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.
Subject area
Decision Analysis, Management Information Systems, Strategic Management, Organizational Development, Financial Management, Risk Management.
Study level/applicability
MBA-1 (Decision Analysis), MBA-2 (MIS).
Case overview
On a beautiful October morning in 2011, the CEO of a mid-size oil marketing company located in Nairobi, Kenya has to make a tough decision whether to upgrade their current B1 system to a bigger version of SAP. Abbas, the new Information Communications Technology (ICT) Director of Zaidi Group, was worried that Zaidi was building a bigger and bigger company on top of a more and more small enterprise resource planning system. Abbas's fears also include RedLock's past inefficiencies. Kariuki, the Finance Director, on the other hand was into the fear of overspending in a huge information technology (IT)system where current functionalities required can be addressed by a smaller system through add-ons, customization and development.
Expected learning outcomes
Demonstrate some tools in decision analysis for problems with multiple objectives including some issues indecision framing and cognitive inertia; Raise the issue for fundamentally changing a firm's infrastructure; Demonstrate the alignment of IT strategy to Business Strategy.
Supplementary materials
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