The Influence of Technostress Factors on Information System Success

Information systems (IS) are one of the factors that catalyze the success of an organization. Apart from assisting in the delivery process, the system can also affect the nature of its users which in turn will also affect the level of delivery of the organization. Mathematical Communication Theory has stated that in the process of conveying information, there are disturbances that will disrupt the communication process and one of them is psychological disorders. Psychological disorders related to technology, ie technostress are seen as very synonymous and can affect the user’s behavior of the systems. Indirectly, it can also affect the level of productivity and quality of delivery of an organization. Ironically, studies looking at this issue are missing, hence the motivation of this paper to propose technostress factors and investigate its relationship in information system success. Therefore, the main objective of this study is to study the effect of technostress factors and its impact on the system success. This study was conducted using a quantitative approach where questionnaires are used as a medium for data collection. The results of this study prove that the dimension of psychological influence (technostress) introduced as a new dimension has had a significant impact on the information systems success. The most important contribution of this study is the combination of two fields of study, namely the field of information system and the field of psychology in producing a model of information system success that is able to measure the success of an information system more comprehensively.

A Survey of Machine Learning Techniques for Video Quality Prediction from Quality of Delivery Metrics

A growing number of video streaming networks are incorporating machine learning (ML) applications. The growth of video streaming services places enormous pressure on network and video content providers who need to proactively maintain high levels of video quality. ML has been applied to predict the quality of video streams. Quality of delivery (QoD) measurements, which capture the end-to-end performances of network services, have been leveraged in video quality prediction. The drive for end-to-end encryption, for privacy and digital rights management, has brought about a lack of visibility for operators who desire insights from video quality metrics. In response, numerous solutions have been proposed to tackle the challenge of video quality prediction from QoD-derived metrics. This survey provides a review of studies that focus on ML techniques for predicting the QoD metrics in video streaming services. In the context of video quality measurements, we focus on QoD metrics, which are not tied to a particular type of video streaming service. Unlike previous reviews in the area, this contribution considers papers published between 2016 and 2021. Approaches for predicting QoD for video are grouped under the following headings: (1) video quality prediction under QoD impairments, (2) prediction of video quality from encrypted video streaming traffic, (3) predicting the video quality in HAS applications, (4) predicting the video quality in SDN applications, (5) predicting the video quality in wireless settings, and (6) predicting the video quality in WebRTC applications. Throughout the survey, some research challenges and directions in this area are discussed, including (1) machine learning over deep learning; (2) adaptive deep learning for improved video delivery; (3) computational cost and interpretability; (4) self-healing networks and failure recovery. The survey findings reveal that traditional ML algorithms are the most widely adopted models for solving video quality prediction problems. This family of algorithms has a lot of potential because they are well understood, easy to deploy, and have lower computational requirements than deep learning techniques.

Evaluation of the partners in research course: a patient and researcher co-created course to build capacity in patient-oriented research

Background In the past decade, patient-oriented research (POR) has been at the forefront of healthcare research in Canada because it has the potential to make research more meaningful and relevant to patient needs. Despite this growing emphasis on and expectation to conduct POR, there is limited guidance about how to apply POR in practice. To address this capacity building need, the Knowledge Translation (KT) Program and patient partners co-designed, delivered, and evaluated Partners in Research (PiR), a 2-month online course for patients and researchers to collectively learn how to conduct and engage in POR. Methods PiR was delivered to 4 cohorts of patients and researchers between 2017 and 2018. For each cohort, we evaluated the impact of the course on participants’ knowledge, self-efficacy, intentions, and use of POR using surveys at 3 time points: baseline, post-course and 6-months post-course. We also monitored the process of course design and delivery by assessing implementation quality of the PiR course. Participants were asked to rate their satisfaction with course format, course materials, quality of delivery and their level of engagement via a 7-point Likert scale in the post-course survey. Results A total of 151 participants enrolled in the PiR course throughout the 4 cohorts. Of these, 49 patients and 33 researchers (n = 82 participants) consented to participate in the course evaluation. Process and outcome evaluations collected over a 9-month period indicated that participation in the PiR course increased knowledge of POR concepts for patients (p < .001) and for researchers (p < .001) from pre-course to post-course timepoints. Likewise, self-efficacy to engage in POR increased from baseline to post-course for both patients (p < .001) and researchers (p < .001). Moreover, participants reported high levels of satisfaction with content, delivery and interactive components of the course. Conclusions The PiR course increased capacity in POR for both researchers and patients. This work enhances our understanding of how to design useful and engaging education opportunities to increase patient and researcher capacity in POR.

Caregiver Intervention Implementation Fidelity: An Empirical Investigation of a Multidimensional Model

The extant literature on implementation fidelity has found mixed evidence for empirically establishing the dimensionality of implementation fidelity. The current study aims to add to this growing body of literature by examining implementation fidelity in a book-reading intervention for young children’s caregivers. Caregivers ( n = 291) implemented Sit Together and Read 2 (STAR 2) with their preschool-age children. These data indicated that implementation fidelity was determined to be a four-dimensional construct including adherence/dose, quality of delivery, participant responsiveness, and program differentiation. The main findings of this work are twofold: (a) implementation fidelity is a more complex construct than some previous descriptions, and (b) early childhood education research should aim to report on all aspects of implementation fidelity.

Implementation of a Novel Malaria Management Strategy Based on Self-testing and Self-treatment in Remote Areas in the Amazon (Malakit): Confronting a-priori Assumptions With Reality

Background: An innovative strategy to combat malaria was tested with a methodology adapted to a complex setting in the Amazon region and a hard-to-reach, mobile population. The intervention strategy tested was the distribution, after training, of self-diagnosis and self-treatment kits to gold miners who cross the Surinamese and Brazilian borders with French Guiana to work illegally in the remote mining sites in the forest of this French overseas territory. The main evaluation criterion was the reported behavioral change in case of malaria symptoms, measured by pre- and post-intervention surveys. Method: This article informs on the quality of delivery, content adherence and facilitation strategies, exposure to the intervention, participants responsiveness and unintended consequences. The information sources are the post-intervention survey, a short data collection carried out in a very isolated gold mining site, continuous data collection during the intervention, observations made during supervision visits, and in-depth feedback from the project players. Results and Discussion: As expected, being part of or close to the study community was an essential condition for facilitators to overcome the usual wariness of this population. Regarding the content of the delivered messages, the main issue with facilitators was the excess of information rather than the omission of information but was corrected over time. The content of the intervention was overall in line with what was planned. With an estimation of one third of the population reached, the exposure was satisfactory considering the challenging context, but improvable by increasing ad hoc offsite distribution according to the needs. Participants’ responsiveness was the main strength of the intervention but could be enhanced by reducing the duration of the process to get a kit, which can be disincentive in some places. The expected decrease in malaria became a source of reduced interest in the kit. Expanding the remit of facilitators may be a suitable response. Better integration of the articulation with the existing malaria management services is recommended for sustainability.Conclusion: These findings provide valuable implementation outcomes to complement the evaluation outcomes for assessing the relevance of the strategy and information useful to sustain and transfer it in analogous contexts.Trial registration: ClinicalTrials.gov Registration number: NCT03695770Date of registration: 10/02/2018 “Retrospectively registered”

Table Reservation and Meal Ordering System Using QR Code

At present, people have been waiting anxiously for the system that will satisfy their needs more clearly. The majority of the companies in the restaurant sector is looking for some software that improves the quality of delivery and increasing revenue. In a typical system, the waiter records the customer's order, and then put the order in to the kitchen, and then billing is done, which spends a lot of time and might lead to errors. The goal of this project is to automate the process of ordering food from the table in a restaurant and reserving a table, as well as to improve the quality of their customer service. Smart Restaurant is a concept of a restaurant's business that is based on the use of state-of-the-art technology from reservation to the order and the customer sign a relationship with you. The traditional restaurant will be replaced with the help of a smartphone, a tablet, or a graphical user interface and interactive touch screens. Customers will have to order their food via mobile phones by scanning a QR code on a table, as they are directly linked to the kitchen via a central server. In addition, our records are permanently stored on a central server, which can then be used for the marketing, distribution and sales. A smart restaurant, decrease the number of staff who work at the hotel-services, so as to increase the profit margins. The kitchen is going to be one of the interfaces which will be provided in accordance with the following priority (first-come-first-served). This app will help you to find more detailed information on the restaurant and its services, as well as the ease of ordering food and reservation table.

Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach

With the rapid development of e-commerce and information technology, the express package volume in the Chinese market keeps an explosively increasing tendency. Terminal delivery plays a significant role on the business and reputation promotion of express brand. To identify the service quality of delivery service, an integrated SERVUQAL-AHP-TOPSIS approach is developed to evaluate the quality of service (QoS) of the city express industry. Firstly, the QoS criteria system is established through SERVQUAL-based dimensions. Secondly, the AHP method is employed to derive the relative weights of criteria. Then, the two stages are embedded into the TOPSIS steps to evaluate the service quality of the express alternative. An application case study is conducted following the detailed steps of the proposed integrated decision-making framework, and results demonstrate the effectiveness and validity of the proposed approach on the QoS of terminal delivery evaluation problem.

Clinical Guidelines for Managing Hearing Loss as a Complication of Drug-Resistant Tuberculosis Treatment: An Evaluation of Implementation fidelity in Kano, Nigeria

Background: Nigeria has a high burden of Tuberculosis (TB) including Drug-resistant Tuberculosis (DR-TB) and hearing lossObjective: To measure the implementation fidelity of management guidelines for hearing loss resulting from DR-TB treatment and to identify its determinants Method: A questionnaire-based cross-sectional study was conducted at the Infectious Disease Hospital, Kano. Implementation fidelity of the Programmatic Management guidelines for the treatment of Drug-resistant Tuberculosis was measured under the four domains of content, coverage, duration and frequency. The determinants examined are intervention complexity, facilitation strategies, quality of delivery and participant responsiveness as proposed by the Carroll et al framework. Other determinants used are age, sex, professional cadre and work experience of healthcare providers.Results: The Implementation fidelity score ranged from 40 - 64% with a mean of 47.6%. Quality of delivery, intervention complexity, participants’ responsiveness, and being a medical doctor exerted a positive effect on implementation fidelity while facilitation strategy, age and work experience exerted a negative effect on implementation fidelity. Conclusion: The implementation fidelity of management guidelines for hearing loss resulting from DR-TB treatment was low. Implementation fidelity should be assessed early and at intervals in the course of implementing the PMDT guideline and indeed, in the implementation of any intervention.

PARENTAL ATTITUDES TOWARDS VACCINE PREVENTION DURING THE COVID-19 PANDEMIC

Целью данного исследования было изучить отношение родителей к вакцинации детей. Меры вакцинопрофилактики для предотвращения распространения инфекционных заболеваний всегда горячо обсуждаются среди населения, и эта тема становится все более актуальной во время нынешней пандемии COVID 19. В настоящее время растет число родителей отрицательно относящихся к вакцинации, и это обусловливает растущую необходимость уделять особое внимание и повышению качества проведения санитарно-просветительских работ среди данной группы населения. The aim of this study was to examine the attitude of parents towards vaccination of children. Vaccine prevention measures to prevent the spread of infectious diseases are always hotly debated among the population, and this topic becomes more and more relevant during the current COVID 19 pandemic. Currently, there is an increasing number of parents who have a negative attitude to vaccination, and this leads to a growing need to pay special attention and improve the quality of delivery of sanitary and educational work among this population group.