Predicting motivators of cloud computing adoption: A developing country perspective

Cloud computing is a recent and significant development in the domain of network applications with a new information technology perspective. This study attempts to develop a hybrid model to predict motivators influencing the adoption of cloud computing services by information technology (IT) professionals. The research proposes a new model by extending the Technology Acceptance Model (TAM) with three external constructs namely computer self-efficacy, trust, and job opportunity. One of the main contributions of this research is the introduction of a new construct, Job Opportunity (JO), for the first time in a technology adoption study. Data were collected from 101 IT professional and analyzed using multiple linear regression (MLR) and neural network (NN) modeling. Based on the RMSE values from the results of these models NN models were found to outperform the MLR model. The results obtained from MLR showed that computer self-efficacy, perceived usefulness, trust, perceived ease of use, and job opportunity. However, the NN models result showed that the best predictor of cloud computing adoption are job opportunity, trust, perceived usefulness, self-efficacy, and perceived ease of use. The findings of this study confirm the need to extend the fundamental TAM when studying a recent technology like cloud computing. This study will provide insights to IT service providers, government agencies, academicians, researchers and IT professionals.     

Empirical study on continuance intentions towards E-Learning 2.0 systems

Although E-Learning 2.0 has played a significant role in training and development within the organisational environment, after an initial acceptance, its use is frequently discontinued. Prior studies offered insights into participation in E-Learning; however, there is limited research on continuance intention towards E-Learning 2.0 systems in organisational contexts. Furthermore, the most widely used research models, such as technology acceptance model (TAM), neglect the interactive social processes in E-Learning 2.0. Therefore, this study proposes a unified model integrating the TAM, the information system success model and social motivation theories to investigate continuance intentions towards E-Learning 2.0 in an organisational context. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems took part in this study. Structural equation modelling was conducted to test the research hypotheses. The results show that the unified model provides a more comprehensive understanding of the cognitive processes and behaviours related to this context: (1) perceived usefulness and attitude were critical to the continuance intention towards an E-Learning 2.0 system; (2) perceived usefulness was a significant mediator of the effects from perceived ease of use, information quality and social influence on continuance intention; (3) perceived ease of use, information quality and social influence were found to play important roles in predicting the continuance intention; (4) system quality played an important role in affecting the perceived ease of use; and (5) unexpectedly, social motivations had no significant effect on attitude.     

Understanding determinants of information systems users’ behaviour: a comparison of two models in the context of integrated accounting and budgeting software

This study examines determinants that affect the behaviour of information systems (IS) users, and influence of the users’ decisions to continue using IS by two models: the technology acceptance model (TAM) and the expectation-confirmation model of IS continuance (ECM-IS). The behaviour of professionals who utilise complex software solutions for performing their working tasks has been in the focus of this research. Based on data gathered from questionnaires filled-out by users of the integrated accounting and budgeting software (IABS), the confirmatory factor analysis has shown that both models demonstrate good factor, convergence and discriminatory validity, respectively. The comparison of the obtained results has been performed, and it shows that ECM-IS has a larger explanatory power (R²) over TAM, explaining 49% of the dependent variable (IS continuance intention) in relation to 29%. The IS continuance intention is determined by the users’ satisfaction and perceived usefulness. The user satisfaction is influenced by perceived usefulness and confirmation. The confirmation of the user's expectations has had a positive influence on perceived usefulness. The perceived ease of use has not exerted a significant influence on the user's intention of IS continuance.     

An empirical investigation of a modified technology acceptance model of IPTV

This study explores the factors influencing the adoption of IPTV, and tests the applicability of the technology acceptance model (TAM) in a new convergent technology. The behavioural constructs from TAM were tested for predicting user acceptance of IPTV. Structural equation modelling was used to analyse data and to design a theoretical model predicting the individual's intention to adopt IPTV. A modified TAM for IPTV proposes that new constructs determine user-perceived usefulness and enjoyment of using IPTV. Although this study confirms the impact of information quality and system quality on consumers' technology experience, it specifically shows that the perceived quality of content and system were found to have a significant effect on users' perceived usefulness and perceived enjoyment. In addition, social influences had a positive effect on the intention to use IPTV. These findings suggest an extension of the TAM model for convergence technologies. This research advances theory and contributes to the foundation for future research aimed at improving the understanding of users' adoption behaviour of convergence technologies. Implications of these findings for practice and research are examined.     

Usability,expectation, confirmation,and continuance intentions to use electronic textbooks

A trend in education is the use of electronic textbooks (e-textbook, [Stone, R. W., and L. Baker-Eveleth. 2013. “Students’ Expectation, Confirmation, and Continuance Intention to Use Electronic Textbooks.” Computers in Human Behavior 29 (3): 984–990.]). A variety of research has examined the motivations for e-textbook adoption as well as continuance intentions of e-textbooks after an initial adoption. This research extends the continuance intentions literature using the expectation–confirmation model ([Bhattacherjee, A. 2001. “Understanding Information Systems Continuance: An Expectation–Confirmation Model.” MIS Quarterly 25 (3): 351–370.]) and including the constructs of e-textbook usability and its dimensions. The data were responses to an online questionnaire by students at a medium-sized (USA) university. A total of 1434 responses were received for a 12.52% response rate. These responses were partitioned to include only complete responses from students who had previously used an e-textbook. This produced a sample of 639 questionnaire responses for empirical analysis. The analysis was performed using structural equation modelling (i.e. Procedure Calis in PC SAS version 9.2). The results showed that students' continuance intentions of e-textbooks are driven by students' satisfaction with e-textbooks and perceived usefulness. Additionally, students' expectation–confirmation and e-textbook usability positively influence both students' satisfaction and perceived usefulness and hence the intentions for continued e-textbook adoptions. Finally, the usability dimensions of efficiency and effectiveness significantly influence e-textbook usability.     

The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology

Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers’ utilization of e-learning technology in connection with on-site courses. In the proposed model teachers’ extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic motivation are predicted to be influenced by perceived autonomy, perceived competence and perceived relatedness. Even though information systems continuance theory has received quite extensive attention in prior research, this study is among the first to examine the effects of self-determination theory constructs in the context of teachers’ utilization of e-learning technology. The results show that extension of IS-continuance theory with constructs that represent users’ basic psychological needs and intrinsic motivation can be useful for predicting their e-learning continuance intentions.     

Understanding e-learning continuance intention in the workplace: A self-determination theory perspective

Based on self-determination theory (SDT), this study proposed an extended Technology Acceptance Model (TAM) in the context of e-learning service. In the proposed model perceived usefulness, perceived playfulness and perceived ease of use are predicted to be influenced by perceived autonomy support, perceived competence and perceived relatedness. Although TAM has received fairly extensive attention in prior research, this study is one of the first to examine the effects of motivational factors affecting TAM constructs. The results show that applying SDT to e-learning in a work setting can be useful for predicting continuance intention.     

Mobile Technology in the Classroom: What Drives Student-Lecturer Interactions?

Online learning when combined with mobile technology transforms the traditional classrooms from teacher-centered to student-centered classrooms. Despite the widespread use of mobile technology among students and educators today, limited researches have been conducted to study the effects of using mobile technology to enhance student–lecturer interactions. In addition, existing theories of technology acceptances, chiefly Information System Success Model (ISSM), Motivational Model (MM), Social Cognitive Theory (SCT), Technology Acceptance Model (TAM), and Cultural Dimension Theory (CDT) are widely recognized for their predictive power in determining adoption intentions. In this study, determinants from all five theories were unified and examined, namely system quality and information quality from ISSM, enjoyment from MM, perceived usefulness and perceived ease of use from TAM, self-efficacy from SCT, and uncertainty avoidance from CDT as predictors of adoption intention in the context of predicting student–lecturer interactions. This empirical study was conducted using an online survey. Data collected from the samples (n = 328) were analyzed using PLS-SEM. Results obtained exhibited adequate explanatory power, where information quality, system quality, enjoyment, and uncertainty avoidance significantly predict adoption intention, while perceived usefulness, perceived ease of use, and self-efficacy were insignificant. Secondly, each theory was independently analyzed, and the predictive power and relevance of ISSM, MM, TAM, and UDT confirmed the importance and relevance of these theories. Results obtained provided a comprehensive understanding of the factors that significantly affect students’ intentions to use mobile technology to interact with their lecturers on academic matters. The discussions and implications of this study are crucial for researchers and practitioners of educational technologies in higher education.     

The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology

Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers’ utilization of e-learning technology in connection with on-site courses. In the proposed model teachers’ extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic motivation are predicted to be influenced by perceived autonomy, perceived competence and perceived relatedness. Even though information systems continuance theory has received quite extensive attention in prior research, this study is among the first to examine the effects of self-determination theory constructs in the context of teachers’ utilization of e-learning technology. The results show that extension of IS-continuance theory with constructs that represent users’ basic psychological needs and intrinsic motivation can be useful for predicting their e-learning continuance intentions.     

Factors affecting e-training adoption: an examination of perceived cost,computer self-efficacy and the technology acceptance model

The objective of this paper is to highlight the role that perceived cost, computer self-efficacy and the technology acceptance model (TAM) constructs have in e-training adoption in the Nigerian civil service. With the use of the SmartPLS 2.0 M3 software, a framework that included perceived cost, computer self-efficacy and TAM constructs (perceived usefulness (PU) and perceived ease of use (PEOU)) was tested on 450 heads of departments. Scales on perceived cost, computer self-efficacy, PU and PEOU developed by previous studies were modified accordingly and used. This paper found perceived cost to have a significant effect on e-training adoption. Computer self-efficacy was statistically insignificant through PEOU. In addition, PEOU had an indirect effect through PU. Therefore, only PU of the TAM constructs indicated strong predictive strength in e-training adoption. This paper showed that with e-training adoption, facilities such as computers can be put in place, which can improve the outlook of the civil service. In addition, the cost that is usually associated with traditional training can be reduced, increasing the opportunity to invest in other aspects of the civil service which can help in adding to the overall performance. Relationships were examined in this paper, which were shown to be favourable to e-training adoption in the Nigerian civil service.     

Extended technology acceptance model of Internet utilization behavior

Based on the belief–attitude–performance chain, this study combines Davis’s technology acceptance model (TAM) and the information behavior model to develop an extended TAM for Internet use. The theoretical model was tested via a questionnaire survey of 203 Taiwanese office workers. The empirical results not only confirmed TAM, but also showed that the relevance of information needs strongly determines perceived usefulness, perceived ease of use, and user attitudes toward Internet use for information seeking, as well as strongly influencing individual performance during the information use stage. More importantly, relevance has greater positive effect on perceived performance and perceived usefulness for enterprise Intranet users than for simple/interactive Intraweb users. Enterprise Intranet users have more positive attitudes toward the Internet and more positive perceptions of system effectiveness for supporting office tasks than simple/interactive Intraweb users. Furthermore, perceived ease of use is the strongest determinant of user attitude toward Internet use in both enterprise Intranet and simple/interactive Intraweb applications. Overall, the extended TAM explains the behavior of enterprise Intranet users better than that of simple/interactive Intraweb users. Limitations of this study are discussed.     

How do internet surfers become online buyers? An integrative model of e-commerce acceptance

The present study attempts to analyse the factors that determine e-commerce adoption by final consumers. In particular, following Taylor and Todd's approach (Taylor, S. and Todd, PA., 1995 understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176), an overall adoption model of internet shopping is propounded, which includes the most relevant approaches in e-commerce adoption literature: the theory of planned behaviour and the technology acceptance model. The proposed theoretical model is applied on two different samples: one composed of internet users with no previous experience of virtual shopping, and another formed by subjects that have already made online transactions previously. The results obtained reveal that for both groups the attitude towards e-commerce, influence from a relevant third party and perceived usefulness in the system constitute the main direct determinants of the intention of virtual commerce adoption. Perceived behavioural control does not affect, on the contrary, the intention to shop on the internet in the future.     

Understanding Continuance Intention of Mobile Payment Services: An Empirical Study

Research on continued use of mobile payment services is scarce. To address part of this research gap, we examine a research model, derived from IT continuance, risk-trust, and affect-cognition literature. The results show that user satisfaction with mobile payment services has a substantive positive impact on continuance intention with such services; the disconfirmation of preadoption perceived usefulness about mobile payment services positively impacts user satisfaction and postadoption perceived usefulness; the disconfirmation of preadoption perceived risk about mobile payment services negatively impacts user satisfaction and positively impacts postadoption perceived risk; postadoption perceived usefulness is positively associated with continuance intention; user satisfaction positively impacts both institution-based trust in mobile payment technologies and trust beliefs in service providers; institution-based trust shows a positive impact on postadoption perceived usefulness and a negative impact on postadoption perceived risk.     

The acceptance of Moodle technology by business administration students

The advent of information technologies to Universities has improved the teaching-learning process. Students can increase their learning skills using information technology. Those using the Moodle platform regularly seem to get better grades than those who rarely or never use it.This paper analyzes students’ intention to use Moodle platforms to improve the teaching-learning process. Its main focus is to analyze the use of the Moodle platform by University students, identifying factors which might influence the intention to use it. Understanding the factors influencing the intention to use Moodle will allow us to determine which actions might be carried out to boost its use by University students, to therefore, improve both their skills and grades.The theoretical grounding for this research is the Technology Acceptance Model (TAM). TAM specifies the causal relationships between perceived usefulness, perceived ease of use and actual usage behavior. The proposed model has six constructs and nine hypotheses have been generated from the connections between these six constructs. These constructs include perceived compatibility with student tasks, perceived usefulness for professors, and training. Our results provide support for a number of relationships in the hypothesized model. In light of these findings, implications for theory and practice are discussed.     

Understanding the factors affecting online elderly user’s participation in video UCC services

Video user-created content (video UCC) is currently being spotlighted by business practitioners and researchers. However, little consideration is being made on elderly people’s adoption of this innovative service. This paper highlights this issue of elderly online users and discovers the factors affecting their participation decisions in video UCC services. This study introduces elderly-specific constructs such as perceived physical condition (physical age), life course events (psycho-social age), perceived user resources, prior similar experience, and computer anxiety, each reflecting the complex aging process. Then, the relationship between these constructs and the conventional constructs from the technology acceptance model (TAM) (perceived ease of use, perceived usefulness, perceived enjoyment, and compatibility) is hypothesized and tested. Data was collected from 290 online users older than 50 years of age. The results show that elderly people are not highly resistant to change and will adopt video UCC if some conditions are satisfied. In addition, elderly-specific variables could be good antecedents for conventional TAM constructs, while having direct effects on the intention construct for some cases (perceived physical condition, life course events, and perceived user resources). We believe the implications of this study are important for both researchers and practitioners.     

Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China

This paper examines the antecedents and consequences of perceived value in m-government continuance use. Drawing upon service science studies and Chinese m-government context, a research model is constructed by extending the technology acceptance model (TAM). Data collected from a field survey of 326 m-government users are analyzed to test the proposed hypotheses. The results indicate that perceived value is strongly influenced by mobility, perceived usefulness and security, which is, in turn, significant impact on satisfaction and trust in technology, trust in agent and trust in government. These results contribute to drawing attention to the important role of perceived value in m-government continuance use and providing a new view that supplements to the extant technology acceptance research.     

A cross-country analysis of the determinants of customer recommendation intentions for over-the-top (OTT) platforms

Using data from India and the USA, this research expands the expectation–confirmation model (ECM) to include constructs like neutral confirmation, customer-to-customer (C2C) interactions and perceived content quality as antecedents to perceived enjoyment, perceived usefulness, user satisfaction, continuance, and recommendation intentions. Across both countries, except for the influence of C2C interactions on perceived enjoyment and of perceived usefulness on recommendation intentions, the remaining hypotheses are supported. There are cross-country differences in the magnitude of the paths from neutral confirmation and C2C interactions to perceived usefulness, and of paths from perceived enjoyment and satisfaction to continuance intentions.     

Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction

Given increasing investment in an IT (information technology) artifact (i.e., online service website), it is becoming important to retain existing customers. In order to help link website design and investment decisions to the strategy for retaining customers, we propose a model by extending the user satisfaction perspective into research on online service continuance. We empirically tested the model within the context of a social network service. The analysis results found that website information satisfaction and system satisfaction play key roles in forming continuance intention through perceived usefulness and perceived enjoyment. It is also noted that computer anxiety serves as an important moderator toward continuance intention. Theoretical and practical implications are offered for better understanding of the role of the IT artifact in online service post-adoption phenomena.     

Understanding driver adoption of car navigation systems using the extended technology acceptance model

This study proposes an integrated research model for investigating driver adoption of car navigation systems. We consider the potential causal connections between core cognitive and psychological factors and driver intention to use these systems. We extracted possible factors that may significantly affect the perceived usability of car navigation systems from in-depth interviews with two groups of individuals: an expert group and a driver group. Data collected from N?=?1045 drivers via an online survey were analysed by structural equation modelling. The results showed that the service & display quality components of the systems were the most significant determinants of driver attitude and intention to use car navigation systems. Two other factors, namely attitude and perceived usefulness, also had impacts on driver intention. Moreover, both satisfaction and service & display quality were affected by perceived system reliability, while usefulness was affected by both perceived locational accuracy and satisfaction. Satisfaction also significantly affected perceived ease of use. In addition, we introduced new external variables to the technology acceptance model (TAM) and validated the causal connections proposed by the original TAM. The present study provides valuable insights into the core factors that significantly affect driver perspectives of and intention to use car navigation systems.     

Technology for Development: Understanding Influences on use of Rural Telecenters in India

In recent years, there has been an increasing use of information and communication technology as a means of improving the income and capabilities of farmers. Many large agri-business organizations, governments, and independent private firms have created telecenters to meet these goals. However, use of telecenter facilities has not met its potential. We use the technology adoption and diffusion frameworks of Rogers (adoption/diffusion, 2003) and Davis (technology adoption model – TAM, [(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339]) to understand factors that influence adoption and use of information technology by farmers. Based on a five-state sample of 280 farmers and agricultural workers, we identify adoption/diffusion factors that increase use of telecenters. Bivariate results support the dimensions suggested by Rogers: relative advantage, compatibility, low complexity, and observability, while also supporting the TAM factors of usefulness and ease of use. Logistic regression findings identify the most important Rogers' dimensions. Binary-independent variables of North–South telecenter location and telecenter business-independent ownership indicate North–South location influences both the models of adoption/diffusion and TAM factors, while telecenter ownership influences the model of TAM factors. The practical and government policy implications are examined.