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This paper attempts to identify key factors (i.e., personalization, privacy awareness and social norms) that affect user experiences (UXs) of mobile recommendation systems according to the user involvement theory (push-based and pull-based) and their relationships.

The study is based on an online survey with students from an international business school located in southwestern China. The sample population for the study included randomly selected 600 university students who are active mobile phone users. A total of 470 questionnaires were returned; 456 were valid (14 were invalid due to the incompleteness of their responses), providing a response rate of 65%.

Social norms have the largest impact on user experience quality, followed by personalization and privacy awareness. User involvement in mobile recommendation systems has mediating effects on the above relationships, with larger effects on pull-based systems than on push-based systems.

This study provides an integrated framework for researchers to measure the effects of social, personal and risk factors on the quality of user experience. The results enrich the literature on user involvement, mobile recommendation systems and UX. The findings provide significant implications for both retailers and developers of mobile recommendation systems.

Mobile agent‐based e‐marketplace is one type of business application that has been developed as a flexible and efficient approach to help companies or corporations to extend their businesses to outreach larger markets without regional and continental boundaries. However, every distributed system is unable to avoid the security problems due to the open internet environment. Mobile agent‐based e‐marketplaces are no exception. Thus, the security of mobile agents is a crucial factor in the design of mobile agent‐based e‐marketplaces. To overcome this kind of problem, the purpose of this paper is to design and implement a framework and system of secure and trustworthy mobile agent based e‐marketplace.

This paper presents the system design for the system implementation based on the designed framework. It includes three major aspects: the design issues, system design and development environment and tools for system implementation. The system architecture, use case diagram and use case specifications are presented in the system design section.

The system design is an essential step that is required before a prototype system is implemented. The system is designed based on the described and outlined requirements and evaluation criteria, therefore, to support a secure and trustworthy trading environment. The paper is concluded by discussing and highlighting further research work.

This paper presents the system design for implementing a secure and trustworthy mobile agent‐based e‐marketplace system by using the latest version of UML modeling tool and techniques.

This paper aims to report on lessons learnt from operating a location‐aware mobile social networking application, and critical functionalities that were deemed necessary in order to provide a pleasant user experience. As a result of user feedback, the authors enhanced their social networking system, G2G, with functionalities such as login with Facebook.com credentials without the need to sign up to their system first, and a much improved localization system that works across different mobile operators. Mobile advertisement was included for enhancing the user experience.

A modular approach has been followed for the system design. The original G2G system interfaced cleanly with the Facebook application programming interfaces (APIs) and the mobile advertisement subsystem through wrapper components.

The result was a much improved user experience as existing Facebook subscriptions facilitated new users to use the system. Mobile advertisement functionalities were seen as an essential add‐on. The aforementioned functionalities, combined with the ability to upload/search/download location‐aware multimedia notes, and a back‐end interface that allows advertisers to add location‐aware, personalized content, resulted in a significantly enhanced user experience as evidenced by higher user active participation to the system.

The enhanced system integrates seamelessly with Facebook (facilitating thus the entry of new users) and with a mobile advertisement platform, and provides for advanced security functionalities. Moreover, it supports Android‐based smart‐phones.

This study was based on situated learning, by combining mobile learning and augmented reality, so that students could not only access information content in a real environment but also obtain such information via augmented reality, to support mobile learning.

The research included development of an augmented reality system combined with situational learning, used by students to learn about campus plants as part of the college life technology curriculum. Students took part in mobile learning, and an investigation was conducted into the computer learning behaviour of notebook users. College students were used as the experimental subjects. Data were collected using questionnaire surveys and were evaluated in order to identify the behavioural intentions of learners in outdoor learning activities.

The questionnaire survey covered environmental interactivity, system quality and textbook content. It was found that learners who used mobile learning augmented reality (MLAR) generally managed to browse all the contents of the textbook at each learning location, without spending too much time looking for information, and learners could quickly integrate this into the learning situation. Learners who used MLAR had a strong motivation to study plants at the learning site because they wanted to use the augmented reality technology to observe virtual plant models. Learners who used MLAR in their field learning liked using augmented reality for further learning, for example, using a magic wand to interact with the technology.

This study adopted a new approach to deliver elements of the life technology curriculum, integrating augmented reality into mobile learning. All participating students gave positive reviews of six aspects of the proposed system: their behavioural intentions, cognitive usefulness, cognitive ease of use, environmental interactivity, system quality and textbook content.

This study aims to examine the effects of system and information characteristics in developing users' perceptions towards ubiquitous decision support systems (UDSS).

The research model is empirically examined with survey data from 218 mobile users who have adopted a UDSS, i.e. mobile Dianping.com. A structural equation modelling approach is employed to assess the hypotheses.

The findings demonstrate that system characteristics of wireless networks, mobile devices and mobile applications significantly predicted system quality, which in turn determined system usefulness. Localisation, immediacy and customisation of mobile word‐of‐mouth were the major predictors of information quality, which in turn determined information usefulness.

This study contributes to our current understanding of ubiquitous commerce, especially mobile word‐of‐mouth, by presenting an integrated research framework, identifying system and information characteristics that are specific to the ubiquitous era, extending system quality and system usefulness from a single system to a combination of systems, and empirically examining the crossover effects between system and information factors.

The purpose of this paper is to make the mobile e-commerce shopping more convenient and avoid information overload by a mobile e-commerce recommendation system using an improved Apriori algorithm.

Combined with the characteristics of the mobile e-commerce, an improved Apriori algorithm was proposed and applied to the recommendation system. This paper makes products that are recommended to consumers valuable by improving the data mining efficiency. Finally, a Taobao online dress shop is used as an example to prove the effectiveness of an improved Apriori algorithm in the mobile e-commerce recommendation system.

The results of the experimental study clearly show that the mobile e-commerce recommendation system based on an improved Apriori algorithm increases the efficiency of data mining to achieve the unity of real time and recommendation accuracy.

The improved Apriori algorithm is applied in the mobile e-commerce recommendation system solving the limitation of the visual interface in a mobile terminal and the mass data that are continuously generated. The proposed recommendation system provides greater prediction accuracy than conventional systems in data mining.

In today’s complicated and competitive business environment, companies commonly use enterprise resource planning (ERP) systems to integrate management information and enhance efficiency. In recent years, due to the development of cloud computing and portable devices, a new mobility era is starting. The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. ERP companies have discovered this trend and want to provide more convenient services and develop more integrated functions for their ERP systems in which practitioners can operate and access company information through various mobile devices anywhere, anytime. However, mobile ERP is still in the development stage. On the whole there has been relatively little research into the framework and system implementation of mobile ERP until recently. The purpose of this paper is to propose a mobile ERP framework for the sales function in an ERP system. The authors also design a mobile type sales application based on an android-based mobile device. In addition, the authors provide sale practitioners and supervisors with a more convenient and rapider service interface in which they can quickly respond to customers’ needs.

The authors develop a mobile ERP framework taking into account the requirements of sales and distribution modules. The proposed framework can directly access the ERP system and perform more efficiently than a web service-based framework since middleware services are not involved.

For the purposes of demonstrating the efficiency of the proposed mobile ERP system, the authors examine three scenarios which are commonly used in world-wide integrated circuit (IC) design companies. In this kind of company, salespersons travel to various cities and collect sales information. The three various scenarios include: (A) sales order creation; (B) order status inquiry; (C) order modification. The results of simulation show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for salespersons visiting outside offices and traveling world-wide.

The authors investigate and propose a mobile ERP framework for a world-wide ERP system company, SAP, which is a research limitation in the paper, since SAP ERP system is not installed for all companies. In addition, from this investigation, two possible concerns might be useful in further research. The first involves other modules may be included in the proposed mobile ERP framework. The second is the need to integrate other useful analysis systems, such as business intelligence, for a more complete mobile ERP system.

To demonstrate the efficiency of the proposed mobile ERP system, three various scenarios which are commonly used in world-wide IC design companies are considered. In addition, the comparisons of the typical procedures in terms of average processing time for existing ERP systems and the proposed mobile ERP system are provided. The simulation times finding show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for the salespersons visiting outside offices and traveling world-wide.

The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. Mobile ERP systems can provide more up-to-date information than typical ERP systems involving order-tracking, real-time stock quantity checking, and sales order creations since salespersons still can access or update their collected information wherever they are world-wide. The contributions of this paper have a great impact on behavior changes of mobile-phone users. It can enhance efficiency and quality of life for users.

In the paper, the authors propose a mobile ERP framework for the sales function which can provide sale practitioners and supervisors a more convenient and rapider service interface in which they can quickly respond to customers’ needs. The proposed framework of mobile ERP perform more efficiently than typical ERP systems and a web service-based framework since middleware services are not involved.

Mobile agent‐based e‐marketplaces are business applications that have been developed as flexible and efficient approaches to help companies or corporations to extend their businesses to outreach larger markets without regional and continental boundaries. Every distributed system is unable to avoid security problems due to the open internet environment. Mobile agent‐based e‐marketplaces are no exceptions. The purpose of this paper is to design and implement a framework and system of a secure and trustworthy mobile agent‐based e‐marketplace to overcome this problem.

The authors present an analysis and evaluation of a secure and trustworthy mobile agent‐based e‐marketplace, which was specified and prototyped. The experimental results of the implemented system are used to address the evaluation of the system. The discussion of the solution is also presented.

The evaluation and performance results show that the proposed framework and system have the ability to provide a secure and efficient e‐marketplace environment for trading products. The authors draw conclusions and highlight future work on this specific research area.

The performance and scalability are the two most important issues for mobile‐agent based systems together with their feasibility. The evaluation and performance results are used to reflect the results of the research in its entirety.

The purpose of this paper is to investigate how to make tele‐operated tasks easier using an expert system to interpret joystick and sensor data.

Current tele‐operated systems tend to rely heavily on visual feedback and experienced operators. Simple expert systems improve the interaction between an operator and a tele‐operated mobile‐robot using ultrasonic sensors. Systems identify potentially hazardous situations and recommend safe courses of action. Because pairs of tests and results took place, it was possible to use a paired‐samples statistical test.

Results are presented from a series of timed tasks completed by tele‐operators using a joystick to control a mobile‐robot via an umbilical cable. Tele‐operators completed tests both with and without sensors and with and without the new expert system and using a recently published system to compare results. The t‐test was used to compare the means of the samples in the results.

Time taken to complete a tele‐operated task with a mobile‐robot partly depends on how a human operator interacts with the mobile‐robot. Information about the environment was restricted and more effective control of the mobile‐robot could have been achieved if more information about the environment had been available, especially in tight spaces. With more information available for analysis, the central processor could have had tighter control of robot movements. Simple joysticks were used for the test and they could be replaced by more complicated haptic devices. Finally, each individual set of tests was not necessarily statistically significant so that caution was required before generalising the results.

The new systems described here consistently performed tasks more quickly than simple tele‐operated systems with or without sensors to assist. The paper also suggests that the amount of sensor support should be varied depending on circumstances. The paired samples test was used because people (tele‐operators) were inherently variable. Pairing removed much of that random variability. When results were analysed using a paired‐samples statistical test then results were statistically significant. The new systems described in this paper were significantly better at p<0.05 (95 per cent probability that this result would not occur by chance alone).

The paper shows that the new system performed every test faster on average than a recently published system used to compare the results.

Pervasive computing environments such as a pervasive campus domain, shopping, etc. will become commonplaces in the near future. The key to enhance these system environments with services relies on the ability to effectively model and represent contextual information, as well as spontaneity in downloading and executing the service interface on a mobile device. The system needs to provide an infrastructure that handles the interaction between a client device that requests a service and a server which responds to the client's request via Web service calls. The system should relieve end‐users from low‐level tasks of matching services with locations or other context information. The mobile users do not need to know or have any knowledge of where the service resides, how to call a service, what the service API detail is and how to execute a service once downloaded. All these low‐level tasks can be handled implicitly by a system. The aim of this paper is to investigate the notion of context‐aware regulated services, and how they should be designed, and implemented.

The paper presents a detailed design, and prototype implementation of the system, called mobile hanging services (MHS), that provides the ability to execute mobile code (service application) on demand and control entities' behaviours in accessing services in pervasive computing environments. Extensive evaluation of this prototype is also provided.

The framework presented in this paper enables a novel contextual services infrastructure that allows services to be described at a high level of abstraction and to be regulated by contextual policies. This contextual policy governs the visibility and execution of contextual services in the environment. In addition, a range of contextual services is developed to illustrate different types of services used in the framework.

The main contribution of this paper is a high‐level model of a system for context‐aware regulated services, which consists of environments (domains and spaces), contextual software components, entities and computing devices.