ABSTRACT This paper considers Enterprise Information Systems functional architecture and carries out review of AI applications integrated in Customer Relationship Management, Supply Chain Management, Inventory and logistics, Production Planning and Scheduling, Finance and accounting, Product Lifecycle Management and Human Resources, with special attention to the manufacturing enterprises. Enhanced

ABSTRACT In modern cyber-physical systems, there is a high degree of connectivity that is imperative to satisfy the Four Industrial Revolution paradigm (Industry 4.0). While creating new systems according to the Industry 4.0, there are several protocols and solutions that can be applied. However, the introduction of Industry 4.0 to the existing industrial systems is not so straightforward. One point

ABSTRACT This paper proposes an equilibrium optimiser of interswarm interactive learning strategy to plan the shortest flight path of drones. This paper divide the population into a learning swarm and a learned swarm. When the global best fitness value does not change in consecutive k generations, interswarm interactive learning behaviour is triggered. In addition, this paper also proposes a global

ABSTRACT Electronic word-of-mouth (eWOM) and reputation are crucial in the online buying marketplace, because negative WOM can easily spread very quickly. Businesses are investing a lot in consolidating customer relationships in order to improve their services and eliminate negative eWOM. So far, many studies have been carried out on the issue of eWOM, with some scholars proposing the concept of Webcare

ABSTRACT In this paper, we investigate cyber breaches and their effects on small and medium enterprises (SMEs), considering the role that cybersecurity plays in SMEs, and the importance that SMEs have in the economy. Using the Cyber Security Breaches Survey data, the first contribution extends previous works confirming that SMEs receive a wide variety of breaches. Secondly, we have characterized the

ABSTRACT The competitive preference of a retailer is an important factor for closed-loop supply chains (CLSCs), which have not been explicitly investigated by existing studies. This paper specifically considers the retailer’s competitive preference and examines decisions with regard to three CLSC channel structures—the manufacturer recycling channel (M-channel), the retailer recycling channel (R-channel)

ABSTRACT To operate more efficiently and sustainably, logistics service providers (LSPs) adopt collaborative approaches. Digitalisation present opportunities to realise such approaches and solve the related issues. In this perspective, we conducted taxonomic literature based on Zachman framework to obtain a holistic view from which we develop a digital platform for supporting horizontal collaboration

ABSTRACT The financial system plays key roles in our society by performing its functions like risk-sharing and information transferring etc. A domain modelling framework of the financial system is proposed using a general domain modelling tool, called function-context-behaviour-principle-state-structure (FCBPSS), which is based on a set of core concepts as well as system decomposition. Domain modelling

ABSTRACT Person re-identification (Re-ID) can determine whether a pedestrian target can be matched across diverse regions or cameras, thereby alleviating the problem between massive surveillance data and inefficient manual retrieval. Inspired by attribute-person recognition (APR) network, this paper proposes an improved Re-ID method based on attribute learning, which uses an attribute-guided attention

ABSTRACT The phenomenon of cooperative advertising in the market has always been widespread. Considering a supply chain consisting of one manufacturer and multiple retailers with competitive relationships, we explore advertising strategies for deteriorating items when market demand is affected by reference price. By establishing a differential game model, the equilibrium advertising strategies and

ABSTRACT With the advent of mobile applications in health service systems, concerns such as security, privacy, usability, and resilience have been raised. We developed a system view of the concepts of security, privacy, resilience along with their relationship, and proposed a set of principles for designing a mobile application linking the resilience and security in privacy protection. Such study was

ABSTRACT Yang et al. (2020) find that intelligent manufacturing has asignificant promoting effect on enterprise innovation, but the effect mechanism is still ablack box to be opened. To investigate the role of organisational learning in intelligent manufacturing and enterprise innovation, this study uses the public data of listed enterprises in China’s manufacturing industry to conduct research using

ABSTRACT Many users fail to stick to the use of mobile fitness apps. As a key element of gamification mechanisms, effective gamification narrative design has the potential to draw the users in and motivates them to develop stronger motivations to achieve their real-world goals and higher persistent usage intentions of the mobile fitness App. Underpinned by goal priming theory, we conducted two controlled

ABSTRACT By taking China’s high-speed railway (HSR) network construction as a quasi-natural experiment, this paper uses the trend score matching and double difference methods to analyse the industrial structure transformation industrial intelligence development of the Chinese prefectural cities under the influence of the policy for HSR from 2006 to 2018. The research shows that the urban high-speed

ABSTRACT Blockchain, as a decentralized platform and distributed ledger database, will promote the centralized system to form a comprehensive ecosystem. A systematic review of blockchain research on information systems during the five-year period from 2016 to 2020 selected 46 papers from 16 leading journals. This paper introduces the technological characteristics and implementation models, highlighting

ABSTRACT When it comes to asset allocation and portfolio management, Kelly criterion is a mathematical formula used to optimise expected log-returns over the long term. Nonetheless, not all stocks are well suited for analysis using Kelly criterion, due to their transient nature and noisy data. This paper presents an innovative index by which to assess the suitability of stocks for analysis using the

ABSTRACT The number of service offerings in cloud manufacturing continues to grow, so that service level agreement (SLA) within cloud manufacturing is increasingly used to ensure the coordination of the cross-organisational business processes between the cloud service providers (CSP) and cloud service consumers (CSC). The definition of SLA and monitoring SLA’s performance are significant and should

ABSTRACT Big data analytics capability (BDAC) is a firm's ability to leverage big data for business value generation. Firms focus either on ‘functional fitness’ by ‘doing the things right’, or ‘evolutionary fitness’ by ‘doing the right things. Extant literature shows inconsistency in BDAC dimensions and lacks an integrative framework that addresses both functional and evolutionary fitness. We address

ABSTRACT Integration of diverse technologies fuels business-model transformation, evolving new applications. Industry 4.0 utilizes emerging-technologies like IoT, AI to make next-generation manufacturing-processes more efficient and agile. Cyber physical systems (CPS) augmented with social, thinking technologies effectuate cyber physical social thinking systems (CPST). Distributed Ledger Technologies

ABSTRACT This paper discusses an investment problem by establishing a cost minimization model for an electric power enterprise. Two potentially investable energy sources are suggested: renewable and new conventional energy, and expected supply level in a coming period is assumed. Features of integrated power market are considered: the merit order effect, carbon emissions intensity, intermittency of

ABSTRACT This paper develops an integrated model of ERP success that links contextual variables of the organisation with the critical implementation decisions affecting the managerial and technical execution of the project, leading to tactical and strategic measures of ERP success. Three implementation cases are analysed to explore the importance of unique contextual variables in guiding key decisions

ABSTRACT System framework is for adopting additive manufacturing (AM) in a mass production line where AM processes are integrated to customize protective parts for manual tools that are found to cause damages of products. The system ensures AM processes are adopted to meet the requirements of functionalities, reliability, line balancing, and the production rate like other conventional processes. The

ABSTRACT Process mining is an active research area that provides a wide range of automated process discovery, conformance checking and process enhancement solutions by extracting process information from event logs. With the emerge of new shared economy models and system architectures, monolithic perspective of process mining, i.e. a single process within a single organisation, is evolved towards

ABSTRACT Aiming at the problem of data classification in enterprise cloud data, this article proposes a data classifier based on Particle Swarm Optimisation and Kernel Function Extreme Learning Machine (PSO-KELM) is proposed. PSO is utilised to get optimal parameters and the parameters of KELM are obtained accurately, which improves the accuracy of data classification. Through the cloud data test and

ABSTRACT With the prevalence of social media that promote interactivity among people, more organisations rely on Key Opinion Leader (KOL) to interact with potential customers in various social media for brand building. This study explores how KOL’s characteristics affect the KOL effectiveness and the outcome of brand image building of skincare products. We also examine the contingent conditions when

ABSTRACT Privacy protection to medical & healthcare data is one of the bottleneck problems in Internet information fusion. In order to balance data processing capability with privacy concerns, a distributed dynamic authorisation method based on blockchain is proposed to realise trustworthy data access. URLs (Universal Resource Locator) are included in the authorisation information to indicate the data

ABSTRACT Based on Gaussian distribution, a method for modelling targets is proposed. The trajectories of infrared targets are predicted by Kalman filtering. The Munkres version of the Hungarian algorithm is utilized to find the optimum assignment between the trajectories and the positions of real targets. Finally, based on the open dataset, we prove that the proposed algorithm is able to find and track

ABSTRACT Learning from success projects to build business process for customer requirements change is critical successful factor for other project in IoT enterprise systems. We proposed an ontology-based technology to mine the core knowledge of successful projects. From precious experiences of each successful projects, two ways of ontology-based domain knowledge pattern will be defined, first is for

ABSTRACT The present study aimed to analyse the main risks related to security and privacy of social networks based information systems in Industry 4.0. The methodology we used is an innovative exploratory data-driven process divided into three steps. First, we performed sentiment analysis to divide the database composed of 67, 206 tweets into feelings. Second, we applied a topic-modelling algorithm

ABSTRACT The purpose of this study is evaluating new decision factors which affecting users’ behaviour intention and actual usage towards e-banking. In this research, the TOE framework is integrated with TAM theory as the novelty to fill up the hole of TAM theory and past researches. The proposed Model is tested in an Iranian bank. Partial least squares is applied to examine inter-correlations among

ABSTRACT This paper investigates the mechanisms for integrating an analytic artefact with Manufacturing Execution System (MES), by constructing and deploying an artefact within two manufacturing sites. The findings indicate that analytic artefacts, unlike EIS or IT integrations, can be constructed based on a business problem and do not have to address specific factors such as IT-systems, process, people

(2021). Security, privacy and forensics in the enterprise information systems. Enterprise Information Systems: Vol. 15, Security, privacy and forensics in the enterprise information, pp. 445-447.

ABSTRACT Phishing is an identity theft, which deceives Internet users into revealing their sensitive data, e.g., login information, credit/debit card details, and so on. Researchers have developed various anti-phishing methods in recent years. However, the problem still exists. Therefore, this paper presents a detailed analysis of phishing attack methods and defense techniques. This survey is presented

ABSTRACT The production execution system is designed and constructed to achieve intelligent inspection of product quality and information management of energy conservation and emission reduction in intelligent factories. In this study, big data and business intelligence (BI) data are applied to analyse and standardise the production process, and a low-carbon economic visualisation platform is designed

ABSTRACT Customer review data on the JD.com (https://www.jd.com) is collected in this paper, and the text mining methods are employed to study the customer perceived value (CPV) of customised products under social commerce, trying to add to the understanding of why certain customisation programmes are successful while others fail. The results show that the CPV of online customisation products in China

ABSTRACT Information diffusion is an important branch of online social network analysis. In this paper, we construct a new metric, the proportion of leaf nodes in a diffusion tree (L-metric), to quantify information diffusion patterns, and we study the impact of the network category and information content on these patterns. Simulation-based experimental studies of real-world social networks show that

ABSTRACT Despite the rapid development of online charitable giving (OCG), there are few empirical studies on the motivations of OCG. This study examines two typical types of motivations (i.e., altruism and social motives). We build a model by combining the elaboration likelihood model (ELM) of persuasion with social influence theory. Using a dataset of 13,119 projects from Weibo Charity, a leading

ABSTRACT In a complex innovative project, an organisation is often not able to manage all aspects alone, due to the lack of all required competencies, skills or resources. Hence, alliance formation can be a solution. To decrease the risk of potential collaboration inefficiency, partner selection happens among firms before collaboration starts. This paper proposes hypotheses based on a systematic literature

ABSTRACT The revolution in the digital economy is forcing the manufacturing industry to develop new business models to achieve operational excellence. Vendor Management Inventory (VMI) is a key measure, aimed at increasing supply chain efficiency and mitigating the bullwhip effects on the Internet of Things (IoT). The problems encountered by the manufacturing supplier are the difficulty of obtaining

ABSTRACT In this work, we propose a framework to assess the many cloud services based on the QoS criteria value in fuzzy environment. Here, we uses the Fuzzy-AHP method to define the architecture of overall cloud service selection process and calculate the weights of QoS criteria. These calculated criteria weight are utilised with TOPSIS method to evaluate the final rank of cloud service based on their

ABSTRACT Human-related errors are the major causes of most accidents in construction industry, and Human Factors Analysis and Classification System (HFACS) is widely used to analyze and prevent these accidents. However, traditional HFACS models are usually conducted post-accident and neglect personalized accident causal factors that reflect the safety state of individuals more directly and varies in

ABSTRACT These days, fog-cloud based healthcare application partitioning techniques have been growing progressively. However, existing static fog-cloud based application partitioning methods are static and cannot adopt dynamic changes in the dynamic environment (e.g., where network and computing nodes have resource value variation) during the execution process. This study devises a Deep Neural Networks

ABSTRACT Supplier selection criteria normally reflect elements of the supplier’s value proposition or the supplier firm itself. These elements ultimately represent a supplier firm’s promise to the buyer firm. While a plethora of decision-making models exist, none focus on the most important question of all: ‘can I trust you?’. This paper begins with a structured literature review to develop an encompassing

ABSTRACT This study aims to incorporate the application of RS technology with management strategies and proposes the Remote Sensing Knowledge-Based Decision Support System (RS-KBDSS) framework. It is not only focusing on considering RS technology for discussing the accuracy of estimation but also conducting strategic thinking that is needed for keeping the inventory and monitoring task running by obtaining

ABSTRACT In image processing applications, we face the challenges of substantial computational requirements for calculating the objective function and requires considerably long optimisation time. In this paper, an operator named the pre-check operator (PCO) was proposed to reduce the whole optimization time. By integrating PCO with a standard genetic algorithm with elitist strategy (EGA), a new framework

(2021). Cloud services, storage and communications at large scale for reliable enterprise systems. Enterprise Information Systems: Vol. 15, Enterprise Cloud Service for Data Storage Systems, pp. 131-132.

ABSTRACT This study aimed to identify and prioritise critical success factors (CSFs) for improving supply chain quality management (SCQM) under the context of Industry 4.0. We identified five potential factors from the literature and through semi-structured interviews of five individuals in different company positions and departments. 132 valid questionnaires were used to measure the factors with the

ABSTRACT The platform screen door system related to the safety of passengers, vehicle and station operation in rail transit is the research object. Relay, the key component of the PSD system, is selected as the breakthrough point, and the number of pull-in is used as the evaluation index of the service life of the relay. The precise and complex mapping between the influencing factors of the relay (coil

ABSTRACT Drawing upon a social media perspective, this study explores the phenomenon of opportunistic behaviour in supply chain finance (SCF). Based on research into the factors that drive opportunistic behaviour in the context of SCF and the associated effects, this study conceptualises and empirically examines a research model by leveraging social media data related to the ‘Noah event’. The data

ABSTRACT Most decision-supports methods are dedicated to the identification and characterization of risks and opportunities. The concrete exploitation of these risks and opportunities is generally depending on the ability of users to analyze multi-dimensional situations, to mobilize their experience and to foresee consequences. In this article, a new and original data science-based vision of risk and

ABSTRACT In this paper, we propose a hypothesis that the facial landmark detection methods constructed by a private UPFP facial dataset can perform better than the model on a healthy facial dataset in the task of UPFP facial landmark detection. For proving this hypothesis, a customized UPFP facial dataset with 68 facial landmark annotations was built. A state-of-the-art facial landmark detection method

ABSTARACT Business Intelligence (BI) is known to make smart decisions in various fields. BI proves beneficial for better-visualising of data through reports, charts, ad-hoc queries, dashboards, and benchmarks. Choosing the appropriate BI tools for an organisation may result in higher profit margins. BI tools are usually self-efficient and have a wide scope for data analysis. Furthermore, BI tools can

ABSTRACT Traditional product development frameworks were developed decades ago, lacking the utilization of big data technology and model-based systems engineering (MBSE) theory. This paper proposes a data and model-based triple V framework based on the traditional V framework and double V framework, covering lifecycles of the product, model, and data. By mapping the Harmony methodology and adding data

ABSTRACT Under the catalysis of knowledge anxiety and cognitive surplus, knowledge payment has developed rapidly. However, coordinating the relationship between knowledge demanders and knowledge providers and maintaining the benefits of the platform itself remains the focus of knowledge payment platforms. This paper constructs a tripartite game modeland analyzes the relationship among knowledge demanders

ABSTRACT In this work, we exploit a classifier based on convolutional neural network to predict users’ interests regarding products and services, according to their publications in social media. We aim at designing a customizable recommendation system to target social networks’ users as potential buyers. We evaluate the performance of training algorithms that use adaptive learning. The evaluation is

ABSTRACT Fuel consumption for transport activities should be as low as possible for ecological and economic reasons. This said, there is no transparency as to which truck model behaves better for a given route and weight. Existing physical models are trained using only specific reference driving cycles. This contribution proposes to use real data from telematics systems in order to extract differences

ABSTRACT A value-based view (VBV) of a firm’s supply chain enabled by Data Analytics (DA) is discussed based on two complementary views of customer-centric focus orientation (CCFO) and strategic supplier partnership (SSP) development. A theoretical model for the firm’s VBV is developed and empirically tested. The research model posits that by deploying DA appropriately, an SSP creates value when informed

ABSTRACT Social media has been engulfed with one burning epidemic – the Coronavirus impacting both the society and businesses. This study examines the impact of social media opinions through a multi-channel social media approach encompassing Twitter, Facebook and YouTube from February 10th to March 10th, 2020. A country-wise analysis is performed for both major developed and developing economies, like

ABSTRACT Compilation of users’ avatars together with associated online activities strengthens the ability to discover user connections which focuses on understanding users online behaviours. This paper made an initial attempt to identify special type of SNS users by incorporating users avatar information, which proposes a multi-modal user profiling method that examines the relationship between users’

ABSTRACT Blockchain is distributed digital ledger technology that facilitates reliable and transparent transactions among the participants of a system. Blockchain has been applied to various manufacturing applications and helps to create an automatic, decentralised smart manufacturing system with a high level of efficiency and productivity. This paper presents a comprehensive survey on blockchain in