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Individual behavior towards mobile services acceptance in the airline sector: A survey in Saudi Arabia
THE role of the technology acceptance model in information systems research: a case study
Explaining the factors that lead to use and acceptance of information technology (IT), both at individual and organizational levels, has been the focus of information systems (IS) researchers since 1970s. The Technology Acceptance Model (TAM) is known as such an explanatory model and has increasingly gained recognition due to its focus on theories of human behaviour. Although this model has faced with some criticism in terms of not being able to fully explain the social-technical acceptance of technology, it is still known as one of the best IS methodologies that contributes greatly to explaining it. This paper discusses, describes and explains TAM as one of the well-known information system research methodologies and attempts to demonstrate how this model can be applied in practice in IS research projects. TAM is widely used in different areas of IS studies such as e-commerce, e-business, multimedia and mobile commerce. This paper shows how TAM can be applied in an IS research project by referring to a case study conducted in the area of mobile banking in the UK. This paper aims to contribute to IS research by providing an informed criticism of TAM as well as a clear proposal on how to use it
Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology
© The Author(s), 2019. Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence usersâ adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares â structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived useful ness, which in turn strengthens usersâ adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen usersâ intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumersâ adoption intention in healthcare wearable technology
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Consumer decision making in mobile-banking service selection
This paper reports on the findings of a study of 267 consumers on the first order selection criteria within a decision making model that utilizes the Analytic Hierarchy Process (AHP) to evaluate mobile banking service selection. The AHP analysis of the first order selection criteria for the full data sample identified âTime Savingâ as the highest ranked factor followed by âControlâ then âAny Placeâ and lastly âCostâ. The survey also reports on consumer usage patterns for internet and mobile services as well as exploring their experiences with mobile banking services
The Impact Of Technology Trust On The Acceptance Of Mobile Banking Technology Within Nigeria
With advancement in the use of information technology seen as a key factor in economic development, developed countries are increasingly reviewing traditional systems, in various sectors such as education, health, transport and finance, and identifying how they may be improved or replaced with automated systems. In this study, the authors examine the role of technology trust in the acceptance of mobile banking in Nigeria as the country attempts to transition into a cashless economy. For Nigeria, like many other countries, its economic growth is linked, at least in part, to its improvement in information technology infrastructure, as well as establishing secure, convenient and reliable payments systems. Utilising the Technology Acceptance Model, this study investigates causal relationships between technology trust and other factors influencing userâs intention to adopt technology; focusing on the impact of seven factors contributing to technology trust. Data from 1725 respondents was analysed using confirmatory factor analysis and the results showed that confidentiality, integrity, authentication, access control, best business practices and non-repudiation significantly influenced technology trust. Technology trust showed a direct significant influence on perceived ease of use and usefulness, a direct influence on intention to use as well as an indirect influence on intention to use through its impact on perceived usefulness and perceived ease of use. Furthermore, perceived ease of use and perceived usefulness showed significant influence on consumerâs intention to adopt the technology. With mobile banking being a key driver of Nigeriaâs cashless economy goals, this study provides quantitative knowledge regarding technology trust and adoption behaviour in Nigeria as well as significant insight on areas where policy makers and mobile banking vendors can focus strategies engineered to improve trust in mobile banking and increase user adoption of their technology
Explaining intention to use the Islamic credit card: an extension of the TRA model
Abstract Purpose â The Islamic credit card is a type of banking product offered by Islamic banks. Given the importance to the Islamic credit card to Islamic banks, the study is aimed at identifying the factors determining the Malaysian bank customersâ behavioral intention to use the Islamic credit card. Design/methodology/approach â Drawing upon the Theory of Reasoned Action (the TRA model), this study proposes a modified model to examine the acceptance factors of attitude, subjective norm and perceived financial cost within the Islamic credit card context. The study used multiple regression model in order to examine the impacts of these explanatory variables on the intention to use the Islamic credit card. The model is tested using survey data from 257 respondents. Findings â The results reveal that attitude, subjective norm and perceived financial cost significantly influence the Islamic credit card intention to use. Of these, attitude was first ranked factor explaining intention to use the Islamic credit card. Research limitations/implications â The research suffers from two limitations. The first limitation is related to the generalization of finding whilst the second limitation is related to the limited measures employed in the current work. Despite these limitations, this research is significantly contributed to the body of knowledge in the area of Islamic credit card, at least at exploratory level. Practical implications â Information gathered from the study will serve as a basis for more future works in the area of Islamic credit card. The theory developed in the current studyâs model could also be generalized into other contexts of Islamic banking products and services. Practically, branch managers of Islamic banking institutions could of prime importance to extend the findings of the study for the better future planning of their Islamic credit card offerings. Originality/value â Importantly, the study extends the applicability of the TRA model into Islamic credit card context. Few studies have conducted over the years under this context in Malaysia.Islamic credit card, personal finance, Islamic bank, Malaysia
Intention to use mobile customer relationship management systems
© Emerald Group Publishing Limited. Purpose - The purpose of this paper is to investigate the behavioral intentions of business-to-business (B2B) sales managers to use mobile customer relationship management (CRM) systems in the course of their day-to-day activities. Design/methodology/approach - An extended Technology Acceptance Model (TAM) of mobile CRM system adoption is developed and tested with data from 105 international sales managers representing five B2B companies. Findings - The study extends the TAM framework with three additional constructs derived from mobile technology and sales force automation literature, namely personal innovativeness in the domain of IT, perceived risk, and perceived reachability. The model demonstrates that personal innovativeness and perceived reachability have significant effects on the TAM framework. Research limitations/implications - The relatively small sample size limits the generalization of the results. Practical implications - Sales managers' intention to adopt mobile CRM can be explained by the extended TAM framework. Understanding the key factors that influence intention to adopt a mobile CRM system will aid companies in implementing it among their sales force. Companies willing to foster adoption of a mobile CRM system among the sales force could focus on communicating the usefulness of using the system and benefits gained from enhanced reachability. Recruiting sales people with strong personal innovativeness is beneficial. Originality/value - This study responds the calls for studies on mobile platforms and on the use of mobile B2B applications in sales force management. It is among the first attempts to incorporate variables derived from mobile technology acceptance literature among the sales force into the TAM framework, to better explain acceptance of mobile CRM systems
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
The biological immune system (BIS) is characterized by networks of cells, tissues, and
organs communicating and working in synchronization. It also has the ability to learn,
recognize, and remember, thus providing the solid foundation for the development
of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself
as an area of computational intelligence. Real-Valued Negative Selection Algorithm
with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated
its potentials in the field of anomaly detection. The V-Detectors algorithm depends
greatly on the random detectors generated in monitoring the status of a system.
These randomly generated detectors suffer from not been able to adequately cover
the non-self space, which diminishes the detection performance of the V-Detectors
algorithm. This research therefore proposed CSDE-V-Detectors which entail the
use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in
optimizing the random detectors of the V-Detectors. The DE is integrated with CS
at the population initialization by distributing the population linearly. This linear
distribution gives the population a unique, stable, and progressive distribution process.
Thus, each individual detector is characteristically different from the other detectors.
CSDE capabilities of global search, and use of LÂŽevy flight facilitates the effectiveness
of the detector set in the search space. In comparison with V-Detectors, cuckoo search,
differential evolution, support vector machine, artificial neural network, našıve bayes,
and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms
other algorithms with an average detection rate of 95:30% on all the datasets. This
signifies that CSDE-V-Detectors can efficiently attain highest detection rates and
lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly
detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly
detection tasks
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