Toward an understanding of Web‐based subscription database acceptance

Kim, Jong-Ae

doi:10.1002/asi.20355

Cited by 37 publications

(32 citation statements)

References 74 publications

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“…The technology acceptance model (TAM; Davis, 1989) is the most widely used conceptual model in the technology‐acceptance literature. Following the introduction of TAM, numerous studies have replicated and extended Davis' work (e.g., Lee, Kozar, & Larsen, 2003), including some in the realm of digital libraries (e.g., Hong et al, 2002; Kim, 2006; Thong et al, 2002).…”

Section: Background and Literature Reviewmentioning

confidence: 95%

“…As with other new technologies (Venkatesh, Morris, Davis, & Davis, 2003), user acceptance is key to the effective use of digital libraries. Perceived ease of use (PEOU) has been identified as one of the key factors that motivates individuals to accept and use specific technologies (e.g., Davis, 1989), including digital libraries or their component services (Hong, Wong, Thong, & Tam, 2002; Kim, 2006). PEOU, however, captures the aggregated effects of a set of upstream factors that represent individual differences, organizational influences, and system characteristics (see, e.g., Agarwal & Prasad, 1999; Lewis et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Nov

Wang

2008

J. Am. Soc. Inf. Sci.

145

115

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The use of digital libraries has seen steady growth in the past two decades. However, as with other new technologies, effective use of digital libraries depends on user acceptance, which in turn is affected by users' perception of the system's ease of use. Since the introduction of new technologies often involves some form of change for users, the recent identification of the resistance to change (RTC) personality trait, and the development of a scale to measure it, provides an opportunity to assess the impact of RTC on new users of a digital library system. Drawing on prior research focused on personal differences and system characteristics as determinants of perceived ease of use, in the present study we explore the relationship between RTC and perceived ease of use of a university digital library. The results of a survey of 170 new users of the library system suggest that RTC is a significant determinant of perceived ease of use, and improves the explanatory power of previous technologyacceptance models. Implications of the findings are discussed.

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Section: Background and Literature Reviewmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Nov

Wang

2008

J. Am. Soc. Inf. Sci.

145

115

View full text Add to dashboard Cite

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“…Hong, Wong, Thong, & Tam, 2002; Venkatesh, 2000). For digital libraries, effort expectancy and performance expectancy are also confirmed as direct antecedents of user adoption intentions (Hong et al, 2002; Kim, 2006). Several studies have identified and assessed determinants of these two expectancies in the context of digital libraries.…”

Section: Background and Literature Reviewmentioning

confidence: 96%

Resistance to change and the adoption of digital libraries: An integrative model

Nov

Wang

2009

J. Am. Soc. Inf. Sci.

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In this paper we extend earlier work on the role of the personality trait of resistance to change (RTC) in the adoption of digital libraries. We present an integrative study, drawing on a number of research streams, including IT adoption, social psychology, and digital-library acceptance. Using structural equation modeling, we confirm RTC as a direct antecedent of effort expectancy. In addition, we also find that by affecting computer anxiety and result demonstrability, RTC acts as an indirect antecedent to both effort expectancy and performance expectancy, which in turn determine user intention to adopt digital library technology. Implications for research and practice are discussed. IntroductionA user's intention to adopt a new technology such as a digital library is influenced by a variety of beliefs and perceptions (Lee, Kozar, & Larsen, 2003). Among these factors, performance expectancy (PE, or perceived usefulness in earlier studies) and effort expectancy (EE, or perceived ease of use in earlier studies) of the new technology are widely accepted as the two key antecedents to adoption (Davis, 1989;Venkatesh, Morris, Davis, & Davis, 2003). Recent research in social psychology indicates that, as a personality trait, individuals' resistance to change (RTC) dictates how they respond to events such as the introduction of a new technology that brings potential changes to their well-practiced routines (Oreg, 2003(Oreg, , 2006Oreg et al., 2008). In a recent study, Nov and Ye (2008) found that users with high RTC tend to expect greater effort to be associated with using a new digital-library system. However, perception of the effort involved in using a new system is only one of the factors that determine the intention to adopt it. In the present study, we develop a substantially extended model that includes the direct and indirect relationships between RTC and both determinants (PE and EE) of adoption intention. Using a larger dataset, the new model connects RTC to intention to adopt in three ways:1. Directly-through effort expectancy, as was demonstrated in the study by Nov and Ye (2008). 2. Indirectly-through computer anxiety, which is associated with EE. 3. Through the other main antecedent of adoption intention, performance expectancy. In this case we show how result demonstrability mediates the relationship between RTC and PE.Overall, the goal of this study is to further explore the influence of RTC-within a nomological network of individual differences, system characteristics, and expectancies-on new users' intention to adopt a digital library. As such, the study contributes to the literature on digital libraries by providing better understanding of the factors underpinning digital-library systems' adoption. Background and Literature Review

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“…The TAM provides the opportunity to explore the factors affecting the individual’s (user’s) intention to use (IU) a technology/device 15,16. These include the user’s behavioral beliefs, ie, perceived usefulness (PU),15,16,18 and perceived ease of use (PEOU);15,16,18 user’s characteristics, eg, age,19 technological self-efficacy (TSE),19 and ability to afford a device;20 characteristics of technology, eg, device output quality (DOQ),21,22 cost,23 and perceived risk;24 and external factors, eg, subjective norm/social influence (SN/SI),23,25,26 and training and support 24. In addition, “trust” is an important independent construct in the TAM,25 and more broadly is an important factor in accepting/using health care technologies.…”

Section: Introductionmentioning

confidence: 99%

Factors determining patients' intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing

Shah¹,

Barnett²,

Kuljis³

et al. 2012

PPA

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PurposeTo identify factors that determine patients’ intentions to use point-of-care medical devices, ie, portable coagulometer devices for self-testing of the international normalized ratio (INR) required for ongoing monitoring of blood-coagulation intensity among patients on long-term oral anticoagulation therapy with vitamin K antagonists, eg, warfarin.MethodsA cross-sectional study that applied the technology-acceptance model through a self-completed questionnaire, which was administered to a convenience sample of 125 outpatients attending outpatient anticoagulation services at a district general hospital in London, UK. Data were analyzed using descriptive statistics, factor analyses, and structural equation modeling.ResultsThe participants were mainly male (64%) and aged ≥ 71 years (60%). All these patients were attending the hospital outpatient anticoagulation clinic for INR testing; only two patients were currently using INR self-testing, 84% of patients had no knowledge about INR self-testing using a portable coagulometer device, and 96% of patients were never offered the option of the INR self-testing. A significant structural equation model explaining 79% of the variance in patients’ intentions to use INR self-testing was observed. The significant predictors that directly affected patients’ intention to use INR self-testing were the perception of technology (β = 0.92, P < 0.001), trust in doctor (β = −0.24, P = 0.028), and affordability (β = 0.15, P = 0.016). In addition, the perception of technology was significantly affected by trust in doctor (β = 0.43, P = 0.002), age (β = −0.32, P < 0.001), and affordability (β = 0.23, P = 0.013); thereby, the intention to use INR self-testing was indirectly affected by trust in doctor (β = 0.40), age (β = −0.29), and affordability (β = 0.21) via the perception of technology.ConclusionPatients’ intentions to use portable coagulometers for INR self-testing are affected by patients’ perceptions about the INR testing device, the cost of device, trust in doctors/clinicians, and the age of the patient, which need to be considered prior to any intervention involving INR self-testing by patients. Manufacturers should focus on increasing the affordability of INR testing devices for patients’ self-testing and on the potential role of medical practitioners in supporting use of these medical devices as patients move from hospital to home testing.

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Toward an understanding of Web‐based subscription database acceptance

Cited by 37 publications

References 74 publications

Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Resistance to change and the adoption of digital libraries: An integrative model

Factors determining patients' intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing

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Toward an understanding of Web‐based subscription database acceptance

Cited by 37 publications

References 74 publications

Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Users' personality and perceived ease of use of digital libraries: The case for resistance to change

Resistance to change and the adoption of digital libraries: An integrative model

Factors determining patients&#39; intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing

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Product

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Factors determining patients' intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing