Within the information systems field, the task of conceptual modeling involves building a representation of selected phenomena in some domain. High-quality conceptual-modeling work is important because it facilitates early detection and correction of system development errors. It also plays an...

Over recent years, many scholars have studied the conceptual modeling of information systems based on a model of representation formulated by Wand and Weber. This model offers a set of premises about representational deficiencies and their implications for development and use of conceptual...

Drawing on the approach and avoidance framework in the core self-evaluation literature, this study proposes that core self-evaluation may not only prompt a person to acquire more job-related knowledge but may also inspire employees' intrinsic motivation for their jobs and indirectly help the...

This paper introduces a web-based tourism demand forecasting system (TDFS) that is designed to forecast the demand for Hong Kong tourism, as measured by tourist arrivals, total and sectoral tourist expenditures, and the demand for hotel rooms. The TDFS process comprises three...

It is almost a cliche to say that we live in a knowledge society and that knowledge is an important resource of firms in their production of goods and provision of services to their clients. However it is not so easy to find many examples showing the use of domain knowledge in financial...

Recommender systems have been used successfully in order to deal with information overload problems in a wide variety of domains ranging from e-commerce, e-tourism, to e-learning. They typically predict the ratings of unseen items by a user and recommend the top N items based on user's profile....

Applying Performance Management Systems (PMS) in an enterprise often is a cumbersome endeavor. Reasons are missing software structures and the lack of an intuitive visualization of important information. The theory of Visibility of Performance defines the goodness of use of a given PMS and can...

To improve forecasting accuracy, combine forecasts derived from methods that differ substantially and draw from different sources of information. When feasible, use five or more methods. Use formal procedures to combine forecasts: An equal-weights rule offers a reasonable starting point, and a...