While past studies on user-interface design focused on a particular system or application using the experimental approach, we propose a theoretical model to assess the impact of perceived user-interface design (PUID) on continued usage intention (CUI) of self-paced e-learning tools in general. We argue that the impact of PUID is mediated by two variables, namely perceived functionality (PF) and perceived system support (PSS), which influence perceived usefulness (PU) and perceived ease of use (PEOU), respectively. We empirically validated the model using data collected from a survey administered to university students in Hong Kong. We found that most hypotheses are valid and PUID is an important antecedent of CUI of a self-paced e-learning tool. We also showed that PU and user satisfaction (USat) are two essential predictors of CUI. However, the impact of PEOU on CUI is indirect via PU as a mediator. Our findings enrich the theory on the continued usage of technology, and provide e-learning developers with managerial insights on how to entice learners to continue using their e-learning tools.

The role of perceived user-interface design in continued usage intention of self-paced e-learning tools

A multi-objective model for locating fire stations

When a company decides to merge with or to acquire another company, a major question is to what extent to integrate the information technologies and the organization. Interpreting merger objectives to proper IT integration strategies is a complex and time-consuming process, due to a lack of explicit understanding of the problems involved. The current literature in this field is meager and has not yet resulted in a theory. For this purpose, we developed a variant of the IT alignment model. In this model, we identify three ambition levels of mergers and IT integration from the literature. Additionally, we describe four integration methods that fit with these ambitions. The relations between these objectives and methods are moderated by contextual factors. Three hospital cases, with different merger and IT integration ambitions, describe the practice of this model. The case studies also add several new variables and relations to it. This result facilitates further research in post-merger IT integration by delivering an empirical research model.

Post-merger IT integration strategies: An IT alignment perspective

Although mergers and acquisitions (M&A) are a common strategy to reduce costs and pursue growth, the variance in returns from M&A is very high. This research examines how information technology (IT) infrastructure flexibility affects M&A. We use a combination of secondary as well as matched-pair survey data from 100 mid-size firms in Spain to investigate this relationship. The empirical analysis suggests that IT infrastructure flexibility affects M&A through two key pathways: (1) a flexible IT infrastructure facilitates the development of business flexibility that provides the responsiveness to seize M&A opportunities and make acquisitions, and (2) a flexible IT infrastructure facilitates the development of post-M&A IT integration capability that provides the control to integrate the IT and business resources of the acquired firm and realize the economic benefits from M&A.

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Impact of Information Technology Infrastructure Flexibility on Mergers and Acquisitions

Post-merger systems integration: the impact on IS capabilities

Corporate mergers and the problems of IS integration

Like many operations research models, ambulance location models suffer from lack of practical implementation by those who could benefit from them. A major obstacle to adoption of such models is the emphasis their developers place on abstract mathematical principles, which overshadow the functional purpose of the models. This focus leads to impracticality in the presentation and usage of models, owing to such attributes as complex computer interfaces, cumbersome input and output procedures, and non‐intuitive presentation of results. Suggests a solution to these problems, in the form of a graphical interface system called ALIAS (Ambulance Location Identification and Analysis System).

Carol J. Jeffries

Papers

Corporate mergers and the problems of IS integration

ALIAS: A Graphical User Interface for an Ambulance Location Model