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Inherent in MIS applications undergoing development are elements of risk and a potential for failure. A strategy for choosing a development approach based on project risk is presented. Project risk is examined in the light of project size, a development group's experience with a technology and project structure. Three development approaches are considered: SDLC, prototyping and end‐user development. The simple and joint outcomes of project risk vis‐à‐vis development approach are described along with the proposed strategy.

This paper aims to solve the stated limitations through (i) exploring usages of scenarios and (ii) proposing a lightweight iterative requirement exploration process that utilizes scenarios to transform the vague ideas of the developers into concrete application’s vision. The explosive growth in pervasiveness, programmability and computational capability of smartphones and tablets unlocks the possibility for many uses of technology, including end-user development (EUD) where end-users create applications as pragmatic tools for their work and hobbies. An extensive amount of research effort has been done to solve EUD challenges; however, the focus of such research lies mainly on designing and implementing software applications.

Based on review on existing application of usage scenario in software application development, we proposed SRE – a scenario-based requirement exploration method and MobiPSE – a lightweight software process that applies SRE. Two EUD projects performed by undergraduate students were used as case studies to test and fine-tune methods.

This paper proposes MobiPSE – a lightweight iterative software process that resolves around our proposed SRE method. Through case studies on MobiPSE, we confirmed that MobiPSE works in real-life scenarios and emphasized two points: ad hoc training has limited effect and lack of technical expertise can still leave a negative impact on requirement exploration process.

Because of the limited number of case studies performed for testing and tuning purpose, the proposed methods may not be able to satisfy all cases of EUD. MobiPSE can be fine-tuned further with additional case studies of different scale and team structure.

This paper fulfils the need for a lightweight method for exploring requirements and ideas in a EUD project based on creating and analyzing possible usage scenarios.

South Africa still has a considerable housing shortage. Government has tried to overcome this situation by creating programs to provide affordable housing to poor people. However, such housing is either often rejected by the beneficiaries or these express considerable dissatisfaction. This paper thus examines how value is constructed by key role players by looking at the building requirements that they promote, and asks whether there are any significant differences between the perceptions of housing providers and that of end-users, based on building requirements and location indicators. The rationale for the paper stems from the detection that low cost housing projects provided by government housing departments in South Africa (specifically, within the Western Cape Province) are either abandoned or considered non-satisfactory by beneficiaries and, therefore, seemingly not valued by them. This leads to the perception that low cost housing developments are unsustainable.

The methodology used in the paper is based on value management, and urban and social studies literature, and on a multi-case study comprising of three low-cost housing developments.

Results show that there are significant differences between the perception of key role players regarding what are important building requirements and location indicators and the corresponding end-user preferences based on location of the development.

Following the qualitative research approach used in the research, the main study limitations encountered include communication, because the low cost housing beneficiaries are predominately non-English speaking and have low level of literacy. This required the use of oral interviews, interpreters and translation of a significant number of the surveys into English. The data collected are therefore limited to the accuracy of the translations made by the translator.

Results suggest that end-user preferences must be taken into consideration by the government and the design team when planning low-cost housing developments in South Africa, and that this could be achieved by involving the end-users in decision-making during the low-cost housing development process.

This paper is of value to the national and provincial government in South Africa because it outlines the reasons for the lack of happiness and satisfaction among the poor and disadvantaged members of the community in the low cost government subsidised housing, and it suggests steps that can be taken by government to mitigate the housing problems. The paper is also of value to other key stakeholders such as the design consultants, contractors and government officials involved in the housing delivery process.

An alarming number of spreadsheet faults have been reported in the literature, indicating that effective and easy-to-apply spreadsheet testing techniques are not available for “non-technical,” end-user programmers. The purpose of this paper is to alleviate the problem by introducing a metamorphic testing (MT) technique for spreadsheets.

The paper discussed four common challenges encountered by end-user programmers when testing a spreadsheet. The MT technique was then discussed and how it could be used to solve the common challenges was explained. An experiment involving several “real-world” spreadsheets was performed to determine the viability and effectiveness of MT.

The experiment confirmed that MT is highly effective in spreadsheet fault detection, and yet MT is a general technique that can be easily used by end-user programmers to test a large variety of spreadsheet applications.

The paper provides a detailed discussion of some common challenges of spreadsheet testing encountered by end-user programmers. To the best of the authors knowledge, the paper is the first that includes an empirical study of how effective MT is in spreadsheet fault detection from an end-user programmer's perspective.

The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context.

Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design science methodology to deliver a cutting-edge decision support solution, which provides user-centric provisions through the use of design environment and ontology techniques.

The DSS artefact as collective information technology applications through the application of design science knowledge can effectively be designed to meet decision makers’ contextual needs in an agricultural industry context.

The study has limitations in that it was developed in a case study context and remains to be fully tested in a real business context. It is also assumed that the domain decisions can be parameterised and represented using a constraint programming language.

The paper concludes that the DSS artefact design and this development successfully overcomes some of the limitations of traditional DSS such as low-user uptake, system obsolescence, low returns on investment and a requirement for continual re-engineering effort.

The design artefact has the potential of increasing user uptake in an industry that has had relevancy problems with past DSS implementation and has experienced associated poor uptake.

The design science paradigm provides structural guidance throughout the defined process, helping ensure fidelity both to best industry knowledge and to changing user contexts.

The evolution of online instruction in the United States has been characterized by increasing sensitivity to the experiential contexts of end users. Two conceptual teaching models are described which recognize and extend end users' existent knowledge. The database model and the network model facilitate end users' interrogation of information retrieval (IR) systems through representation of systems' internal structures and functional outcomes. Evaluation results have shown that these instructional approaches cultivate end‐ users' development of mental models which enable them to make appropriate inferences and predictions during online decision making.

The objective of this paper is to offer a validated framework for the analysis of (future) risks and uncertainties involved in the decision‐making process concerning the upgrade and roll‐out of large infrastructural projects, e.g. broadband networks. The framework classifies risks and uncertainties based on the nature of the risks, levels and sources.

The approach takes the form of conceptual as well as qualitative and quantitative empirical analyses.

Telecommunications operators are faced with various types of risks and uncertainties in their decision‐making process concerning the upgrade and roll‐out of their broadband networks. In one respect, these risks and uncertainties have to do with the characteristics of large infrastructural projects, while, on the other hand, being caused by (unknown) competitor behaviour, (unknown) end‐user demand, rapid technological development and different development paths available to operators. Framing risks and uncertainties into a typology provides greater insight into the categories, characteristics and sources of the risks and uncertainties, as well as being a first step in finding ways to deal with them.

The paper presents and validates a framework for the analysis of risks and uncertainty. It also offers empirical data on how operators manage risk and uncertainties.

An overview of the developments in cd‐roms is presented. Aspects covered include changes in coverage, the use of cd‐roms in libraries and information units, changes in search interface and growth in end‐user searching, changes in cd‐rom publishers, hardware and networking developments.

The functions or tasks of the typical webmaster appear to be extremely diverse in nature. These can vary from basic web page design to gathering website statistics or even to establishing the web‐based information needs of the employees of a specific organisation. Although a number of mainly electronic documents were written on the functions of the webmaster, not many studies were undertaken to empirically verify these. This article discusses the results from an international survey in which the webmasters or managers of web teams were involved from 100 of the Global 500 list of organisations. An analysis of the information provided by the respondents indicated that one person (the traditional webmaster) can no longer be responsible for all the responsibilities of developing and/or maintaining the information flow within an organisation‘s website. The diversity of tasks that were identified by the respondents were analysed and the results brought together in a number of figures and tables.

Big data has raised challenges and opportunities for business, the information technology (IT) industry and research communities. Nowadays, small and medium-sized enterprises (SME) are dealing with big data using their limited resources. The purpose of this paper is to describe the synergistic relationship between big data and knowledge management (KM), analyze the challenges and IT solutions of big data for SME and derives a KM model of big data for SME based on the collected real-world business cases.

The study collects eight well-documented cases of successful big data analytics in SME and conducts a qualitative data analysis of these cases in the context of KM. The qualitative data analysis of the multiple cases reveals a KM model of big data for SME.

The proposed model portrays the synergistic relationship between big data and KM. It indicates that strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products are the major constructs of KM of big data for SME. These constructs form a loop through the causal relationships between them.

The number of cases used for the derivation of the KM model is not large. The coding of these qualitative data could involve biases and errors. Consequently, the conceptual KM model proposed in this paper is subject to further verification and validation.

The proposed model can guide SME to exploit big data for business by placing emphasis on KM instead of sophisticated IT techniques or the magnitude of data.

The study contributes to the KM literature by developing a theoretical model of KM of big data for SME based on underlying dimensions of strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products.