Connecting Customer Relationship Management Systems to Social Networks 7th International Conference on Knowledge Management, Services, and Cloud Computing.

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Presentation transcript:

Connecting Customer Relationship Management Systems to Social Networks 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012) July 12, 2012 Hanno Zwikstra Frederik Hogenboom Damir Vandic Flavius Frasincar Erasmus University Rotterdam PO Box 1738, NL-3000 DR Rotterdam, the Netherlands

Introduction (1) Social network: –Social entities (e.g., people, organizations, etc.) –Social relationships (e.g., friendship, co-working, etc.) Social networks turn into digital networks: –Twitter –LinkedIn –Facebook 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Introduction (2) Growth of digital social networks shows rich potential: –Push information to target group (company advertisements, blogging, tweeting, etc.) –Pull information from social networks into a Customer Relationship Management (CRM) system: Monitor social network sites for content in which a company or brand is mentioned provides valuable information and means to interact with customers Microsoft CRM provides add-on for Twitter Oracle Social CRM Applications We propose the SocialCRMConnector framework, which is implemented as LinkedInFinder 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Framework (1) 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012) SocialCRMConnector framework retrieves profile data from social networks Keypoints: –Simplicity –Control –Up-to-date

Framework (2) 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012) Social network entities and relationships:

Framework (3) 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012) CRM entities and relationships:

Framework (4) Main steps: 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Implementation (1) LinkedInFinder: –Use case: Find people that have a job at specific companies that are not yet listed within the CRM and with whom the CRM owner would like to get in contact Leads are potential connections to companies of interest and are connected through first-degree connections of all CRM users –Integrates Microsoft Dynamics CRM with LinkedIn: CRM add-in: when adding a company in the CRM, by a click of a button one could search for potential connections to the company LinkedIn app: –Asks permission –Retrieves user connections –Displays information of selected connection –Implementation in C# and ASP.NET: 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Implementation (2) 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Implementation (3) Search API request: Profile API request: 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012) distance,first-name,last-name))?company-name=Erasmus& current-company=1&sort=relevance&start=0&count=10 -name,first-name,num-connections,num-connections-capp ed,phone-numbers,three-current-positions,picture-url, location:(name),relation-to-viewer:(distance,num-rela ted-connections,relatedconnections),positions:(title, company:(name)))

Evaluation Validation of our results with the LinkedIn Web search engine: –Search results identical with advanced search –LinkedIn default search yields different ordering 17 Participants were asked to use LinkedInFinder and to assign points to 4 statements on a 5-point Likert scale: –I find the application useful –The application shows enough information to be useful –The application offers enough functionality to be useful –I would use the application for my job Participants find the application useful and its design is considered to be adequate 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Conclusions We proposed the SocialCRMConnector framework which feeds CRM applications with social network data Its implementation, LinkedInFinder, pulls data from LinkedIn into the Microsoft Dynamics CRM system Results show that users find the application useful and adequately designed for the intended use Future work: –Implement other social networks –Implement in other CRM systems –Use social network data for other applications (personalization) 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)

Questions 7th International Conference on Knowledge Management, Services, and Cloud Computing (KMO 2012)