Investigating Factors Affecting Integration Technologies Adoption in Organizations

The existing works point out that smaller organisations have been shown to have different technology adoption patterns than large ones. However, it is unclear whether Small to Medium Sized Enterprises (SMEs) and large organisations take decisions for the adoption of integration technologies by focusing on different factors. Moreover, the literature also shows that there is an absence of theoretical models that explain the adoption of Enterprise Application Integration (EAI) and Web Services in SMEs. These research issues, derived from the literature review, are taken into consideration and addressed in this paper, aiming at highlighting any significant difference in the way SMEs and large companies adopt integration technologies. In doing so, the parameters that can be used to explain the adoption of integration technologies in organizations are identified, as nature of organisations, company size, integration needs and time. These are tested through four case studies: a large organization and three SMEs

Information systems and healthcare XXIV: Factors affecting the EAI adoption in the healthcare sector

Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption

A conceptual model of enterprise application integration in higher education institutions

Copyright @ 2013 EMCIS.It is eminent that several applications’ systems are deployed at different levels in Higher Education (HE), ranging from academic and administrative to staff and students record systems. Many of these systems suffer from different problems due to the lack of integration such as data redundancy, inconsistency and maintenance cost. Enterprise Application Integration (EAI) can provide substantial benefits to these systems, such as assisting with business process integration, facilitating e-service based transformation and supporting collaborative decision-making. However, some factors that influence EAI adoption process in HE will be defined. This paper introduces a conceptual model to explain the outcome of using EAI in Higher Education Institutions (HEIs). Analyzing the combination of the existing classification of EAI factors with the HE factors will enhance the implementation of EAI in HEI at both organizational and operational levels. A pilot study at King Abdulaziz University (KAU), Kingdom of Saudi Arabia will be presented in this paper to show that the integration of the multiple information systems gives an integrated view to facilitate information access and reuse. Moreover data from different information systems is combined to gain a more comprehensive basis to satisfy the educational needs

Investigating the factors affecting information systems evaluation within sustainable environments

Copyright @ 2013 EMCIS.Currently, organizations and stakeholders are more concerned with environmental issues, thus the role of information systems (IS) and information technologies (IT) within organizations towards ecological being sustainability has changed. Environmental or Green initiatives is realized as having credibly to assist in shifting to a sustainable society. Furthermore, the elements within IS/IT evaluation including costs, benefits and risks within organizations associated with IS evaluation and sustainability are taken into account in terms of the challenges concerning green practices (Green IS/IT) leading the organizations to attempt to diminish the impact of their IS/IT operations towards the environments socially and ethically, which indirectly assist them in achieving competitive advantages competitors through adopting and implementing environmental sustainability practices. In addition, government sectors are taking a step closer in order to create awareness and incorporate green into all components of the business functions. Practitioners and scholars are motivating to use the existing frameworks and models to evaluate IS/IT initiatives with sustainability taken into perspectives. Consequently, the purpose of this paper is to critically review the normative literature associated with IS evaluation within sustainable environments and to develop a conceptual framework or model for IS evaluation within sustainable organizations that measures the impact of environmental sustainability factors and highlight a number of research gaps that need to be addressed in future research

Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adoption lifecycle phases. Literature indicates that the adoption process involves a sequence of phases an organisation passes through before taking the decision for adoption. This exemplifies that LGAs may also have to pass through several adoption phases before taking the decision to adopt EAI. However, due to the: (a) multiplicity of diverse EAI adoption factors and (b) not able to recognise which factor(s) influence EAI on adoption lifecycle phases, it may not be easy for LGAs to take decisions to adopt EAI by merely focusing on different factors. This may impede the decision making process for EAI adoption in LGAs. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. This paper makes a step forward as it: (a) investigates and proposes four adoption lifecycle phases, (b) validates the adoption lifecycle phases and (c) mapping the factors influencing EAI adoption on the adoption lifecycle phases, through a case study. Hence, it significantly contributes to the body of knowledge and practice. In doing so, providing sufficient support to the decision makers for speeding up the decision making process for EAI adoption in LGAs

Issues and challenges: cloud computing e-Government in developing countries

Cloud computing has become essential for IT resources that can be delivered as a service over the Internet. Many e-government services that are used worldwide provide communities with relatively complex applications and services. Governments are still facing many challenges in their implementation of e-government services in general, including Saudi Arabia, such as poor IT infrastructure, lack of finance, and insufficient data security. This research paper investigates the challenges of e-government cloud service models in developing countries. This paper finds that governments in developing countries are influenced by how the top management deals with the attention to the adoption of cloud computing. Further, organisational readiness levels of technologies, such as IT infrastructure, internet availability and social trust of the adoption of new technology as cloud computing, still present limitations for e-government cloud services adoption. Based on the findings of the critical review, this paper identifies the issues and challenges affecting the adoption of cloud computing in e- government such as IT infrastructure, internet availability, and trust adopted new technologies thereby highlighting benefits of cloud computing-based e-government services. Furthermore, we propose recommendations for developing IT systems focused on trust when adopting cloud computing in e-government services (CCEGov)

Fuzzification of quantitative data to predict tumour size of colorectal cancer

Regression analysis has become more popular among researchers as a standard tool in analyzing data. This paper used fuzzy linear regression model (FLRM) to predict tumour size of colorectal cancer (CRC) data in Malaysia. 180 patients with colorectal cancer received treatment in hospital were recorded by nurses and doctors. Based on the patient records, a triangular fuzzy data will be built toward the size of the tumour. Mean square error (MSE) and root mean square error (RMSE) will be measured as a part of the process for predicting the size of the tumour. The degree of fitting adjusted is set between 0 and 1 in order to find the least error. It was found that the combination of FLRM model with fuzzy data provided a better prediction compared to the FLRM model alone. Hence, this study concluded that the tumour size is directly proportional to several factors such as gender, ethnic, icd 10, TNM staging, diabetes mellitus, Crohn’s disease

Innovation attributes and managers' decisions about the adoption of innovations in organizations: A meta-analytical review

The adop­tion of in­no­va­tions has emerged as a dom­i­nant re­search topic in the man­age­ment of in­no­va­tion in or­ga­ni­za­tions, al­though in­ves­ti­ga­tions of­ten yield mixed re­sults. To help man­agers and re­searchers im­prove their ef­fec­tive­ness, the au­thors em­ployed a meta-analy­sis in­te­grated with struc­tural equa­tion mod­el­ing to an­a­lyze the as­so­ci­a­tions be­tween the at­trib­utes of in­no­va­tions, man­agers' be­hav­ioral pref­er­ences, and or­ga­ni­za­tions' in­no­va­tion adop­tion de­ci­sions in a me­di­ated-mod­er­ated frame­work. Our find­ings of­fer ev­i­dence that at­trib­utes of in­no­va­tions in­flu­ence man­agers' be­hav­ioral pref­er­ences and, con­se­quently, adop­tion de­ci­sions in or­ga­ni­za­tions. We also ob­serve the sig­nif­i­cance of the con­text in which the adop­tion de­ci­sion oc­curs as well as the re­search set­tings em­ployed by schol­ars. Fi­nally, we dis­cuss the the­o­ret­i­cal con­tri­bu­tion and prac­ti­cal im­pli­ca­tions of our meta-an­a­lyt­i­cal re­sults

Co-innovation: the future of telemedicine in developing countries

Telemedicine which has been widely adopted in developed countries to reach all its citizens irrespective of their location is only being used for education purposes or disaster relief in developing countries. Since developing countries already suffer inadequate healthcare provision especially in remote areas, it would be essential to implement telemedicine practices for daily clinical uses rather than education use. This research argues that to understand the future of telemedicine in developing countries, both well-established technology innovations adoption factors as well as co-innovation factors should be addressed. In the context of healthcare provision, we propose a conceptual framework that integrates the healthcare resources and the organisational affiliations in co-innovation