The complexities of electronic services implementation and institutionalisation in the public sector

This is the post-print version of the final paper published in Information & Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Electronic service implementation (ESI) in the public sector attempts to improve efficiency, effectiveness, and transparency of governmental departments. Despite having provided the necessary infrastructure and investment, many governments have struggled to realise such aims due to the various forces that challenge implementation and institutionalisation. Using institutional theory as a lens, we explored the forces influencing the implementation and institutionalisation of ESI in the public sector. While our results reinforced previous research in IT implementation and organisational transformation, they showed that the dynamic nature of technology poses unanticipated pressures, and that these can impede the implementation and institutionalisation process

The Impact of Decision Support Systems on the Effectiveness of Small Group Decisions - An Exploratory Study

This paper presents the results of an empirical investigation of the impact of Decision Support Systems on small group decision effectiveness. The study is conducted in the context of the Business Management Laboratory. Wolfe’s Business Management Laboratory Decision Support System (BMLDSS) was utilized to aid decision making by all treatment groups. Results indicate use of the BMLDSS did not lead to significantly superior performance as measured by financial performance variables. Further, no significant increase in satisfaction with or confidence in the decision making process could be attributed to the use of the BMLDSS

An Empirical Investigation Of Integrated Spatial-Proximity MCDM-Behavioral Problem Solving Technology Group Decision Models

This paper presents the results of an empirical test of two integrated spatial-proximity MCDM Behavioral Problem Solving technology models of group decision making. The performance of these models is compared to the performance of a non- integrated MCDM model for a strategic operations decision. The experiment is conducted in the context of the Business management Laboratory simulation game. Evidence relating to conflict in the decision making exercise is also discussed

The Impact of Decision Support Systems On The Effectiveness Of Small Group Decisions -Revisited

This paper presents the results of an empirical investigation of the impact of Decision Support Systems on small group decision effectiveness. The study is conducted in the context of the Business Management Laboratory. Two production function modules from Wolfe's Business Management Laboratory Decision Support System (BMLDSS) were utilized to aid decision making by all treatment groups. Results indicate the use of these modules improved decisionmaking performance in the second year of play as measured by manufacturing costs and Earnings/CGS. Debriefing indicated that two control groups developed informal DSS outside of the laboratory setting. Reanalysis of the performance data with this fact in mind indicated treatment groups' performance was superior to control groups' only for Earnings/CGS in the second year. The results of a questionnaire administration dealing with the subjects' feelings about the DSS are also discussed

Simulation Gaming As an Experimental Context for the Study Of Multicriteria Decision Making

While theoretical development of discrete multicriteria decision making (MCDM) models has proceeded apace over the last fifteen years, there has been a disappointing lack of empirical testing and validation studies. A major reason for this phenomenon is the unavailability of common decision making environments to serve as a context for such studies. This paper proposes simulation gaining as an experimental context for the study of multicriteria decision making. To illustrate the use of simulation gaming for this purpose, results of a study of two integrated MCDM-Behavioral models of group decision making conducted in tile experimental context of the Business Management Laboratory are presented

Quality improvement in an inventory model with finite-range stochastic lead times

Typically, traditional inventory models operate under the assumption of perfect quality. In this paper we modify an inventory model with finite-range stochastic lead time to allow for a random number of defective units in a lot. However, there is an extra cost for holding the defective items in the lot for the period before it is returned to the supplier. This paper also considers the option of investment to improve quality. Closed-form relationships are obtained for a quality-adjusted model as well as a quality improvement model. Numerical examples confirm that the option of investment in quality improvement results in significant cost savings. Sensitivity analysis shows that the quality improvement model is robust