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Context-awareness has emerged as an important principle in the design of flexible business processes. The goal of the research is to develop an approach to extend context-aware business process modeling toward location-awareness. The purpose of this paper is to identify and conceptualize location-dependencies in process modeling.

This paper uses a pattern-based approach to identify location-dependency in process models. The authors design specifications for these patterns. The authors present illustrative examples and evaluate the identified patterns through a literature review of published process cases.

This paper introduces location-awareness as a new perspective to extend context-awareness in BPM research, by introducing relevant location concepts such as location-awareness and location-dependencies. The authors identify five basic location-dependent control-flow patterns that can be captured in process models. And the authors identify location-dependencies in several existing case studies of business processes.

The authors focus exclusively on the control-flow perspective of process models. Further work needs to extend the research to address location-dependencies in process data or resources. Further empirical work is needed to explore determinants and consequences of the modeling of location-dependencies.

As existing literature mostly focusses on the broad context of business process, location in process modeling still is treated as “second class citizen” in theory and in practice. This paper discusses the vital role of location-dependencies within business processes. The proposed five basic location-dependent control-flow patterns are novel and useful to explain location-dependency in business process models. They provide a conceptual basis for further exploration of location-awareness in the management of business processes.

Emergency managers face coordinative challenges that require a high degree of mobility, flexibility and the ability to interpret heterogeneous, location-dependent information of various sources and quality. Recent information and communication technology-driven developments like crowdsourcing or social networks have opened up new organizational possibilities for emergency managers. To make quick but solid decisions, and improve the coordination of activities performed by crowdsourcees during disaster response, the authors suggest the use of collaborative features from crowdsourcing and inherent availability of resources from social network effects. In this paper, the idea of considering collaboration and crowdsourcing as drivers for flexibility in the design of business processes in the context of emergency management is prepared, the meaning of location-dependent tasks for volunteers is investigated, and the added value of social network effects is substantiated.

This paper is part of an ongoing research project in the field of crowdsourcing. It represents conceptual work that builds on relevant literature.

In terms of emergency management, the paper sheds light on what emergency managers may consider when coordinating activities performed by volunteers and how they may benefit from social network effects. Furthermore, it is shown how they can exploit information using collaboration-based and tournament-like crowdsourcing, how they can benefit from invoking additional resources using weak ties from social networks, and how visualization of information may support decision-making.

Exemplary applications to exploit crowdsourcing and social network effects to support improvisation and to respond flexibly in disaster response are given.

This paper suggests novel collaborative approaches to support emergency managers in their decision-making. Based on social network analysis, the value of weak ties is elaborated, and based on a taxonomy from crowdsourcing, distinct collaborative alternatives are developed and proposed for application in emergency management.

In the vision of pervasive computing, numerous heterogeneous devices, various information services, and users performing daily activities are physically co‐located in a environment. How can we coordinate the services and devices to assist a particular user in receiving a particular service so as to maximize the user’s satisfaction? To solve this human‐centered coordination issue, we propose an agent‐based service coordination framework for pervasive computing. It is called location‐aware middle agent framework. The middle agent takes account of the user location in cognitive way (based on location‐ontology), and determines best‐matched services for the user. Based on this coordination framework, we have developed a multi‐agent architecture for pervasive computing, called CONSORTS (Coordination System of Real‐world Transaction Services). In this paper, we first outline some requirements of the human‐centered service coordination in pervasive computing. Secondly, we describe location‐aware middle agent framework to fill the requirements. Lastly, we outline CONSORTS, an prototype of location‐aware middle agent framework, and two applications of CONSORTS, location‐aware information assistance services in a museum and wireless‐LAN based location systems on FIPA agent Networks.

This paper aims to focus on contextualized features for mobile language learning apps. The scope of this paper is to explore students’ perceptions of contextualized mobile language learning.

An extended Technology Acceptance Model was developed to analyze the effect of contextual app features on students’ usage intention. The suggested app concept applies context-triggered push notifications to initiate learning sessions based on a location-aware vocabulary. Partial least squares structural equation modeling (PLS-SEM) was used for an empirical validation of the proposed research model.

The results of the analysis revealed, that students perceived the proposed app as beneficial for their learning endeavors. The location-aware feature is essentially relevant to improve the perceived usefulness of the system, as it may increase the learning effectiveness of the app in their everyday life.

The study was conducted in quite a homogenous population. The sample size of the survey was rather small (n = 45). Further research is necessary to confirm the promising results of the research.

The results give some first evidence that the integration of innovative contextual features in mobile language learning apps may increase the usage intention and motivation to engage in a learning activity.

In this paper we present a model‐based approach for the development of physical hypermedia applications, i.e. those mobile (Web) applications in which physical and digital objects are related and explored using the hypermedia paradigm. We describe an extension of the Object‐Oriented Hypermedia Design Method (OOHDM) and present an improvement of the popular Model‐View‐Controller (MVC) metaphor to incorporate the concept of located object we illustrate the idea with a framework implementation using Jakarta Struts. We first review the state of the art of this kind of software systems, stressing the need of a systematic design and implementation approach we briefly present a light extension to the OOHDM design approach, incorporating physical objects and “walkable” links. We next present a Web application framework for deploying physical hypermedia software and show an example of use. We evaluate our approach and finally we discuss some further work we are pursuing.

The purpose of this paper is to propose a conceptual architecture for the development of an auction business‐to‐consumer marketplace where sellers offer available resources and services aiming to maximize their revenue while on‐the‐move travelers bid for them subject to the geographical area they are located in.

Based on previous findings from the literature and aggregate results from a preliminary field survey, core communication requirements, marketplace architecture, and communication workflows are presented.

Findings from the literature and field study exhibit a great potential for the successful use of location sensitive auction applications in tourism sector. Mobile auctions seem attractive for the efficient allocation and pricing of travel resources by abolishing the internet's barriers related to travelers computing requirements; furthermore, location‐based services (LBS) may reduce significantly the communication costs for sellers. The proposed marketplace is beneficial for a number of stakeholders beyond sellers, like auctioneer, mobile communications providers, and LBS providers.

The proposed architecture is in conceptual form and is currently under development. Infrastructure issues (like communication load, required bandwidth and protocol) are being investigated. Future research will focus on the integration of the architecture in an extended multi‐provider environment forming virtual enterprises. The viability and acceptance of the proposed model should be further investigated through an extended detailed market survey.

To the authors' best knowledge it is the first attempt to propose a location‐sensitive auction marketplace for tourism services.

A context‐aware system is a system that uses context to provide relevant information or services to its users. While there has been a variety of context middleware infrastructures and context‐aware applications, little work has been done on integrating context into database management systems. The purpose of this paper is to consider a preference database system that supports context‐aware queries, that is, queries whose results depend on the context at the time of their submission.

The paper proposes using data cubes to store the dependencies between context‐dependent preferences and database relations and on‐line analytical processing techniques for processing context‐aware queries. This allows for the manipulation of the captured context data at various levels of abstraction, for instance, in the case of a context parameter representing location, preferences can be expressed, for example, at the level of a city, the level of a country or both. To improve query performance, the paper uses an auxiliary data structure, called context tree. The context tree stores results of past context‐aware queries indexed by the context of their execution. Finally, the paper outline the implementation of a prototype context‐aware restaurant recommender.

The use of context is important in many applications such as pervasive computing where it is important that users receive only relevant information.

Although there is much research on location‐aware query processing in the area of spatial‐temporal databases, integrating other forms of context in query processing is a rather new research topic.

The increasing number of context aware services, which depend on various multimodal sensing, processing and actuating techniques, technologies and formats ask for a physical framework that is able to handle their heterogeneity. Thereto, we propose a context model bridging the semantic gaps between context aware services. In addition we propose a simple system architecture of Distribution Servers and Transformation Servers that bridge semantic gaps among context aware services. Applying our framework we solve the heterogeneity problem existing for location services. Location is typically a form of context where heterogeneity is a problem.

The aim of this research is to enable web‐based tracking and guiding by integrating location‐awareness with the Worldwide Web so that the users can use various location‐based applications without installing extra software.

The concept of web‐based tracking and guiding is introduced and the relevant issues are discussed regarding location‐aware web systems, location determination, location‐dependent content query and personalized presentation. The framework of the web‐based tracking and guiding system – the Web‐Based Guide is proposed, and its prototypical implementation is presented. The main design principles are making use of existing web technologies, making use of available and cheap devices, general‐purpose and lightweight client‐side, and good scalability.

The paper presents the general‐purpose and modular framework of the Web‐Based Guide, which consists of the Location Server, the Content Server, the Guiding Web Server and the clients which are standard web browsers extended with the Location Control. With such a framework, location‐based applications can offer the services on the web.

The performance of the system should be evaluated and improved, such as the number of the concurrent sessions that the system can sustain, and the workload on the system when in the tracking mode.

The paper proposes a framework for personalized tracking and guiding systems on the web, which can be used in campuses, museums, national parks and so on.

The purpose of this paper is to establish an application platform that addresses expensive development cost and effort of indoor location-aware application (InL-Apps) problems caused by tightly coupling between InL-App and indoor positioning systems (IPSs).

To achieve this purpose, in this paper, the authors proposes a Web-based integration framework called Web-based Integration Framework for Indoor Location (WIF4InL). With a common data model, WIF4InL integrates indoor location data obtained from heterogeneous IPS. It then provides application-neutral application programming interface (API) for various InL-Apps.

The authors integrate two different IPS (RedPin and BluePin) using WIF4InL and conduct a comparative study which is based on sufficiency of essential capabilities of location-dependent queries among three systems: RedPin, BluePin and WIF4InL. WIF4InL supports more capabilities for the location-dependent queries. Through the data and operation integration, WIF4InL even enriches the existing proprietary IPS.

As WIF4InL allows the loose coupling between IPS and InL-Apps, it significantly improves reusability of indoor location information and operation.