A5085980491- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Big Data and Business Intelligence
- Knowledge Management and Sharing
- Customer Service Quality and Loyalty
- ERP Systems Implementation and Impact
- Machine Learning in Healthcare
- Supply Chain Resilience and Risk Management
- Artificial Intelligence in Healthcare
- Data Quality and Management
- Quality and Supply Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Service and Product Innovation
- Information Technology Governance and Strategy
- Information and Cyber Security
- Cybercrime and Law Enforcement Studies
- Biomedical Text Mining and Ontologies
- Sepsis Diagnosis and Treatment
- Consumer Behavior in Brand Consumption and Identification
- Electronic Health Records Systems
- Bacterial Identification and Susceptibility Testing
- Multi-Criteria Decision Making
- Social Media in Health Education
- Outsourcing and Supply Chain Management
- Competitive and Knowledge Intelligence
University of Waikato
2017-2025
Massey University
2022
Boğaziçi University
2022
Auckland University of Technology
2010-2019
University of South Australia
2006-2011
Purpose Online shopping has continued to grow in popularity, and the advance of internet technology enhanced customers’ experiences. One online retailers have been using increase sales is virtual try-on (VTO). The purpose this paper investigate how such affects consumers’ purchase decision process towards intention, especially from an integration utilitarian, hedonic risk perspectives, by advanced partial least square (PLS) approaches. Design/methodology/approach This study applied a...
With the rapid development of COVID-19 pandemic, countries are trying to cope with increasing medical demands, and, at same time, reduce increase infected numbers by implementing a number public health measures, namely non-pharmaceutical interventions (NPIs). These measures can include social distancing, frequent handwashing, and personal protective equipment (PPE) level; community government level, these range from canceling activities, avoiding mass gatherings, closing facilities, extreme,...
Purpose – Extant research on supply chain integration defines in different ways, and mainly discusses a limited number of elements. The purpose this paper is to develop conceptual model which consists comprehensive elements that are important academic industrial practices. Design/methodology/approach Key literature survey with drawing threads existing practices together for developing systematic referential then verify the real case. Findings Developed consisting residing at strategic,...
Boredom is a ubiquitous emotion, whether in moral, social, or practical sense. In the context of digital communications and business, extensive research has explored ways which this adverse sentiment influences utilisation technology. However, these studies have ignored phenomenon online commerce. The present work aims to assess knowledge on boredom context. Through review 103 using grounded theory method for rigorous literature review, an inductive framework five building blocks built. From...
Physicians working in emergency departments (ED) face significant challenges due to inadequate clinical decision support and the fragmentation of hospital information systems (HIS). This study develops a system integration architecture that facilitates creation (CDSS) based on machine learning improve decision-making ED. Design science research methodology was employed create evaluate designed which provides HIS within ED setting. The enables seamless accessing processing data from disparate...
Enterprise Systems have become a critical feature of organisations not only for their integrative functions but also because they collectors and repositories organisational data. In the past, this data was subject to relatively simplistic analysis, which could provide important still basic information management decision-making. With emergence new technologies, both collection analysis increasingly sophisticated varied. This has led significant improvements in quality timeliness that can be...
Purpose This paper aims to investigate the value of big data investments by examining market reaction company announcements and tests effect for firms that are either knowledge intensive or not. Design/methodology/approach study is based on an event using from two stock markets in China. Findings The sees overall index increase prices when revealed grouping all listed included sample. Increased also case non-knowledge firms. However, does not seem react investment testing along. Research...
In a digital society, people have access to all kinds of electronic information as online users. They also contributed various content for exchanging ideas in the community, which has not only extended traditional knowledge sharing channels, but led concerns about quality and reliability. The literature suggests that user involvement collaboratively evaluating an community is likely be effective means ease these concerns. However, understanding users' intentions willing take part still...
Background International Classification of Diseases codes are widely used to describe diagnosis information, but manual coding relies heavily on human interpretation, which can be expensive, time consuming, and prone errors. With the transition from Diseases, Ninth Revision, Tenth Revision (ICD-10), process has become more complex, highlighting need for automated approaches enhance efficiency accuracy. Inaccurate result in substantial financial losses hospitals, a precise assessment outcomes...
Purpose This research proposes a decision framework for using non-financial measures to define replenishment policy perishable health products. These products are and substitutable by nature create complexities managing inventory. Instead of financial measure, numerous should be considered balanced meet business objectives enhance inventory management. Design/methodology/approach applies multi-methodological approach develops that integrates discrete event simulation (DES), analytic...
Enterprise systems (ES) are large software packages that have been widely adopted, but complex to deploy. One way obtain more value from them is train end-users. However, little known about the effectiveness of ES training. This study examines post-training behaviour in environment through concept training transfer and theoretical framework self-determination theory. It proposes end-users' computer self-efficacy (CSE) mastery orientation (MO), as well perceived ease-of-use (PEOU) a system,...
Bacteremia is a common but life-threatening infectious disease. However, well-defined rule to assess patient risk of bacteremia and the urgency blood culture lacking. The aim this study establish predictive model for in septic patients using available big data emergency department (ED) through logistic regression other machine learning (ML) methods.We conducted retrospective cohort at ED National Cheng Kung University Hospital Taiwan from January 2015 December 2019. adults (≥18 years old)...
Purpose The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with delivery models ERP. This also investigates infrastructure as a service (IaaS) approach for Case research on IaaS rarely found the literature. In addition, intends reveal transformation from on-premises would influence ERP process. Design/methodology/approach A multiple-case study conducted identify deployed systems projects. influences...
Purpose The purpose of this study is to investigate the motivational process underlying users’ intention provide feedback on user-contributed knowledge in professional online communities. User can serve as a means indicating credibility content, which help community members their knowledge-seeking process. Adopting such user mechanism beneficial for users identify relevant and credible content efficiently an sustain itself. Design/methodology/approach Drawing self-determination theory,...
Data curation for a hospital-based cancer registry heavily relies on the labor-intensive manual abstraction process by registrars to identify cancer-related information from free-text electronic health records. To streamline this process, natural language processing system incorporating hybrid of deep learning-based and rule-based approaches identifying lung registry-related concepts, along with symbolic expert that generates coding based weighted rules, was developed. The is integrated...
The introduction of information systems into industry to enhance operational efficiency is a common business strategy. Introducing such should be expected employee satisfaction if the work as expected. Based on previous studies supply chain management (SCM) and using institution theory, technology use acceptance models, this study applies lens attitude assimilation explore behavior toward SCM after implementation, well how employees' impact performance chain. Collecting data from employees...
Purchasing a property entails making rankings, comparisons, and trade-offs among various housing characteristics. When trying to sell house, real estate brokers take on an important role as middle-person between the seller buyer. Thus, this research sets up dynamic price recommendation method for purchases applies fuzzy multiple criteria decision (FMCDM) technique, so realize quality evaluation. We utilize based prospect theory of loss aversion effect, in order aid brokers’ job coordinating...