A conceptual framework for measuring the acceptance of pervasive learning

The technological innovation and advancements in smart phones and wireless communication have reformed learning techniques such as Pervasive Learning (P-learning), Mobile Learning (m learning) and Electronic Learning (e-learning). P learning is the new form of innovative technologies for learning that occurs at the user’s will at anywhere, anytime and with any mobile or handheld devices.Students using P-learning can overcome the obstacles such as poor facilities in the classroom, gender, cultural and religious barriers, hectic personal and professional lives by providing flexibility and more than one medium for learning.This research is intended to study the specific factors influencing students as to whether accept and use these new technologies (P-learning).This study extends the existing research on Technology Acceptance Model (TAM) and will develop an integrated model of P-learning acceptance.It is also expected that this research study will help provide strategies for educators in the development and implementation of courses designed to integrate technology. This study employs mixed research methods for triangulation to get the desired research results.The data for this research is collected through focus group and a cross sectional questionnaire survey

Factors affecting the acceptance of mobile commerce in Pakistan

Information and Communication Technology (ICT) tools have enabled traditional bricks-and-mortar businesses into electronic business (E-businesses) and also Mobile Commerce (Mcommerce). In recent past M-commerce has emerged and set new trends in commerce and business market. M-commerce has become attractive choice for consumers and retailers to facilitate and conduct business activities through mobile handheld devices. M-commerce usage in developed countries such as USA, UK, Australia and other technologically advanced countries has been accepted at large scale. However, Mcommerce still seems to take very slow pace in developing economies such as Pakistan, where its acceptance is quite low. The aim of this study is to investigate and identify the significant factors that affect consumers’ ‘behavioural intention’ to accept M-commerce in Pakistan. A model is proposed in this research to measure ‘behavioural intention’ to use M-commerce in Pakistan. In this research, variables such as Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, Cost, Risk, Compatibility, Social Influence and Facilitating Conditions are measured. The proposed research model was validated through Structural Equation Modeling (SEM) using Analysis of Moment Structures (AMOS) software. A total of 414 responses were collected using clustered sampling approach. Each variable is measured on seven point Likert scale. Research findings indicate that eleven out of thirteen hypotheses were found to be statistically significant. Moreover, PU, Risk, Cost, Trust and PEOU are the most significant factors that influence the behavioural intention to accept M-commerce, respectively

A conceptual framework for the analysis of determinants of m-commerce acceptance

With the emergence of internet and World Wide Web, traditional businesses got a new opportunity to compete globally. Traditional bricks-and-mortar businesses became electronic business (e-business) with the help of Information and Communication Technology (ICT) tools. Smart phone technology brought a new revolution in e-business market. A new term of Mobile Commerce (M-Commerce) emerged and set a new trend in commerce and business. M-commerce usage trend in developing economies still seems to take very slow steps as compared to developed countries like USA, UK, Australia and others. The purpose of this study is to extend research on the acceptance of M-Commerce in context of developing economies. A conceptual framework of some widely used technology adoption and social psychology theories including, Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), is proposed to diagnose the significant factors of MCommerce acceptance in developing economies

Framework for location based attendance system by using fourth industrial revolution (4ir) technologies

Information Technology (IT) is an emerging field that plays a significant role in every field of today’s world. In the education systems, IT has replaced many traditional methods with trending digital technologies and solved the problems and hurdles that usually occur. Besides these, IT is a key factor that is responsible for digitization and automation that ultimately have led us to the 4th industrial revolution (4IR), which is an upgrade of the previous 3 industrial revolutions. The 4IR is not only for industrial production, but it is also involved in almost every field including education and commercial domains. In every organization, including an educational institute or any other commercial organization, attendance has a great importance. In the recent past, several IT technologies have been used to replace the traditional paper-based attendance method with digital attendance mode, for that purpose, there have been several techniques in use since long time i.e. Near Field Communication; NFC, Radio Frequency Identification; RFID, Biometric, Quick Response Code; QR-Code, etc. Though, these types of techniques were very efficient but had some flaws such as risks of prone attendance, the queue of a crowd waiting in front of attendance device, high time consuming etc. This research was planned to overcome these issues by introducing a new approach by designing a framework for location-based attendance system using digital technologies of the 4IR. The designed framework was based on BYOD (Bring Your Own Device) trend, in which students rather than teachers can mark their attendance using their own devices. This framework was a 3 layered framework i.e. client layer, data synchronization layer, and server layer. The framework was validated by developing a system and testing it at the Information Technology Centre, Sindh Agriculture University Tandojam, Pakistan. For calculating the empirical results, an evaluation was performed. The designed framework proved to be more secure, all the data in the framework was encrypted with a strong encryption algorithm, final attendance of successful students was stored in the blockchain structure to maintain the confidentiality and integrity in data. The designed framework used triple authentication i.e. biometric authentication, QR-code authentication, and location based authentication that reduced the risk of prone attendance