Pub Date : 2024-01-09DOI: 10.1080/17517575.2023.2300991
Abduallah Gamal, Victor Chang, Nada A. Nabeeh, Mohamed Abdel-Basset
{"title":"An IoT model for supporting global governmental lockdown scenarios: investigating comparative lockdown strategies and assessing generic perception of pandemic response","authors":"Abduallah Gamal, Victor Chang, Nada A. Nabeeh, Mohamed Abdel-Basset","doi":"10.1080/17517575.2023.2300991","DOIUrl":"https://doi.org/10.1080/17517575.2023.2300991","url":null,"abstract":"","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443021","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}
Pub Date : 2024-01-04DOI: 10.1080/17517575.2023.2296647
Bokolo Anthony Jnr
Collaborative Enterprise (CE) comprises of organizations that adopt digital platforms to achieve shared goals. In CE the prospect of Distributed Ledger Technologies (DLT) such as blockchain is reli...
协作企业（CE）由采用数字平台实现共同目标的组织组成。在 CE 中，区块链等分布式账本技术（DLT）的前景值得信赖。
{"title":"Enhancing blockchain interoperability and intraoperability capabilities in collaborative enterprise-a standardized architecture perspective","authors":"Bokolo Anthony Jnr","doi":"10.1080/17517575.2023.2296647","DOIUrl":"https://doi.org/10.1080/17517575.2023.2296647","url":null,"abstract":"Collaborative Enterprise (CE) comprises of organizations that adopt digital platforms to achieve shared goals. In CE the prospect of Distributed Ledger Technologies (DLT) such as blockchain is reli...","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139104003","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}
The significant market volatility in the digital economy has demanded businesses to rapidly adapt their e-commerce strategies. This study examines how market volatility in the digital economy impac...
{"title":"Strategic responses to market uncertainty: performance value of strategic agility and online-to-offline platform adoption","authors":"Yulong Liu, Mian Wu, Kee-Hung Lai, Justin Zuopeng Zhang, Jingna Wang","doi":"10.1080/17517575.2023.2292983","DOIUrl":"https://doi.org/10.1080/17517575.2023.2292983","url":null,"abstract":"The significant market volatility in the digital economy has demanded businesses to rapidly adapt their e-commerce strategies. This study examines how market volatility in the digital economy impac...","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138572798","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}
Pub Date : 2023-11-26DOI: 10.1080/17517575.2023.2284427
Daniel Y. Mo, Y.P. Tsang, Y. Wang, Weikun Xu
In this study, an online reinforcement learning-based approach and a reinforcement learning with prior knowledge approach are proposed to enhance decision intelligence in inventory management syste...
本文提出了一种基于在线强化学习的方法和一种基于先验知识的强化学习方法来提高库存管理系统的决策智能。
{"title":"Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand","authors":"Daniel Y. Mo, Y.P. Tsang, Y. Wang, Weikun Xu","doi":"10.1080/17517575.2023.2284427","DOIUrl":"https://doi.org/10.1080/17517575.2023.2284427","url":null,"abstract":"In this study, an online reinforcement learning-based approach and a reinforcement learning with prior knowledge approach are proposed to enhance decision intelligence in inventory management syste...","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138506741","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}
Pub Date : 2023-11-14DOI: 10.1080/17517575.2023.2274141
Ling Li
ABSTRACTOver the past two decades, supply chain partnership management and ambidexterity strategies have advanced significantly. However, there remains a lack of understanding regarding the factors influencing partnership creation and development. This study presents a theory-driven model that integrates ambidexterity concepts to categorize supply chain partner relationships, evaluating their impact on firm performance. The research contributes in three key ways: firstly, it explains how external factors shape a firm's supply chain exploration and exploitation. Secondly, it profiles supply chain partnerships as they evolve, recommending ambidexterity adjustments. Thirdly, it examines the link between partner types and firm performance. Additionally, enterprise information systems play a pivotal role in implementing collaborative planning, forecasting, and replenishment in supply chain networks.KEYWORDS: Supply chain partner relationshipambidexteritycluster analysissupply chain performance Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Unveiling the effects of supply chain relationship types on enterprise performance","authors":"Ling Li","doi":"10.1080/17517575.2023.2274141","DOIUrl":"https://doi.org/10.1080/17517575.2023.2274141","url":null,"abstract":"ABSTRACTOver the past two decades, supply chain partnership management and ambidexterity strategies have advanced significantly. However, there remains a lack of understanding regarding the factors influencing partnership creation and development. This study presents a theory-driven model that integrates ambidexterity concepts to categorize supply chain partner relationships, evaluating their impact on firm performance. The research contributes in three key ways: firstly, it explains how external factors shape a firm's supply chain exploration and exploitation. Secondly, it profiles supply chain partnerships as they evolve, recommending ambidexterity adjustments. Thirdly, it examines the link between partner types and firm performance. Additionally, enterprise information systems play a pivotal role in implementing collaborative planning, forecasting, and replenishment in supply chain networks.KEYWORDS: Supply chain partner relationshipambidexteritycluster analysissupply chain performance Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957603","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}
Pub Date : 2023-09-15DOI: 10.1080/17517575.2023.2255979
Bokolo Anthony Jnr
ABSTRACTPresently to achieve enterprise digitalization technologies such as Distributed Ledger Technologies (DLT) has now been deployed to support digital services provided by enterprises. But several challenges in DLTs remain to be addressed, including the interoperability, standardization, and integration. Therefore, this study provides theoretical and practical understanding of DLT interoperability and identified the factors that influence the interoperability of DLTs. Also, an architecture is designed to shows how interoperability can be achieved in DLTs and legacy systems supported by Application Programming Interface (API). A case study is presented to illustrate the applicability of the architecture to support a digital energy marketplace.KEYWORDS: Enterprise digitalisationdistributed ledger technologiesinteroperabilityarchitecture modellingIOTA Tanglecase scenario AcknowledgementSpecial thanks to +CityxChange and Department of Computer Science, Norwegian University of Science and Technology, NTNU who sponsored the post-doctoral fellowship for the author. This publication is a part of the +CityxChange smart city project (https://cityxchange.eu/) under the Smart Cities and Communities topic that is funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 824260. The authors gratefully acknowledge the support of the participants in the +CityxChange smart city project who provided feedback for modelling of the case scenario.Disclosure statementNo potential conflict of interest was reported by the author.Additional informationFundingThe work was supported by the European Union’s Horizon 2020 Research and Innovation Programme [824260].
{"title":"Enabling interoperable distributed ledger technology with legacy platforms for enterprise digitalization","authors":"Bokolo Anthony Jnr","doi":"10.1080/17517575.2023.2255979","DOIUrl":"https://doi.org/10.1080/17517575.2023.2255979","url":null,"abstract":"ABSTRACTPresently to achieve enterprise digitalization technologies such as Distributed Ledger Technologies (DLT) has now been deployed to support digital services provided by enterprises. But several challenges in DLTs remain to be addressed, including the interoperability, standardization, and integration. Therefore, this study provides theoretical and practical understanding of DLT interoperability and identified the factors that influence the interoperability of DLTs. Also, an architecture is designed to shows how interoperability can be achieved in DLTs and legacy systems supported by Application Programming Interface (API). A case study is presented to illustrate the applicability of the architecture to support a digital energy marketplace.KEYWORDS: Enterprise digitalisationdistributed ledger technologiesinteroperabilityarchitecture modellingIOTA Tanglecase scenario AcknowledgementSpecial thanks to +CityxChange and Department of Computer Science, Norwegian University of Science and Technology, NTNU who sponsored the post-doctoral fellowship for the author. This publication is a part of the +CityxChange smart city project (https://cityxchange.eu/) under the Smart Cities and Communities topic that is funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 824260. The authors gratefully acknowledge the support of the participants in the +CityxChange smart city project who provided feedback for modelling of the case scenario.Disclosure statementNo potential conflict of interest was reported by the author.Additional informationFundingThe work was supported by the European Union’s Horizon 2020 Research and Innovation Programme [824260].","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135397271","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}
Pub Date : 2023-09-14DOI: 10.1080/17517575.2023.2256005
Chunqiao Tan, Li Zhou, Y.P. Tsang, Chao He, Huijuan Yang
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].
{"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":null,"pages":null},"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}
Pub Date : 2023-09-05DOI: 10.1080/17517575.2023.2243616
Yihong Wen, Mingxi Liu, Xiwen Yang, Tailong Yang, Victor Chang
{"title":"BUA: a blockchain-based unlinkable authentication scheme for mobile IoT","authors":"Yihong Wen, Mingxi Liu, Xiwen Yang, Tailong Yang, Victor Chang","doi":"10.1080/17517575.2023.2243616","DOIUrl":"https://doi.org/10.1080/17517575.2023.2243616","url":null,"abstract":"","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46020364","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}
Pub Date : 2023-09-04DOI: 10.1080/17517575.2023.2243603
Xinwei Li, Y. K. Tse, Fernando Fastoso
{"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":null,"pages":null},"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}
Pub Date : 2023-08-17DOI: 10.1080/17517575.2023.2246188
Yu-Feng Huang, ShiJuan Lv, Kuo-Kun Tseng, Pin-Jen Tseng, Xin Xie, Regina Fang-Ying Lin
ABSTRACT The emergence of AI has revolutionized video production, enabling innovative approaches in artistic creation. With self-media's rise and demand for user-generated content, AI drives personalized, efficient video production. However, research lacks comprehensive reviews of AI's impact on film and TV. This study fills the gap by analyzing AI's influence using a five-sub-field framework. Through literature integration, we assess AI video production's potential, proposing a new process paradigm. This research sheds light on AI's transformative role, guiding efficient, personalized film and TV production, and inspiring deep learning-based advancements. This paper acts as a roadmap for maximizing AI's potential in enhancing production quality and efficiency.
{"title":"Recent advances in artificial intelligence for video production system","authors":"Yu-Feng Huang, ShiJuan Lv, Kuo-Kun Tseng, Pin-Jen Tseng, Xin Xie, Regina Fang-Ying Lin","doi":"10.1080/17517575.2023.2246188","DOIUrl":"https://doi.org/10.1080/17517575.2023.2246188","url":null,"abstract":"ABSTRACT The emergence of AI has revolutionized video production, enabling innovative approaches in artistic creation. With self-media's rise and demand for user-generated content, AI drives personalized, efficient video production. However, research lacks comprehensive reviews of AI's impact on film and TV. This study fills the gap by analyzing AI's influence using a five-sub-field framework. Through literature integration, we assess AI video production's potential, proposing a new process paradigm. This research sheds light on AI's transformative role, guiding efficient, personalized film and TV production, and inspiring deep learning-based advancements. This paper acts as a roadmap for maximizing AI's potential in enhancing production quality and efficiency.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41537565","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}
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