Hidayah Sulaiman

Factors affecting the adoption of integrated cloudbased e- health record in healthcare organizations: a case study of Jordan

Cloud computing is one of the most prominent technological trends as it allows modernization of healthcare organization. The purpose of this study is to explore the factors that affect adoption of integrated cloud-based e-health record EHR system in healthcare organizations in Jordan based on TOE framework. The study is done by conducting interviews with IT experts in healthcare organization in Jordan. The three contexts of TOE that affect adoption of cloud-based EHR are: Technological context “privacy, security, and reliability”, Organizational context “top management support, and technology readiness”, and Environmental context “government policy, legal environment, and competition”.

Social media for environmental sustainability awareness in higher education

Purpose The explosion of social media use such as Facebook among higher education students is deemed to have great potential in widely disseminating environmental sustainability awareness. The paper aims to capture, summarise, synthesise and comment on the role of social media to garner interest of students and staff on environmental sustainability issues. Design/methodology/approach Systematic literature review technique is adopted, and three selected online databases were searched for relevant papers for review. Specific data were extracted from each paper, and the discussion section was based on the developed research questions. Findings Higher education needs to fully leverage the ubiquity of social media to extend how environmental sustainability is viewed by the students and staff. Sustainability practices conducted at the university level such as recycling, reduction of electricity and water consumptions and paper reduction in classroom and used to engage students on environmental matters. For staff, social media can be leveraged as to convey the university policy and assist in their quest to become full-fledged green universities. Research limitations/implications Some of the limitations of this research include the lack of keyword search using synonyms or related terms equivalent to the term “awareness”, lack of forward and backward searches, and the papers were searched until end of 2013 only. Future research needs to take advantage of the current limitations to investigate this topic and be empirically supported by theories using quantitative, qualitative or mixed-method-based research. Future studies could also develop relevant frameworks to propose an effective use of social media for creating environmental sustainability awareness in higher education. Practical implications Propagations of environmental sustainability awareness in higher education would be more effective with the use of social media. Social implications In principle, the increase of environmental awareness level would increase the students’ good behavioural conduct on environmental sustainability. Originality/value While the broad topic of environmental sustainability in higher education is widely discussed, the role of social media in shaping environmental sustainability awareness is still under researched. This situation provides a significant potential for exploration by sustainability researchers to craft their investigation on the effective role of social media in creating environmental awareness in higher education.

Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System

Business Intelligence (BI) is relatively a new evolving research topic, it lacks to develop its own theoretical foundations. This study aims to propose theoretical framework of BI system success which combines together the critical success factors (CSFs) for BI system with quality constructs as a measurements to assess BI success. This study contributes to the body of knowledge by adding a new organizational factors such as user empowerment and organizational structure as a CSFs for BI system.

Big data maturity model for Malaysian zakat institutions to embark on big data initiatives

Organizations worldwide are dealing with immense growth of data at a huge speed hence making it difficult to manage. The main difficulty in handling such large amount of data is due to the five big data concepts involving volume, velocity, variety, veracity and value which increases rapidly in comparison to the computing resources. One of the arms of the government which holds the responsibility of managing the almsgiving or zakat is currently facing similar issues with the growing amount of data on zakat payers, zakat distribution and various zakat recipients. The overwhelming amount of data must be carefully managed by the zakat institution and the appointed zakat fund trustee. Zakat data resides in massive, unstructured information, largely in various forms of numeric, text and imagery. Hence, there exist a need for zakat institutions to have better data management mechanism namely to coordinate and govern data between the zakat institution and zakat fund trustee offices. This study proposes a big data maturity model to gauge the readiness of zakat institutions to embark into the big data evolution. The proposed model also aims to provide the zakat institution with more structured processes of managing the high volume of data in order to provide better reporting transparency, making well-informed decisions and instill better trust from the Islamic community on better zakat management and distribution.

Information security governance model to enhance zakat information management in Malaysian zakat institutions

Zakat or better known as almsgiving is one of the major Islamic principles which is obligated to qualified Muslims. The almsgiving principle aims to assist the needy and eliminate poverty in the society whilst promoting the elimination of greed and selfishness among the Muslim community. The government also holds the responsibility of creating a zakat institution to ensure effective management of the zakat distribution and management. However, due to the growing number of working Muslims and various sources of zakat providers to be managed, this creates an overwhelming amount of information to be carefully managed by the zakat institution and its appointed zakat fund trustee. There exist and information gap when the public demands the zakat institutions to have better transparency in the distribution of zakat especially when various issues are identified with the validity of the zakat information. Hence, there is a need for the zakat institution to have better information security mechanism between the zakat institution and the zakat fund trustee offices. This study proposes an information security governance model for the management of zakat information by testing the correlation between human behavior traits and security governance mechanism with goal congruence and reduction of information asymmetry. The proposed model also aims to provide the zakat institution with a more structured processes of managing the security of the information in order to provide better reporting transparency, making well-informed decisions and instill better trust from the Islamic community with regard to better zakat management and distribution.

A Fuzzy Logic Based Risk Assessment Approach for Evaluating and Prioritizing Risks in Cloud Computing Environment

Cloud computing is an innovative and popular paradigm in information technology. It delivers on-demand services by offering numerous advantages such as reduced management effort and efficient resource usage which would lead to economic saving. However, the associated flexibility and elasticity have caused many information security issues in a business environment. In such scenarios, all risk factors must be managed based on their probable effects on assets. Moreover, risk assessment as a core of risk management, estimates and prioritizes risks to reduce their impact and maximize the benefits of cloud computing for system providers and clients. In this paper, we adopt fuzzy logic to deal with insufficient information and estimate the severity and the likelihood of each risk mathematically. The aim of this paper is to develop a conceptual model to prioritize risks based on severity and probability. For estimating risk, human knowledge and expertise need to be integrated into role based circumstance. As a result, fuzzy logic is presented in this paper and the incenter on centroid method is proposed to convert linguistics data to numerical value in order to quantify the rate of risk. On the other hand, fuzzy logic has been used to deal with human experience as insufficient information to obtain the quantitative data due to the risk characterizing factors.

Healthcare Information Systems (HIS) Assimilation Theory

This chapter considers how assimilation theories can be used to explain success with the adoption and use of healthcare information systems in public hospitals. A number of authors have explored the applicability of innovation assimilation theory, technology-organisation-environment model and resource-based theory to the IS/IT domain, mainly at a conceptual level. Overall they infer that stages of assimilation begin from the organisation’s initial evaluation to its formal adoption and end with a well-accepted deployment of the system to a point where it becomes part of the value chain activities in the organisation. This paper is based on in-depth single case study research in a public healthcare facility, which identified global and local barriers to the assimilation of the HIS, with the people, process, technology and environment components as key facilitators for success. These factors together provide the motivation for this study in developing a technology innovation assimilation model for hospitals to successfully assimilate their healthcare information systems (HIS). Successfully assimilating HIS is also seen as having a possible impact on decreasing technology, organisation, environment and process issues pertaining to acquisition and deployment.

Predictive Modeling for Dengue Patient’s Length of Stay (LoS) Using Big Data Analytics (BDA)

Big data analytics (BDA) in healthcare has become increasingly popular as it offers numerous benefits healthcare stakeholders including physicians, management and insurers. By using dengue epidemic as a case, we identified patient’s length of stay (LoS) as a parameter for the efficiency of care and potentially optimize hospital costs. This paper reports findings from two healthcare facilities based in Malaysia, which recorded 9,261 dengue patients in the year 2014. The main purpose of this study is to provide descriptive analysis and propose big data analytics modeling technique to determine and predict LoS of dengue patients. Demographic data such as age, gender, admission and discharge date have been identified as factors that contribute to the prediction of LoS. The suggested predictive modeling technique may improve resource planning through the use of simple decision support system. Recommendations of this study may also assist the expectation of healthcare facilities on their patient’s LoS.

Identification of factors influencing G2C services acceptance in developing countries

The interest in providing accessible public services has increased in the recent years. The advent of Electronic government (E-government) projects promises to provide huge benefits for citizens. One of the most important types of e-government services is the government to citizen (G2C) applications providing public electronic services (e-services) to citizens by the government. The purpose of this paper is to identify the factors that influence the acceptance and use of G2C services in developing countries. Literature was reviewed and based on the preliminary analysis; findings indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, trust in internet, and trust in government are the most frequent factors that have been used by researchers to explain the citizen behavior of accepting and use of G2C services. Based on the findings of the literature, the future work for this study is explained and limitations are highlighted.

Assimilation of Healthcare Information Systems (HIS): An Analysis and Critique

The assimilation of information systems throughout the healthcare industry has increased dramatically since it is now perceived that Information Systems/Information Technology (IS/IT) will be able to bring about immense benefit to medical personnel in delivering better services. However, the enthusiasm of having new information systems implemented usually deteriorates dramatically once the system is acquired. This causes a major issue in the assimilation of the newly implemented technology which could provide a negative impact on the successful use of the information system. This study describes the design and preliminary analysis on the technology innovation assimilation issues in a healthcare setting with the aim of developing a technology innovation assimilation model for hospitals to successfully assimilate and sustain the use of the healthcare information systems. Findings indicate that there are various technology, organization and environment elements that should be considered and also barriers that relevant healthcare factions need to overcome in order to successfully assimilate the healthcare information systems.