Determinants of User Acceptance of a Local eGovernment Electronic Document Management System (EDMS)

On numerous occasions the significant value of the investments involved in the development of eGovernment and the expectations of governmental information systems use do not correspond to the rate of effective use. This scenario makes it difficult to justify the development of electronic government by governments and local authorities among its citizens. It is therefore important to understand the factors that influence the employees' intention of using governmental information systems. With the aim of understanding the determining factors of using an Electronic Document Management System (EDMS) in the context of Portuguese municipalities, this study develops an empirical analysis using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, (Venkatesh et al., 2003). This model's application for information systems research in the governmental context has a weak expression and is unique in EDMS research. This empirical research follows a realist and positivist approach. Data was collected from a survey answered by 2,175 employees of Portuguese municipalities (EDMS users). Partial Least Squares (PLS) was used to test the model proposed. The results showed that Intention to Use is positively affected by Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions. With respect to the EDMS Use, the results showed that it is positively influenced by Intention to Use and Facilitating Conditions. The main result indicates that EDMS users believe that the use of this information system will help them to obtain performance benefits in their work. However, the increasing use of EDMS is not very influenced by the system's perceived ease of use. In short, this study provides a contribution to the Information Systems Acceptance and Adoption literature in local eGovernmental contexts. In addition, our contribution empirically tests the model for implementation in governmental organizations and provides a better understanding of the adoption and use of an EDM

Factors Influencing the Adoption of Electronic Health Records in the Australian Environment

With the widespread use of medical records and the subsequent rise in the use of electronic health records (EHRs), the success of their adoption has become an important consideration for health agencies. In the current digital environment, the adoption of EHR has become significant because it limits the use of paper trails, and the care may be more effective because it is based on the electronic transfer of patient information. However, an improvement in the quality of the healthcare service is dependent upon how well EHRs are managed in healthcare as many stakeholders will contribute to them. While the advantages of EHRs are significant and cannot be disputed, a number of concerns have been raised regarding their success, as well as the ways in which they are adopted. The diversity of factors that affect the adoption of EHRs in various contexts requires a comprehensive investigation in order to establish a precise knowledge of their adoption in various healthcare settings. Such identification will help to mitigate many issues in their organisation at policy, workflow efficiency adoption and management levels. In this study, various factors that affect the adoption of EHRs in Australia will be identified and explored so as to arrive at a conceptual model that can be empirically tested later. Considering the vast amount of resources being dedicated to the adoption of EHRs in Australia, identifying barriers to their adoption, especially on an organisational level is essential for its success. Many studies have been conducted to understand barriers to the adoption of EHRs in Australia; however, there have been few studies concentrating on an organisational level in order to explore the challenges and obstacles that face specific organisations

The Use Behavior of Tracking and Tracing Services in E-Commerce Logistics

An increasing business transaction can cause rapid growth in online shops and marketplace. One of the affected is an online shop. From several logistic services, tracking and tracing information services are the main focus in this study because online shops as the business partner have a lack of attention in these services. The objective of this study is to investigate the factors of online shop behavior in using tracking and tracing information services.This study used a unified theory of acceptance and use of technology (UTAUT) as the framework. The quantitative data were collected through questionnaires from 207 samples of online shops selling women’s fashion and listed in the marketplace. Data were analyzed using structural equation modeling (SEM) with LISREL 8.70.The result of this study found that “the intention to use” the tracking and tracing information services depend on the effort expectancy (EE) dan social influence (SI), while “user behavior” depends on facilitating condition (FC) and the intention to use. The ease of access factor and learning the tracking and tracing information services are the important factors for the intention to use, whereas electronic devices and internet network factors used by the online shops are the main factors for the user behavior. Logistics companies need to provide information services that can help the online shops in controlling their goods in a good way where the ease of access and learning become the main focus that needs attention. Furthermore, online shops need to facilitate their admins with technological devices and a good internet network to make the admins easy to access information services

An algorithm for detection of tuberculosis bacilli in Ziehl-Neelsen sputum smear images

This work proposes an algorithm oriented to the detection of tuberculosis bacilli in digital images of sputum samples, inked with the Ziehl Neelsen method and prepared with the direct, pellet and diluted pellet methods. The algorithm aims at automating the optical analysis of bacilli count and the calculation of the concentration level. Several algorithms have been proposed in the literature with the same objective, however, in no case is the performance in sensitivity and specificity evaluated for the 3 preparation methods. The proposed algorithm improves the contrast of the colors of interest, then thresholds the image and segments by labeling the objects of interest (bacilli). Each object then has its geometrical descriptors and photometric descriptors. With all this, a characteristic vector is formed, which are used in the training and classification process of an SVM. For the training 225 images obtained by the 3 preparation methods were used. The proposed algorithm reached, for the direct method, a sensitivity level of 93.67% and a specificity level of 89.23%. In the case of the Pellet method, a sensitivity of 92.13% and a specificity of 82.58% was obtained, while for diluted Pellet the sensitivity was 92.81% and the specificity 83.61%

Consumer Survey into Factors Influencing Mobile Health Monitoring Service perceptions in the UK

Mobile health monitoring services have the potential to provide individual health profiles and monitor patients’ health conditions. While there is a variety of systems and devices to help patient’s health management, there is little understanding regarding the factors that influence mobile health monitoring service perceptions. Thus, this UK study will examine the factors that influence users across different age groups towards well-being and Mobile Health monitoring services. This study applied a conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the factors that may influence the attitude towards mobile health services among consumers

Factors Influencing the Acceptance and Use of Koha Library Software in Academic Libraries of Uganda Introduction and Background of the Study

Purpose: The study aimed at investigating factors that influence acceptance of Koha Integrated Library System (ILS) and its use in academic libraries of Uganda. Design/methodology/approach: The study was based on descriptive crosssectional survey design. A representative sample of 103 was used out of the target population of 140, comprising academic librarians and ICT personnel from four academic libraries in Uganda. Structured self-completion questionnaire, semi-structured interviews and observations were used in data collection. A success response level of 78% of the questionnaires sent out was realized. Data analysis was carried out using SPSS software; to establish the significance level of the factors influencing Koha acceptance. Research limitation(s): Non-academic libraries and patrons were not part of the study population. Key finding(s): The findings from the study indicate that nine factors influence acceptance of Koha in selected academic libraries of Uganda. These include productivity, ease of use, free and open source nature of Koha, peer pressure, availability of resources, domain knowledge, awareness, anxiety and computer literacy levels. Four factors were moderating variable namely age, gender, level of education and experience. System productivity had the highest mean score of 4.20 and the least ranked factor was peer pressure with a mean score of 3.12. Practical implication(s): The study has paved way for academic librarians and managers wishing to adopt Koha in regard to the core system attributes. Contribution to knowledge: The study has contributed new knowledge in the aspect of ascertaining the factors that influence acceptance of Koha in academic libraries of Uganda, specifically system productivity, ease of use. The contribution can act as a basis for further studies

Assessing hospital physicians' acceptance of clinical information systems : a review of the relevant literature

In view, of the tremendous potential benefits of clinical information systems (CIS) for the quality of patient care; it is hard to understand why not every CIS is embraced by its targeted users, the physicians. The aim of this study is to propose a framework for assessing hospital physicians' CIS-acceptance that can serve as a guidance for future research into this area. Hereto, a review of the relevant literature was performed in the ISI Web-of-Science database. Eleven studies were withheld from an initial dataset of 797 articles. Results show that just as in business settings, there are four core groups of variables that influence physicians' acceptance of a CIS: its usefulness and ease of use social norms, and factors in the working environment that facilitate use of the CIS (such as providing computers/workstations, compatibility between the new and existing system...). We also identified some additional variables as predictors of CIS-acceptance