Technology Fit Research Articles

The use of modern fitness technologies in the physical education of students

The article examines the variety and expediency of fitness classes with students of various specialties, shows the impact of such classes on the state of health of students, as well as the peculiarities of conducting fitness classes. One of the problems of physical education in universities is insufficient interest of young people in physical education. There is a problem between the need to form a physically healthy specialist during training and the lack of motivation of students engaged in physical education and sports, the need to change the format of conducting physical education classes using new approaches and new technologies.
 The use of fitness technologies in the physical education of students will have a positive effect on their motivational sphere, which in turn will affect the improvement of indicators of physical and mental condition, academic performance and the formation of a healthy lifestyle of students. culture in the university, in the formation of a healthy lifestyle of students.
 The article examines the state of the issue in scientific and methodical literature, summarizes the experience of using fitness technologies in the educational process. The effectiveness of fitness technology programs in physical culture for students of various specialties at the university is shown.
 The introduction of elements of fitness technologies into educational classes increases students' interest in physical culture, stimulates their independent work. Planning classes with elements of fitness for young men can be based on sports and recreational fitness technologies (athletic gymnastics, crossfit, mixed programs, fitness yoga, specialized programs of athletic gymnastics, circular fitness training, adapted mixed programs). For girls of the main group, fitness yoga, athletic gymnastics, step aerobics, mixed programs can be chosen; for girls of the adaptive group – fitness yoga, billiards, pilates, athletic gymnastics.

Health fitness in the higher education system of Ukraine and prerequisites for its application

The article examines the main socio-cultural prerequisites for the use of health-improving fitness in the system of mass higher education institutions of Ukraine. The rational use of available and effective fitness tools, which selectively affect the body, in many ways ensures the achievement of the goal of physical education of young people - promoting the training of harmoniously developed highly qualified specialists, taking into account the requirements specific to their professional psychophysical competence. Goal. To analyze the socio-cultural prerequisites for the use of health fitness in the system of higher educational institutions of Ukraine. Methods. Theoretical analysis and generalization of data from scientific and methodical sources and information of the global Internet. The results. The reasons for the need to reform and modernize the physical education of students have been revealed. The main aspects of the development of modern health-related fitness technologies have been established as an effective means of improving students' health and physical development. The need for purposeful implementation of the latest innovative fitness technologies in the system of higher educational institutions with the aim of improving the health of the younger generation has been determined. The selective nature of the impact on the body ensures the achievement of the goal of physical education of young people - it contributes to the formation of harmoniously developed highly qualified specialists taking into account the specific requirements for their professional psychophysical competence. Conclusions. Health fitness is defined as a complex, multifaceted and multifunctional social phenomenon, which can be considered as an effective factor in the physical improvement of student youth, increasing the level of their physical capacity and condition in higher educational institutions of Ukraine. The main socio-cultural prerequisites for the development of health fitness in Ukraine are defined as objective requirements of society for the physical culture of students' personalities, as well as for increasing and maintaining the level of their physical capacity and somatic health.

From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior.

In Industry 4.0, the adoption of new technology has played a major role in the transportation sector, especially in the electric vehicles (EVs) domain. Nevertheless, consumer attitudes towards EVs have been difficult to gauge but researchers have tried to solve this puzzle. The prior literature indicates that individual attitudes and technology factors are vital to understanding users' adoption of EVs. Thus, the main aim is to meticulously investigate the unexplored realm of EV adoption within nations traditionally reliant on oil, exemplified by Saudia Arabia. By integrating the "task technology fit" (TTF) model and the "unified theory of acceptance and usage of technology" (UTAUT), this research develops and empirically validates the framework. A cross-section survey approach is adopted to collect 273 valid questionnaires from customers through convincing sampling. The empirical findings confirm that the integration of TTF and UTAUT positively promotes users' adoption of EVs. Surprisingly, the direct effect of TTF on behavioral intentions is insignificant, but UTAUT constructs play a significant role in establishing a significant relationship. Moreover, the UTAUT social influence factor has no impact on the EVs adoption. This groundbreaking research offers a comprehensive and holistic methodology for unravelling the complexities of EV adoption, achieved through the harmonious integration of two well-regarded theoretical frameworks. The nascent of this research lies in the skilful blending of technological and behavioral factors in the transportation sector.

FITNESS TECHNOLOGIES AS EFFECTIVE MEANS OF PHYSICAL ACTIVITY

The abstract review examines such categories of fi tness as fi tness, fi tness technologies, fi tness programs. The main classifi cations of fi tness and fi tness technologies are also presented. The restoration of physical and emotional health is an important social issue in our time. After all, there is nothing more important than the harmonious development of personality in society. And the fi tness industry, in turn, has signifi cant potential in providing rehabilitation and restoration of health. Fitness technologies can be used in all types of physical education, providing solutions to the problems of physical education, sports, physical rehabilitation and recreation

Computerized accounting information systems: An application of task technology fit model for microfinance

This study investigates the factors of Computerized Accounting Information Systems (CAIS) and the application of Task Technology Fit (TTF) in 190 decision-makers at accredited microfinance in Indonesia that apply technology adoption in decision-making processes. The results of analysis with SEM AMOS highlighted some findings: (1) The system quality of the computerized accounting information system and task analyzability have a significant effect on Task Technology Fit (TTF), (2) Task Technology Fit (TTF) has a positive relationship with perceived usefulness and sustainable performance. Furthermore, this study contributes to the development of TTF theory in optimizing integrated technological capabilities, accounting information systems, and task characteristics toward Sustainable Performance. The prominent contribution of this research is the importance of technology (including CAIS and Core Micro Banking System). Finally, this study will enrich references in the field of Accounting and Finance, especially for the application of technology for Sustainable Performance in Microfinance.

Assessing The General Sentiment of Malaysian Manufacturers in Adopting Blockchain Technology to Improve Supply Chain Processes

The popularity of blockchain technology has seen a dramatic increase throughout the year of 2021 and 2022, with numerous use cases in various global industries. This includes the use of cryptocurrencies, non-fungible tokens, decentralized autonomous organizations, and others. In Malaysia, there is also an apparent increase in general awareness towards the technology, with Bank Negara Malaysia and Securities Commission actively participating in the Committee for Blockchain and Distributed Ledger Technology. This study specifically examined at the Malaysian manufacturing industry, attempting to assess their general sentiments towards blockchain technology and how it could help to improve various supply chain processes. The quantitative study received 114 valid responses from management level employees with Malaysian manufacturers, enabling the researchers to assess the task technology fit, perceived ease of use (PEOU), perceived usefulness (PUSE), and technology readiness index (TRI). The analysis indicated that there is indeed a high task technology fit in the Malaysian manufacturing sector. In addition, this industry showed a positive sentiment towards blockchain technology, with high scores in PEOU, PUSE, and TRI. The high TRI numbers also had a positive significant relationship on the decision to adopt this technology within the manufacturing companies to improve various supply chain processes.

Drivers of wearable fitness technology adoption for health care: an investigation through organismic integration and regulatory focus theory

PurposeIn the prior literature, the motivation to adopt wearable fitness technology (WFT) has been linked with either intrinsic or extrinsic. However, how the subcategories of extrinsic motivations (identified, introjected and external) affect the consumers’ WFT adoption decision remains sparse. Furthermore, do regulatory focus (prevention vs promotion) and gender differences the effects of different motivations on WFT adoption is almost unknown in the health-care marketing literature. This study aims to fill the above-mentioned gap and to unfold the WFT adoption beyond the traditional motivation by incorporating the organismic integration theory (part of self-determined theory) and regulatory focus theory.Design/methodology/approachThis study used a questionnaire-based survey. Using the “AMOS” survey, questionnaire responses of 641 respondents were analyzed and validated by using structural equation modeling. All the variables were adopted from the literature.FindingsThe results show that intrinsic, identified and external motivations have the greatest impact on consumers’ decisions, while introjected motivation was not significant directly. The moderation effects of regulatory focus are significant in such a way that prevention focus influences the introjected motivation and promotion focus affects the external motivation and WFT adoption decision. Furthermore, the findings on gender moderation suggest that women are more intrinsically motivated, and men are more externally motivated for WFT adoption.Practical implicationsThe new insights and contributions of this study provide a better understanding of WFT adoption and help sellers develop more effective marketing strategies.Originality/valueThis study incorporates subcategories of extrinsic motivations to provide a deeper understanding of consumers’ behavior. Furthermore, this study applies a unique framework of organismic integration theory to consumers’ WFT adoption. It is also among very few research that investigate regulatory focus and gender impact on consumers’ WFT adoption.

Formation of Practical Readiness of Future Officers to organize Forms of Physical Training with Servicemen of different age groups

According to the results of the analysis of the scientific and methodical literature, it was established that an insufficient number of scientific and methodical works are devoted to the actual issue of the formation of theoretical knowledge and practical skill s of the organization of the physical training system with the future subordinate staff by those obtaining higher education of higher military educational institutions.
 The main goal of the study is to develop organizational and pedagogical conditions for the formation of practical training of future officers in the direction of their organization of forms of physical training with an emphasis on the use of modern technical means of training and fitness technologies.
 As a result of theoretical research, we have developed organizational and pedagogical formations of practical training of future officers in the direction of their organization of forms of physical training (with an emphasis on the use of modern technical means of training and fitness technologies) with future subordinate personnel. We expect that the introduction of the proposed organizational and pedagogical conditions into the system of physical and special physical training of the representatives of the studied category will contribute to the formation of theoretical knowledge and practical skills of organizing forms of physical training with servicemen of different age groups (categories). In addition, in the future it is possible for future officers to organize occupational therapy activities with military personnel of various categories after treatment of injuries, illnesses, and wounds.

ИМИТАЦИОННОЕ МОДЕЛИРОВАНИЕ ПОСАДКИ С НАТЯГОМ ШЕСТЕРНИ НА ВАЛ ТЯГОВОГО ДВИГАТЕЛЯ ЭЛЕКТРОВОЗА

One of the reasons for unforced train delays happen during the operation of 2ES6 freight electric locomotives is sliding down, gear cuts from the cone shanks of heavy electric motor shafts. The situation becomes worse when mechanical defects occur in the joints after pressing. Solving the problem is impossible without improving the fit technology. To simulate an interference fit, a finite element shaft-gear model is developed. A static analysis is performed in Simulation module of Solidworks, which includes an analysis of the stress-strain state and determination of the safety margin of objects according to several destruction criteria. Theoretical positions in conical joints are presented, in particular, the conditions of non-moving and strength of the joint. Based on simulation results, the range of diametrical interference values is adjusted, which ensures a favorable margin of gear safety.

Evaluasi Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) dengan Metode Hot Fit di RSU Mitra Sejati Medan

The Hospital Information System (SIMRS) is a system that integrates the collection, processing, reporting and use of data information needed to increase the efficiency and effectiveness of health services through better management at various levels of health services. The purpose of this research is to evaluate the implementation of the hospital management information system (SIMRS) at Mitra Sejati General Hospital with the Human Organization Technology (HOT) Fit Model method. The type of research used in this research is qualitative research with the Hot-Fit model method. The results of this study are that when viewed in terms of the human aspect, it is still not optimal, there are still many obstacles that occur in the field including the absence of an RME obligation, The organizational aspect is good, the hospital management has conducted training and is always holding retraining. The technological aspect is satisfactory enough for HR. Another obstacle that often occurs is related to the discipline of human resources for data input that is not in real time, SIMRS which is applied at Mitra Sejati General Hospital still has application deficiencies, the hospital management does not provide support in the form of repairs or strengthening the hospital network. Suggestions for hospitals need to develop medical records, HR discipline, develop existing SIMRS and improve network constraints.

A method for measuring and correcting errors in the thickness of semiconductor thin films based on reflection spectroscopy fitting technology

The thickness of semiconductor thin films stands as a pivotal parameter dictating their operational efficacy, directly shaping their applications in the realms of electronics and optoelectronics. Nevertheless, the quandary of measuring the thickness of widely utilized hundred-micron-scale semiconductor wafers continues to vex researchers. Existing measurement techniques grapple with issues of inadequate precision, poor stability, and sluggish measurement speeds. To surmount this challenge, this study innovatively devises a method employing reflective spectral fitting technology for film thickness measurement coupled with adaptive correction. This approach integrates an enhanced frequency fitting technique, endowing it with the capability for swift and stable measurements of hundred-micron-scale semiconductor thin films. Simultaneously, addressing measurement errors stemming from complex environmental factors in industrial production, the paper proposes a thickness correction method based on carrier interference principles. This correction method ensures precise thickness calibration even when the sample isn't perfectly perpendicular to incident light, significantly augmenting measurement accuracy and stability. Experimental data demonstrates that employing the proposed methodology enhances measurement accuracy by approximately 50 % and elevates measurement stability by about 80 % compared to existing methods. Particularly noteworthy is its capability to maintain high measurement precision and stability even when the sample isn't entirely perpendicular to incident light. The calibrated measurements exhibit around a 55 % reduction in error compared to uncorrected results. This study presents an efficient and accurate solution for the challenging task of measuring hundred-micron-scale semiconductor thin film thickness in industrial settings.

Southeast Asian consumer acceptance of 3D virtual fitting technologies in cross-border online shopping

The purpose of this study is to investigate Thai, Vietnamese and Indonesian consumers’ responses to cross-border online shopping for Korean fashion products using 3D virtual fitting technology. In order to examine the factors affecting a consumer’s attitude toward virtual fitting technology and the purchase intention of Korean fashion products, technology acceptance model, which represents cross-border site characteristics, and technology readiness, which represents a consumer's belief in technology, were used in combination with technology readiness and acceptance model. An online survey was conducted with male and female consumers in their 20 s and 30 s residing in Vietnam, Indonesia, and Thailand. A structural equation model analysis was performed using smart PLS to verify the research model. Among the dimensions of technological readiness, optimism and innovativeness had a positive effect on consumers' perceptions of the cross-border site, and discomfort had a negative effect. Perceived usefulness, enjoyment, and perceived fit had a significant effect on the attitude toward virtual fitting technology, and the effect of enjoyment was the greatest. This study highlighted the role of each dimension of technology readiness by verifying consumer acceptance of virtual fitting technology in cross-border online transactions. It also emphasized the role of perceived enjoyment in technology acceptance.

Higher artistic education in ballroom choreography: Forecast of educational trends

The objective of this article is to analyze higher art education in ballroom choreography through an examination of current educational trends and a forecast of their utilization. The work employs methods such as comparative analysis, generalization, corporate-pedagogical analysis, analytical-interpretative method, and forecasting modeling. The results assess the specificities of the American experience in teaching ballroom dancing within higher education, European experiences in ballroom dancing instruction, and the primary trends in the development of this choreographic field. Using the gathered information, a theoretical model for teaching ballroom choreography in higher education institutions is formulated, aiming for demonstrably high training outcomes. Innovative stimulation technologies have proven effective, suggesting that their ongoing evolution will significantly impact the advancement of higher choreographic education overall. These cutting-edge sports fitness technologies are poised to play a pivotal role in the training of ballroom dancers, serving as a potent resource to enhance the physical fitness levels of choreographers. The effectiveness of fitness techniques is demonstrated through various aerobic methods, including cardio training and cyclic exercises, as well as distinct dance techniques like Latina, Zumba, oriental dance, among others. Additionally, neurohumoral methods contribute to their effectiveness. In conclusion, it is emphasized that further somatic training, currently utilized in leading European countries, will play an important role.

Physical and mental health in adolescence: novel insights from a transdiagnostic examination of FitBit data in the ABCD study

Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10–13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of psychosis-like experiences (PLE), internalizing symptoms, and externalizing symptoms. Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t = −2.69) and internalizing (t = −6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.

Association between fitness technology use and physical activity mediated by communication behaviors on social media.

Fitness technologies, such as smartphone applications and wearable tracking devices, have gained widespread popularity. This study had two main objectives: 1) to examine whether fitness technology use is associated with increased physical activity (PA) levels and 2) to investigate whether communication behaviors on social media mediated the association between fitness technology use and PA. Data were from the U.S. Health Information National Trends Survey 2022 (N = 6,252, weighted N = 258,418,467). Weighted linear regressions were conducted to examine the associations between fitness technology usage, physical activities, and communication behaviors on social media. Mediations were tested using PROCESS macro, a path-analysis based tool. Controlling for demographic and other known influences on PA, the findings revealed that users of fitness technology reported higher levels of both moderate PA (β = .41, p < 0.001) and strength training (β = .29, p < 0.001). Additionally, communication behaviors (i.e., sharing personal health information on social media and watching health-related videos on social media) mediated the relationship between fitness technology use and frequencies of strength training. The results underscored the potential of fitness technologies in enhancing PA levels through promoting communication behaviors on social media.

'I've learned a lot about myself this year': Young student women's perceptions of their cumulative use of digital fitness technologies across the Covid-19 pandemic.

Many young women turned to digital fitness technologies (DFT) to support their health and wellbeing during the covid-19 pandemic. The present study explores young student women's retrospective perceptions of their cumulative engagement with DFT, across periods of restriction and easing (March 2020-2021). Seventeen UK-based women (Age M = 20.29, SD = 1.72); Ethnicity White = 94.12% participated in one-on-one interviews using an adapted scroll-back technique. Data was analysed using narrative-informed reflexive thematic analysis. Three themes were developed: My lockdown #fitnesstransformation: DFT as information and inspiration, My unrealistic expectations: DFT as a source of comparison and concern and My new body positive and resilient self: DFT as a catalyst to self-development. Themes highlight how perceptions of DFT changed over time as a consequence of repeat engagement, sociocultural context and psychological meaning-making. Crucially, findings underscore the importance of examining the collective and cumulative effects of DFT engagement on health and wellbeing, both positive and negative.

Employee Acceptance of Human Resource Management Information System: Integrated UTAUT and TTF Model in a Selected Public Firm in Sri Lanka

Aim: In the modern digital world, many companies are moving towards technology-based applications to perform human resource administration work. Employees nowadays are capable of accessing a web-based Human Resource Management Information System (HRMIS) to obtain critical data from recognized techniques such as System Applications and Products (SAP), PeopleSoft, Bann and Lawson. This study aims to investigating the factors affecting the adopting intention of HRMIS in a selected public firm in Sri Lanka.&#x0D; Design: Acknowledging the vital concepts on accepting or resisting technology, six components (performance expectancy, effort expectancy, social influence, facilitating conditions, task characteristics, and technology characteristics) from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Task Technology Fit (TTF) model were contextualized to investigate the drivers influencing HRMIS adoption intentions in a selected public firm in Sri Lanka. Target population was identified as the Executives, Supervisors/Technical Officers, Clerical and Allied employees of the chosen public company in Sri Lanka. A structured online questionnaire, including 30 items, was used to collect data.&#x0D; Findings: Multiple regression analysis results revealed that the factors of Performance Expectation, Task Characteristics, and Technology Characteristics have a positive influence on users’ adoption intention to HRMIS. Effort Expectancy, Social Influence, and Facilitating Conditions had negative influence.&#x0D; Implications: The outcomes highlight the necessity of combining TTF components with technology acceptance theories when evaluating the factors influencing acceptance of HRMIS or other information systems. The study's findings will aid management in making the required organizational changes to encourage employees to use the HRMIS application.

Experiences Among Patients With Cystic Fibrosis in the MucoExocet Study of Using Connected Devices for the Management of Pulmonary Exacerbations: Grounded Theory Qualitative Research.

Early detection of pulmonary exacerbations (PEx) in patients with cystic fibrosis is important to quickly trigger treatment and reduce respiratory damage. An intervention was designed in the frame of the MucoExocet research study providing patients with cystic fibrosis with connected devices and educating them to detect and react to their early signs of PEx. This study aims to identify the contributions and conditions of home monitoring in relation to their care teams from the users' point of view to detect PEx early and treat it. This study focused on the patients' experiences as the first and main users of home monitoring. A qualitative study was conducted to explore patients' and professionals' experiences with the intervention. We interviewed patients who completed the 2-year study using semistructured guides and conducted focus groups with the care teams. All the interviews were recorded and transcribed verbatim. Their educational material was collected. A grounded analysis was conducted by 2 researchers. A total of 20 patients completed the study. Three main categories emerged from the patients' verbatim transcripts and were also found in those of the professionals: (1) task technology fit, reflecting reliability, ease of use, accuracy of data, and support of the technology; (2) patient empowerment through technology, grouping patients' learnings, validation of their perception of exacerbation, assessment of treatment efficacy, awareness of healthy behaviors, and ability to react to PEx signs in relation to their care team; (3) use, reflecting a continuous or intermittent use, the perceived usefulness balanced with cumbersome measurements, routinization and personalization of the measurement process, and the way data are shared with the care team. Furthermore, 3 relationships were highlighted between the categories that reflect the necessary conditions for patient empowerment through the use of technology. We discuss a theorization of the process of patient empowerment through the use of connected devices and call for further research to verify or amend it in the context of other technologies, illnesses, and care organizations. ClinicalTrials.gov NCT03304028; https://clinicaltrials.gov/ct2/show/results/NCT03304028.

Development of a fabric classification system using drapability and tactile characteristics

AbstractWhen producing clothing using virtual fitting technology or purchasing textile and clothing products online, it is challenging to make judgments or communicate information about sensory characteristics, such as drapability and tactile sensations, as there are no clear objective indicators for these factors. Therefore, the study aims to develop a classification system for the sensory properties of fabrics using drapability and tactile characteristics as quantitative indicators. The developed system was verified through subjective evaluations by an expert group, and it was found to be meaningful in reflecting classification levels in practice. The drapability and tactile sensation (softness; TS7) of the fabric were classified using fuzzy c-means cluster analysis, and the results were confirmed through a subjective evaluation by experts. The classification system was then used to predict the classification group, constituted by drapability and tactile characteristics, from mechanical properties using an artificial neural network. The network was trained on 534 fabric samples for drapability and tactile sensation (softness), and it correctly predicted 202 samples out of 243 validation data, with a forecasting accuracy of 83.5%. The developed classification system enables predictions and judgments about subjective characteristics like fabric drapability and tactile sensation based on the mechanical property values of various samples.

Machine Learning-Based Approach for bandwidth and frequency Prediction for N77 band 5G Antenna

Yagi antennas are useful for wireless communications because of the directional gain they provide, allowing the antenna to concentrate the signal in either the transmission or reception direction. It is built on a substrate made of FR-4, this antenna has a return loss of −46.85 dB at 3.6 GHz and a bandwidth of 3.3–4.2 GHz within a −10 dB range, making it ideal for use in the n77 bands. Not only is it small, with a size of 0.642λ 0 × 0.583λ 0, but it also has a maximum gain of 7.95 dB and a maximum directivity of 8.58 dB. This study investigates several approaches to estimating the performance of an antenna. These approaches include simulation with a variety of software tools, including as CST, HFSS, and Altair Feko; curve fitting technology; and the RLC equivalent circuit model. After that, simulation with CST MWS is used to collect a large amount of data samples, and then supervised regression machine learning (ML) methods are used to determine the resonance frequency and bandwidth of the antenna. When it comes to predicting bandwidth and frequency, Random Forest Regression demonstrates an exceptional level of performance, particularly when comparing with the results produced by curve-fitting tools, neural networks, and regression machine learning models. When all of these considerations are taken into account, it is clear that the antenna is an outstanding option for the n77 band of a 5G communication system.