Technology Anxiety Research Articles

The experiences of the elderly regarding the use of rehabilitation assistive technologies: a directed qualitative content analysis

Purpose The elderly population faces reduced levels of health and performance, which necessitates the use of rehabilitation assistive technologies to maximize functional independence in daily activities. This study aimed to explain the experiences of the elderly regarding the use of rehabilitation assistive technologies based on the Unified Theory of Acceptance and Use of Technology. Methods The present study was a qualitative study of the type of content analysis that was conducted in the city of Hamadan in 2022. Participants included 20 elderly aged 60 years or above who were selected as a purposive sample and subjected to individual semi-structured in-depth interviews. Data were analyzed using directed qualitative content analysis based on Hsieh and Shannon’s approach. Data were coded using MAXQDA software (MAXQDA Analytics Pro 2020, VERBI GmbH Berlin). Results According to the results, 260 primary codes were extracted, and they were classified into five predetermined categories of the Unified Theory of Acceptance and Use of Technology, including performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention, as well as two new categories of technology anxiety and perceived need for technology. After extracting 260 primary codes based on the Unified Theory of Acceptance and Use of Technology, 75 sub-categories were identified in 14 main categories. Conclusion The themes obtained from the study indicate the necessity of providing the required conditions to maintain the complete independence and health of the elderly and strengthen their morale. The results can be helpful in the development of support strategies for family members, healthcare providers, and policymakers.

Factors Influencing Customers’ Apparel Shopping Intention in Metaverse

ABSTRACT The emergence of the metaverse has opened an unbelievable online virtual world offering real-life immersive experiences to consumers. This study examines customers’ fashion apparel shopping intentions in the e-commerce metaverse. We propose a conceptual framework based on behavioral reasoning theory (BRT) to investigate the reasons for the adoption (or not) of the metaverse. The survey of 1170 customers was performed, and PLS-SEM was used to analyze data. The findings suggest that perceived enjoyment, interactivity, imagination, and sense of immersion favors the adoption, whereas perceived risk, traditional barrier, image barrier, and technological anxiety deter metaverse adoption. Our results advance the literature on innovative shopping technology and metaverse fashion apparel shopping intention. We provide guidelines for metaverse marketers and managers.

Efek Penolakan Perubahan Terhadap Niat Menggunakan Aplikasi Apotek K24klik

This study examines the effect of resistance to change in the digitalization of pharmacy services on the intention to use the K24Klik application. The low intention to use the K24Klik application is caused by resistance to change, which is influenced by technological anxiety, security, and dispositional resistance. Data was obtained through questionnaires distributed to people who had never used the K24Klik application with a total sample size of 189—hypothesis testing using SEM (Structural Equation Modeling) with path analysis method. The results of this study show that security and dispositional resistance affect resistance to change, and technology anxiety has no effect on resistance to change, causing low intention to use the K24Klik application.

Leaking my face via payment: Unveiling the influence of technology anxiety, vulnerabilities, and privacy concerns on user resistance to facial recognition payment

As biometric identification techniques for authentication continue to gain prominence, the demand for mobile payment systems employing facial recognition payment (FRP) in diverse business contexts has increased significantly. Leveraging the antecedent-privacy concern-outcome (APCO) model, this study constructs a comprehensive research framework for FRP and subjects it to examination through an online survey involving 1058 Chinese users. The study's results reveal that technology anxiety exhibits significant relationships with technology, provider, legal, and user vulnerabilities. However, it is noteworthy that technology anxiety does not exert an influence on privacy concerns. Conversely, technology, provider, legal and user vulnerabilities are found to be significantly associated with privacy concerns. Furthermore, the research highlights that privacy concerns have a positive association with user resistance to FRP. The current study also provides practical implications for cooperation and governments.

Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety.

This study aims to explore the mediating roles of technological interactivity and technological anxiety in the relationship between perceived usefulness and the willingness to use a smart health device to provide insight into the decision-making process of older adults in relation to the adoption of smart devices. A cross-sectional survey was conducted in Jiangsu, China involving 552 older adults. The study utilized structural equation modeling (SEM) to analyze the relationship between the independent variable 'perceived usefulness' and the dependent variable 'willingness to use.' It also examined the multiple mediating effects of technological interactivity and technological anxiety between the independent and dependent variables. The results indicate that the direct effect of perceived usefulness on willingness to use was insignificant. However, technological interactivity completely mediated the relationship between perceived usefulness and willingness to use. Additionally, technological interactivity and technological anxiety were found to have a serial mediating effect on the impact of perceived usefulness on willingness to use smart healthcare devices. These findings suggest that increasing older adults' intention to use smart healthcare devices requires not only raising awareness of their usefulness, but also addressing technological anxiety and enhancing the interactivity of these devices to improve the overall user experience.

Technology anxiety (technostress) and academic burnout from online classes in university students

Pandemic moments have generated mental and emotional problems in students at all levels. These have been affected by the format of virtual classes, the mandatory confinement and the little physical relationship due to the existing restrictions, generating academic burnout and anxiety in university students. In this context, the objective was to know the existing relationship between burnout and anxiety in students of the FIS-UNCP, the 15-question Maslach Burnout Inventory Student Questionnaire (MBI-SS) was used with the dimensions: Emotional Exhaustion, Cynicism and Loss of Academic Efficacy and 5 questions to know the level of technological anxiety or technostress, with a population of 328 university students of 10 semesters, through the questionnaire in Office Forms. The research design was non-experimental, transectional, with a qualitative-quantitative approach and descriptive-explanatory levels. The descriptive data analysis was made based on the scale, allowing the identification of students with burnout and the structural equation modeling facilitated the establishment of the relationship between the variables. The study showed that 26 students (7.93%) suffer from academic burnout. At the same time, it has been demonstrated that there is a positive and significant relationship between emotional exhaustion and lack of academic efficacy, with technological anxiety with path values of 0.701 and 0.345 respectively, the p-values allowed demonstrating hypotheses 1 and 3 formulated. At the level of the structural model, it allows anticipating future results, since the coefficient of determination (R2) calculated was 0.838.

Technology in farming: Unleashing farmers' behavioral intention for the adoption of agriculture 5.0.

The agriculture sector has undergone a remarkable revolution known as Agriculture 5.0 (Ag 5.0), emphasizing digital technology to boost efficiency and profitability of farm business. However, little is known about farmers' behavioral intension to adopt Ag 5.0. In this study we examine factors influencing farmer's behavioral intension for Agriculture 5.0, identify implementation obstacles and provide managerial solutions to promote Ag 5.0 in Madhesh Province, Nepal, using the Technology Acceptance Model (TAM) and Structural Equation Model (SEM). We tested total of 20 different hypotheses. Primary data were collected from 271 farmers across 9 municipalities in Saptari District, Nepal. The study reveals that technology anxiety [(β = 0.101, p<0.01); (β = 0.188, p<0.01)], self-efficacy [(β = 0.312, p<0.01, (β = 0.170, p<0.05)] and social influence [(β = 0.411, p<0.01), (β = 0.170, p<0.05)] significantly impact the perceived usefulness as well as perceived ease of use, respectively. Individual innovativeness also affects the perceived usefulness (β = 0.004, p<0.05) and perceived ease of use (β = 0.281, p<0.01). Moreover, the study found that attitude towards using Ag 5.0 is significantly influenced by perceived usefulness (β = 0.083, p<0.10) and ease of use (β = 0.189, p<0.01), which, in turn, affects the intention to use Ag 5.0 (β = 0.858, p<0.01). Farmers perceive training programs, government assistance, and subsidies as helpful in overcoming challenges associated with adopting Ag 5.0. This study provides valuable insights for policymakers, development partners, and farmers' organizations, enabling them to understand the factors influencing the readiness for Ag 5.0 adoption in Nepal.

Digital entrepreneurial education and digital entrepreneurial intention: A moderated mediation model

The current study aims to investigate the influence of digital entrepreneurship education, the role of self-efficacy in digital entrepreneurship, and how digital technology anxiety can affect these relationships. The study employs the Social Cognitive Career Theory as its conceptual framework. Using a sample of 1665 students, this study utilized the SPSS PROCESS macro to analyze the research model. The findings revealed that digital entrepreneurial education and self-efficacy significantly influence an individual's intention to engage in digital entrepreneurship. Additionally, the analysis indicated that digital entrepreneurial self-efficacy partially mediates the connection between digital entrepreneurial education and intention. Notably, digital technology anxiety was a negative moderator in this indirect effect. This study is the first to explore the impact of digital entrepreneurial education on individuals' inclination towards digital entrepreneurship, with a particular focus on the moderating role of digital technology anxiety in this relationship. The findings of this investigation make a significant contribution to advancing scholarly discourse on digital entrepreneurial intentions. Recognizing the pioneering nature of this research underscores the importance of ongoing exploration and refinement of the factors that shape entrepreneurial aspirations in the digital landscape.

호텔·레스토랑 고객의 기술불안과 행동의도 간의 영향관계

The purpose of this study was to establish a structural model between technology anxiety, SSTQUAL, customer satisfaction and behaviour intention toward SST and verify the multiple mediating effects of SSTQUAL and customer satisfaction. Among 300 questionnaires distributed, 282 effective responses were entered for data analysis. The collected data were analyzed through reliability test, correlation analysis and structural equation modeling(SEM). In addition, a phantom model was constructed and the significance of the multiple mediating effect was verified by using a bootstrapping method. The findings of the study are as follows. First, technology anxiety found to have a negative effect on the SSTQUAL and behaviour intention, but, not to have a significant effect on satisfaction. Second, SSTQUAL was found to have a positive effect on satisfaction and behaviour intention. Third, customer satisfaction was found to have a positive effect on behaviour intention. Finally, the mediating effects of SSTQUAL was significant in the relationship between technology anxiety and behaviour intention. Also, there was significant statistical multiple mediating effects on SSTQUAL and satisfaction in the relationship between technology anxiety and behaviour intention toward SST.

텍스트마이닝 분석을 통한 가상 인플루언서의 인식 및 활용 방안에 관한 연구

The virtual Influence market is gradually expanding, and its influence is growing as it provides inspiration for tastes and lifestyles. However, research on public awareness and utilisation method regarding this phenomenon is still lacking. In this respect, this research investigated issues on virtual influencers that have appeared in the news and social media over the past two years divided into two periods based on the lifting of outdoor mask mandates during the COVID-19 pandemic. Frequency analysis, N-gram analysis, CONCOR analysis and sentiment analysis were conducted. Through the analysis, the current status of the use of virtual influencers in South Korea and societal perceptions were examined. Based on this, business insights regarding the utilisation of virtual influencers were derived. The analysis revealed that virtual influencers are expanding beyond advertising models to various fields such as finance, fashion, beauty. They are extending their roles to include singers and show hosts, creating economic ripple effects. Despite the increase in positive sentiment towards virtual influencers, there has been a significant decrease in media and social media mentions due to the increase of outdoor activities and related events after the pandemic. The appearance of virtual influencers has evolved to the point where expressions like 'cute', and 'pretty' are used, overcoming uncanny valley. It is assumed that people feel a sense of intimacy, experiencing emotions such as 'love', 'friendship', and 'expectation'. However, it is confirmed that negative perception related to technological anxiety when using new technology based products or services and skepticism about authenticity, implied by the word 'fake' still exist. This research can be a cornerstone for design research related to user journey or scenarios when planning services using virtual influences in the future by helping the public's perception and use of virtual influencers.

Consumer and Chatbots – A New Level of Interaction: A Systematic Review

The purpose of the article is to synthesize the scientific activity to date on the use of chatbots in market practice. Emphasis is placed on the issues of resulting consumer satisfaction. The cognitive purpose of the article is also to identify future directions of research on chatbots in a scientific and business perspective. The article presents a systematic literature review and bibliometric analysis of publications published in Scopus and Web of Science databases conducted with the Bibiometrix package in the R environment. In the further part of the article, the analysis of secondary data - mentions of chatbots published on websites- is presented with the help of Brand24 software. A systematic review of the literature indicated the dominance of US, Chinese and UK publications. This raises the assumption that research on consumers and their satisfaction resulting from interactions with chatbots may overlook cultural or linguistic aspects, which are essential for further developing chatbots' anthropomorphic features, their level of social acceptance, or technological anxiety. The analysis conducted with the help of Brand24 software showed a relatively large number of mentions of chatbots. It is important that researchers on the title issue are also an important voice in the social discourse. Academic research on chatbots and their better understanding can help in implementing and accepting social acceptance. The article addresses an important and timely research issue. In light of the research results obtained, it can be concluded that still few scientific publications have been undertaken in this area.

How to improve voice assistant evaluations: Understanding the role of attachment with a socio-technical systems perspective

With the widespread adoption of artificial intelligence (AI) powered voice assistants (VAs) and increasingly homogeneous competition among enterprises, it is critically important to understand the driving factors behind consumer VA evaluations. Drawing on attachment theory and socio-technical systems theory, this study proposes a theoretical model to examine how social and technical attributes of VAs impact consumer evaluation behavior. To test the model, a two-wave longitudinal survey was conducted among 462 valid samples in China and analyzed using a multi-method approach, including partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). PLS-SEM findings reveal that consumers' VA evaluations (continuance and word-of-mouth intentions) are primarily influenced by individuals' emotional and functional attachments toward VAs. These attachments, in turn, are determined by social attributes (interactivity, natural speech, and design aesthetics) and technical attributes (accuracy, connectivity, and personalization). Furthermore, the results indicate that social and technology anxiety play a moderating role in the relationship between VA attributes and attachments. The fsQCA analysis supports the PLS-SEM findings and identifies three configuration paths for high continuance intention and three configuration paths for positive word-of-mouth intention toward VAs. These findings provide novel insights into both theory and practice.

Exploring the Digital Healthcare Product’s Logistics and Mental Healthcare in the Metaverse: Role of Technology Anxiety and Metaverse Bandwidth Fluctuations

This study is undertaken to investigate the effect of digital healthcare products’ logistics on mental healthcare in the metaverse along with taking into account the role of technology anxiety and metaverse bandwidth fluctuations. Due to the pressure brought on by serious diseases, growing healthcare costs, a rapidly ageing global population, insufficient labour elevated healthcare services, and scarce resources, it does not appear that the health system will be viable in the future. There is a need to be able to deliver health care from hospitals to our houses using cutting-edge technology rather than providing traditional health services using cutting-edge technology. The quantitative survey-based methodology has been used which indicates the targeted population as the staff in the healthcare sector. For this purpose, questionnaires were distributed among the targeted population and their response to 330 questionnaires out of 350 was evaluated using SPSS and AMOS. The results indicated a strong and significant relationship between digital healthcare products logistics and mental healthcare in the metaverse along with the significant moderation for both technology anxiety and metaverse bandwidth fluctuation. The management in various healthcare sectors is using digitalized approaches for carrying out the logistics. This has helped in reducing inefficiencies as well as improving accessibility. Senior managers in various healthcare sectors can keep track of the operations that are being carried out in the organization by using effective digital technologies. Such practices have revolutionized the healthcare system drastically. Other essential stakeholders, such as the patients, are also found to enjoy the benefits of the digital healthcare system as they have easy access to healthcare professionals as well as the required treatment and medicines contrary to the conventional healthcare system. For future studies, intrinsic factors such as motivation, as well as self-efficacy, could be taken as the mediating variables in the context of the current study for obtaining efficient results.

A configurational analysis of the causes of the discontinuance behavior of augmented reality (AR) apps in e-commerce

The discontinuance behavior of augmented reality (AR) apps is a significant challenge for enterprises providing long-term services. While AR technology has been widely used in e-commerce, most consumers are not prone to continue using AR apps after briefly experiencing them. The literature lacks a deep understanding of the antecedent conditions of the discontinuance behavior of AR apps in this context and is limited by inconsistent findings; thus, there is a need for an integrated theoretical framework. Based on the two-factor theoretical model, this research focused on six influencing factors from the perspectives of enablers, inhibitors, and individual factors to explore complex discontinuance behavior. In accordance with this theoretical objective, fuzzy-set qualitative comparative analysis (fsQCA), an emerging configuration analysis approach, was adopted. Data were collected from 285 consumers with AR experience on Jingdong, one of the largest e-commerce platforms in China. The fsQCA results revealed multiple configurations for the high and non-high discontinuance behavior of AR apps. Specifically, although system quality and technology anxiety play core roles, discontinuance behavior is also highly dependent on other factors. From these results, five (three) antecedent configurations leading to the high (non-high) discontinuance behavior of AR apps were derived. This research enriches the understanding of the complex, asymmetric, and equivalent causes of the discontinuance behavior of AR apps and provides novel insights that will enable management practitioners to take appropriate countermeasures.

Unveiling the factors shaping consumer acceptance of AI assistant services in the hotel industry: a behavioral reasoning perspective

Technological advancements in automation, artificial intelligence (AI), and robotics have completely changed the service industries, including the hospitality sector. This study aims to investigate the fundamental elements that impact the acceptance (or rejection) of artificial intelligence assistants' services. This research employed semi-structured interviews to gather insights from both individuals who use AI services in hotels and those who do not. Based on Behavioral Reasoning Theory, this study is empirically tested by interviews with intended respondents. This study examines the "reasons for" and "reasons against" using AI assistant services in the hotel. Technology anxiety, privacy concern, prior experience, and task complexity are "reasons against," while performance expectancy, effort expectancy, social influence, facilitating conditions, humanness, social presence, perceived interaction enjoyment, cuteness, and trust are "reasons for." This study found that "reasons against" negatively affect attitude and adoption intention, while "reasons for" positively affect them. Behavioral Reasoning Theory is used for the first time to evaluate Bangladeshi hotel consumers' AI service assistant adoption intentions. As a new technology, AI assistants provide a better understanding of user usage. Furthermore, this study offers essential facts regarding the utilization of technology in the hospitality sector.

FAKTOR-FAKTOR PENDUKUNG PENGGUNAAN ANTREAN ONLINE DALAM MENUNJANG PENINGKATAN MUTU LAYANAN BAGI BPJS KESEHATAN KEDEPUTIAN WILAYAH XI

The aim of this research is to analyze the influencing factors for increasing the use of online queues to support improving the quality of service for BPJS Health Deputy Region The population of the research carried out was all JKN BPJS Health participants who accessed the Mobile JKN application in the Bali Nusra region, totaling 43,838 people. From calculations using the Slovin formula, the sample of respondents in this study amounted to 100 respondents. There is a significant positive influence of performance expectancy, effort expectancy and social influence on behavioral intention to use the JKN BPJS Health Online queuing system with the Mobile JKN application. There is a significant positive influence of Facilitating Conditions on behavioral intention to use the JKN BPJS Health Online queuing system with the Mobile JKN application. There is a significant negative influence of technology anxiety on behavioral intention to use the JKN BPJS Health Online queuing system with the Mobile JKN application. There is a significant positive influence of behavioral intention on use behavior for using the JKN BPJS Health Online queuing system with the Mobile JKN application.

Toolbox: Technological Anxiety Resource for University Students

Entering University is an important transition for students. Requires adaptation and can influence academic success. Psychological disorders might emerge when difficulties like anxiety occur due to insecurity about emotions in a student's life. We are currently living in post-pandemic conditions where pressure is increasing. The project "Toolbox: University Student – Web-interactive Platform", a platform for learning anxiety management, was developed to address this problem among university students. The main objective is to understand whether using the platform (based on cognitive behavioural theory) has effectively managed anxiety among students. It is a case study with a sample of 31 students from two Portuguese Universities, aged between 19 and 47 years. They were divided into two groups: intervention (n=17) and control (n=13). The results show that participants subjected to intervention with the interactive platform decreased their anxiety.

Students' Perceptions of the AI Technology Application in English Writing Classes

With the rapid advancement of information technology, numerous cutting-edge techniques and technologies have been developed to improve learning generally and English learning specifically. The utilization of artificial intelligence (AI) technology in teaching and learning at universities is an inevitable trend in the Industry 4.0 era. This paper aims to investigate students' perceptions of AI technology application in English writing classes. 100 students from four General English classes at Vietnam National University (VNU) took part in this study. To achieve the research purpose, I combined quantitative and qualitative research methods through questionnaires and in-depth interviews. The findings of the study indicate that students' attitudes regarding AI writing tools were favourable in terms of their accessibility, adaptability, and simplicity. However, some challenges are unavoidable when employing these tools, resulting from factors like learners' technology anxiety and lack of tool variety. I hope this research serves as a valuable resource for teachers looking to diversify their teaching methods and encourages students to enhance their interest and motivation in using AI tools for English learning.

Reconciling the personalization–privacy paradox via DoctorBots: The roles of service robot acceptance model elements and technology anxiety

AbstractThe role of artificial intelligence (AI)‐based DoctorBots in improving healthcare and the medical industry is expected to increase significantly in the coming decades. However, contrary to the general view that AI can gradually replace human work, user acceptance of DoctorBots has become an obstacle to the development of AI medical diagnosis. Building on the service robot acceptance model (sRAM), this study investigates the potential of the functional, socioemotional, and relational elements of DoctorBots to reconcile the personalization–privacy paradox, thus enhancing user acceptance. Via two scenario‐based experiments with 398 participants, this study reveals that the negative influence of the personalization–privacy paradox on user acceptance is exacerbated when users' technology anxiety is high. In addition, an online survey of 400 DoctorBot users indicates that ease of use, subjective social norms, social presence, and rapport are effective in addressing both nonpersonalization (NPC) and privacy concerns (PVC). These findings suggest that the healthcare industry can leverage DoctorBots to implement self‐diagnosis. Specifically, DoctorBots' functional elements are effective in mitigating users' NPC, and their relational elements are effective in extenuating users' PVC.

Preliminary Validation and Gender Invariance of the Technology Anxiety Scale in Older Spanish Adults

Preliminary Validation and Gender Invariance of the Technology Anxiety Scale in Older Spanish Adults