Continued Use Of Technology Research Articles

기술융합형 웹툰 서비스의 지속적 사용에 영향을 미치는 요인 연구

This study aims to identify the factors influencing the continuous use of technology-converged webtoons by users through the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2). The influence of webtoons as a media form is increasing, and they are evolving into technology-converged webtoons, such as smarttoons optimized for mobile environments and cuttoons designed for sharing on social media. The study investigated the factors influencing the continued use of technology -converged webtoons by categorizing them into technical attributes (effort expectancy, social influence, facilitating conditions, recommendation services) and psychological factors (hedonic motivation, price value, habit). The research findings revealed that, within the technical attributes, effort expectancy positively impacted the sustained use of technology-converged webtoons. Furthermore, within the psychological factors, hedonic motivation, price value, facilitating conditions, and habit were found to have a positive influence on the continuous use of technology-converged webtoons. Through this study, it was determined that users of technology-converged webtoons are more likely to continue using webtoons due to psychological factors rather than technical attributes. Additionally, the study highlighted the importance of the price value factor, noting that users perceive the price of technology -converged webtoons as “reasonable,” offering “good value for money” and providing “utility.” Based on these findings, it is expected that this study will serve as valuable data for the future developmental growth of the webtoon industry.

Using emotions to cast light into the “black-box” of user adaptation and continued use of health information system

Although emotions are often evoked when medical professionals are required to employ new systems at work, their roles in information system post-adoption literature are relatively less examined. We draw on appraisal theories of emotions to unveil the emotional mechanisms underlying medical professionals' behaviors at different post-adoption stages. Results from data collected from a two-round survey demonstrate the roles of emotions such as irritation, interest, and satisfaction in explaining user adaptation at the initial post-adoption stage and the role of emotions such as pride and satisfaction in determining the continued use of technology following user adaptation at the later post-adoption stage.

Overcoming Remote Leadership Challenges: Lessons Learned from Covid-19

The purpose of this study is to determine how leaders are overcoming remote work and team management challenges while navigating the pandemic context that we are now facing. The relevance of this research is based on the approach to leadership theory, articulating them with the remote work and teams management theories. To formulate the research problem, we considered two analytical dimensions, remote leadership and the competencies anchored, which help to understand how nowadays leaders adapt to remote-work throughout the Covid-19 pandemic. A qualitative method was applied, and interviews by questionnaire were conducted to obtain 40 responses. As teams suddenly were pushed into remote work settings, valuable opportunities have arisen to learn more about: (1) which are the most used and intuitive digital tools, (2) which are the main challenges faced by leaders, (3) what their teams expect from them when facing a crisis. The results show that remote leadership is crucial while moving forward to Society 5.0 as technology becomes more and more present in our lives (Fukuda, 2020), the existence of three dimensions that need work while promoting work-life balance, and developing the right soft skills to help teams. The main goal of this study is centered on the research of relevant leadership competencies, practices, and techniques that can contribute to overcoming the challenges that may arise in remote team settings and contribute to the body of knowledge on the subject of Covid-19. The findings point out the belief or disbelieve of remote work efficacy, the new role of managers and the continuous use of technology for the development of their daily work, and the renovation of skills to have better performance.

Outcomes of Mayo Clinic reBoot camps for postimplementation training in the electronic health record.

ObjectiveAfter a new electronic health record (EHR) was implemented at Mayo Clinic, a training program called reBoot Camp was created to enhance ongoing education in response to needs identified by physician leaders.Materials and MethodsA reBoot camp focused on EHR topics pertinent to ambulatory care was offered from April 2018 through June 2020. There were 37 2-day sessions and 43 1-day sessions, with 673 unique participants. To evaluate outcomes of the reBoot camp, we used survey data to study baseline, immediate, and long-term perceptions of program satisfaction and self-assessed skills with the EHR. The study was conducted among practitioners at a large ambulatory practice network based in several states. Data were collected from April 2018 through January 2021. We analyzed automatically collected metadata and scores that evaluated the amount of personalization and proficiency of use.ResultsConfidence in skills increased by 13.5 points for general EHR use and was significant in 5 subdomains of use (13–18 point improvement). This degree of user confidence was maintained at the 6-month reassessment. The outcomes of configuration and proficiency scores also improved significantly.DiscussionOngoing education regarding EHR tools is necessary to support continued use of technology. This study was novel because of the amount and breadth of data collected, diversity of user participation, and validation that improvements were maintained over time.ConclusionsParticipating in a reBoot camp significantly improved user confidence in each domain of the EHR and demonstrated use of best-practice tools. Users maintained gains at the 6-month evaluation phase.

The two perfect scorers for technology acceptance

This research paper examines the acceptance of technology for learning by senior secondary school students and university newcomers. The objectives of the study are to measure the computer competency, computer self-efficacy of selected student cohorts on the acceptance of technology for learning. The study uses the extended Technology Acceptance Model (TAM) with two additional attributes, computer competencies and computer self-efficacies to examine students’ behavior towards learning with technology. Two sets of data were collected; one was from Year 12 and Year 13 students from 33 secondary schools in Fiji, and the other from newcomers of a regional university in the South Pacific. The cohorts were surveyed with a unipolar Likert scale 1–5 questionnaire. The results were analysed using the “Statistical Package for the Social Sciences” – SPSS software and the proposed extended TAM model was analysed using the Smart Partial least squares (SmartPLS) software. The results from the regression analysis confirmed that the two attributes had a significant positive impact on the acceptance of the technology, that is, computer competency and computer self – efficacy were significant predictors of students’ intention to continue using technology for learning. Therefore, a new model incorporating the two perfect scorers is designed and presented in this paper. The high values for Cronbach’s alpha also show that the results were reliable and valid. Finally, the study shows that computer competencies and computer self-efficacies are essential contributors to the continuous use of technology for learning.

Junior secondary students’ acceptance and continuance of e-learning system use: a multi-group analysis across social backgrounds

ABSTRACT Although previous research into adults’ acceptance or continued use of technology has been extensive, there is a lack of research study that investigated e-learning systems acceptance and continuance of teenagers with different social backgrounds. This study aimed to explore the cognitive, emotional, and behavioural factors that motivate teenagers’ acceptance and continuance of e-learning system use, and to compare such system use behaviours across teenagers with different social backgrounds. Drawing on the theory of reasoned action, the technology acceptance model, and the expectation-confirmation model, a research model was proposed and tested using data from a three-wave longitudinal survey on 1182 junior secondary students. Structural equation modelling (SEM) was used to test the model with the entire sample. The results showed that perceived ease of use, peer subjective norm, and teacher subjective norm were strong motivators of behavioural intention at all use stages. Multi-group SEM analysis was conducted across teenagers with different gender, experience, and socio-economic status. The results showed significant path differences in all group comparisons, revealing the existence of social divides in the modelled relationships. The majority of these path differences were found in the relationships between satisfaction and its antecedent variables. The findings and implications are discussed.

Model Persepsi Penggunaan Media Sosial pada Perkuliahan dengan Modifikasi Task Technology Fit dan Expectation Confirmation Theory

The acceptance of information technology in the field of education becomes an interesting thing to discuss. Successful implementation of information technologies New Romany to support learning depends on continuance uses. It is believed that this is influenced by the satisfaction and task-fit of the technology used. Facebook is the most popular social media among students. This study aims to propose a model of satisfaction and task-fit perceptions of the use of social media in education. Research begins with a discussion of the theoretical framework, the identification of factors, develop models and research instrument. This study proposed models developed by adopting the Task-Technology Fit and Expectation-Confirmation Theory. To build the model, five constructs have been chosen such as perceived task-fit, utilization, service quality, satisfaction and confirmation on intention to continuous use of technology. Besides that, base the theory that used in this research some hypothesis has formulated.

The Technology Integration Model (TIM). Predicting the continued use of technology

The human-computer relationship is often convoluted and despite decades of progress, many relationships relating to continued use are unclear and poorly defined. This may be due to a lack of interdisciplinary collaboration, especially from a theoretical standpoint between computer science and psychology. Following a review of existing theories that attempt to explain continued technology use, we developed the Technology Integration Model (TIM). In sum, the main objective of TIM is to outline the processes behind continued technology use in an individual's everyday life. Here we present the model alongside a description of its scope and the relationships between constructs. This can help generate research questions relating to technology use while simultaneously addressing many previous shortcomings of existing models. As a unifying theory, TIM can quickly be adopted by researchers and developers when designing and implementing new technologies.

Use of a Mobile App to Facilitate Blood Glucose Monitoring in Adolescents With Type 1 Diabetes: Single-Subject Nonrandomized Clinical Trial.

BackgroundCloud-based glucose monitoring programs allow users with diabetes to wirelessly synchronize their glucometers to their mobile phones. They also provide visualization and remote access of their data through its mobile app. There have been very few studies evaluating their effectiveness in managing diabetes among adolescents with type 1 diabetes (T1D).ObjectiveThe purpose of this study was to assess the feasibility of using a mobile app to improve daily average blood glucose (BG) levels and increase BG monitoring frequency.MethodsWe used an ABA single-subject prospective study design. We recruited five participants aged 13 to 17 years with uncontrolled T1D, glycated hemoglobin A1c 9.0%-10.7%, self-monitoring behavior of ≤5 checks/day, and on multiple daily insulin injections. The study consisted of 4-week intervals of three phases: (1) phase A: usual glucose monitoring log (fax); (2) phase B: mobile app; and (3) phase A': second phase A. A certified diabetes educator and endocrinologist reviewed logs and provided recommendations weekly. Data were analyzed using a quasi-Poisson model to adjust for overdispersion among individual participants, and a generalized estimating equation model for overall intervention effect in aggregate.ResultsFor mean daily BG (mg/dL) levels, participant 1 had decreased values on the mobile app (298 to 281, P=.03) and maintained in phase A'. Participant 4 had an increase in mean daily BG in phase A' (175 to 185, P=.01), whereas participant 5 had a decrease in mean daily BG in phase A' (314 to 211, P=.04). For daily monitoring (checks/day), participant 3 increased in phase B (4.6 to 8.3, P=.01) and maintained in phase A'. Participant 5 also had increased daily monitoring at each phase (2.1 to 2.4, P=.01; 2.4 to 3.4, P=.02). For the five participants combined, the overall mean BG and BG checks per day in phase A were mean 254.8 (SD 99.2) and mean 3.6 (SD 2.0), respectively, mean 223.1 (SD 95.7) and mean 4.5 (SD 3.0) in phase B, and mean 197.5 (SD 81.3) and mean 3.7 (SD 2.1) in phase A'. Compared to phase A, mean glucose levels declined during phase B and remained lower during phase A' (P=.002). There was no overall change in BG checks by phase (P=.25). However, mean BG levels negatively correlated with daily BG checks (r=–.47, P<.001). Although all participants had positive opinions about the app, its utilization was highly variable.ConclusionsWe demonstrated modest feasibility of adolescents with uncontrolled T1D utilizing a glucose monitoring mobile app. Further study is needed to better determine its effects on BG level and monitoring frequency. Psychosocial factors and motivational barriers likely influence adoption and continuous use of technology for diabetes management.

Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: a conceptual model

Mobile apps have changed the business ecosystem. Mobile apps industry has experienced unprecedented growth and is emerging as a popular tool among market practitioners as they can directly get connected to consumers with just a single click. It’s also an essential consumer tool and is used for varied reasons like information gathering, shopping or watching videos. The conventional theoretical models i.e. TRA, TAM, TPB, UTAUT, and DOI have studied the technology acceptance, similarly ECT and IS continuance model have focused on continuous use of technology. Advancement in technology, changing consumption patterns, availability of improved resources and infrastructure, changing demographics make it vital to study pre-existing models in the light of mobile apps. This paper builds on these theoretical models and explores the factors that trigger the app adoption and it’s continuous among Indian consumers. The paper proposes a conceptual model for the adoption for two types of mobile apps i.e. utilitarian and hedonic. The paper proposes satisfaction and habit as mediating variables. They explain the mechanism behind the continuous usage of the app after its adoption.

Feedback in Flow for Accelerated Reaction Development.

The pharmaceutical industry is investing in continuous flow and high-throughput experimentation as tools for rapid process development accelerated scale-up. Coupled with automation, these technologies offer the potential for comprehensive reaction characterization and optimization, but with the cost of conducting exhaustive multifactor screens. Automated feedback in flow offers researchers an alternative strategy for efficient characterization of reactions based on the use of continuous technology to control chemical reaction conditions and optimize in lieu of screening. Optimization with feedback allows experiments to be conducted where the most information can be gained from the chemistry, enabling product yields to be maximized and kinetic models to be generated while the total number of experiments is minimized. This Account opens by reviewing select examples of feedback optimization in flow and applications to chemical research. Systems in the literature are classified into (i) deterministic "black box" optimization systems that do not model the reaction system and are therefore limited in the utility of results for scale-up, (ii) deterministic model-based optimization systems from which reaction kinetics and/or mechanisms can be automatically evaluated, and (iii) stochastic systems. Though diverse in application, flow feedback systems have predominantly focused upon the optimization of continuous variables, i.e., variables such as time, temperature, and concentration that can be ramped from one experiment to the next. Unfortunately, this implies that the screening of discrete variables such as catalyst, ligand, or solvent generally does not factor into automated flow optimization, resulting in incomplete process knowledge. Herein, we present a system and strategy developed for optimizing discrete and continuous variables of a chemical reaction simultaneously. The approach couples automated feedback with high-throughput reaction screening in droplet flow microfluidics. This Account details the system configuration for on-demand creation of sub-20 μL droplets with interchangeable reagents and catalysts. These droplets are reacted in a fully automated microfluidic system and analyzed online by LC/MS. Feeding back from the online analytical results, a design of experiments (DoE)-based adaptive response surface algorithm is employed that deductively removes candidate reagents from the optimization as optimal reaction conditions are refined, leading to rapid convergence. Using the automated optimization platform, case studies are presented for solvent selection in a competitive alkylation chemistry and for catalyst-ligand selection in heteroaromatic Suzuki-Miyaura cross-coupling chemistries. For the monoalkylation of trans-1,2-diaminocyclohexane, polar aprotic solvents at moderate temperatures are shown to be favorable, with optimality accurately identified with dimethyl sulfoxide as the solvent in 67 experiments. For Suzuki-Miyaura cross-couplings, the optimality of precatalysts and continuous variable conditions are observed to change in accordance with the coupling reagents, providing insights into catalyst behavior in the context of the reaction mechanism. Future opportunities in automated reaction development include the incorporation of chemoinformatics for faster analysis and machine-learning algorithms to guide and optimize the synthesis. Adoption of this technology stands to reduce graduate student and postdoc time on routine tasks in the laboratory, while feeding back knowledge used to guide new research directions. Moreover, the application of this technology in industry promises to lessen the cost and time associated with advancing pharmaceutical molecules through development and scale-up.

Technology in Social Work Education: A Systematic Review

ABSTRACT Given the growing prevalence of technology-based instruction, social work faculty need a clear understanding of the strengths and limitations of these methods. We systematically examined the evidence for technology-based instruction in social work education. Using comprehensive and rigorous methods, 38 articles were included in the review. Of these, 23 employed Web-based strategies, 12 employed interactive television-based strategies, and three combined both methods. Among the studies, there was a wide range of samples, content areas, measures, and data analyses. Results found that 84.2% of the studies reported that technology-based pedagogical methods produced academic outcomes equivalent or superior to traditional methods. Despite limitations, this body of evidence supports the continued use of technology in social work education as an alternative to classroom education. Future directions include the need for higher quality research and further investigations of specific issues relating to content, student subpopulations, and measures.

Explaining the unexpected and continued use of an information system with the help of evolved evolutionary mechanisms

Explaining how, why, and to what extent humans use information systems has been at the heart of the information systems (IS) discipline, and although successful models have emerged, mostly relying on social and cognitive psychology in their theoretical underpinnings, there are still cases that remain unexplainable. In this article, we scrutinize one of these cases where the continued use of technology cannot be explained by one of the most prominent traditional IS models to date. We analyze our qualitative case study by juxtaposing two theoretical lenses: a traditional IS perspective (i.e., the “unified theory of acceptance and use” model) versus an evolutionary psychology perspective (i.e., the four‐drive model). We find that a more comprehensive understanding of continued IS usage is possible when including an evolutionary psychology perspective to the existing models. Specifically, we propose three new concepts, including evolved performance expectancy, evolved effort expectancy, and evolved social influence. We also demonstrate that, in some situations, cognitive and social constructs dominate, whereas in other situations, the evolutionary dependent constructs associated with human nature take over.

The Ethical Implications of Using Technology in Psychological Testing and Treatment

The development and increasing use of technology in professional practice is a growing concern in many industries, particularly the field of psychology. New developments in the area of online psychological testing and therapy bring with them unique and previously unexperienced ethical issue to both the psychologist and the client. Although numerous advantages such as fiscal savings and time convenience are apparent, the increases of risks to validity, accuracy, psychologist competency, and confidentiality need to be acknowledged and further addressed. The continued use of technology in the modern world is unavoidable. However, it is important to keep in mind that the benefits of the growing use of technology in psychology must always be to further the interests of the client, not the psychologist, to maintain ethical integrity.