with low detection accuracy. Deceptive communication might be harmless but some of them could cause malevolent consequences. Thus, detecting and preventing deceptive communication is an essential part of organizations. This paper first gives a definition of deceptive communication, then conducts a conceptual framework based on previous studies in related areas which offered practical methods that help to detect and prevent deceptive communication within organizations. The dispute between Tencent Holdings and Lao Gan Ma Chili Sauce company is then analyzed according to the framework. The dispute was a fraud that cost Tencent Holdings millions of dollars as a consequence of deceptive communication. The findings from the literature review and case studies will be presented in the conclusion, as well as the limitations of this paper.","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":"130104331","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}
Azzelarab Zaoudi, Jihane Aayale, A. Anajar, Yasmina Mabrouk
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.
本文的目的是提出一个基于生产力指标的集装箱港口动态容量评价模型。另一方面，本文试图探讨停留时间因素对集装箱港口吞吐量的影响。计算方法参考卡尔。Thoresen, Kap Kim et g nter, Rademaker, Ligteringen。贸发会议和卡尔马等不同的国际组织和项目对这些方法进行了测试、应用和验证。港口和集装箱码头是多式联运系统的重要环节，集装箱运输的运行也在不断变化。目前，生产力和能力分析的研究备受关注。专家、管理人员、学者和所有港口社区都需要对活动进行评估，以便做出更好的决策，特别是那些与投资和经济有关的决策。确定影响集装箱港口经济决策因素的研究，与其能力和投资有关的研究很少。本研究试图通过建立一个模型来填补这一空白，该模型可以更好地分析集装箱港口的生产力，特别是研究停留时间如何提高港口的动态容量。结果表明，码头运力与停留时间因子呈负相关关系，而总吊生产率与码头运力呈正相关关系。生产力因素提高了港口/码头的容量。停留时间因素是影响码头生产力和吞吐量的重要因素。通过这种分析，这些因素的相互联系是一个关键特征。在整个研究过程中估计了各种指标。
{"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}
Anyuan Zhong, Ruiyu Qiu, Xiangxian Zhang, Shaojie Lv, Linxiao Song
Understanding job requirements is essential for establishing and optimizing employability-oriented education programs. Most relevant research focus on clarifying the skill requirement of an occupational field. In this research, we argue that job tasks serve as a bridge between a job and the required skills, and we provide a method for investigating the job-task-skill pattern of job requirements using text mining on publicly available job advertisements. To provide this, we: 1) collect data on thousands of job advertisements through web crawling and scraping; 2) categorize the jobs through title analysis; 3) identify the topic of both tasks and skills through word co-occurrence network clustering; and 4) systematically analyze the characteristics and internal relationships between job roles, tasks, and the required skills. A test case was conducted in the context of China's big data sector, and the findings show that the proposed strategy is viable, practical, and instructive.
{"title":"Characterizing the Job-task-skill Pattern of Job Requirements with Job Advertisement Mining","authors":"Anyuan Zhong, Ruiyu Qiu, Xiangxian Zhang, Shaojie Lv, Linxiao Song","doi":"10.1145/3584816.3584838","DOIUrl":"https://doi.org/10.1145/3584816.3584838","url":null,"abstract":"Understanding job requirements is essential for establishing and optimizing employability-oriented education programs. Most relevant research focus on clarifying the skill requirement of an occupational field. In this research, we argue that job tasks serve as a bridge between a job and the required skills, and we provide a method for investigating the job-task-skill pattern of job requirements using text mining on publicly available job advertisements. To provide this, we: 1) collect data on thousands of job advertisements through web crawling and scraping; 2) categorize the jobs through title analysis; 3) identify the topic of both tasks and skills through word co-occurrence network clustering; and 4) systematically analyze the characteristics and internal relationships between job roles, tasks, and the required skills. A test case was conducted in the context of China's big data sector, and the findings show that the proposed strategy is viable, practical, and instructive.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"41 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":"115853352","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}
More and more companies have realized the potential value behind big data resources. Taking Caesars Entertainment as an example, this study articulates how the company successfully took big data as the basis to drive its business model innovation. Primarily using its Total Rewards program to collect data from various sources, especially customer data, Caesars Entertainment has restructured four dimensions of its business model- the customer value proposition, the profit formula, key resources, and key processes to deliver the value proposition profitably. The new big data-driven business model based on created new ways to deliver personalized enhancements to each guest's experience, and further gained competitive advantage in the integrated resort industry. This study enriches the strategic management literature by showing that building a business model based on big data can create new competitive advantages for companies. In practice, managers should attach more importance to the value of big data in the sustainable development of enterprises in the era of the data-driven economy.
{"title":"Big Data-Driven Business Model Innovation in the Integrated Resort Industry: A Case Study","authors":"Chunli Ji","doi":"10.1145/3584816.3584828","DOIUrl":"https://doi.org/10.1145/3584816.3584828","url":null,"abstract":"More and more companies have realized the potential value behind big data resources. Taking Caesars Entertainment as an example, this study articulates how the company successfully took big data as the basis to drive its business model innovation. Primarily using its Total Rewards program to collect data from various sources, especially customer data, Caesars Entertainment has restructured four dimensions of its business model- the customer value proposition, the profit formula, key resources, and key processes to deliver the value proposition profitably. The new big data-driven business model based on created new ways to deliver personalized enhancements to each guest's experience, and further gained competitive advantage in the integrated resort industry. This study enriches the strategic management literature by showing that building a business model based on big data can create new competitive advantages for companies. In practice, managers should attach more importance to the value of big data in the sustainable development of enterprises in the era of the data-driven economy.","PeriodicalId":113982,"journal":{"name":"Proceedings of the 2023 6th International Conference on Computers in Management and Business","volume":"21 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":"121652171","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}
Tobechi Obinwanne, Chibuzor Udokwu, Robert Zimmermann, P. Brandtner
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.
{"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}
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