Mobile Commerce Environment Research Articles

Evaluating the User Experience of Augmented Reality in the Mobile Commerce Environment

Evaluating the User Experience of Augmented Reality in the Mobile Commerce Environment

Cosmetics makers have always sold ‘hope in a jar’! Understanding the cosmetics purchase intention in the Chinese mobile commerce environment

Using the S-O-R model, we investigate the impact of situational factors (interpersonal influence, visual appeal, and portability) on hedonic and utilitarian web browsing and expand the theory by exploring the moderating roles of scarcity and serendipity. Data were collected from 988 participants via an online survey. Structural equation modeling was performed using AMOS 23. The results show that the situational factors positively influence hedonic and utilitarian web browsing. Scarcity and serendipity have a significant moderating role in the relationship between hedonic web browsing, utilitarian web browsing, and cosmetics m-commerce purchase intention. This study hopes to provide a deeper understanding of consumer behavior and attitudes in the cosmetics market in the m-commerce context.

A Secure Three-Party Authenticated Key Exchange Protocol for Social Networks

The 3PAKE (Three-Party Authenticated Key Exchange) protocol is a valuable cryptographic method that offers safe communication and permits two diverse parties to consent to a new safe meeting code using the trusted server. There have been explored numerous 3PAKE protocols earlier to create a protected meeting code between users employing the trusted server. However, existing modified 3PAKE protocols have numerous drawbacks and are incapable to provide desired secrecy against diverse attacks such as man-in-the-middle, brute-force attacks, and many others in social networks. In this article, the authors proposed an improved as well as safe 3PAKE protocol based on the hash function and the symmetric encryption for the social networks. The authors utilized a well-acknowledged AVISPA tool to provide security verification of the proposed 3PAKE technique, and findings show that our proposed protocol is safer in opposition to active as well as passive attacks namely the brute-force, man-in-the-middle, parallel attack, and many more. Furthermore, compared to other similar schemes, the proposed protocol is built with a reduced computing cost as our proposed protocol consumes less time in execution and offers high secrecy in the social networks with improved accuracy. As a result, this verified scheme is more efficient as well as feasible for implementation in the social networks in comparison to previous security protocols. Although multifarious authors carried out extensive research on 3PAKE protocols to offer safe communication, still there are vital opportunities to explore and implement novel improved protocols for higher safety in the social networks and mobile commerce environment in the future in opposition to diverse active as well as passive attacks.

An enhanced key exchange protocol exhibiting key compromise impersonation attacks resistance in mobile commerce environment

An enhanced key exchange protocol exhibiting key compromise impersonation attacks resistance in mobile commerce environment

Understanding trust in ms-commerce: The roles of reported experience, linguistic style, profile photo, emotional, and cognitive trust

This paper examines what influences trust in mobile social commerce environment. Drawing on trust-based acceptance model (i.e. cognitive and emotional trust) and online review features (i.e. profile photo, linguistic style, and reported experience), we examine how these factors affect trust in mobile social commerce. Hypotheses were tested using survey data. The results of our model showed that there are significant influences of profile photo, reported experience, cognitive, and emotional trust towards trust in ms-commerce. This work contributes to existing literature by examining the roles of previous trust in mobile payments and online reviews on trust in mobile social commerce.

Futuristic VR image presentation technique for better mobile commerce effectiveness

Previous studies show that VR images can influence consumers’ attitudes and behaviors by evoking imagination. In this study, we introduce a reality-based closed-loop 3D image (hereafter Virtualgraph). Then, we try to see whether such image would increase evocativeness in a mobile commerce environment and whether higher telepresence of the visual image of a product can increase the purchase intention of that product. In order to find the above, we developed a model comprised of constructs containing telepresence, perceived value price, perceived food quality, and vividness of visual imagery questionnaire (VVIQ). We used Virtualgraph application to conduct an experiment and then conducted an interview as well as a survey. As results of the experiment, survey, and interview, we found the followings. First, users evoke imagination better with Virtualgraph than with still images. Second, increased evocativeness affects purchase intention if the perceived quality of fresh food product is satisfactory. Third, increased evocativeness makes users value products higher and do even much higher when the perceived quality of fresh food product is good. From the interview, we could find that the experimental group had higher purchase intentions and perceived products as more expensive ones. Also, they perceived images of products clearer and more vivid than did the control group. We also discuss the strategic implications of using Virtualgraph in mobile shopping malls.

The Version Effect of Apps and Operating Systems in Mobile Commerce

Using a unique large-scale clickstream data set from a mobile commerce retailer, we examine the effect of the mobile shopping app and mobile operating system versions on consumer search and purchase behaviors in mobile commerce. We find that the consumers with an up-to-date shopping app or mobile operating system (but not both) compared to previous versions conduct more searches in terms of increased product page views and time spent on product pages, which in turn results in higher consumer purchase probability. Surprisingly, the consumers with both an up-to-date shopping app and mobile operating system have reduced search activities and lower purchase probabilities. Our results show that the mobile commerce environment affects the consumer shopping process in a non-linear fashion and indicate that there exists a sweet spot with the right level of smoothness in the mobile shopping environment. Our computations show that when compared to the baseline of using previous versions of both, using an up-to-date mobile shopping app alone increases consumer search activities by 336 more product pages or 1,975 more seconds spent, and using an up-to-date mobile operating system alone increases consumer search activities by 976 more product pages or 7,258 more seconds spent. However, using both an up-to-date mobile shopping app and mobile operating system only increases consumer search activities by 270 more product pages or 1,569 more seconds, compared to the baseline. One more product page viewed or one more second spent increases the average consumer purchase probability by 4.38% or 1.35%, respectively.

Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory

With the deep cross-border integration of tourism and big data, the personalized demand of tourist groups is increasingly strong. Precision marketing has become a new marketing mode that the tourism industry needs to pay close attention to and explore. Based on the advantages of big data platform and location-based service, starting from the precise marketing demand of tourism, we design data flow mining technology framework for user’s mobile behavior trajectory based on location services in mobile e-commerce environment to get user track data that incorporates location information, consumption information, and social information. Data mining clustering technology is used to analyze the characteristics of users’ mobile behavior trajectories, and the precise recommendation system of tourism is constructed to provide support for tourism decision making. It can target the tourist group for precise marketing and make tourists travel smarter.

The Effectiveness of Consumer Perceived Mobile Commerce Environment on Shopping Value, Trust, and Information Accept

The Effectiveness of Consumer Perceived Mobile Commerce Environment on Shopping Value, Trust, and Information Accept

Study on the Recommended Model Based on Personal Information System

This paper classifies the scenario elements which affect the real-time information needs of mobile commerce users, and proposes a nomination model that integrates the user’s personalized context elements. In this model, the top K scenarios that have the greatest impact on each user’s instant information demands are calculated from the user’s current scenario and historical data, thereby constructing a user personalized situation and improving it as an input condition that existing scenario-based multi-dimensional information recommendation algorithm is used for project nomination. Result/Conclusion: The improved algorithm and other three algorithms were compared by Movie lens and MBook Crossing dataset. The experimental results show that the model has higher prediction accuracy and can effectively improve user satisfaction and more effectively and solve personalized nomination issues in a mobile commerce environment.

Personalization–privacy paradox and consumer conflict with the use of location-based mobile commerce

This study empirically explored consumers’ response to the personalization–privacy paradox arising from the use of location-based mobile commerce (LBMC) and investigated the factors affecting consumers’ psychological and behavioral reactions to the paradox. A self-administered online consumer survey was conducted using a South Korean sample comprising those with experience using LBMC, and data from 517 respondents were analyzed. Using cluster analysis, consumers were categorized into four groups according to their responses regarding perceived personalization benefits and privacy risks: indifferent (n = 87), personalization oriented (n = 113), privacy oriented (n = 152), and ambivalent (n = 165). The results revealed significant differences across consumer groups in the antecedents and outcomes of the personalization–privacy paradox. Multiple regression analysis showed that factors influence the two outcome variables of the personalization–privacy paradox: internal conflict (psychological outcome) and continued use intention of LBMC (behavioral outcome). In conclusion, this study showed that consumer involvement, self-efficacy, and technology optimism significantly affected both outcome variables, whereas technology insecurity influenced internal conflict, and consumer trust influenced continued use intention. This study contributes to the current literature and provides practical implications for marketers and retailers aiming to succeed in the mobile commerce environment.

An efficient trust negotiation strategy towards the resource-limited mobile commerce environment

Automated trust negotiation (ATN) offers an attractivemeans for trust establishments, which establishesmutual trust among strangers wishing to share resources or conduct business, but it comes at the cost of non-trivial computation and communication overheads. The deployment of ATN strategies on a resource-constrained mobile device may lead to user-obstructive latency for operations. In this paper, we propose a trust negotiation strategy called trust target Petri nets negotiation strategy (TPNNS). It highly reduces the negotiation latency in the mobile device compared with other negotiation strategies, since it considers all the alternative responses at each step and chooses the best one. TPNNS supports cycle avoidance and employs skipped TPN which is a new approach presented in this paper. What is more, it is complete and ensures no irrelevant credentials are disclosed during the trust negotiation.

An Unlinkable Anonymous Payment Scheme based on near field communication

A number of mobile payment studies have been proposed in recently years. Most of the schemes are largely focused on transaction security, not on users’ privacy. In this paper, we propose an Unlinkable Anonymous Payment Scheme to provide a secure and anonymous mobile commerce environment. In the proposed protocol, a user applies an anonymous virtual credit card from a trusted service manager. The sensitive information of the applied credit card is stored in the secure elements of user’s mobile device. Our proposed protocol ensures various imperative security properties such as anonymity, unlinkability, and non-repudiation etc.

Design and Simulation of Mobile Commerce Identity Authentication Protocol Based on OTP

With popularization and development of mobile commerce, the security of mobile commerce has drawn more and more attentions. Identity authentication is the first safety barrier, as communication security almost starts from its handshake process. Authentication protocol based on ciper technology is the safest method to realize identity authentication, and therefore identity authentication protocol is necessary to ensure communication security in mobile commerce. Combined One-time password (OTP) with Elliptic Curve Cryptosystem (ECC), a mobile commerce identity authentication (MCIA) protocol is presented. The two procedures of user registration and bidirectional authentication are designed. In order to verify its operation efficiency in the actual network environment, the simulation model of MCIA is set up through Opnet. The MCIA performance is analyzed from the statistics variables, including scheme time, server queuing delay, channel utilization and throughput. The results verify that MCIA has better feasibility in mobile commerce environment.

Interesting User Behaviour Prediction in Mobile E-commerce Environment using Constraints

ABSTRACTMobile e-commerce has become a more emerging topic these days and is speedily increasing with the growth of internet. It is playing an essential role in our life as it helps us by using new trends and technologies to improve business and thus providing quicker information. Behaviour analysis and sequence pattern prediction provide scope for more advanced research topics. If a user finds various interesting sequences in mobile e-commerce environment, then she/he can predict lots of new information. This predicted information may be useful for defining various new services or improving on existing and may also be useful to manage service infrastructure to offer quicker responses. Today, user behaviour sequence mining is an emerging issue in mobile e-commerce environment which considers mobile user services, accessing sequences at various locations on different times. In the current scenario, the user may only be interested in the service sequences with some specific constraints. The constraint may define to the type of service or importance of a particular service. Here, we consider important or useful services for particular user in mobile e-commerce environment. We proposed an efficient framework, namely CIUBSM (Constraint based Interesting User Behaviour Sequence Mining) which deals with important constraint of services and generates an interesting behaviour sequence of mobile users. Experimental results show that the proposed framework is better than previous constraint-based frameworks.

An Efficient Hybrid Artificial Bee Colony Algorithm for Customer Segmentation in Mobile E-commerce

Customer segmentation can enable company administrators to establish good customer relations and refine their marketing strategies to match customer expectations. To achieve optimal segmentation, a hybrid Artificial Bee Colony algorithm (ABC) is proposed to classify customers in mobile e-commerce environment, which is named KP-ABC. KP-ABC is based on three famous algorithms: the K-means, Particle Swarm Optimization (PSO), and ABC. The author first applied five clustering algorithms to a mobile customer segmentation problem using data collected from a well established chain restaurant which has operations throughout Japan. The results from the clustering were compared to the existing company customer segmentation data for verifications. Based on the initial analysis, special characteristics from those three algorithms were extracted and modified in our KP-ABC method which performed extremely well with mobile e-commerce applications. The result shows that KP-ABC is at least 2% higher than that of other three algorithms.

An Enhanced Artificial Bee Colony Approach for Customer Segmentation in Mobile E-commerce Environment

An Enhanced Artificial Bee Colony Approach for Customer Segmentation in Mobile E-commerce Environment

Research on the Integrated Management System of Supply Chain Based on Mobile E-Commerce Environment

This article first introduces the development Status of Supply Chain management based on Mobile E-commerce environment, analyzes the benefits of the Supply Chain management to the operation of the node enterprises in current environment of information technology based on the Mobile E-commerce, gives a description to the building, operation and model innovation of the Integrated Supply Chain management system based on Mobile E-commerce, proposes the problems of the supply chain management model based on Mobile E-commerce and puts forward some targeted solutions.

Prevention of wormhole attacks in mobile commerce based on non-infrastructure wireless networks

A number of studies have made progress towards satisfying the vital security requirements of mobile commerce, including identifying and resolving most of the possible flaws. However, recent studies have asserted that a particular attack, called the wormhole attack, can seriously impair the routing protocol. This vulnerability exists in a wireless system and may also exist in ad hoc commerce systems. Although many attempts have been made to confront wormhole attacks in the field of wireless communications, the available solutions are still inadequate and need to be improved. For example, Ariadne-based methods have been confronted with the new insider attacks, but to date the vulnerability has not been fixed. Moreover, those solutions are not tailor-made for a mobile commerce environment. This paper identifies a possible new threat from wormhole attacks in an ad hoc mobile commerce environment and proposes an approach for handling this type of attacks in a way that is not impacted by the new problems facing Ariadne and endairA. Based on cryptographic theory, the proposed method that we discuss can nullify wormhole attacks coming from both the outside involving non-authorized and non-authenticated identities, and the inside for authorized and authenticated identities. The main features of our solution are: (1) in the routing request process, heavy computation can be parallelized among powerful servers; and (2) in the routing reply process, not every source node decrypts all the ciphertext transmitted by intermediate nodes and not every intermediate node needs to execute cryptographic computations. Through theoretical analysis, our approach is shown to be suitable for the mobile commerce environment, and more efficient and robust than Ariadne.

Consumer privacy issues in mobile commerce: a comparative study of British, French and Romanian consumers

PurposeThis paper aims on one hand to provide a comparison of mobile consumers' perceptions regarding privacy issues in three different national and cultural contexts (England, France and Romania), and on the other hand, to investigate the strategic approach taken by respondents for protecting their privacy.Design/methodology/approachBoth secondary and primary data are collected and analysed. Secondary data collection focuses on the topic of consumer privacy issues in mobile commerce. Primary data collection was realised between March‐June 2008, when 300 mobile device users answered to a face‐to‐face questionnaire, in each of the three investigated countries.FindingsBoth the country of origin and the personal profile of users, are influencing their perception regarding privacy threats in the mobile commerce environment, as well as the privacy protection strategy they adopt.Research limitations/implicationsThis study has an exploratory approach, the results being mostly descriptive. The findings can provide a useful insight for marketers, legislators and consumers regarding the privacy related concerns and behaviours in the mobile commerce environment.Originality/valueThis study realises a multi‐country comparative analysis regarding the perceptions of mobile device users, and investigates the influence of their profile on the personal privacy protection strategy adopted in the mobile commerce environment.