Knowledge management (KM) has emerged over the last decade to become one of the most debated management concepts, but in the hospitality industry KM has not achieved the same scale of applications and empirical research as in other fields. This paper presents the first state-of-the-art survey of empirical KM research in the hospitality field. Database searches of the KM concept and related topi...

We construct models as an aid to our thought process. A particular class of models, operational models, can be used for simulation and prototyping. The Opj modeling language is suitable for building operational models of complex software systems. The notion of operational parameterized building block is the key point of the approach, which focuses on two major phases: domain modeling and system...

Compliance checking of business process models against regulation is inevitable. Due to various sources of compliance requirements, a conflict of interest of such requirements is very likely. Thus, it is crucial to analyze the relation between compliance rules to discover any possible conflicts before even checking such rules against process models. Although this step is important in the compli...

We introduce a new overloading notation that facilitates programming, modularity and reuse in Embedded Domain Specific Languages (EDSLs), and use it to reason about safe resource usage and state management. We separate the structural language constructs from our primitive operations, and show how precisely-typed functions can be lifted into the EDSL. In this way, we implement a generic framewor...

Context: Mobile BIS apps demand is increasing, with shorter time-to-market requirements, but their production faces problems, such as handling business rules concurrently, multiple platforms, localization and extensibility. Objective: Propose a generative approach for mobile BIS apps that will mitigate the identified problems. Method: We adopted the Design Science Research methodology, that hel...

We use multiple views for cross-domain document classification. The main idea is to strengthen the views’ consistency for target data with source training data by identifying the correlations of domain-specific features from different domains. We present an Information-theoretic Multi-view Adaptation Model (IMAM) based on a multi-way clustering scheme, where word and link clusters can draw toge...

This paper presents an extension to the Reference Domain Theory (Salmon-Alt, 2001) in order to solve plural references. While this theory doesn’t take plural reference into account in its original form, this paper shows how several entities can be grouped together by building a new domain and how they can be accessed later on. We introduce the notion of super-domain, representing the access str...

In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sentiment classifier often performs extremely bad. This is so-called domain-transfer problem. In this work, we attempt to attack this problem by making the maximum use of both the old-domain data and the unlabeled new-domain data....

We discuss how enterprise architecture management (EAM) supports different types of enterprise transformation (ET), namely planned, proactive transformation on the one hand and emergent, reactive transformation on the other hand. We first conceptualize EAM as a dynamic capability to access the rich literature of the dynamic capabilities framework. Based on these theoretical foundations and obse...