Mobile Technology Acceptance Research Articles

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.

Acceptance and use of mobile health technology in post-abortion care

BackgroundAbortion and its complications have always been associated with challenges such as the lack of awareness, high cost of receiving in-person services, lack of access to the skilled healthcare workers, distance from healthcare centers in remote areas, and cultural sensitivities. Therefore, the use of mobile health technology in post-abortion care has been suggested. This study aimed to investigate factors influencing the acceptance and use of mhealth technology in post-abortion care.MethodA mixed-methods study was completed in 2023. Initially, a literature review was conducted. Then, a five-point Likert-scale questionnaire was designed based on the results of the literature review. The research participants were gynecologists (n = 24), midwives (n = 38), and women who had experience of abortion (n = 183). Data were analyzed using descriptive and inferential statistics.ResultsThe findings revealed that the participants had different opinions about the importance of motivating and inhibiting factors which included individual, technical, economic, organizational, and ethico-legal aspects. It seems that the individual, organizational, economic, and ethico-legal motivating factors as well as the ethico-legal inhibiting factors were more important than other factors and had higher mean values. In addition, there was a statistically significant difference between the mean values of gynecologists and patients regarding the individual motivating (P = 0.014) and technical inhibiting factors (P = 0.016). The gynecologists’ opinions regarding the technical motivating factors were also significantly different from midwives (P = 0.044) and patients (P = 0.010).ConclusionMultiple factors may influence the acceptance and use of mhealth technology in post-abortion care. Therefore, mhealth service developers must consider these factors to improve the quality of services and increase technology adoption. This will lead to saving costs, improving health, reducing abortion complications, and ultimately improving quality of life for women. However, further research in patient engagement and health interventions tailored to diverse cultural contexts are recommended.

Influence of Tiktok video content on youth people's online shopping intention for fashion items

This study delves into the influence of TikTok video content factors - Entertainment, Information, Usefulness, and Interaction - on the online purchase intention of fashion items among young consumers. Drawing upon the Integrated Theory of Planned Behavior, ABC model (Attitude, Behavior, Context), and Mobile Technology Acceptance Model framework, the research examines how these factors shape consumer behavior on popular social media platforms. A quantitative approach was employed, utilizing survey data collected from 620 young respondents in Vietnam. The findings reveal that Entertainment, Information, Usefulness, and Interaction significantly impact online purchase intention, with Usefulness and Interaction emerging as the primary drivers. However, the study also acknowledges several limitations, including sample size constraints and potential biases inherent in self-reported data. Future research directions include longitudinal studies to explore the dynamic nature of consumer behavior on TikTok and comparative studies across different demographic groups to enhance generalizability. This study contributes valuable insights for marketers and advertisers seeking to leverage TikTok as a platform for engaging young consumers and driving online purchase behavior in the fashion industry.

Using mobile technology acceptance model to explore the satisfaction and continuous use of live streaming for training

ABSTRACT During the digital era and especially the COVID-19 pandemic, live streaming emerged as a vital component of mobile learning and training. This study sought to determine whether the social presence and interactivity experienced by learners using live digital platforms could enhance their learning outcomes, satisfaction, and propensity for ongoing use.Leveraging the mobile technology acceptance model as its research framework, this study integrated interactivity and social presence as external variables. The aim was to uncover how these variables impact user satisfaction and continued use, while also exploring the mediating role of learning effectiveness in driving continued use. A live streaming system designed for mobile training was tested among 67 employees in a pilot study. The results demonstrated that:(1)Ease of use positively impacted perceptions of mobile usefulness.(2)Mobile usefulness, interactivity, and social presence had a positive effect on satisfaction, yet ease of use didn't significantly influence satisfaction.(3)Interactivity enhanced social presence.(4)Satisfaction was a key driver of continued use, with learning effectiveness acting as a partial mediator between them. The findings from this research can guide businesses looking to utilize live streaming for training purposes and serve as a reference for academic research in similar areas.

Generating customer wealth by mobile-based agricultural extension services: BOP farmers in the emerging markets

Purpose This research was motivated by the recognition that the use of mobile-based agricultural extension services (AES) applications has become increasingly popular among the bottom of the pyramid segment in recent years. However, users’ adoption is determined not only by their perception of the technology but also by its perceived wealth. In other words, even though a technology may be perceived as advanced, if it does not fit users’ wealth perception benefits, they may not adopt it. Using an extended unified theory of acceptance and use of technology (UTAUT) perspective, this study aims to explore potential predictors of behavioral intention toward AES such as effort expectancy, performance expectancy, customer wealth (CW), social influence and perceived characteristics of innovation. Design/methodology/approach Potential causal connections between key UTAUT factors and users’ intentions to use the services are hypothesized. An integrated theoretical model was developed and tested against the empirical data collected from 336 AES users. A measurement model and structural equation model were tested using AMOS 22.0 and confirmed all 14 hypothesized relationships. Findings The results were consistent with the recent literature on mobile technology acceptance, confirming an unmoderated relationship between CW and the adoption of mobile-based AES. This research proposes a mobile AES user adoption model by integrating CW with the unified theory of acceptance and usage of technology (UTAUT). Originality/value This study establishes CW as an outcome of various relationships.

Understanding mobile augmented reality apps in Pakistan: an extended mobile technology acceptance model

PurposeAugmented reality (AR) adoption has boomed globally in recent years. The prospective of AR to seamlessly integrate digital information into the actual environment has proven to be a challenge for academics and industry, as they endeavor to understand and predict the influence on users' perceptions, adoption intentions and usage. This study investigates the factors affecting consumers’ behavioral intention to adopt AR technology in shopping malls by offering the mobile technology acceptance model (MTAM).Design/methodology/approachThis conceptual framework is based on mobile self-efficacy, rewards, social influence and enjoyment of existing MTAM constructs. A self-administered questionnaire, constructed by measuring questions modified from previous research, elicited 311 usable responses from mobile respondents who had recently used AR technology in shopping malls. This analysis was performed using SmartPLS3.0.FindingsGrounded on the findings of the study, it was found that, aside from factors such as mobile usefulness, ease of use and social influence, the remaining independent variables had the most significant impact on adopting AR technologies. Considering the limitations of this study, the paper concludes by discussing the significant implications and insinuating avenues for future research.Originality/valueTo better investigate mobile AR app adoption in Pakistan’s shopping malls, the researchers modified the newly proposed MTAM model by incorporating mobile self-efficacy theory, social influence, rewards and perceived enjoyment. However, the extended model has not been extensively studied in previous research. This study is the first to examine the variables that affect an individual’s intention to accept mobile AR apps by using a novel extended MTAM.

Behavioral Involvement, Technology Acceptance, and Failure in Mobile Learning: A Systematic Review

As we move further into the digital age, machine learning algorithms have become increasingly popular in E-learning for their ability to predict learner failure and assess behavioral engagement, particularly in mobile learning environments. This paper reports on the systematic review conducted by the most relevant research in the literature that uses machine learning algorithms to predict failure, verify acceptance of mobile technology, and analyze behavioral engagement in mobile learning platforms. The search was performed using research papers extracted from four commonly used databases and published between 2010 and 2023; the last database access was on 15/05/2023. Guided by the PRISMA checklist, the review followed a structured approach to select, analyze, and report relevant studies. Studies were selected based on strict inclusion and exclusion criteria, focusing on peer-reviewed articles that empirically test the application of machine learning in mobile learning contexts. Of the initial 332 screened articles, 20 were eligible for inclusion. The results highlight the transformative role that machine learning is playing in revolutionizing online mobile learning experiences.

Navigating Trust in Mobile Payments: Using Necessary Condition Analysis to Identify Must-Have Factors for User Acceptance

Drawing upon the mobile technology acceptance model (MTAM), this study addresses this conspicuous gap by identifying the necessary conditions for fostering trust and usage intention of mobile payment (m-payment) gateways. Data collected from 218 users of mobile-payment from Malaysia were analyzed using partial least squares structural equation modeling (PLS-SEM) to identify the should-have factors for perceived trust and intention to use mobile payment gateways. In addition, necessary condition analyses (NCA) are utilized to identify the must-have factors for perceived trust and intention to use mobile payment gateways. Results revealed that other factors of mobile usefulness, perceived security, and user mobility explained perceived trust except for mobile ease of use. In turn, mobile usefulness, user mobility, perceived security, mobile ease of use, and perceived trust established a positive relationship with intention to use. The NCA complemented these results showing that mobile usefulness, mobile ease of use, and user mobility qualified as necessary and sufficient conditions for perceived trust with medium-sized effect and mobile usefulness is qualified as a medium-sized necessary and sufficient condition for intention to use. This is the first few article that extends earlier literature by offering arguments on the different aspects of MTAM. By using NCA, we provide theoretical and methodological evidences, we identify which are the essential ones that enhances trust and usage.

Assessing the acceptance of mobile phone technology in Tanzanian SMEs

Purpose This study investigates the acceptance of mobile phone technology in Tanzanian small- and medium-sized enterprises (SMEs) using the Technology Acceptance Model (TAM) with a special focus on service quality.Design/methodology/approach The conceptual framework was designed by extending the TAM with an additional construct, service quality, before testing a model in a survey of 155 respondents and analysing using Smart PLS 4.Findings Service quality was found to be among the significant factors in the acceptance of mobile phone technology among SME employees.Research limitations/implications This implies that the higher the quality of service offered, the more employees accept and use mobile phone technology in their duties and improve the productivity of SMEs.Practical implications The aspects of quality of mobile phone technology usage such as call dropouts, network quality, speed, etc., must be improved significantly.Social implications The Mobile Network Operators and Regulators must understand that employees are offered the most accurate and reliable mobile phone services for its usefulness to be realised.Originality/value The originality is a modified version of a TAM that accommodates service quality that has been tested in the Tanzanian context.

A Mobile App for Comprehensive Symptom Management in People With Parkinson's Disease: A Pilot Usability Study.

There is an increasing need for highly accessible health management platforms for comprehensive symptoms of Parkinson disease. Mobile apps encompassing nonmotor symptoms have been rarely developed since these symptoms are often subjective and difficult to reflect what individuals actually experience. The study developed an app for comprehensive symptom management and evaluated its usability and feasibility. A single-group repeated measurement experimental design was used. Twenty-two participants used the app for 6 weeks. Monitoring of nonmotor symptoms, games to address motor symptoms, and medication management were incorporated in the app. Quantitative outcomes were self-assessed through an online questionnaire, and one-on-one telephone interviews were conducted to understand the user's point of view. The successful experience of self-monitoring had improved participants' self-efficacy ( Z = -3.634, P < .001) and medication adherence ( Z = -3.371, P = .001). Facilitators included a simple-to-use interface, entertaining content, and medication helps. Barriers included simple forgetfulness and digital literacy, including unfamiliarity with mobile phone manipulation itself. The study suggested insight into the app use related to acceptability of mobile technology. The preliminary effects on self-efficacy and medication adherence will guide future nursing interventions using mobile health. Our approach will contribute to improving the continuum of care for Parkinson disease by promoting self-monitoring of symptoms.

Exploring the Impact of Attitudes, Behavior, and Perceptions on Millennials' Adoption of QRIS Payment Systems

In this study, we investigate the influence of attitudes, behavior, and perceptions on the adoption of Quick Response Code Indonesian Standard (QRIS) payment systems among millennials, utilizing the Mobile Technology Acceptance Model (MTAM) approach. The sample consists of 100 respondents, and we apply both Structural Equation Modeling (SEM) and MTAM to study about the relationships among the variables. The key findings are as follows: Positive attitudes towards QRIS significantly correlate with high behavioral intention, underscoring the pivotal role of attitudes in fostering adoption. Payment behavior has a significant effect on the perceived ease of use, highlighting the conduct of behavior in shaping perceptions of usability. Moreover, behavior also significantly influences the perceived usefulness, affirming the linkage between usage behavior and perceptions of benefit. Perceived ease of use positively correlates with attitudes, indicating that ease of use perceptions influence attitudes. Nevertheless, there is no significant support for the relationships between perceived security and attitudes, as well as between perceived usefulness and attitudes. These findings hold crucial implications for payment system providers and marketers in devising marketing strategies tailored to the preferences and expectations of millennials, while considering the aspects unveiled by the mobile technology acceptance model. Understanding the influences of attitudes, behavior, and perceptions on the adoption of modern payment systems becomes essential to meet user needs and integrate this technology into daily life effectively.

Investors’ intention to use mobile investment: an extended mobile technology acceptance model with personal factors and perceived reputation

Investors’ intention to use mobile investment: an extended mobile technology acceptance model with personal factors and perceived reputation

Factors influencing Chinese university EFL Students’ Adoption of Mobile Technology-Integrated Vocabulary Learning Towards SCL: An Empirical Research

The purpose of this study is to investigate the factors influencing Chinese university EFL students' adoption of mobile technology-integrated vocabulary learning towards student-centered learning (SCL). The theoretical framework extends the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to include the additional constructs of privacy, trust, personal innovativeness, and information quality to examine their impact on behavioral intentions ues behavior. This study uses a questionnaire survey method to conduct quantitative research. The sample was 300 EFL students from two universities in Fujian Province, China. Data were analyzed using SPSS (22.0) and AMOS (24.0) software. Structural equation modeling and regression path analysis were used to verify relationships between variables and test hypotheses. The results show that performance expectancy, effort expectancy, social influence, convenience conditions, hedonic motivation, habits, personal innovativeness and information quality have significant positive effects on EFL students' behavioral intention to adopt mobile technology-integrated vocabulary learning towards student-centered learning. Price value and privacy concerns have had significant negative impacts. Hedonic motivation, price value, privacy concerns, and information quality have become important predictors of behavioral intentions among Chinese university EFL students. This study enriches research on the acceptance and use of mobile learning technologies, providing valuable insights and effective suggestions for EFL teachers, vocabulary course designers and mobile technology developers.

Thank you, government! Your support facilitated my intention to use mobile payment in the new normal era

Purpose This study aims to investigate the key determinants predicting users’ behavioural intention (BI) in adopting mobile payment (m-payment) in the new normal era. Design/methodology/approach The mobile technology acceptance model (MTAM) was extended through attitudes, perceived trust, perceived risk and personal innovativeness (PI) with government support (GS) functioning as a moderator. A total of 245 valid responses were gathered from Malaysian m-payment users with purposive sampling and subsequently evaluated through partial least square-structural equation modelling. Findings Mobile usefulness and PI significantly predicted user BI to use m-payment. Based on the moderation analysis, GS strengthened attitude-based impacts on BI towards m-payment adoption. Practical implications The empirical outcomes provide stakeholders with pivotal implications to develop holistic policies and strategies that potentially catalyse m-payment usage in the new normal era. Originality/value This research expands the current body of knowledge by assessing the factors impacting m-payment usage intention in the new normal era. The four aforementioned MTAM elements and GS (moderator) were recommended to boost model workability and offer novel evidence from a distinct viewpoint.

Does COVID-19 Pandemic Motivate Privacy Self-Disclosure in Mobile Fintech Transactions? A Privacy-Calculus-Based Dual-Stage SEM-ANN Analysis

The emergence of mobile financial technology (mobile fintech) services raises numerous public concerns regarding privacy issues; consequently, researchers in mobile technology acceptance have focused on consumers' privacy self-disclosure behaviors under the usual scenario. However, there is still a lack of understanding on how external influences, such as a public health crisis, affect consumers' privacy decision-making process. Therefore, in this article, we examine the effects of privacy- and pandemic-related antecedents on mobile fintech users' information self-disclosure behavior during the coronavirus disease 2019 pandemic. The present research adopts a self-administered questionnaire with 712 effective responses for data collection and a two-stage partial least squares-structural equation modeling-artificial neural network (PLS-SEM-ANN) approach to test the theoretical lens proposed. The results indicate that the significant structural paths in the model are consistent with the proposed hypotheses and existing literature. Surprisingly, face-to-face avoidance (FFA) does not significantly influence consumers' self-disclosure willingness. Infection severity and infection susceptibility were insignificant with FFA. The present research is the first to investigate consumers' privacy-related behavior via integrating the privacy-calculus framework with control agency theory. This research focuses on consumers' decision-making during the pandemic, explicitly highlighting the macroenvironment's role in influencing an individual's behavior.

Mobile fintech, digital financial inclusion, and gender gap at the bottom of the pyramid: An extension of mobile technology acceptance model

This study aims to predict the determinants of mobile fintech apps and digital financial inclusion from the perspective of the Bottom of the Pyramid (BOP) segment in Indonesia. To address the complexities of BOP users, this paper theoretically grounded on Mobile Technology Acceptance Model (MTAM) (i.e. mobile usefulness (MU), mobile ease of use (MEU)) along with its relevant extension including personal factor (digital financial literacy (DFL)), financial risk factor (mobile perceived financial cost (MPFC)), and consequent factors (i.e. use behavior (UB), and digital financial inclusion (DFI)). The moderating impact of gender was also tested. A survey instrument that was self-administered and comprised measurement items adapted from prior research was utilized to gather data from 200 mobile fintech BOP users residing in Makassar, South Sulawesi. According to the results of the PLS-SEM test, seven hypotheses were accepted, while two were rejected. In addition, it was confirmed that men play a more prominent role than women in strengthening mobile fintech use and digital financial inclusion.

Hey boomer, “your ride has arrived”: Are you willing to continue using the ride-hailing app?

This study examines baby boomers’ continuous usage intention toward ride-hailing apps utilizing the mobile technology acceptance model (MTAM), with mediating (perceived values) and moderating (self-efficacy and service quality) roles. Purposive sampling was used to collect primary data from 301 Indian baby boomers, evaluated using measurement and structural models. Results revealed that MTAM factors (mobile ease of use and usefulness) significantly impacted the perceived values (utilitarian and hedonic), attitude, and continuous usage intention of ride-hailing apps, also revealing associations between key variables contributing to a positive attitude about and continuous usage intention of these apps. Implications for ride-hailing businesses are discussed.

An integrated model predicting the drivers of mobile payment outcomes: evidence from emerging markets

PurposeBecause the success of m-payment services depends on the enablers and barriers that affect user satisfaction, the present research explores the effects of perceived value and sacrifices on users' satisfaction with m-payment services. The predicted relationships among perceived value, perceived sacrifices, users' satisfaction, continuance intention, word-of-mouth (WOM), shopping effectiveness, quality of life (QOL) and stickiness were established based on the mobile technology acceptance model (MTAM) and the value-based adoption model (VAM).Design/methodology/approachA representative data sample of 430 Egyptian banking clients was analyzed to test the hypotheses using partial least squares-structural equation modeling (PLS-SEM).FindingsThe findings revealed that all perceived value constructs significantly positively affect users' satisfaction. Moreover, all perceived sacrifice constructs significantly negatively affect users' satisfaction. Users' satisfaction, in turn, has a significant positive effect on continuance intention, WOM, shopping effectiveness, QOL and stickiness with m-payment services.Originality/valueThis is the first study to examine several levels of m-payment outcomes, including m-payment, consumer and bank outcomes, based on the integration of MTAM and VAM models.

Senior Technology Learning Preferences Model for Mobile Technology

Far more older adults are using mobile devices now than a decade ago. However, the applications they use continue to lag in depth (features) and breadth (diversity). Despite the large body of research on designing technology with older adults and identifying their adoption difficulties, we know little about how older users prefer to learn or troubleshoot mobile technology following an initial adoption and ownership. In this paper, we first review the existing models of technology adoption by older adults that consider learning as a factor and discuss their limitations. Then we interview older adults who use mobile technology (n = 23) and younger adults who help them (n = 17), to identify how older adults prefer to learn and troubleshoot nowadays. Our participants represent three different cultures, North American, South Asian, and Middle Eastern. Findings suggest that in addition to mobile device proficiency, older adults' technology identity---different from their attitude toward technology---determines their learning preferences. We identify two types of learning preferences: self-exploration and social learning, and two types of support, general and social. Social support plays a role in both social learning and learning by self-exploration. Finally, we propose the senior technology learning preferences model for mobile technology (STELE) to describe how different learning preferences and support types influence older adults' mobile technology acceptance and use.

A Mobile Health Information Behavior Model: Theoretical Development and Mixed-Method Testing in the Context of Mobile Apps on Child Poisoning Prevention

While several studies have explored the use of mobile health applications, few have observed determinants of mobile health information behavior. To develop a model explaining parents’ mobile information behavior on child poisoning prevention, we first explored relevant theories to suggest a theoretical model. In that, we combine existing models on risk and health information seeking, such as the Planned Risk Information Seeking Model, with models on the acceptance of mobile technologies, such as the Unified Theory of Acceptance and Use of Technologies. Thereafter, we employed a sequential mixed-method design with an initial qualitative study (four online focus groups with n = 25 parents in total) and a standardized online survey of n = 1,013 parents to evaluate our research model. Results confirm that both, determinants of information seeking and determinants of technology acceptance, contribute to the explanation of mobile information behavior. App use intention was mainly related to the performance expectancy of app use, the subjective information norm, and social influence on app use. To increase the usage of prevention apps and contribute to the reduction of child injuries, communication on poisoning apps should address subdimensions of the performance expectancy, such as their utility and peoples’ trust in app providers. Moreover, physicians are important multipliers for these messages.