Shah Jahan Miah

The University of Newcastle, Australia · Newcastle Business School

The crucial role of competent software architecture is essential in managing the challenging of big data processing for both relational and nonrelational databases. Relational databases are designed to structure data for facilitating vertical scalability, while non-relational databases excel in handling vast volumes of unstructured data for enhanci...

Artificial Intelligence (AI) offers new technical reality in driving innovations across service sectors in areas of human societies. The application of AI has shown a profound impact for transforming key practices, including in the Higher Education (HE) sector. The presence of AI in the HE sector is already widely acknowledged for playing a pivotal...

Anomalies are a significant challenge for businesses in all industries. Artificial intelligence (AI) based machine learning (ML) detection models can help find aberrant customer transaction behaviour in financial datasets. However, the output responses provided by these AI-based ML models lack transparency and interpretability, making it challengin...

Effective teachers are strongly committed to creating a positive learning experience, instinct, and impact for transforming students’ learning. The transforming elements can be defined through related attributes, such as self-efficacy, regular attendance, and cooperative behavior. However, this involves a significant data analysis task to measure t...

Reducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution. The availability of big data source from the Learning Management System (LMS) can be analysed to help with the attrition issues. This study aims to use an integrated Design Science Research (DSR) meth...

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 de...

The aged care sector in Australia faces significant challenges. Although many of these issues have been clearly identified, their urgency has been further highlighted during the COVID-19 pandemic. Technology such as in-home monitoring is one way to address some of these challenges. However, the efficacy of technology must be considered together wit...

The aim of this research is to assess the reliability of venue check-in data. We focus on resident mobility and assess how venue check-in data can provide valuable insights into residents’ movement in tourist destinations. Understanding resident’s mobility and related activities is necessary for strategic planning and decision making for destinatio...

Given its multi‐faceted nature, consumer research has evinced interest from scholars both within and outside the marketing domain, resulting in ongoing knowledge contributions from a diverse range of disciplines. We conduct a comprehensive review and comparison across both marketing (“inside”) and non‐marketing (“outside”) disciplines to identify w...

Sentiment analysis has been rapidly employed for business decision support. New data mining researchers are yet to have an adequate understanding of the various applications of sentiment analysis while utilising social media data. As a result, it is critical to define the data mining and text analytics research trend holistically using existing lit...

The hospitality and tourism sector has long played a significant role in Australia’s economy, especially in regional areas. Due to the onslaught of COVID-19, numerous businesses have experienced lockdowns, restrictions, and closures due to the fact that people’s activity in restaurants, shopping centers, and recreational destinations was restricted...

lockchain has become a widely used information system technology recently because of its efectiveness as an intermedi�ary-free platform. While the use of blockchain in various felds, such as fnance, supply chains, healthcare, education, and energy consumption, is increasingly enabling the development of Internet-enabled “distributed databases,” th...

Blockchain has become a widely used information system technology recently because of its effectiveness as an intermediary-free platform. While the use of blockchain in various fields, such as finance, supply chains, healthcare, education, and energy consumption, is increasingly enabling the development of Internet-enabled “distributed databases,”...

AI (Artificial intelligence) has the potential to improve strategies to talent management by implementing advanced automated systems for workforce management. AI can make this improvement a reality. The objective of this study is to discover the new requirements for generating a new AI-oriented artefact so that the issues pertaining to talent manag...

Internet of things (IoT) has significantly altered the traditional lifestyle to a highly technologically advanced society. Some of the significant transformations that have been achieved through IoT are smart homes, smart transportation, smart city, and control of pollution. A considerable number of studies have been conducted and continues to be d...

While cyber security has become a prominent concept of emerging information governance, the Kingdom of Saudi Arabia has been dealing with severe threats to individual and organizational IT systems for a long time. These risks have recently permeated into educational institutions, thereby undermining the confidentiality of information as well as the...

Application of electronic commerce (e-commerce) technologies has increased notably over the past two decades in different business sectors. In particular, the technologies of B2C operations have significantly improved the productivity of online small businesses such as SMEs. Systematic literature reviews in this domain categorized different, benefi...

With the advancement in the marketing channel, the use of e-commerce has increased tremendously therefore the basic objective of this study is to analyze the impact of business analytics and decision support systems on e-commerce in small and medium enterprises. Small and medium enterprises are becoming a priority for economies as by implementing s...

Academic research to the utilization of artificial intelligence (AI) has been proliferated over the past few years. While AI and its subsets are continuously evolving in the fields of marketing, social media and finance, its application in the daily practice of clinical care is insufficiently explored. In this systematic review, we aim to landscape...

Businesses use sentiment analysis in different ways for generating market or consumer insights to improve their performance. Existing sentiment analysis studies related to social media research have been significant due to the fact of their rapidly growing potential, as this type of analysis of social media content represents immense benefits. It i...

Reducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution. The availability of big data source from Learning Management System (LMS) can be analysed to help with the attrition issues. This study aims to use an integrated Design science research (DSR) methodol...

Block chain has become a popular distributed ledger technology, which assists to store data in a secured, tamper proofed and immutable manner. In recent years, banks and remittance institutes have shown their interests increasingly to investigate the application design issues related to this disruptive technology, for instance, by evaluating the co...

This research study explores this original phenomenon for proposing a new concept that will act as an overarching descriptor of innovation types: idea, object and behaviour. This proposed concept, relating to intangible innovation, will explain the sequence within one or many connected intangible activities that provide novelty to its end user rela...

AI has the potential to improve approaches to talent management enabling dynamic provisions through implementing advanced automation. This study aims to identify the new requirements for developing AI-oriented artifacts to address talent management issues. Focusing on enhancing interactions between professional assessment and planning attributes, t...

AI has the potential to improve approaches to talent management enabling dynamic provisions through implementing advanced automation. This study aims to identify the new requirements for developing AI-oriented artifacts to address talent management issues. Focusing on enhancing interactions between professional assessment and planning attributes, t...

Adopting a good health information system (HIS) is essential for providing high-quality healthcare. With rapid advances in technology in the healthcare industry in recent years, healthcare providers seek effective options to deal with numerous diseases and a growing number of patients, adopting advanced HIS such as for clinical decision support. Wh...

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 dem...

BACKGROUND Clinicians rely on their health organization’s knowledge services for clinical information retrieval however studies identified barriers or pain points that prevent them from accessing research from resource providers. OBJECTIVE Our study objective is to develop a feasible implementation design theory for health organizations to remove...

The aged care sector in Australia faces significant challenges. While many of these issues have been clearly identified, their urgency has been further highlighted during the COVID-19 pandemic. Technology such as in-home monitoring is one way to address some of these challenges. However, the efficacy of technology must be considered together with i...

Information governance (IG) embraces underlying necessities to organize information using consistent method for meeting organizational needs. This demand has proliferated over the past few years to any organization, including universities. However, due to the poor nature of information management systems in Nigerian universities, there is a signifi...

Big data analytics utilizes different techniques to transform large volumes of big datasets. The analytics techniques utilize various computational methods such as Machine Learning (ML) for converting raw data into valuable insights. The ML assists individuals in performing work activities intelligently, which empowers decision-makers. Since academ...

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on...

Big Data Analytics (BDA) usage in the industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision-making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA...

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...

Big data analytics utilizes different analytics techniques to transform large volume and diversified big dataset. The analytics uses various computational methods such as different Machine Learning (ML) in convert raw data to valuable insights. The ML assist individuals to perform work activities quicker and better, and empower decision-makers in s...

Objective: Our study objective is to design a feasible technology solution for health organizations to remove barriers to evidence-based clinical information retrieval, and improve Evidence-Based Practice. Methods: Literature from 2010 to 2020 was reviewed to define problems in evidence-based clinical information retrieval with recommendations from...

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 artifa...

Electronic commerce (e-Commerce) technologies have been increased over the past two decades in different business sectors. In particular, the technologies of B2C operations have significantly improved the productivity of online small businesses such as SMEs. Systematic literature review in this domain categorized different benefits but a limited nu...

Internet of things (IoT) has significantly altered the traditional lifestyle to a highly technologically advanced society. Some of the significant transformations that have been achieved through IoT are smart homes, smart transportation, smart city, and control of pollution. A considerable number of studies have been conducted and continue to be do...

Designing effective methods of retrieving evidence-based clinical information for healthcare professionals’ decision making have always been challenging tasks for researchers in this field. Relevant existing studies have indicated significant limitations of implementing context-sensitive information retrieval services in healthcare organizations, b...

Purpose Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of data generated from student interaction with learning management systems (LMSs) in blended learning (BL) environments may assist with the identification of students...

The phenomenon of innovation has been shifting away from focusing on tangible to intangible modernization with its vitalizing context. This shift appears vitally in innovation developed by individual end-users in organizations and societies, including the exploration of the intangible end-user innovation existence and impact in the household sector...

Background: Recent studies in information systems have predicted that applications of the Internet of Things (IoT) innovations will revolutionise various sectors including healthcare. Besides the issues and opportunities of IoT based innovations, existing studies have shown limitations to advance the adoption of IoT-understanding and relevant inter...

Special Section Editorial - Mobile Decision Support and Analytics for Healthcare: Citizen, Organization, Governmental and Technological Perspectives

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 a...

Blockchain, eventually block chain, (BC) is a distributed ledger system that processes and preserves data and their transactions using time-stamped blocks in decentralized method, which is able to address many traditional issues of information systems design. Since the introduction of the digital currency or cryptocurrency “bitcoin” in 2008, its fo...

Background: The purpose of this paper is to explore the underlying challenges in the telehealth environment in India and Pakistan that impede the delivery of high-quality images between a patient and health care professional. Method: An exploratory study was conducted among healthcare professionals in India and Pakistan to assess their perceptions...

In this research various concepts from network theory and topic modelling are combined, to provision a temporal network of associated topics. This solution is presented as a step-by-step process to facilitate the evaluation of latent topics from unstructured text, as well as the domain area that textual documents are sourced from. In addition to en...

The purpose of this paper is to investigate the possible content of IG (Information Governance) framework for implementation in Nigerian universities so that emphases should be on the areas discovered by the study when planning for the framework for better information management in the universities. A qualitative research using case study approach...

Big Data Analytics (BDA) usage in industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in o...

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...

PurposeOnline health communities (OHCs) offer opportunities for people with type-2 diabetes to share information and experiences for self improvement. This study is to introduce a novel framework for identifying the potential of online diabetes communities’ practices and outcomes in empowering people living with diabetes.Method: Using a qualitative...

Big Data Analytics (BDA) have been proliferated to academic researchers and industry practitioners over the past few years. As a prominent data-driven decision application, the BDA capabilities in organisation have been recognised, but limited studies have successfully attempted to communicate an authentic understanding on BDA capabilities that may...

This paper proposes an integrated research framework that takes advantage of the similarities of design science research (DSR) and Design-based research (DBR) for developing a new decision support system (DSS) artefact. Firstly, the paper discusses the progression of DSR in the Information Systems and evolution of DBR in educational technology noti...

Understanding how people engage in daily activities within a region can provide valuable information for smart city planners and strategic partners to use to assist in their decision‐making processes. Such insights may relate to economic activities, sustainable city design, environmental impacts, and responses to climate change, contributing to the...

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...

Purpose Technologies continue to disrupt logistics and freight transport (known as smart logistics), but their impacts on smart city sustainability is underinvestigated. Drawing on technology, organisation and environment (TOE) perspective, the objective of this study is to empirically investigate the hierarchical effects of smart logistics on smar...

The purpose of this study is to present a literature review that provides in-depth analytical insight into big data in health care. This was addressed by achieving three things: (a) identifying the key topics addressed in existing big data research in health care, (b) measuring associations between topics in existing studies, and (c) constructing t...

The blood donation process is usually very safe, and blood donors are comfortable during the blood donation procedure; however, blood donors occasionally experience various types of adverse reactions during or at the end of blood donation. Some of these reactions are very minor while blood donors sometimes experience serious reactions as well. This...

Contemporary industry practices must be appropriately reflected in designing modern-day teaching and learning programmes. Existing studies are limited to systematic methodologies for accumulating contemporary practice requirements and using that data to inform the design of educational programmes, even though various, local approaches for doing so...

Business intelligence (BI) has proliferated due to its growing application for business decision support. Research on organizational factors may offer significant use in BI implementation. However, a limited number of studies focus on organizational factors for revealing adverse impacts on effective decision support. The aim of this theoretical stu...

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in...

This chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information...

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in...

This chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information...

The primary task of the study is to inspect the affiliation between the implementation of technology and e-commerce success. It is imperative to study such an important relationship that directly impacts the rapid growth of Internet technology, new dimensions of e-services, and innovative measures that are necessary factors for electronic commerce...

The proposed research intends to develop a collaborative cloud-based system through which students, teaching staff and recruiters can interact for various purposes including teaching, learning and employment. These stakeholders are expected to benefit through data access to this online platform. This artefact model leverages with the numerous teach...

Using today's Internet network capacities, this technology has extended various benefits in healthcare sectors. For instance, existing studies already indicated that information technology applications with IoT-based innovations may revolutionize the healthcare industry and subsequently help to improve the real-time reporting of patients' health da...

Healthcare analytics has been a rapidly emerging research domain in recent years. In general, healthcare solution design studies focus on developing analytic solutions that enhance product, process and practice values for clinical and non-clinical decision support. The objective of this study is to explore the scope of healthcare analytics research...

The study develops an artifact for decision support in capital raising campaigns that employs the power of social media analytics (SMA) to allow a better matching between investors and companies. The paper uses the design science approach to propose an artifact which pioneers the investment landscape by providing a method to focus investors’ attent...

With the medical development in recent decades, the multiplicity of different diseases, and an increased number of patients, the use of an advanced healthcare information technology (HIT) such as a clinical decision support system (CDSS) has been of necessary to help general practitioners (GPs). CDSS may fail due to the failure to understand the fa...

This paper is to create a basis of theoretical contribution for a new PhD thesis in the area of Clinical Decision Support Systems (CDSS) acceptance. Over the past three years, we conducted qualitative research into three distinctive phases to develop an extended Task-Technology Fit (TTF) Framework. These phases are for initiating requirement genera...

Abstract: The Internet of Things (IoT) is a global network of smart devices that integrate physical world with digital world. While the IoT is reported to be a foundation technology for the emerging Industry 4.0 era, empirical evidence of IoT use in supply chain management is scant. This study, therefore, investigates the opportunities and challeng...

Purpose – Theorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustai...

Goods movement into the smart city is critical from economic perspective. Hence, understanding the relationship between logistics of the goods flow and smart city operations is crucial in the policy deployment of future cities. Emerging smart logistics considers the inclusion of disruptive technologies-e.g., smart sensors within Internet of Things...

Universities in Nigeria aim to be on global map with better international rankings. Unfortunately, they are plagued with inefficient administration and management due to poor management of records and information. Universities, most of the cases are failed to comply with the National Universities Commission, which resulted higher possibilities of r...

This paper provides a novel framework for maximizing the effectiveness of the Diabetes Group Education Program, which could be generalized in any similar problem context.

With the exponential rise in chronic disease, Online Health Communities (OHCs) offer opportunities for people to share information and experiences. Type-2 diabetes is one of the most prevalent chronic diseases globally and one that can have a devastating effect on an individuals' life. This paper aims to investigate the potential for OHCs practices...

Smart education research has been rapidly developed for transforming education systems leading to engage and empower students, educators and administrators more effectively. Despite decades of the adoption of new technologies in improving education systems, approaches are frequently criticized for lacking appropriate theoretical and technological b...

Research in Smart City development has been proliferated over the past few years, which focused heavily on various supporting service sectors, such as healthcare. However, little effort has been made to design health surveillance support systems, which is also important for the advancement of public healthcare monitoring as an essential smart city...

The Internet of Things (IoT) is a global platform of Internet-connected smart devices that strengthens the supply chain ICT infrastructure for greater integration within an organisation and externally with suppliers and customers. However, the IoT literature so far remains theoretical and excessively focused on its technology and potential applicat...

Universities in Nigeria aim to be on global map with better international rankings. Unfortunately, they are plagued with inefficient administration and management due to poor management of records and information. Universities, most of the cases are failed to comply with the National Universities Commission, which resulted higher possibilities of r...

The study develops an artifact for decision support in capital raising campaigns that employs the power of social media analytics (SMA) to allow a better matching between investors and companies. The paper uses the design science approach to propose an artifact which pioneers the investment landscape by providing a method to focus investors’ attent...

Knowledge gained from a Decision Support Systems (DSS) design should ideally be reusable by DSS designers and researchers. The majority of existing DSS research has mainly focused on empirical problem solving rather than on developing principles that could inform solution approaches for other user contexts. Design Science Research (DSR) has contrib...

Background: Modern telecommunication infrastructure enables bridging of the digital divide between rural and urban healthcare services, promoting the provision of suitable medical care and support. Thus far, there has been some positive impacts to applying mobile health (m-Health) solutions, but their full potential in relation to cloud computing h...

Goods movement into the smart city is critical from economic perspective. Hence, understanding the relationship between logistics of the goods flow and smart city operations is crucial in the policy deployment of future cities. Emerging smart logistics considers the inclusion of disruptive technologies – e.g., smart sensors within Internet of Thing...

The concept of IT risk management (IT-RM) success is an important topic in IS research due to high level of uncertainty and threats, which is negatively influenced the performance of IT projects. In this paper we develop an IT risk management (IT-RM) framework based on O'Reilly et al.’s (1991) framework involving eight dimensions of culture. Each c...

Although existing data science educational programmes develop talent and produce graduates, business-focused data science curricula comprising essential skills oriented to business and managerial data with associated analysis, remain underserved. Current pedagogy has focused either on data science or on purely analytic technical aspects. There is t...

This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain...

Knowledge gained from a Decision Support Systems (DSS) design should ideally be reusable by DSS designers and researchers. The majority of existing DSS research has mainly focused on empirical problem solving rather than on developing principles that could inform solution approaches for other user contexts. Design Science Research (DSR) has contrib...

Previous research predicted that the information technology (IT) applications with the Internet of Things (IoT) based innovations will revolutionize the healthcare industry and thereby enable improvement of the real-time reporting of patients' health data. However, the adoption of IoT technology and its relevant interventions in the healthcare sect...