SMARTPHONE ADOPTION RESEARCH.docx (original) (raw)
Journal of Management, Economics and Industrial Organization
Technology acceptance models are used in studies aimed at predicting and explaining the user's behaviors towards the acceptance and usage of new technologies. This paper reports the findings from a doctoral research which focused on analyzing the acceptance of smartphones as learning tools between the two contexts of the study: the College of Engineering (CX1) and the College of Education (CX2) at the University of Canterbury, New Zealand. This study was guided by the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The survey questionnaire targeted 310 respondents selected through opportunity sampling after distributing 1170 survey questionnaires. This reseach attempts to validate eh survey instrument using data analysis using Exploratory Factor Analysis (EFA). This technique can better articulate intercorrelated variables together with more accuracy and adopts stringent model fit assessment and validation. This study adopted a five step factor extraction method using EFA in finding the best set of variables that explain the adoption of the smartphone as a learning tool.
Proceedings of the 3rd International Seminar and Conference on Learning Organization (isclo-15), 2016
Nowadays, smartphones and wearable devices are parts of a broader computing offering that include connected screens in the workplace and in public spaces. User experience designs will become critically important. This phenomenon affects individual, organization lifestyle, and educational industry. The high demand from educational industries has given some influences on the academics' lifestyle, specifically the lecturers whose previous lifestyle was conservative. Their conservative lifestyle has changed to a modern lifestyle due to the high level of mobility. This research investigates the influence of innovation factor towards smartphone adoption, which focuses on private college lecturers in Bandung. This research exposes innovation, which is particularly related to the mobile technology (smartphone) that is accepted by the lecturers. This research is aimed to figure out whether there are relevance, observe-ability (observe-ability), compatibility, personal demographics, personal experience, internal environment, and external environment influencing the attitude of smartphone utilization. The conceptual framework is developed from the synthesis of the literatures that are related to the innovation factor of smartphone adoption. The higher the innovation factor is when they use their smartphone, the more of the smartphone adoption takes place. This research was conducted on cross-sectional survey and convenience/accidental sampling from the lecturers of Telkom University in Bandung, Indonesia. The survey was done using questionnaire instrument, distributed using Google docs and face-to-face. Based on the validity and reliability tests obtained from the questionnaire pre-test results, this research questionnaire is apparently valid and reliable after removing item 24 and item 25. Item 24 stated that the usage of smartphone would not improve the business development process of the institution, but the laptop does. Item 25 stated that competitor institutions did not affect the use of smartphone inside an institution. The questionnaire post-test was carried out using 25 out of 27 question items. The next target that should be accomplished is the distribution of the questionnaire for the samples of the research, 223 respondents consisting of private college lecturers. After the number of respondents has been fulfilled, data analysis using Partial Least Square (PLS) technique was executed.
Media Watch
New technology has been credited with the ability to extend human senses. However, adaptation and use of technology has been reported to be intricately mediated by usefulness and ease of use of technology among other contingencies. While Technology Acceptance Model (TAM) has provided the theoretical basis for adaptation and use of technology in a plethora of contexts, little, if any, study has examined the use of ubiquitous smart technological apparatus for academic purpose among the greatest adopters of the technology, university students. The current study examines students' intention of smartphone adoption from the TAM perspective. Data has been collected from students in two public universities in Malaysia and Nigeria. IBM-SPSS version 20.0 and Structural Equation Modeling (SEM) approach with AMOS were used to analyze and test the hypothesized theoretical model. The results suggested that attitude, social influence and perceived usefulness were positively correlated with the respondents' intention towards using smartphones for educational purposes. Moreover, students' attitudes towards adoption of smartphones were directly predicted by perceived usefulness and directly self-efficacy, which in turn, had direct impact on students' perceptions of easiness and usefulness. .indings made a considerable contribution to the heuristic value of TAM and facilitated the maximization of smart technologies for educational purposes.
Social Networking
Systematic Review and Meta-analysis are techniques which attempt to associate the findings from similar studies and deliver quantitative summaries of the research literature [1]. The Systematic review of research literature identifies the common research methods, research design, sample size, parameters used, survey instruments, etc. used by the group of researchers. This study intends to fulfill this purpose in order to identify common research mythologies, dependent variables, sample sizes, moderators and mediators used in the field of analysing technology adoption based studies that utilizes the UTAUT2 model. This research collected over 59 published articles and conducted descriptive analytics. The results have revealed performance expectancy/perceived usefulness, trust and habit as the best predictors of consumer behavioural intentions towards the adoption of mobile application. Behavioural intention was the best predictor of use behaviour among the 57 articles selected. 274 was the mean sample size of research with 25 mean questionnaire items. SPSS and AMOS were the most common softwares used in all 57 studies, and 32 of those studies used UTAUT1 model while 14 researches incorporated the UTAUT2 model. There were also two promising predictors such as perceived risk on behavioural intention and habit on use behaviour.
Innovation Diffusion Theory Review & Scope in the Study of Adoption of Smartphones in India
When mobile phones were introduced in the world markets, little did one expect that these small handheld devices would transform the world as we knew it. This small innovation transformed the lives of millions of people. A simple device which was invented basically as a vocal-communication tool got transformed into a complex gadget that facilitates almost all forms of communication now-a-days be it vocal, written or multimedia. Mobile phones have metamorphosed into smartphones which are far advanced than their predecessors. These smartphones are new innovations in themselves as with each passing day they come up with added features and uses never thought of before. With markets being flooded by these smartphones it will be occupying to study their diffusion across global markets. Indian markets in particular have been swamped by millions of smartphones each month in the last two years or so. This study is aimed to use the framework of Innovation Diffusion theory to suggest a model for the analysis of adoption and ultimately the diffusion of smartphones in India. The innovation diffusion theory in itself has developed immensely from the time of its origin (1962) till the present day. This paper will try to discuss some of the key elements of Innovation Diffusion theory.
In this study, a mobile learning adoption scale (MLAS) was developed on the basis of Rogers’ (2003) Diffusion of Innovations Theory. The scale that was developed consists of four sections. These sections are as follows: Stages in the innovation-decision process, Types of m-learning decision, Innovativeness level and attributes of m-learning. There is one question at the level of classification regarding the investigated characteristics of the participants in the first three sections of the scale. The last section of the scale is composed of 18 items and 5 sub-dimensions in the 7-item Likert type. MLAS was developed in three stages. In the first stage, a detailed review of literature was performed and an item pool was formed. In the second stage, explanatory factor analysis was performed to determine the factor structure of the scale while confirmatory factor analysis was performed to test whether the factors formed confirmed the theory or not. In the final stage of the study, the reliability of the scale was determined through item, test-retest reliability and internal consistency (Cronbach Alpha) analyses. In conclusion, the scale developed within the scope of this study was shown to yield valid and reliable scores.
Technology Adoption with respect to various Brands of Smart Phones
International Journal of Innovative Technology and Exploring Engineering, 2019
The new technology has led the development of the economic growth of the nation. The creators of the new technology keep in mind the need of the people and comes out with most reliable and feasible technology which is mostly diffused and used by the new technology adopters. The technology developed are innovative and user-friendly in the smart phone industry. Every aspect that is considered to build and develop a smart phone are through the research and development. This study focuses on the audience who adopt to use the new technology with respect to the smartphones. There are few studies to show the technology adoption life cycle and its types of adopters. Various smartphone brands keep updating the technology to give its users the best features, the technology adopters also keep up with the updated technology to adopt to the new developments. The smartphones not only develop the hardware but also keep updating their software as well. This study also concentrates and brings out th...
The Mobile Learning Adoption Model Tailored to the Needs of a Private University
Electronic Journal of e-Learning, 2020
The mission of today’s universities is to prepare the students properly to live and work in the 21st century. International research demonstrates the positive impact of using iPads in teaching. Successful deploying of mobile learning (m‑learning) is not a matter of accident, but depends on users’ acceptance of the technology. The purpose of this article is to create a mobile learning adoption pre‑model tailored to the needs of a private university. To achieve this goal, valued adoption models were analyzed and, on their basis, the new model was created. The pre‑model has been tested with a questionnaire. A paper‑based survey was conducted among 640 students representing 25 countries. The questionnaire was grouped into sections: specifications of mobile devices owned by students and mobile internet access, expectation from mobile education application and attitudes towards current and future use of mobile devices in education. We computed all data with The Statistical Package for the...
Fundamentals of technology diffusion and mobile phone case study
1998
The fundamentals of technology diffusion are introduced in this paper. Mathematical and heuristic (loose) modeling are defined and illustrated with real data. Starting with the embryonic phase, diffusion undergoes growing and mature phases and ends in the aging phase. The cumulative adoption function (of time) denoting the total number of users of a certain product is the output of the diffusion model used to either predict future trends (eg sales) or estimate certain model parameters.
Modelling the factors that influence mobile phone adoption
Proceedings of the 2007 annual research …, 2007
Technology adoption models specify a pathway of technology acceptance from external variables to beliefs, intentions, adoption and actual usage. Mobile phone adoption has been studied from a variety of perspectives, including sociology, computer-supported cooperative work and human-computer interaction. What is lacking is a model integrating all these factors influencing mobile phone adoption. This paper investigates technology adoption models as a strategy to match mobile phone design to user's technological needs and expectations. Based on the literature study we integrate three existing technology adoption models and then evaluate the proposed model with interviews and a survey. The contribution of this paper is a model for representing the factors that influence mobile phone adoption.
Factors Influencing the Adoption of Mobile Applications in Facilitating Learning
IAEME PUBLICATION, 2016
Mobile Technologies have an increasing trend in the role of student’s academic lives. The emergence of smart phone has brought dramatic changes to the education field. As the global market is becoming more reliant on mobile technology, education field is yet to reap the benefits offered by the advancement of mobile technology. They enable students to acquire knowledge and have been seen as a form of learning. However, the uptakes of mobile applications for learning among students have not been well received. Therefore, the intent of study is to understand about student’s acceptance of mobile applications as a form of learning. In this study, the modified DOI model will be used to identify the influences of the adoption of mobile applications in facilitating learning. This research is able to provide an in-depth insight on the adoption process through the five attributes of relative advantage, compatibility, complexity, triability and observability. Furthermore, three additional constructs namely copyright clearance, mobile skillfulness and perceived enjoyment will be incorporated into the DOI framework. These additional constructs provide a comprehensive view on the copyright, mobile functions and enjoyable with the adoption of mobile applications. The findings will be useful for academicians. In addition, this research will contribute significantly to the society as its result can be applied to the adoption of mobile applications in the global education field.
An Empirical Study of Mobile Information Service Adoption at Norwegian University
This study aims at investigating the adoption of mobile information services at a Norwegian University. By expanding the Technology Acceptance Model (TAM), a research model, called mobile services acceptance model together with seven research hypotheses is presented. The proposed research model and research hypotheses were empirically tested using data collected from a survey of 46 users of a mobile service called extended Mobile Student Information Systems (eMSIS) at a Norwegian university. The findings indicated the fitness of the research model is good and strong support was found for the seven research hypotheses. Among all the factors, the personal initiatives and characteristics had the most significant influence on the intention to use eMSIS.
This paper deployed Roger's innovation adoption theory to explain the penetration of mobile technology in Nigeria's premier higher educational institution, the University of Ibadan, using data collected from 370 students. Technological characteristics such as relative advantage, complexity, trialability and compatibility explained adoption. Age is negatively and significantly related to adoption, and enrollees for the PhD. programme appear to be less intensive adopters of mobile phones than those in the master's and bachelor's degree programmes. Except for interpersonal relationship, all psychological variables, perceived popularity, perceived need and mass media use have a significant relationship with adoption of the technology. This study is limited to respondents selected from one university using a questionnaire. Apart from providing policy information to the university which is currently implementing mobile learning systems, the results of the study may provide...
Journal of Applied …, 2011
This study examines how the Technology Acceptance Model (TAM) can be used as a practical tool for early user acceptance and adoption of testing mobile communication devices for learning by evaluating the relationships among perceived usefulness, perceived ease of use, attitude towards using, behavioural intentions to use and actual use. In the study, 60 potential users were presented with an introductory demonstration of smart phone for a digital systems course. Following the demonstration, data on user perceptions and attitudes about smart phones were gathered based on this initial exposure. Subjects with prior experience using the smart phones were eliminated from further analysis resulting in a final sample of 40 users. Hierarchical multiple regression was used to assess the overall model and influence of each variable of interest in determining actual use of smart phone. The analysis showed that both the user perceptions and attitudes have significant positive effects on behavioural intention and actual use of smart phone. Implications of these findings for practice and research are examined.
Telematics and Informatics, 2018
This paper analyzed the adoption of using mobile learning (m-learning) in higher education. Mobile Learning as a model of e-learning refers to the acquisition of knowledge, skills and attitudes by utilizing mobile technologies. With the increasing coverage of mobile networks, learning services can play the increasing and effective role in education at any time and place. Continuous access via mobile devices creates special facilities like sending and saving the learning content to learners etc, it is accompanied with continuous education. This paper, with a study of "what is the impact of the mobile phone usage in education?" provides approaches and theories of mobile learning in training. The paper aimed to evaluate the essential factors for the adoption and application of education information system that has been created by students. The survey was based on the history of technology adoption and covered students. Furthermore, a case study from students of K. N. Toosi University in Iran was presented to indicate the performance of this method in practice. The statistical society included 300 members from Information Technology students of Iran's K. N. Toosi University of Technology. The factors related to adoption of mobile learning in higher education was classified into seven main categories as: ease of use, trust, characters and personal qualities, context, perceived usefulness of using, behavioral intention, and culture of using a research model. From the results, mobile learning could be one of the promising educational technologies for development in educational environments and culture of using. The context of applications has a significant positive effect on the ease of use factor and usefulness and the ease of use has a positive effect on the usefulness factor. The trust factor has a positive and significant effect on the behavioral intention. The personal features and characters factor have a significant positive effect on the culture of using and the culture of using the application has a significant positive effect on the behavioral intention.
3G Services Adoption among University Students: Diffusion of Innovation Theory
3G services represents an evolution in telecommunication industry. However, 3G services has not received great adoption rate as expected despite of various benefits provided by this service. This study aims to investigate the factors affecting the intention to adopt 3G services among the university students in Malaysia since they expected to be the group with great potential to adopt 3G services. Diffusion of innovation theory is modified and applied in this study to achieve the objective. Results of this study show that perceived compatibility, perceived relative advantage, perceived results demonstrability, perceived trailability, perceived image, and perceived enjoyment are significantly associated with intention to adopt 3G services. Surprisingly, perceived cost of using 3G services is found to be positive but insignificant associated with intention to adopt 3G services. Managerial implications and conclusion have been discussed.
Acceptance of Smartphone as a Mobile Learning Tool in Kuwait's Tertiary Education Context
Psychology & Education, 2019
The proliferation of communication technologies led to Smartphones becoming ubiquitous. They continue to influence everyday life; and have disrupted humanities many conventional activities. They have relatively strong computing and connectivity capability built into their small cases and are equipped with intuitive operating systems, smart sensors, and applications. They have become excellent contrivance as an instant-learning content provider, a prompt and handy communicator, a productivity agent, and can significantly enhance blended learning. This research explored the fundamental factors influencing students' intentions to use smartphones as mobile learning tools. In this paper, the modified Unified Theory of Acceptance and Use of Technology (UTAUT2) model was used. The findings showed significant roles of students' behavior intention to use the device as a learning tool. Furthermore, the empirical evidence from this research demonstrates that the UTAUT2 model is a significant predictor of students' behavior intention to use smartphones as mobile learning tools. Understanding the parameters that govern their customized and personalized integration is the key to successful assimilation of the smartphone as a mobile learning tool. This research reports the findings, which focused on analyzing the acceptance of smartphones as learning tools by comparing the various colleges of Kuwait University.
Adoption of Mobile Information Services: An Empirical Study
Mobile Information Systems, 2014
This study investigates the adoption of mobile information services at a Norwegian university. By expanding the Technology Acceptance Model (TAM), a new research model, known as the mobile services acceptance model (MSAM), is proposed. Based on the research model, seven research hypotheses are presented. The proposed research model and research hypotheses were empirically tested using data collected from a survey of users of a mobile service, extended Mobile Student Information Systems (eMSIS), at a Norwegian university. The findings indicate that the fitness of the research model is good. Support was also found for the seven research hypotheses. Among the factors, the personal initiatives and characteristics has the strongest influence on the intention to use eMSIS.
Education and Information Technologies, 2020
Mobile phone is increasingly widespread among University students, while different factors can affect students' behavior towards the use and acceptance of mobile technology. One of the methods to measure these factors is the Unified Theory of Acceptance and Use of Technology (UTAUT). The purpose of this study was to evaluate the Behavioral Intention of University students for acceptance and use of mobile phone in their studies. The study employed the extended UTAUT2 model (Venkatesh et al. 2012) which was adapted to the Greek context. The participants were 540 students of different Universities across Greece, who completed an online questionnaire. The most important predictors for students' Behavioral Intention to use mobile phones in their studies were Habit (the strongest one), Performance Expectancy and Hedonic Motivation. The most important predictor for actual mobile phone use was Behavioral Intention. Gender, age and experience did not have any moderating effect. The findings of this study enhance the evidence on mobile phone acceptance among University students, and have implications for students' training.