Shah J Miah
Biographic Data
| ID | 1753439 |
|---|---|
| NAME | Shah J Miah |
| GIVEN NAMES | Shah J |
| FAMILY NAME | Miah |
| SIGNATURE | MIAH S J |
| AFFILIATIONS | University of Newcastle Australia |
| ORCID | 0000-0002-3783-8769 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Social robots in the context of corporate participation in rural revitalization
Acceptance of clinical decision support systems in Saudi healthcare organisations
Applications of clinical decision support systems (CDSS) have become essential for physicians seeking to make appropriate decisions. The implementation of CDSS, however, is complicated if the factors affecting physician’s acceptance are not recognised. This study aims to explore the various factors that may influence the acceptance of CDSS in Saudi Arabia. A qualitative method was used to collect data from interviews with 54 GPs, with interviews …
Importance of organisational learning management systems
The study focuses on usability provisions of learning management systems (LMS) in a corrective service organization. Under the influence of goal-directed interaction design principles in design science, the study outlines a new innovative artifact as a conceptual LMS solution that addresses the employee-centric learning model. The collective artifact represents relevant design knowledge assistive to meeting stakeholders’ contextual learning needs…
Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare
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 diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modellin…
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
The academic intervention to predict at-risk higher education (HE) students requires effective data model development. Such data modelling projects in the HE context may have common issues related to (a) adopting small-scale modelling that gives limited options for early intervention and (b) using imbalanced data that hinders capturing effective details of poorly performing students. We address the issues going beyond the distribution-based algor…
Knowledge graph model development for knowledge discovery in dementia research using cognitive scripting and next-generation graph-based database
Recent studies report doubling numbers of deaths due to dementia. With such an escalating mortality rate related to cognitive decline diseases, like dementia, timely information on contributing factors and knowledge discovery from evidence-based repositories is warranted. A large amount of scholarly knowledge extracted from research findings on dementia can be understood only using human intelligence for arriving at quality inferences. Due to the…
Discovering tourist preference for electing destinations
Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pa…
Promoting social media analytics in capital raising
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Promoting social media analytics in capital raising
Discovering tourist preference for electing destinations
Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pa…
Knowledge graph model development for knowledge discovery in dementia research using cognitive scripting and next-generation graph-based database
Recent studies report doubling numbers of deaths due to dementia. With such an escalating mortality rate related to cognitive decline diseases, like dementia, timely information on contributing factors and knowledge discovery from evidence-based repositories is warranted. A large amount of scholarly knowledge extracted from research findings on dementia can be understood only using human intelligence for arriving at quality inferences. Due to the…
Acceptance of clinical decision support systems in Saudi healthcare organisations
Applications of clinical decision support systems (CDSS) have become essential for physicians seeking to make appropriate decisions. The implementation of CDSS, however, is complicated if the factors affecting physician’s acceptance are not recognised. This study aims to explore the various factors that may influence the acceptance of CDSS in Saudi Arabia. A qualitative method was used to collect data from interviews with 54 GPs, with interviews …
Importance of organisational learning management systems
The study focuses on usability provisions of learning management systems (LMS) in a corrective service organization. Under the influence of goal-directed interaction design principles in design science, the study outlines a new innovative artifact as a conceptual LMS solution that addresses the employee-centric learning model. The collective artifact represents relevant design knowledge assistive to meeting stakeholders’ contextual learning needs…
Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare
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 diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modellin…
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
The academic intervention to predict at-risk higher education (HE) students requires effective data model development. Such data modelling projects in the HE context may have common issues related to (a) adopting small-scale modelling that gives limited options for early intervention and (b) using imbalanced data that hinders capturing effective details of poorly performing students. We address the issues going beyond the distribution-based algor…
Social robots in the context of corporate participation in rural revitalization
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Computer Science (8 works) · Artificial Intelligence (5 works) · Knowledge management (5 works) · Digital Marketing and Social Media (4 works) · Psychology (4 works) · Business (3 works) · Engineering (3 works) · Data mining (2 works) · Data science (2 works) · Geography (2 works)