The aim of this study is to enhance the quality of civil engineering project management and optimize project control in order to ensure adequate construction resources and facilitate seamless project progression. By integrating building information modeling (BIM) technology with deep learning techniques, optimal control was examined at various stages of civil engineering project management. A simulation test was performed on a selected gymnasium engineering project, focusing on cost and resource control aspects. The findings revealed that, as the project advanced, the planned cost exceeded the actual cost by nearly 100,000 yuan in the final stage. The combination of BIM technology and deep learning model prediction substantially reduced the cost and material budgets of the engineering project. Data analysis showed that the average positioning error of the convolutional neural network algorithm for the project model was below 2%.
{"title":"The Control of Civil Engineering Projects Based on Deep Learning and Building Information Modeling","authors":"Fang Wang, Liangqiong Chen","doi":"10.4018/irmj.329250","DOIUrl":"https://doi.org/10.4018/irmj.329250","url":null,"abstract":"The aim of this study is to enhance the quality of civil engineering project management and optimize project control in order to ensure adequate construction resources and facilitate seamless project progression. By integrating building information modeling (BIM) technology with deep learning techniques, optimal control was examined at various stages of civil engineering project management. A simulation test was performed on a selected gymnasium engineering project, focusing on cost and resource control aspects. The findings revealed that, as the project advanced, the planned cost exceeded the actual cost by nearly 100,000 yuan in the final stage. The combination of BIM technology and deep learning model prediction substantially reduced the cost and material budgets of the engineering project. Data analysis showed that the average positioning error of the convolutional neural network algorithm for the project model was below 2%.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45161035","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}
Understanding why users continue or discontinue using specific technology is vital for its providers. Existing literature has explored the reasons for continuance and discontinuance by taking into account both rational and emotional factors. However, one question remains unanswered: Why do some users depend more on rational factors for decision-making, while others rely more on emotional factors? This study addresses this question by integrating cognitive decision-making styles and the fear of making incorrect decisions into traditional continued usage models. Data were gathered from 285 TV users and analyzed using structural equation modeling. The results demonstrate that the introduced constructs moderated the direct effects of rational and emotional factors. The contribution of the study lies in incorporating the underlying cognitive processes of decision-making. It presents two actionable variables that managers can utilize to categorize their customers and enhance the effectiveness of their use continuance strategies.
{"title":"Rational or Emotional User","authors":"Edgardo Bravo, Jhony Ostos","doi":"10.4018/irmj.325241","DOIUrl":"https://doi.org/10.4018/irmj.325241","url":null,"abstract":"Understanding why users continue or discontinue using specific technology is vital for its providers. Existing literature has explored the reasons for continuance and discontinuance by taking into account both rational and emotional factors. However, one question remains unanswered: Why do some users depend more on rational factors for decision-making, while others rely more on emotional factors? This study addresses this question by integrating cognitive decision-making styles and the fear of making incorrect decisions into traditional continued usage models. Data were gathered from 285 TV users and analyzed using structural equation modeling. The results demonstrate that the introduced constructs moderated the direct effects of rational and emotional factors. The contribution of the study lies in incorporating the underlying cognitive processes of decision-making. It presents two actionable variables that managers can utilize to categorize their customers and enhance the effectiveness of their use continuance strategies.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43540190","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}
Jianping Peng, Wanli Liu, Zhenheng Huang, Dongmei Xu, Qinglei Cai, J. Quan
The automobile consumption credit business promotes the development of the automobile industry. However, the current credit system in China requires further refinement. Thus, the credit loan business is associated with certain risks, and company profits are often negatively impacted by clients who default on loans. Based on the data, this article leverages the economic and financial theories of consumer credit risk control to construct a logistic model to predict customers' default probability. Then, a quadratic regression model is established to determine the optimal commission structure to balance profitability with incentives from retail stores. Results show that the macro-level variables are negatively associated with the probability of good behavior. The personal level variables exhibit a positive association. In addition, a negative coefficient in the quadratic profit equation indicates the presence of an inverted “U” relationship between profit and commission. Corresponding suggestions are put forward.
{"title":"Risk and Revenue Management in the Chinese Auto Loan Industry","authors":"Jianping Peng, Wanli Liu, Zhenheng Huang, Dongmei Xu, Qinglei Cai, J. Quan","doi":"10.4018/irmj.323438","DOIUrl":"https://doi.org/10.4018/irmj.323438","url":null,"abstract":"The automobile consumption credit business promotes the development of the automobile industry. However, the current credit system in China requires further refinement. Thus, the credit loan business is associated with certain risks, and company profits are often negatively impacted by clients who default on loans. Based on the data, this article leverages the economic and financial theories of consumer credit risk control to construct a logistic model to predict customers' default probability. Then, a quadratic regression model is established to determine the optimal commission structure to balance profitability with incentives from retail stores. Results show that the macro-level variables are negatively associated with the probability of good behavior. The personal level variables exhibit a positive association. In addition, a negative coefficient in the quadratic profit equation indicates the presence of an inverted “U” relationship between profit and commission. Corresponding suggestions are put forward.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43800275","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}
{"title":"Deep Learning Techniques for Demand Forecasting: Review and Future Research Opportunities","authors":"N. ArunkumarO., D. Divya","doi":"10.4018/IRMJ.291692","DOIUrl":"https://doi.org/10.4018/IRMJ.291692","url":null,"abstract":"","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":"35 1","pages":"1-24"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70478278","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}
In the context of internet age, data is growing explosively in the Chinese retail industry. However, there is insufficient research of the theoretical frameworks and interaction relationships between big data, supply chain platforms, and online retail. Through a literature review, an empirical case study survey of Alibaba, and grounded theory, this paper explores how big data helps shape supply chain platforms able to support new forms of online retail. The theoretical framework was validated by testing the reliability and the open coding to process of the case study materials. The results identify the overall antecedents to the formation of the supply chain platform and reveal significant positive effects between big data and new retail. The findings help firms build big-data driven supply chain platforms better able to support new forms of online retail.
{"title":"The Role Of Big Data In The Formation Of Supply Chain Platforms For New Forms Of Online Retail","authors":"","doi":"10.4018/irmj.287904","DOIUrl":"https://doi.org/10.4018/irmj.287904","url":null,"abstract":"In the context of internet age, data is growing explosively in the Chinese retail industry. However, there is insufficient research of the theoretical frameworks and interaction relationships between big data, supply chain platforms, and online retail. Through a literature review, an empirical case study survey of Alibaba, and grounded theory, this paper explores how big data helps shape supply chain platforms able to support new forms of online retail. The theoretical framework was validated by testing the reliability and the open coding to process of the case study materials. The results identify the overall antecedents to the formation of the supply chain platform and reveal significant positive effects between big data and new retail. The findings help firms build big-data driven supply chain platforms better able to support new forms of online retail.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45782437","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 explores the transformational consequence of information systems (IS), and the moderating impact of organizational communication culture in human resource management (HRM). This study used panel data from 2011 to 2015 in South Korea for this investigation. This study found that using IS for HRM is positively associated with the shift of HRM’s position from administrative workers to strategic partners. Also, the positive moderation effect of the open communication culture was demonstrated.
{"title":"The Role of Information Systems And Organizational Communication Culture In Transforming A Business Function","authors":"","doi":"10.4018/irmj.298975","DOIUrl":"https://doi.org/10.4018/irmj.298975","url":null,"abstract":"This research explores the transformational consequence of information systems (IS), and the moderating impact of organizational communication culture in human resource management (HRM). This study used panel data from 2011 to 2015 in South Korea for this investigation. This study found that using IS for HRM is positively associated with the shift of HRM’s position from administrative workers to strategic partners. Also, the positive moderation effect of the open communication culture was demonstrated.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48184025","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}
Elie Sumarliah, Tieke Li, B. Wang, Indriya Indriya
Risk management is indispensable. Halal fashion is an emerging business globally, yet studies of Halal fashion supply chain (HFSC) risk management are scarce. An in-depth literature review discovered 40 risk factors in the HFSC. A group of professionals active in the field classified these risks into seven categories. The fuzzy best-worst approach was then used to rank the risk categories and risk factors. Manufacturing and design risks have the highest significance in HFSC management, and risks in the financial and sustainability categories the lowest. The paper contributes significantly by delivering an extensive inventory of HFSC management risks and their relative rankings that can serve as a foundation for the development of a large number of theoretical studies.
{"title":"An Examination of Halal Fashion Supply Chain Management Risks Based on the Fuzzy Best-Worst Approach","authors":"Elie Sumarliah, Tieke Li, B. Wang, Indriya Indriya","doi":"10.4018/irmj.2021100104","DOIUrl":"https://doi.org/10.4018/irmj.2021100104","url":null,"abstract":"Risk management is indispensable. Halal fashion is an emerging business globally, yet studies of Halal fashion supply chain (HFSC) risk management are scarce. An in-depth literature review discovered 40 risk factors in the HFSC. A group of professionals active in the field classified these risks into seven categories. The fuzzy best-worst approach was then used to rank the risk categories and risk factors. Manufacturing and design risks have the highest significance in HFSC management, and risks in the financial and sustainability categories the lowest. The paper contributes significantly by delivering an extensive inventory of HFSC management risks and their relative rankings that can serve as a foundation for the development of a large number of theoretical studies.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42115775","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}
Mobile payments have revolutionized and modernized the way payment transactions are completed. The acceptance of mobile payments is vital to eCommerce. This study explored the factors influencing the continued acceptance of WeChat mobile payments by a cross-section of vendors in the city of Ganzhou, China. A questionnaire was administered to 500 vendors with a response rate of 81%. The results show that performance expectancy and trust fostered the continued acceptance of WeChat mobile payments. However, while effort expectancy was significant in predicting the level of trust in WeChat mobile payments, it did not significantly influence their continued acceptance. Social influence, facilitating conditions, and trust in WeChat mobile payments were all significant predictors of the continued acceptance of WeChat mobile payments.
{"title":"Factors Influencing the Continued Acceptance of Wechat Mobile Payments by Chinese Vendors","authors":"Isaac Kofi Mensah, Yijun Liu, Chuanyong Luo","doi":"10.4018/irmj.2021100102","DOIUrl":"https://doi.org/10.4018/irmj.2021100102","url":null,"abstract":"Mobile payments have revolutionized and modernized the way payment transactions are completed. The acceptance of mobile payments is vital to eCommerce. This study explored the factors influencing the continued acceptance of WeChat mobile payments by a cross-section of vendors in the city of Ganzhou, China. A questionnaire was administered to 500 vendors with a response rate of 81%. The results show that performance expectancy and trust fostered the continued acceptance of WeChat mobile payments. However, while effort expectancy was significant in predicting the level of trust in WeChat mobile payments, it did not significantly influence their continued acceptance. Social influence, facilitating conditions, and trust in WeChat mobile payments were all significant predictors of the continued acceptance of WeChat mobile payments.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43092652","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}
Xuhui Wang, A. Butt, Qilin Zhang, Hassan Ahmad, Muhammad Noman Shafique
AI is playing a disruptive role in many industrial sectors and also in the banking industry. The purpose of this research study was to empirically test consumer willingness to use AI-powered financial investment robo-advisors. Analysis of data from 500 survey responses collected from m-banking users performed using Smart Pls showed that there was clear intention on the part of m-banking consumers in Pakistan to use AI-powered financial investment robo-advisors. The results reinforce the findings of earlier studies.
{"title":"Intention to Use AI-Powered Financial Investment Robo-Advisors in the M-Banking Sector of Pakistan","authors":"Xuhui Wang, A. Butt, Qilin Zhang, Hassan Ahmad, Muhammad Noman Shafique","doi":"10.4018/irmj.2021100101","DOIUrl":"https://doi.org/10.4018/irmj.2021100101","url":null,"abstract":"AI is playing a disruptive role in many industrial sectors and also in the banking industry. The purpose of this research study was to empirically test consumer willingness to use AI-powered financial investment robo-advisors. Analysis of data from 500 survey responses collected from m-banking users performed using Smart Pls showed that there was clear intention on the part of m-banking consumers in Pakistan to use AI-powered financial investment robo-advisors. The results reinforce the findings of earlier studies.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42416545","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}
Xuhui Wang, Md Jamirul Haque, Wenjing Li, A. Butt, Hassan Ahmad, H. Shaikh
Personnel recruitment and selection is changing rapidly with the adoption of artificial intelligence (AI) tools. This chapter looks at how job applicants perceive AI in recruitment. The results show that AI tools encourage a larger number of quality application submissions and for two reasons. First, AI entrains a perception of a novel approach to job searching. Second, AI is perceived to be able to interactively tailor the application experience to what the individual applicant expects and has to offer. These perceptions increase the likelihood the user will submit a job application and so improves the size and quality of the pool from which to recruit personnel.
{"title":"AI-Enabled E-Recruitment Services Make Job Searching, Application Submission, and Employee Selection More Interactive","authors":"Xuhui Wang, Md Jamirul Haque, Wenjing Li, A. Butt, Hassan Ahmad, H. Shaikh","doi":"10.4018/irmj.2021100103","DOIUrl":"https://doi.org/10.4018/irmj.2021100103","url":null,"abstract":"Personnel recruitment and selection is changing rapidly with the adoption of artificial intelligence (AI) tools. This chapter looks at how job applicants perceive AI in recruitment. The results show that AI tools encourage a larger number of quality application submissions and for two reasons. First, AI entrains a perception of a novel approach to job searching. Second, AI is perceived to be able to interactively tailor the application experience to what the individual applicant expects and has to offer. These perceptions increase the likelihood the user will submit a job application and so improves the size and quality of the pool from which to recruit personnel.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47911905","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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