Exploring students' awareness and perceptions: Influencing factors and individual differences driving m-learning adoption

This study investigates students' awareness and perceptions of m-learning and examines the factors affecting students' behavioral intention to adopt m-learning, by using a modified research model that integrate technology acceptance model (perceived usefulness and perceived ease of use) and unified theory of acceptance and use of technology (social influence) along with other factors (m-learning services and mobile limitations). In addition, control (gender, field of study, study level) and moderator variables (mobile capabilities, level of mobile usage, and frequent use of m-services) were introduced to verify the individual differences between respondents on the key factors affecting the adoption and usage of m-learning. Structural equations modeling and path analysis were used to test the hypotheses and the proposed model. The results revealed that perceived usefulness and perceived ease of use were found to be the primary factors driving students' intentions to use m-learning. Both m-learning services and social influence have positive effects on the acceptance of m-learning, while mobile limitations were found to be the main obstacle restraining students' participation in a m-learning environment. Most of the control variables yield no significant differences between students, but all the moderator variables were found to be significant determinants that can influence students to adopt m-learning. Overall, students have great potential to engage and integrate mobile technology into their educational environment.     

Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems

Understanding post adoption behavior has emerged as an important issue in IS research. Organizations have invested in a plethora of Information Systems (IS) and the benefits that can be gained from these systems depend on their usage. Prior research has examined factors that impact users’ intention to continue using the IS. However, comprehending post adoption IS usage behavior has not received much attention. Building on TAM and IS success model, this study proposes that information quality and system integration influence perceived IS usefulness which will then drive post adoption usage of the IS. Post adoption IS usage is conceptualized as a broad concept that includes extended usage and exploratory usage. Data (N = 1032) was collected to test the model, in the context of a web-based student information system that students use to manage their academic work. The results show that at the post adoption stage, perceived IS usefulness is a good predictor of extended usage and exploratory usage. However, surprisingly IS usefulness was found to explain a much larger variance in exploratory usage. Information quality and system integration were found to influence IS usefulness. However, information quality also has a direct affect on extended usage, while system integration directly influenced exploratory usage. Assessment of the moderating role of gender and internet experience on model relationships reveals interesting insights. Implications are drawn for future research and practice.     

Investigating mobile wireless technology adoption: An extension of the technology acceptance model

This research represents a theoretical extension of the Technology Acceptance Model (TAM), which IS researchers have used to explain technologies’ perceived usefulness and individuals intention to use it. The authors developed a model, referred to as the Mobile Wireless Technology Acceptance Model (MWTAM), to test the relationship between theoretical constructs spanning technological influence processes (Perceived Ubiquity, and Perceived Reachability) and cognitive influence processes (Job Relevance, Perceived Usefulness, and Perceived Ease of Use) and their impact on Behavioral Intention. MWTAM is assessed using data collected from an online survey and analyzed using AMOS 5.0. Results provide evidence to support MWTAM as both the technological and cognitive influence processes accounted for 58.7% of the variance explained in an individual’s Behavioral Intention toward using mobile wireless technology. Additionally, the path coefficients between constructs ranged from 0.241 to 0.572 providing further evidence to support the theoretical extension of TAM.

Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China

Unlike traditional technologies, the use of mobile technology is exposed to shifting use contexts. Use context has frequently been described as an important factor influencing the adoption of mobile innovations. However, empirical evidence about the impact of use context is limited. This paper investigated the effect of use context on the formation of users’ perceptions of mobile hedonic services by using mobile gaming as an example. Through the employment of structural equation modelling technology, an adoption model of mobile gaming is proposed and assessed based on results from 267 questionnaires. The results show that use context is the strongest predictor of mobile game adoption. It directly or indirectly affects all different perceptions of mobile gaming in significant ways, including perceived ease of use, perceived usefulness, perceived enjoyment, cognitive concentration, attitude and behavioral intention. Additionally, perceived usefulness, perceived enjoyment and cognitive concentration all have a positive influence on the attitudinal variables of mobile game acceptance. We concluded that the formation of people’s perceptions about mobile gaming is conditional and based on the special consideration of certain use contexts. Both theoretical and practical implications are discussed.     

An empirical study on m-learning adaptation: Learning performance and learning contexts

M-learning enables students to learn everywhere and at any time. But mobility also brings a new challenge. Students may now be constantly moving and the context from which they learn has to be adjusted dynamically. Therefore adaptation is becoming increasingly important when it comes to m-learning. This paper presents an empirical study to assess the learning performance and attitude of graduate students when they use an adaptive mobile system that tailors learning contents to their skills, their device and current context. Results suggest that mobile adaptation had a limited impact in learning performance of practical skills when compared to an e-learning approach. Information about the context of use of the mobile system was also collected and compared with traditional computer accesses. Results suggest that students learned in similar context independently of the way that they used to access learning contents. This may challenge current assumptions about the mobility of students.     

Remote health monitoring adoption model based on artificial neural networks

The purpose of this research is to utilize the adoption model of remote health monitoring established by artificial neural networks (ANNs). The adoption model by the naming is the healthcare information adoption model (HIAM) that it is created first time by myself. The HIAM focused on citizens in Taiwan as research subjects. The main research result showed that people’s perceived usefulness and benefits (PUB) must be raised in order to effectively increase the adoption of remote health monitoring. Moreover, this research has proved that the utilization of the adoption model of remote health monitoring established by ANN based on the HIAM is feasible. These findings may offer significant reference for subsequent studies.     

An analysis of the driving forces for Web services adoption

Web services are supported by major IT vendors and have been adopted by some enterprises in various applications. However, due to the hype surrounding Web services, information technology (IT) personnel and business managers often have difficulty assessing the potential uses, impacts, and benefits of Web services. Based on literature review and technical information, as well as field and Web-based case studies, we have developed a framework for analyzing the driving forces for Web services adoption. The framework and detailed benefits analysis model can be used by IT and business strategy planners to identify technical options and business opportunities, as well as to formulate Web services implementation strategies.     

An empirical investigation of anti-spyware software adoption: A multitheoretical perspective

We performed an empirical investigation of factors affecting an individual's decision to adopt anti-spyware software. Our results suggested that an individual's attitude, subjective norm, perceived behavioral control, and denial of responsibility significantly affected anti-spyware adoption intention. Also, relative advantage and compatibility showed a significant effect on attitude, visibility, and image on subjective norm, and trialability, self-efficacy, and computing capacity on perceived behavioral control. Interestingly, moral obligation, ease of use, and perceived cost were not as significant as was originally expected.     

Understanding e-learning continuance intention in the workplace: A self-determination theory perspective

Based on self-determination theory (SDT), this study proposed an extended Technology Acceptance Model (TAM) in the context of e-learning service. In the proposed model perceived usefulness, perceived playfulness and perceived ease of use are predicted to be influenced by perceived autonomy support, perceived competence and perceived relatedness. Although TAM has received fairly extensive attention in prior research, this study is one of the first to examine the effects of motivational factors affecting TAM constructs. The results show that applying SDT to e-learning in a work setting can be useful for predicting continuance intention.     

An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology

Understanding the drivers of technology adoption remains an important organizational problem. Our research focused on a personality trait that is relevant to the adoption of technological innovation: personal innovativeness in IT (PIIT). We examined the causal pathways by which this trait affects behavioral intention by testing three alternative models based on innovation diffusion theory, the theory of planned behavior, and an integrative perspective that combines them. Data were collected from 196 hospital administrators in South Korea. The target innovation was an e-commerce purchasing system. Testing across all three models resulted in complete mediation, indicating that PIIT is a strong predictor of intended use of IT but it exerts its influence by altering the mediators. Our integrative perspective provides a more complete account of the causal mechanisms underlying the relationships as well as unique insights that cannot be obtained with a single theory driven model.     

Exploring the impact of individualism and uncertainty avoidance in Web-based electronic learning: An empirical analysis in European higher education

Our research specifically focuses on the effects of the national cultural background of educators on the acceptance and usage of ICT, particularly the Web as an extensive and expanding information base that provides the ultimate in resource-rich learning. Most research has been used North Americans as subjects. For this reason, we interviewed European educators from diverse cultures; in particularly, we analysed the cultural differences and their moderating effects on acceptance-based relationships between European universities: European Nordic culture in contrast to European-Mediterranean culture.     

Computer attitude,statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners

Educators need to know how to motivate business students (i.e., future business practitioners) to learn and use statistical software, which can provide the practical skills necessary for business professionals to analyze data and make informed decisions. Using a sample of 207 online MBA students from an AACSB accredited university in the Midwest, a modified TAM model was examined using LISREL 8.80. The empirical results show that both computer attitude and statistical software self-efficacy have significant, positive effects on perceived usefulness. In addition, it was found that both perceived usefulness and perceived ease of use positively influence learners’ intentions to use statistical software, whereas their anxiety with statistics has a significant, negative impact on perceived usefulness, perceived ease of use and behavioral intentions. Both theoretical and practical implications are discussed in this paper.     

An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study

While on-line tax is considered as a special type of e-service, the adoption rate of this service in Taiwan is still relatively low. The initial adoption of on-line tax is the important driving force to further influence the use and continued use of this service. The model of Trust and technology acceptance model (TAM) in Gefen et al. (2003a, MIS Quarterly 27(1), 51–90) has been well studied in on-line shopping and showed that understanding both the Internet technology and trust issue is important in determining behavioral intention to use. Besides, the diffusion of on-line tax could also be influenced by the potential antecedents such as individuals, organizational members, and social system while the issue for innovative technology is well discussed in Rogers (1995, The Diffusion of Innovation, fourth ed. Free Press, New York). Theory of planned behavior (TPB) is the model widely used to discuss the effect of these antecedents in behavioral intention. An extension of Trust and TAM model with TPB would be in more comprehensive manner to understand behavioral intention to use on-line tax. Furthermore, a large sample survey is used to empirically examine this framework.     

Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

Many factors influence the adoption of cloud computing. Organizations must systematically evaluate these factors before deciding to adopt cloud-based solutions. To assess the determinants that influence the adoption of cloud computing, we develop a research model based on the innovation characteristics from the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework. Data collected from 369 firms in Portugal are used to test the related hypotheses. The study also investigates the determinants of cloud-computing adoption in the manufacturing and services sectors.     

Healthcare Technology Self-Efficacy (HTSE) and its influence on individual attitude: An empirical study

Previous research on technology acceptance and adoption has established perceived self-efficacy as an important factor influencing user acceptance of information technologies. However, research on self-efficacy perceptions and its effect on user attitude in the context of health technologies is limited. This study identifies three self-efficacy factors that may be important for shaping individual attitude toward healthcare technologies. This research proposes a new context-specific self-efficacy factor, Healthcare Technology Self-Efficacy (HTSE) and a conceptual model incorporating HTSE and two existing self-efficacy factors, General Self-Efficacy (GSE) and Computer Self-Efficacy (CSE). The conceptual model is validated using a survey of 314 participants. We found that HTSE has a positive influence on attitude toward the use of health technologies. We also found that two existing self-efficacy constructs (GSE and CSE) have positive relationships with HTSE. However these two factors did not have any significant influence on attitude toward health technology use, contrary to our expectations. Rather, HTSE mediates the relationships between GSE and attitude and the relationship between CSE and attitude in the context of health technology use behavior. The results of this study have important implications for both research and practice in the healthcare technology domain.     

Consumer adoption of mobile TV: Examining psychological flow and media content

Mobile TV service, which provides television-like content through a mobile device, holds a limelight as the next killer application of wireless technologies and also as a prospective hedonic information technology. However, in a world where other potential wireless technologies and services speedily emerge, vendors and service providers interested in mobile TV hope that it will be diffused over the gulf between early users to general ones prior to competing sprouts. At this point, an investigation of early consumers’ adoption of mobile TV may offer precious information for its survival. Based on the theoretical assumptions of the technology acceptance model (TAM), this study examines influences of cognitive concentration (or flow experience) and media content on consumers’ acceptance of mobile TV. The results are threefold. First, results suggest that cognitive concentration (or flow experience) and content have a significant role in consumers’ intention to use hedonic information technology. Second, results show that content has a critical impact on cognitive concentration. Finally, results support the use of the extended TAM as an explainer in the context of hedonic information technology.     

Exploring the effects of direct experience on IT use: An organizational field study

Empirical studies have investigated the effect of attitude and behavior on IT acceptance in organizations but yielded ambiguous results. Possibly they have not effectively accounted for the moderating effects of experience gained through direct interaction with the target technology. We examined the moderating effect of the length of direct experience on IT acceptance relationships and constructs. Using multi-group invariance analysis, we demonstrated that relationships between key IT acceptance constructs differed, depending on the user's experience. The incorporation of direct experience can lead to convergent results and contribute to further understanding of the process. We discuss some implications from the knowledge that IT use is a dynamic process and suggest that IT management must account for direct experience in their decision making.     

An empirical investigation of mobile ticketing service adoption in public transportation

In this paper, we present results from a study of mobile ticketing service adoption in public transportation. The theoretical background of the study is based on technology adoption and trust theories, which are augmented with concepts of mobile use context and mobility. Our empirical findings from analyses of a survey data suggest that compatibility of the mobile ticketing service with consumer behavior is a major determinant of adoption. Mobility and contextual factors, including budget constraints, availability of other alternatives, and time pressure in the service use situation were also found to have a strong effect on the adoption decision. Our findings suggest that contextual and mobile service-specific features are important determinants of mobile service adoption and should thus be integrated into the traditional adoption models.     

Technology acceptance model for the use of information technology in universities

The problem described in this research is to identify which factors influence on engineering students about their acceptance of an academic administrative information system in private universities in Lima, Peru. The objective is to identify factors by proposing a Technology Acceptance Model of an Academic and Administrative Information System. University population is described, both private and public. The investigation is based on two private universities. The results show the relationship between the selected variables. Finally, recommendations are given to act on the variables that determine the acceptance of information technology.     

Classification of RFID adoption: An expected benefits approach

While expected benefits have been seen as one of the main drivers of RFID adoption, there is little understanding of what benefits should be considered when exploring RFID adoption. Further, the relationships between expected benefits and the type of adoption has not been systematically delineated. We identified cost savings, supply chain visibility, and new process creation as the three key benefits of RFID adoption and then identified the “scale” and “scope” of RFID implementation as the key dimensions of RFID adoption. Based on these, we proposed a four-category classification for the type of RFID adoption. Finally we showed how the three expected benefits are associated with the scale and scope of adoption. In particular, the findings highlighted the significant potential of RFID when it is integrated with other technologies such as global positioning or product life cycle management systems. Under various situations, a firm may perceive different benefits and value some benefits more than the others; this combination leads the firm to choose a certain type of RFID application. The model was validated using secondary case data from seven organizations that had adopted RFID.