Chunqiao Tan, Li Zhou, Y.P. Tsang, Chao He, Huijuan Yang
{"title":"A Stackelberg game framework for resource management in the CloudPoS-Based blockchain network","authors":"Chunqiao Tan, Li Zhou, Y.P. Tsang, Chao He, Huijuan Yang","doi":"10.1080/17517575.2023.2256005","DOIUrl":"https://doi.org/10.1080/17517575.2023.2256005","url":null,"abstract":"ABSTRACTThis paper proposes a two-stage Stackelberg game framework to study resource management in a CloudPoS-based blockchain network, analyzes multiple factors’ impact on optimal strategies and profits of cloud service provider (CSP) and miners. The results show that the proposed model can maximize the profits of CSP and miners, the fixed reward, the total supply, and the propagation delay have a monotonic impact on miners’ decisions, but a non-monotonic impact on CSP’s decisions; the number of miners has a non-monotonic impact on both decisions. Our findings emphasize that the CSP should control the number of miners participating in cloud mining and the total supply of resources.KEYWORDS: blockchaincloud computingproof-of-stakeStackelberg gameprice decision AcknowledgmentsThis research is partially funded by the grant of National Natural Science Foundation of China [No. 71971218], the National Social Science project of China “Research on Improving Logistics Service Quality and Low Carbon Governance Mechanism (21FGLB046)”.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Natural Science Foundation of China [71971218].","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134911926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unleashing the power of social media data in business decision making: an exploratory study","authors":"Xinwei Li, Y. K. Tse, Fernando Fastoso","doi":"10.1080/17517575.2023.2243603","DOIUrl":"https://doi.org/10.1080/17517575.2023.2243603","url":null,"abstract":"","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47682995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. K. H. Lee, E. K. Leung, Y. K. Tse, Yu-Chung Tsao
{"title":"Investigating collision patterns to support autonomous driving safety","authors":"C. K. H. Lee, E. K. Leung, Y. K. Tse, Yu-Chung Tsao","doi":"10.1080/17517575.2023.2243460","DOIUrl":"https://doi.org/10.1080/17517575.2023.2243460","url":null,"abstract":"","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47400193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A mathematical programming model for optimal selection of enterprise growth strategies using fuzzy approach","authors":"Yu-Teng Chang","doi":"10.1080/17517575.2023.2185816","DOIUrl":"https://doi.org/10.1080/17517575.2023.2185816","url":null,"abstract":"ABSTRACT Constant growth is crucial for sustainable enterprise operations, encompassing increased sales, turnover, profits, and market share. Growth strategies can be organic or inorganic, with organic strategies leveraging internal strengths and inorganic strategies relying on external factors. Selecting the optimal combination of strategies with limited resources and timing is a key management challenge. Traditional approaches struggle with non-linear market changes. This study proposes a mathematical programming model, including single-objective and multi-objective models. The multi-objective model is transformed using fuzzy theory. The case results and sensitivity analysis demonstrate that these models effectively help enterprises select the best growth strategy combination.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48101852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fei Jiang, Khong Kok Wei, S. Ng, M. Amin, Halimin Herjanto, Jie Liu
{"title":"How blockchain technology hyperautomatically affects corporate performance by green supply chain?","authors":"Fei Jiang, Khong Kok Wei, S. Ng, M. Amin, Halimin Herjanto, Jie Liu","doi":"10.1080/17517575.2023.2204305","DOIUrl":"https://doi.org/10.1080/17517575.2023.2204305","url":null,"abstract":"ABSTRACT Hyperautomation is a true digital transformation using advanced techniques and automates complicated business processes. Blockchain-based networks have hyper-automation turbo-boost power as they create tamper-proof, real-time data exchange networks. The study aims to examine the impact of blockchain on the performance of Chinese electronics manufacturers through the green supply chain and circular economy in the hyper-automation environment. Respondents (n = 376) in the present study were made up of employees from 300 China-based electronics companies. The results show that blockchain technology with hyper-automation can impact business performance through a circular economy and green supply chain. In addition, they have direct practical implications for Chinese electronics manufacturers moving towards a green supply chain by applying blockchain in the hyper-automation environment.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46794509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Feng, Qinglin Zhao, Hong Liang, Shuang Gao, Kan Xie, Jian Li, Li-Chieh Lin, Yuqiang Chen
{"title":"Throughput analysis of frequency-domain contention under realistic conditions for hyperautomation","authors":"Li Feng, Qinglin Zhao, Hong Liang, Shuang Gao, Kan Xie, Jian Li, Li-Chieh Lin, Yuqiang Chen","doi":"10.1080/17517575.2023.2204303","DOIUrl":"https://doi.org/10.1080/17517575.2023.2204303","url":null,"abstract":"ABSTRACT Internet of Things (IoT) has widely been deployed in various industrial fields. To achieve hyperautomation in IoT-based applications, it calls for high-efficient wireless transmission technologies to improve the response speed of IoT nodes. Frequency-domain contention (FDC) is a promising contention-based channel access mechanism to meet this requirement. However, the nature of FDC’s multiple-transmission-multiple-reception and the limit of IoT chip’s synchronization accuracy will lead to carrier frequency offset (CFO) and hence frequent transmission collisions and null transmissions. Considering integer and fractional CFO, this paper theoretically analyzes the FDC throughput and verifies the accuracy of our model via extensive simulations.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49089356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel parallel frequent itemset mining algorithm for automatic enterprise","authors":"Yimin Mao, Bin-Chang Wu, Qianhu Deng, S. Mahmoodi, Zhigang Chen, Yeh-Cheng Chen","doi":"10.1080/17517575.2023.2204317","DOIUrl":"https://doi.org/10.1080/17517575.2023.2204317","url":null,"abstract":"ABSTRACT Heterogeneity, volume and real-time velocity of manufacturing data affect the business efficiency within the process for analyzing data in Robotic Process Automation (RPA). A novel parallel frequent itemset mining algorithm based on MapReduce (PMRARIM-IEG) is designed to improve the business efficiency. The algorithm is designed to address issues such as the CanTree's excessive space usage, the inability to dynamically set the support threshold, and the time-consuming data transmission during the Map and Reduce phases. Experiments show that the proposed algorithm has lower memory usage and higher parallel efficiency than the traditional parallel frequent itemset mining algorithm.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41854074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An empirical investigation of electronic word-of-mouth: product recall and crisis response strategy in social media","authors":"Ruiqing Sun, Y. K. Tse, Xiaohong Liu","doi":"10.1080/17517575.2023.2204331","DOIUrl":"https://doi.org/10.1080/17517575.2023.2204331","url":null,"abstract":"ABSTRACT Product recall crises can damage reputation, result in financial losses, and generate negative word-of-mouth from customers. Appropriate response strategies on social media platforms can help companies minimise losses and save electronic word-of-mouth (eWOM). This study analysed 32,697 customer comments from Facebook to explore customer perceptions and examine the performance of different response strategies. Findings showed that the accommodative response strategy improves overall eWOM compared to the indifferent response strategy. The study provides a comprehensive understanding of the impact of social media crisis response strategies on eWOM and offers evidential managerial insights for better customer perceptions.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43612648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rodrigo Furlan de Assis, Luis Antonio de Santa-Eulalia, Fabiano Armellini, R. Anholon, I. Rampasso, F. M. Guerrini, Moacir Godinho Filho, William de Paula Ferreira
{"title":"A system dynamics approach to unlock the complexity of the S&OP in virtual enterprises","authors":"Rodrigo Furlan de Assis, Luis Antonio de Santa-Eulalia, Fabiano Armellini, R. Anholon, I. Rampasso, F. M. Guerrini, Moacir Godinho Filho, William de Paula Ferreira","doi":"10.1080/17517575.2023.2203430","DOIUrl":"https://doi.org/10.1080/17517575.2023.2203430","url":null,"abstract":"ABSTRACT Virtual Enterprise (VE) enables organisations to compete by strengthening their core competencies and sharing risks through collaboration. However, for manufacturing-based VE, the literature fails to provide adequate simulation-based methods for understanding the complex behaviour of the production planning step at the tactical level, known as Aggregate Production Planning or Sales & Operations Planning (S&OP). In this context, this paper proposes a novel System Dynamics-based model to help to understand the dynamic behaviour of S&OP in VE. Results suggest the efficiency of the proposed model, including its ability to straightforwardly make simulation-based S&OP scenarios comparisons, thus expanding the analytic decision-making capacity of managers desiring to push the limits of traditional S&OP in VE.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45473688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Point-supervised temporal action localisation based on multi-branch attention","authors":"Shu Liu, Yang Zhang, Gautam Srivastava","doi":"10.1080/17517575.2023.2197318","DOIUrl":"https://doi.org/10.1080/17517575.2023.2197318","url":null,"abstract":"ABSTRACT Temporal action localisation is a key research direction for video understanding in the field of computer vision. Current methods of using an attention mechanism only divides the video frame into an action instance frame and a background frame. As a result, the action context, which should belong to the background is misclassified into an action instance In addition, during the training phase of using point-supervised frame-level labels, action samples and background samples are unbalanced. The lack of background samples leads to the reduction of the activation score of the background so that the imbalance of samples will affect the separation of action examples from the background. All these reduce the accuracy of action classification and temporal localisation. Therefore, this paper proposesa multi-branch attention network and a pseudo-background label generation method. Experimental results show that the proposed method can improve the separation effect of action instances, background, and action context. Moreover, the proposed model achieves excellent performance on the THUMOS-14 dataset.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41761050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}