Context-Sensitive Mobile Services for Police Officers: A Re-assessment of TAM

Bouwman, Harry; Wijngaert, Lidwien van de; Vos, Henny de

doi:10.1109/icmb.2008.18

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…Part of this is due to the model variables not including some of the specific characteristics unique to mCDS. Previous researchers have criticized the exclusive use of models to explain drivers or barriers for engagement with technology for this very reason [ 28 , 29 ]. Although existing models may explain an individual’s intention to use a given technology such as mCDS, they lack solutions to overcome context-specific barriers to engagement.…”

Section: Discussionmentioning

confidence: 99%

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Patel¹,

Green²,

Shahzad³

et al. 2015

JMIR mHealth uHealth

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BackgroundClinical decision support (CDS) tools improve clinical diagnostic decision making and patient safety. The availability of CDS to health care professionals has grown in line with the increased prevalence of apps and smart mobile devices. Despite these benefits, patients may have safety concerns about the use of mobile devices around medical equipment.ObjectiveThis research explored the engagement of junior doctors (JDs) with CDS and the perceptions of patients about their use. There were three objectives for this research: (1) to measure the actual usage of CDS tools on mobile devices (mCDS) by JDs, (2) to explore the perceptions of JDs about the drivers and barriers to using mCDS, and (3) to explore the perceptions of patients about the use of mCDS.MethodsThis study used a mixed-methods approach to study the engagement of JDs with CDS accessed through mobile devices. Usage data were collected on the number of interactions by JDs with mCDS. The perceived drivers and barriers for JDs to using CDS were then explored by interviews. Finally, these findings were contrasted with the perception of patients about the use of mCDS by JDs.ResultsNine of the 16 JDs made a total of 142 recorded interactions with the mCDS over a 4-month period. Only 27 of the 114 interactions (24%) that could be categorized as on-shift or off-shift occurred on-shift. Eight individual, institutional, and cultural barriers to engagement emerged from interviews with the user group. In contrast to reported cautions and concerns about the impact of clinicians’ use of mobile phone on patient health and safety, patients had positive perceptions about the use of mCDS.ConclusionsPatients reported positive perceptions toward mCDS. The usage of mCDS to support clinical decision making was considered to be positive as part of everyday clinical practice. The degree of engagement was found to be limited due to a number of individual, institutional, and cultural barriers. The majority of mCDS engagement occurred outside of the workplace. Further research is required to verify these findings and assess their implications for future policy and practice.

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Section: Discussionmentioning

confidence: 99%

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Patel¹,

Green²,

Shahzad³

et al. 2015

JMIR mHealth uHealth

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show abstract

“…Previous studies indicate that the use context closely relates to the intention to use a technology particularly when situated in a diversity of social contexts. Studying the police's adoption of mobile services, Bouwman et al (2008) found that context characteristics play an important role in the use of specific communication technologies. Van de Wijngaert and Bouwman (2009) found that the adoption and use of technology is context-dependent.…”

Section: Use Contextmentioning

confidence: 99%

Mobile internet diffusion in China: an empirical study

Yong

Li²

2010

Industrial Management &Amp; Data Systems

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Purpose -The purpose of this paper is to investigate the diffusion process of mobile internet use (MIU) in China and to explore the determinants driving MIU. Design/methodology/approach -A survey was conducted to collect data to empirically assess the research model. In total, 736 usable responses were collected using a questionnaire derived from previous research. Both the structural equation model and partial least squares were used to study the model concerning different user groups. Findings -The results indicate that there are significant differences in the users' perceptions of mobile internet usage during its different innovation diffusion stages. Of the determinants, perceived enjoyment is the most important predictor of MIU. Practical implications -In addition to motivating users by making services more enjoyable, the findings suggest that practitioners should take the differences of adopter groups into account. Making the mobile internet easy to use and compatible with users' lifestyles would promote the use of technology as well. Originality/value -Few studies have investigated the differences between user groups when studying mobile internet diffusion, especially in China, which is reaching a critical stage in this regard.

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“…Drawing from the Rational Choice Theory, privacy concern would have negative impact on intention to use. Therefore, H2: Privacy concern has negative effect on intention to use Present research found that intention to use depends on the situational context [29]. Users regarded as rational person, when facing with various LBS contexts, they would make the choice by priority of emergency and essentiality according with the "Time Management" theory.…”

Section: Theory Foundation and Hypothesismentioning

confidence: 99%

The Impact of Perceived Emergency and Essentiality on Perceived Privacy Risk, Privacy Concern and Intention to Use in Mobile LBS Environment: An Example of China Mobile and Unicom

Wang

Zhang

2009

2009 Eighth International Conference on Mobile Business

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With the popularization of mobile devices and the rapidly development of LBS, users concern on privacy aroused by services depending on personal location information needed. To strengthen the current research in LBS, combine time management theory and rational choice theory, this paper aims to explore the effect of situational antecedent factors-perceived emergency and perceived essentiality on perceived privacy risk, privacy concern and intention to use. The experimental study was conducted and the findings indicate that perception of emergency and essentiality of a website characteristics have positive effect on intention to use not but on perceived privacy risk and privacy concern. Privacy concern has significant negative effect on intention to use. However, does not consistent with prior literature, the perceived privacy risk has significant direct effect on privacy concern not but on intention to use.

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Context-Sensitive Mobile Services for Police Officers: A Re-assessment of TAM

Cited by 9 publications

References 21 publications

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Mobile internet diffusion in China: an empirical study

The Impact of Perceived Emergency and Essentiality on Perceived Privacy Risk, Privacy Concern and Intention to Use in Mobile LBS Environment: An Example of China Mobile and Unicom

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