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Optimal government subsidy strategy for fresh agricultural products supply chain under adverse weather: a two-stage dynamic game model Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-04-09 Yanhong Qin, Bing Zhang, Ke Wang
To investigate the effects of various government subsidies on the decision of agricultural products supply chain under adverse weather, this paper depicts the random profit function of adverse weat...
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Workshop digitalisation and its effect on manufacturing operations management: a new analysis method from a data quality perspective Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-03-29 Danyuan Li, Li Zheng
Workshop digitalisation (WD) provides a rich supply of real-time production data to achieve efficient manufacturing operations management (MOM). However, if data quality (DQ) cannot be ensured, man...
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Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-03-24 Ritanjali Panigrahi, Nishikant Bele, Prabin Kumar Panigrahi, Brij B. Gupta
This study explores feature-level sentiment analysis of Hindi blog reviews in enterprise systems, a significant area in the Indian context yet understudied. By applying machine learning techniques ...
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An absorptive capacity framework for investigating enterprise system ecosystems: the role of connectivity and intelligence Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-03-18 Khaleed Fuad, Peiwei Li, Likoebe Maruping, Lars Mathiassen
Most organizations rely on enterprise systems (ES) ecosystems for their operations and development, with ES accounting for 10% of global IT investments. However, a dearth of frameworks exists for e...
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Analysing factors influencing the adoption of blockchain technology in maritime freight enterprises Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-03-13 Suneet Singh, Kaustov Chakraborty, Saurabh Pratap, Manisha Singh, Fuli Zhou
Maritime freight companies are beneficial in carrying the majority of commodities globally. The large number of parties involved makes data exchange hard. Blockchain technology’s potential benefits...
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Simulation system design for critical-node detection and robustness analysis of supply chains Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-03-06 Lixing Wang, Fushang Yao, Zhenning Wu, Runqi Gao
A well-developed manufacturer requires a stable supply chain network that is robust to crises. In this study, a simulation system was developed to build a specialised supply chain model and analyse...
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Blockchain and public service delivery: a lifetime cross-referenced model for e-government Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-02-14 Maxat Kassen
The article presents the results of field studies, analysing the perspectives of blockchain developers on decentralised service delivery and elaborating on unique algorithms for lifetime ledgers to...
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The role of big data analytics for decision-making in projects: uses and challenges Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-02-14 Clément Desgourdes, Jiwat Ram
The utility of big data analytics (BDA) for data-driven decision-making is growing. However, its role in project decision-making remains under-researched though data is used in every phase of proje...
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Strategic responses to market uncertainty: performance value of strategic agility and online-to-offline platform adoption Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-02-12 Yulong Liu, Mian Wu, Kee-Hung Lai, Justin Zuopeng Zhang, Jingna Wang
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...
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Navigating the security landscape of large language models in enterprise information systems Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-02-07 Brij B. Gupta, Akshat Gaurav, Varsha Arya
In this letter, we present a comprehensive analysis of the security landscape surrounding large language models, leveraging a dataset from 2022 to 2023. We delve into the collaborative and global n...
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Understanding enterprise cybersecurity information sharing: a theoretical model and empirical analysis Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-31 Justin Z. Zhang, Lakshmi Goel, Steven Williamson
This research employs an analytical modelling approach, complemented by empirical analysis, to delve into enterprise cybersecurity information sharing strategies. Utilising a thorough cost-based an...
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Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0 Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-31 Y.P. Tsang, Youqing Fan, C.K.M. Lee, H.C.W. Lau
In today’s competitive and volatile e-commerce markets, effective supply chain performance measurement (SCPM) gradually becomes essential for investigating pitfalls and loopholes in strategic vendo...
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A novel Cumulative Indicator score using Indicator averaging for optimizing local business websites of enterprise systems Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-17 Sunil K. Singh, Saksham Gupta, Sudhakar Kumar, Brij B. Gupta, Wadee Alhalabi, Varsha Arya, Justin Zhang
The success of any small-scale business depends on its online presence and visibility. An objective measure for Search Engine Optimisation techniques will help small business adopt effective optimi...
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Supporting digital transformation strategy formulation through a customisable set of objectives: conceptual model and expert opinions Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-16 Ghazaleh Aghakhani, Yves Wautelet, Daan Dijkmans, Samedi Heng, Stephan Poelmans, Manuel Kolp
Setting up a Digital Transformation (DT) strategy is often done ad-hoc without guidance. Supporting frameworks can help. This paper aims to build and validate a conceptual model made of a generic s...
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Eco-performance evaluation of product designs – an integrated fuzzy complex proportional assessment with life cycle assessment Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-10 C. Y. Ng, Kris. M. Y. Law
The growing public awareness has driven enterprises to develop environmentally friendly designs to fulfill customer satisfaction. Some eco-design tools have been introduced to designers to support ...
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An IoT model for supporting global governmental lockdown scenarios: investigating comparative lockdown strategies and assessing generic perception of pandemic response Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-09 Abduallah Gamal, Victor Chang, Nada A. Nabeeh, Mohamed Abdel-Basset
We propose an integrated IoT model to blend IoT technologies, neutrosophic theory and AHP to handle uncertain conditions of real-life situations and aid decision-makers with systematic and optimum ...
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Enhancing blockchain interoperability and intraoperability capabilities in collaborative enterprise-a standardized architecture perspective Enterp. Inf. Syst. (IF 4.4) Pub Date : 2024-01-04 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...
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Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-11-26 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...
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Unveiling the effects of supply chain relationship types on enterprise performance Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-11-14 Ling Li
Over the past two decades, supply chain partnership management and ambidexterity strategies have advanced significantly. However, there remains a lack of understanding regarding the factors influen...
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Enabling interoperable distributed ledger technology with legacy platforms for enterprise digitalization Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-09-15 Bokolo Anthony Jnr
Presently to achieve enterprise digitalization technologies such as Distributed Ledger Technologies (DLT) has now been deployed to support digital services provided by enterprises. But several chal...
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A Stackelberg game framework for resource management in the CloudPoS-Based blockchain network Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-09-14 Chunqiao Tan, Li Zhou, Y.P. Tsang, Chao He, Huijuan Yang
This 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 o...
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BUA: a blockchain-based unlinkable authentication scheme for mobile IoT Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-09-05 Yihong Wen, Mingxi Liu, Xiwen Yang, Tailong Yang, Victor Chang
Mobile IoT, a pioneering IoT facet, enhances data acquisition. Mutual authentication ensures device validity in mobile IoT. Unlinkable authentication needs for mobile IoT data nodes during device v...
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Unleashing the power of social media data in business decision making: an exploratory study Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-09-04 Li Xinwei, Ying Kei Tse, Fernando Fastoso
This study systematically reviews the research on applying social media data (SMD) in business decision-making. We applied bibliometric mapping and a Latent Dirichlet Allocation topic modelling app...
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Recent advances in artificial intelligence for video production system Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-08-17 YuFeng Huang, ShiJuan Lv, Kuo-Kun Tseng, Pin-Jen Tseng, Xin Xie, Regina Fang-Ying Lin
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, e...
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Investigating collision patterns to support autonomous driving safety Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-08-02 Carmen Kar Hang Lee, Eric Ka Ho Leung, Ying Kei Tse, Yu-Chung Tsao
There is a debate on the importance of autonomous vehicles (AVs) and the methods for ensuring AV safety. This paper analyses collision reports to determine the association between risk factors and ...
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The assessment of factors influencing Big data adoption and firm performance: Evidences from emerging economy Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-06-02 Mahak Sharma, Ruchita Gupta, Rajat Sehrawat, Karuna Jain, Amandeep Dhir
The current study investigates and prioritizes 17 determinants of big data adoption (BDA) and establishes causality between these determinants’ and firms’ performance in the tourism and hospitality...
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A mathematical programming model for optimal selection of enterprise growth strategies using fuzzy approach Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-05-27 Yu-Teng Chang
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
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Throughput analysis of frequency-domain contention under realistic conditions for hyperautomation Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-05-04 Li Feng, Qinglin Zhao, Hong Liang, Shuang Gao, Kan Xie, Jian Li, Liangyu Lin, Yuqiang Chen
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 mult
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How blockchain technology hyperautomatically affects corporate performance by green supply chain? Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-05-04 Fei Jiang, Khong Kok Wei, Sin-Pei Ng, Muslim Amin, Halimin Herjanto, Jie Liu
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
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A novel parallel frequent itemset mining algorithm for automatic enterprise Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-05-03 Yimin Mao, Bin Wu, Qianhu Deng, Soroosh Mahmoodi, Zhigang Chen, Yeh-Cheng Chen
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
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An empirical investigation of electronic word-of-mouth: product recall and crisis response strategy in social media Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-04-20 Ruiqing Sun, Ying Kei Tse, Xiaohong Liu
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 compa...
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A system dynamics approach to unlock the complexity of the S&OP in virtual enterprises Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-04-19 Rodrigo Furlan de Assis, Luis Antonio de Santa-Eulalia, Fabiano Armellini, Rosley Anholon, Izabela Simon Rampasso, Fabio Müller Guerrini, Moacir Godinho Filho, William de Paula Ferreira
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 ...
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Point-supervised temporal action localisation based on multi-branch attention Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-04-13 Shuai Liu, Yang Zhang, Gautam Srivastava
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 a...
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A human factor approach to distribution network design for e-commerce in supply chain system: a case study Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-04-12 Afolabi Ogbeyemi, Jethro Odeyemi, Odemadighi Igenewari, Akinola Ogbeyemi
Distribution network for e-commerce is an important supply chain (SC) networks required for effective management of warehousing. Due to the recent disruption in the SC, minimal lead times for produ...
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Analysis of cutting-edge technologies for enterprise information system and management Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-04-06 Brij Bhooshan Gupta, Akshat Gaurav, Prabin Kumar Panigrahi, Varsha Arya
ABSTRACT In the digital age, businesses collect vast amounts of data, but often lack the knowledge and tools to fully utilize it. This paper analyzes current information management practices across different domains and highlights the need for global standards and cutting-edge technologies such as AI, ML, DL, and cloud/edge computing. By examining trends in published research, the study proposes new
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Decentralized federated learning with privacy-preserving for recommendation systems Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-28 Jianlan Guo, Qinglin Zhao, Guangcheng Li, Yuqiang Chen, Chengxue Lao, Li Feng
ABSTRACT Hyperautomation can automate complex business processes, reduce human intervention and improve business operational efficiency. Recommendation systems (RS) facilitate hyperautomation greatly. However, these systems require a large amount of user data to train their machine learning (ML) models and hence user data privacy has received great attention. In this paper, we propose a decentralized
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Parameter estimation of the Lomax distribution using genetic algorithm based on the ranked set samples Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-28 Hasan Huseyin Gul
ABSTRACT Due to the importance of business process automation in industry, hyperautomation and Robotic Process Automation (RPA) attract increasing attention in the scientific field as well. Hyperautomation allows automation to do important tasks performed by business people by merging Artificial Intelligence (AI) technologies with RPA. Lomax distribution has been widely used in engineering science
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New product design and implementation of aboleth: a mobile D&D character creator for enterprise mobile applications and metaverse Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-27 Victor Chang, Dan Lawrence, Le Minh Thao Doan, Ariel Qianwen Xu, Ben S.C. Liu
This paper contributes to rapid prototyping for Aboleth, a mobile application designed as a virtual character sheet for Dungeons and Dragons 5th edition. We propose augmenting an API framework, inc...
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Cybersecurity for children: an investigation into the application of social media Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-15 Victor Chang, Lewis Golightly, Qianwen Ariel Xu, Thanaporn Boonmee, Ben S. Liu
The paper discusses cybersecurity for children (particularly teenagers) and focuses on Social Media’s impact using a theoretical approach. Many social media users are unaware of their Cybersecurity...
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A hyperautomative human behaviour recognition algorithm based on improved residual network Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-14 Jianxin Li, Jie Liu, Chao Li, Fei Jiang, Jinyu Huang, Shanshan Ji, Yang Liu
ABSTRACT When dealing with the mutual storage relationship of behavioral features in long time sequence video, the convolutional neural network is easy to miss important feature information. To solve the above problems, this paper proposes a super automatic algorithm combining nonlocal convolution and three-dimensional convolution neural network. The algorithm uses sparse sampling to segment the long
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Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-10 Prakash Mohan, S. Neelakandan, Abbas Mardani, Sudhanshu Maurya, N. Arulkumar, K. Thangaraj
ABSTRACT Hyper automation is the group of approaches and software companies utilised to automate manual procedures. Financial Technology (FinTech) was processed as a distinctive classification that highly inspects the financial technology sector from a broader group of functions for enterprises with utilise of Information Technology (IT) application. Financial crisis prediction (FCP) is the most essential
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A novel scheduling method for reduction of both waiting time and travel time of patients to visit health care units in the case of mobile communication Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-03-06 Wenjun Lin, Paul Babyn, Yan yan, Wenjun Zhang
This paper proposes a new scheduling problem for patient visits with two objectives: minimizing patient waiting time and travel time. It also presents a novel encoding method for Genetic Algorithms...
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An evolutionary-based approach for optimising diverse group stock portfolio with active and inactive stocks Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-02-28 Chun-Hao Chen, Cheng-Yu Lu, Rui-Dong Chiang, Gautam Srivastava, Jerry Chun-Wei Lin
ABSTRACT When a stock portfolio is suggested to inventors, they may need a mechanism to replace stocks when their future prospects are pessimistic. However, existing approaches only consider all assets to find a diverse group stock portfolio (DGSP), which may suffer massive losses as a result. In this paper, an intelligent optimisation algorithm is proposed to obtain a more profitable DGSP with active
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Satisfied railway flow route problem integrated with ideal route and real trajectory information Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-02-27 Feng Xiao, Shiwei He, Rui Song, Sohail S. Chaudhry
ABSTRACT Transportation enterprises have started to pay more attention to the vast amount of historical operational data. In this paper, real route information is extracted from the freight car trajectory data and a satisfied route is proposed based on this information. The satisfied route not only can reduce the travel cost but also conform to the actual transportation situation. A solution framework
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Blockchain-enabled authentication platform for the protection of 3D printing intellectual property: a conceptual framework study Enterp. Inf. Syst. (IF 4.4) Pub Date : 2023-02-23 Hing Kai Chan, Min Guo, Fangli Zeng, Ying Chen, Tian Xiao, James Griffin
ABSTRACT 3D printing (3DP) has enjoyed rapid growth yet has also prompted ethical and social concerns. For example, the ability to print unethical objects and intellectual property (IP) infringement. This paper follows the dual-cycle information system design model and implements a multi-method to propose a blockchain-enabled digital platform solution to protect 3DP digital assets’ IP. It combines
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Malware detection for IoT devices using hybrid system of whitelist and machine learning based on lightweight flow data Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-11-09 Masataka Nakahara, Norihiro Okui, Yasuaki Kobayashi, Yutaka Miyake, Ayumu Kubota
ABSTRACT For the security of IoT devices, the number and type of devices are generally large, so it is important to collect data efficiently and detect threats in a lightweight way. In this paper, we propose the architecture for malware detection, a method to detect malware using flow information, and a method to decrease the amount of transmission data between the servers in this architecture. We
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Blockchain technology in industry 4.0 Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-11-01 Ling Li
Published in Enterprise Information Systems (Vol. 16, No. 12, 2022)
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AI-enabled IoT penetration testing: state-of-the-art and research challenges Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-10-10 Claudia Greco, Giancarlo Fortino, Bruno Crispo, Kim-Kwang Raymond Choo
ABSTRACT Internet of Things (IoT) is gaining importance as its applications are found in many critical infrastructure sectors (e.g., Industry 4.0, healthcare, transportation, and commercial facilities). This reinforces the importance of investigating the security risks associated with IoT deployment. Hence, in this paper, we perform a comprehensive review of the literature on penetration testing of
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Job satisfaction and turnover decision of employees in the Internet sector in the US Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-10-07 Victor Chang, Yeqing Mou, Qianwen Ariel Xu, Yue Xu
ABSTRACT This paper proposes that high value on the work-life balance, compensation, career opportunity and fitness of culture and management style would improve job satisfaction. A turnover risk prediction model based on the random forest is constructed to understand the turnover risk feature and identify risk. Using a sample of 17,724 online reviews of employees from Glassdoor, the positive effect
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Customer opinions mining through social media: insights from sustainability fraud crisis - Volkswagen emissions scandal Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-10-05 Juling Ding, Mao Xu, Ying Kei Tse, Kuo-Yi Lin, Minhao Zhang
ABSTRACT Social media has emerged as a vital tool to advance two-way communication between companies and customers. This paper uses 29,764 tweets to investigate a sustainability fraud crisis, the Volkswagen emissions scandal. We provide a Tweet Analytic Framework comprising three approaches: cluster analysis, sentiment analysis, and time series analysis. This paper explores public opinions regarding
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Privacy protection against attack scenario of federated learning using internet of things Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-07-29 Kusum Yadav, Elham Kariri, Shoayee Dlaim Alotaibi, Wattana Viriyasitavat, Gaurav Dhiman, Amandeep Kaur
ABSTRACT Laws and regulations for privacy protection have been promulgated one after another, and the phenomenon of data islands has become a significant bottleneck hindering the development of big data and artificial intelligence technologies. From the perspective of the historical development, concepts, and architecture classification of federated learning, the technical advantages of federated learning
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Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-07-26 Khalid A. Eldrandaly, Mohamed Abdel-Basset, Mahmoud Ibrahim, Nabil M. Abdel-Aziz
ABSTRACT Explainable artificial intelligence (XAI) is an evolving discipline that mainly emphasises unboxing in these Black-Boxes. This study provides in-depth review of XAI literature together with a new taxonomy of categorising XAI methods. Moreover, the security of Deep learning (DL) against different attacks turned to be a critical concern for both industry and academia. This study presents a taxonomic
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Does user satisfaction affect employee well-being? An exploratory investigation at the onward and upward stage of enterprise system experience cycle Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-07-15 Linying Dong, Sameh Al Natour, Ugonna Omeziri, Ozgur Turetken
ABSTRACT The existing literature pays little attention to the onward and upward stage, the final stage of an ES life cycle where system enhancement and integration cause permanent changes in employees’ work and profoundly impact their well-being. Drawing from the Enterprise System Experience Cycle Framework and human resource management literature, we have proposed, and examined through the survey
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Blockchain-based traceability system for supply chain: potentials, gaps, applicability and adoption game Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-06-13 Shiying Ni, Xiwen Bai, Yuchen Liang, Zhibo Pang, Lefei Li
ABSTRACT There are hypes towards blockchain-based traceability systems (BCTS) both from academia and industry. This paper discusses challenges and policy recommendations for BCTS from a viewpoint of industrial application and market competition. First, the potentials of BCTS and the gaps between the ideal and the reality of BCTS are elaborated. Second, we discuss the applicability of BCTS. Third, by
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Affordances in blockchain-based financial recommendations concerned with life events and personalities Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-06-01 Ildikó Szabó, Katalin Ternai, Szabina Fodor
ABSTRACT Blockchain technology creates the possibility for developing knowledge-intensive goods. Only a few studies in Affordance theory deal with investigating blockchain. This paper aims to discover affordances in blockchain when designing an AI-based financial recommendation system as a decision support system. The design thinking methodology was extended with machine learning and business process
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Artificial intelligence-enabled enterprise information systems Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-05-05 Milan Zdravković, Hervé Panetto
(2022). Artificial intelligence-enabled enterprise information systems. Enterprise Information Systems: Vol. 16, Artificial Intelligence-enabled Enterprise Information Systems, 1973570.
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Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-05-03 Shijia Wang, Xuan Liu, Ming Gao, Mingxia Chen, Kai Leung Yung, Shancheng Jiang
ABSTRACT A novel multi-objective (cost, delay, and reliability) auto-scaling optimisation model is proposed for micro-service workflows in containerised hybrid clouds. We compare the container-based model with VM-based model and conclude that the former significantly supersedes. The benchmark of three mainstream algorithms is conducted by the Hypervolume metric, showed that the performance of MOEA/D
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Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-04-24 Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen
ABSTRACT Computing dataset statistics is crucial for exploring their structure, however, it becomes challenging for large-scale datasets. This has several key benefits, such as link target identification, vocabulary reuse, quality analysis, big data analytics, and coverage analysis. In this paper, we present the first attempt of developing a distributed approach (OWLStats) for collecting comprehensive
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Research on the influence mechanism of anchors’ professionalism on consumers’ impulse buying intention in the livestream shopping scenario Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-04-17 Xiaohan Liu, Donghan Wang, Meng Gu, Jiajia Yang
ABSTRACT For the emerging marketing mode of livestream shopping, this study constructed a model to empirically analyze how anchors’ professionalism affects consumers' impulse buying intention. The results have shown that professional level of anchors is positively correlated with the impulse buying intention of consumers and a sense of presence partially plays an intermediary role in the interaction
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IT assimilation: construct, measurement, and implications in cybersecurity Enterp. Inf. Syst. (IF 4.4) Pub Date : 2022-03-16 Lakshmi Goel, Justin Zuopeng Zhang, Steven Williamson
ABSTRACT Unintentional employee behaviours can be a major cause of security breaches. To mitigate the risk, employees need to habituate their new behaviours, implying a transfer of learning that may occur at ‘work’ to ‘personal’ contexts. Against this backdrop, we examine a new construct – IT Assimilation – grounded in situated learning theory by its definition as the incorporation of enterprise IT