Technology Acceptance Factors Research Articles

Dimensions of Mobile-banking in Greece During Covid-19

The Covid-19 pandemic reveal the need for structural reforms in various economic sectors including the banking sector. In Greece the banking sector needs to promote structural reforms promoting new products and services or improve existing ones to improve contactless transactions. The purpose of the paper is to explore the determinants (in terms of demographic, personal and behavioral factors) that are affecting the use of mobile banking during the Covid-19 pandemic in Greece. A multiple logistic regression and a structural equation model analysis are employed, in conjunction with confirmatory factor analysis, based on a proposed extended technological acceptance model (TAM). The data derived from a field survey on 617 users and non-users of mobile banking, using an appropriately-constructed questionnaire. The results showed that the demographics as well as the personal and technology acceptance factors contributed significantly to the adoption of this form of online banking in Greece. From the extended TAM model, perceived usefulness, perceived ease of use, perceived risk, hedonic motivation and social influence were found to have a significant impact on the use of mobile banking. Furthermore, perceived awareness combined with subconscious factors such as personal characteristics of Greek consumers play an important role. This is the first study for Greece, to the best of our knowledge, which examines the determinants affecting the use of mobile banking both in terms of consumers' perceptions and attitudes during a period where contactless transactions became necessary in the everyday life of consumers worldwide.

Interactive service quality on the acceptance of self-service ordering systems for the restaurant industry

论餐饮业中基于自助订餐系统的整合服务质量摘要研究目的本文研究目的有:（1）确认解释客人接受餐厅自助订餐系统（SOSs）的决定因素（2）探索自助系统服务质量（SSQ）和人机服务质量（ISQ）对于UTAUT模型科技接受因素的作用。研究设计/方法/途径本论文的目标受众为近期使用过SOSs在中等餐厅点餐过的客人。样本为402份有效问卷数据。本论文使用PLS分析检测用户接受SOSs的各项因素。研究结果PLS-SEM分析结果表明, SSQ对准确预期、速度预期、努力预期, 有显著作用; ISQ对于准确预期、速度预期、努力预期、以及辅助条件, 有显著作用; 准确预期、速度预期、努力预期、社会影响、辅助条件、以及预算预期对于SOSs用户接受有显著作用。此外, 用户体验调节速度预期和努力预期对于用户接受的作用。研究原创性/价值本论文新增了三种科技接受因子（准确度、速度、和预算）, 为未来的科研创造土壤。本论文还扩展了我们对于人员服务因子在中等餐厅采用SSTs的认知。本论文建议系统开发者应该提高SST系统质量, 以及建议服务人员重新审视在服务产业采用SST中自己的位置。

The Role of Human–Machine Interactive Devices for Post-COVID-19 Innovative Sustainable Tourism in Ho Chi Minh City, Vietnam

In this research article, we aim to study the proposed role of human–machine interactive (HMI) technologies, including both artificial intelligence (AI) and virtual reality (VR)-enabled applications, for the post-COVID-19 revival of the already depleted tourism industry in Vietnam’s major tourist destination and business hub of Ho Chi Minh City. The researchers aim to gather practical knowledge regarding tourists’ intentions for such service enhancements, which may drive the sector to adopt a better conclusive growth pattern in post-COVID-19 times. In this study, we attempt to focus on travelers who look for paramount safety with the assurance of empathetic, personalized care in post-COVID-19 times. In the current study, the authors employ structural equation modeling to evaluate the intentions of tourists both structurally and empirically for destination tourism with data collected from tourists with previous exposure to various kinds of these devices. The study shows that human–machine interactive devices are integrating AI and VR and have a significant effect on overall service quality, leading to tourist satisfaction and loyalty. The use of such social interactive gadgets within tourism and mostly in hospitality services requires an organization to make a commitment to futuristic technologies, along with building value by enriching service quality expectations among fearful tourists. This research shows that tourists mainly focus on the use of such HMI devices from the perspective of technology acceptance factors, qualitative value-enhancing service and trustworthy information-sharing mechanisms. The concept of the tour bubble framework is also discussed in detail. The analysis of this discussion gives us a more profound understanding of the novel opportunities which various administrative agencies may benefit from to position these devices better in smart, sustainable destination tourism strategies for the future so that, collectively, service 5.0 with HMI devices can possibly bring back tourism from being disintegrated. Such service applications are the new social innovations leading to sustainable service and a sophisticated experience for all tourists.

Pengaruh Technology Acceptance Factors, Website Service Quality, dan Specific Holdup Cost, Terhadap Loyalitas Pelanggan Pada Platform Shopee.Co.Id (Studi Pada Mahasiswa Politeknik Kotabaru)

The aims of this study were to analyze the significant and positive effect of technology acceptance factor, website service quality, specific holdup cost on customers’ loyalty partially and simultaneously. The population were Polytechnic of Kotabaru students with 95 people as the samples by purposive sampling technique. The method of data analysis used multiple linear regression. The results showed that 1) there was no significant effect technology acceptance factors on customers’ loyalty partially but has a positive effect, 2) there was negative and no significant effect website service quality on customers’ loyalty partially, 3) there was positive and significant effect specific holdup cost on customers’ loyalty partially, 4) there were positive and significant effect on technology acceptance factors, website service quality, specific holdup cost simultaneously.

Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study.

BackgroundThe increasing health service demand driven by the aging of the global population calls for the development of modes of health service delivery that are less human resource–intensive. Electronic health (eHealth) and medical apps are expected to play an important role in this development. Although evidence shows mobile medical apps might be effective in improving the care, self-management, self-efficacy, health-related behavior, and medication adherence of older adults, little is known about older adults’ intention to use these technologies when needed, or the factors influencing this intention.ObjectiveThe objective of this study was to investigate the relationship of technology acceptance factors and intention to use mobile medical apps among community-dwelling older adults.MethodsData was collected using questionnaires. The factors selected from the literature have been validated using Cronbach α and tested for significance using logistic regressions.ResultsAlmost half (49.7%) of the included older adults reported no intention to use medical apps. Adjusted logistic regression analysis per factor showed that the factors Attitude toward use (odds ratio [OR] 8.50), Perceived usefulness (OR 5.25), Perceived ease of use (OR 4.22), Service availability (OR 3.46), Sense of control (OR 3.40), Self-perceived effectiveness (OR 2.69), Facilities (OR 2.45), Personal innovativeness (OR 2.08), Social relationships (OR 1.79), Subjective norm (OR 1.48), and Feelings of anxiety (OR 0.62) significantly influenced the intention to use mobile medical apps among older adults, whereas the factor Finance (OR 0.98) did not. When considered together, a controlled multivariate logistic regression yielded high explained variances of 0.542 (Cox-Snell R2) and 0.728 (Nagelkerke R2).ConclusionsThe high odds ratios and explained variance indicate that the factors associated with the intention to use medical apps are largely understood and the most important factors have been identified. To advance the evidence base, experimental controlled research should investigate the causality between the factors, intention to use, and actual use. For this purpose, our evidence suggests that policies designed to improve Attitude toward use appear most effective, followed by policies addressing Perceived usefulness, Perceived ease of use, Service availability, and Sense of control.

The Effect of Technology Acceptance Factors on Behavioral Intention for Agricultural Drone Service by Mediating Effect of Perceived Benefits

The Effect of Technology Acceptance Factors on Behavioral Intention for Agricultural Drone Service by Mediating Effect of Perceived Benefits

Influence of Culture on Knowledge Sharing Attitude among Academic Staff in eLearning Virtual Communities in Saudi Arabia

Knowledge sharing is a significant component of success in knowledge management. In Saudi Arabia, knowledge management is often lacking when it comes to knowledge sharing adoption, especially between academic staff. This research aims to investigate various factors of knowledge sharing adoption for eLearning communities in Saudi Arabia and to examine the effect of culture as a moderating role on the relationships between these factors and academics’ attitude. Therefore, a framework is aimed at sharing knowledge within the eLearning communities is developed. Data has been collected from public universities in Saudi Arabia. Partial Least Square approach has been applied to analyse the data. The results show individual factors (such as openness in communication, interpersonal trust) and technology acceptance factors (perceived usefulness and perceived ease of use) significantly influence knowledge sharing attitude, while the relationship between people self-motivation and knowledge sharing attitude is insignificant. Subjective norm and attitude significantly impact behavioral intention toward knowledge sharing adoption in Saudi universities’ eLearning communities.

Teachers’ acceptance and use of digital learning environments after hours: Implications for work-life balance and the role of integration preference

While a growing number of teachers use information and communication technology (ICT) for work tasks outside the formal working hours and premises, research is inconclusive how this relates to their work-life balance. Following calls to examine the antecedents and moderating mechanisms of such behavior, the present study aims to examine how technology acceptance relates to work-related ICT use after hours (WIA) and work-life balance, as well as how employees' integration preference affects these relationships. Data was collected among 288 secondary school teachers in Flanders (Belgium) concerning their use of digital learning environments (DLE) beyond school grounds and school hours. Structural equation modelling shows that social influence reduces teachers' work-life balance mediated by WIA. While there was no support for other technology acceptance factors or the moderating role of integration preference, performance expectancy of the DLE and integration preference were associated with a higher work-life balance. Hereby, this study contributes to research on WIA by integrating the technology acceptance framework with boundary theory and work-life research. Overall, the findings show that DLE have an impact on teachers’ work-life balance independent of technological factors or their personal preference, underscoring the importance of school policies that cement the use of DLE in the private domain.

Telepresence, time distortion, and consumer traits of virtual reality shopping

Even though VR(Virtual Reality) shopping provides new opportunities for today’s marketers, it is not readily embraced by consumers. In this research, we aim to understand the underlying factors that facilitate the adoption of VR technology, by incorporating the consumer flow theory and the Technology Acceptance Model (TAM). Specifically, we find that factors that enhance consumer flow (i.e., telepresence, challenge, body ownership, and control) are positively associated with antecedent factors of technology acceptance (i.e. playfulness and usefulness), which are, in turn, associated with greater intentions to adopt and utilize VR technology in a consumer setting. We also investigate the moderating role of technology readiness and time distortion on the relationship between telepresence and playfulness. Data was collected by having participants use VR glasses in an actual VR supermarket that was created for this study. By elucidating factors that help consumer adoption of VR technology and emphasizing unique factors inherent to VR (i.e. telepresence and time distortion), this paper provides important contributions to the literature and implications for marketing managers.

Faktor-Faktor yang Mempengaruhi Minat Institusi Pendidikan dalam Menerapkan Sistem Pembayaran Online

The growth of financial technology is increasing very rapidly, followed by the number of players in this industry. However, society’s digital literacy still needs to be developed. PT Infra Digital Nusantara is one of financial technology start-up that focuses on online payment transactions in the education sector. Offering the financial system, especially online payment to an education institution, yet PT IDN is still struggling to gain new customers. In this study, the factors that affecting the interest and needs to implement online payment for education sectors were analyzed. Data processing was performed using the method of Structural Equation Modelling-Partial Least Square (SEM PLS). Target survey respondents were the customers of PT IDN. The results showed that Perceived Usefulness, Perceived Ease of Use, Attitude towardUsingTechnology, and Behavior Intention to Use had significant factors in affecting The Actual Use of the System. This is indicated by t-valuesof all hypotheses are above 1.96 at the 95% significance level.Hence, Perceived Usefulness, Perceived Ease of Use of the system and Attitude toward Using Technology, as the key determinant factors of technology acceptance, needs to be maintained carefully.

온라인 스포츠용품 구매자의 기술수용요인이 쇼핑몰 신뢰, 만족 및 미래 소비행동에 미치는 영향

온라인 스포츠용품 구매자의 기술수용요인이 쇼핑몰 신뢰, 만족 및 미래 소비행동에 미치는 영향

Adoption of ICT enabled Agricultural Extension Services through Perceived Economic Wellbeing

This article investigates the technology acceptance factors in the context of information communication technology enabled agricultural extension services. Behavioral intention has always been a consequence of the technology acceptance model. The purpose of this study was to examine if the consequence of adoption be an economic benefit to the customer. It examines how these factors influence perceived economic well-being of such users. A stratified sampling procedure was adopted to obtain data from 325 valid responses from rural Indians using a structured survey instrument. A two step method was applied to analyse the data. First, the measurement model was calibrated for the reliability and validity of constructs. Then, the strength and direction of the hypothesized relationships were investigated by the structural model using structural equation modeling. Users of mobile application were checked for their perceived usefulness, perceived ease of use, subjective norm and attitude for their perceived economic well-being. These four factors, when regressed upon the perceived economic well-being using structural equation modeling predict that all but attitude is significant. This article improvises the extant technology acceptance model by replacing behavioral intention with a perceived economic well-being as a consequence. A consumer who perceives economic benefits is more likely to adopt an innovative product. Marketers can advertise the economic benefits so that the target customers adopt such technologies. By this research, the authors have identified a different outcome for perceived usefulness, perceived ease of use, attitude and subjective norm. A new relationship between the exogenous variables perceived usefulness, perceived ease of use, subjective norm and attitude and the endogenous variable perceived economic well-being is established by this study. Behavioral intention can be replaced by perceived economic well-being as the outcome in the technology acceptance model.

E-Learning Adoption and Acceptance in Pakistan: Moderating Effect of Gender and Experience

With the rapid growth of ICT (Information and Communication Technologies), the traditional educational system has been restructured into e-learning systems. E-learning adoption and acceptance is in rudimentary stages of development in Pakistan. Therefore, it is imperative to understand and evaluate the critical factors of technology adoption and acceptance considering the moderating effect of individual differences (gender and experience) based on Technology Acceptance Model. Quantitative analysis was conducted on 356 learners from the Virtual University of Pakistan. Structural Equation Modelling was used to test research models. The results illustrate that the perception of and intention to adopt technology are highly dependent on gender and experience in using e-learning systems. Computer anxiety and social influence are significant predictors of elearning adoption in female learners whereas social influence and enjoyment is significant predictors in less experienced learners than more experienced learners.

Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products?

Most modern people inevitably use smart phones for their daily activities. These devices are more than just telephones and a means to connect with others for many people. They are also fashionable products. This study utilizes two models—the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT)—to explore whether cognitive age is an important factor influencing technology acceptance behavior. We conduct a comparative analysis using the two models in the context of smartphones. Our results using model 1 show that perceived usefulness, perceived ease of use, fashion involvement, and flow are all significant factors in technology acceptance and use by digital natives (i.e. those under 34 years old). The results of model 2, which divides digital immigrants into two groups, reveal that perceived usefulness, perceived ease of use, and flow are significant for digital immigrants who perceive themselves to be younger than their chronological age. For digital immigrants who perceive themselves to be as old as or order than their chronological age (cognitive age> = 34 years old), only perceived usefulness is significant. Finally, we discuss these results and make suggestions relevant to technology acceptance and use in different cognitive age groups.

Highlighting E‑learning Adoption Challenges using data Analysis Techniques: University of Kufa as a Case Study

Electronic learning (e‑learning) plays a significant role in improving the efficiency of the education process. However, in many cases in developing countries, technology transfer without consideration of technology acceptance factors has limited the impact of e‑learning and the expected outcome of the education process. Therefore, this shift in learning method has been met with low enthusiasm from academic staff and students owing to its low perceived usefulness and perceived ease‑of‑use. The University of Kufa (UoK) in Iraq is considered a good case study because it has implemented the e‑learning platform since 2013. The UoK platform is based on open‑source Moodle owing to the latter’s advantages, such as low implementation cost, open community for support and continuous update and development. To identify and evaluate the challenges, this study uses a questionnaire survey that targets the level of adoption, implementation, familiarity and technology acceptance of staff and students. A total of 242 educators participate in the survey, and the data are subsequently analysed. Important information is extracted using data mining techniques, namely clustering and decision trees. One of the main crucial factors extracted from the analysis results is the perception that social media is easier to use compared with a dedicated e‑learning platform such as Moodle. This factor may also discourage educators/learners from adopting an offered e‑learning platform, regardless of actual usefulness, motivation and training programs. Therefore, this paper offers practical information regarding the main issues and a guideline to fully utilise e‑learning for policy makers and e‑learning developers, particularly in newly established institutions or developing countries.

The Evolution Adoption Technology Theory for E-Commerce

The development of technology presents e-commerce as an alternative buying and selling place beside the offline shopping center. The growth of e-commerce globally confirms people's acceptance of e-commerce presence. Various theories of technology acceptance have been formulated to determine the factors that drive technology acceptance. The evolution of technology acceptance theory aims to overcome the problem of technology acceptance from various factors. The acceptance of e-commerce is interesting to learn as a reference to determine the right strategy in the future. This study aims to classify the journey of technology acceptance in e-commerce so that it can show the driving factors for the acceptance of e-commerce in the future. This study uses a literature review approach to the use of UTAUT theory in e-commerce. UTAUT technology acceptance theory is a combination of various previous theories. In general, technology acceptance theory uses an approach that is felt by humans. This study reveals that the technological dimension in resolving humanity is an important factor in technology acceptance. Changes in the e-commerce phase play a role in determining the factors that drive their acceptance of the community. Trust becomes an important factor at the beginning of the introduction phase of e-commerce. Meanwhile, user experience as part of the technological dimension becomes an important factor in the determination phase of e-commerce based on its market. The novelty of this research is to offer the development of technology acceptance factors on UTAUT theory. The practical contribution of research as a reference for management in the preparation of future e-commerce strategies through supporting factors for technology acceptance.

Comparing customer perceptions of potential autonomous vehicle manufacturers: an analysis of the relationship between corporate reputation and intention to use

The introduction of autonomous vehicles has the potential to change the world of mobility. As they can be understood as 'really new products', customers cannot evaluate their technical characteristics yet. Instead, customers' perceptions of competing companies might be an important determinant of acceptance. Hence, in this study, we examine the role of corporate reputation, precisely character and capability reputation, as well as adverse events to understand what drives customers' intention to use autonomous vehicles beyond traditional technology acceptance factors. We highlight differences between three groups of potential manufacturers. Our results indicate that corporate reputation is an important prerequisite for customers' acceptance. Furthermore, adverse events negatively affect reputation. Regarding the different groups, we find that mobility start-ups benefit from an overall positive evaluation, whereas consumers are less confident towards traditional automotive manufacturers. The study enhances the understanding of customer intentions in automotive management research and expands the literature on corporate reputation.

Mobile Commerce: A Rising Wave of Consumer Purchase Intention

Because of the commonness and extensive usage of online technology these days, mobile commerce is an emerging area of attraction for marketing research. Although there is a dearth of studies exploring the factors that influence on mobile commerce embracement and adoption through mobile applications in general, particularly the effect of mobile commerce adoption attitude using Technology Acceptance Model (TAM) remains uncharted. The exploration of the technology acceptance factors is quite challenging and demanding primarily due to the reason that online population is widely dispersed and diversified in terms of their dynamics. Still this area remains a venture of curiosity to the marketers due to magnetism in its potential. Current research assist marketers by providing an insight into the factors that explains this scenario and the results could be used to capitalize the fast growing online market. Three hypothesis strongly validated the effect of perceived trust, perceived value and social influence on mobile commerce adoption while perceived self-efficacy was found to have a little effect on mobile commerce adoption. Predominantly, it was found that Technology Acceptance Model (TAM) remains most effective predictor to mobile commerce adoption. Current research could be used to comprehend and take advantage of key psychological attributes mentioned in the study to upsurge the volume of existing mobile commerce market.

Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products

The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology acceptance theories have been used to explain acceptance of these products. This comparative study determines which models best explain consumer acceptance of AI-based intelligent products and which factors have the greatest impact in terms of purchase intention. We assessed the utility of the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Value-based Adoption Model (VAM) using data collected from a survey sample of 378 respondents, modeling user acceptance in terms of behavioral intention to use AI-based intelligent products. In addition, we employed decomposition analysis to compare each factor included in these models in terms of influence on purchase intention. We found that the VAM performed best in modeling user acceptance. Among the various factors, enjoyment was found to influence user purchase intention the most, followed by subjective norms. The findings of this study confirm that acceptance of highly innovative products with minimal practical value, such as AI-based intelligent products, is more influenced by interest in technology than in utilitarian aspects.

Information technology in primary school management

Difficult acceptance of scientific and technological advancement is a common fact. Therefore, it is important to recognize school’s capability to build conducive environment for the implementation of new technology as soon as possible. Such recognition will facilitate information technology implementation in school management. This study employs descriptive research method using quantitative approach to uncover the actual description of information technology acceptance factors in the management of primary schools in Indonesia. Total subjects of this study is 173 primary school teachers, consisted of 38 male teachers and 135 female teachers. The findings show that the school community will accept information technology more willingly if the technology in question is up to date.