Technology Usage Research Articles

Decision Support Systems for Lifelong Learning: Leveraging Information Systems to Enhance Learning Quality in Higher Education

This study investigates the impact of technology adoption—specifically AI Tools, Decision Support Systems (DSS), and Learning Management Systems (LMS)—on higher education. As these technologies reshape educational paradigms, understanding their effects on learning performance, satisfaction, and the adoption and usage of these tools is critical. The research aims to empirically examine the relationships between technology adoption, self-efficacy, and key educational outcomes. It explores the direct effects of AI Tools, DSS, and LMS on learning performance and satisfaction, as well as the role of self-efficacy as a mediator. Utilizing a quantitative approach, the study collected data from 356 students via a distributed questionnaire. Variables measured include technology adoption, self-efficacy, learning performance, satisfaction, and adoption and usage of educational tools. Data analysis was conducted using SPSS and Origin, incorporating regression, mediation, and moderation analyses. The study found significant positive effects of technology adoption on learning performance (β = 0.45, p < 0.01), satisfaction (β = 0.40, p < 0.01), and adoption and usage (β = 0.50, p < 0.01). Self-efficacy significantly mediated these relationships, indicating that higher confidence in using technology enhances its benefits. This research extends Bandura's social cognitive theory by empirically validating the mediating role of self-efficacy in technology adoption within educational contexts. The findings provide actionable insights for educators and policymakers, suggesting that boosting students' confidence in using technology can amplify its positive effects on learning outcomes.

Driving Digital Transformation: The Impact of SME Digitalization on Technology Acceptance and Usage in Small and Medium Enterprises of Yemen

This research investigates the relationships between digitalization, perceived usefulness, attitudes toward using technology, and actual system use of technologies within the context of small and medium-sized enterprises (SMEs) in Yemen. Using a two-step structural equation modelling approach, the research investigates both direct and mediating effects. Data were gathered from 392 SMEs in Yemen by employing a survey research design. The measurement model was estimated to evaluate the constructs' accuracy, while the structural model was analyzed to investigate the proposed relationships. Findings reveal that SME digitalization significantly enhances perceived usefulness, which positively influences users' attitudes toward technology adoption and subsequently drives actual system use. Specifically, the analysis shows that improvements in digitalization practices lead to heightened perceptions of usefulness and favorable attitudes, ultimately resulting in increased actual system use. Moreover, the results indicate that perceived usefulness and attitudes serve as significant mediators between digitalization and system use. This research contributes to understanding how enhancing perceived usefulness and fostering positive attitudes can facilitate technology adoption in SMEs, providing important implications for practitioners, policymakers, and researchers focused on digital transformation. Overall, the findings emphasize the importance of strategic digitalization efforts to improve operational efficiency and promote successful technology acceptance in small and medium enterprises.

How do apathetic and depressive symptoms relate to functional capacity? A cross-sectional survey among community-dwelling middle-aged and older adults in Japan.

Apathetic and depressive symptoms are frequently observed among older adults, and are risk factors for functional decline and dementia progression. However, how these symptoms influence functional capacity remains unclear. This study investigated the relationship between apathetic and depressive symptoms and functional capacity, considering the interaction between apathetic and depressive symptoms. A cross-sectional questionnaire survey targeting community dwelling middle-aged or older adults was conducted. We sent a questionnaire to 984 individuals and received 320 responses. Data with missing values and participants aged under 50 were excluded, resulting in 212 participants (88 men and 124 women, mean age = 73.4 ± 9.3 years). Apathetic symptoms were evaluated using the Dimensional Apathy Scale (J-DAS), which comprises executive, emotional, and cognitive and behavioral initiation aspects of apathy. Depressive symptoms were evaluated using the Geriatric Depression Scale (GDS). Functional capacity was assessed using the Japan Science and Technology Agency Index of Competence, which comprises technology usage, information practice, life management, and social engagement. Mean score of each J-DAS factor and GDS was 5.3 ± 3.4 (executive), 12.0 ± 3.0 (emotional), 11.8 ± 5.1 (initiation), and 4.5 ± 3.3, respectively. The emotional and initiation aspects of J-DAS were significantly associated with information practice (β = -0.15, p < .05 for emotional; β = -0.27, p < .001 for initiation) and life management (β = -0.20, p < .01 for emotional; β = -0.22, p < .01 for initiation) in functional capacity. GDS was associated only with social engagement (β = -0.31, p < .001). Although the interaction between the initiation factor of J-DAS and GDS was significantly associated with life management (β = -0.16, p < .05), the R2 change was insignificant. The emotional factor of J-DAS was associated with technology usage (β = -0.13, p < .05), although less strongly than age. The executive factor of J-DAS had insignificant associations with all aspects of functional capacity. Apathetic and depressive symptoms are independently, rather than interactively, associated with different aspects of functional capacity. As older adults with apathetic or depressive symptoms might struggle to seek help from public health services, they should be targeted with active interventions from healthcare professionals.

Assessment of Internet Safety, Cybersecurity Awareness and Risks in Technology Environment among College Students

The study examined the internet safety, cybersecurity and risks in technology environment. The study adopted a descriptive survey research design. The sample comprised 100 respondents drawn randomly online were used. College students cybersecurity awareness scale (r = 0.84) was used to collect data. Frequency counts and multiple regression analysis were used to analyse the data collected. 52 (52%) of the respondents are of age 16-20 years. Thirty-eight (38%) males responded while 62 (62%) are female and 89 (89%) maintain high levels of internet safety, and seventy-eight (78%) cybersecurity awareness. There is a linear relationship between predictor variables (internet safety and cybersecurity awareness) and risk in the technology environment r = 0.777. Internet safety (β = 0.823; t (98) = 10.816; p &lt; .05) contributed most followed by cybersecurity awareness (β = 0.099; t (98) = 1.299; p &lt; .05). It was deduced from the findings that there more users of high level of internet safety and cybersecurity awareness among college students. There is significant effect of internet safety and cybersecurity awareness on risk in technology environment. Although some of the internet safety measures are not well observed as they were considered not necessary. It is therefore recommended that all safety measures must be taken seriously by college students, as well as other technology users.

Who is an Agile leader? Technological vs. Non-technological Mindset Employees' Views

For an agile organization to be truly agile, it must be led by agile leaders to sustain its competitiveness and continuously identify opportunities for future growth and development. Technological and non-technological mindsets can see agile leadership differently. Therefore, this study aims to explore if there is any difference in the vision of who the agile leader is in the views of knowledge workers employed in the IT and other sectors. Using a qualitative definitional/interpretive approach supported by MAXQDA software, this study revealed that from the perspective of the technological mindset, key specific to this group characteristics are diligent risk management, technology usage focus, deep understanding of needs, efficiency, and efficacy, critical thinking skills, multitasking, information and knowledge sharing, responsibility, feeling, and constant focus on improvement. Whereas from the perspective of non-technological mindsets, key specific characteristics these mindsets notice are support for employee growth, dynamism and relevance of actions taken, perfect operation on managerial paradoxes, creativity, inclusion, empathy, and self-confidence. The common characteristics that are easy to notice in both mindset types are open-minded personality, the sequential habit of revisions, reflection, and re-framing, learning from experience, wise dynamic (smooth and accurate actions), perfect change implementation skills, adaptability skills, and a positive attitude towards challenges.

Improving Older Adults’ Technology Adoption on Mobile Map: A Gamification Approach

In the era of digitalization, it is critical to improve older adults’ digital literacy and inclusion by enhancing their technology adoption to create a more accessible and inclusive social environment. However, older adults always exhibit lower levels of technology usage, and there is insufficient support available to meet their specific needs. Gamification, with its potential to motivate people, presents a great opportunity to address the issue of technology adoption among older adults. Despite gamification being predominantly applied to younger generations, this study offers a unique contribution by examining the impact of gamification on supporting older adults’ technology adoption. A case study of tailor-made gamification for Google Maps was constructed based on the game-based learning model and game mechanics. The effectiveness of the proposed gamification strategy has been assessed through interviews and observation. The results revealed a significant positive effect of gamification on enhancing older adults’ technology knowledge and adoption intentions.

Entrepreneurship and Rural Development in Morocco: A Comparative Analysis of Female and Male Entrepreneurs in the Fes-Meknes Region

Rural entrepreneurship is a growing field of research, with a focus on understanding and promoting entrepreneurial activities in rural areas. It is important to examine the differences between male and female entrepreneurs in these rural settings. This study explores the relationship between entrepreneurship and rural development in Morocco, focusing on the differences between male and female entrepreneurs. The Fes-Meknes region conducted the research, surveying 200 individuals, including 120 male and 80 female entrepreneurs, using econometric analysis. The study aimed to compare male and female entrepreneurs' socioeconomic characteristics, business attributes, technological factors, and entrepreneurial behaviors, as well as their impact on rural development. Key variables included education, household income, family situation, financial resources, investment grants, business sector, revenue, legal structure, target market, digital technology usage, and management style. The results of the analysis showed significant differences between male and female entrepreneurs in various aspects, such as education level, household income, family situation, access to financial resources, business sector involvement, legal structure, years in operation, and target market preferences. Additionally, the study found that male entrepreneurs tended to utilize digital technologies more extensively and benefit more from entrepreneurship training compared to their female counterparts. However, female entrepreneurs demonstrated a higher propensity for contributing to rural development initiatives through their businesses, particularly in agribusiness-related activities. The study emphasizes the need for tailored policy interventions to address gender-specific entrepreneurship dynamics in rural areas, thereby promoting sustainable development and economic growth.

Roles of Personal Values and Information Technology Usage in Forming the University Students’ View of Environmental Sustainability: A Preliminary Regional Study of Economics and Business Students

This study focuses on two significant factors shaping university students’ perception of environmental sustainability. Those are (a) personal values, measured by the Portrait Values Questionnaire (PVQ) and (b) the usage of and proficiency in information technology. Personal values have been widely used to analyze individual perspectives toward various issues, including environmental ones. As contemporary social arrangements include significant influences from social networks and mobile phone usage, overall engagement with technology becomes an essential factor affecting university student attitudes and behaviors. While the individual impact of those factors can be found in the extant literature, we look into their interaction concerning university student pro-environmental attitudes, measured by the Revised NEP (New Ecological Paradigm) Scale, and their environmental self-efficacy. Our sample comes from the population of undergraduate business and economics students from Central and Southeast Europe, specifically Slovenia, Croatia, Bosnia and Herzegovina, Serbia, and Montenegro. We discuss our findings in the context of previous studies from the same regions and consider the unique socio-economic factors. The research results address Sustainable Development Goals 4 (quality education), 12 (responsible consumption and production), and 13 (climate action) by analyzing the factors contributing to university student pro-environmental attitudes and their self-efficacy in the context of their information technology usage and proficiency.

How Cyberloafing Affects Students’ Cognitive Engagement and Psychological Detachment in Higher Education Classes?

While the right usage of technology brings a plethora of benefits, misusing technological devices and the Internet in an educational context can manifest in different behavioral tendencies. This ranges from growing addiction to technology and cyberbullying to technological anxiety and technostress. Yet, the effects of cyberloafing on students’ academic performance and engagement during class have attracted the attention of professors and educational decision-makers. Thus, the article aims to analyze the impact of cyberloafing intentions and cyberloafing practices on students’ psychological detachment and cognitive engagement among higher education students who are studying business and economics, using a structural equation modeling (SEM) methodological approach grounded in survey data. The findings stress that cyberloafing intention positively impacts cyberloafing habits and activities, further decreasing students’ cognitive engagement and increasing their psychological detachment from classes, while the grade point average (GPA) positively affects cognitive engagement. This underscores significant potential implications for both scholars and practitioners.

Digital learning technologies usage during Covid‐19 lockdowns

AbstractThe global impact of the Covid‐19 pandemic on school education has been unprecedented, with widespread school closures and the need for education to be delivered remotely. By providing an overview of the continuity of learning and teaching during the 2019–2021 academic years, this study aims to contribute to a better understanding of the impact of the pandemic on the use of digital learning technologies in Wales. This study links usage data from the Government's National Learning Platform (Hwb) to national administrative school records for all pupils in maintained schools. It employs a quantitative methodology to model the inequalities in digital learning technology usage. Multiple linear regression is used to quantify the factors associated with pupils’ use of the national learning platform before and during the pandemic, with a particular emphasis on school closures. The study's findings show notable differences in the level of learning platform usage across school sectors, with primary school pupils using the platform the most. Furthermore, school‐level teacher usage of the platform and household socioeconomic status are key factors influencing pupil usage. The analysis also reveals that levels of learning platform usage prior to the first school closure were associated with learning platform usage in the first school closure period, and usage in the second school closure period was also associated with usage in the first school closure period.

The Use of Information and Communication Technologies Among Generation X in Serbia: A Comparison Before and After the COVID-19 Pandemic

The aim of this paper is to examine the use of information and communication technologies (ICT) among Generation X in the years before and after the COVID-19 pandemic. The pandemic brought significant changes in digital technology usage and accelerated shifts in work, communication, and societal functioning. Generation X, comprising individuals born between the 1960s and 1980s, grew up during a time when digital technologies and the internet were not as prevalent. Given that they now live and work in a digital era, it is crucial to understand how they adapt to the rapid changes driven by digitalization. For this research, microdata from the study "The Usage of Information and Communication Technology by Individuals/Households in the Republic of Serbia" was analyzed for the years 2019 and 2023. Results show a slight increase in internet and computer use, particularly among younger members of Generation X. Additionally, 2023 saw a noticeable rise in online shopping and the use of communication services that gained popularity during the lockdown. Regarding public administration services, respondents in 2023 primarily accessed services related to the pandemic, such as vaccine information and green certificates. However, a significant number of respondents, 49%, did not use public services in either 2019 or 2023, suggesting potential issues with trust or perceived complexity. The main contribution of this paper is a detailed analysis of this group's behavior before and after the pandemic, focusing on ICT use and responses to changes triggered by the COVID-19 pandemic.

Determinants of Generative AI System Adoption and Usage Behavior in Korean Companies: Applying the UTAUT Model

This study addresses the academic gap in the adoption of generative AI systems by investigating the factors influencing technology acceptance and usage behavior in Korean firms. Although recent advancements in AI are accelerating digital transformation and innovation, empirical research on the adoption of these systems remains scarce. To fill this gap, this study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model, surveying 300 employees from both large and small enterprises in South Korea. The findings reveal that effort expectancy and social influence significantly influence employees’ behavioral intention to use generative AI systems. Specifically, effort expectancy plays a critical role in the early stages of adoption, while social influence, including support from supervisors and peers, strongly drives the adoption process. In contrast, performance expectancy and facilitating conditions show no significant impact. The study also highlights the differential effects of age and work experience on behavioral intention and usage behavior. For older employees, social support is a key factor in technology acceptance, whereas employees with more experience exhibit a more positive attitude toward adopting new technologies. Conversely, facilitating conditions are more critical for younger employees. This study contributes to the understanding of the interaction between various factors in AI technology adoption and offers strategic insights for the successful implementation of AI systems in Korean companies.

Research trends in digital citizenship: Bibliometric mapping from web of science

Digitalization has recently gained significant relevance in the education field. The focus has been on its use and application, as well as on training teachers and students to become responsible, competent, and ethical users of technology. This is connected to the creation of policies and programs that promote online learning and interaction from basic to higher education. In this context, this study aims to analyze the scientific production related to digital citizenship through a bibliometric mapping of publications indexed in the Web of Science database. The goal is to identify the main research trends in this field. The results show a growth in the number of publications since 2016, mainly focusing on topics such as digital citizenship media, digital competences, higher education, teachers, students, adolescents, adults, competence, digital literacy, and citizenship education. The presence of a significant number of journals related to the field of education denotes a close relationship between this field and the topic of study. Also, it is revealing a higher concentration of research production in the United States and Europe, with Latin America being absent from this scenario. The study identifies an intellectual structure of the discipline, particularly regarding the most relevant authors, journals, and descriptors. These results are important for understanding the research practices inherent to the field, which projects digital citizenship as an emerging topic. The study concludes by proposing lines of interest for further research on the topic in education and other fields, as well as acknowledging the limitations found in the present article.

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

ABSTRACTCombining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021. We calculate transient, persistent, and overall eco‐efficiency with respect to GHG emissions by way of stochastic frontier analysis. The innovative component of our analysis is the application of club convergence analysis to explore heterogeneity in transient eco‐efficiency development over time. This offers a nuanced understanding of farm‐level responses to climate challenges. We then explore correlations between convergence clubs and GHG mitigation technology usage. Despite high overall eco‐efficiency, our results uncover significant variability across farms, with some showing improvement and others decline in eco‐efficiency over time. We also find that changes in milk yield and specialization are positively related to better eco‐efficiency development, while GHG mitigation technologies do not play an important role. These insights suggest that the average high eco‐efficiency masks considerable underlying heterogeneity, presenting opportunities for tailored policy interventions. Our study contributes to the literature by highlighting the complex dynamics of eco‐efficiency in the dairy sector and underscoring the need for policy frameworks that account for farm‐level diversity.

Advancing autonomy in Tunisian higher education: Exploring the role of technology in empowering learners

This study explores technology-based learner autonomy in Tunisian higher education, focusing on the Raqqada English department. It examines student engagement with technology-driven learning and the challenges faced by educators, highlighting a gap between students' theoretical readiness for self-directed learning and their actual use of digital tools. Utilising a mixed-methods approach, quantitative data were collected from 102 English students via questionnaires, and qualitative data from interviews with 25 educators. Findings reveal that while 80% of students engage in autonomous learning outside the classroom, in-class technology usage is significantly lower, indicating a disconnect with existing infrastructure. Furthermore, 76% of students acknowledge technology's role in supporting diverse learning styles, and 67% link smart classrooms to increased motivation. However, challenges such as limited digital literacy, inadequate training, and poor infrastructure hinder effective technology integration. Educators expressed concerns about rigid teaching methods and insufficient autonomy at earlier educational levels, suggesting that autonomy is better developed at the master's level. The study concludes that enhancing infrastructure, training, and digital resource availability is crucial for advancing learner autonomy. Recommendations include fostering intercultural collaboration through programs like Collaborative Online International Learning (COIL) and implementing varied assessment methods to evaluate learner autonomy better. Additionally, professional development programs for educators and students are necessary to promote autonomy and active learning strategies.

EMPOWERING INDEPENDENT LEARNING THROUGH ASSISTIVE TECHNOLOGY: A QUANTITATIVE STUDY ON ITS IMPACT FOR STUDENTS WITH DISABILITIES

BACKGROUND The integration of assistive technologies in educational settings offers a promising avenue to enhance the learning experience for students with disabilities. These technologies, including voice recognition software, screen readers, and customizable learning management systems (LMS), have the potential to promote autonomy and engagement by accommodating diverse learning needs. This research will evaluate the effectiveness of these assistive technologies in supporting independent learning among these students. RESEARCH AIM The research aims to assess the usage and accessibility of assistive technologies in GBS, quantify their impact on students with disabilities, and identify the most effective technologies for enhancing learning outcomes. METHODS The study will involve surveys and performance metrics analysis among students with disabilities across various campuses of GBS. Statistical methods, including regression analysis and t-tests, will be employed to analyse the data. RESULTS Expected findings include detailed insights into assistive technology usage patterns and quantitative evidence of their impact on independent learning and academic performance. Recommendations for effective assistive technologies will be provided. CONCLUSION This research is expected to offer empirical evidence on the role of assistive technologies in supporting independent learning for students with disabilities, guiding educational institutions towards creating more inclusive environments.

Building Sustainable Societies: The Role of Technology in Empowering Momtrepreneurs of Children with Special Needs

This study investigates the technology usage patterns among mothers of children with special needs, focusing on their proficiency, frequency, and purposes of computer and internet use. The aim of this study is to reveal the level of technology use of mothers with disabled children and the difficulties they experience in this regard. In addition, this study is expected to reveal the level of knowledge that mothers have about both the use of technological devices and their applications and to guide projects and development programs to be carried out for mothers. Utilizing a qualitative research methodology, data were collected through semi-structured interviews with 16 mothers whose children attend Famagusta Special Education and Job Training School. The findings reveal that while a significant portion of the participants are beginners or lack confidence in using computers, 87.5 percent of the respondents utilize the internet regularly, primarily for accessing information related to their children’s disabilities and for entertainment purposes. Despite some mothers having received formal training in computer usage, the majority indicated a need for further education to enhance their technological skills. This study underscores the necessity of tailored programs to support these mothers in effectively leveraging technology for their personal and familial needs, contributing to broader discussions on gender equality and empowerment within the framework of the Sustainable Development Goals.

Usage of Information technology for the success of managing various stages of the COVID-19 pandemic

This study explores the crucial role of Information and Communication Technology (ICT) in managing the COVID-19 pandemic, focusing on its impact on surveillance, contact tracing, patient monitoring, telemedicine, artificial intelligence (AI), vaccination logistics, communication, and public education. ICT has facilitated the collection and analysis of real-time data, enabling authorities to make informed decisions about containment strategies. Digital contact tracing systems have been instrumental in limiting the virus's spread, while remote patient monitoring and telemedicine have allowed healthcare services to continue with minimal transmission risk. AI and machine learning have enhanced the speed and accuracy of COVID-19 diagnosis, and ICT has streamlined vaccine distribution and monitoring to ensure equitable access. Additionally, online platforms have played a key role in public education, fostering collaboration among researchers and promoting interdisciplinary research efforts. The study emphasizes that the continued integration of ICT into healthcare systems is critical for addressing future global health crises. However, policymakers must invest in ICT infrastructure, bridge the digital divide, and ensure that marginalized populations have equitable access to these technologies. The findings highlight the importance of ongoing ICT development to improve healthcare outcomes in future pandemics and suggest that collaboration across sectors is essential for maximizing the potential of these digital tools. Ultimately, ICT has been pivotal in the effective management of the COVID-19 pandemic and will be vital in future crisis preparedness.

A Threefold Examination of University Digital Leadership, Teacher Digital Competency, and Teacher Technology Behavior for Digital Transformation of Education

In the digital age, it is imperative that Higher Education Institutions (HEIs) should cultivate digital talent to adapt to social development and occupational requirements. To achieve this, HEIs need to effectively implement digital transformation by understanding how leadership and teacher competencies contribute to technology use in educational settings. This study explored universities’ digital leadership and its relationship with teacher technology behavior, with teacher digital competency serving as a mediating variable in universities from Jilin Province, China. Data were collected through convenience sampling of 402 teachers from 25 universities in Jilin Province, and analyzed using descriptive analysis and structural equation modeling. Findings revealed that all three key variables are highly significant. Moreover, digital leadership has a strong effect on teacher digital competency, a weak effect on teacher technology behavior, and teacher digital competency has a moderate effect on teacher technology behavior. The findings also indicated that teacher digital competency mediates the relationship between digital leadership and teacher technology behavior. In conclusion, this study provides valuable insights into the ways in which HEIs can navigate digital transformation by leveraging leadership and focusing on building teacher competency, which in turn can enhance technology usage in teaching practices. This study considered how higher education institutions can cope with the complex challenges of the digital age and suggested ways in which the implications of this research can better enable universities to promote digital transformation.

Patients’ trust in health information sources as an antecedent of novel healthcare technology usage

Abstract Background As professional health information sources, healthcare maintenance organizations (HMOs) need to convince patients of the necessity, efficiency, and reliability of technology-based services to increase and optimize their usage. It raises the question of whether patients’ trust in health information sources shapes the use of technology-based services and, in return, increases their willingness to use novel healthcare services in the future. Methods Data were collected through an online close-ended survey among 668 adult Israeli citizens insured with Israeli health insurance (85% of them Jewish, 52.5% female, and in their early 40s, with half holding an academic degree). The survey explored actual use and willingness to use innovative healthcare technologies and the trust respondents attributed to various sources of health information. Data were analyzed by SPSS 28. Results Participants generally use healthcare technology primarily to schedule appointments, search for medical information, and make health-related requests. To quite an extent, they are willing to be treated with innovative healthcare technologies (e.g., for radiological purposes and personally tailored medication). Preliminary results suggest that trust in the measured formal health information sources (i.e., formal health providers, HMO, HMO online services) was positively associated with technology-based healthcare services usage (r=.14 - .20, p&amp;lt;.001). A positive association also emerged between the current use of healthcare technology and the willingness to use innovative medical technologies in the future (r=.23, p&amp;lt;.001). Conclusions HMOs, as key players, have the power to maximize the usage of advanced health services by establishing trusting relationships with their patients. This will increase the usage of healthcare technology-based services and generate positive patient experiences, which will result in the willingness to experience novel types of health services in the future. Key messages • Encouraging patients to use technology-based health services will maximize the potential inherent in the use of innovative health services and treatments in the future. • Nurturing trusting relationships with patients at any level in the health system will increase their compliance with health providers’ recommendations to use advanced health services.