Social cognitive theory in mobile banking innovations

This paper examines the behavior Australian youths have toward mobile banking. Social cognitive theory is the theoretical framework in which a conceptual model is empirically tested. The conceptual model includes five constructs (media, modeling, outcome expectancy, learning orientation and entrepreneurial orientation), which are proposed to influence an individual’s intention to adopt mobile banking. The conceptual model is tested in a sample of Australian youths and the analysis supports a portion of the proposed conceptual model. The findings support the link between the media and an individual’s entrepreneurial orientation with their intention to adopt mobile banking. The paper demonstrates how social cognitive theory is a useful foundation to understand the external and internal stimuli that influence an individual’s desire to adopt mobile banking.

Mobile banking innovations and entrepreneurial adoption decisions

This paper examines an individual’s entrepreneurial adoption decisions to use mobile banking for both business and social reasons. A conceptual model based on social cognitive theory is developed to explain an individual’s propensity to adopt mobile banking. The theoretical framework examines how advertising, experience, perceived risk, learning inclination, and entrepreneurial proclivity influence a person’s intention to use mobile banking. This paper stresses the role of financial risk in determining a person’s intention to use mobile banking and whether their entrepreneurial nature is influenced by their experience and advertising they are subjected to about the advantages or disadvantages of mobile banking. This paper ties together research on technological innovation with entrepreneurship and learning studies. The author stresses the importance for financial institutions to market the innovativeness of mobile banking whilst addressing security concerns. The impact of a person’s social environment through personal contacts and acquaintances underpins social cognitive theory and helps to understand the motives for a person adopting mobile banking. The paper integrates mobile banking literature with current thinking on the importance of entrepreneurship and learning influences to how a person adopts a technological innovation.

Understanding the context of distance students : differences in on- and off-campus engagement with an online learning environment

 While a growing number of higher education institutions are providing online modes of study for both on- and off-campus students, there are very real differences in demography, technology experiences, reasons for study, etc. between on- and off-campus students, and research into engagement with online learning environments (OLEs) indicate differences in the way that on- and off-campus students interact with OLEs. In Australia, Deakin University is a major provider of distance and online education, and provides a case study of a higher education institution with a mature and large-scale OLE implementation providing support to both on- and off-campus students. Deakin Studies Online (DSO) is Deakin University’s OLE. Based on a representative sample of 1322 responses to the 2011 DSO evaluation survey, this paper presents a large-scale, up-to-date and fine-grained investigation of impact of mode of study on the student experience of using an OLE. It was found that the primary place of access to DSO for both groups was home, mobile access to DSO seems likely to be of growing importance to both groups, and there was no statistically significant difference in the mean satisfaction ratings between on- and off-campus students for virtually all DSO functions. Off-campus students gave significantly higher mean ratings of importance (though not satisfaction) to a range of DSO functions that could be viewed as ‘value adders’ by off-campus students, enhancing their overall learning experience. For more than half of the DSO functions surveyed, on-campus students reported statistically significant higher mean frequency of access than off-campus students. The finding that elements of the institutional OLE are not universally perceived and used the same way by all students groups challenges the value of standard, one-size-fits-all institutional policies and templates relating to the use of OLEs.

Entrepreneurship, e-finance and mobile banking

This paper focuses on the role of entrepreneurship and e-finance in determining a person's intention to adopt mobile banking. The approach utilised in this paper is to develop a conceptual framework that includes a number of propositions that are developed and justified by the literature. The main findings of this paper are that people's entrepreneurial inclination and learning tendency will determine how they respond to marketing and knowledge about mobile banking. The practical implications are that financial institutions involved in e-finance can focus their marketing efforts at increasing people's exposure to mobile banking.

The social network virtual design studio : integrated design learning using blended learning environments

Online communications, multimedia, mobile computing and face-to-face learning create blended learning environments to which some Virtual Design Studios (VDS) have reacted to. Social Networks (SN), as instruments for communication, have provided a potentially fruitful operative base for VDS. These technologies transfer communication, leadership, democratic interaction, teamwork, social engagement and responsibility away from the design tutors to the participants. The implementation of Social Network VDS (SNVDS) moved the VDS beyond its conventional realm and enabled students to develop architectural design that is embedded into a community of learners and expertise both online and offline. Problem-based learning (PBL) becomes an iterative and reflexive process facilitating deep learning. The paper discusses details of the SNVDS, its pedagogical implications to PBL, and presents how the SNVDS is successful in enabling architectural students to collaborate and communicate design proposals that integrate a variety of skills, deep learning, knowledge and construction with a rich learning experience.

Mobile technology platforms for flexible access to information resources : considerations in the use of ebook readers, smart phones, netbooks and iPads

Smart phones are everywhere, people are taking eBook readers on holiday, the iPad has queues of people wanting to buy one, and some netbooks can fit in a pocket. The technology is attractive and increasingly affordable – how can it help an individual in their access to and use of texts, journals, databases, clinical sources, the web and day-to-day information? The Library has been investigating and trialling mobile devices during 2010, and has received interesting feedback from staff and students on the effectiveness of the technology in the University and personal environments. Each device has its strengths and weaknesses depending on the needs of the individual or activity it is supporting – productivity, research, study, clinical or recreational. The presentation will explore these issues along with some of the practical implications at Deakin, and international experiences in academic environments.

Mobile phone-based audience response system and student engagement in large-group teaching

Engaging students in large classes is a challenge at the best of times. Teachers are increasingly seeking the help of new technology to keep the attention of their technologically savvy students. VotApedia, a free cell phone-based audience response system, is one such technology. This research aims to assess economics students' perceptions of use of VotApedia in helping to achieve deeper learning; to map importance of use of audience response technology for students in promoting engagement and to assess the promotion of a positive and active environment in lectures by use of VotApedia in an Australian University. Using the framework of activity theory, it argues that technologies such as VotApedia use positive feedback loops to facilitate improved student engagement and learning.

Blending student technology experiences in formal and informal learning

In this article, we discuss the importance of recognizing students' technology-enhanced informal learning experiences and develop pedagogies to connect students' formal and informal learning experiences, in order to meet the demands of the knowledge society. The Mobile-Blended Collaborative Learning model is proposed as a framework to bridge the gap between formal and informal learning and blend them together to form a portable, flexible, collaborative and creative learning environment. Using this model, three categories of mobile application tools, namely tools for collaboration, tools for coordination and tools for communication, have been identified as pertinent in blending formal and informal learning, and they can be connected seamlessly to provide an effective learning mechanism to support the learning process.

iTeach we learn via mobile apps : "a case study in a business course"

Mobile smart phones and Mobile applications (apps) can be seen as an added opportunity for education and for teachers in particular, this can be true if educational institutions are willing to enable this type of delivery mechanism. With the recent development of app technologies in today’s society and the shift towards mobile technologies (devices and applications), it seems hard to imagine better devices and tools that can grant students easy and on demand access to learning content. These smart devices and technologies are multitasking and can offer variety of educational apps that teachers and students are able to integrate into their daily learning activities and can carry with them anywhere. In this paper mobile apps and their integration in education are discussed, a case study on the use of three mobile apps (e-Lecture-Producer, Dropbox and QR Code) in an educational setting in a Business e-commerce course is described. Results and outcomes are discussed based on the results from the case study.

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impact the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network, and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impacted the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network; and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.

Environment mapping for mobile robots navigation using hierarchical neural network and omnivision

Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial neural networks in order to use them in the system of mapping and localization of the mobile robot of Laboratory of Automation and Evolutive Computer (LACE). To do this, the robot uses a sensorial system composed for ultrasound sensors and a catadioptric vision system formed by a camera and a conical mirror. The mapping system is composed by three modules. Two of them will be presented in this paper: the classifier and the characterizer module. The first module uses a hierarchical neural network to do the classification; the second uses techiniques of extraction of attributes of images and recognition of invariant patterns extracted from the places images set. The neural network of the classifier module is structured in two layers, reason and intuition, and is trained to classify each place explored for the robot amongst four predefine classes. The final result of the exploration is the construction of a topological map of the explored environment. Results gotten through the simulation of the both modules of the mapping system will be presented in this paper. © 2008 IEEE.

An evolutionary approach to improve connectivity prediction in mobile wireless sensor networks

Connectivity is the basic factor for the proper operation of any wireless network. In a mobile wireless sensor network it is a challenge for applications and protocols to deal with connectivity problems, as links might get up and down frequently. In these scenarios, having knowledge of the node remaining connectivity time could both improve the performance of the protocols (e.g. handoff mechanisms) and save possible scarce nodes resources (CPU, bandwidth, and energy) by preventing unfruitful transmissions. The current paper provides a solution called Genetic Machine Learning Algorithm (GMLA) to forecast the remainder connectivity time in mobile environments. It consists in combining Classifier Systems with a Markov chain model of the RF link quality. The main advantage of using an evolutionary approach is that the Markov model parameters can be discovered on-the-fly, making it possible to cope with unknown environments and mobility patterns. Simulation results show that the proposal is a very suitable solution, as it overcomes the performance obtained by similar approaches.