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The purpose of this paper is to show how the development of location‐based services (such as those using global positioning satellite (GPS) systems) has accompanied the growth of mobile telecommunication, providing mobile telephone users with a variety of functions. The paper aims to considers the benefits and concerns that these location‐based services present to consumers.

The paper identifies issues based on the academic literature, relevant theory, and current mobile telecommunication developments.

While location‐based services offer many benefits to consumers, issues pertaining to privacy, trust and justice are significant areas of concern.

Testable research propositions pertaining to consumer behaviour are offered to guide future research.

Socially‐responsible telecommunication firms should consider the issues that are raised here. They should adopt policies to safeguard data, build trust, and offer consumers fair policies as the firms offer location‐based services.

While much has been written about GPS systems and wireless telecommunications, almost no empirical research has been conducted and little theoretical guidance has been offered to prospective researchers. The paper reviews the literature from a variety of disciplines and identifies important theoretical areas to guide future research on consumer behaviour. The paper identifies important issues for researchers and managers.

To analyze the direct effect of perceived value dimensions (monetary, convenience, social, emotional, conditional and epistemic value) on attitudinal and behavioral components of loyalty: commitment and behavioral intentions to use location‐based mobile services.

An online survey for users of a mobile location‐based directory service “Where is the nearest?”

The behavioral intentions were most influenced by conditional value; the context, in which the service is used, followed closely by commitment and to some extent monetary value. Commitment can be enhanced through building emotional value and conditional value by focusing on offering fun service experiences in the right context. The influence of social and epistemic value was not significant.

Further research is encouraged on the relative importance of the value dimensions' influence on loyalty in global markets.

The minor influence of monetary value as well as the high influence of conditional value implies that the one‐dimensional value measures are not applicable in a mobile context where decisions are often made spontaneously and based on situational needs. Effective marketing strategies need to take into account the contextual use and emphasize either convenience or emotional value.

The paper introduces new context relevant concepts and develops a multidimensional perceived value and loyalty model. Results give practical implications on how to increase awareness of location‐based services (LBS) in a way that gives a realistic picture of how LBS create value for customers.

The purpose of this paper is to develop a facade for seamlessly using locating services and enabling easy development of an application with indoor and outdoor location information without being aware of the difference of individual services. To achieve this purpose, in this paper, a unified locating service, called KULOCS (Kobe-University Unified LOCating Service), which horizontally integrates the heterogeneous locating services, is proposed.

By focusing on technology-independent elements [when], [where] and [who] in location queries, KULOCS integrates data and operations of the existing locating services. In the data integration, a method where the time representation, the locations and the namespace are consolidated by the Unix time, the location labels and the alias table, respectively, is proposed. Based on the possible combinations of the three elements, an application-neutral application programming interface (API) for the operation integration is derived.

Using KULOCS, various practical services are enabled. In addition, the experimental evaluation shows the practical feasibility by comparing cases with or without KULOCS. The result shows that KULOCS reduces the effort of application development, especially when the number of locating services becomes large.

KULOCS works as a seamless facade with the underlying locating services, the users and applications consume location information easily and efficiently, without knowing concrete services actually locating target objects.

In this paper, we develop and evaluate an approach to assessing the content quality in a location‐based service (LBS). The proposed approach, instead of assessing the quality in absolute terms such as completeness or accuracy, measures the effect that the imperfection of the content is having on the reliability of that specific LBS. We apply the basic ideas from Software Reliability Engineering (SRE), but develop a modification of SRE, 2‐Branch, in order to separate content quality from other factors, such as positioning imprecision, and to reduce the measurement error. In our experimental study, we first compare 2‐Branch to the standard SRE, after which we experimentally analyze some properties of SRE methodology as such in the context of an LBS. The experiments indicate that 2‐Branch has in most cases a lower measurement error than the standard SRE. A corollary to that is that 2‐Branch can achieve, therefore, as low an error level as the standard SRE, using a worse and thus cheaper oracle. Getting a good oracle is probably the main cost factor in evaluating the quality of an information service, thus being able to use a cheaper one may result in significant savings.

This paper seeks to suggest a model for location‐based recommendation services that enable greater access to print and electronic resources.

The paper takes the form of a synthesis of previous work in basic and applied collections‐based wayfinding incorporating library and information science (LIS) literature on user context and system recommendations.

The paper identifies problems that will need to be solved before implementation of the production‐level recommendation service and suggests possible implications the system may have on reference and instruction services.

The paper provides computing workflows necessary to implement a library recommendation service based on user location. iPhone Software Developer Kit templates are leveraged for modeling data and interface prototypes. Use cases and user models are developed.

The purpose of this paper is to develop a mobile service, based on anonymous location-based data, to help students find available reading rooms on a university campus. To evaluate this mobile service, both a usability test and a technology acceptance test were carried out.

The research followed a design science approach, including developing a prototype and evaluating the developed prototype.

The results from the usability test indicated good usability of the developed mobile service. The results from the technology acceptance test demonstrated students’ intention to use this mobile service. Most respondents indicated that they would like to use this mobile service to find available reading rooms when they are on campus.

The results imply that there are other contexts where anonymous location-based data are also useful. A similar mobile service can be developed for other contexts, such as, hospital complexes, shopping malls, and airports.

To the authors best knowledge, the authors have not found any mobile services aiming at counting the density of people residing in a room by using anonymous user location-based data on a university campus. This research fills this gap by developing the mobile service, called finding reading rooms.

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.

Ideally, a pervasive location‐based system should allow mobile users to go anywhere and benefit from personalized and pro‐active services tailored for their current activity. However, existing location‐based systems are still far from this vision, as they are either aimed at very specific activities or too generic to provide real value to specific user activities. The objective of this work is to identify and characterize the most fundamental challenges involved in the design of pervasive location‐based systems. The approach is based on the idea that such challenges will correspond to the key design tradeoffs for location‐based systems. Building on what is believed to be the high‐level requirements for a truly pervasive locationbased system, this paper proposes a design space with four design dimensions: functional scope, added‐value, pro‐activity, and adaptability. After analyzing a representative set of location‐based systems under that design space, the combinations between functional scope and any of the other dimensions are identified as the main contradictions in the design of such systems. The paper finally discusses the research challenges associated to the identified tradeoffs.

The paper aims to resolve three major issues in location-based applications (LBA) known as heterogeneity, user privacy, and context-awareness by proposing an elastic and open design platform named OpenLS privacy-aware middleware (OPM) for LBA.

The paper analyzes relevant approaches ranging from both academia and mobile industry community and insists the importance of heterogeneity, user privacy, and context-awareness towards the development of LBA.

The paper proposes the OPM by design. As a result, the OPM consists of two main component named application middleware and location middleware, which are cooperatively functioned to achieve the above goals. In addition, the paper has given the implementation of the OPM as well as its experiments. It is noted that two privacy-preserving techniques at two different levels are integrated into the OPM, including Memorizing algorithm at the application level and Bob-tree at the database level. Last but not least, the paper shows further discussion about other problems and improvements that might be needed for the OPM.

Each issue has its sub problems that cause more influences to the OPM. Besides, each of the issues requires more investigations in depth in order to have better solutions in detail. Therefore, more overall experiments should be conducted to assure the OPM's scalability and effectiveness.

The paper hopefully promotes and speeds up the development of LBA when providing the OPM with suitable application programming interfaces and conforming the OpenLS standard.

This paper shows its originality towards location-based service (LBS) providers to develop their applications and proposes the OPM as a unified solution dealing with heterogeneity, user privacy, and context-awareness in the world of LBS.

The purpose of this paper is to propose an intelligent service recommendation model. The paper formulates the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rule based reasoning.

The authors formulate the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rule based reasoning. Bayesian Network is used to classify the incoming call (high priority call, low priority call and unknown calls), fuzzy linguistic variables and membership degrees to define the context situations, the rules for adopting the policies of implementing a service, fitness degree computation and service recommendation. In addition to this the paper proposes maximum to minimum priority based context attributes matching algorithm for rule selection based on fitness degree of rules. The context aware mobile is tested for library and class room scenario to exemplify the proposed service recommendation engine and demonstrate its effectiveness.

First, it was found that there was reduction in application searching time in different contexts. For example, if user enters into the library, the proposed mobile will be adapted to the library situation automatically by configuring its desktop and internal settings to facilitate the library services like book search, web link, silent mode and friends search. Second, the design of the recommendation engine, utilizing contextual parameters like Location (class room, college campus, house, etc.) Personal (age, name), Temporal (time, date), Physical (fall, normal), and schedule agendas, was found to be of importance.

Exploitation of hybrid fuzzy system, Bayesian Networks and the utility theory (usage history and context history) for modeling and implementation.