11 research outputs found

    Exploring technology acceptance for mobile services

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    Purpose: Mobile phone industries are no longer relying on voice services. It is predicted that data services are expected to be a remediation for the declining of average revenue per user (ARPU) in telecommunication market. The purpose of this paper is to find the factors that influence the acceptance/adoption of mobile services. Design/methodology/approach: This paper utilizes quantitative method. Questionnaire were distributed to collect the data. The questionnaires are designed specifically to address the factors related to mobile services. Later on, this paper uses Analytical Hierarchical Process (AHP) and Cluster analysis to identify the factors that influence the adoption of mobile services. Findings: The results show that ease of use and usefulness are top two factors that influence the adoption of mobile services. Research limitations/implications: The sample for the study is relatively small. For future research, the sample should be increased. The data collection should also look into different devices and operating system of mobile phones to find if there is any significant difference in adopting mobile services. Practical implications: This framework is expected to be able to help the mobile services provider to design better mobile services that can attract users to adopt them

    Exploring technology acceptance for mobile services

    Get PDF
    Purpose: Mobile phone industries are no longer relying on voice services. It is predicted that data services are expected to be a remediation for the declining of average revenue per user (ARPU) in telecommunication market. The purpose of this paper is to find the factors that influence the acceptance/adoption of mobile services. Design/methodology/approach: This paper utilizes quantitative method. Questionnaire were distributed to collect the data. The questionnaires are designed specifically to address the factors related to mobile services. Later on, this paper uses Analytical Hierarchical Process (AHP) and Cluster analysis to identify the factors that influence the adoption of mobile services. Findings: The results show that ease of use and usefulness are top two factors that influence the adoption of mobile services. Research limitations/implications: The sample for the study is relatively small. For future research, the sample should be increased. The data collection should also look into different devices and operating system of mobile phones to find if there is any significant difference in adopting mobile services. Practical implications: This framework is expected to be able to help the mobile services provider to design better mobile services that can attract users to adopt them. Originality/value: This is the follow on research on the previous study that employed different method. This study is to confirm and support the findings from previous study.Peer Reviewe

    Mobile Information Systems: An Empirical Analysis of the Determinants of Mobile Commerce Acceptance in Jordan

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    Although mobile commerce have been used and widely researched in developed nations, there is a low usage in the Arab world. Also, there is a limited empirical research on mobile commerce in Jordan despite the high penetration of mobile phone subscribers in 2009. Among the aims of this quantitative research is to empirically investigate the determinants of mobile commerce adoption in a collectivist culture such as Jordan where social norms are valued and individual actions are influenced greatly by important reference groups. The Technology Acceptance Model (TAM) is extended to include four factors (facilitating conditions, cost, personal innovativeness in IT (PIIT) and subjective norms). Furthermore, in order to understand subjective norms in collectivist culture; subjective norms were decomposed into different levels (personal and societal injunctive and descriptive norms). The research framework consists of twelve latent variables (seven exogenous and five endogenous). Using self-administered survey, 40 items with 7-point Likert scale is used to collect data. Out of the 500 samples, 448 responses (89.6 % response rate) were collected; eventually 401 responses were usable. Structural Equation Modeling is applied to analyze the data. The findings of this study revealed that facilitating conditions, cost, PIIT, attitude and perceived usefulness are significant determinants of behavioral intention in Jordan. In addition, subjective norms, facilitating conditions, cost and perceived ease of use are significant antecedents of attitude which in turn influencing behavioral intention. Moreover, the empirical evidence indicated that personal injunctive norm, personal descriptive norm and societal injunctive norm are indeed antecedents of subjective norms. It can be concluded that extended TAM successfully enriched the model and increased the exploratory power to 53% in explaining behavioral intention variance

    An Analysis of ICMB 2006

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    This paper analyzes the 44 papers included in the proceedings of the 5th ICMB conference in Copenhagen 2006. The purpose of the paper was to investigate to what extent the conference fulfilled its objectives which was to compare previous expectations with present realities along the following four areas: (1) business models, (2) the influence of m-business on private and work life, (3) the impact of regulation, and (4) the re-composition of the value network. In the analysis we apply the well-known framework by Lyytinen and Yoo for studying nomadic computing. In addition to this we also classify the papers in relation to type of artifact investigated, application area, and research methodology. The analysis show that the main focus lay on the use and adoption of mobile services – over 60% of the papers address. Few papers address the impact of service on any level of analysis. Business model is a recurring topic in 17 of the papers. There is lack in theorizing of the artifact, e.g. many just study mobile devices, but do not describe what type they study

    Designing a Personalization Intervention To Reduce Churn in Exercise Mobile Apps: A Research Proposal

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    Sports and fitness mHealth app development has rapidly increased since the COVID-19 pandemic due to changes in living situations that increased the demand for exercising remotely. App developers struggle to understand the various strategies in reducing the amount of users that churn as time progresses. This research proposal will primarily focus on the effect that personalization has on churn, seeing the increased development of mobile health apps, strong desire for curated experiences, and the recent relevance of AI. To fully understand the relationship between personalization and churn, moderator effects of perceived ease of use, perceived usefulness, and user engagement will be investigated. A usability study with physically active college students in the US is proposed to collect data for analysis, with the hopes of providing app developers with a greater understanding of implementing personalization

    Empirical Analysis on Factors Impacting Mobile Learning Acceptance in Higher Engineering Education

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    Owing to technological advancements and decreasing costs of mobile devices and services, there is a significant change in learning environment that demands for mobility. Such change has enabled a new way of learning, that is, mobile learning. The emergence and prevalence of mobile learning helps flexibility in delivering education, meeting learners\u27 needs, and supporting learning activities without confining to physical locations or time. Mobile learning indicates a new opportunity for education system research and development. The acceptance of mobile learning by students is critical to the successful implementation of mobile learning systems. Therefore, it is important to understand the factors that affect students\u27 perceptions of mobile learning. Encouraged by this new trend in learning, this research employs both quantitative and qualitative research methodologies to explore the factors that affect students\u27 intention to use mobile devices for learning. Based on the United Theory of Acceptance and Use of Technology (UTAUT), this research formulates the factors, including performance expectancy, effort expectancy, social influence, facilitating conditions, self-efficacy, ubiquity, self-management of learning, attainment value, service quality, and perceived enjoyment, and testable hypotheses that are critical to answer research questions and fulfill research objectives. In order to quantify these factors and test research hypotheses, a data collection instrument adapted from previous studies is developed and administered. The results indicate that performance expectancy, perceived enjoyment, ubiquity, service quality, attainment value, and self-management of learning are significant predictors of behavioral intention to use mobile learning; facilitating conditions, social influence, effort-expectancy and self-efficacy are found to be insignificant. Additionally, this research examines the differences on intention to use mobile learning across student groups of age, gender, college level, years of using mobile devices, current and planned of mobile device ownership, and prior mobile learning experience via comparison analysis. This research provides university administrators and educators the understandings on the factors that influence student acceptance of mobile learning and the capability to build strategies and policies that incorporate these factors into planning and design phases of mobile learning system implementations

    Study to investigate factors influencing adoption of mobile devices in the healthcare environment

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    In this research project, modified graphene was employed as filler to enhance the electrical conductivity and to reinforce mechanical properties of natural rubber (NR). The defect sites in the graphene sheets were investigated for further modification. The latex mixing and mechanical mixing methods to load functional graphene sheets into the NR matrix, improved the mechanical and electrical properties of the composite material. Graphene was prepared by a chemical oxidation-reduction approach to fill the NR matrix. The oxidation approaches were employed in progress, which will induce various defects in the final product. It is known that these defects decrease the properties of the graphene and graphene/natural rubber composites, which are prepared by traditional method as well. However, these defects could cause improvements in performance of the graphene composites with re-designed methods, the main focus of this thesis. Before loading into NR matrix, the defect information of graphene oxide (GO) prepared using Hummers method was examined through positron testing, which is known to be highly effective in the study of the defects in graphite and its derivatives. The different types of defects were detectable, which revealed that the vacancy clusters and vacancy-oxygen group complexes were present on the GO sheets. No large open-volume hole was detected in GO. The reduction of GO by potassium carbonate (K2CO3) as a green noble preparation approach was developed, and the oxygen groups dispersion status in the GO sheet was further investigated. K2CO3 was used as a reusable reduction agent to convert GO to reduced graphene oxide (RGO) in two steps, based on the conversion of the different types of oxygen groups detected. Carbon dioxide was the only by-product of this process, which was absorbed by K2CO3. In addition, the study further elucidates the structure of GO sheets. The oxygen groups on the GO sheets not only aligned but also randomly dispersed in different areas. Antistatic NR nanocomposites with partly interconnected graphene architectures offer significant enhancement in various properties. RGO/NR composites were prepared using latex mixing and in-situ reduction process. The oxygen groups on the GO played a key role in attaching GO sheets to the surface of NR particles. Segregated current transfer routes were partly constructed in an NR matrix with an electrical conductivity of 0.1 S/m and reinforcing the tensile strength and elongation-at-break as well. Silver nanoparticles (AgNPs) were used to decorate GO, which further increased the electrical conductivity of NR nanocomposites. Electrically conductive AgNPs/RGO filled NR with well-organized three-dimensional (3D) microstructures were prepared through electrostatic self-assembly integrated latex mixing. The oxygen groups in GO acted as an anchor for AgNPs growth, resulting in the electrical conductivity of 31000 S/m for the AgNPs/RGO. A honeycomb-like AgNPs/RGO 3D network was constructed in the NR matrix after freeze-drying and hot compression moulding. The AgNPs/RGO/NR nanocomposites show a percolation threshold of 0.63 vol.% and electrical conductivity of 196 S/m at AgNPs/RGO content of 4.03 vol.%. The oxygen groups can not only be used to improve the electrical conductivity of NR but also used to reinforce mechanical properties. The effect of functionalized GO on the mechanical properties of NR was investigated through two strategies. In the first strategy, one layer of silica particles were attached to the GO surface through hydrogen bonds. The strength were reinforced because of well-dispersed SiO2/GO in the NR matrix. GO acted as a surfactant dispersed by silica into the NR matrix to reinforce the mechanical properties using latex mixing. Oxygen groups on the graphene sheets banded with silica to achieve the target. In the second strategy, the strength reinforcement of NR nanocomposites was achieved by construction of an interpenetrating network between the NR molecules and porous graphene. In this project, porous graphene loaded NR nanocomposites were prepared through an ultrasonically assisted latex mixing and in-situ reduction process. The oxygen groups showed chemo-selectivity etched by potassium permanganate (KMnO4), forming pores possessing suitable dimensions in graphene sheets. Porous graphene/NR nanocomposites show strong interactions between the NR molecules and porous graphene than RGO/NR, which contributed to an increase in tensile strength compared to the RGO/NR nanocomposites. Furthermore, the scorch time compared to RGO/NR was decreased, and density of cross-linking was increased, which demonstrate the pores on the graphene sheets formed a mass transfer route, indicating an interpenetrating network was constructed

    An Investigation of the Factors that Influence User Acceptance of Mobile information Systems in the Workplace

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    Mobile information systems (IS) such as field force automation and mobile office applications are rapidly being adopted by a large number of organizations. Despite its popularity and widespread adoption, the body of knowledge regarding user acceptance of mobile information systems in the workplace still is largely anecdotal. The purpose of this study was to develop and rigorously test a model of the factors that influence user acceptance of mobile information systems in the workplace. A thorough review of relevant literature in electronic business, mobile business, user acceptance of technology and user acceptance of mobile technology provided the basis for the development of the conceptual model that guided this research. The model hypothesized that temporal, spatial and structural characteristics of the portfolio of tasks performed by users of mobile information systems in the workplace (namely, temporal requirements of job, spatial dispersion of job, spatial dependence of job, job structuredness and job interdependence) would influence their perceived individual need for mobile information systems (PINMIS). It also suggested that the perceived individual need for mobile IS would influence the performance expectancy as well as intention to use mobile IS. In addition, the model posed that system portability would influence effort expectancy and intention to use mobile IS. In order to develop a research instrument, construct domains were specified and an initial set of items was generated. This was followed by an extensive purification process which consisted of card sorting and expert review rounds, survey pre-tests as well as a pilot study with 234 respondents from a large telecommunications company in New Zealand. The results obtained in this stage helped to refine the measurements and provided the foundations for the main study. The main study was based on a survey with 309 respondents from a wide range of organizations in New Zealand. Using Partial-Least-Squares (PLS) the data collected in the main study was used to test the model. The model was successfully validated and statistically significant evidence was provided that temporal requirements of job, spatial dispersion of job, spatial freedom of job and job interdependence positively influenced PINMIS. On the other hand, job structuredness did not significantly influence PINMIS. It was also found that PINMIS significantly influences performance expectancy and that system portability has a positive effect over effort expectancy as well as intentions to use mobile IS

    User interactive service provisioning framework for enhancing citizens’ adoption of mobile enabled government services in Tanzania.

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    Doctoral Degree. University of KwaZulu-Natal, Durban.Mobile enabled government (m-government) services are trending due to the envisaged efficiencies in time, access, and freedom of movement that mobile and wireless technology accords public administration and service provision. These benefits are only attainable if citizens adopt m-government services. However, adoption of m-government services has persistently continued to be a challenge worldwide. Consequently, this study investigates the challenges associated with citizens’ adoption of m-government services and recommends a service-provisioning framework to mitigate the identified challenges. The framework is informed by a holistic examination of both provision and consumption perspectives towards m-government service adoption. The provision perspective focuses on unveiling the provisioning practices, while the consumption perspective focuses on identifying factors that influence citizens’ adoption decisions for m-government services. The study applied a mixed-methods approach in a two-phased research process, that is, the adoption challenges identification and the framework evaluation. It employed a questionnaire and interview approach to collect data in the adoption challenges identification phase, and a mix of open- and closed-ended questions for the framework evaluation phase. A total of 396 citizens constituted the sample for the quantitative part, and 16 employees from four participating government organisations constituted the sample for the qualitative part of the challenge identification phase. In the framework evaluation phase, a sample of 12 experts was consulted to assess the viability of the developed service-provisioning framework to mitigate the citizens’ adoption challenges for m-government services. The study used the structured equation modeling (SEM) technique for quantitative data analysis and a thematic analysis technique for the qualitative data. Findings indicate that while emotional and cognitive factors significantly affect citizens’ adoption decisions, they are negligibly addressed in the current provisioning practices for m-government services. Hence, the developed service-provisioning framework advocates for an interactive citizen-centric provisioning practice to facilitate mitigating the adoption challenge. Findings for the framework evaluation divulge that the framework is suitable in addressing citizens’ challenges in adopting m-government services. Thus, the constructed framework will assist government organisations in Tanzania to develop and provide highly adoptable m-government services. This study recommends ongoing IT skills building trainings for both citizens and public officers to facilitate awareness and acceptance of m-government services
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