While mobile marketing is widely practised in developed countries, this is not always the case for developing countries, such as Jordan, where the acceptance level for mobile marketing remains low. This study aims to uncover the predictors for the behaviour of Jordanian customers with regard to the acceptance of mobile marketing. For this purpose, a questionnaire based on quantitative research was conceived. This investigation involved the unified theory of acceptance and use of technology (UTAUT2), which was extended to include two additional variables: 'trust' and 'risk'. For the empirical testing of the model, data was collected from 321 respondents, and the hypotheses were tested through variance-based structural equation modelling. SmartPLS 3.0 was used to analyse the data. The findings from this study suggest that performance expectancy, effort expectancy, hedonic motivation, social influence, price value, facilitating conditions, habit and risk significantly influence the behavioural intention of customers regarding the adoption of mobile marketing. On the other hand, the trust factor was found to be an insignificant predictor in this area.

No abstract

This paper proposes a smart real-time health monitoring structured for hospitals' distributor based on wearable health data sensors. Health data were received from multiple heterogeneous wearable sensors, such as electrocardiogram (ECG), oxygen saturation sensor (SpO2), blood pressure monitor, and non-sensory measurement (text frame), from 500 patients with different symptoms. Triage level and healthcare services were identified based on the new four-level remote triage and package localization (4LRTPL). The numbers of healthcare services that represent hospital status were collected from 12 hospitals located in Baghdad city. This study constructed a decision matrix based on the crossover of ''multi-healthcare services'' and ''hospital list'' within Tier 4. The hospitals were then ranked using multicriteria decision-making (MCDM) techniques, namely, integrated analytic hierarchy process (AHP) and vlsekriterijumskaoptimizacija i kompromisnoresenje (VIKOR). Mean ± standard deviation was computed to ensure that the hospital ranking undergoes systematic ranking for objective validation. This research provided scenarios and checklist benchmarking to evaluate the proposed and existing health recommender frameworks. Results corroborated that: 1) the integration of AHP and VIKOR effectively solved hospital selection problems; 2) in the objective validation, significant differences were recognized between the scores of groups, indicating that the ranking results were identical; 3) in evaluation, the proposed framework exhibited an advantage over the benchmark framework with a percentage of 56.25%; and 4) hospitals with multiple healthcare services received the highest ranks, whereas hospitals with fewer healthcare services received low ranks.INDEX TERMS Real-time remote monitoring, hospital management, hospital selection, chronic heart, healthcare services, triage, wearable health sensor.

The emerging technology breakthrough of the Internet of Things (IoT) is expected to offer promising solutions for indoor/outdoor healthcare, which may contribute significantly to human health and well-being. In this paper, we investigated the technologies of healthcare service applications in telemedicine architecture. We aimed to resolve a series of healthcare problems on the frequent failures in telemedicine architecture through IoT solutions, particularly the failures of wearable body sensors (Tier 1) and a medical center server (Tier 3). For improved generalisability, we demonstrated an effective research approach, the fault-tolerant framework on mHealth or the so-called FTF-mHealth-IoT in the context of IoT, to resolve essential problems in current investigations on healthcare services. First, we propose a risk local triage algorithm known as the risk-level localization triage (RLLT), which can exclude the control process of patient triage from the medical center by using mHealth and can warn about failures related to wearable sensors. RLLT performs this initial step towards detecting a patient's emergency case and then identifying the healthcare service package of the risk-level. Second, according to the risk-level package, our framework can aid decision makers in hospital selection through multi-criteria decision making (MCDM). Accordingly, mHealth can connect directly with the servers of distributed hospitals to ascertain available healthcare services for the risk-level package in those hospitals. The time of arrival of the patient at the hospital (TAH) is considered for each hospital to reach a final decision and select the appropriate institution in case of medical center failure. This paper used two datasets. The first dataset involved 572 patients with chronic heart disease. Their triage levels were evaluated using our RLLT algorithm. The second dataset included hospital healthcare services with two levels of availability within distributed hospitals to show variety when testing the proposed framework. The former dataset is an actual dataset of services collected from 12 hospitals located in the capital Baghdad, which represents the maximum level of availability. The latter is an assumption dataset of the services within the 12 hospitals located in the capital Kuala Lumpur, which represents the minimum level of availability. Subsequently, the hospitals were prioritized using a unique MCDM method for estimating small power consumption, namely, the analytic hierarchy process (AHP), based on a crossover between the ''healthcare services package/TAH'' of each hospital and the ''hospital list''. The results showed that the AHP is effective for solving hospital selection problems within mHealth. The implications of this study support the patients, organizations, and medical staff in a modern lifestyle.INDEX TERMS Telemedicine, Internet of thing, healthcare, triage, hospital selection, medical centre failure.

This study aimed to identify the factors influencing on electronic banking services provided by Jordanian banks. Perceived usefulness, ease of use, trust, privacy and security and convenience are the factors investigated in this study. A sample of 300 clients working at King Abdullah University Hospital staff who were active bank accounts in different local banks in Jordan was selected, randomly. To collect the primary data, the study used a questionnaire design based on a 5-point scale. Results of the study found that perceived usefulness, ease of use, trust and privacy directly and positively influenced on e-banking usage. Convenience was found to have no effect on e-banking services. The study recommends that an understanding the factors affecting e-banking is very essential for the practitioners who seek new ways of banking services in the current competitive environment.