BackgroundE-health technology applications are essential tools of modern information technology that improve quality of healthcare delivery in hospitals of both developed and developing countries. However, despite its positive benefits, studies indicate that the rate of the e-health adoption in some developing countries is either low or underutilized. This is due in part, to barriers such as resistance from healthcare professionals, poor infrastructure, and low technical expertise among others.ObjectiveThe aim of this study is to investigate, identify and analyze the underlying factors that affect healthcare professionals decision to adopt and use e-health technology applications in developing countries, with particular reference to hospitals in Nigeria.MethodsThe study used a cross sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 465 healthcare professionals randomly selected from 15 hospitals in Nigeria. We used the modified Technology Acceptance Model (TAM) as the dependent variable and external factors as independent variables. The collected data was then analyzed using SPSS statistical analysis such as frequency test, reliability analysis, and correlation coefficient analysis.ResultsThe results obtained, which correspond with findings from other researches published, indicate that perceived usefulness, belief, willingness, as well as attitude of healthcare professionals have significant influence on their intention to adopt and use the e-health technology applications. Other strategic factors identified include low literacy level and experience in using the e-health technology applications, lack of motivation, poor organizational and management policies.ConclusionThe study contributes to the literature by pinpointing significant areas where findings can positively affect, or be found useful by, healthcare policy decision makers in Nigeria and other developing countries. This can help them understand their areas of priorities and weaknesses when planning for e-health technology adoption and implementation.

Aims and Scope Eurasian Journal of Medicine (Eurasian J Med) is an international, scientific, open access periodical published by independent, unbiased, and tripleblinded peer-review principles. The journal is the official publication of

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Requirements negotiation involves discussion on the requirements conflict to have some compromise that will satisfy the participating stakeholders of a software project. The output of a requirement negotiation is a set of satisfied requirements of two or more parties. In this paper, we present a systematic review of requirements negotiation challenges. The study adopted 34 papers from the final study selection process which were analyzed based on the requirements negotiation challenges they addressed. The identified challenges are decision-making, communication, performance, managing requirement changes, and conflict resolution. The output of the study indicates that decision-making is addressed by 33% of the studies reviewed, followed by the performance with 22%, conflict resolution  with 19%, while 16% focus on stakeholders’ communication, and managing requirements changes has 10%.

Big data analytics is a significant way of improving telecommunications operators’ Quality of Service (QoS) and improve their businesses. This study was aimed at determining the impact of big data analysis in telecommunication industry and also to arouse their interest towards big data. The study used four domestic telecommunication companies as case study, namely MTN, GLO, 9Mobile and AIRTEL. The study uses survey method of data collection by using structured questionnaire. Sixteen network nodes were used in the study from four clusters. Analysis of Variance (ANOVA), Cronbach’s Alpha Coefficient using Smart – PLS, DBSCAN Algorithm was employed using google python as data analysis method. The study revealed that there is high traffic data from the telecoms and this is as a result of various user activities like internet usage and highly dense network clusters, which happened at a specific time or within a particular duration at a specified location. The findings led to a conclusion that the big data analytics can be considered as a solution to directional small cells in millimeter wave cellular networks to improve QoS. The study recommends that big data should be given due consideration and be used in making national budget and policy formulation. The study further recommends that tertiary institutions should create big data analytics training to create a platform for training and development of manpower mainly on big data analytics as is obtainable in developing and IT-driven countries.