User Perspective on the Adoption of Mobile Augmented Reality Based Applications

Author(s):  
Markus Salo ◽  
Thomas Olsson ◽  
Markus Makkonen ◽  
Lauri Frank

Mobile augmented reality (AR) based applications enable digital content to be connected with the user’s real world surroundings. To begin with, the current types of consumer-level applications are introduced. The main purpose of the chapter is to study the adoption and perceived strengths and weaknesses of mobile AR-based applications by analyzing quantitative and qualitative responses of 90 actual users. Diffusion of innovations (DOI) theory is adopted with structural equation modeling (SEM) to investigate the intention to use such applications. Perceived strengths and weaknesses, mentioned by the users, are analyzed by qualitative coding. Results indicate that the constructs of diffusion of innovations theory are able to explain 67.7% of variance for the intention to use AR-based applications. Relative advantage, ease of use, and observability are significant factors determining use intentions. The strengths and weaknesses of applications are related to content, features, ease of use, technology and hardware, enjoyment, and concept.

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Erasmo Miranda Bojórquez ◽  
Osslan Osiris Vergara Villegas ◽  
Vianey Guadalupe Cruz Sánchez ◽  
Jorge Luis García-Alcaraz ◽  
Jesús Favela Vara

This paper presents the results of a study applied to undergraduates in order to know how the cultural dimensions affect their perceptions of the acceptance and use of new technologies in a student-centered learning environment. A total of 85 undergraduate students from the Autonomous Indigenous University of Mexico (UAIM) participated in the study. Each student was asked to use a mobile augmented reality (MAR) application designed to learn Mayo language (language spoken in Northwestern Mexico). Afterwards, the students responded to a survey with items concerning the use and technology acceptance and about cultural dimensions of individualism and uncertainty avoidance. Structural equation modeling (SEM) was used to analyze the data collected from students. Results provide evidence that the individualism contributes positively to perceived ease of use of the MAR app, and uncertainty avoidance has no impact. The findings showed that the MAR system could be easily used if it includes a natural way to promote collaborative work. In addition, to gain the trust of students, the uncertainty avoidance needs to be reduced by enriching the help information offered for app use.


2014 ◽  
Vol 10 (3) ◽  
pp. 19-31 ◽  
Author(s):  
Norazah Mohd Suki ◽  
T. Ramayah ◽  
Au Soo Nee ◽  
Norbayah Mohd Suki

Awareness of the importance to install anti-spyware software in one's computer has increased in this digital world. This research aims to investigate the relationship between relative advantage, moral compatibility, ease of use, subjective norms, image, computing capacity, perceived cost, and trialability, and the consumer intention to use the anti-spyware software. Data was coded and analyzed in the Statistical Package for Social Science (SPSS) computerized software version 21 and analyzed by means of Exploratory Factor Analysis (EFA). Next, Structural Equation Modeling (SEM) technique via Analysis of Moment Structure (AMOS) computer program version 21 was used for data analysis in order to achieve the research objective. Results validated the hypotheses and revealed that five vital factors: Ease of use, relative advantage, image, perceived cost, and moral compatibility influenced consumer intention to use the anti-spyware software. The ease of use dimension has the greatest impact on consumer intention to use the anti-spyware software. The developers of the anti-virus software or the software development companies should specifically target the right target groups, in terms of its market segmentation, targeting, and positioning, to boost up consumer awareness and deployment of the anti-spyware software. This research brings implication in terms of it does help the researchers and IT professionals to understand factors that influence consumer intention to use anti-spyware software.


2020 ◽  
Author(s):  
Qingwen Deng ◽  
Wenbin Liu

Abstract Background: Inappropriate use of antimicrobial has resulted in some great public health concerns, such as antimicrobial resistance (AMR). Although the effects of clinical guidelines in standardizing clinical practice, controlling costs and reducing medical risks have been proved, the CPGs on antimicrobial hasn’t been widely applied in China yet. Furthermore, the influencing mechanism for the intention to the use of CPGs on antimicrobial remains largely unknown. Methods: By summarizing the relevant literature, the research model and self-administered questionnaire were developed. A national cross-sectional survey was conducted among physicians at tertiary general hospitals in the eastern, central, and western parts of China. Results: A total of 644 valid questionnaires were collected. The results of reliability and validity analysis showed the questionnaire was acceptable. The analyses of structural equation modeling (SEM) showed the proposed model fitted the data well with favorable values of fit indices. SEM results also revealed that seven determinants influence the intention to the use of CPGs on antimicrobial, including attitude (ATT), subjective norm (SN), perceived risk (PR), relative advantage (RA), ease of use (EOU), top management support (TMS) and organization & implementation (OI). Conclusions: The findings of this study revealed the significance of multifaceted factors to enhance the intention to use CPGs on antimicrobial. These findings will not only contribute to the development of targeted intervention strategies on promoting the use of CPGs on antimicrobial, but also provide insights for future studies about physicians’ adoption behaviors on certain health services or products.


Author(s):  
Sompoch Tongnamtiang ◽  
Adisorn Leelasantitham

This study examined the factors that influence consumers’ acceptance and use of self-service technology by integrating a ground theory model such as the technology acceptance model and the theory of innovation adoption. The variables that affect consumers’ attitudes and intentions were investigated; this included perceived usefulness, perceived ease of use, relative advantage, complexity and knowledge. Further, the variables from the resistance theory, which consist of usage barriers and ability, were investigated. Interviews and surveys were conducted with two business operators that provide TVM services; eight hundred online and offline consumers who experienced the TVMs were selected as a sample. The research model of this study was developed, and the correlations between the variables analyzed, using structural equation modeling. Our results confirm that the factors such as relative advantage, knowledge, perceived usefulness and perceived ease of use positively affected the attitude and intention toward using the TVM; factors such as usage barriers and complexity negatively impacted the intention to use the top-up machine. These results can be used as baseline data for developing or designing self-service technology. Entrepreneurs should consider these factors to make technology continue to be recognized and persisted in the use of technology.  


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.


Author(s):  
Qingwen Deng ◽  
Zhichao Zeng ◽  
Yuhang Zheng ◽  
Junhong Lu ◽  
Wenbin Liu

Abstract Background With inappropriate use of antimicrobials becoming a great public health concern globally, the issue of applying clinical practice guidelines (CPGs) to regulate the rational use of antimicrobials has attracted increasing attention. Taking tertiary general hospitals in China for example, this study aimed to identify factors to investigate the comprehensive influencing mechanism for physicians’ intention to use CPGs on antimicrobials. Methods Based on the integration of Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), and Technology-Organization-Environment framework (TOE), a questionnaire survey was conducted covering potential determinants of affecting physicians’ intentions to use CPGs on antimicrobials at the individual level (attitude, subjective norms and perceived risk), technical level (relative advantage and ease of use), and organizational level (top management support and organizational implementation). Data were collected from 644 physicians in tertiary general hospitals in eastern, central and western China, which were obtained by multi-stage random sampling. The structural equation modeling (SEM) was used to link three-level factors with physicians’ behavioral intentions. Results The majority of the participants (94.57%) showed a positive tendency toward intention to use CPGs on antimicrobials. The reliability and validity analysis showed the questionnaire developed from the theoretical model was acceptable. SEM results revealed physicians’ intentions to use CPGs on antimicrobials was associated with attitude (β = 0.166, p < 0.05), subjective norms (β = 0.244, p < 0.05), perceived risk (β = − 0.113, p < 0.05), relative advantage (β = 0.307, p < 0.01), top management support (β = 0.200, p < 0.05) and organizational implementation (β = 0.176, p < 0.05). Besides, subjective norms, perceived risk, relative advantage, ease of use, and top management support showed their mediating effects from large to small on the intentions, which were 0.215, 0.140, 0.103, 0.088, − 0.020, respectively. Conclusions This study revealed the significance of multifaceted factors to enhance the intention to use CPGs on antimicrobials. These findings will not only contribute to the development of targeted intervention strategies on promoting the use of CPGs on antimicrobials, but also provide insights for future studies about physicians’ adoption behaviors on certain health services or products.


2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.


Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>


2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.


Author(s):  
Koay Ying Yin ◽  
Kuah Yoke Chin ◽  
Chan Ling Meng ◽  
Ng Chee Pung

The internet has opened doors for electronic voting (E-voting). A review of the loopholes of the 14th General Election in Malaysia including the delay of votes from overseas voters, the declaration of a public holiday on voting day and the extraordinary heavy traffic, implies that E-voting could be a better alternative to the paper-based ballot voting. Therefore, the objective of this study is to examine the determinants of the intention to use the E-voting system among Generation X in Malaysia. This study focused only on Generation X because most internet users are from this age group (22 to 37-year olds) compared to other age groups. Hence, Generation X may be the focus of E-voting. A survey of 351 respondents on their intention to use E-voting system was conducted throughout 13 states and the Federal Territory of Kuala Lumpur (Wilayah Persekutuan). Additionally, an empirical model was drawn from adopted theories and data was analyzed using the Partial Least Squares – Structural Equation Modeling (PLS-SEM) approach. The findings showed that compatibility, relative advantages and perceived ease of use significantly contributed to the intention to participate in E-voting. However, perceptions of image, complexity of use, perceived usefulness, trust in the internet and in the government are not significantly related to the intention to use E-voting.


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