Computerizing Accounting Systems in Developing Bureaucracies: Lessons from Kenya

Kenya's agriculture ministries are reforming their accounting systems and the reform includes computerization. This article examines the impact of computers on accounts and the lessons that can be drawn from Kenya about building computerized accounting systems.
Four propositions emerge about the impact of computers on the accounting systems. First and surprisingly, the initial impact of computers is indirect. Their primary impact is to strengthen the manual accounts which the ministries continue to rely upon. Second, computers promote effectiveness reforms by changing procedures, rather than efficiency reforms by accelerating the throughput of data with existing procedures. Third, computers do not initially promote document processing but do improve data processing. Fourth, computers do promote rudimentary analysis.
One conclusion from the Kenya case is that modular implementation of computerized accounting is helpful. Implementing modules rather than an integrated system means that accounting reforms can begin without waiting for lengthy procedural reforms. Modular implementation also facilitates agency involvement in the design of the system.     

Procedural fairness and organizational commitment under conditions of growth and decline

We surveyed employees from seven relocating firms undergoing either an expansion or decline. Employees' judgments of procedural fairnes regarding the decision procedures used to implement the change showed a stronger effect on normative commitment for sites undergoing decline than for those undergoing growth. Procedural fairness concerns therefore seem to be more important to employees experiencing organizational decline. The finding has implications for research and for the management of organizational decline.     

A Note on the Use of County-Level UCR Data

County-level crime data have major gaps, and the imputation schemes for filling in the gaps are inadequate and inconsistent. Such data were used in a recent study of guns and crime without considering the errors resulting from imputation. This note describes the errors and how they may have affected this study. Until improved methods of imputing county-level crime data are developed, tested, and implemented, they should not be used, especially in policy studies.