Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms

2011 ◽  
pp. 39-59 ◽  
Author(s):  
Yuliana Perez-Gallardo ◽  
Giner Alor-Hernandez ◽  
Guillermo Cortes-Robles
Keyword(s):  
Decision Support ◽  
Web 2.0 ◽  
Collective Intelligence ◽  
New Strategy ◽  
Crm 2.0 ◽  
Feedback Phase

With the implementation of CBIR paradigms and Collective Intelligence into Web 2.0 application, CRM 2.0 can be improved by providing a new strategy for presenting products or services. This integration materializes a link where customers have the ability to enrich their search before the purchase; to effectively compare products, and to clarify their preferences. Finally, it is important to underline that the proposed integration represents a decision support in the feedback phase of CRM.

Improving CRM 2.0 through Collective Intelligence by Using CBIR Algorithms

2014 ◽  
pp. 1482-1502
Author(s):  
Yuliana Perez-Gallardo ◽  
Giner Alor-Hernandez ◽  
Guillermo Cortes-Robles
Keyword(s):  
Web 2.0 ◽  
Collective Intelligence ◽  
Functional Integration ◽  
Business Strategies ◽  
The People ◽  
New Strategy ◽  
New Business ◽  
Crm 2.0 ◽  
Technological Platform ◽  
Different Content

CRM 2.0 is a business philosophy whose purpose is to involve the customer in the business in order to provide value of mutual benefit. CRM is supported by two main elements: a technological platform and social features; in this chapter both elements are covered. An overview of different Content Based Images Retrieval (CBIR) algorithms, with the aim to develop Web 2.0 applications for improving CRM 2.0 by using Collective Intelligence is introduced. The result of applying Collective Intelligence is an improvement in the services offered, useful for maintaining an inter-functional integration among processes, the people, and the area of marketing to increase customer satisfaction. It is also useful for identifying tendencies and to proactively conceive new business strategies. With the implementation of CBIR paradigms and Collective Intelligence into Web 2.0 application, CRM 2.0 can be improved by providing a new strategy for presenting products or services. This integration materializes a link where customers have the ability to enrich their search before the purchase; to effectively compare products, and to clarify their preferences. Finally, it is important to underline that the proposed integration represents a decision support in the feedback phase of CRM.

Smart Planning

2018 ◽  
pp. 601-632
Author(s):  
Ari-Veikko Anttiroiko
Keyword(s):  
Urban Planning ◽  
Web 2.0 ◽  
Empirical Evidence ◽  
New Technologies ◽  
Collective Intelligence ◽  
Web 2.0 Tools ◽  
Application Field ◽  
Planning Culture ◽  
Technology Trend ◽  
Characteristic Process

This chapter discusses the ability of new technologies to support collective intelligence. The technology trend brought into the spotlight is Web 2.0 because it has a great potential to contribute to the refined understanding of planning issues. Such an application field can be called Collective Intelligence 2.0 with crowdsourcing as its characteristic process. This chapter discusses how such an intelligence and crowd-sourced knowledge can be utilized in smartening up urban planning. Crowdsourcing has been experimented in urban planning since the late 2000s, most notably in the forms of wikiplanning, participatory sensing, and co-creation. By combining theoretical insights and empirical evidence, this chapter concludes that Web 2.0 tools can be used to increase various forms of social and collective intelligence and, especially when the precondition of citizen-centered open planning culture is met, have undeniable potential to smarten up urban planning.

A Social Bookmarking-Based People Search Service

2012 ◽  
pp. 174-186
Author(s):  
Jeff J.S. Huang ◽  
Stephen J.H. Yang ◽  
Jeng C.C Chen ◽  
Irene Y.S. Li ◽  
Indy Y.T. Hsiao
Keyword(s):  
Web 2.0 ◽  
Social Networking ◽  
Collective Intelligence ◽  
The Internet ◽  
Social Bookmarking ◽  
Community Activities ◽  
Internet Resources ◽  
Search Service ◽  
Interactive Relationship ◽  
People Search

The emergence of Web 2.0 has brought along the trend of community. It is also the trend that contributes to socialization of the Internet. The essence of Web 2.0 is creation and sharing which give rise to social networking communities such as Blog, Wikipedia and Facebook. Through Wikipedia, Blogs, Facebook and other kinds of social networking websites, interactive relationship and bridge of knowledge sharing have been built up successfully. This paper attempts to propose an effective way to locate people with shared interests. By using Internet resources bookmarked by the users, the similarity of interests between them can be analyzed. Based on this relationship, people could build communities. Also, through community activities, the innovation and exchange of collective intelligence are accomplished.

CRM 2.0 and Mobile CRM

2017 ◽  
pp. 322-342
Author(s):  
Tânia Isabel Gregório ◽  
Pedro Isaías
Keyword(s):  
Web 2.0 ◽  
Customer Relationship Management ◽  
Exploratory Study ◽  
Relationship Management ◽  
Sampling Technique ◽  
Customer Relationship ◽  
Mobile Technologies ◽  
European Level ◽  
Probabilistic Sampling ◽  
Crm 2.0

Companies are becoming more focused on customers and on new ways to approach them individually. Mobile technologies and Web 2.0 have been pushing companies to evolve in this area. This research is focused on the way Customer Relationship Management (CRM) systems are used, on a European level, by recruiting companies to assist candidates in finding a satisfactory job. A framework is presented to identify how CRM 2.0 and mCRM (mobile CRM) can help candidates to find jobs in a personalized way. A set of four hypotheses have been defined. To gain a better understanding of these CRM systems, the methodology used in the exploratory study was quantitative, employing a non-probabilistic sampling technique, with 35 recruiting agencies being studied. Results showed that the use of software in recruiting agencies is quite common and that CRM 2.0 is present in the vast majority of the studied companies. When it comes to mobile CRM, there's still much to be explored in this channel, as agencies focus their resources on Web 2.0, leaving this channel's great potential of mobile CRM unused.

Quantitative Evaluation of Web2.0 Application

2016 ◽  
pp. 357-386
Author(s):  
Jibitesh Mishra ◽  
Kabita Rani Naik
Keyword(s):  
Quantitative Analysis ◽  
Web 2.0 ◽  
Quantitative Evaluation ◽  
Social Networking Sites ◽  
Web Applications ◽  
Collective Intelligence ◽  
Quality Model ◽  
Professional Business ◽  
Questionnaire Method ◽  
New Generation

Web 2.0 is a new generation of web applications where the users are able to participate, collaborate and share the created artefacts. Web 2.0 is all about the collective intelligence. Web 2.0 applications are widely used for all the educational, professional, business and entertainment purposes. But a methodology for quantitative evaluation of web2.0 application quality is still not available. With the advancement of web technology various dimensions to evaluate web2.0 application quality is changing. So studies will be made to select a quality model that is required for web 2.0 application. Then the quantitative analysis will be done on the basis of questionnaire method and statistical formula. Quantitative analysis is necessary to know the weakness and strength of a website and then to improve the web quality. Quantitative evaluation can also be used for comparing two or more websites. In this study, quantitative analysis is done for each quality attribute of two social networking sites. Then the two sites are compared on the basis of the quantitative value of quality.

Social Media

2014 ◽  
Vol 5 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Ashok Kumar Wahi ◽  
Yajulu Medury ◽  
Rajnish Kumar Misra
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Social Networking ◽  
Customer Relationship Management ◽  
Online Communities ◽  
Relationship Management ◽  
Customer Relationship ◽  
Enterprise 2.0 ◽  
The Core ◽  
Crm 2.0

The purpose of this paper is to provide an understanding of the Web 2.0 phenomenon and social media and its implications on customer relationship management, in order to learn that online communities and social networking are at the core of the enterprise of future or Enterprise 2.0. A range of published articles and books regarding Web 2.0, Enterprise 2.0, CRM 2.0 and social networking are examined and critiqued. A model is proposed to establish the association between Enterprise 2.0 and Information Technology from the perspective of social media. The sources are divided into three basic elements: Web 2.0, Online Social Networking websites and CRM 2.0. If Enterprise 2.0 is the enterprise of future then Social Media is the future of enterprise. Customer engagement and customer value proposition form the core of Enterprise 2.0 and online communities and social media form the corresponding core for knowledge creation and integration of Enterprise 2.0. Social media should affect customer relationship management in organizations. In the knowledge society of the future extended enterprises will become the basis of business rather than the competitive strength of individual enterprises and therefore the need to proactively prepare for it.

Performance Evaluation of Consumer Decision Support Systems

2011 ◽  
pp. 225-243
Author(s):  
Jiyong Zhang
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Web Sites ◽  
Support Systems ◽  
Research Field ◽  
Cognitive Effort ◽  
Evaluation Framework ◽  
Simulation Environment ◽  
Consumer Decision ◽  
New Strategy

Consumer decision support systems (CDSSs) help online users make purchasing decisions in e-commerce Web sites. To more effectively compare the usefulness of the various functionalities and interface features of such systems, we have developed a simulation environment for decision tasks of any scale and structure. Furthermore, we have identified three criteria in an evaluation framework for assessing the quality of such CDSSs: users’ cognitive effort, preference expression effort, and decision accuracy. A set of experiments carried out in such simulation environments showed that most CDSSs employed in current e-commerce Web sites are suboptimal. On the other hand, a hybrid decision strategy based on four existing ones was found to be more effective. The interface improvements based on the new strategy correspond to some of the advanced tools already developed in the research field. This result is therefore consistent with our earlier work on evaluating CDSSs with real users. That is, some advanced tools do produce more accurate decisions while requiring a comparable amount of user effort. However, the simulation environment will enable us to efficiently compare more advanced tools among themselves, and indicate further opportunities for functionality and interface improvements.

scholarly journals A decision support framework for remanufacturing of highly variable products using a collective intelligence approach

Procedia CIRP ◽  
2020 ◽  
Vol 90 ◽  
pp. 594-599
Author(s):  
Mickaël Bettinelli ◽  
Michel Occello ◽  
Damien Genthial ◽  
Daniel Brissaud
Keyword(s):  
Decision Support ◽  
Collective Intelligence ◽  
Decision Support Framework ◽  
Intelligence Approach
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