Technology Acceptance Framework Research Articles

Development and Empirical Validation of an Information Technology Acceptance Framework

This paper explores the constructs affecting IT acceptance in modern organisations using theoretical frameworks such as the TAM and the UTAUT models. Realising the drawbacks of such dichotomous models for capturing the dynamics of contemporary IT enablers and use processes, the present study plans to offer and test new antecedent and moderating constructs that may provide a more accurate picture of today’s IT deployment and utilisation. The type of research in the study is the quantitative research method, which is adopted in the study where the researcher adopted a structured questionnaire to be administered to 200 participants across the different sectors of the economy, such as health, education, and business. Hypotheses of primary concern are those related to the construct of IT acceptance, including perceived usefulness, ease of use, trust, system transparency, perceived risk, and ethical concerns. The analysis of the data gathered is done using Structural Equation Modeling (SEM) because of the possibility of analysing the associations between several variables. Behavioural construct analysis revealed a significant positive correlation with IT acceptance behaviours, with the value of R for the new construct being 0.935 and the R square value being 0.874, which means that newly derived constructs explain a fair percentage of IT acceptance behaviours. The findings, therefore, point out the lack of conventional frameworks in addressing the complex nature of IT use in various organisational and cultural environments. Full-spectrum system requirements in newly developing domains, such as AI, machine learning, and blockchain, require new fundamental concepts regarding user trust, system openness and ethical considerations. This work extends the IT acceptance literature by providing a better view of the determinants of IT uptake in modern organisations. In totality, the validated constructs have practical implications for organisations desirous of adopting new IT systems, particularly highlighting the role of trust and perceived risk and the need for transparency or the adoption of transparency to guarantee user satisfaction rates and consequent adoption of new IT systems. In conclusion, the study points to the need to develop new models that address today’s diverse IT contexts to inform the next generation of IT acceptance and adoption research.

Understanding metaverse adoption in education: The extended UTAUMT model

The metaverse, an immersive virtual environment enabling users to engage with digital experiences, has the potential to revolutionize education. However, research pertaining to this area is still in its early stages. This study investigates the variables that influence the acceptance of educational metaverses and the intention to use them. It also presents an expanded model called the Unified Theory of Acceptance and Use of Metaverse Technology (UTAUMT) to provide guidance to educators and decision-makers. The study involved 253 Vietnamese teachers and students who had experience with metaverse, selected through purposive sampling. The UTAUMT provides a comprehensive framework that encompasses various factors, including metaverse performance expectancy (MPE), metaverse effort expectancy (MEE), metaverse social influence (MSI), metaverse hedonic motivation (MHM), metaverse price value (MPC), metaverse self-efficacy (MSE), and metaverse facilitating conditions (MFC). These factors were assessed using a self-administered questionnaire. The findings indicate that MEE, MSI, MFC, MSE, and MBI have a considerable impact on the educational metaverse MUB. The extended UTAUMT model makes a theoretical contribution by including metaverse-specific elements into the technology acceptance framework. The managerial implications focus on the integration of the metaverse, training of users, and providing support to enhance the adoption rate. This study explores the elements that contribute to the adoption of metaverse technology in education and contributes to the existing literature on the acceptance of metaverse technology.

From Screen to Table: Understanding Customer Intentions in GrabFood Adoption

This study investigates how perceived usefulness, perceived convenience, and various food choices impact customers' intentions to adopt food delivery services via the GrabFood application. The research methodology involved a survey utilizing questionnaires for data collection. Regression analysis findings reveal that perceived usefulness, perceived convenience, and various food choices significantly influence customer intentions. Both perceived usefulness and convenience positively and significantly affect customer intentions, while various food choices also wield a notable influence. These results contribute to theoretical comprehension by furnishing empirical evidence of the interaction among these factors and customer intentions, thereby advancing the theoretical framework of technology acceptance and consumer behavior. The practical implications are outlined within this study.

Assessing the Use of Virtual Reality as a Tool for Teaching Body Responses to Hypoxia in Pre-clinical Medical Education: A Mixed-Methods Study Focusing on Student Experience and Learning

Virtual reality (VR) has revolutionized medical education, yet its specific effcacy in teaching medical physiology remains underexplored. Conveying the complexities of physiological responses to hypoxia through traditional teaching methods poses logistical challenges, potentially hindering students’ deep understanding. This study investigates the impact of incorporating VR into pre-clinical medical physiology teaching, focusing on students’ self-reported 1) knowledge acquisition and understanding of body responses to hypoxia, 2) VR technology acceptance and satisfaction, and 3) overall learning experience. Methods: In 2022, an ANU Medical School teaching enhancement grant funded data collection to develop a comprehensive storyboard for a VR hypoxia simulation program. With support from the school’s Technology-enhanced Learning and Teaching team and the university’s Centre for Learning and Teaching, we created an in-house limited prototype focusing on key aspects of the scripted VR simulation program to test its feasibility and perceived usefulness within our MCHD program. The tool was integrated into a year 1 practical session, followed by a two-part series of data collection, comprising a questionnaire and video interviews. The questionnaire used a mixed-methods approach, including 5-point Likert scale closed-ended questions rating VR perceived usefulness and ease of use, and open-ended questions allowing participants to provide qualitative responses. Interviews delved deeper into users’ experience, interactivity, collaboration, realism, practicality, knowledge acquisition, improvement suggestions, and overall technology and learning satisfaction. Results: Although the implemented intervention did not represent the full range of features envisioned for the final program, preliminary findings from the first round of data collection via questionnaires (n=45/96) reported positive user experiences. Sixty percent of responses showed agreement (agree (n=22) and strongly agree (n=5)) that learning outcomes were clear and aided by VR. Qualitative findings revealed higher motivation to use VR for learning and an intuitive interface. Thematic analysis identified improvement opportunities, including enhancing hypoxia symptom discernibility and refining visual resolution. These insights will inform the next study phase, refining features to improve the overall learning experience and address technical challenges. Conclusion: Grounded in constructivist learning theory and technology acceptance frameworks, our findings leverage realistic VR simulations to enhance knowledge acquisition and understanding of complex physiological responses. We express gratitude to the hypoxia simulation development project team (Dr Katie Freund, Yili Peng, Dr Siddarth Iyer, Dr Benjamin Mead, Prof Kevin Saliba and Dr Suzanne Estaphan) for their exceptional contributions. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Entrepreneurs’ Intention to Use Crowdfunding: Towards a Conceptual Framework of Technology Acceptance and Entrepreneurial Intention

Despite the popularity of crowdfunding throughout the World, there is a limited amount of academic research conducted to study user acceptance of crowdfunding, especially among entrepreneurs. This paper aims to propose a conceptual model for assessing entrepreneurs’ intention to use crowdfunding. To achieve the objective, the study searched and reviewed current literature on crowdfunding user acceptance in the Emerald and Lens.org databases. Initially, 128 articles were found, and the review was conducted with 37 articles selected according to the inclusion and exclusion criteria. Accordingly, this study proposes a conceptual model with the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) with the entrepreneurial intention model. The integration describes three main factors that affect user acceptance, such as technological factors, environmental factors, and individual factors. This paper tried to create a linkage with variables proposed in the model by providing propositions based on the literature. Future studies are needed to test the propositions in field research.

Positive Relationships between Service Performance and Social Media Use in Internet Retailing

The purpose of this research is to investigate whether differences in Internet retailer service performance influence the use of social media. Information economic theory is used to hypothesize a positive relationship between performance and social media use. To test the relationship, 516 Internet retailers’ websites were investigated, and their service performance was analyzed based on online customer reviews. Exploratory factor analysis transformed the customer review data into refined measurements. The logistic regression model validated the positive relationship between service performance and social media use. Internet retailers who use social media show higher service performance. However, the significant effect is limited to online service performance. Offline service performance (i.e., order fulfillment service performance) was not significantly associated with social media use. This study considers information symmetry as a critical factor in social media use, which differs from previous studies based on traditional technology acceptance frameworks.

What drives the acceptability of a sustainable food production technology? Modeling psychological factors

Innovative and resource-efficient food production technologies are essential to meet the food security and ecological challenges of the future. Understanding the psychological factors that determine the acceptability of ecologically more sustainable systems is crucial for the development of theoretically and empirically derived measures to minimize the risk of the public's rejection of such food production methods. Therefore, a questionnaire study was conducted using the multitrophic interconnected food production system CUBES Circle as object of investigation. CUBES Circle is a research project investigating an innovative farming technique that combines hydro- and aquaculture with insect farming in a controlled environment. A structural model was proposed based on the Technology Acceptance Framework and evaluated using Structural Equation Modeling (SEM). Data collection was carried out in two waves: The first was used for scale development (N = 305) and the second for SEM (N = 485). Due to an unsatisfactory model fit of the initial model, it was adjusted based on theory- and data-driven considerations. The resulting model had a good model fit in both independent samples. The most important determinants of acceptance intentions were the perceived problem-solving efficacy of the technology (outcome efficacy), believed social pressure from relevant people (subjective norm), positive affect towards the technology and the trust in the stakeholders. This implies, for example, that stakeholders and policy makers aiming to increase acceptance are advised to focus on conveying the concrete way of how the technology is more sustainable instead of merely drawing attention to the problems associated with current food production methods.

Enhancing online learning with Wakelet: A technology acceptance framework analysis

Purpose: This study aims to examine students’ perceived usefulness, perceived ease of use, behavioral intentions, and attitudes toward the use of Wakelet as an interactive digital platform for teaching and learning (T&L) in Front Office modules. Research methodology: The sample of respondents was composed of twenty-four Front Office students enrolled in the Hotel Operation program, and the research instrument was a questionnaire based on the Technological Acceptance Model. Results: The findings indicate that the majority of respondents accept the use of Wakelet as an interactive digital platform for T&L in Front Office modules, and Wakelet is also easy to use. Additionally, respondents' attitudes were positive toward the use of Wakelet, and students' behavioral intentions towards the use of Wakelet were also at a high level. Limitations: However, this study has limitations, such as focusing only on students' perceptions and attitudes towards Wakelet as a digital platform for T&L in the Front Office module. Contribution: This research adds to the body of knowledge by providing insights into students' perceptions of Wakelet as a new interactive digital platform for T&L in the Front Office module. It highlights the positive attitudes and perceived usefulness of Wakelet among students, indicating that Wakelet has the potential to enhance the quality of online learning experiences. Novelty: The novelty of this study lies in its examination of the perceptions, attitudes, and behavioral intentions of students towards Wakelet as a new digital platform for teaching and learning. This study provides evidence that Wakelet can be an effective tool for enhancing the learning experience and improving student performance.

Research on Ethical Issues and Coping Strategies of Artificial Intelligence Algorithms Recommending News with the Support of Wireless Sensing Technology

This study shows how well the wireless sensing technology may be used to forecast how people would react to AI‐ (artificial intelligence‐) driven customization in digital news sites. We randomly picked participants to enroll in an online questionnaire. This study determines the ethical issues and coping strategies of AI‐based news using sensor technology. The study proposed an improved naïve Bayes classification algorithm to forecast the acceptance of AI‐driven news sites. Additionally, the technology acceptance framework characteristics continue to be crucial in determining adoption decisions. The findings demonstrate that the observed contingency has a large direct influence and an indirect effect that is moderated by improved user interaction and positivity in forecasting the acceptance of AI‐driven news sites.

Factors Influencing Blockchain-based Mobile Banking Adoption: Evidence from a Developing Country

This study attempts to explain the factors influencing blockchain-based mobile banking acceptance in Bangladesh. Based on a technology acceptance framework termed UTAUT2 (unified theory of acceptance and use of technology 2), an enhanced model with a mediating variable is built for this research. Data were collected from the first-ever blockchain-based mobile banking stakeholders in Bangladesh called 'UPAY' by applying a structured questionnaire. Structural equation modeling was then processed using Smart-PLS. There are eight direct hypotheses and one mediating hypothesis in this research. The findings reveal that all of the direct hypotheses except the impact of social influence on the behavioural intention (BI) to use blockchain are statistically significant. The mediating role of BI in the connection between facilitating conditions (FC) and actual blockchain use is also supported. The combination of FC and BI contributes to 88.8% of the variation in blockchain usage behaviour for mobile banking adoption. The findings of this study can help banking regulators devise a strategy for engaging a significant number of banks to create a blockchain-based mobile banking platform.

Supply chain management professionals’ proficiency in big data analytics: Antecedents and impact on performance

While big data analytics (BDA) carries great potential for supply chain management (SCM), actual advanced applications of these approaches are still limited in practice. Within this context, we seek to identify what can foster an SCM professional’s proficient use of BDA, and define BDA proficiency as an individual’s ability to effectively use BDA. Grounding our research in the theoretical framework of technology acceptance, we consider perceived ease of use, perceived usefulness, attitude toward, and behavioral intention to use BDA as potential influential antecedents. Using primary survey data from 212 SCM professionals, we find that all but one of these hypothesized relationships are confirmed among the sample. This offers valuable insight on how to drive the intention of SCM professionals to use BDA, which serves as a foundation to become proficient in it. In addition, we hypothesize about the impact of BDA proficiency on generating business value in terms of both quality and cost performance, two important outcome variables in SCM research. While the impact on cost performance is confirmed, the impact on quality performance is non-significant, bringing greater clarity to the differentiated performance impacts of BDA proficiency. When further scrutinizing these links to performance under the moderating effect of environmental competitiveness, we not only find the impact of BDA proficiency on cost performance to be greater under higher levels of environmental competitiveness, but also that under such greater levels the link from BDA proficiency to quality performance becomes significant. Overall, our research provides insight not only into what can foster an SCM professional’s BDA proficiency, but also into its impact on performance under various levels of environmental competitiveness.

Understanding the Factors Influencing Consumers’ Intention toward Shifting to Solar Energy Technology for Residential Use in Saudi Arabia Using the Technology Acceptance Model

Over the last few years, the Kingdom of Saudi Arabia has taken significant steps in adopting clean and sustainable energy coming from renewable energy sources. The adoption of solar energy in residential use was one of the main projects in the 2030 Saudi vision of preserving nature reserves, with sustainability as a key pillar. The Saudi government has granted individuals the right to install solar photovoltaic systems in their homes and has taken many steps to encourage this initiative. However, despite all these efforts to bring solar energy into homes, few applications have been received. Therefore, it is important to examine the various factors that influence Saudi society’s perceptions and attitudes toward the acceptance or rejection of new solar technologies. The Technology Acceptance Model is one of the best technology acceptance frameworks. The model examines intentions and attitudes to adopt new technologies based on two constructs: perceived usefulness and perceived ease of use. In this study, we extend the Technology Acceptance Model by adding new constructs: relative advantages, environmental awareness, and cost of solar photovoltaic systems. These factors were examined by analyzing the intentions of 492 male and female respondents. Data were collected through online surveys. The findings of the study indicated that all the Technology Acceptance Model constructs significantly impact the attitude toward the adoption of solar energy in residential use. These results recommend that the Saudi government should focus on increasing Saudi environment awareness, reconsidering solar PV costs, and putting more emphasis on the relative advantages of solar PV in residential use.

Investigating the drivers of wearable technology adoption for healthcare in South America

PurposeThis empirical study examines the drivers of consumer intention to adopt wearable technology for healthcare in a South American country. Specifically, it proposes and tests a model of nonuser consumer intention to adopt fitness trackers for healthcare purpose in Chile.Design/methodology/approachThis study draws on the technology acceptance framework UTAUT2 to develop and test a conceptual model of wearable technology adoption. Data were collected through an online survey applied to 470 nonusers of wearable technology in Santiago, Chile.FindingsFindings indicate that hedonic motivation, social influence and perceived usefulness have the strongest influence on intention to adopt fitness trackers in Chile for healthcare. In addition, health motivation is an indirect predictor of consumer's intention to adopt wearable technology through its effect on perceived usefulness.Practical implicationsThe study contributes to a better understanding of consumer intention to adopt wearable technology for healthcare objectives in a less developed country in South America. Findings are useful for wearable technology managers, retail business and public policymakers.Originality/valueDespite the vast growth and importance of wearable technology for healthcare purposes, academic research considering less developed countries is scarce, especially the South American region. The proposed model and findings can extend this research gap. Theoretical and managerial implications are discussed as well as implications for public policy.

Digital teaching in the context of Chinese universities and their impact on students for Ubiquitous Applications

The thesis aims to investigate the aspirations of Chinese educators and the use of innovations in education in the Chinese classroom due to the contradiction between the widespread encouragement of technological use in teaching and the latest research on educator software. Eight parameters such as presumed usage (PU), presumed ease of use (PEU), behavioral interpretation (BI), machine self-efficacy (MSE), software complexity (SC), ease of glass wall), and social constructivism educational values (CEVs) were introduced. Into the innovation diffusion model to investigate connections between these factors. Those would be the foundation of the technology acceptance framework. Digital teaching in the Chinese university's (DT-CU) framework is proposed in this research. Information was obtained from a Personality survey and evaluated with a conceptual model from 185 educators at five educational institutions. The findings show that the method suggested fits well. There were four values – PU, SC, and CEVs, while PEU and SC aren't the most robust determinants. In comparison, PU, CEV, and MSEs are important backgrounds for the technology usage of educator BIs. This research helped explain entrepreneurial intention hypotheses by putting the present study within the education system framework. It offered essential references for the decision formulation and personal success of educators related to technical.

An acceptance model for sports technologies: the effects of sports motivation, sports type and context-aware characteristics

PurposeThis study explores the drivers behind sports technology use and identifies the need for a new conceptualization of sports technology adoption. To address this issue, the authors create a new construct, “context-awareness,” with four dimensions: tracking, coaching, sharing and gamification.Design/methodology/approachThe paper uses a mixed-method approach, including in-depth interviews and partial least squares structural equation modeling. The proposed model combines technology acceptance frameworks with the Sports Motivation Scale and a novel context-awareness scale. It is empirically tested with a diverse sample of 600 respondents to identify use-intention differences according to sports motivation and sport types.FindingsThe paper reveals group differences in sports type (dynamic vs nondynamic) and sports motivation (intrinsic vs extrinsic) regarding sports technology use. It also suggests that perceived technology characteristics mediate the relationship between context-aware features and intention to use.Originality/valueThis research introduces a new construct of “context-awareness” into the literature on new technology acceptance. The proposed model combines insights from information systems, sports science, sports marketing and sports medicine to explain the adoption of complex technology.

Development and validation of an instrument to measure online assessment acceptance in higher education

AbstractMany educational institutions have adopted online assessment in recent years. Previous studies on online assessment have often been tied to studies on learning management systems. As such, questions of online assessment acceptance have typically been overshadowed by a focus on the acceptance of learning management systems in general. The focus of the present research on online assessment is relatively rare. This paper describes the validation of an instrument to measure online assessment adoption by lecturers in higher education. A total of 213 participants responded to a 20‐item online questionnaire. With the data collected and the model fit, the instrument developed was able to meet the expectations to measure online assessment. The preliminary evidence of the validity of the extended Unified Theory of Acceptance and Use of Technology model, based on its reliability found in the current study, supports the use of the instrument as a technology acceptance framework for online assessment systems. Practitioner notesWhat is already known about this topic Unified Theory of Acceptance and Use of Technology (UTAUT) model has been found to be a reliable and robust model to study and explain technology acceptance and use across various educational contexts. In the UTAUT model, performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions are direct determinants of user acceptance and use behaviour. Subsequent validation by Venkatesh et al. (2003) in a longitudinal study found that the UTAUT model was a competent model that explained the relationships between PE, EE, SI and user behavioural intention (BI). What this paper adds An extended UTAUT model has been proposed, with the removal of EE as many UTAUT studies have shown that its influence has not been as consistent as compared to that of the other original constructs. In its place, constructs such as usability and learnability have been added as potential influences on both BI and use behaviour. Attitude as a construct has been added, as this was first included in an earlier Technology Acceptance Model but absent in the original UTAUT model. Development of a validated instrument suitable for assessing educators' acceptance of online assessment based on the extended UTAUT model. Implications for practice and/or policy The instrument proposed in this study can be used as a tool to examine educators' perception on online assessment. The instrument can also be used as a tool to inform educational institutions the factors that influence the successful implementation of online assessment or assessment‐related systems. Based on its reliability found in the current study, this study supports the use of the instrument as a technology acceptance framework for online assessment systems.

Antecedents to purchase intention in virtual market space in India: an empirical investigation

This research attempts to integrate the Virtual Try-On technology, an application of image integrative technology, and the technology acceptance framework to examine the influence of interactivity and customer involvement on the online shopping experience. It attempts to empirically test the conceptual model to establish how the virtual trial of apparel attributes influences conative responses towards an apparel retail website. The antecedents of the conative response (purchase intention) have been empirically validated for a sample size of 410 internet users in India specifically of the millennial cluster. Result reveals the importance of confidence in apparel fit, utilitarian value, and hedonic value in strengthening the purchase intention of an online shopper.Body esteem is also a significant antecedent to purchase intention, while customers shop online. This research endeavor affirms the role of a virtual trial in strengthening the purchase intention in the virtual market space. The outcomes of this study add to the body of knowledge about the efficacy of Image Integrative Technology.

Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

Batteries, compressed air, flywheels, or pumped hydro? Exploring public attitudes towards grid-scale energy storage technologies in Canada and the United Kingdom

Grid-scale electrical energy storage technologies (GESTs) – like compressed air energy storage (CAES), flywheels, lithium ion batteries, and pumped hydro storage – will play a key role in the decarbonisation of national electricity systems. While the public acceptability of energy infrastructure is important, little is known about public attitudes towards GESTs.This study presents the findings of an online survey (N = 2058), based upon the Comprehensive Technology Acceptance Framework, designed to provide insight into the nature of public attitudes towards GEST deployment in two Western industrialised nations, Canada (n = 1014) and the United Kingdom (n = 1044).We show here that public attitudes towards GESTs are positive in both countries. Participants showed a relative preference for pumped hydro (37–40% favoured this option) versus batteries (23–25%), compressed air (13–17%), flywheels (14%), or none (8–10%). Structural equation modelling was used to identify the predictors of general attitudes towards GEST deployment. General attitudes were directly predicted by positive and negative affect, perceived risks and benefits, and trust in developers. We also show that trust in developers and environmental worldviews are significant mediated predictors of general attitudes, and that our overall model of general attitudes was comparable within both countries.The findings hold implications for the design and delivery of public engagement and communication programmes pertaining to GESTs. They confirm the need to employ trusted communicators, reflect the potential value to using environmentally-framed messaging, and advocate in favour of approaches that both respond to the genuine concerns of citizens and are designed to promote more informed public discourse about their inclusion (or exclusion) in national electricity networks.

Benefits, Challenges, and Social Impact of Health Care Providers’ Adoption of Social Media

With the advent of telecommunication technologies and social media, many health care professionals are using social media to communicate with their patients and to promote health. However, the literature reveals a lacuna in our understanding of health care professionals’ perception of their behavioral intentions to use innovations. Using the Unified Technology Acceptance Framework (unified theory of acceptance and use of technology), in-depth interviews were conducted with 16 Australian health care experts to uncover their intent and actual use of social media in their medical practices. Results revealed that social media tools offered five significant benefits such as (i) enhanced communication between health care professionals and their patients, (ii) community support, (iii) enabled e-learning, (iv) enhanced professional network, and (v) expedited health promotion. However, result also revealed barriers to social media usage including (i) inefficiency, (ii) privacy concerns, (iii) poor quality of information, (iv) lack of trust, and (v) blurred professional boundary. Peer influence and supporting conditions were also found to be determinants of social media adoption behaviors among health care professionals. This study has important implications for health care providers, patients, and policy makers on the responsible use of social media, health promotion, and health communication. This research is also among the very few studies that explore Australian health care professionals’ intent and actual use of innovations within a health care setting.