Developing end-users' systems development competence: an exploratory study

TL;DR: A comparative performance analysis of artificial Neural networks, MDA and chance showed that artificial neural networks predict better in both training and testing phases, and are promising as an alternative to traditional analytic tools like MDA.

TL;DR: This work identifies a set of styles that is characteristic of how IS action researchers compose their argument and reveals important strengths and weaknesses in the composition of styles within the IS discipline.

TL;DR: The impact of using a structured design approach for spreadsheet development is explored and subjects using the design approach showed a significant reduction in the number of ‘linking errors,’ i.e., mistakes in creating links between values that must connect one area of the spreadsheet to another or from one worksheet to another in a common workbook.

TL;DR: There was a significant improvement in the overall design of an application after an end-user received analysis and design training, which is important information for business managers because a well designed application is more likely to remain accurate and useful over time.

TL;DR: The education provided the users with qualifications which partly compensated the defects in the technical information system and facilitated the visibility of organizational collaboration when mediated by the computer.

TL;DR: Many of us have serious reservations about action learning, at least in its more extreme forms, as represented by some of Reg Revans' own writings and, in the recent collection of papers in Revans's honour, by Jarvis and Marsh's article.

TL;DR: Data Dictionaries, value-added dictionaries and directories, requirements database systems, and emerging “system encyclopedias” are discussed as keys to many of the evolving system development environments.