38 resultados para technology acceptance model (TAM)


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E-readers, or devices designed primarily for reading e-books, are taking the world by storm. Several papers in library studies and education have examined e-book consumption for academic reading. However, no previous marketing study has investigated consumers’ adoption of e-readers for pleasure reading. We address this gap by testing an extended version of the Technology Acceptance Model (TAM) with emotional attachment (TAME) in this context. Consumers’ attachment to paper books is proposed as a barrier to their adoption of e-readers. This speaks to a key deficiency of the TAM, being its focus on cognition at the expense of consumer emotion. A three-phase study finds support for the TAME, with 64% of the variance explained in consumers’ intentions to adopt e-readers. Emotional attachment to paper books is found to be weakly and negatively associated with consumers’ attitude toward using e-readers. The qualitative findings suggest that e-reader adoption may not involve a binary choice between paper and e-formats.

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Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.

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Despite its huge uptake all over the world, Twitter is still in its early stages of being used as an educational tool. Here, we present an experiment that was conducted across two undergraduate groups from different universities, an Australian and another American university. In this experiment we looked at Twitter usage in class and compared the results with a particular focus on analysing technology acceptance differences between the two groups. Both groups used Twitter as part of their tutorial work and participated in a survey at the end of the semester. Empirical investigation was done using Davis’ technology acceptance model (TAM). The study findings reveal highly significant differences in the technology acceptance behaviours of the two groups, thus highlight cultural differences in the acceptance of technology, in this case Twitter.

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Information Systems can play an important role in ensuring and improving the quality of education provided. However, lack of acceptance of these information systems and resistance of technology innovations by the end users limit the expected benefits of the system. This research attempts to identify the key determinants for the acceptance of the Unit Guide Information Systems (UGIS) in the Australian higher education sector. The technology acceptance model (TAM), social cognitive theory (SCT) and model of PC utilization (MPCU) are combined to provide a new framework for this analysis. Results of the study are consistent with the technology acceptance factors for explaining the behavioural intention of the academics. The study also shows the effects of application specific self-efficacy, application specific anxiety and social influence on the acceptance of UGIS. Implications of the results are discussed within the context of unit guides and curriculum mapping.

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Surveys are mostly challenged by response rates. Among the various types of survey research, web-based (internet-based/electronic/online) surveys are commonly used for data collection for a geographically diverse population. In surveys with high/low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response there are different approaches and techniques that help to identify reasons of non-response bias. The aims of this paper are twofold. (1) To provide an appropriate, interesting and important non-response bias case study for future web-based surveys that will provide guidance to other Information Systems researchers. The case-study concerns an online-survey to evaluate a technology acceptance model for Unit Guide Information systems (UGIS). (2) To discuss how nonresponse bias in a web-based technology acceptance study of an information system (UGIS in this case) can be contained and managed.

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This study seeks to develop a comprehensive model of consumer acceptance in the context of Smart Mobile Device (SMDs). This paper proposes an adaptation of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) model that can be employed to explain and predict the acceptance of SMDs. Also included in the model are a number of external and new moderating variables that can be used to explain user intentions and subsequent usage behaviour. The model holds that Activity-based Usage and Device Characteristics are posited to moderate the impact of the constructs empirically validated in the UTAUT2 model. Through an important cluster of antecedents the proposed model aims to enhance our understanding of consumer motivations for using SMDs and aid efforts to promote the adoption and diffusion of these devices.

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The Technology Acceptance Model (TAM) aims to understand consumers’ adoption of new technologies. Some 30 years after TAM was first proposed, it is still widely used today. This paper proposes an extended version of the TAM, with the primary addition to it being the construct of consumers’ emotional attachment to an existing product. The expanded TAM, Technology Acceptance Model with Emotional Attachment (TAME), is applied to the understudied area of e-book reader technology and its adoption by consumers who read for pleasure versus for academic purposes, as has been the focus of past research on e-book readers. The extended model considers consumers’ emotional attachment to paper books (pbooks) as a likely barrier to the take up of e-book reader technology.

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While technology affords new opportunities and benefits for educators in their teaching practice, a significant number of faculty are resistant to adopting new technologies. Unprompted, 93% of faculty interviewed in the Australian study to be discussed in this paper pointed to accounting educator resistance as a key barrier to technology adoption and use. Adopting the Technology Acceptance Model (TAM) as a framework, this paper argues that one of the greatest challenges facing business schools and Higher Education Institutions (HEIs) in the 21st century is not new technologies themselves, but the ability of educators to embrace educational technologies. Drawing on the qualitative data to emerge from interviews with accounting educators recognised as exemplary in their use of innovative technologies, this paper explores the reasons for lack of faculty uptake and argues for academics to become innovators rather than inhibitors. The findings offer a timely insight into a twenty-first century issue affecting HEIs and, specifically, accounting academics. While carried out in the Accounting discipline, the findings may be relatable and applicable to all disciplines. A suite of recommendations are proposed for institutions, business schools and academics to consider.

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This paper reports on the design and testing of a model, which evaluates the relationship components of a Web-based EServices Acceptance Model (E-SAM). The paper proposes that user experience, user motivation, perceived usefulness, perceived ease of use that may determine user acceptance of web-based eServices. The model is tested in a university environment where students and staff use services that have moved from an old paper-based to Web-based eService system. The results of data analysis highlight that user experience is strongly related to perceived ease of use; and perceived usefulness to user motivation in user acceptance of Web-based eServices. The strength of these relationships and the lack of strong relationships between other components suggest that the model's application to eServices is able to highlight the complexity of the eService process and the need for researchers to seek additional components in studying technology acceptance on the World Wide Web.

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This paper presents a meta-analysis-based technique to estimate the effect of common method variance on the validity of individual theories. The technique explains between-study variance in observed correlations as a function of the susceptibility to common method variance of the methods employed in individual studies. The technique extends to mono-method studies the concept of method variability underpinning the classic multitrait-multimethod technique. The application of the technique is demonstrated by analyzing the effect of common method variance on the observed correlations between perceived usefulness and usage in the technology acceptance model literature. Implications of the technique and the findings for future research are discussed.

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Ubiquitous and mobile computing has increased the level of social connectedness. In an era where technology has permeated into spaces of work, play and socializing, social influence has become an important consideration. The operationalization of the social influence construct in the technology adoption and use literature often assumes singular technology use contexts and purposes. We question whether social influence, as operationalized in IS, is reflective of the utilitarian, hedonic and social environment that many individuals operate in. We propose a framework to consider social influence more inclusively, drawing on differences in referent power and levels of expertise. We outline our research approach within the demographic segment of young working professionals. Research in this area is necessary to improve theoretical explanations of adoptive behavior of these technologies. We hope to contribute by suggesting a richer, more encompassing operationalization of the social influence construct for future IS research.

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E-book devices are a technological innovation that has been mass marketed to consumers as a revolution in the way that books will be read and stored. This paper extends previous research on technology adoption behaviour of individuals by focusing on the role of emotional connections people have towards e-books. A number of technology adoption models can explain the adoption of e-book devices such as the technology acceptance model, theory of planned action, theory of reasoned action and social cognitive theory. Due to the increased importance of social learning on a person’s behaviour, social cognitive theory is identified in this paper as being the most appropriate theoretical lens to understand the emotional connections a person has towards e-books. The findings from this paper may help to fill the gaps in academic discussion about what theory best explains a person’s behavioural intention towards technological innovations and the impact of marketing on this behaviour. In addition, the paper has a number of managerial implications including identifying the importance of an emotional connection to a technological innovation that influences the adoption process. The emphasis on emotional connection as mediating the way a person receives information about e-book devices may help to influence future marketing efforts of new technologies.

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This study found that user experience and perceived ease of use are the most important factors in considering the user acceptance of e-Services and that there is no significant relationship between user acceptance and continued use of e-Services. The Electronic Services Acceptance Model (E-SAM) explains user adoption of e-Services.

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In today’s global age, e-government services have become the main channel for online communication between the government and its citizens. They aim to provide citizens with more accessible, accurate, real-time and high quality services. Therefore, the quality of government websites which provide e-services is an essential factor in the successful adoption of e-government services by the public. This paper discusses an investigation of the effect of the Website Quality (WQ) factor on the acceptance of using e-government services (G2C) in the Kingdom of Saudi Arabia (KSA) by adopting the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. Survey Data collected from 400 respondents were examined using the structural equation modelling (SEM) technique and utilising AMOS tools. This study found that the factors that significantly influenced the Use Behaviour of e-government services in KSA (USE) include Performance Expectancy (PE), Effort expectancy (EE), Facilitating Conditions (FC) and Website Quality (WQ), while the construct known Social Influence (SI) did not. Moreover, the results confirm the importance of quality government websites and support systems as one of the main significant and influential factors of e-government services adoption. The results of this study can be helpful to Saudi’s governmental sectors to adjust their corporate strategies and plans to advance successful adoption and diffusion of e-government services (G2C) in KSA.