Mobile Technology Acceptance Research Articles

Mobile Social Cyberbullying: Why are Keyboard Warriors Raging?

ABSTRACT Cyberbullying on social media has become a serious matter and is the most rampant form of bullying among students nowadays. Accordingly, this study examines mobile social cyberbullying perpetration, a new form of cyberbullying perpetration that is conducted over mobile social media, through the theoretical lenses of Barlett and Gentile Cyberbullying Model (BGCM) and Mobile Technology Acceptance Model (MTAM). The Partial Least Squares Structural Equation Modeling analysis was performed on the 489 samples gathered from university students in order to obtain inferential statistics. Perceived anonymity and belief in the irrelevance of muscularity from the BGCM are positively related to mobile usefulness and mobile ease of use from the MTAM, while all of them are reported to have a positive association with the positive cyberbullying attitudes, which ultimately explain mobile social cyberbullying perpetration. From the results, it is ascertained that the well-founded integrated model has made a novel contribution toward the current literature of cyberbullying perpetration, particularly the rarely studied mobile social cyberbullying perpetration. Several suggestions on reducing the mobile social cyberbullying perpetration are then made to the practitioners, especially the government policymakers and mobile social media service providers.

Exploring factors influencing US millennial consumers’ use of tap-and-go payment technology

ABSTRACTAlthough mobile payment (MP) represents a possibility for traditional brick-and-mortar US retailers to enhance the quality of customer service, mobile payment adoption in the US has lagged, with research regarding this phenomenon in the US seemingly in its embryonic stage. The current study contributes to the literature on mobile payment adoption in the US by investigating the factors on US millennial consumers’ use of mobile payment technology, operationalized in the study as tap-and-go payment systems. The study mirrors a study of the acceptance of mobile shopping technology among German consumers, with some extension. The study incorporated mobile payment risk perception, system trust, and socio-cultural influence into an extended technology acceptance model (TAM) to explore this issue. Results from a survey conducted among 357 US Millennials indicate that perceived ease of use of MP (PEOUMP); perceived usefulness (PUMP); and risk perception all influence attitude toward mobile payment (AttMP). System trust, socio-cultural influence, and AttMP all influence MP use intention. The paper discussed the limitations of the study and future research directions.

Predicting Mobile Health Technology Acceptance by the Indian Rural Community

To investigate factors that influence mobile health technology and application acceptance for health service delivery in India. The paper identifies a technology acceptance model that can be limited to the Indian rural populations. The data is collected from 60 semi-structured interviews with rural populations, including doctors. Contents of these phases were transcribed, and quotes are presented constituting a proposed technology acceptance model. Findings indicate that people in the rural community have mobile phones and are mainly used to communicate by phone calls their relatives, friends, and family members. The study also revealed that a lack of knowledge, mobile literacy, trust, social influence, individual cognitive factors, and technical infrastructure were found to influence mobile phone use for health activities. Triangulating the findings from the literature and interview, the study has identified a set of interrelated acceptance factors that the authors proposed as mobile health technology acceptance model for the rural community of India.

Acceptance Model for Mobile Building Information Modeling (BIM)

Mobile Building Information Modeling (BIM) is noted for tools that enable the systematic interchange of information and contribute to enhancing collaborative performance through BIM. BIM programs, which are continuously available in the mobile environment, have been developed. Moreover, in some sites, mobile BIM is applied to generate benefits in projects. Various efforts are being made to use mobile BIM; however, its utilization is low. Also, mobile BIM has lacked an analysis of the factors that affect actual users’ acceptance of mobile BIM. Therefore, this study analyzes the factors that affect the acceptance of mobile BIM by construction practitioners and presents the association of factors as a model to activate mobile BIM use. To this end, this study analyzed a literature review for suggesting the factors that were expected to affect mobile BIM acceptance. The assessment items were decided based on the analysis result. Second, 111 copies were received by surveying the construction practitioners. Third, it identified factors that significantly affected the acceptance of mobile BIM and proposed models through factor analysis and structural equation models. Finally, based on the analysis, it presented the findings. This study expects to contribute to enhanced acceptance of mobile BIM technology by managing the significant factors properly. Also, it is expected that the result can be used to develop a variety of mobile BIM that is more easily acceptable to them. This study presented a model for accepting mobile BIM based on the survey results of Korean practitioners; therefore, it is necessary to explore ways to generalize the model in the future.

Acceptability of mobile health technology among cancer patients.

e18139 Background: Advances in wireless technology have led to the increasing use of mobile health platforms. This approach, tele-medicine, enables healthcare providers to communicate remotely with patients, thereby enhancing timeliness and quality of care, and patient engagement. However, few studies address barriers to its implementation, especially in medically under served populations. Methods: A cross-sectional survey of 151 cancer patients was conducted at an academic medical center in North Philadelphia, PA. A trained interviewer performed structured interviews regarding the barriers and facilitators of patients’ current and desired utilization of technology for healthcare services. Statistical significance was defined as p < 0.05 on a two-tailed distribution. Chi-Square test was used for categorical variables. Odds ratios from logistic regression analysis were used to identify the relationship between demographic factors and willingness to utilize a mobile application for health surveillance. Results: Of the 151 patients who completed the survey, 35.8% were male; ages ranged from 21-104 years. Forty-two percent were married, 49.0% were single, and 9% were divorced at the time of the survey. No significant associations existed between the willingness to utilize a mobile health application and gender ( p = 0.73) or marital status ( p = 0.97). After controlling for other demographic variables, patients older than 70 were significantly less likely to utilize a mobile application. Conversely, patients with a college-level education or more were significantly more likely to utilize a mobile application [OR = 2.78, p = 0.01]. Conclusions: Age and education level represent potential barriers to mobile health applications for cancer patients in socioeconomically diverse community. Health networks should consider these factors when launching patient engagement platforms. [Table: see text]

Perspectives on Acceptance and Use of a Mobile Health Intervention for the Prevention of Atherosclerotic Cardiovascular Disease in Singapore: Mixed-Methods Study.

BackgroundCardiovascular disease, including atherosclerotic cardiovascular disease (ASCVD), is a growing public health threat globally and many individuals remain undiagnosed, untreated, and uncontrolled. Simultaneously, mobile health (mHealth) interventions using short messaging service (SMS) have gained popularity globally. There is an opportunity for innovative approaches such as mHealth to encourage and enable adherence to medications for ASCVD and its risk factors.ObjectiveThis study aimed to understand mobile technology acceptance, use, and facilitating conditions among the study population ahead of the design of an mHealth intervention.MethodsUsing data from a mixed-methods study conducted in Singapore, we conducted a cross-sectional survey with 100 participants and in-depth, semistructured interviews with 20 patients. All participants were over the age of 40 years with ASCVD or its risk factors. Interviews were conducted in English and Mandarin and if needed translated to English. Nvivo 11 (QSR International) was used for analyses.ResultsParticipants reported their perspectives on technology use and preferences, including low or sporadic mobile phone use and usability concerns including small screen and text size, among others; the benefit of previous mHealth use in creating a favorable opinion of SMS for health information; trust in both the source of mHealth SMS, as well as in treatment; the formation of habits; and fear of sequelae or death for facilitating intention to use an mHealth intervention and adhere to medication. We also highlighted a case that underscored the importance of the period after diagnosis in habit forming as an opportunity for an mHealth intervention.ConclusionsWe explored both technology- and adherence-related factors that influence a patient’s intention to use an mHealth intervention for adherence to ASCVD medication in Singapore. We highlighted the importance of identifying the right opportunity to engage with patients and promote an mHealth intervention for adherence, such as immediately following diagnosis when patients are establishing medication-taking habits.

A Protocol to Assess Feasibility, Acceptability, and Usability of Mobile Technology for Symptom Management in Pediatric Transplant Patients.

Pediatric blood and marrow transplant (PBMT) patients experience significant symptom distress, and the use of mobile health (mHealth) technologies may enhance symptom management by providing patient-generated health data to foster personalized health strategies. The aim of this study was to present a study protocol to explore feasibility, acceptability, and usability of integrating mHealth technologies to collect and monitor symptom data for PBMT patients. An exploratory mixed-methods design is employed for 20 PBMT patients to monitor symptoms using real-time data from two mHealth devices: (a) a self-developed mHealth application and (b) a wearable tracking device. Patient-Reported Outcomes Measurement Information System surveys for fatigue, pain, and sleep disturbance are obtained monthly. Interviews are conducted to obtain further feasibility and usability data. The study began in October 2017; data collection should be completed in 2018. Feasibility and usability results to monitor and record symptom-related data daily via mobile devices will be reported. Patient-Reported Outcomes Measurement Information System surveys and interviews will further explore patients' symptoms and experiences with the mobile devices. This study will be among the first to explore the feasibility, acceptability, and usability of integrating multiple mHealth technologies to obtain patient-generated symptom data for the PBMT population. Results will enhance our understanding of how these data present, interact, and cluster together throughout the posttransplant period for these children and lead to symptom management strategies. Results will focus on a high-risk population that potentially stands to benefit from the use of mobile technologies.

Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and A mixed-method study

This article reports a two-phase study with (1) an extended framework on mobile learning technology acceptance, and (2) a mixed-method research investigating college students on the use and embracement of mobile learning technology acceptance in Saudi Arabia. The research extended the Unified Theory of Acceptance and Use of Technology (UTAUT) framework with constructs particularly concerning mobile learning technology. The sequential mixed-method study investigated college students’ mobile learning technology acceptance in Saudi Arabia, and also validated the extended framework with empirical data. A total of 1203 eligible college students, 591 male and 612 females, participated in the online survey, and 15 of them also participated in individual interviews afterward. A wide range of social media and social networking sites were used to recruit participants and collect data. The study found that variables like Learning Expectancy (LE), Effort Expectancy (EE), Social Influence (SI), and characteristics of mobile learning were significant predictors of students’ intentions to use mobile learning technologies, regardless of the moderating effects of gender, age, and eLearning experience. Social influence was the only construct that was found as moderated by gender, where men showed a stronger behavioral intention to use mobile learning technology than women. Facilitating Conditions (FC) and Self-Management of Mobile Learning (SMML) in this study were not significant in predicting students’ behavioral intention or their use behavior of mobile learning technology acceptance.

A library mobile device deployment to enhance the medical student experience in a rural longitudinal integrated clerkship.

ObjectiveInvestigators implemented the Rural Information Connection (RIC) project, a library-initiated deployment of iPad Mini 3s for third-year medical students who were enrolled in a seven-month rural longitudinal integrated clerkship (LIC) rotation. The research aims were to determine if devices preloaded with high-quality mobile health apps enhanced the experience and increased access to and awareness of mobile health information resources for the enrolled project participants.MethodsNine participants enrolled in this mixed methods research project. Pre- and post-survey and structured learning journals (SLJs) were used for data collection on device and app use. Descriptive statistics and thematic coding analysis included data from seven pre-surveys, nine post-surveys, and sixty-four SLJ prompts. The validated Technology Acceptance Model instrument was also incorporated to gauge the devices’ integration into the participants’ workflow.ResultsThe investigation indicated that the iPad Mini 3 and resources were utilized and integrated at varying levels in the participants’ workflow. Reported use of health information apps suggests a preference for broad-based information sources rather than specific or specialized information resources. Participants performed several tasks on the device, including seeking background information, educating patients, and managing rotation schedules. Participant reflections indicated positive experiences utilizing the device and health information resources, which enhanced their rural LIC rotations.ConclusionsThe research analysis demonstrates the information-seeking behavior of medical students immersed in a rural environment and indicates an acceptance of mobile technology into the workflow of participants in this project. Mobile device deployments offer great opportunities for librarians to design innovative programming in medical education.

How the Type of Job Position Influences Technology Acceptance: A Study of Employees’ Intention to Use Mobile Technologies for Knowledge Transfer

The acceptance of mobile technologies by employees is critical to their successful implementation in the workplace for competence development. Consequently, the type of job position (TJP) held was proposed as a new technology acceptance moderator and its significance verified. To examine this new moderator’s role in explaining employees’ intention to use technology, particularly mobile devices and applications for knowledge transfer, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was elaborated that included the TJP moderator. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey received from 810 employees from Poland, from 26 sectors, both public and private. The study results highlight that TJP moderates the significance and strength of selected factors influencing technology acceptance, such as: user autonomy, relative usability, social influence, performance expectancy, effort expectancy and facilitating conditions. Moreover social influence was confirmed to impact the behavioral intention to use mobile technologies for knowledge transfer for managers only. Inversely, user autonomy influence on perceived effort required to use mobile learning shown to exist for all TJP moderator values except for managers. Theoretical and practical implications of study are discussed.

Acceptance of mobile payments and UPI technology - Indian context

The trend shows that more people prefer using the non-cash modes when cash shortage was at its crest even for small transaction. The context paved way for the researchers to examine consumer. We deployed the technology acceptance model (TAM) as the base theoretical framework to investigate into the subject matter. The premise for adopting the technology acceptance model is to measure and analyse the behaviour and attitude of customers towards adopting of mobile payment and UPI technology for transactions. The results suggested that there is a significant positive influence of simplicity and interoperability on the mobile payment adoption, timely contacts and security proved to have a negative influence on the dependent variable. People are more concerned about the security aspects as they believe that their monetary details are not safe while doing online transactions.

Mobile gaming adoption in Malaysia: a partial least squares-structural equation modelling approach

The primary objective of this research is to identify the main aspects affecting the mobile gaming adoption in Malaysia. The theoretical base of this study was based on the mobile technology acceptance model (MTAM) together with other theories such as theory of reasoned action (TRA) and Theory of Planned Behaviour (TPB). The data collected for this study was from January 2018 to April 2018. The survey was done via the distribution of questionnaires in selected local shopping malls. A total of 304 usable responses were gathered for further analysis using the partial least square structural equation modelling (PLS-SEM) approach. The findings identified that mobile ease of use (MEOU), mobile usefulness (MU) and perceived challenge (PC) has a significant impact on individual's behavioural intention (BI). In addition to that, perceived challenge (PE) and referent network size (RNS) also has an impact on both MEOU and MU while MU shows an impact on MEOU. However, in this research, the moderating variable has no significant impact on mobile gaming adoption in Malaysia. Findings from this study are expected to contribute to the theoretical and practical world.

Mobile gaming adoption in Malaysia: a partial least squares-structural equation modelling approach

The primary objective of this research is to identify the main aspects affecting the mobile gaming adoption in Malaysia. The theoretical base of this study was based on the mobile technology acceptance model (MTAM) together with other theories such as theory of reasoned action (TRA) and Theory of Planned Behaviour (TPB). The data collected for this study was from January 2018 to April 2018. The survey was done via the distribution of questionnaires in selected local shopping malls. A total of 304 usable responses were gathered for further analysis using the partial least square structural equation modelling (PLS-SEM) approach. The findings identified that mobile ease of use (MEOU), mobile usefulness (MU) and perceived challenge (PC) has a significant impact on individual's behavioural intention (BI). In addition to that, perceived challenge (PE) and referent network size (RNS) also has an impact on both MEOU and MU while MU shows an impact on MEOU. However, in this research, the moderating variable has no significant impact on mobile gaming adoption in Malaysia. Findings from this study are expected to contribute to the theoretical and practical world.

Health-related internet use among opioid treatment patients

The Internet and smartphones have become commonplace and can be effective in overcoming traditional barriers to accessing health information about substance use disorders (SUD), and their prevention or treatment. Little is known, however, about specific factors that may influence the use of these technologies among socioeconomically disadvantaged populations with SUDs. This study characterized the use of digital technologies and the Internet among individuals receiving treatment for opioid use disorder, focusing on identifying predictors of Internet use for health-related purposes. Participants came from an urban opioid replacement therapy program and completed a face-to-face survey on Internet and technology use. We examined the association between online health information seeking and technology acceptance variables, including perceived usefulness, effort expectancy, social influence, and facilitating conditions (e.g., availability of devices/services and technical support). Participants (N = 178, ages 18–64) endorsed high rates of current smartphone ownership (94%) and everyday Internet use (67%). 88% of participants reported searching online for information about health or medical topics in the past 3 months. Predictors of Internet use for health-related purposes were higher technology acceptance for mobile Internet use, younger age, current employment, and less bodily pain. Our results demonstrate high acceptance and use of mobile technology and the Internet among this sample of socioeconomically disadvantaged individuals with SUDs. However, these findings also highlight the importance of identifying barriers that disadvantaged groups face in using mobile technologies when designing technology-based interventions for this population.

Mobile learning usage and acceptance: perceptions of secondary school students

The use of mobile devices among secondary school students is increasingly more common; however, mobile learning and mobile technology acceptance research in secondary education is still limited. This study investigated secondary school students’ perceptions regarding mobile device usage and mobile learning acceptance. A questionnaire was administered to 530 students aged 12–18 years old, in Greece. The study revealed that mobile phone was the predominant device which is used daily by almost all students. 83% of the sample goes online via a mobile device several times per day. 65% of the sample described themselves as advanced mobile device users, and 11% perceived themselves as experts. Students expressed positive perceptions indicating mobile learning acceptance. The higher the grade (or age group), the higher the frequency of going online via a mobile device, and the more the years of using a mobile device, the more positive were students’ perceptions. Implications for educational policy makers, teachers, and students are discussed.

The interactive mobile social media advertising: An imminent approach to advertise tourism products and services?

Marketing tourism products traditionally were confined to conventional advertising tools. With the enhancement of mobile technologies and the emergence of social networking sites, a new platform of advertising has emerged. Mobile social media advertising refers to the use of social networking sites on mobile devices to advertise tourism products and services. However, many tourism organizations are skeptical, particularly if tourists are ready to accept this new form of advertising. Therefore, this study proposes an integrated framework that consists of Mobile Technology Acceptance Model, personal factors (i.e., mobile self-efficacy and technology self-efficacy), and Interactivity Theory to understand consumers’ intention to adopt mobile social media advertising in receiving tourism-related advertisements. 459 valid data were analyzed by the Partial Least Squares Structural Equation Modelling technique. Surprisingly, most structural paths are consistent with past literatures except for the relationship between personal factors and intention. This study has valuable contributions to academicians, practitioners, and society.

What helps or hinders clinicians in their decision-making processes when using or prescribing mHealth apps in practice? An exploratory study

Recent advancement and use of technology in healthcare has led to a rapid growth and availability of mobile health applications (mHealth apps) in clinical practice. This proliferation has led to growing concern over the unregulated nature of this new industry. The expectation that clinicians abide by the rule “do no harm” has also raised concerns regarding the maintenance of client safety and questions as to how clinicians navigate this tension and how mHealth apps are being used in clinical practice. This research investigated what helps and hinders the use and prescription of mHealth apps in allied health clinical practice. Using a qualitative descriptive methodology, an exploratory study was conducted utilising a mixed methods approach. The twelve participants consisted of 11 physiotherapists and an occupational therapist. Thematic analysis was used to analyse data. Two themes were constructed from the data: (1) Deflection of professional responsibility and (2) Dependence on the physiotherapy toolbox and evidence based practice. This research established basic understanding of the acceptability and use of mobile technology in allied health practice. Results demonstrated a poor use of mHealth apps and a preference for a certain kind of evidence-based technique in clinical practice. Clinicians also voiced a lack of knowledge and confidence in their own skills or judgements in relation to mHealth apps, with many admitting to relying on recommendations by colleagues, professional bodies and clients.

Exploring farmers’ intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture

Understanding farmers’ intentions to use new technologies for agricultural data collection is essential in developing digital citizen science in agriculture. While more advanced technologies are available, to reach smallholder farmers simple technologies such as mobile SMS are needed. The main objective of this study was to explore the acceptance of mobile SMS technology by smallholder farmers to provide farm related information. A second objective was to assess the role of farmer’s characteristics (i.e., age and experience) in predicting farmers’ intentions to adopt mobile SMS. This study extended the unified theory of acceptance and use of technology (UTAUT2) model with constructs from trust, personal innovativeness in information technology and mastery-approach goals. The sample (N = 220) consisted of a group of smallholder farmers from three Ethiopian regions involved in a mobile SMS experiment and a control group. Structural equation modelling showed that intentions to adopt mobile SMS technology for agricultural data provision were predicted by the perceived usefulness of the technology (performance expectancy), the effort needed to use the technology (effort expectancy), the cost of using the technology (price value) and the trustworthiness of the organising body (trust; e.g., organisations behind the citizen science initiative). Multi-group analysis using farmer’s age and experience as moderator variables further revealed that performance expectancy was important for younger farmers, whereas price value was important for farmers who did not participate in a mobile SMS experiment. This study generates useful information and implications for citizen science practitioners, policy makers and mobile application developers by identifying the driving factors for farmers to adopt mobile SMS for agricultural data collection.

Use and Acceptance of Mobile Technologies in Health Care

Use and Acceptance of Mobile Technologies in Health Care

Evaluasi Penerimaan Teknologi Mobile Internet pada Dosen di Politeknik Negeri Sriwijaya

The use of mobile internet technology in the field of education has been widely used. In college the use of Mobile Internet Technology has a significant influence on the performance of lecturers both in the process of learning and teaching. Research on Sriwijaya State Polytechnic Lecturer aims to evaluate and analyze the factors of acceptance of mobile internet technology to lecturer performance. The survey was conducted on 78 Sriwijaya State Polytechnic lecturers in all departments. The study used the model of acceptance of Mobile Internet Technology with Technology Acceptance Models (TAM) method. Factors analyzed were perceptions of ease of use, perception of utility, social factors, work relevance, perceptions of pleasure towards intentions in the use and use of actual systems. The results showed that the perception factor of usability, job relevance and pleasure perception affect the lecturer's intention to use mobile internet technology. The results also show that the perception of convenience and social factors have no effect on the intention to use mobile internet technology, it is because lecturers are difficult to become proficient in using today's highly sophisticated and ever-growing technology. Keywords— Technology Mobile Internet, TAM, Lecture Performance