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

ABSTRACT This study aims to investigate patient’s behaviour towards the adoption of telemedicine health services with the integration of three well-Known theories, namely, unified theory of acceptance and use of technology (UTAUT), the protection motivation theory (PMT) and DeLone & McLean information success model. The results of structural equation modeling indicate that altogether UTAUT, PMT and

ABSTRACT In this study, expecting to form a virtuous circle conducive to socio-economic development. The problems of environmental cost control mode, and the relationship between the value chain and environmental cost control was discussed. The decision tree algorithm of artificial intelligence (AI) was applied in designing the environmental cost control system of manufacturing enterprises to realise

ABSTRACT Agricultural machinery manufacturing enterprises are the backbone forces of improving competitiveness of the agricultural machinery industry and the development of the regional economy. Therefore, exploring the energy consumption and sustainable development paths for the traditional agricultural machinery manufacturing enterprises in the manufacturing process in China has an important practical

ABSTRACT This article reports on a study of an online system for supporting professional learning within higher education. The system was developed through an iterative user-centred design process to ensure that it supported the needs of academics. Results indicated there were a number of practice-related factors that emerged from within the user’s environment that triggered micro challenges at the

ABSTRACT Rapid retrieval of differentiated name data and efficient storage of information is essential in intelligent image processing information systems. In order to meet the requirements and challenges of rapid retrieval of differentiated name data and efficient storage of image information under different application scenarios of pending interest table (PIT) of named data network, a learning PIT

ABSTRACT Internet of Things (IoT) empowered Heating, Ventilation, and Air Conditioning (HVAC) buildings are considered to monitor and control the regulation of thermostats, sensors, actuators, and control devices smartly. In this article, we propose a novel model named PersonalisedComfort to predict the thermal sensation votes of individuals living in a building. We use publicly available standard

(2020). Cognitive computing for big data systems over internet of things for enterprise information systems. Enterprise Information Systems: Vol. 14, Cognitive Computing for Big Data Systems over Internet of Things for Enterprise Information Systems, pp. 1233-1237.

ABSTRACT This paper aims to explore Key Influencing Factors (KIFs) from the perspective of national ERP vendors throughout pre-implementation and during implementation of ERP projects. We conducted a mixed methods study on 10 national ERP vendors involved in government sector projects in Saudi Arabia. KIFs were identified through in-depth interviews and prioritised using a multi-criteria decision analysis

ABSTRACT Although BIM has been widely adopted in the past decade, multi-domain collaboration through BIM is still a struggle, involving different barriers such as trade-specific semantic definitions, data-schemas heterogeneousness and low levels of digital cooperation in AEC. After a brief review of existing solutions in the field and in the literature, the present paper suggests a query-based framework

ABSTRACT Current Self-Adaptive Systems (SASs) such as Autonomous Vehicles (AVs) are systems able to deal with highly complex contexts. However, due to the use of static feedback loops they are not able to respond to unanticipated situations such as sensor faults. Previously, we have proposed HAFLoop (Highly Adaptive Feedback control Loop), an architecture for adaptive loops in SASs. In this paper,

ABSTRACT Most of today's software development projects depend on the usage of existing solutions to save time and development costs. We target in this research work the design of a software capability profile that provides a broader view of an organization’s software, along with an exploitation model in line with requirements engineering and enterprise architecture to fill the gap between the goals

ABSTRACT Smart enterprises establish symbiotic relationship and promote symbiosis among entrepreneurs by incorporating their own needs and working with other smart enterprises to explore entrepreneurial opportunities, striving to further develop the entrepreneurial ecosystem, especially the influence of internet technology and smart specialization,On the one hand, this study provides reference for

ABSTRACT Student recruitment and retention heavily depend on student satisfaction and word of mouth voiced through surveys, social media, and review websites. The amount of online reviews makes their manual analysis intractable, revealing the need for automated approaches. The paper presents the first Serbian language corpus manually annotated for opinions in the domain of higher education. Agreement

(2020). Interoperability enablers for cyber-physical enterprise systems. Enterprise Information Systems: Vol. 14, Special Issue on: Interoperability Enablers for Cyber-Physical Enterprise Systems, pp. 1061-1070.

ABSTRACT Social media (SM) platforms greatly facilitate business information sharing, customer relationship building, and client emotion expression. However, managing knowledge acquired from SM messages is challenged by limited human cognitive capability. This paper describes a computational framework for developing intelligent SM-based business analytics and visualization. The research developed a

ABSTRACT In most small manufacturing enterprise (SME), production planning and scheduling are crucial operational management tasks required. A typical make-to-order company is plagued by frequent absenteeism and abrupt resignation of skilled workers, leading to an increase in late delivery of jobs and rework of returned jobs. The effects of some human factors, for example, job skill, job satisfaction

ABSTRACT The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among

ABSTRACT Software module clustering approaches can provide a better understanding of large and complex software systems through decomposing the enterprise resources into classified modules which are smaller, and therefore easier-to-handle. As the dimensions and complexity of enterprise software projects are continuously increasing, handling a large software project is going to be more challenging.

ABSTRACT Fake information in social media frequently causes social issues. The amount of fake information is smaller than that of real information, this leads to class imbalance. Some improved classification methods and metrics to resolve the imbalance and evaluate model performance have been proposed, respectively. However, the existing metrics for classification methods have many limitations. This

ABSTRACT Enterprises are surviving in a digital transitioning society, where the creation of strategic alliances is one important result of this constant change during the coronavirus 2019 (COVID-19) pandemic. A medium of conducting business where organizations can share their main capabilities in order to strive in a pandemic is the creation of Virtual Enterprises (VE). But despite increasing research

ABSTRACT Vendor Managed Inventory (VMI) is adopted to improve the efficiency of overall supply chain. Research shows that asymmetric information might cause supply chain inefficiency. This study looks at how VMI supply chain coordination can be achieved in an asymmetric information environment. We propose a commitment penalty contract to improve the performance of a VMI supply chain where the manufacturer

Vulnerability prediction facilitates the development of secure software, as it enables the identification and mitigation of security risks early enough in the software development lifecycle. Although several factors have been studied for their ability to indicate software security risk, very limited attention has been given to technical debt (TD), despite its potential relevance to software security

With the advancement of AI and the widespread application of IoT and cloud computing, the pick-and-pass system (PKPS) can potentially be transformed into a cyber-physical system (CPS) based intelligent warehouse picking system. This paper proposes a CPS-based PKPS with a heuristic multi-objective genetic algorithm to solve the NP-hard storage assignment problem (SAP) for order picking operations in

This paper proposes IoT-based an enterprise health information system called IoTPulse to predict alcohol addiction providing real-time data using machine-learning in fog computing environment. We used data from 300 alcohol addicts from Punjab (India) as a case study to train machine-learning models. The performance of IoTPulse is compared against existing work using various parameters including accuracy

In recent times, location recommendation has received significant attention from the researchers due to emerging utilisation of Location Based Social Networks in the prediction process. In this paper, we present a new multi-agent based framework to generate better-personalised location recommendations. We address the personalisation problem through the dynamic user profile that incorporates the user’s

Shipping in ports with unbalanced export and import volumes will have problems of excess as well as shortage of empty containers at the decentralised yards. In this research, through the cost estimation model of container dispatching, the total empty container dispatching cost is calculated in order to avoid any shortage of containers. This paper proposes an intelligent empty container dispatching

Based on an agent model combined with complex network analysis, this paper investigates the effects of different leadership styles and network structures on organisational learning in online work knowledge community (OWKC). The paper further examines other factors related to the relationship between leadership style and organisational learning, such as environmental change and personnel turnover in

In order to improve the efficiency and security of multi-copy dynamic cloud data audit, a multi-copy dynamic cloud data auditing model (MCAM) based on IMB tree is proposed. The IMB tree makes the audit process fast and efficient while maintaining security. Multi-copy compression transmission with masking rate is introduced to better reduce migration time. The theoretical analysis shows that MCAM can

The recent growth in digital technologies are enabling cities to undergo transformations for streamlining smart services and offering new products. Digitization has changed the way citizens and stakeholders live, work, collaborate, and communicate. This disruptive change inter-connects with all information systems and processes that are important for providing services. Although, digital transformation

This paper investigates the impact of privacy concerns on customers’ purchasing decisions and service providers’ pricing strategies in Smart-X systems. We develop profit maximisation models to test purchasing decisions and pricing strategies of advanced and basic services in monopoly and competitive markets. We find customers’ privacy costs and service differentiation determine each service provider’s

(2020). Correction. Enterprise Information Systems. Ahead of Print.

The purpose of this paper is to verify the impact of financial news on corporate credit risk. Web crawler technology is used to obtain the financial news text from Sina Financial News. The text mining technology is utilized to quantify the financial news text. The quantified financial news text combined with financial indicators is used to build the Logistic regression model. The assessment results

Information security has become an important subject in the artificial intelligence filed to handle big data. Most of the systems aim at obstacle detection on ordinary roads. In this paper, we proposed a method for detecting obstacles in a field environment based on convolutional neural network (CNN). Firstly, we propose a region of interest (ROI) extraction algorithm to deal with the suspected obstacle

The probability of occurrence, occurrence time and holding time make the estimation of the multiresource, multidimensional, transmissible and dynamic characteristics of supply-chain risk more valuable to achieving the goal of risk assessment. A dynamic Bayesian network model of supply-chain risk is constructed to describe the property of supply-chain risk; the Bayesian inference tool is then used to

Supply chains now cope with a lot of uncertainties, and their stakeholders are intensely interconnected, revealing new opportunities at a tremendous pace. In this context, companies must rethink their decision support systems to remain competitive. Particularly strategic supply chain capacity planning systems that should ensure resource availability. Unfortunately, existing systems do not satisfactorily

The aim of this paper is to describe a solution suitable for the automation of standard pollen information service (EN 16868:2019). We are describing the RealForAll integrated information system developed for automatic airborne pollen detection and real-time data delivery to end-users. This solution is based on the measurements from the Rapid-E airborne particle monitor. The system incorporates an

This paper proposes a method for knowledge-based document assembly. A document assembly system is implemented as a proof of concept with service contracts as a sample document type. In comparison to related research, the method presented in this paper uses an explicit formulation of legal norms that prescribes the content and the form of service contracts to assist in the document assembly process

ABSTRACT This research aims at investigating the critical factors that promote users in protecting the Bring Your Own Device (BYOD) information security. Perceived value serves as the core variable and integrates the Technology Threat Avoidance Theory and the Value-based Adoption Model to propose an integrated model. The questionnaire survey employed to verify the hypotheses. The results show that

In order to improve the detection rate of pedestrian, a novel technique that is based on hybrid Gaussian background modeling combined with HOG and SVM is proposed. The random video frame test sample is used to verify the performance of the model. The results show that under the condition of ensuring the detection rate and detection rate, the false detection rate of the hybrid Gauss combined with the

The paper’s goal is to propose an IoT assisted Cyber-Physical System with a fault detection technique using a fuzzy algorithm for the supply chain management (SCM). Mathematical models are important for detecting faults. Devicescan contribute to device vulnerabilities. Propertiesof the components in an embedded application can identify defective components in cyber systems of SCM. In this paper linear

Food retailer’s grading and selection is an essential process for determining the consumer priceand guaranteeing the quality before launching to the market. Such a grading process, however, often relies on human expertise for making a subjective judgement. This paper proposes a hybrid approach using fuzzy analytic hierarchy process for determining weights of evaluation criteria and TOPSIS (Technique

This paper proposes anew architecture for wide area networks. The architecture is based on the concept of independent islands connected via adynamically reconfigured core. Reconfiguration can take place at the level of the physical layer and data link layer, which forces the reconfiguration of other network protocols. During normal network operation, the currently available alternative connections

ABSTRACT Survey data were collected from 179 rural strategic decision-makers in Hunan Province, China. The results show that the emotional energy has a significant long-term impact on rural tourism enterprises. Emotional energy is based on group solidarity, and to further explore the rational realization mechanism of group unity, the Stackelberg model and the Shapley value are used to obtain the cooperative

Coupling a production scheduling process with maintenance logs can provide important advantages. For instance, this enables the adaptation of planning to the reality of the shop floor. Nevertheless, maintenance logs are often highly unstructured, as they mainly rely on free-form text comments from operators, and are imbalanced, as commonplace issues happen more often than critical problems. This hinders

ABSTRACT This study aims to investigate how Twitter has been used during an international product recall. Based on the SMCC model and the Crisis Response framework, the study proposes a new crisis communication model (SBCC) to analyse the 2016 Mars product recall tweet dataset. The study finds that the platform has mainly been used to ask questions and spread negative information from the news media

Presently, Large communication energy is required for the entire project planning system in automation industries. This paper suggests the loss of energy efficiency modeling based on the Multiple Fuzzy Aggravated Energy Scheduling Approach (MFAESA). The Multiple Fuzzy Algorithms Energy Scheduling Approach in assistance with IoT setting builds up and incorporates the fuzzy algorithm in a single objective

ABSTRACT A symbiotic simulation system (S3) enables interactions between a physical system and its computational model representation. To support operational decisions, an S3 uses real-time data from the physical system, which is gathered via sensors and saved in an enterprise data storage system (EDSS). Both real-time and historical data are then used as inputs to the different components of an S3

To improve human action recognition performance of visual data, we proposed Hybrid Sampling Ensemble Learning method. 1)define the curvature distance distribution to fit discrete images into continuous expandable surfaces. 2)obtain density-weighted curvature distance of the images through class imbalance adjustment. 3)use auto-regressive classification tree strategy by utilizing the hierarchical regress

This paper sets supply chain buyback contract model with retailer's complete rationality and fairness concern respectively under stochastic demand, and uses Bayesian theorem to solve retailer's two-stage order decision under demand updating, so as to analyze the influence of retailer's fairness concern on the optimal order decision and the coordination of the buyback contract. The results show that