Photoviva is a case study of a small company that successfully implements an Enterprise 2.0 model. The company involves customers in the design, production, testing and marketing of customized iPhone and smartphone cases. On its website and through social media, Photoviva allows customers to design their own unique cases, provides feedback opportunities, and partners with other brands in its marketing. This small company exemplifies Enterprise 2.0 concepts like prosumer, co-production, mass customization and open innovation.
A Best Practice of Enterprise 2.0: the Photoviva Case Study
1. A Best Practice of Enterprise 2.0:
the Photoviva Case Study.
D. Consoli
University of Urbino “Carlo Bo”
W. Del Prete
e-leva
Itais 2012
Rome, September 28-29
2. Agenda
Aim of the presentation
The enterprise 2.0 model
The case study Photoviva
Conclusions
3. Aim of the paper
To present a Photoviva case study,
a brand of a small company that
implements the new model of
Enterprise 2.0
5. Enterprise 2.0 - Definitions
“Enterprise 2.0 is the use of emergent social software
platforms within companies, or between companies
and their partners or customers" (McAfee, 2006).
An Enterpise 2.0 is an organizational and
technological model based on active participation of
all stakeholders (customers, suppliers, sponsors,
business partners) in the sharing of internal and
external knowledge.
6. Features of Enterprise 2.0
Keywords: sharing, collaboration and cooperation with
all business stakeholders
New ways to work: open, bottom up and interconnected
Customer involvement: customer can be involved in all
productive processes: design, development, production,
testing and marketing.
7. New concepts 2.0
- Prosumer (Toffler, 1980)
- User Generated Content (UGC) (Strobbe et al.,
2010)
- Long tail (Anderson, 2006)
- Market are conversations (Levine et al., 200)
- Mass customization (Tseng, and Jiao,2001) (Kaplan
and Haenlein, 2006)
- Open Innovation (Chesbourg, 2003)
- Peer-to-peer production (Tapscott and William,
2006)
- Crowdsourcing (Howe, 2006)
8. Examples of companies 2.0
-In Canadian manufacturer John Fluevog, customers
participate actively and creatively in desinging new models of
shoes.
-The Mulino Bianco is available to listen any proposal on the
conception of new biscuits. Ideas can be proposed and voted;
the best one will be realized.
-In the website "Fiat 500" (500 Wants You - www.fiat500.com)
any consumer contributed creatively to the design of the new
car.
-Lego (lego.com) is a good example of a company that
involves customers in developing a new line of robots “Mind
Storms”.
12. Many 2.0 sites are authoring tools
• www.youtube.com
• www.facebook.com
• www.blogspot.com
• www.twitter.com
• www.flickr.com
What if we apply the same concept to the
product design?
29. Web Marketing 2.0
• Partnership: www.eroticpink.com
• Public Relation and Blog
• Review
http://www.iphoneitalia.com/photoviva-presenta-le-cover-personalizzate-di-san-valentino-331546.html
Video Review http://www.youtube.com/watch?feature=player_embedded&v=erKaRY5dlpg
• Contests
http://apple.hdblog.it/2011/10/14/vincitori-contest-photoviva/
31. Thanks for your attention
Domenico Consoli
domenico.consoli@uniurb.it
Walter Del Prete
info@e-leva.com
32. Conclusions
Photoviva is a brand of a small company that
continually applies new and innovative ideas in the
business exploiting the contribution of customers.
Photoviva involves customers in the productive
process designing unique and personal covers by
the website.
This small company implements inside advanced
business concepts: prosumer, co-production, mass
customization and open innovation.
Notas do Editor
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.
It is proposed a method to extract automatically the opinion of customers from collections of texts spontaneusly provided by customers, such as blogs. It is about the application of Automatic Reasonings techniques to evaluate if a textual opinion provided on a product has a positive or negative sense (or polarity), and to consider this opinion to improve the production. The research framework is within the sentiment analysis technique.