scholarly journals Profiled M-advertising Framework for Consumer Advertising

2013 ◽  
Vol 1 (1) ◽  
pp. 1-10 ◽  
Author(s):  
G.L.P.N. Gangabada ◽  
S. C. Premaratne

Mobile advertising and profiled advertising has become major discussion topics recently. With rapid development of mobile technology in the last decade, many e-business organizations are trying to combine the latest mobile technologies with customer profiling in order to increase the reachability of their product information among the target market. This paper presents a potential mechanism to enhance such mobile advertising by improving existing user profile methods. The main goal of this research is to introduce a novel user profiling mechanism that can be used to improve the productivity of a mobile advertising system. The proposed system is capable of providing additional information such as video, audio, etc. about advertisements to the user while giving profile-based and proximity suggestions.

2021 ◽  
Vol 16 (5) ◽  
pp. 1631-1647
Author(s):  
Sooa Hwang ◽  
Hyunah Park ◽  
Kyunghui Oh ◽  
Sangwoong Hwang ◽  
Jaewoo Joo

We investigated whether adding product information in mobile commerce improved consumers’ attitudes toward a product and whether this relationship was moderated by consumption goals. We conducted two field experiments in which we recruited parents in Korea and the USA and asked them how they evaluated two childcare hybrid products (HPs) newly developed by Samsung Electronics designers. The results revealed that participants exposed to additional information about the HPs evaluated them more favorably than those who were not exposed. However, this relationship disappeared when a consumption goal was activated. Our findings establish a dynamic relationship between information seeking and consumption goals, asking designers to rethink their rule of thumb in the mobile commerce context.


2021 ◽  
Vol 13 (15) ◽  
pp. 8569
Author(s):  
Erin Percival Carter ◽  
Stephanie Welcomer

We examine consumer expectations about how specialty versus conventional food products affect well-being and how small, artisan producers can use that information to design better customer experiences. Drawing on recent work examining the costs and benefits of pleasure- and meaning-based consumption, we investigate whether consumer expectations that specialty products are more meaningful lead to increased desire for additional product information. We selectively sampled from the target market of interest: high-involvement consumers who regularly consume a food (cheese) in both more typical and specialty forms. The authors manipulate product type (typical versus special) within participant and measure differences in expected pleasure and meaning as well as a variety of behaviors related to and preference for additional product information. We find that these high-involvement consumers expect special food products to provide both more meaningful (hypothesized) and more pleasurable consumption experiences (not hypothesized) than typical food products. Consistent with our theory, consumer use of, search for, and preference for additional product information was greater for special products. A causal mediation analysis revealed that expectations of meaning mediate the relationship between product type and utility of product information, an effect which persists controlling for the unexpected difference in expected pleasure.


2014 ◽  
Vol 644-650 ◽  
pp. 5644-5647
Author(s):  
Kang Shao ◽  
Hui Xu ◽  
Kun Wang

With the rapid development of e-commerce, online store, characterized in less investment and operating flexibility, are favored by more entrepreneurs. This paper analyzes the principal factors, affecting the competitiveness of online clothing shop, based on third-party platform with online sales of conduct, and the intrinsic link between them. And emphasis should be placed on the network store management, target market, products value, service quality, network store promotion, prestige image and logistics services to cultivate and raise the competence of network store so as to get unique competitive edges.


2008 ◽  
pp. 1486-1501
Author(s):  
A. Andreevskaia ◽  
R. Abi-Aad ◽  
T. Radhakrishnan

This chapter presents a tool for knowledge acquisition for user profiling in electronic commerce. The knowledge acquisition in e-commerce is a challenging task that requires specific tools in order to facilitate the knowledge transfer from the user to the system. The proposed tool is based on a hierarchical user model and is agent-based. The architecture of the tool incorporates four software agents: processing agent maintaining the user profile, validating agent interacting with the user when information validation is needed, monitoring agent monitoring the effects of the changes made to the user profile, and a filtering agent ensuring the safe information exchange with other software.


Author(s):  
Muhammad Anshari ◽  
Mohammad Nabil Almunawar ◽  
Syamimi Ariff Lim

The rapid development of business gives access to many business organizations to develop a digital marketplace as a platform to become a global market leader. Digital marketplace is a digital platform that facilitates communications and transactions between many sellers and buyers. Developing the digital marketplace is widely used by many business companies to grow their business to attract many local and international customers in order to generate more revenue and maximize values. This chapter presents some development of digital marketplace focusing on the fashion industry. It assessed advantages, disadvantages, and some challenges in the digital marketplace such as managing the growth of the business and customer trust. Among all the products that are purchased online, fashion items are the most famous as many people purchase their clothes through online shopping. The chapter highlights Zalora and FashionValet, the largest and fastest-growing fashion in Southeast Asia.


Author(s):  
Jerry Zeyu Gao ◽  
Angela Ji

The fast deployment of wireless networks and mobile technologies and the significant increase in the number of mobile device users have created a very strong demand for new innovative mobile commerce applications and services. Since mobile advertising is one of the important subjects in mobile commerce, studying and developing mobile advertising solutions becomes a hot research and business topic. This paper first discusses the basic concepts of mobile advertising. Then, it reports a mobile advertising system (known as SmartMobile-AD), including its supporting business process, functions, system architecture, and built-in technical solutions. The system supports the wireless advertising workflow for wireless service companies and publishers (or portals) to manage and deliver multimedia mobile ads to mobile users over the wireless Internet. The paper provides insights and design solutions on mobile advertisement targeting, delivery, tracking, and performance measurement. Furthermore, the paper presents application examples of the system.


Author(s):  
Markus Aleksy ◽  
Bernd Stieger ◽  
Thomas Janke

The ongoing evolution of industrial field service is mainly driven by demographical changes, increasing complexity of products, and tremendous amounts of product information from enterprise information systems as well as from the emerging Internet of Things. To cope with these challenges, a combined approach utilizing semantic and mobile technologies fosters the provision of the right information, at the right time, in the right place, and to the right people. This paper investigates the exploitation potential of semantic mobile applications to support industrial service processes. Based on identified application scenarios, the authors developed concepts for process improvement and, thus, derived requirements. The necessary semantic data federations are considered in the presented architecture, which enables an integrated approach for tailored information retrieval from heterogeneous information sources.


2019 ◽  
Vol 28 (03) ◽  
pp. 1950008
Author(s):  
Mingjun Xin ◽  
Lijun Wu ◽  
Shunxian Li

Nowadays, location-based social network (LBSN) has become one of the most popular applications with the rapid development of mobile Internet. However, due to the spatial and real-time properties, mobile service recommendation under LBSN environment faces too many challenges especially data sparsity problem. To tackle these challenges, a recommendation framework is proposed in this paper which has four layers defined as data collection layer, user profile modeling layer, information processing layer and recommendation feedback layer, respectively. Furthermore, the ISC-CF algorithm is implemented to integrate users’ interest profile, social influence and current location context to effectively overcome the data sparsity problem. Thus, the social influence is quantified by a modified measure way. Finally, a dynamic and personalized adjustment algorithm is built by using the users’ profile tracking and the current location context. The experiment results show that the algorithm proposed in this paper has significantly superior performance compared with the other baseline recommendation methods in both hometown area and out-of-town area.


2020 ◽  
pp. 1443-1464
Author(s):  
Jian Wang ◽  
Zejin Zhu ◽  
Junju Liu ◽  
Chong Wang ◽  
Youwei Xu

With the rapid development of Internet of Things (IoT) and mobile technologies, the service offerings available in the IoT and mobile environments are increasing dramatically. How to provide intelligent and personalized services for users becomes a challenging issue. Several context aware service recommendation approaches have been reported to leverage roles to represent common knowledge within user communities, based on which services can be recommended for users. Prior studies on context aware role mining mainly focus on mining roles from a fixed data set of user behavior patterns, while most of them neglect the dynamic change of the input data. The frequent change of the user data will result in the change of extracted roles, and how to efficiently update extracted roles according to change of the input user data remains a challenging issue. In this paper, towards this issue, the authors introduce a novel role updating approach in context aware role mining. In the apporach, several algorithms are presented towards various scenarios such as new users and new contexts are removed from and added into the input data. Experiments show that compared with existing solutions, the proposed algorithms can guarantee the completeness of updating results while keeping good updating efficiency.


2009 ◽  
pp. 785-795
Author(s):  
Abbass Ghanbary

Emerging mobile technologies have changed the way we conduct business. This is because communication, more than anything else, has become extremely significant in the context of today’s business. Organizations are looking for communication technologies and corresponding strategies to reach and serve their customers. Mobile technologies provide ability to communicate independent of time and location. Therefore, understanding mobile technologies and the process of transitioning the organization to a mobile organization is crucial to the success of adopting mobility in business. Such a process provides a robust basis for the organization’s desire to reach a wide customer base. This chapter discusses the assessment of a business in the context of mobile technology, describes the application and limitations of mobile technology, presents a brief history of mobile technology and outlines an initial approach for transitioning an organization to a mobile organization.


Sign in / Sign up

Export Citation Format

Share Document