Beliefs about Computing: Contrary Evidence from a Study of Mobile Computing Use among Criminal Justice Personnel

Tapia, Andrea H.; Sawyer, Steve

doi:10.1007/0-387-28918-6_10

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…The report indicates that there has been 7% increase in all categories of crime reported to police stations since 2011. The report also depicts that most crimes go unreported to the police because of factors that range from victimisation, 'fear of the police', shame and lack of an appropriate tool to report the crimes to the police [7].…”

Section: Introductionmentioning

confidence: 99%

The adoption of mobile technology as a tool for situational crime prevention in Kenya

Oduor

Acosta

Makhanu

2014

2014 IST-Africa Conference Proceedings

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The adoption of mobile technology in crime prevention has substantially grown across the world. However, this is not the case in Kenya, because the public still have to go from one police station to another to report crimes and to receive general services from the police. The crime records are usually recorded manually in police Occurrence Book (OB) and therefore determining the accurate crime trends and rates of reported crimes has proved to be a major hurdle in crime prevention for the Kenya police. This study aimed at developing a mobile application that would aid the Kenyan public to report crimes to the nearest police station, receive alerts on new crime spot areas, query information about arrested individuals and encourage community policing. The study also involved the development of a back-end webbased prototype that incorporated a digitised OB and a criminal database. The mobile Android application was tested on various devices and the test results ascertained. The study revealed that most users would use the mobile-police application because of convenience, reduced fear of victimisation and ease of use.

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Section: Introductionmentioning

confidence: 99%

The adoption of mobile technology as a tool for situational crime prevention in Kenya

Oduor

Acosta

Makhanu

2014

2014 IST-Africa Conference Proceedings

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“…Although searching, retrieving, and exchanging information may not be a police officer's core activity, it is a very critical aspect of what they do and relates to many tasks they have to carry out (Tapia and Sawyer, 2005). On the basis of this insight, we want to nuance the hypotheses regarding the mediating effect of media fit.…”

Section: Police Tasksmentioning

confidence: 96%

“…Several studies describe new mobile technologies that police officers may use in their work. Tapia and Sawyer (2005) discuss the implementation and use of PDA and the use of 3G networks in a field trial, while Sørensen and Pica (2005) provide an overview of the use of mobile data terminals, personal radio, and mobile phones by vehicle response teams. With regard to new mobile devices, they conclude that voice communication is crucially important and that the use of displays can be highly risky: having to look at a screen instead of observing and communicating with suspects may put police officers in personal danger in urgent and stressful situations.…”

Section: Police Tasksmentioning

confidence: 99%

Coppers Context, and Conjoints: A Reassessment of Tam

Bouwman

Wijngaert

2009

Journal of Information Technology

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This study examines the role and explanatory value of context-, task-and informationrelated characteristics vis-a-vis individual characteristics in relation with respect to the adoption of mobile technologies and applications. We combine insights from adoption and acceptance literature with media choice and task-technology fit theories. These insights are applied to a case in which police officers use mobile communication tools and information technologies. Officers were asked which mobile applications they preferred to use in specific situations (contexts) and for specific tasks. In a structural equation model focusing exclusively on individual TAM-related characteristics, such as perceived usefulness and perceived ease of use, as well as on a generic media fit concept, the explanatory value of these concepts turns out to be high. We extend our study, based on Ajzen and Madden (1986) by arguing that, in addition to personal characteristics, contextual characteristics, in combination with task-related characteristics, play an important role in people's preferences for specific technologies. Conjoint analysis focusing on contextual and task-related characteristics yields relevant insights. When contextrelated and individual characteristics are combined into a single hierarchical linear model, the significance of the concepts used in TAM turns out to be low, while context-related issues stand out. On the basis of our research, we conclude that TAM models are too generic to fully explain people's intention to use mobile technologies. Future research should aim at developing models that take contextual and task-related factors into account when studying mobile applications.

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“…Tapia and Sawyer [25] discuss the implementation and use of PDA and the use of 3G networks in a field trial. Pica & Sørensen [19] provide an overview of the use of Mobile Data Terminals, personal radio and mobile phones for vehicle response teams.…”

Section: The Context Of Police Officersmentioning

confidence: 99%

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

Bouwman

Wijngaert

Vos

2008

2008 7th International Conference on Mobile Business

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This paper focuses on the explanatory value of context parameters and individual characteristics for preferences of police officers for mobile applications. Starting from adoption and acceptance (DoI and TAM), media choice and task-technology fit (TTF) theories, we collected data from police officers, who were asked which specific communication devices they preferred in specific situations. Our analyses show that the explanatory value of individual parameters is high when tested in a model that focuses exclusively on individual characteristics. In addition, context characteristics also play an important role in the preference with regard to specific communication technologies, as conjoint analysis shows. When we include context and individual characteristics into a single model, the results show that the significance of the TAM concepts is low and the context-related issues become more important. TAM models are too generic to understand behavior with regard to mobile technologies. Research should take contextual factors into account.

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Beliefs about Computing: Contrary Evidence from a Study of Mobile Computing Use among Criminal Justice Personnel

Abstract: In

Cited by 5 publications

References 18 publications

The adoption of mobile technology as a tool for situational crime prevention in Kenya

The adoption of mobile technology as a tool for situational crime prevention in Kenya

Coppers Context, and Conjoints: A Reassessment of Tam

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

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