Factors driving the adoption of m-learning: An empirical study

Even if m-learning is spreading rapidly in many regions of the world, research addressing the driving factors of m-learning adoption is in short supply. Built on the Technology Acceptance Model, this paper proposes a hypothesized model of m-learning adoption. Employing structural equation modeling technology, the model was assessed based on the data collected from 230 participants using a survey questionnaire. Results indicate that perceived near-term/long-term usefulness and personal innovativeness have significant influence on m-learning adoption intention, while perceived long-term usefulness significantly affects the perceived near-term usefulness. Personal innovativeness is a predictor of both the perceived ease of use and perceived long-term usefulness as well. Of all variables, the perceived long-term usefulness contributes to the most influential predictor of m-learning adoption. The model accounts for approximately 60.8% of the variance of behavioural intention. The results indicted that offing high-quality contents complying with students’ future targets is key to the success of m-learning in China. Both theoretical and practical implications are discussed.     

Internet anxiety: An empirical study of the effects of personality,beliefs, and social support

We examined sources of Internet anxiety; specifically modeling the ties from broad dispositional traits (computer anxiety, computer self-efficacy, and personal innovativeness with IT), beliefs about the work environment (about the adequacy of resources and trust in technology), and two forms of social support for IT (leader and peer support) to individuals’ anxiety about using Internet applications. We tested our model using respondents who participated in virtual teams during a 16-week period. Our findings suggested that Internet anxiety was affected both by the users’ personality and by beliefs that can be influenced by providing adequate resources to support the technology, encourage trust in technology, and working to assure users that leaders and peers are supportive of their using the technology. Our findings suggest that by providing appropriate resources and fostering a supportive environment, leaders could reduce Internet anxiety and thus influence the use of technology in the workplace in ways that benefit organizations.     

Computer phobia and computer self-efficacy: their association with undergraduates’ use of university computer facilities

Extensive development in universities’ provision of computer facilities may have negative consequences for students prone to computer avoidance. In the present study, undergraduates (N = 363) completed self-report measures on computer phobia and self-efficacy. Results demonstrate that many students follow previous trends by continuing to report levels of computer phobia within the higher parameters of self-report measures. Students who reported either high computer phobia or low computer self-efficacy were less likely to maximise their use of university computer facilities. Moreover, a range of background measures – initial computer experience, regular home use, successful completion of a computer course and introductory tutor’s characteristics – all impacted statistically on self-report responses. Results are discussed with reference to the increasing responsibility placed on students to acquire ICT skills.     

Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety

The exploration of online customer satisfaction (called e-satisfaction hereafter) and repurchase becomes increasingly important in e-commerce. Yet, the process of e-satisfaction and repurchase formation and the context under which this process may vary have not been investigated rigorously. In order to fill this knowledge gap, this paper attempts to develop a conceptual model to decipher how e-satisfaction is formed. Furthermore, it investigates how computer-related individual differences such as computer self-efficacy and computer anxiety moderate this formation. The analysis results from a survey of 274 online buyers confirm that our antecedents play key roles in forming e-satisfaction and repurchase and the proposed moderators are important.     

Behavioral aspects of enterprise systems adoption: An empirical study on cultural factors

Recently, behavioral aspects of enterprise systems have been called to investigate further in the information systems (IS) community. The purpose of this paper is to apply individual-level measurement of cultural orientation, such as power distance and uncertainty avoidance, to the recent findings of computer self-efficacy and ERP adoption belief, such as perceived ease of use, based on the survey of 101 ERP system experts. An online survey methodology is used to gather data from the various industrial fields. The research model is constructed based on the findings of the previous studies in IS, management, and cultural psychology. The results indicate that low power distance and high uncertainty avoidance cultural orientation influence general CSE. In addition, uncertainty avoidance positively influences ease of use of ERP systems. As expected, general CSE positively influences ease of use of ERP systems. Training and managerial interventions through communication to improve these cultural orientations would be effective for the successful ERP systems project. The findings of this research would be helpful to the project managers, IS researchers, and ERP practitioners who want to understand the behavioral aspects of ERP systems adoption in the organization.     

Open source software: The effects of training on acceptance

Open Source Software (OSS) is an alternative to proprietary software. It is growing in popularity, which has brought about an increase in research interest. Most of the research studies have focused on identifying individual personal motives for participating in the development of an OSS project, analyzing specific solutions, or the OSS movement, itself. No studies have been found which have undertaken research on the impact of user experience and training on OSS. The study reported here sought to identify factors that predict acceptance of technologies based on OSS after training in these solutions. A research model based on the Technology Acceptance Model (Davis, 1989) was developed. Furthermore, the possible moderating effects of users’ gender, age and level of education were analyzed. It was found that external determinants such as user training, user fit, technological complexity and trainers’ support were important indicators in the success of adopting these solutions.     

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.     

Computer training, frequency of usage and burnout: the moderating role of computer self-efficacy

The main aim of this paper is to test the moderating role of computer self-efficacy in the relationship among computer training, frequency of usage and burnout (i.e. exhaustion and cynicism). The sample was made up of 140 workers using computer-aided technology in their jobs. Hierarchical multiple regression analyses were carried out. Results show that frequency of usage and computer training are positively associated with computer self-efficacy. Futhermore, we found interaction effects between computer training×computer self-efficacy on both indicators of burnout as outcomes. Computer self-efficacy moderated the relationship between computer training and burnout. Limitations of the study and practical implications of these findings are discussed.     

Computer anxiety: A cross-cultural comparative study of Dutch and Turkish university students

The purpose of this study is to determine Dutch and Turkish university students’ computer anxiety levels and to find out whether their computer anxiety levels differ according to their culture, gender and computer experience (i.e., personal computer (PC) ownership, computer usage frequency, computer usage level). A total of 106 university students (30 Dutch female, 22 Dutch male, 26 Turkish female, 28 Turkish male) participated in this research. The data were collected through computer anxiety rating scale (CARS) validated by Heinssen et al. [Heinssen, R. K., Glass, C. R., & Knight, L. A. (1987). Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3, 49–59]. The data were analyzed by t-test and one-way-analysis of variance (ANOVA). The results indicated that the Turkish students have significantly higher computer anxiety levels than the Dutch students. The students’ computer anxiety levels do not differ depending on gender. However, post-hoc analysis revealed that the Turkish female students have significantly higher computer anxiety levels than the Dutch female and Dutch male students. Also, results indicated that while the students’ computer experience increase their computer anxiety levels decrease significantly.     

Antecedents of computer self-efficacy: A study of the role of personality traits and gender

Empirical evidence suggests that computer self-efficacy plays an important role in one’s acceptance and use of new information technology. Little is however known about the antecedents of computer self-efficacy. This paper reports on a study of 143 non-users of a self-checkout library system available at a large Canadian university which was conducted to investigate the relationships between stable personality traits and gender with computer self-efficacy. Results indicate that four of the five stable personality traits, as measured by the Big-5 factors of personality, contribute to explain computer self-efficacy. Taking gender into account, results show that the traits of neuroticism, extraversion, and agreeableness are significantly related to computer self-efficacy for women but not for men. Implications for research and practice are discussed.     

Predicting consumer intentions to shop online: An empirical test of competing theories

The proliferation of commercial Web sites providing consumers with a new medium to purchase products and services has increased the importance of understanding the determinants of consumer intentions to shop online. This study compared the technology acceptance model and two variations of the theory of planned behavior to examine which model best helps to predict consumer intentions to shop online. Data were gathered from 297 Taiwanese customers of online bookstores, and structural equation modeling was used to compare the three models in terms of overall model fit, explanatory power and path significance. Decomposing the belief structures in the theory of planned behavior moderately increased explanatory power for behavioral intention. The results also indicate that the decomposed theory of planned behavior provides an improved method of predicting consumer intentions to shop online. Finally, the implications of this study are discussed.     

Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM

This paper reported the results of a survey study and provided evidences of empirically testing a model that integrates both technology acceptance model (TAM) and task-technology fit (TTF) model in understanding the determinants of users’ intention to use wireless technology in organizations. Questionnaires were distributed to organizations that bring mobile commerce into practice through the wireless handheld devices. The results indicated that both technology acceptance model and task-technology fit model are robust models by themselves. First, both perceived usefulness and ease of use significantly influence users’ behavior intention to utilize wireless technology. Perceived ease of use has significant effect on perceived usefulness. Second, characteristics of technology and task significantly predict the fit between these two constructs. Significant effect of characteristics of technology on perceived ease of use and usefulness were observed. Finally, significant relationships between TAM and TTF model were also observed. Task-technology fit is a significant direct predictor of technology adoption intention. Overall, users’ intention to adopt wireless technology in organizations was determined directly by fit between characteristics of task and technology as well as users’ perceived ease of use and usefulness.     

Computer anxiety and anger: the impact of computer use, computer experience, and self-efficacy beliefs

Past research has demonstrated that the level of computer experience users have is the most valuable predictor in whether or not they will suffer computer anxiety symptoms, but this was not the case in the present study. No research was found which examined the correlates of computer anger symptoms. In the current study, the relationship between the computer use (frequency and duration), computer experience, and self-efficacy beliefs of users were analyzed as predictors for computer anxiety and anger symptoms. Questionnaire data from a sample of 242 university students were analyzed. The results indicated that computer self-efficacy beliefs, not computer experience or use, had the largest significant relationship with both computer anxiety, and anger. It is suggested that self-efficacy beliefs be increased so that users may experience lower levels of anxiety and anger. These findings are contrary to the trend of training computer users in specific computer domains. As computer anxiety and anger are negative psychological “states”, an immediate method to deal with these negative emotions should be developed. One possibility that is explored is the application of computer-based therapy that can be used while a user is experiencing negative emotional symptoms.     

Creative self-efficacy and its factors: An empirical study of information system analysts and programmers

Based on a survey of 94 information systems developers, this study explored how personal factors (i.e. computer self-efficacy and domain-specific information technology skills), contextual factors (i.e. strength of ties and degree centrality) and creative self-efficacy are related. Regression analysis results demonstrate that system analysts and programmers differ in terms of influencing factors on creative self-efficacy. Domain-specific skills were the main influence in the system analyst model, followed by degree centrality. In comparison, degree centrality was the only influence in the programmer model. Degree centrality exerted a negative influence in both groups. Additionally, among system analysts, the strength of ties slightly influenced creative self-efficacy, while computer self-efficiency and domain-specific information technology skills exerted only small influences on programmers.     

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.     

An empirical study of the effect of complexity, platform, and program type on software development effort of business applications

Several popular cost estimation models like COCOMO and function points use adjustment variables, such as software complexity and platform, to modify original estimates and arrive at final estimates. Using data on 666 programs from 15 software projects, this study empirically tests a research model that studies the influence of three adjustment variables—software complexity, computer platform, and program type (batch or online programs) on software effort. The results confirm that all the three adjustment variables have a significant effect on effort. Further, multiple comparison of means also points to two other results for the data examined. Batch programs involve significantly higher software effort than online programs. Programs rated as complex have significantly higher effort than programs rated as average.     

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.     

User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure

The aim of this paper is to empirically examine how individual characteristics affect user acceptance of context-aware services such as GPS-based telematics systems and location-based commerce, which together have become highly promising fields for mobile or ubiquitous e-commerce. To examine these individual characteristics, we applied a technology acceptance model to construct an amended model that focuses on three individual differences: self-efficacy, personal innovativeness and perceived sensitivity on contextual pressure. As a result, we discovered that the perceived sensitivity on contextual pressure, which is newly adopted as a construct in this paper, affects behavioural intention in using context-aware services.     

User acceptance of context-aware services: self-efficacy,user innovativeness and perceived sensitivity on contextual pressure

The aim of this paper is to empirically examine how individual characteristics affect user acceptance of context-aware services such as GPS-based telematics systems and location-based commerce, which together have become highly promising fields for mobile or ubiquitous e-commerce. To examine these individual characteristics, we applied a technology acceptance model to construct an amended model that focuses on three individual differences: self-efficacy, personal innovativeness and perceived sensitivity on contextual pressure. As a result, we discovered that the perceived sensitivity on contextual pressure, which is newly adopted as a construct in this paper, affects behavioural intention in using context-aware services.     

Perceived usefulness,user involvement and behavioral intention: an empirical study of ERP implementation

Many firms have implemented enterprise resource planning (ERP) systems in the past few years. The expensive nature of these systems requires that effective usage of these systems be attained in order for an organization to derive the expected benefits from the technology. This study looks at the influence that perceived usefulness, user involvement, argument for change, prior usage and ease of use have on the behavioral intention to use an ERP system. A mail survey was used to collect data in an organization that was implementing an ERP system. A total of 571 responses were obtained. The results indicate that users perception of the perceived usefulness, ease of use of the technology, and the users’ level of intrinsic involvement all affect their intention to use the technology. The results seem to suggest that managerial efforts aimed at increasing the users’ perceptions of the usefulness and personal relevance of the technology will contribute to implementation success, where success is defined as effectual usage of the technology. The paper ends with possible extensions to this study.