Decomposed Theory Of Planned Behavior Research Articles

Internet of things platforms adoption in agriculture: comparative theoretical models

PurposeThe purpose of this study is to determine the farmers’ behavioural intention (BI) to adopt Internet of things platforms (IoT-P) in the agriculture context by comparing two well-known theories: the united theory of acceptance and use of technology (UTAUT), and the decomposed theory of planned behaviour (DTPB) with the integration of innovation resistance theory (IRT).Design/methodology/approachPurposive sampling was used to get responses from 267 potential farmers to examine their IoT-P adoption intention in Pakistan. The PLS-SEM, PLS model evaluation criterion and PLS model selection criterion were considered to determine the significance of path co-efficient, explanatory power, predictive power and more parsimonious model.FindingsThe findings demonstrate that DTPB is the best model with the extension of functional barriers (FBs) and psychological barriers (PBs). It has more predictive relevance and explanatory power. The results show that farmers’ attitude (ATT), based on the evaluation of three attributes (i.e. perceived usefulness (PU), perceived ease of use (PEOU) and compatibility (COMP)), is the strong predictor of farmers’ BI to adopt IoT-P. In addition, self-efficacy (SEF) and facilitating conditions (FC) peer influence (PI) and superiors’ influence (SPI) are required for adoption of IoT-P devices. Finally, FB and PB significantly and negatively influence the farmers’ BI to adopt IoT-P.Originality/valueThis research is the first to consider the two technology adoption models with the integration of IRT for explaining farmers’ BI in the context of agriculture.

Effect of older adults willingness on telemedicine usage: an integrated approach based on technology acceptance and decomposed theory of planned behavior model

BackgroundTelemedicine, as a novel method of health management system, has demonstrated to have a significant impact on health levels. However, a challenge persists in the form of low usage rates and acceptance among older adults in China. There are accumulating evidence that willingness will affect the telemedicine usage among older adults. This study investigates factors influencing older users’ trust in adopting telemedicine technology, thereby promoting actual use.MethodsA questionnaire survey was conducted with 400 urban seniors aged 60 and above. Drawing from the Technology Acceptance Model (TAM) and the Decomposed Theory of Planned Behavior (DTPB), the author combines elements such as Perceived Usefulness, Perceived Ease of Use, Subjective Norms, Service Environment, Self-Efficacy, Behavioral Intention to Use, and Usage Behavior. The aim is to explore the interrelationships between these factors.ResultsPerceived Usefulness (PU) and Service Environment (SE) significantly and positively impact Behavioral Intention (BI) to use telemedicine, with Trust (TR) identified as a crucial mediating variable. Enhancing trust can substantially increase older adults’ intention to use telemedicine services. Furthermore, the study reveals a significant relationship between older adults’ trust in telemedicine and factors such as Perceived Usefulness (PU), Service Environment (SE), Subjective Norms (SR), as well as Emotional Risk (ER) and Cost Risk (CR), the latter two tending to decrease Trust(TR).ConclusionsThis paper constructs and validates a combined model based on TAM and DTPB, comprehensively exploring the potential factors influencing the older adults’ intention to use telemedicine. The findings suggest that telemedicine services for older adults should prioritize improving user perception and enhancing trust throughout the service process to effectively increase their willingness to use these services.

Determinant factors for online cash waqf intention among Muslim millennial generation

Purpose This study aims to examine the factors influencing the intention of Muslim Millennial Generation in Indonesia to donate cash waqf digitally. Design/methodology/approach A quantitative approach was employed, surveying 284 Muslim Millennial Generation in Indonesia. The study integrated the Decomposed Theory of Planned Behavior (DTPB) and Technology Acceptance Model (TAM) to investigate the key factors driving the intention to contribute to cash waqf digitally. The researcher analyzed data using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings The findings of this study indicate that all hypotheses related to the variables are supported, including both direct and indirect correlations, except for perceived religiosity. This study confirms that the decision of millennials to donate cash waqf online is influenced by various factors, including their attitudes, the environment they are in, their ability to control their behavior, their perception of the ease and usefulness of technology and the availability of suitable facilities. Knowledge of technology is also a decisive component. Nevertheless, this study yielded intriguing findings that the perceived level of religious devotion does not impact the millennials’ willingness to make online cash waqf donations. Practical implications This study’s findings offer valuable insights for waqf institutions, providing a better understanding of Muslim millennials’ characteristics and preferences regarding spending, donations and waqf activities. This understanding can be instrumental in enhancing innovative digital platforms for cash waqf in the digital economy era. Originality/value This study uniquely explores the determinants of digital cash waqf donations among Muslim Millennial Generation in Indonesia. Contributions include integrating the DTPB and the TAM for a comprehensive analysis. Cross-disciplinary perspectives from behavioral economics and digital marketing enrich the research. Comparative studies and potential longitudinal analysis enhance depth, providing nuanced insights into the dynamic factors shaping digital donation behavior among Muslim millennials.

Factors influencing the intention to use the ICD-11 among medical record officers (MROs) and assistant medical record officers (AMROs) in Ministry of Health, Malaysia.

The transition of ICD has never been a straightforward initiative. As nations transition to ICD-11, ensuring its acceptance among the users is essential. To our knowledge, there are limited studies about the instrument and ICD-11 adoption. Therefore, the purpose of this study was to design an instrument and investigate the factors influencing the intention to use the ICD-11 among medical record officers (MROs) and assistant medical record officers (AMROs) at Ministry of Health (MOH) Malaysia facilities. Based on the current literature, a model based on the decomposed theory of planned behaviour (DTPB) was proposed. The model consisted of 13 dimensions and 12 hypotheses identified from previous studies. Using PLS-SEM, 185 survey data points were analysed. The study findings showed that ten factors have a significant impact on the suggested model. Users' subjective norm was the most influential factor in their intention to use ICD-11. Unexpectedly, perceived usefulness and was found to have no significant influence. This study is important for policymakers in strategising ICD-11 implementation efforts. This study's novelty lies in applying a DTPB theory model in the context of the intention to use ICD-11.

What drives mobile banking adoption due to Covid-19 outbreaks? An empirical investigation of the younger generation in Indonesia

This study examines the factors of mobile banking adoption by 1162 bank customers during the Covid-19 pandemic. The data collection was analyzed using PLS-SEM with Smart PLS 4.0. This study extends the decomposed theory of planned behavior (DTPB) model by disease risk, trust, and a five-dimensional perceived risk. Based on the findings, disease risk, attitude, perceived behavior control, and trust influence customers' intention to use mobile banking, whereas subjective norm and perceived risk had little impact. Disease risk has the greatest influence indicating the danger posed by the pandemic in using cash as payment. As a result, banks must focus on mobile banking innovation tailored to customer needs, user-friendly, easier to navigate and enable banking services for daily use.

What Accelerates the Choice of Mobile Banking for Digital Banks in Indonesia?

The recent COVID-19 pandemic has led to changes in business, technology, and social interactions, creating a new normal that has important implications for the role of technology, including mobile banking services that offer safer and more hygienic payment methods than cash. Innovations in mobile banking services have been considered to have the ability to provide unbanked customers with better access in growing markets such as Indonesia, which still has a huge unbanked population of 100 million people. This study evaluates the driving factors of mobile banking adoption by 1441 banking customers among major digital banks in Indonesia. Data collected between September 2022 and March 2023 were examined using PLS-SEM with Smart PLS 4.0.9.6. This study extends the Decomposed Theory of Planned Behavior (DTPB) framework by including Disease Risk, Trust, Firm Reputation, Perceived Risk, Performance Risk, Privacy Risk, Financial Risk, Psychological Risk, Time Risk, and Disease Risk. The findings show that Trust, Attitude, Perceived Behavior Control, Perceived Risk, Psychological Risk, and Disease Risk play a significant role in respondents’ intention to adopt mobile banking services. In contrast, Subjective Norm, Firm Reputation, Performance Risk, Privacy Risk, Financial Risk, and Time Risk had lower impacts. The findings suggest that users choose mobile banking over cash as a safety measure. As a result, banks must prioritize their mobile banking innovations tailored to personalized user experience to deepen engagement, with easy-to-use navigation that fits the lifestyles, values, and needs of banking customers.

Open access (OA) publishing behavior of university faculty members from the perspective of decomposed theory of planned behavior (DTPB)

Purpose Open access (OA) has emerged as a modern academic publishing paradigm that strives to provide all members of society with free access to scholarly knowledge. This study aims to assess the behavior of faculty members to publish in OA journals from the perspective of the decomposed theory of planned behavior (DTPB). Design/methodology/approach A quantitative survey research design based on a cross-sectional survey approach was applied to investigate the phenomenon. The data were collected through a structured questionnaire from 338 faculty members of two large universities in Pakistan. Findings The findings of the study indicate that behavioral intentions (β = 0.664, p < 0.01), subjective norms (β = 0.159, p < 0.01) and perceived behavioral control (β = 0.238, p < 0.01) positively while attitude toward behavior negatively affected the actual behavior of the university faculty members to publish in OA journals. Research limitations/implications The study offers theoretical implications for researchers and practical implications for educational authorities, policymakers and funding agencies. Originality/value The study fills the literature gap and offers insight into the OA publishing behavior of academicians from the perspective of DTPB.

Exploring Cloud Computing Adoption in Higher Educational Environment: An Extension of the Tpb Model With Trust, Peer Influences, Perceived Usefulness and Ease of Use

Cloud computing is regarded as the next generation of computing. It is progressively being used as a launching pad for digital innovation and organizational agility. Cloud computing is frequently used by private and public organizations due to its flexibility, collaboration, cost-effectiveness, and scalability. These characteristics make cloud computing indispensable for individuals and businesses such as higher education institutes. Several prior studies covered the technological facets of cloud-based contexts, including cloud security, scalability, and virtualization. However, it is contend that the main barrier to cloud computing isn't technical but cognitive or behavioural, and in particular attitudinal. Thus, this research aims to study higher education’ students’ attitudes and their intention to adopt cloud computing, with a specific concentration on the effect of trust, peer influences, perceived usefulness and ease of use in order to investigate the factors influencing the adoption of cloud computing in higher educational environment in Saudi Arabia. This study presents an extended Decomposed Theory of Planned Behaviour (DTPB) to include trust, peer influences, perceived usefulness and ease of use as a cognition, representing a person’s perception of social influence to perform or not perform a behaviour under consideration. The proposed model was able to explain 62% of the variance in behavioural intention and 65% of students' attitudes towards the adoption of cloud computing in higher educational environment. The study's findings show that the proposed model explained a significant amount of variation in cloud computing adoption. It suggests that the model expansion by incorporating trust, peer influences, perceived usefulness and ease of use factors were valuable explorations. Further, the findings demonstrate that university students' attitudes toward using cloud computing are significantly influenced by perceived ease of use, trust in cloud computing service provider and perceived usefulness, which have the ability to explain their attitude by 22.15%, 21.9% and 20.9% respectively. The result also shows that "subjective norm" alone explains 33.95% of students' "behavioural intentions" towards using cloud computing, followed by their "attitude," which explains around 14.24% of "behavioural intentions," and then university students’ "self-efficacy," with 13.71%.

Investigating Institutional Investors' Behaviours toward Cash Waqf Linked Sukuk (CWLS) using DTPB

Cash Waqf Linked Sukuk (CWLS) is a newly developed social investment instrument to stimulate Indonesia's productive waqf movement. CWLS has numerous commercial and social benefits and worship values. However, despite these advantages, it takes a long time for CWLS to collect funds due to various challenges and inadequate investors' response rate, which is still far from expectation. Thus, this study looks into the contributing factors and antecedence that entail and determine the decision of an institutional investor to invest. The theoretical framework applied the decomposed theory of planned behavior (DTPB). Additionally, it highlights a new perspective by delivering the specific determinants that impact investors' attitudes, moral norms, and perceived behavior control. These factors offer a deep understanding of the association and determine their definite effects on intentions. Based on a survey of 250 respondents, analyzed using partial least squares – structural equation modeling (PLS-SEM), it was found that the proposed hypotheses were accepted. Above all, the important finding is the contribution of attitude as the dominant determinant impacting the investor's intention. It was mainly driven by perceived Ihsan as part of the Muslim religiosity dimension reflecting the spirit to do good. This study's findings provide deeper insight into untested behavior literature. This study will also benefit policymakers, academicians, and future researchers.

Applications of Decomposed Theory of Planned Behaviour in Making Decision to Adopt a Career in Social Entrepreneurship

The primary objective of the research is to identify the determinants that influence the decision-making process of entrepreneurs in pursuing a social enterprise. The study is based on the Decomposed Theory of Planned Behaviour, which is a well-known framework used to forecast intentions, encompassing social entrepreneurial career intentions. However, prior research has predominantly focused on conventional entrepreneurship. The central aim of this research is to explore whether there are any variations in the factors that influence the intention of establishing a social enterprise as a means of conducting one's own business. The current study specifically investigates the degree of correlation between Decomposed Theory of Planned Behaviour predictors and the intentions of pursuing a socially entrepreneurial career. The research compares the determinants that underlie the decision to launch a social enterprise based on a comprehensive sample of 142 Romanian social entrepreneurs and their evaluations of social entrepreneurial career intentions. The findings validate the widespread impact of attitudes and perceived behavioural control (self-efficacy) on social entrepreneurial career intentions, as well as the effects of subjective norms.

Modelling the adoption of electronic vehicle diagnostic technology for vehicle repairs: A structural equation modelling approach

The introduction of emission legislation around the world has led to an increasing number of innovations including the use of on-board diagnostic techniques for pin-pointing faults on vehicles. Generally, the adoption of Electronic Vehicle Diagnostic Technology (EVDT) for the repair of vehicles is low in Ghana. The objective of the study was to develop an Electronic Vehicle Diagnostic Technology Acceptance Model (EVDTAM) to assess the mechanics' intention to use and the actual use of EVDT for the repair of vehicles. The model developed was derived from the original Technology Acceptance Model (TAM) by considering the technological factors (perceived ease of use and perceived usefulness), and Decomposed Theory of Planned Behaviour (DTPB). In this research, a convenient sampling technique was used to select a population of 384 auto mechanic master craftsmen from the Volta and Greater Accra Regions in Ghana where automobile repair workshops especially local and corporate garages were dominant.The results indicated that the majority of the structural relationships supported the hypotheses with positive significant links. The technology facilitating condition emerged as the strongest predictor of intention to use EVDT. The adoption of EVDT was strongly predicted by the resource facilitating conditions. The empirical findings of the study are a step forward towards filling the research gap given the fact that testing and validation of the EVDTAM model has not been performed by any other study. The proposed model was found acceptable per the requirements of measurement and structural model testing. Practical and theoretical implications were also discussed.

An integrated approach to evaluate effective service innovations for thematic guesthouses

As guesthouse operators normally possess relatively limited resources and budgets, it is critical for them to evaluate innovations before implementation. This research note integrates the merits of the structure of Decomposed Theory of Planned Behavior (DTPB), choice experiment, and latent class model to evaluate potential service innovations. Seven DTPB-based attributes with various levels of service are explored through a stated-preference experiment. Four hundred and forty-six interviews are conducted and the results show that behavioral heterogeneity is confirmed toward innovations and three-segmented groups can be further identified using gender and income status. Guests in Segment 1 regard guesthouse reputation as an endorsement to influence their stay intentions. Guests in Segment 2 appreciate the connections with guesthouses through interior decorations and cultural activities. Guests in Segment 3 value not only stay experiences but also care service details. This study extends the power of DTPB and provides a guidance for guesthouse operators to prioritize innovations regarding targeted guests.

Determinants of Behavioral Interest in the use of Electronic Money (E-Money): Decomposed Theory of Planned Behavior Model Approach

The Purpose of this study is to test and to analyze the effect of perceived usefulness, perceived ease-of-use. interpersonal influence, external influences, facility conditions, attitudes, subjective norms and perceived behavioural control on interest in using E-money with modifications of Decomposed Theory of Planned Behavior (DTPB) based on accounting system information. The sampling method used is a non-probability sampling method in the form of convenience sampling. This research was conducted on the behavioral interest in using e-money in Batu City with the determinants of the Decomposed theory of Planned Behavior (DTPB) model in 2022. Data was obtained through online questionnaires filled out by 100 active users of electronic money systems. The analysis method used is a Structural Equation Modeling/SEM with a Partial Least Square/PLS test tool. Empirical evidence shows that perceived usefulness has no significant effect on the attitude, perceived ease-of-use, interpersonal influence, external influence, facilitating condition, attitude, norm subjective, perceived control behaviour has significant effects on intention electronic money. E-money is a prepaid product or stored value where consumers can store funds or monetary value in an electronic device. E-money is recommended to provide an electronic payment system that can be used easily and usefully while at the same time being able to use these results as a reference on customer behaviour in using electronic money accounting-based payment systems. This study uses DTPB, which is modelled directly on actual use. Keywords: Accounting; System; Electronic Money; DTPB; and intention.

The Relationship between Teachers’ Belief Systems, Creativity and the Use of Technology-based English Teaching

This study intends to find out teachers’ belief systems, its’ relevant factors and teachers’ creativity which may influence the use of technology for teaching of English at undergraduate level in Islamabad, Pakistan. The study highlights certain problems faced by teachers under belief system and the relevant factors in their implementation of Information and Communication Technology (ICT) for teaching of English inside classrooms. Data was collected through a questionnaire questionnaire based on Decomposed Theory of Planned Behavior (DTPB) from 31 ESL teachers teaching at different colleges in the capital of Pakistan [Islamabad] to know their perceptions, opinions and ideas regarding barriers confronted by them in the implementation of technology for teaching English as Second Language (ESL). Data is analyzed with the help of SPSS 22. The findings of the study revealed internal and external barriers such as beliefs, attitudes, behaviors, subjective norms, professional development, resources, and cross culturalism faced by teachers for incorporating innovation and creativity in their teaching practices through the use of technology in Pakistan. The study concludes with recommendations and suggestions for further research.

The antecedents of entrepreneurial behaviour in the creation of platform economy initiatives: An analysis based on the decomposed theory of planned behaviour

The platform economy (PE) has experienced its strongest period of growth since the emergence of the sharing economy (SE). Much work has been put into understanding the effects and antecedents of the PE, with particular emphasis on peers and consumer motivation, yet few studies have analysed the motivations of the service providers and even fewer its impact on individual and collective wellbeing. The aim of this paper is provide a better understanding of the decomposed beliefs that inform the attitudinal, social-normative and control factors that make up pro-PE behavioural intention (the intention to develop a PE initiative) in the context of digitisation and wellbeing, while making the platform the focus of analysis. In this study we adapt and extend the Decomposed Theory of Planned Behaviour (DTPB) and use partial least squares regression (PLS), a structural equation modelling technique, to analyse valid data collected from 127 PE organisations operating in Spain. The empirical results obtained demonstrate that the three antecedents for behavioural intention (perceived control, attitude and the subjective norm) have a positive effect on the intention to develop a PE initiative. The study also shows that PE micro-entrepreneurs are motivated by individual and collective wellbeing and not just financial gain. This contributes substantially to reconciling the PE with its origins, rooted in pro-solidarity and social concerns, and to framing wellbeing in a broader paradigm consisting of psychological and social factors, going beyond the economic considerations and interests contained in previous paradigms.

Factors Affecting the Adoption of Augmented Reality as Pedagogical Tools in Higher Education During the Covid-19 Pandemic

Advanced digital technology has produced modern visual technology tools named Augmented Reality (ART), which can integrate virtual reality objects within the real environment. Current studies have proven that AR technologies can enhance teaching and learning practices in higher education. While university learners have become more digitally savvy to support their learning, this is not the case with many faculty members using technology to enhance their teaching practice. The factors that can affect academic staff to use of ART as pedagogical tools are still unclear. this study aims to investigate the potential factors that can influence academic members' decision to adopt ART to support students learning, using the decomposed theory of planned behavior (DTPB) model as a theoretical framework. A survey was conducted, and 851 usable responses from participants were received in total. Additional results indicated that most of the potential factors can have a strong influence on faculty members' behaviour to use ART. The research model fitted the data and supported most hypotheses. Thus, these factors are crucial for universities to integrate ART to enhance the educational environment. Keywords: Augmented Reality, teaching and learning, pandemic period.

Factors facilitating clinical application of and adherence to evidence-based healthcare among medical professionals attending national competitions in Taiwan: a study based on the decomposed theory of planned behaviour

BackgroundImplementing evidence-based healthcare (EBHC) to improve the quality of patient care is a key issue for physicians and nurses. One of the most effective activities for achieving this is the annual topic-oriented clinical application national competition in Taiwan. Hundreds of clinical issues have been presented in this competition. By using the decomposed theory of planned behaviour (DTPB), this study explored physicians’ and nurses’ behaviour and adherence to the clinical application of EBHC after participating in the competitions.MethodsWe conducted a 3-month cross-sectional online survey using a structured questionnaire adapted from the original study of the DTPB to collect behavioural and intention-related data. We also used a model of seven action stages (from aware of to adhered to) to assess target behaviours. We targeted contestants of the EBHC competitions between 1999 and 2017 as study participants. Of 631 teams, 321 teams completed the questionnaire, representing a 49.5% response rate. We applied structural equation modelling to test model fit. Moreover, we executed multivariate logistic regression to identify potential predictors.ResultsOf the respondents, 33.3% reportedly reached the final adhered to stage. The DTPB model exhibited a good fit to the observed data. All constructs (usefulness, compatibility, peer influence, superior influence, self-efficacy, resource facilitating conditions, attitude, subjective norms, behavioural control, and intentions) were positively associated with the target behaviours, except for ease of use and technology facilitating conditions. Furthermore, the study model explained the variance in the target behaviours (37.0%). Having managerial duties (odds ratio [OR] =2.03, 95% confidence interval [CI] =1.10–3.77), resource facilitating conditions (OR = 1.06, 95% CI = 1.01–1.11), behavioural control (OR = 2.21, 95% CI = 1.47–3.32), and intentions (OR = 1.96, 95% CI = 1.40–2.73) were significant predictors of the achievement of the adhered to stage.ConclusionsThe study demonstrated the association between determinants of behaviour and clinical applications and factors influencing adherence to EBHC among competition participants. The adherence rate was not high after the competitions, and this may be improved by promoting certain factors associated with the target behaviours.

Predicting pre-service English language teachers’ intentions to use augmented reality

Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR’s prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English teachers’ intentions to use AR in their future language classes. For this purpose, a correlational research design was applied. The participants were exposed to an implementation process which included training on creating AR experiences as well as developing a stand-alone AR application and a discussion session on AR in language classes. Next, a 5-point Likert-type scale of Decomposed Theory of Planned Behavior (DTPB) was administered to pre-service English teachers (n = 141). Results indicated that attitude with a very high impact from perceived usefulness was the most significant predictor of participants’ intentions to use AR. On the other hand, facilitating conditions and ease of use were the least impactful factors. The findings offer implications for teacher educators, curriculum designers, teacher education program developers and teachers.

Blockchain technology acceptance by investment professionals: a decomposed TPB model

PurposeThe rapid emergence and acceptance of blockchain applications by investment professionals has made this study significant. The study aims to examine the degree of trust and acceptance of blockchain technology in the Indian financial services industry.Design/methodology/approachThe decomposed theory of planned behaviour (DTPB) model is investigated using responses from 200 investment professionals to an online survey on blockchain technology adoption, and partial least squares structural equation modelling using SmartPLS 3.0 is used to analyse the results.FindingsIn general, the results support a DTPB and offer the best fit to the data. This study may have significant drawbacks in predicting blockchain technology’s acceptance by investment professionals. Furthermore, the findings suggest that the research instruments used in this study, which engage users in business settings, are equally successful in the context of investment professionals.Research limitations/implicationsIn predicting blockchain acceptance by investing experts, this study may have significant drawbacks.Practical implicationsAs a result of TAM studies, it has been determined that perceived usefulness is more essential than perceived ease of use. Therefore, investment professionals may have discovered significant subjective normative impacts on behavioural intention. Management must devise techniques for implementing blockchain technology in digital financial services that are compatible with users’ workplaces.Originality/valueUsers may benefit from this research by concentrating on blockchain acceptance to improve digital banking services.

How to Reach and Influence Both Users and Non-users of Internal Social Media Technologies

This study investigates potential barriers and supporting factors for employees’ Internal Social Media (ISM) usage intention for not only users but also the harder to reach target group of non-users. Following and extending the Decomposed Theory of Planned Behavior (DTPB), it is assumed that ISM acceptance, superiors’ and peers’ support of ISM, superiors’ and peers’ usage of ISM, and the perceived ISM usage ability will explain employees’ usage intention. Multiple regression analyses revealed that users’ and non-users’ usage intention increases mostly with acceptance. Additionally, for users, peer usage support and behavior, as well as ISM Trainings showed to have an impact on usage intention.