
Najmul HasanBRAC Business School, BRAC University, Dhaka, Bangladesh · Information Systems
Najmul Hasan
PhD MBA MSc
Self-motivated Life-long Learner
About
49
Publications
35,382
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1,120
Citations
Citations since 2017
Introduction
Additional affiliations
September 2018 - June 2022
Education
January 2013 - December 2015
University of Dhaka
Field of study
- Management Information System
Publications
Publications (49)
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...
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...
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...
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...
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...
Live stream marketing through social media has attracted the attention of digital retailing marketers in recent years. However, there is a lack of evidence in understanding the influence of in-store live stream on offline purchase intentions. This study aimed to investigate the influence patterns of environmental stimuli on consumers' intention to...
Online communities provide facilities to share public opinions and or sentiments on a wide range of subjects, from routine topics to vital issues of critical interest. Nowadays, many higher education institutions (HEIs) recognize the value of students' sentiments and evaluate users' concerns for the successful adaptation of mobile learning applicat...
The aim of this study is to investigate whether a bank’s intellectual capital (IC) efficiency impacts its performance and risk-taking behavior in an emerging economic country. The study used panel data (unbalanced) of 30 commercial banks in Bangladesh during 2002–2019. Data were analyzed through the use of the generalized method of moments (GMM) by...
The undeniable significance of production has prompted experts to explore further the competitive productivity of various nations across the globe. Despite the importance of global productivity competitiveness, prior studies have not included a comprehensive assessment of the multidimensional productivity index (MPI). Therefore, this study aims to...
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...
Even though information and communication technology (ICT) is essential for everyday life and has gained considerable attention in education and other sectors, it also carries individual differences in its use and relevant skills. This systematic review aims to examine the gender differences in ICT use and skills for learning through technology. A...
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...
Purpose
This study aims to investigate the effects of leaders’ stewardship behavior (LSB) on followers’ radical innovation (RI). Followers’ knowledge management dynamic capability (KMDC) has been a mediating role, while environmental uncertainty (EU) acted as a moderating factor in the context of the textile and apparel industry in the developing c...
Purpose: The primary objective of this study is to examine the nexus between transformational leadership (TL) and followers' radical creativity (FRC). In contrast, creative process engagement (CPE) and leader creativity expectation (LCE) was employed as a mediating and a moderator role, respectively.
Design/methodology/approach: A quantitative exp...
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...
Forecasting disease outbreaks in real-time using time-series data can help for the planning of public health interventions. We used a support vector machine (SVM) model using epidemiological data provided by Johns Hopkins University Centre for Systems Science and Engineering (JHU CCSE), World Health Organization (WHO), and the Centers for Disease C...
A critical part of the national economy is small and medium enterprises (SMEs). SME owners are vital contributors to the overall economy. Due to their limited capital and assets, they are more vulnerable. In comparison to their contribution , the value of assessing SME owner's depression, anxiety, and mental stress has been very minimal during the...
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 rapid growth of online purchasing in recent years has emphasized the accompanying role of home delivery service provided by delivery personnel in ensuring customer satisfaction. On-time delivery, better service, generating positive customer perceived value, and trust towards service providers are influential factors that contribute to customer...
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...
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...
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...
Predicting the Coronavirus epidemic, popularly known as COVID-19, that has been explored more than 200 countries and already declared as a pandemic by the World Health Organization is an invaluable task. This virus was first identified around December 2019, from central China, but later spread in the rest of the world. To ensure better healthcare s...
Purpose
The purpose of this study is to assess the key determinants of sustainability practices and policy adoption in small- and medium-sized tourism accommodation firms and its possible impact on the firm’s competitive advantages.
Design/methodology/approach
A combined model has been developed and tested with a set of relevant hypotheses based o...
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...
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...
Objectives:
Mobile health (m-Health) technologies may provide an appropriate follow-up support service for patient groups with post-treatment conditions. While previous studies have introduced m-Health methods for patient care, a smart system that may provide follow-up communication and decision support remains limited to the management of a few s...
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...
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...
There have been many literature focusing on Knowledge Management (KM) contribution to the business world, and there is still a lacuna of empirical studies related to KM and Human Resource Management (HRM) practices. This paper examines the effects of KM and HRM practices relating to the organizational performance and employee's job satisfaction lev...
Emerging digital technologies for healthcare information support have already contributed to reducing the digital divide among rural communities. Although mobile health (m-health) applications facilitate provision of support for treatment consultation in real-time, their substantial potential has not yet been operationalised for decision support to...
Indigenous peoples are being marginalised globally from a socioeconomic perspective and are often excluded from mainstream communities for social and/or geographic reasons. Historically, they tend to have lower living standards, including poor health conditions as compared to the rest of the population. Literature suggests that information and comm...
Technological advancement in general is providing better and cheaper solutions to assist the visually impaired (VI) community. Although information communication technology (ICT) has great potential to support the inclusion of VI people in educational, social and workforce settings, there are far fewer ICT projects for VI people compared to other p...
Whilst researchers and professionals recognize that M-health offers great opportunities, most existing
work has comprised individual project-based developments in specialised areas. Existing review
papers generally utilise medical literature and categories: none investigates M-health from an IS
design point of view. Identifying application areas, d...
Whilst researchers and professionals recognize that M-health offers great opportunities, most existing work has comprised individual project-based developments in specialised areas. Existing review papers generally utilise medical literature and categories: none investigates M-health from an IS design point of view. Identifying application areas, d...
Generally, people with disabilities (PWDs) experience barriers of different kinds than the people without disabilities, e.g. lower access to healthcare, education, employment, or economic participation, which are barriers to form an inclusive society. Access to information and communication technologies (ICTs) has paramount significance to remove t...
With a view to identifying the impact of knowledge management of organizational performance,
this study aims at finding the results of an exploratory and confirmatory investigation of the
organizational performance influenced by Technology, organization and knowledge. A search of
the relevant literature on knowledge management and organizational pe...
The growth of introducing mobile learning has dramatically reshaped teaching and learning processes in education (Hwang & Chang, 2011; Marwan, Madar, & Fuad, 2014; Wu, Hwang, Su, & Huang, 2012). The use of smart phones offers a powerful learning environment and can transform the learning and teaching process so that students can deal with knowledge...
The aim of this paper is to identify the factors affecting organizations adopting Human Resource Information Systems (HRIS) in the context of growing economic country. Many research works are conducted on finding the critical success factors of HRIS adoption in developing country. In this paper, attempt has been made to demonstrate the influential...
This study investigates the factors acceptance of childhood health and development of disability and the quality of everyday lives of disabilities. Exploratory factor analysis (EFA) is a widely used to identify the factors which are responsible to health and development. This research is sample based and data has been collected using a structured q...
With a view to identifying the impact of knowledge management of organizational performance, this study aims at finding the results of an exploratory and confirmatory investigation of the organizational performance influenced by Technology, organization and knowledge. A search of the relevant literature on knowledge management and organizational pe...
Learning is not only acquiring an individual perception of knowledge, but is a continuous action. Education is one of the main keys to this action and development as well as improvements in human welfare. Information and communication technology (ICT) is playing a central role in the development of modern economies, societies, cultural and educatio...
This study examines mobile internet users behavior towards telecommunication operators in Bangladesh. People in Bangladesh are becoming more familiar in using internet than past. People in various occupations and income levels are using internet intensively for their occupational purpose and personal purpose as well. There are six mobile operators...
Questions
Questions (6)
I have completed a number of empirical research project. Now a days, I am a PhD student and my new research area is Predictive Analytics using Machine Learning Tools. Can anyone please suggest me, what are the easiest way of learning? From Where Should I start? Appreciate your valuable suggestions. Thanks in Advance.
Dear Scholars,
Could you please share your experience of using Plagiarism Detector? Which one is the Best as Turnitin is not for students and maybe they do not give support for single user (For student). Advance Appreciate to your Valuables Comments .
Dear All
Have a nice day. I am planning to start my new project on Big Data Analytics in Healthcare. I am not from from Computer Science Background. I am just little bit confuse, which software uses is easier for beginners as non computer science background.
Your valuable comments are highly appreciates.
Thanks in Advance.
Projects
Projects (3)