Humancentric Applications of Precise Location Based Services

Mobile technologies, which allow users to move around while maintaining the ability to access a network and its services, now claim a significant degree of attention in both industry and academia. In this vision, one particular attribute gains critical importance: location. The ability to pinpoint a mobile user’s location creates a new class of applications and services. These location based services (LBS) exploit the known location of a user to provide services dependent on their geographic context and personalised needs. However, as newer positioning technologies are introduced into the market with a greater level of location accuracy, and existing technologies are integrated to overcome limitations, issues pertaining to the use and potential misuse of location information rise to the fore. In addition to this, perhaps because LBS are so new, there has been limited investigation into exactly what effects the widespread use of these technologies may have. This thesis aims to rectify a gap in current knowledge by presenting a plausible scenario that describes how humancentric applications of LBS could change the world of tomorrow, based on the current state of development. It also makes several original contributions in an analysis of legal, ethical, social and technological issues that arise from the scenario

Introducing location-based services into information technology curriculum: reflections on practice

This paper describes how location-based services (LBS) was introduced into the information technology curriculum at the University of Wollongong in 2004. The inquiry is based on two academic reflections on practice. The results indicate that students found the course experience both intellectually challenging and rewarding. Academics linked to the project found the topic aligned well to their research interests and stimulated new ideas for grant applications. And industry representatives found the experience advantageous, a vehicle for collaboration, and subsequently a way to give something back to their local community. In summary the dynamic exchange of knowledge between staff, students, and industry was very successful

(Re)storying human/nonhuman relationships: Posthumanist possibilities in researcher/teacher/environmental education worlds

This research explored human/nonhuman relationships in environmental education. Taking up the materiality of affect in sense-making, this research revealed how relational agency generates an intrinsic sense of responsibility to attend to socio-ecological justice in these Anthropocene times

Willingness of accepting mobile data positioning technology in Chinese market

This research aims to study the willingness of accepting Mobile data positioning technology in tourism, traffic and population statistics in China. Despite big data is popular in different industries, the Chinese government is still conservative, using traditional methods for statistics, such as transportation, population, and tourism. For the time being, mobile phone selling market grows rapidly around the world. Billions people generate tons of data every second through their mobile phone. The big challenge is to get to know about those data. With the analyzing big data technology has a great improvement, it is a good opportunity to start analyzing mobile data positioning market in China. As the fastest-growing developing country in the world, China has a large potential market. At the same time, China's digitalization process has also developed rapidly, laying a good foundation for Mobile data positioning(MDP). As mobile data positioning technology mainly provides to the government, so in this study, it adopted questionnaire to 67 civil servants about their attitude to use MDP in their daily work. Meanwhile, this study using Structural Equation Modeling SEM, SPSS, technology acceptance model(TAM) model and smartpls to determine the model of their willingness to adopt this technology. The results show that perceived usefulness and perceived ease of use are direct and important predictors of positioning using mobile data whereas. The findings help as a guide for effective decision to any technology company who are interested in MDP in Chinese’s market

Google popular times : towards a better understanding of tourist customer patronage behavior

This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful to better understand, analyze, and predict tourist consumer behaviors. Following six hypotheses on tourist behavior, a purpose-built software tool was developed, pre-tested, and then used to obtain a large-scale data sample of 20,000 time periods for 198 restaurants. Both bi-variate linear regression and correlation analyses were used for hypothesis testing. Support was established for the hypotheses, through an analysis of customer reviews, timing effects, the number of pictures uploaded, and price segment information provided by tourists to a given restaurant. Also, a relationship to average duration time was found to be positive. The findings demonstrate that data provided through Google Popular Times matches theoretical and logical assumptions to a high degree. Thus, the data source is potentially powerful for providing valuable information to stakeholders (e.g., researchers, managers, tourists). This paper is the first to both conceptually and empirically demonstrate the practicality and value of Google Popular Times to better understand, analyze, and predict tourist consumer behaviors. Value is thereby provided by the potential for this approach to offer insights based behavioral data. Importantly, until now such an approach to gathering and analyzing this volume of actual customer data was previously considered far less practical in terms of time and expense

Examining the Determinants of Mobile Location-based Services’ Continuance

The continuance of use is an important topic of IS research. However, in the past, many researchers have focused on adoption rather than IS continuance. Studying continuance is of equal importance, because if use does not persist, this may limit the revenues of the provider. This is particularly true for consumer-oriented services, which rely on advertising, or subscription-based revenue models. In this paper, we investigate the determinants of location-based services (LBS) continuance as a relevant case study for the examination of IS continuance generally. A research model is developed and empirically tested through a survey of a representative sample in Germany. The proposed model builds on and extends the Limayem et al. model of IS continuance. Our analysis highlights the importance of habit and emotion in LBS continuance. The results indicate that habit has a stronger predictive power than continuance intentions for LBS continuance and that emotions are an important driver for user satisfaction with LBS

Furthering Service 4.0: Harnessing Intelligent Immersive Environments and Systems

With the increasing complexity of service operations in different industries and more advanced uses of specialized equipment and procedures, the great current challenge for companies is to increase employees' expertise and their ability to maintain and improve service quality. In this regard, Service 4.0 aims to support and promote innovation in service operations using emergent technology. Current technological innovations present a significant opportunity to provide on-site, real-time support for field service professionals in many areas

Examining Discontinuers\u27 Word-of-Mouth Behaviour in the Context of Mobile Location-based Services

Previous information systems (IS) research has paid little attention to the determinants of users’ discontinuance and the consequences of that behaviour. This study investigates the influence of different discontinuance reasons on post-discontinuance word-of-mouth (WOM) communication in the context of mobile location-based services (LBS). Based on existing literature, a theoretical framework is developed representing three general reasons for IS discontinuance: 1) decline in service quality, 2) change in user needs, and 3) attractive alternatives. Their effect on post-discontinuance satisfaction and WOM is empirically tested through a quantitative survey study with German LBS users. Results indicate that a decline in service quality significantly affects negative customer WOM about the service, while a superior alternative mobile service as the main discontinuance reason leads to post-discontinuance dissatisfaction, which may in turn influence negative WOM behaviour. In contrast, discontinuance due to a change in user needs is associated with a slightly elevated level of post-discontinuance satisfaction

A Cognitive Processes Analysis of Individuals' Use of Location-based Services

The recent profusion of smartphones in the mobile industry offers new opportunities for mobile services vendors. One of the most influenced service categories is location-based services (LBS). Based on insights from behavioural decision-making, a theoretical framework is developed to analyse individuals‟ decisions to use LBS. We focus on the cognitive processes involved in individual decisionmaking. Our research is based on two studies. First, we investigated the use of LBS through semistructured interviews of smartphone users. Second, we explored daily LBS use through a study based on diaries. The findings highlight the distinct value dimension in specific contexts of use and the positive experiences of the service as the main drivers of LBS use. Thus, the user decision to use LBS can be described by either a comparative mode based on the value of LBS in relation to other available options, or by an intuitive mode where past experiences trigger the use of heuristics. These modes in turn underscore the positive influences on the continuance of LBS use