Robo-Advisors (RAs) offer personalized and automated advice through algorithms becoming popular in developed countries. This paper develops from the current debate on the use of RAs where the risks of providing our financial information to third parties and their ability to facilitate the entry of new novice investors, decreasing financial exclusion, are considered. On this topic, studies have been conducted on RAs analyzing how they affect traditional capital markets and the development of new investors. This research performs a descriptive analysis of how RAs are entering Latin American financial markets and the challenges faced by these tools. Financial education has been a constant problem in the region, limiting stock market participation. The legal and regulatory framework is unclear and does not contemplate the growing use of RAs; these limitations and others have hindered the insertion of RAs in the Latin American market.
{"title":"Robo-Advisors: A perspective on the Latin American context","authors":"Silvia Mariela Méndez Prado, Sandy Liliana Quishpillo Pilco, Wellington Saud Espin Parrales","doi":"10.1145/3537693.3537701","DOIUrl":"https://doi.org/10.1145/3537693.3537701","url":null,"abstract":"Robo-Advisors (RAs) offer personalized and automated advice through algorithms becoming popular in developed countries. This paper develops from the current debate on the use of RAs where the risks of providing our financial information to third parties and their ability to facilitate the entry of new novice investors, decreasing financial exclusion, are considered. On this topic, studies have been conducted on RAs analyzing how they affect traditional capital markets and the development of new investors. This research performs a descriptive analysis of how RAs are entering Latin American financial markets and the challenges faced by these tools. Financial education has been a constant problem in the region, limiting stock market participation. The legal and regulatory framework is unclear and does not contemplate the growing use of RAs; these limitations and others have hindered the insertion of RAs in the Latin American market.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"158 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81728723","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}
Ziba Yusufi, Simon J. Preis, Daniel Kraus, Udo Kruschwitz, Bernd Ludwig
Quality of data and the assessment of data value have become essential requirements to compete in the knowledge economy. In this work, information needs and data requirements of three different user groups from the semiconductor manufacturing area were determined empirically, based on which a new Data Value Assessment (DVA) process could be designed. Three data collection phases were carried out, in which a total of 24 employees of ams-OSRAM International GmbH took part. First, variables that are relevant for the evaluation of data were identified by focus groups. These results made it possible to develop a basic DVA process. In the second step, the process was tested by means of a survey. Based on 14 data objects from a selected case project, an initial DVA was carried out by the user groups of managers, operational employees and the Data Governance Office. The survey also covered questions about the information behavior of the user groups. With the results of the questionnaire, it was possible to improve the DVA process and to identify roles during the data evaluation. The DVA process has been assessed against practical applications based on feedback from key stakeholders and the findings provide a clear roadmap for future directions.
数据质量和数据价值评估已成为知识经济时代竞争的基本要求。在此基础上，对半导体制造领域三种不同用户群体的信息需求和数据需求进行了实证分析，并在此基础上设计了新的数据价值评估(data Value Assessment, DVA)流程。共进行了三个阶段的数据收集，共有24名ams-OSRAM International GmbH的员工参与。首先，焦点小组确定了与数据评估相关的变量。这些结果使开发基本的DVA工艺成为可能。第二步，通过调查的方式对该过程进行检验。基于来自选定案例项目的14个数据对象，由管理人员、业务员工和数据治理办公室组成的用户组执行了初始DVA。调查还涉及了用户群体的信息行为问题。根据调查问卷的结果，可以改进DVA流程，并在数据评估过程中确定角色。根据主要利益相关者的反馈，对DVA过程的实际应用进行了评估，结果为未来的发展方向提供了明确的路线图。
{"title":"Data Value Assessment in Semiconductor Production: An Empirical Study to Define and Quantify the Value of Data","authors":"Ziba Yusufi, Simon J. Preis, Daniel Kraus, Udo Kruschwitz, Bernd Ludwig","doi":"10.1145/3537693.3537725","DOIUrl":"https://doi.org/10.1145/3537693.3537725","url":null,"abstract":"Quality of data and the assessment of data value have become essential requirements to compete in the knowledge economy. In this work, information needs and data requirements of three different user groups from the semiconductor manufacturing area were determined empirically, based on which a new Data Value Assessment (DVA) process could be designed. Three data collection phases were carried out, in which a total of 24 employees of ams-OSRAM International GmbH took part. First, variables that are relevant for the evaluation of data were identified by focus groups. These results made it possible to develop a basic DVA process. In the second step, the process was tested by means of a survey. Based on 14 data objects from a selected case project, an initial DVA was carried out by the user groups of managers, operational employees and the Data Governance Office. The survey also covered questions about the information behavior of the user groups. With the results of the questionnaire, it was possible to improve the DVA process and to identify roles during the data evaluation. The DVA process has been assessed against practical applications based on feedback from key stakeholders and the findings provide a clear roadmap for future directions.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88871796","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}
Green development efficiency evaluation for tourism is an important basis for revealing the quality of regional tourism development in China. Based on the measurement of China's regional tourism carbon emissions and energy consumption from 2010 to 2019, this paper comprehensively uses the slack based model (SBM), exploratory spatial data analysis (ESDA) and space-time transition methods to explore the green development efficiency and spatial correlation pattern of regional tourism in China. Our analysis suggests that China's regional tourism's green development efficiency are dropping with an average level of 0.632-0.739 from 2010 to 2019, and more than half of the provinces still concentrated in the medium and low efficiency levels due to their extensive development. There are great differences across its regions with the largest mean difference of 0.794 in tourism green development efficiency, and the four major regions of China shows a pattern of Northeast > Central > Western > Eastern. China's tourism green development efficiency shows a clear positive spatial association, but it diminishes over time, and the spatial variation among provinces has become greater. The green development efficiency of China's tourism has relatively stable spatial agglomeration, dominated by high-high aggregations and low-high aggregations. And its space-time transition type exhibits certain characteristics of spatial locking and path dependence, among which, provinces with transition type IV have the most.
{"title":"Efficiency Evaluation and Spatial Pattern of Regional Tourism Green Development in China","authors":"Junhong Deng, Guobao Xiong, Yuanda Luo, Baogen Ding","doi":"10.1145/3537693.3537738","DOIUrl":"https://doi.org/10.1145/3537693.3537738","url":null,"abstract":"Green development efficiency evaluation for tourism is an important basis for revealing the quality of regional tourism development in China. Based on the measurement of China's regional tourism carbon emissions and energy consumption from 2010 to 2019, this paper comprehensively uses the slack based model (SBM), exploratory spatial data analysis (ESDA) and space-time transition methods to explore the green development efficiency and spatial correlation pattern of regional tourism in China. Our analysis suggests that China's regional tourism's green development efficiency are dropping with an average level of 0.632-0.739 from 2010 to 2019, and more than half of the provinces still concentrated in the medium and low efficiency levels due to their extensive development. There are great differences across its regions with the largest mean difference of 0.794 in tourism green development efficiency, and the four major regions of China shows a pattern of Northeast > Central > Western > Eastern. China's tourism green development efficiency shows a clear positive spatial association, but it diminishes over time, and the spatial variation among provinces has become greater. The green development efficiency of China's tourism has relatively stable spatial agglomeration, dominated by high-high aggregations and low-high aggregations. And its space-time transition type exhibits certain characteristics of spatial locking and path dependence, among which, provinces with transition type IV have the most.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83693540","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}
Choon Sen Seah, Y. Loh, Yoong Soon Wong, Farah Waheeda Jalaludin, Li Har Loh
As the world was consumed by the spread of COVID-19, the population plunged with it. The world witnessed a great change in lifestyle. This includes spending pattern. The primary goal of this research is to investigate the factors that facilitate e-commerce demand during COVID-19 by focusing on the two popular platforms among Malaysian; Shopee and Lazada. This research attempts to observe and study whether factors such as product, price, time-saving, payment, security, administrative and psychological are related to the demand on e-commerce. The announcement of the Movement Control Order (MCO) by the Malaysian government saw the closing of physical premises. Malaysian has turned to online to source for necessities. A total of 200 samples were collected through an online survey questionnaire. The collected data were analysed using IBM's SPSS software. The result implied that product, price, time-saving, payment, security and administrative factors have a significant relationship on e-commerce demand.
{"title":"The Influence of COVID-19 Pandemic on Malaysian E-Commerce Landscape: The case of Shopee and Lazada","authors":"Choon Sen Seah, Y. Loh, Yoong Soon Wong, Farah Waheeda Jalaludin, Li Har Loh","doi":"10.1145/3537693.3537726","DOIUrl":"https://doi.org/10.1145/3537693.3537726","url":null,"abstract":"As the world was consumed by the spread of COVID-19, the population plunged with it. The world witnessed a great change in lifestyle. This includes spending pattern. The primary goal of this research is to investigate the factors that facilitate e-commerce demand during COVID-19 by focusing on the two popular platforms among Malaysian; Shopee and Lazada. This research attempts to observe and study whether factors such as product, price, time-saving, payment, security, administrative and psychological are related to the demand on e-commerce. The announcement of the Movement Control Order (MCO) by the Malaysian government saw the closing of physical premises. Malaysian has turned to online to source for necessities. A total of 200 samples were collected through an online survey questionnaire. The collected data were analysed using IBM's SPSS software. The result implied that product, price, time-saving, payment, security and administrative factors have a significant relationship on e-commerce demand.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90801248","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}
Ha Nguyen Thi Thu, Binh Giang Nguyen, N. X. Trung, Vinh Ho Ngoc
The rapid growth of online booking websites has created a new trend in hotel star rating based on customer reviews. Therefore, there is a discrepancy between hotel ratings by traveler on the Internet and hotel ratings according to national standards, especially for 4–5 stars hotels. In recent years, a number of hotel rating organizations on the world have incorporated Internet star rating standards to update their hotel star rating standards. In Vietnam, the hotel star rating standards have been updated since 2015 and have not yet approached online hotel star ratings. In this study, a new hotel rating method is proposed using Internet traveler reviews for rating. Data was collected from TripAdvisor about hotels in Vietnam from 4-5 stars of 5 major cities. Deep neural network model is used to classify hotels from 3 to 5 stars. The results shown that, the deviation between online rating and actual star rating is 0.6. This is also a suggestion for hotel managers to understand about their customers and improve the quality of their hotels to match the common standards of many different customers around the world.
{"title":"A method for Vietnamese Hotel Online Rating based on Big Data Analysis: Vietnames Hotel Rating based on Big Data analysis","authors":"Ha Nguyen Thi Thu, Binh Giang Nguyen, N. X. Trung, Vinh Ho Ngoc","doi":"10.1145/3537693.3537710","DOIUrl":"https://doi.org/10.1145/3537693.3537710","url":null,"abstract":"The rapid growth of online booking websites has created a new trend in hotel star rating based on customer reviews. Therefore, there is a discrepancy between hotel ratings by traveler on the Internet and hotel ratings according to national standards, especially for 4–5 stars hotels. In recent years, a number of hotel rating organizations on the world have incorporated Internet star rating standards to update their hotel star rating standards. In Vietnam, the hotel star rating standards have been updated since 2015 and have not yet approached online hotel star ratings. In this study, a new hotel rating method is proposed using Internet traveler reviews for rating. Data was collected from TripAdvisor about hotels in Vietnam from 4-5 stars of 5 major cities. Deep neural network model is used to classify hotels from 3 to 5 stars. The results shown that, the deviation between online rating and actual star rating is 0.6. This is also a suggestion for hotel managers to understand about their customers and improve the quality of their hotels to match the common standards of many different customers around the world.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87954948","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 focus of this research is to assess the correlation between the basic variables of Dechow F-Score and the fraudulent financial statement that is marked by the Beneish M-Score by using the Indonesian Energy Sector company's financial data between 2016-2020. Dechow F-Score is a relative new method compared to Beneish M-Score Model. Both methods are included as one of tools that used by forensic accountants in detecting fraudulent financial statements. Recently the energy sector is considered as one of the business sectors which have a high fraud risk level. The implementation of forensic accounting can ease management and forensic accountant in detecting fraud.
{"title":"Forensic Accounting on Indonesian Energy Sector with Beneish M-Score Model Analysis","authors":"K. Deniswara, Jonathan Theodore Kesuma, V. Louis","doi":"10.1145/3537693.3537709","DOIUrl":"https://doi.org/10.1145/3537693.3537709","url":null,"abstract":"The focus of this research is to assess the correlation between the basic variables of Dechow F-Score and the fraudulent financial statement that is marked by the Beneish M-Score by using the Indonesian Energy Sector company's financial data between 2016-2020. Dechow F-Score is a relative new method compared to Beneish M-Score Model. Both methods are included as one of tools that used by forensic accountants in detecting fraudulent financial statements. Recently the energy sector is considered as one of the business sectors which have a high fraud risk level. The implementation of forensic accounting can ease management and forensic accountant in detecting fraud.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89035715","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 number of cases of fraud, especially fraud in the preparation and publication of financial statements is increasing. Both in the international world and also in Indonesia. The number of cases that have occurred for several years have only been uncovered, resulting in large losses for users of financial statements and stakeholders. The industrial revolution 4.0 opens up new opportunities, with the existence of big data analytics and forensic audits, which are expected to increase professional skepticism of auditors to be more observant in detecting fraudulent financial reports. Our research is a quantitative study, we tested the hypothesis between the independent variable and the moderating variable on the dependent variable. The independent variables in our research are professional skepticism, and big data analytics, then the moderating variable is forensic accounting, and the dependent variable is financial statement fraud detection. The object of our research is the auditor in a public accounting firm. We used the structural equation modeling partial least square as our data analysis. The results of our study state that professional skepticism, big data analytics have a significant impact on financial statement fraud detection. Forensic accounting moderate both professional skepticism and big data analytics.
{"title":"The Effect of Skepticism, Big Data Analytics to Financial Fraud Detection Moderated by Forensic Accounting","authors":"B. Handoko, Ameliya Rosita","doi":"10.1145/3537693.3537703","DOIUrl":"https://doi.org/10.1145/3537693.3537703","url":null,"abstract":"The number of cases of fraud, especially fraud in the preparation and publication of financial statements is increasing. Both in the international world and also in Indonesia. The number of cases that have occurred for several years have only been uncovered, resulting in large losses for users of financial statements and stakeholders. The industrial revolution 4.0 opens up new opportunities, with the existence of big data analytics and forensic audits, which are expected to increase professional skepticism of auditors to be more observant in detecting fraudulent financial reports. Our research is a quantitative study, we tested the hypothesis between the independent variable and the moderating variable on the dependent variable. The independent variables in our research are professional skepticism, and big data analytics, then the moderating variable is forensic accounting, and the dependent variable is financial statement fraud detection. The object of our research is the auditor in a public accounting firm. We used the structural equation modeling partial least square as our data analysis. The results of our study state that professional skepticism, big data analytics have a significant impact on financial statement fraud detection. Forensic accounting moderate both professional skepticism and big data analytics.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86363214","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}
Business transactions will be influenced by the market sentiment, and market sentiment can generate volatility for many transactions. This paper wants to study the impact of market sentiment on the R&D investment of Chinese GEM listed companies. Taking the IPO companies listed on GEM from 2013 to 2018 as the research object. The regression research results show that: the number of IPO issuance, annual transaction amount, and IPO return rate are positively correlated with the listed company ’s R&D investment in the next year and R&D investment in the next two years, and after joining the control variable of ROA in the year of IPO, the result remains unchanged. It shows that whether short-term or long-term, market sentiment has a positive impact on the company's R&D investment, this conclusion can be used as a reference when the company makes relevant decisions.
{"title":"Will Market Sentiment Influence the R&D Investment of Companies?","authors":"Cuifeng Wu, Yurong Zhang","doi":"10.1145/3537693.3537741","DOIUrl":"https://doi.org/10.1145/3537693.3537741","url":null,"abstract":"Business transactions will be influenced by the market sentiment, and market sentiment can generate volatility for many transactions. This paper wants to study the impact of market sentiment on the R&D investment of Chinese GEM listed companies. Taking the IPO companies listed on GEM from 2013 to 2018 as the research object. The regression research results show that: the number of IPO issuance, annual transaction amount, and IPO return rate are positively correlated with the listed company ’s R&D investment in the next year and R&D investment in the next two years, and after joining the control variable of ROA in the year of IPO, the result remains unchanged. It shows that whether short-term or long-term, market sentiment has a positive impact on the company's R&D investment, this conclusion can be used as a reference when the company makes relevant decisions.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75844006","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}
Based on Aribnb open dataset, this paper is using Logistic Regression—a machine learning method, to analyse how attributes like location and neighbourhood influence the rental price; and, based on the given attributes associate with the estate, predict both rental price and room type. This work is beneficial to the travelers who have the demand in finding an appropriate estate; it can be also instructive in building the recommendation system which can help travelers to find the best estate they want. Apart from the ordinary method in constructing Logistic Regression model which is binary classification, this paper is using softmax function to implement multi-classification which is room type prediction in this work. Through price prediction did not reach the desirable outcome, the room type prediction, however, reached the accuracy about 80%.
{"title":"Logistic Regression in Rental Price and Room Type Prediction Based on Airbnb Open Dataset","authors":"Ziyue Huang","doi":"10.1145/3537693.3537732","DOIUrl":"https://doi.org/10.1145/3537693.3537732","url":null,"abstract":"Based on Aribnb open dataset, this paper is using Logistic Regression—a machine learning method, to analyse how attributes like location and neighbourhood influence the rental price; and, based on the given attributes associate with the estate, predict both rental price and room type. This work is beneficial to the travelers who have the demand in finding an appropriate estate; it can be also instructive in building the recommendation system which can help travelers to find the best estate they want. Apart from the ordinary method in constructing Logistic Regression model which is binary classification, this paper is using softmax function to implement multi-classification which is room type prediction in this work. Through price prediction did not reach the desirable outcome, the room type prediction, however, reached the accuracy about 80%.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"12 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80102559","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}
During Covid-19, offline business faces cheerless performance, however online e-commerce is booming along with more and more consumer building online shopping behavior considering safety. With the development of e-commerce, shopping livestream become a key driver for online sales. Previous studies found that vivid visibility, interaction, KOL shopping guide etc which are the key characters of shopping livestream will effectively impact purchase behavior through mediating variable-Immersion (Flow). But some studies show opposite result that the mediating effect of immersion is not obvious. Most of studies just focus on the influence to purchase and mediating mechanism of immersion but less studies pay attention the reverse result. That is the meaning and focus of this study. We found that the reason is there is moderating variable-time pressure to impact the mediating effect. We developed a model with four hypotheses. Two independent variable- interaction and entertainment impact impulse purchase intention through mediating variable – Immersion, while time pressure as moderating variable. Result showed that all the hypotheses were successfully established. The main effect of interaction and entertainment on impulse purchase intention was significant, which mediated by immersion. While time pressure as moderating variable effectively adjusted mediating effect. The result and insight can be applied to future business operation.
{"title":"Mechanism of Interaction and Entertainment Impact on Impulse Purchase Intention in Shopping Livestream","authors":"Weiwei Lu, Yiwen Chen, Shang Li","doi":"10.1145/3537693.3537763","DOIUrl":"https://doi.org/10.1145/3537693.3537763","url":null,"abstract":"During Covid-19, offline business faces cheerless performance, however online e-commerce is booming along with more and more consumer building online shopping behavior considering safety. With the development of e-commerce, shopping livestream become a key driver for online sales. Previous studies found that vivid visibility, interaction, KOL shopping guide etc which are the key characters of shopping livestream will effectively impact purchase behavior through mediating variable-Immersion (Flow). But some studies show opposite result that the mediating effect of immersion is not obvious. Most of studies just focus on the influence to purchase and mediating mechanism of immersion but less studies pay attention the reverse result. That is the meaning and focus of this study. We found that the reason is there is moderating variable-time pressure to impact the mediating effect. We developed a model with four hypotheses. Two independent variable- interaction and entertainment impact impulse purchase intention through mediating variable – Immersion, while time pressure as moderating variable. Result showed that all the hypotheses were successfully established. The main effect of interaction and entertainment on impulse purchase intention was significant, which mediated by immersion. While time pressure as moderating variable effectively adjusted mediating effect. The result and insight can be applied to future business operation.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84171521","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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