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Many applications of mobile ad hoc networks require real‐time data consistency among moving nodes within a geographical area of interest to function correctly, such as those that support disaster recovery and battlefield command and control. While it is operationally desirable to maintain data consistency among nodes within a large geographical area, the time and network resources required to propagate state changes to all nodes place practical limits on network size. This paper aims to investigate this issue.

This paper investigates the notion of location‐based data consistency in mobile ad hoc networks, and analyzes the tradeoff between data consistency and timeliness of data exchange among nodes within a location‐based group in a geographical area of interest.

Using a Petri net performance model, performance characteristics of location‐based data consistency maintenance algorithms are analyzed and design conditions under which the system can tradeoff consistency for timeliness (reflecting the response time to propagate a state change) while satisfying the imposed data consistency requirement, when given a set of parameters characterizing the application in the underlying mobile ad hoc network are identified.

The system designer can deploy the optimal area size identified in the analysis for maximizing membership and data consistency based on the “I am alive” beaconing interval used at runtime while satisfying the response time requirement for propagating a state change.

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.

Location-based games (LBGs) have afforded novel information technology (IT) developments in how people interact with the physical world. Namely, LBGs have spurred a wave of territoriality (i.e. controlling) and exploration (i.e. discovering) of augmented physical space that are driven by different social dynamics related to group formation, social connectivity and altruism. The aim of this study is to investigate this dynamic and how it is further related to the use intensity of location-based IT.

This work presents a structural equation model that connects social dimensions of play to territorial control and exploration, and playing intensity. The model was tested with psychometric data gathered from a global sample of Pokémon GO players (N = 515).

In the tested sample, players' social self-efficacy and altruism were positively associated with team identification. Team identification, in turn, was positively associated with both territorial control and exploration tendency. Territorial control had a significant relationship with playing intensity; however, exploration tendency did not. This implies territorial control is the stronger predictor of playing intensity.

The findings suggest that human primal urges to conquer and control geographical territory may surface in the digital reimagination of physical space. LBGs offer opportunities for making use of new forms of play (territorial control and exploration) in motivating locative behaviours.

This research quantifies the relationships between a social predisposition, team identification, territorial control, exploration tendency and playing intensity in the context of Pokémon GO. It contributes new knowledge to the understanding of territorial behaviour (control and exploration) in location-based IT.

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.

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 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.

Due to recent developments of indoor location-tracking technologies, brick-and-mortar retailers are now able to add location-based marketing capabilities to their existing retail apps, providing retailers with new opportunities to interact with customers inside of their stores. The aim of this study is to identify factors influencing the customers' adoption intention of location-based retail apps for stationary retailing.

Based on the technology acceptance model, a conceptual model was developed. A Web-based survey was conducted in Germany with a final sample of 501 cases. Structural equation modelling was performed to test the hypotheses.

The results confirmed the positive relationship between attitude and the customers' intention to use location-based retail apps. Perceived usefulness and perceived enjoyment promote a positive attitude toward location-based retail apps, while privacy concerns and fear of spam hinder the formation of a favorable attitude. Subjective norms have a positive effect on customers' usage intention.

The results help retailers who want to establish location-based retail apps at the point of sale (e.g. in the context of omni-channel strategies).

As previous research about location-based apps has mainly used empirical data from either Chinese or American samples, less is known about the perception of European customers. Research indicates that existing findings might not be transferable to European countries due to differences in values, social norms or regulations. Also, the failure of Shopkick in Germany illustrates the need for more research. Based on this, using a German sample to answer the research question, this study aims to provide a European perspective on location-based retail apps, and thereby extend existing research.

This study aims to develop an understanding of how customers of a physical retail store valuate receiving location-based mobile phone messages when they are in proximity of the store. It proposes and tests a model relating two benefits (personalization and location congruency) and two sacrifices (privacy concern and intrusiveness) to message value perceptions and store visit attitudes.

The study uses a vignette-based survey to collect data from a sample of 1,225 customers of a fashion retailer. The postulated research model is estimated using SmartPLS 3.0 with the consistent-PLS algorithm and further validated via a post-hoc test.

The empirical testing confirms the predictive validity and robustness of the model and reveals that location congruency and intrusiveness are the location-based message characteristics with the strongest effects on message value and store visit attitude.

The paper adds to the underexplored field of store entry research and extends previous location-based messaging studies by integrating personalization, location congruency, privacy concern and intrusiveness into one validated model.

The purpose of this paper is to examine the factors examining the determinants of users' mobile commerce (m‐commerce) usage activities.

Data were collected from 402 users in Malaysia, and structural equation modelling analysis was employed to test the research model.

The results showed that different demographic, motivation and security perceptions variables have different relationships with the types of m‐commerce usage activities.

The results from this study will be useful for m‐commerce companies in formulating appropriate marketing strategies, as well as developing appropriate applications that will attract more consumers.

Although past literatures have focused on technological aspects of m‐commerce, few studies have examined the applications and strategies of m‐commerce. Furthermore, most studies on m‐commerce adoptions have focused on the relationships between technology adoption factors and behavioural intentions of users. There are few studies which have investigated the actual m‐commerce usage activities of users.