The role of exogenous factors in technology acceptance: The case of object-oriented technology

Lee, Sang M.; Kim, Injai; Rhee, Shanggeun; Trimi, Silvana

doi:10.1016/j.im.2005.11.004

Cited by 72 publications

(49 citation statements)

References 47 publications

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“…Individual factors comprise usefulness of an innovation, personal initiative, prior experience, unique individual ability 12 and enjoyment issues. Literature provides strong support in favour of the argument that individual factors drive innovation in a significant way (Al-Gahtani & King, 1999;Davis, 1989;Igbaria, Parasuraman, & Baroudi, 1996;Lewis, Agarwal, & Sambamurthy, 2003;Venkatesh & Davis, 2000;Lee, Kim, Rhee, & Trimi, 2006). The specific results are presented under the following specific issues:…”

Section: Individual Factorsmentioning

confidence: 99%

“…Organizational influences can motivate employees to adopt an innovation. Training increases level of confidence in the ability of an individual to learn and practice an innovation because training enhances individual skills and abilities in performing similar jobs (Lee, Kim, Rhee, & Trimi, 2006). Managerial support is associated with greater level of adoption and acceptance of an innovation, while conversely lack of organizational support is considered to create problems when innovations are being considered (Lee, Lee, & Kwon, 2005).…”

Section: Organizational Factorsmentioning

confidence: 99%

“…These studies developed useful conceptual frameworks in specifying the innovation adoption process by proposing some useful constructs. Lee, Kim, Rhee, & Trimi (2006) This paper identified some external factors affecting technology acceptance behavior. This quantitative paper tested a model of innovation acceptance by introducing a number of factors including training and found a direct influence of training on actual usage without any mediating effect.…”

Section: Social Factorsmentioning

confidence: 99%

“…Individual Factors Lewis et al (2003) Lee, Kim, Rhee, & Trimi (2006) The studies investigated the impact of individual and managerial factors on technology use in work place. Both studies used quantitative methods and were based on established theory such as TAM.…”

mentioning

confidence: 99%

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Exploring the Factors Affecting Employees’ Adoption and Use of Innovation

Talukder

Quazi

2010

AJIS

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This paper explores the factors affecting Australian organizations" employees in their adoption and use of innovative technologies. Using a qualitative research strategy, this paper uses a series of in-depth interviews and focus group discussions with academic and administrative employees at a university in Australia. The qualitative approach is considered to have a deeper insight into the complexities and dynamic factors that influence the adoption of innovative processes in organizational settings. The findings of this research highlight the need for a broader understanding of the key factors affecting employees" decisions to adopt innovation. The results provide important clues for comprehending the factors influencing and determining employees" adoption and continued use of innovation in the workplace. With the trend towards end-user applications of technological innovation increasing, the results suggest some guidelines in effectively and efficiently managing the adoption process of innovation in organizational settings. This paper highlights the implications for management practices relating to innovation management in Australia"s tertiary sector. Finally, this paper identifies possible limitations and areas of future research in this field.

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Section: Individual Factorsmentioning

confidence: 99%

Section: Organizational Factorsmentioning

confidence: 99%

Section: Social Factorsmentioning

confidence: 99%

mentioning

confidence: 99%

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Exploring the Factors Affecting Employees’ Adoption and Use of Innovation

Talukder

Quazi

2010

AJIS

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“…TAM theory is widely used in research contexts as well as with several types of technology applications (Chau and Hu, 2001;Lee et al, 2006;Raitoharju, 2007;Yarbrough and Smith, 2007). TAM uses for generating explanations for the factors of technology acceptance that are transferable to different user populations and different kinds of technologies.…”

Section: Technology Acceptance Theorymentioning

confidence: 99%

A Questionnaire Approach Based on the Technology Acceptance Model for Mobile Tracking on Patient Progress Applications

Abu-Dalbouh¹

2013

Journal of Computer Science

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Healthcare professionals spend much of their time wandering between patients and offices, while the supportive technology stays stationary. Therefore, mobile applications has adapted for healthcare industry. In spite of the advancement and variety of available mobile based applications, there is an eminent need to investigate the current position of the acceptance of those mobile health applications that are tailored towards the tracking patients condition, share patients information and access. Consequently, in this study Technology Acceptance Model has designed to investigate the user acceptance of mobile technology application within healthcare industry. The purpose of this study is to design a quantitative approach based on the technology acceptance model questionnaire as its primary research methodology. It utilized a quantitative approach based a Technology Acceptance Model (TAM) to evaluate the system mobile tracking Model. The related constructs for evaluation are: Perceived of Usefulness, Perceived Ease of Use, User Satisfaction and Attribute of Usability. All these constructs are modified to suit the context of the study. Moreover, this study outlines the details of each construct and its relevance toward the research issue. The outcome of the study represents series of approaches that will apply for checking the suitability of a mobile tracking on patient progress application for health care industry and how well it achieves the aims and objectives of the design.

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Determining factors of academic library Web site usage

Heinrichs

Lim

et al. 2007

J. Am. Soc. Inf. Sci.

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This study develops three alternative models of academic library Web site usage based on the Technology Acceptance Model (TAM). The three alternative models depict relationships among various intrinsic and extrinsic determinant factors of an academic library's Web site usage. The four factors included in the models are perceived ease-of-use, perceived usefulness, service functionality, and task functionality. These four factors are hypothesized to affect directly or indirectly both factors of satisfaction and intention-to-use. LISREL analysis using survey data shows that the best-fit model is the "Dual Mediation Impact" Model. Research and managerial implications for the academic library are discussed. Future research directions and limitations also are provided.

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The role of exogenous factors in technology acceptance: The case of object-oriented technology

Cited by 72 publications

References 47 publications

Exploring the Factors Affecting Employees’ Adoption and Use of Innovation

Exploring the Factors Affecting Employees’ Adoption and Use of Innovation

A Questionnaire Approach Based on the Technology Acceptance Model for Mobile Tracking on Patient Progress Applications

Determining factors of academic library Web site usage

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