M-Learning Acceptance Among Faculty and Students in Pakistan

Fast development in mobile phones has enabled higher educational institutions to adapt and initiate mobile technologies. It can also make way for learning using mobile devices and systems. This chapter investigated the present state of student and faculty perception towards m-learning at open and distance educational institutes (ODEIs) in Pakistan. The chapter presents a conceptual model based on technology acceptance model, which explains the factors influencing student and faculty perception towards m-learning acceptance. Since m-learning acceptance mainly depends on personal attitude, this study focuses on individual context. Primary data from students and faculty (N=612) was collected. The SEM results indicate that skill readiness (SK) and self-efficacy (SE) influence perceived ease of use (PEOU) and perceived usefulness (PU), where these two factors along with prior experience (PE) positively influence behavioral intension (BI) to accept mobile learning. Furthermore, the results of this study specifically provide factors which positively influence BI either directly or indirectly.

Distinguish Significant Adoption Factors That Influence Users' Behavioral Expectation to Utilize Mobile Payment

In this chapter, the authors performed an analysis of the data extracted from 39 peer-reviewed scientific publications between 2015 and 2018 describing users' adoption of various mobile payment systems encompassing methods, technologies, adoption models, theories, variables of the adoption models and theories, as well as significant adoption factors. The analysis demonstrates that the technology acceptance model (TAM) is the most popular model to investigate users' adoption of mobile payment. Both the original and extended versions of TAM are studied broadly to examine the individual's intention to adopt mobile payment. In addition, the analysis of the results from this chapter demonstrates perceived compatibility has the strongest positive impact on the intention to use mobile payment technology whereas perceived risk has a negative relationship with the intention to use mobile payment technology.

Study of Emotional Factors Influencing Professionals' Adoption to E-Payment in Sri Lanka

Electronic payment is widely regarded as a fund transfer between parties electronically for commercial purposes, and it is increasingly being recognized as a key competitive tool in the present situation. While businesses are focusing more on rational factors behind consumer acceptance and adoption of e-payment, academic research is lagging in investigating the emotional factors. This chapter is providing a clear background about how businesses can emotionally influence and motivate consumers to utilize e-payment methods for their day to day transactions. A sample of 460 professionals in Sri Lanka was empirically investigated with the aim of identifying the emotional factors influencing professionals to adopt and use e-payment methods. A structured questionnaire was used to collect data and the exploratory factor analysis identified that the professionals' e-payment adoption was influenced by six different emotional factors. Based on the literature these factors are innovativeness, professional satisfaction, optimism, insecurity, skepticism, and discomfort.

Explaining the Factors on Process of Academic Wikipedia Users Using Technology Acceptance Model Through the Structural Equation Model

As a teaching tool, Wikipedia is used by an increasing number of professors from many universities around the world. Wikipedia is very influential in allowing students and teachers to learn together and having various skills for students. In this chapter, the influenced main factors of the teaching uses of Wikipedia in higher education are determined and also the relationship between these factors are tried to be explained with the technology acceptance model (TAM) through the structural equation model (SEM). With this aim, teaching use of Wikipedia in all faculty members of the Universitat Oberta de Catalunya are used as data and the data is analyzed by LISREL software package. After the analysis, it is found that sharing attitude and use behaviour factors have important role in the model and there is a direct strong impact of sharing attitude on use behavior.

A Compilation of the Research Models Regarding E-Commerce Web Site Success

The aim of this chapter was to review the researches which were conducted on success of electronic commerce web sites. In particular, for the electronic commerce companies operating in the field of B2C, the main determinants of success are the attitudes and perceptions of customers regarding the website. In the literature, researchers suggested different models to explain the relationships among dimensions which are determining the success of information system. Some of them also adopted these models into the B2C area. These attempts enlighten the managerial problems encountered by the executives of the B2C enterprises. Consequently, in this study, in the light of compiled models, some suggestions have been made to guide the executives.

Use of NLP and SEM in Determining Factors for E-Service Adoption

With the emergence of digitalization on a large scale and the increasing penetration of the internet, there has been a need to perform analysis on a real-time basis. With the abundance of information available from various sources, user opinions when captured and analyzed properly can give interesting insights. It also reduces the efforts needed in conducting survey data for testing of any structural model. SEM technique being a “silver bullet” for estimating causal models, in this chapter, the authors have focused on explaining a new avenue of using structured equation modeling (SEM) through use of natural language processing (NLP) techniques on user opinion data available in various social platforms using an example of adoption of e-health services in India.

The Influencing Factors for Purchasing Intentions in Social Media by Utaut Perspective

The purpose of this chapter is to predict the factors influencing consumer intention towards the adoption of social commerce. This study uses a survey approach with reference to important behavioural factors such as performance expectation, social influence, price value, habits, and perceived usefulness. The results of the study revealed that habits and social influence has an important role of individuals' behavioral intention to use social commerce. A survey was administered and a sample of 250 individuals were analyzed using SmartPLS version 3.2.7.

Investigation of Internet Banking Users' Perceptions and Factors Affecting Internet Banking Benchmarks

Increasing consumer needs in parallel with technological developments brought different demands with it. One of the activities to meet these developing and changing needs in the banking sector is the development and utilization of web-based applications. The main aim of the chapter is to approach the perceptions of internet banking customers and the factors that affect the adoption of internet banking. To explain the acceptance of internet banking in the study, the extended technology acceptance model, “UTAUT2,” which is called the most comprehensive of the technology acceptance models and the latest developed, has been applied and expanded by adding the perceived risk factor. A structural equation model (SEM) was used to analyze the collected data from the applied questionnaires. The results show that behavioral intention is significantly influenced by performance expectation and price value. However, perceived risk, social impact, effort anticipation, hedonic motivation has not been seen to have a significant effect on behavioral intentions.

Usage of E-Zwich Among Students in Developing Countries

E-Zwich payment system is the innovative method for improving accessibility to banking and retail services in Ghana, though some have predicted its failure despite some schools officially signing up to it. Government's attempts at mainstreaming this cashless system into national statistical economic data are stifled with data distortions. The chapter looks at how acceptable the E-Zwich system is among students and the possible factors that would drive its sustainability by determining plausibility of relationships among the network of variables. The study concludes that signing on to the E-Zwich facility and owning a card for a long time does not necessarily translate into perceived usefulness, but builds usage experience and efficiency, thereby reducing user complaints. Unattended challenges/complaints hampers cash mobilization to short change the cashless agenda among the youth.

The Use of Technology Acceptance Model in Mobile Banking

This chapter aims to determine the variables that explain using mobile banking. This study identifies and investigates the factors that influence the adoption of mobile banking, and specifically focuses on the evaluation of mobile banking application with users or non-users. The research model includes the basic concepts of the technology acceptance model. The technology acceptance model (TAM) tries to explain the adoption process and underlying influencing factors in technology acceptance. The survey was conducted to gather data which was coded in SPSS 17. Confirmatory factor analysis was used to analyze data, and structural equation modeling using Amos 17 software was used to validate the research model. The result shows that perceived ease of use, perceived usefulness, and perceived normative pressure significantly influences customer attitude, which affects the adoption of mobile banking.