Behavioral Intention Use Research Articles

Students Perspectives on Adopting E-portfolio Among Malaysian Polytechnic Students: Exploratory Factor Analysis

This pilot study examines students perspectives about electronic portfolio or e-portfolio and factors strongly associated with the use of e-portfolio by polytechnic students. Referring to the Technology Acceptance Model (TAM), five mains variables were involved which are Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Behavioral Intention To Use (BITU), Attitude Towards Use (ATU) and Actual Use (AU). The analysis includes descriptive analysis, internal consistency reliability analyses and the validation of the instruments was done using principal component analysis. The data used have been collected randomly from 100 students. Based on the pilot study, the results showed the reliability coefficient with Cronbach’s Alpha ranges from .792 to .912 which is above minimum requirement of .70 (Hair et al.,2010) and the mean value for each items is above 3.50 i.e for 5 point Likert scale. Meanwhile for instrument validation the result reporting the value of factor loading for each item is >.50, eigenvalue is above 50% of the total variance. This preliminary empirical study shows that e-portfolio can benefit students towards employability.

Exploring the Potential Factors Influencing the Adoption of M-Government Services in Saudi Arabia: A Qualitative Analysis

<p>In Saudi Arabia, Mobile government (m-government) is in its infancy. This study aims to explore potential factors influencing adoption of m-government services in Saudi Arabia to improve future implementation. The review of the relevant literature revealed a lack of research regarding the factors that may potentially influence the adoption m-government services in Saudi Arabia by using TAM model based on the perspective of experts in Yesser. To examine relationships between external factors and behavioural intention to use (BIU) in the TAM model, a qualitative study was conducted using semi-structured interviews with five experts from Yesser. Analysis demonstrated that the factors of trustworthiness, usage experience, awareness and security might influence the adoption of m-government services in Saudi Arabia. The results of the qualitative study also demonstrated that enjoyment does not influence the adoption of m-government services in Saudi Arabia. These findings may help decision makers in Saudi government to improve future implementation of m-government services.</p>

A secure framework for SMS-based service delivery in m-government using a multicast encryption scheme

The use of mobile devices has revolutionised the world. Their affordability, high availability and usage convenience could transform the current governance to mobile government. However, in literature, the existing m-government architecture in Africa does not adequately consider security in its feature. This paper proposes a framework for mobile government using SMS as a tool, which is considered affordable, reliable and secure for Nigerian government. The adoptable framework has four major components, namely: m-government administration, security/privacy, m-services and m-participation/trust. A secure platform for this SMS transmission based on multicast encryption system is presented with some policies to guide its adoption. A prototype of the proposed design is implemented on a peer-peer platform in order to display the uniqueness of the framework. To examine the readiness of the population for its adoption in Nigeria, this paper analyses the use of the technological acceptance model. Seventy questionnaires were administered to citizens, measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards usage (ATU) and behavioural intention to use (BIU) the mobile system. The results of the study indicated that citizens’ PEOU had a significant influence on ATU. Subsequently, PEOU had the strongest significant influence on PU. From data analysis, 95% of the respondents indicated a usability acceptance.

The behavioral intentions of Hong Kong primary teachers in adopting educational technology

The use of educational technology by Hong Kong primary school teachers has been realized by the government’s long-term support to the technology infrastructure, professional training, technical support, and development of teaching resources in local primary schools. However, the high adoption rate may not reflect the willingness of teachers to accept technology for educational purposes. Presently, there is no existing research investigating in-service primary teachers’ technology acceptance in Hong Kong. The aim of this study is to investigate teachers’ acceptance of technology and the influencing factors behind their acceptance. This study takes a quantitative approach to investigate 185 primary teachers in Hong Kong using Structural Equation Modeling on a customized Technology Acceptance Model. The results suggest that contrary to common belief, perceived ease of use and perceived usefulness of the technology have little influence on behavioral intention of use in our research context. Rather, a pragmatic consideration of facilitating conditions is found to be a strong dominating factor. A context-specific interpretation of the results is provided. Implications on school policy are also discussed to provide insights for the development of educational technology.

Implementing an educational program to increase preoperative screening for obstructive sleep apnea using the stop-bang questionnaire

<p><strong>Background:</strong> Obstructive sleep apnea (OSA) is a potentially fatal disease process that has been linked to higher rates of morbidity and mortality as well as increased perioperative complications. OSA is characterized by repetitive pauses in breathing during sleep. Greater than 92% of women and 82% of men who are plagued by moderate to severe sleep apnea are undiagnosed and may go unrecognized in the perioperative setting. The gap between a high prevalence of undiagnosed OSA in the adult population and the low level of clinical recognition has been well-documented. The term “STOP-BANG” is an acronym for eight independent elements predictive of OSA—three are OSA-related symptoms, three are physiological measurements, and two are patient characteristics.</p><p><strong>Methods:</strong> This project used a quasi-experimental design using a 16-question self-developed survey based on the technology acceptance model (TAM). Participants were asked to read an educational pamphlet on OSA and then complete the survey.</p><p><strong>Results:</strong> This study found strong evidence to suggest that among Certified Registered Nurse Anesthetists (CRNAs) and Student Registered Nurse Anesthetists (SRNAs), those with higher scores on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Attitude toward Use (AT), tend to have a higher Behavioral Intention to Use (BIU) the STOP-BANG screening tool.</p><p><strong>Conclusions:</strong> The results suggest that programs targeted at raising CRNAs’ and SRNAs’ PEOU, PU, and AT regarding the STOP-BANG questionnaire will culminate in increased use of the STOP-BANG screening tool. The use of this screening tool will detect patients previously unidentified as having OSA, and ultimately prevent perioperative complications associated with this disease.</p>

An investigation into e-learning acceptance and gender amongst final year students

Background: The use of electronic learning (e-learning) systems is gaining popularity especially within a Higher Education (HE) context. However, scholars have identified some factors that affect the utilisation and the acceptance of such systems, one of which is the gender divide, which favours mostly males ahead of females.Objectives: The objective of this study was to investigate the acceptance of the e-learning system within a South African HE setting, including the influential role of gender in the acceptance of such a system. Method: Quantitative data was collected through a cross-sectional survey using 113 registered final year students at a South African university who were making use of an e-learning system as part of their teaching delivery. The measuring instrument used was the technology acceptance instrument (TAI) and included measures of computer self-efficacy (CSE), perceived ease of use (PEU), perceived usefulness (PU), and behavioural intention to use (BIU). Results: The presence of a gender divide was found to exist in this study. Women’s ratings of the acceptance of e-learning systems were found to be slightly higher than those of the male respondents. In addition to this, elements of the TAI were found to be related to one another. Conclusion: The study concludes by arguing that lecturers and facilitators need to pay attention to usage patterns of e-learning systems as they affect how such systems are adopted by their students. Therefore, preceding student acceptance of electronic learning systems should be efforts to address any issues that affect the acceptance and effective utilisation of such systems.

Behavioral intention to use a virtual instrumental activities of daily living system among people with stroke.

The purpose of this study was to investigate the behavioral intention to use (BIU) regarding a virtual system for practicing instrumental activities of daily living (IADLs) among people with stroke. Fourteen people who had sustained a stroke used a virtual world-based system over four sessions to participate in virtual occupations of preparing meals and putting away groceries. To investigate intention to use the technology, participants responded to a questionnaire based on the Technology Acceptance Model and were interviewed about the experience. Analysis of questionnaire responses revealed favorable attitudes toward the technology and statistically significant correlations between these attitudes and positive BIU. Analysis of qualitative data revealed four themes to support system use: Use of the affected arm increased, the virtual practice was enjoyable, the technology was user-friendly, and the system reflected real-life activities. This study shows that participants reported a positive BIU for the virtual system for practicing IADLs.

A Study of EFL College Students’ Acceptance of Mobile Learning

Mobile devices with Internet applications have dramatically increased the convenience of accessing information for EFL college students in language learning. This study used Technology Acceptance Model as a theoretical framework to examine the factors related to Taiwanese EFL college students’ behavioral intention to use mobile English vocabulary learning resources. Data collected from the questionnaires of eighty four EFL tertiary level college students were analyzed by using correlation analyses and regression. Results showed that the participants’ behavioral intentions had high positive correlations with mobile devices’ compatibility, self-efficacy, perceived ease of use respectively. It had a moderate positive relationship with usefulness. Regression analyses showed that perceived usefulness, perceived ease of use, self-efficacy, and compatibility account for 71% of the variance explained in behavioral intentions to use mobile English vocabulary learning resources. Compatibility is the best predictor of users’ behavioral intention of use.

The Impact of Personality on Technology Acceptance: A Study on Smart Phone Users

This study aims to identify the impact of personality traits on technology acceptance of users. A field research is carried out on 401 university students to probe their technology acceptance behavior in the context of smart phones. Relationships between the five factor personality traits, perceived usefulness (PU), perceived ease of use (PEOU) and behavioral intention to use (BITU) the new product are examined. Data analyses revealed that some of the personality traits have significant effects on perceived usefulness and perceived ease of use, while the latter have significant effects on behavioral intention to use the product. Theoretical and managerial implications of the findings are discussed.

Analyzing Behaviors Influencing the Adoption of Online Games from the Perspective of Virtual Contact

In this study, we discussed the antecedents of online game adoption based on the technology acceptance model. A total of 303 valid questionnaires were collected and hypotheses were tested using structural equation modeling. Results showed that telepresence positively influences parasocial interaction, perceived usefulness (PU), perceived ease of use (PEU), and perceived playfulness (PP). Parasocial interaction was found to have a positive impact on subjective norms (SN), PU, and PP. In addition, SN positively influenced image (Im) and PEU positively influenced PU and PP. Finally, behavioral intention to use (BIU) online games was found to be positively affected by SN, PU, PEU, and PP.

Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system

<span>In recent years, instructors have had an increasing interest in integrating Internet based technologies into their classroom as part of the learning environment. Compared to studies on other information systems, student users' behaviour towards e-portfolios have not been assessed and thoroughly understood. This paper analyses the Technology Acceptance Model (TAM) in order to examine students' behavioural intention to use an electronic portfolio system, meaning how students use and appropriate it within the specific framework of a course. An E-Portfolio Usage Questionnaire was developed using existing scales from prior TAM instruments and modified where appropriate. Seventy-two participants completed the survey questionnaire measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards usage (ATU) and behavioural intention to use (BIU) the e-portfolio system. The results of the study indicated that students' perceived ease of use (PEOU) had a significant influence on attitude towards usage (ATU). Subsequently, perceived ease of use (PEOU) had the strongest significant influence on perceived usefulness (PU). The research further demonstrated that individual characteristics and technological factors may have a significant influence on instructors to adopt e-portfolio into their courses. Results suggest that TAM is a solid theoretical model where its validity can extend to an e-portfolio context.</span>

Predicting the behavioral intention to use enterprise resource planning systems

Purpose – The purpose of this paper is to examine various factors affecting users' behavioral intention to use (BIU) enterprise resource planning (ERP) systems, based on data from 75 potential end‐users of ERP systems.Design/methodology/approach – A survey methodology is used to gather data. The research model is constructed based on the findings of the previous studies.Findings – The results indicate that subjective norms, perceived usefulness (PU) and education level are determinants of BIU the system. In addition, PU affects attitude toward use, and both perceived ease of use (PEOU) and compatibility affect PU. In addition, among personal characteristics, education level has a significant effect on PEOU and behavioral intention. However, there is no significant relationship between attitude and behavioral intention.Research limitations/implications – As the sample is limited, the findings will require validation among other populations.Practical implications – This paper provides evidence that compatib...

Developing a User Centered Model for Ubiquitous Healthcare System Implementation

In the advent of pervasive computing technologies, the ubiquitous healthcare information system, or u-health system, has emerged as an innovative avenue for many healthcare management issues. Drawing upon practices in healthcare industry and conceptual developments in information systems research, this article aims to explain the latent relationships amongst user-oriented factors that lead to individual’s adoption of the new technology. Specifically, this study focuses on the introduction of chronic disease u-health system. Using the ordinary line square (OLS) regression analysis, we are able to discover the insights concerning which constructs affect service subscriber’s behavioral intention of use. Based on the data collected from over 440 respondents, empirical evidences are presented to support that factors such as medical conditions, perceived need, consumer behavior, and effort expectancy significantly influence the formation of usage intention.