Yukun Bao

• Ph.D.
• Managing Director at Huazhong University of Science and Technology

Recurrent neural network-based sequence-to-sequence models have been extensively applied for multi-step-ahead time series forecasting. These models typically involve a decoder trained using either its previous forecasts or the actual observed values as the decoder inputs. However, relying on self-generated predictions can lead to the rapid accumula...

The main objective of this research is to generate insights about the effect of the depth and breadth of cloud computing assimilation on firm performance. The authors construct a research model based on several strands of theories to achieve the objective. This study considers two implementation alignment strategies: balanced fit and complementary...

Studies on the effect of business-IT alignment between the management of IT investment and firm performance are scarce. This study focuses on process theory, resource-based view, and Val-IT 2.0, to investigate how business-IT alignment mediates the management of IT investment and firm performance using 194 Chinese IT and business managers’ response...

Electricity consumption forecasting has vital importance for the energy planning of a country. Of the enabling machine learning models, support vector regression (SVR) has been widely used to set up forecasting models due to its superior generalization for unseen data. However, one key procedure for the predictive modeling is feature selection, whi...

Accurate and reliable multi-step-ahead forecasting of stock price indexes over long-term future trends is challenging for capital investors and decision-makers. This study developed a hybrid stock price index forecasting modelling framework using Long Short-Term Memory (LSTM) with Multivariate Empirical Mode Decomposition (MEMD), which can capture...

Despite the recent proliferation of mHealth, the present research has not yet re-conceptualized on how mHealth can be used to promote healthcare over time. Researches have indicated that mHealth adoption and acceptance problems must be re-addressed to provide improved healthcare delivery. It is essential to explore the end-user centric factors for...

Purpose Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and point of sale payment. Design/methodology/approach The body of information on this topic is promoted by proposing the valence framework, where the authors used re...

Purpose The purpose of this study is to understand the mediating role of psychological need and immersive experience on graduates' skill gaps on massive open online courses (MOOCs) adoption intention. Design/methodology/approach The proposed research model is developed by combining two popular theoretical models, namely, the self-determination the...

Despite the recent proliferation of mHealth, the present research has not yet re-conceptualised on how mHealth can be used to promote healthcare over time. Researches have indicated that mHealth adoption and acceptance problems must be re-addressed to provide improved healthcare delivery. It is essential to explore the end-user centric factors for...

Mobile-based health (mHealth) systems are proving to be a popular alternative to the traditional visits to healthcare providers. They can also be useful and effective in fighting the spread of infectious diseases, such as the COVID-19 pandemic. Even though young adults are the most prevalent mHealth user group, the relevant literature has overlooke...

Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well as government. Literature reveals that 1% error drop of forecast can reduce 10 million pounds operational cost. Thus, this study proposed a novel hybrid predictive model built upon multivariat...

Purpose Despite the enormous potential of mobile health (mHealth), identifying the asymmetric relationship among the predictors towards intention to use (ITU) of mHealth tends to remain unresolved. This study aims to investigate the predictors and their asymmetric effects on ITU of mHealth through patients and healthcare professionals. Design/meth...

The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffus...

Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well as government. Literature reveals that 1% error drop of forecast can reduce 10 million pounds operational cost. Thus, this study proposed a novel hybrid predictive model built upon multivariat...

Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influenza-like illness (ILI) rate series, accurate multi-step-ahead influenza predictions using ILI series is of great importance, especially, to the potential coming influenz...

Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influenza-like illness (ILI) rate series, accurate multi-step-ahead influenza predictions using ILI series is of great importance, especially, to the potential coming influenz...

Recently, the destructive impact of Coronavirus 2019, commonly known as COVID-19, has affected public health and human lives. This catastrophic effect disrupted human experience by introducing an exponentially more damaging unpredictable health crisis since the Second World War (Kursumovic et al. in Anaesthesia 75: 989–992, 2020). Strong communicab...

The COVID-19 pandemic damaged crude oil markets and amplified the consequences of uncertainty stemming from the Russia-Saudi Arabia oil price war in March–April of 2020. We investigate the impacts of the oil price war on global crude oil markets. By doing so, we use the daily futures and spot prices in three major crude oil markets—West Texas Inter...

Numerous indigenous communities suffer from digital divide issues affecting their social, cultural, and economic well-being. As various technologies contribute both to creating opportunities and responding to social and cultural changes, it is imperative to explore the wider impacts of information and communication technologies (ICT) on improving l...

Electricity consumption forecasting plays an important role in investment planning of electricity infrastructure, and in electricity production/generation and distribution. Accurate electricity consumption prediction over the mid/long term is of great interest to both practitioners and academics. Considering that monthly electricity consumption ser...

Despite the superiority of convolutional neural networks demonstrated in time series modeling and forecasting, it has not been fully explored on the design of the neural network architecture and the tuning of the hyper-parameters.Inspired by the incremental construction strategy for building a random multilayer perceptron, we propose a novel Error-...

Purpose – Wearable health technologies (WHTs) show promise in improving the health and well-being of the aging population because they promote healthy lifestyles. They can be used to collect health information from users and encourage them to be physically active. Despite potential benefits of WHTs, recent studies have shown that older people have...

Background: Knowledge mining (KM) tends to deliver the tools and associated components to extract enormous amounts of data for strategic decision-making. Numerous machine learning (ML) techniques have been applied in medical information systems. These can significantly contribute to the decision-making process, such as diagnosis, prediction, and ex...

Ensuring sustainability through green supply chain management practices has become challenging for the textiles and garments industry. Organizations need to examine the factors of the firm’s sustainability performance and how to manage them strategically. Hence, the strategic organizational orientation can be the best approach for implementing gree...

Purpose Despite the widespread use of univariate empirical mode decomposition (EMD) in financial market forecasting, the application of multivariate empirical mode decomposition (MEMD) has not been fully investigated. The purpose of this study is to forecast the stock price index more accurately, relying on the capability of MEMD in modeling the de...

Purpose The aim of this study is to propose an efficient rule extraction and integration approach for identifying phishing websites. The proposed approach can elucidate patterns of phishing websites and identify them accurately. Design/methodology/approach Hyperlink indicators along with URL-based features are used to build the identification mode...

Determining the key features for the best model fitting in machine learning is not an easy task. The main objective of this study is to accurately predict cardiovascular disease by comparison among different feature selection algorithms. This study has employed a two-stage feature sub-set retrieving technique to achieve this goal: we first consider...

While literature reveals the positive perception of e-Learning, this study examined and assessed the impact of e-Learning crack-up perceptions on psychological distress among college students during COVID-19 pandemic. Kessler psychological distress scale (K10) was used to evaluate stress symptoms. This study first conducted an online focus group di...

Purpose The multifaceted effect of IT in organizations has been widely examined. However, the intervening role of IT strategy and business strategy on the effect of managing IT on firm performance remains less strong. This study examines how managing information technology (MIT) effects on firm performance by looking at the mediating role of IT str...

Purpose In the era of m-learning environments, multiple factors have been considered to explain adult learners' continuance usage intention, but largely without considering the role of specific configurations of variables and how they may affect learners' intention. The purpose of this study is to show how cognitive need, subjective norms, perceive...

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expe...

Purpose – This study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance. Design/methodology/approach – The authors developed a conceptual framework based on the integration of several strands of literature in business studies and informa...

Purpose Despite the existing literature on the impact of IT capability and innovation capabilities, this study examines how IT-enabled dynamic capability dimensions impact on firm innovative capability to achieve organizational performance. Design/methodology/approach Drawing on the dynamic capability theory, this study empirically investigates th...

Despite the superiority of convolutional neural networks demonstrated in time series modeling and forecasting, it has not been fully explored on the design of the neural network architecture as well as the tuning of the hyper-parameters. Inspired by the iterative construction strategy for building a random multilayer perceptron, we propose a novel...

Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of...

Wearable healthcare technology (WHT) has the potential to improve access to healthcare information especially to the older population and empower them to play an active role in self-management of their health. Despite their potential benefits, the acceptance and usage of WHT among the elderly are considerably low. However, little research has been...

This study attempts to examine the impact of green entrepreneurial orientation (GEO) and market orientation (MO) on the implementation of green supply chain management (GSCM) practices and subsequent sustainable firm performance. Further, the study identifies the mediating factor between green entrepreneurial orientation and sustainable firm perfor...

While the elderly population is growing rapidly, acceptance and use of m-government services by them are far below expectation. Previous studies on acceptance and use of m-government services have predominantly focused on younger citizens with skills and experience of information technologies. Drawing upon the dual factor model, this study investig...

This paper investigates the key predictors of cloud computing adoption, and further, assesses how cloud computing adoption affects small and medium enterprises’ (SMEs’) performance. To test the proposed model, we have applied a dual-stage analytical approach by combining structural equation modeling (SEM) and artificial neural network (ANN). SEM re...

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing c...

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential fact...

Purpose The purpose of this study is to review the effect of usability factors on e-learning user relationships, namely, student–student interaction (SSI), student–instructor interaction (SII) and student–content interaction (SCI), in the existing e-learning literature. Further, this study intended to identify whether usability contributes to the s...

The purpose of this paper is to examine the continuance intention of Alipay by proposing an integrated model. This paper highlights how the capacity of providing context-based information to the users plays significant role in determining the continuance intention of mobile payment like Alipay. Data are collected from 336 Alipay users from Wuhan,...

Diabetes is a chronic disease among the general population of Bangladesh with exponential progress throughout the most recent years. mHealth can be a proficient method to help curb this rise and improve the quality of life of patients like developed countries. The purpose of this pilot study is to assess the acceptability of mHealth services among...

Deep learning (DL) has attracted increasing attention on account of its significant processing power in tasks, such as speech, image, or text processing. In order to the exponential development and widespread availability of digital social media (SM), analyzing these data using traditional tools and technologies is tough or even intractable. DL is...

Purpose Despite the conceptual, empirical and theoretical advances in alignment–performance relationship, there is a limited research on the alignment dimensions and organizational performance measures. Though strategic alignment is believed to improve organizational performance, the purpose of this paper is to develop conjectures for understandin...

The study investigates critical factors which are important to evaluate enterprise resource planning (ERP) in the post-implementation stage. A conceptual framework is proposed with a set of relevant hypotheses and a structural equation modeling is used to analyze the survey data using Smart-PLS package program. The results illustrate that post-impl...

Comparatively a little attention has been paid to the factors that obstruct the acceptance of Internet banking in Sri Lanka. This research assimilates constructs such as security and privacy, perceived trust, perceived risk, and website usability. To test the conceptual model, we collected 186 valid responses from customers who use Internet banking...

Purpose: Managing IT with firm performance has always been a debatable topic in literature and practice. Prior studies examining the above relationship have reported mixed results and have yet ignored the eminent managing IT practices. The purpose of this paper is to empirically investigate the relevance of ValIT 2.0 practice in managing IT investm...

Twenty-First Century Education is a design of instructional culture that empowers learner-centered through the philosophy of "Less teaching but more learning". Due to the development of technology enhance learning in developing countries such as Thailand, online learning is rapidly growing in the electronic learning market. ClassStart is a learning...

Recognizing the underlying relationship between e-learning practice and the institutional environments hosted in, the Chinese educational practice on branching high school students into science, technology, engineering, and mathematics (STEM) and non-STEM academic major groups before being admitted into universities or colleges is examined. By exte...

Recognizing the underlying relationship between e-learning practice and the institutional environments hosted in, the Chinese educational practice on branching high school students into science, technology, engineering, and mathematics (STEM) and non-STEM academic major groups before being admitted into universities or colleges is examined. By exte...

Malicious web domains represent a big threat to web users' privacy and security. With so much freely available data on the Internet about web domains' popularity and performance, this study investigated the performance of well-known machine learning techniques used in conjunction with this type of online data to identify malicious web domains. Two...

Twenty-First Century Education is a design of instructional culture that empower learner-centered through the philosophy of ‘Less teaching but more learning’. Due to the development of technology enhance learning in developing countries such as Thailand, online learning is rapidly growing in the electronic learning market. ClassStart is a learning...

Purpose The purpose of this study was to investigate factors that influence the intention to use mobile learning (m-learning) by learners in developing countries such as Thailand. This study integrated two theories; namely, the unified theory of acceptance and use of technology (UTAUT), which focuses on technology, and uses and gratifications theo...

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirical...

Purpose Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more be...

Despite the benefits of transparency, accountability, and participation of open government data (OGD), low acceptance and use of OGD have been observed. However, the acceptance and use of OGD has not been adequately addressed in existing literature. Therefore, this study aimed to synthesize the strengths of two well-established theories; the unifie...

Purpose The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology. Design/methodology/approach An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended...

There is an inadequate understanding of the successful use and effects of a human resource information system (HRIS) in a developing country context. Given this backdrop, this study aims to explore the precursors to and effects of HRIS use in a developing country. A research model was developed after studying the existing literature, and a question...

Purpose Managing IT with firm performance has always been a debatable topic in literature and practice. Prior studies examining the above relationship have reported mixed results and have yet ignored the eminent managing IT practices. The purpose of this paper is to empirically investigate the relevance of Val-IT 2.0 practice in managing IT invest...

Comparatively a little attention has been paid to the factors that obstruct the acceptance of Internet banking in Sri Lanka. This research assimilates constructs such as security and privacy, perceived trust, perceived risk, and website usability. To test the conceptual model, we collected 186 valid responses from customers who use Internet banking...

In view of the importance of seasonal forecasting of agricultural commodity price, particularly vegetable prices, and the limited research attention paid to it previously, this study proposes a novel hybrid method combining seasonal-trend decomposition procedures based on loess (STL) and extreme learning machines (ELMs) for short-, medium-, and lon...

Background: m-Health as an important part of e-health has recently become one of the most influential initiative in healthcare sector all over the world. In developing countries healthcare service providers started to provide m-health services from the last few years. Despite the widespread acceptance of mobile phones, the adoption of m-health amo...

Stock index forecasting has been one of the most widely investigated topics in the field of financial forecasting. Related studies typically advocate for tuning the parameters of forecasting models by minimizing learning errors measured using statistical metrics such as the mean squared error or mean absolute percentage error. The authors argue tha...

In view of the importance of interval-valued time series (ITS) modeling and forecasting, and the less research efforts made before, this study proposes an hybrid modeling framework combining interval Holt's exponential smoothing method (HoltI) and multi-output support vector regression (MSVR) for ITS forecasting. Following the philosophy of well-es...

Short-term forecasting of hog price, which forms the basis for the decision making, is challenging and of great interest for hog producers and market participants. Th is study develops improved ensemble empirical mode decomposition (EEMD)-based hybrid approach for the short-term hog price forecasting. Specifically, the EEMD is fi rst used to decomp...

Information and Communication Technologies (ICTs) play a key role in today’s business environment. ICTs also give small firms a competitive advantage in the new economy. However, little empirical research has addressed the issues of use, impact and adoption of ICTs in Small and Medium Enterprises (SMEs), especially in rural areas of developing coun...

This study investigates the critical success factors that affect the implementation of Electronic Document Management Systems (EDMSs) in government organizations. Based on a comprehensive literature review as well as inputs from a panel of experts, we composed a list of 37 factors that were considered as prerequisites of successful EDMS implementat...

Malicious web domains represent a big threat to web users' privacy and security. With so much freely available data on the Internet about web domains' popularity and performance, this study investigated the performance of well-known machine learning techniques used in conjunction with this type of online data to identify malicious web domains. Two...

This chapter investigates the application, opportunities, challenges and techniques of Big Data in healthcare. The healthcare industry is one of the most important, largest, and fastest growing industries in the world. It has historically generated large amounts of data, “Big Data”, related to patient healthcare and well-being. Big Data can transfo...

Background: E-health is an important initiative among the public and private hospitals in Bangladesh in the last few years. The factors influencing e-health adoption have been a well-investigated research area in both developed and developing countries. However, there have been only a few studies exploring the role of cultural factors in the adopt...

Accurate forecasting of mid-term electricity load is an important issue for power system planning and operation. Instead of point load forecasting, this study aims to model and forecast mid-term interval loads up to one month in the form of interval-valued series consisting of both peak and valley points by using MSVR (Multi-output Support Vector R...

Selection of input features plays an important role in developing models for short-term load forecasting (STLF). Previous studies along this line of research have focused pre-dominantly on filter and wrapper methods. Given the potential value of a hybrid selection scheme that includes both filter and wrapper methods in constructing an appropriate p...

Interval time series prediction is one of the most challenging research topics in the field of time series modeling and prediction. In view of the remarkable function approximation capability of fully complex-valued radial basis function neural networks (FCRBFNNs), we set out to investigate the possibility of forecasting interval time series by den...

Accurate interval forecasting of agricultural commodity futures prices over future horizons is challenging and of great interests to governments and investors, by providing a range of values rather than a point estimate. Following the well-established “linear and nonlinear” modeling framework, this study extends it to forecast interval-valued agric...

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This chapter investigates the application, opportunities, challenges and techniques of Big Data in healthcare. The healthcare industry is one of the most important, largest, and fastest growing industries in the world. It has historically generated large amounts of data, "Big Data", related to patient healthcare and well-being. Big Data can transfo...

Viewing the role of senior managers in organizations, the human resource managers suffer from the lack of hands-on tools for the performance evaluation of senior managers. This study reports the design of expert systems for senior managers' performance evaluation. Different from the normal information systems for employee performance appraisal, sev...