Decomposed Theory Of Planned Behavior Research Articles

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.

Determinants of intention to use e-government services: An integrated marketing relation view

The E-government development index (2020) for the southern Asian region is below the world average, with Pakistan placing seventh out of eight nations. Although Pakistan's government developed the Electronic Government Directorate (EGD) in 2005, the country's adoption rate of e-government services is extremely low. This research aimed to expand the decomposed theory of planned behavior (DTPB), which is based on the Unified Model of electronic government adoption (UMEGA), to more comprehensively understand the determinants of e-government adoption behaviour among 396 citizens in Pakistan. The extension is implemented by adding the impact of relational bonds (economic, social and structural) on trust. The findings show that the following four factors have a significant effect on citizens intention to adopt e-government services: (a) attitude, (b) subjective norm, (c) perceived behaviour control (d) trust. These four factors are predicted by effort expectancy and performance expectancy, mass media influence and family influence, self-efficacy, economic, structural and social bonds, respectively. Furthermore, this research validates the applicability of the DTPB model and demonstrates that the extended DTPB model, which is based on the UMEGA model, has excellent predictive power in understanding citizens intention to adopt e-government services. Based on these findings, implications for policymakers and recommendations for further future research are offered.

İNGİLİZCE ÖĞRETMENLERİNİN WEB 2.0 ARAÇLARINA YÖNELİK ÖZYETERLİK İNANÇ VE TUTUMLARI

Web 2.0 technologies have increased the importance of foreign languages in recent years. Teachers are expected to encourage students to use these tools, which can be easily included in many of the activities done in the classroom. Therefore, the present study aims to investigate EFL teachers’ self-efficacy beliefs and attitudes towards Web 2.0 tools. The mixed method design including the quantitative and qualitative data was utilized. The data was collected from 202 EFL teachers from 183 different public schools in Diyarbakır-Turkey. The quantitative data was gathered through a questionnaire consisting of four parts including demographic information, Web 2.0 Tools Integration Instrument (W2TII), Web 2.0 Tools Integration Self-Efficacy Instrument (WTISEI), and the Decomposed Theory of Planned Behaviour (DTPB) Model to Measure Attitudes. In the qualitative data collection phase, a set of semi-structured interview questions developed by Farah (2011) were used to gather data in considerable detail from the 10 volunteer teachers of English. The data was analysed through SPSS edition 24.0 program and content analysis. The findings unveiled that there was not any significant difference between the self-efficacy beliefs, attitudes of the EFL teachers and their Web 2.0 tools usage according to the demographic variables. However, the results revealed a significant difference between self-efficacy and attitudes of the EFL teachers towards the Web 2.0 tools.

Working Adults' Intentions to Participate in Microlearning: Assessing for Measurement Invariance and Structural Invariance.

The current study set out to understand the factors that explain working adults' microlearning usage intentions using the Decomposed Theory of Planned Behaviour (DTPB). Specifically, the authors were interested in differences, if any, in the factors that explained microlearning acceptance across gender, age and proficiency in technology. 628 working adults gave their responses to a 46-item, self-rated, 5-point Likert scale developed to measure 12 constructs of the DTPB model. Results of this study revealed that a 12-factor model was valid in explaining microlearning usage intentions of all working adults, regardless of demographic differences. Tests for measurement invariance showed support for invariance in model structure (configural invariance), factor loadings (metric invariance), item intercepts (scalar invariance), and item residuals (strict invariance) between males and females, between working adults below 40 years and above 40 years, and between working adults with lower technology proficiency and higher technology proficiency levels. While measurement invariance existed in the data, structural invariance was only found across gender, not age and technology proficiency. We then assessed latent mean differences and structural path differences across groups. Our findings suggest that a tailored approach to encourage the use of microlearning is needed to suit different demographics of working adults. The current study discusses the implications of the findings on the use and adoption of microlearning and proposes future research possibilities.