Makeup Genius: How L’Oréal is transforming and taking over the cosmetic industry.

6

November

2015

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Along with tackling the premise of information asymmetry in its online web shop, L’Oréal has acted upon a very strategic and innovative way of testing make up with the use of an app that integrates augmented reality within its system. Instead of going to crowded drugstores, being frustrated by the fact that trial makeup is not the most hygienic way of testing the product on your face, and the disability to test products within a short timeframe, this application enables you to test a large variety of L’Oréal’s products anytime and everywhere. In order to establish Makeup Genius L’Oréal cooperated with Image Metrics, a company that creates facial recognition software for video games and movies. This technology enables you to use the front-facing camera as a virtual mirror.

Makeup Genius enables you to have a drastic way of trying on make up with using nothing but your phone. Makeup Genius scans your face and allows you to select from a large range of L’Oréal’s products. The results are extremely realistic, which makes it seem as if you’re actually wearing the products. In order to make this Augmented Reality application, L’Oréal invested 18 months to develop, test, and enhance the application. While developing, the multinational incorporated thousands of products and over one hundred unique facial expressions. You can try out just eyeliner or create complete looks. Once you like what you see, you can save your look and share it with friends, as well as purchase the products online.

Furthermore, another way Makeup Genius removes the hassle of the in-store experience is by allowing you to scan the products and try them on virtually. Since the launch of Makeup Genius, many magazines have appraised the application. Fast Company even perceived L’Oreal to be one of the most innovative companies of 2015 (Mala, 2015). Additionally, more than 10 million people have downloaded the application and have tried on more than 25 million looks altogether, while using more than 65 million products (which is thus 65 million more makeup trials of L’Oreal’s products) (Makeup Genius, 2015).
This implementation of AR reduces information asymmetry in a very significant way, allowing customers to witness the traits of the products in a real life manner, whereby certain ambiguities about the product performance are slightly diminished. However, the product does not allow a customer to witness whether the product quality and user-friendliness is compatible with their expectations.

Will you be the new Makeup Genius user? Would you download the app and use AR to buy cosmetics of L’Oréal?

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Social Media Tactics Backfiring in the 2016 Presidential Race

18

October

2015

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Already, this presidential race has proven to be dominated by which candidate can utilize social media the best. Because of all of the press coverings of candidate Donald Trump, many young voters, particularly millennials, have been paying close attention to this presidential race. This is great for voter turnout, and I expect it to be the highest ever. However, candidates are forced to reach out to this younger generation of voters through social media to seem relatable and to humanize themselves. Currently 16% of registered voters follow candidates on social media, which is up 10% from 2010. Hilary Clinton has been one of the most active candidates on social media, reaching more than four million Twitter followers, getting more than one million Facebook Likes, and creating accounts on Instagram, Pinterest, Snapchat, and Spotify (Brousell, 2015).

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As beneficial as social media can be to a candidate’s platform, a mishap can be fatal to their hope for being elected president. Bill Jasso, a PR professor at Syracuse University, says that “the problem with immediacy is that it offers you an opportunity but also a big danger. When there is that break in continuity or consistency, it can be fatally damaging to a candidate” (Brousell, 2015).

Many candidates have experienced mistakes in their social media strategies this year already, such as New Jersey Governor Chris Christie. He attempted a to launch his candidacy with a Twitter campaign using #TellingItLikeItIs. This quickly became a tool for people against Christie to reveal scandals about his administration (Flynn, 2015).

Donald Trump has experienced far more social media mishaps than any other candidate thus far, with numerous offensive tweets. In July, Donald Trump tweeted a picture of an American Flag with his picture and some others on it, with the hashtag #MakeAmericaGreatAgain. On the bottom line of the flag, there was a picture of Nazi soldiers! This tweet quickly got deleted, and Trump blamed the mistake on an intern (Donovan, 2015). He also tweeted something on 9/11/2015 which was very offensive to many American citizens, and he quickly deleted that as well.

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Another social media strategy that backfired against Trump was his #AskTrump campaign. The goal of this was to encourage voters to ask him questions about his campaign so that he could then answer on a live feed. As the rest of the world could have expected, users asked him about his highly publicized negative moments, such as his rude comments about Megyn Kelly and Rosie O’Donnell, his calls for Obama to release his birth certificate, and controversial aspects of his personal life. During the live feed, he avoided all of these questions.(Marcin, 2015).

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Jason DeMers, a contributor on Forbes.com, wrote an article recently called 5 Fatal Mistakes That Will Kill Your Social Media Marketing Campaign. Although this article is directed towards businesses pursuing social media advertising, I think it can apply for political candidates as well. Fatal mistake #1, according to DeMers, is posting offensive material. This mistake is made very often by candidates! Mistake #2 is misinterpreting a trend. Candidates need to make sure that they are aware of all current trends so they avoid misinterpreting something or accidentally offending groups of people. Mistake #3 is paying for shortcuts, i.e. followers. Candidates do not just need high follower counts, they need for their followers to interact positively with them. Fatal mistake #4 is ignoring feedback, and #5 is going silent. These days, candidates should be posting multiple times a day on various platforms to keep their supporters (and their opponents) engaged (DeMers 2015).

References

Brousell, L. (27 Aug 2015). Why social media could swing the 2016 presidential election. CIO. Retrieved from http://www.cio.com/article/2976083/social-networking/why-social-media-could-swing-the-2016-presidential-election.html

DeMers, J. (8 Oct 2015). 5 Fatal Mistakes That Will Kill Your Social Media Marketing Campaign. Forbes. Retrieved from http://www.forbes.com/sites/jaysondemers/2015/10/08/5-fatal-mistakes-that-will-kill-your-social-media-marketing-campaign/

Donovan, L. (15 Jul 2015). Donald Trump’s Social Media Intern Makes Huge Mistake, Shows Why Hiring a Social Media Professional is Crucial. Business 2 Community. Retrieved from http://www.business2community.com/social-media/donald-trumps-social-media-intern-makes-huge-mistake-shows-hiring-social-media-professional-crucial-01276364#GwhqUAEAXMpjBzEz.97

Flynn, K. (1 Jul 2015). Christie, Jindal Twitter Hashtag Fails Show Presidential Campaigns Still Struggle with Social Like It’s 2008. International Business Times. Retrieved from http://www.ibtimes.com/christie-jindal-twitter-hashtag-fails-show-presidential-campaigns-still-struggle-1992349

Marcin, T. (21 Sept 2015). #AskTrump Hashtag Backfires: Donald Trump Twitter Headquarters Visit Prompts Social Media Backlash. International Business Times. Retrieved from http://www.ibtimes.com/asktrump-hashtag-backfires-donald-trump-twitter-headquarters-visit-prompts-social-2106932

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Homework Assignment Week 7: Peer Production and Open Sourcing

18

October

2015

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The first article by Michael Zhang and Feng Zhu looked at the causal relationship between group size and incentives to contribute to public goods, namely digital goods. They did a study based on Chinese Wikipedia and how the blocking efforts from mainland China affected the number of contributions to the site. Chinese Wikipedia’s community is composed of Chinese speakers around the world, with the majority of the community from mainland China, Hong Kong, Taiwan, and Singapore. In October 2005, when mainland China blocked Chinese Wikipedia from its citizens for about a year, non-blocked contributors of Chinese Wikipedia decreased their contributions by 42.8% on average. Thus, the authors concluded that there is a positive relationship between group size and contribution levels. In contrast to the free-rider hypothesis, contributors to public goods such as Wikipedia oftentimes receive private benefits because of social effects (Zhang & Zhu, 2011).

The second article by J. Hyatt examines MySQL’s open-source innovation lead by CEO Marten Mickos. MySQL uses open source innovation by sharing its source code for free. This gives programmers around the world access to debug or add features to MySQL. Their community of 12 million programmers receives very little reward for their contributions. According to Mickos, the four main reasons for programmers to contribute to MySQL’s software are to get a better functioning product, to build a reputation, to prove something to themselves, and to get personal satisfaction (Hyatt, 2008).

The third article by Eric von Hippel and Georg von Krogh is about how open source software development is a combination of two prevalent models of innovation, which are the private investment model and the collective action model. The private investment model presumes that innovation is supported by private investment, and from that will come private rewards. The collective action model deals with public goods which anybody can gain benefit from. Von Hippel and von Krogh see open sourcing as a private-collective model because new knowledge is created privately and then offered freely to everyone (von Hippel & von Krogh, 2003).

All three of these articles support the idea of peer production and open sourcing, so I wanted to take a look at an article that was against open sourcing. I found an article called “7 Reasons Not to Use Open Source Software.” Some reasons are as follows:

  • The user interfaces of open source systems are more difficult for unskilled users to work with.
  • Services like Microsoft Office
  • Proprietary software offers better support to users with limited knowledge, such as 24/7 support lines.
  • Warranties and liability protections (Rubens, 2014).

Lastly, I looked at Linux and WordPress for case examples of open-source software. Linux is the most well-known and popular open source operating system. Its code is free and available for anyone to view and edit, and the user interface is much more customizable than closed operating systems (Opensource.com, n.d.). WordPress is an open source software blogging website that allows users to use, modify, build upon, and redistribute their contributions. The developer community consists of thousands of people who report bugs and make other contributions (Blakhi, 2015).

Blakhi, S. (16 May 2015). Why is WordPress Free? What are the Costs? What is the Catch? Wpbeginner.com. Retrieved from http://www.wpbeginner.com/beginners-guide/why-is- wordpress-free-what-are-the-costs-what-is-the-catch/

References

Blakhi, S. (16 May 2015). Why is WordPress Free? What are the Costs? What is the Catch? Wpbeginner.com. Retrieved from http://www.wpbeginner.com/beginners-guide/why-is- wordpress-free-what-are-the-costs-what-is-the-catch/

Hyatt, J. 2008. The oh-so-practical magic of open-source innovation. MIT Sloan Management Review. 50(1) 15-19.

Rubens, P. (11 Feb 2014). 7 Reasons Not to Use Open Source Software. CIO.com. Retrieved from http://www.cio.com/article/2378859/open-source-tools/7-reasons-not-to-use-open-source- software.html

von Hippel, E., and von Krogh, G. 2003. Open source software and the “private-collective” innovation model: Issues for organization science. Organization Science. 14(2) 209-223.

What is Linux? (n.d.). Opensource.com. Retreived from http://opensource.com/resources/what-is-linux

Zhang, M. and Zhu, F. 2011. Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. American Economic Review. 101(4) 1601-1615.

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You might actually WANT to open this email from LinkedIn!

5

October

2015

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Anybody who has a LinkedIn profile knows how often the site send emails. There are emails send for connection requests, emails sent when your connections have updates, emails for when your profile is being viewed, emails for when your connections accept your requests, and so many more. If you’re like me, you simply brush aside all of these emails because you can view all of that activity online the next time you actually sign into LinkedIn.

This past Friday afternoon, I received a new type of email that was sent out to all LinkedIn users–an email informing its users of a class-action suit. The email’s subject line was “LEGAL NOTICE OF SETTLEMENT OF CLASS ACTION” from a contact called “Legal Notice” (legalnotice@linkedin.com). In short, LinkedIn is dealing with improper use of one of their mechanisms to grow their user base, which is the “Add Connections” feature. The company is agreeing to pay out $13 million in compensation to users who felt that they had been wronged by this service. If enough users file for claims, LinkedIn will add another $750,000 to the fund (Murphy 2015).

The reasoning behind this class-action suit deals with a case called Perkins v. LinkedIn Corp. LinkedIn is being challenged based on its use of “Add Connections,” which is a LinkedIn service that connects current users’ email addresses to the site, and repeatedly asks the users if they would like to add those contacts to LinkedIn. If the users comply, an email will be sent to their contacts with a personalized invitation to join LinkedIn. What the LinkedIn users were unaware of, however, were how many emails LinkedIn was actually sending to their contacts. LinkedIn sends out three different emails to each contact–one initial email, and then two more “reminders” if the contact does not make a LinkedIn profile. “The lawsuit alleges that users did not consent to LinkedIn sending those additional emails, nor give LinkedIn permission to use their names and images in them” (Kastrenakes 2015). Any users who used the Add Connections feature between September 2011 and October 2014 are eligible to earn money by submitting a claim By December 2015 (Murphy 2015).

LinkedIn is dealing with this case very defensively. They released a statement to Business Insider on October 3rd, denying fault for the emails. They said:

LinkedIn recently settled a lawsuit concerning its Add Connections product. In the lawsuit, a number of false accusations were made against LinkedIn. Based on its review of LinkedIn’s product, the court agreed that these allegations were false and found that LinkedIn’s members gave permission to share their email contacts with LinkedIn and to send invitations to connect on LinkedIn. Because the court also suggested that we could be more clear about the fact that we send reminder emails about pending invitations from LinkedIn members, we have made changes to our product and privacy policy. Ultimately, we decided to resolve this case so that we can put our focus where it matters most: finding additional ways to improve our members’ experiences on LinkedIn. In doing so, we will continue to be guided by our core value — putting our members first (Kastrenakes 2015).

Is LinkedIn dealing with their allegations the right way? Some say no, because they feel that LinkedIn is trying too hard to draw users’ attention away from the case. For one, LinkedIn sent the email late on a Friday afternoon, which is the time of week when the emails are checked least frequently. This also draws media attention away from the matter, because readership on press outlets is lowest on Saturdays. Second, the subject line of the email looks like spam, because it is in all capital letters and the return contact is unknown by users. This would lead people to delete the email immediately, because they do not want to accidentally open a spam email. Third, LinkedIn did not provide any information about this case on their website or the users’ news feeds. Fourth, LinkedIn seems to be making it quite difficult for users to submit a claim. Not only are the directions in the email a bit misleading, but the prominent way to receive the money is by electronic bank transfer, and people may be hesitant to give LinkedIn their bank information (Goldman 2015).

This is not the first time that LinkedIn has denied wrongdoing for legal cases. In June 2012, 6.5 million American users’ passwords were stolen from LinkedIn and posted to a website hosted in Russia. Users argued that LinkedIn had not been properly protecting their legal information, which is what led to the suit being filed. “On the website, LinkedIn denied that it had done anything wrong and said the cash settlement was the best way to resolve the legal claims and would ‘avoid the distraction and expense of ongoing litigation'” (BBC 2015).

What do you think about how LinkedIn is handling Perkins v. LinkedIn Corp., and how do you think it will affect their site membership?

BBC. (24 Feb 2015). LinkedIn settles password hack legal claim. Retrieved from http://www.bbc.com/news/technology-31602894

Goldman, E. (3 Oct 2015). The Perkins v. LinkedIn Class Action Settlement Notification Was Badly Bungled. Forbes. Retrieved from http://www.forbes.com/sites/ericgoldman/2015/10/03/the-perkins-v-linkedin-class-action-settlement-notification-was-badly-bungled/

Kastrenakes, J. (2 Oct 2015). LinkedIn agrees to settle unwanted email lawsuit. The Verge. Retrieved from http://www.theverge.com/2015/10/2/9444067/linkedin-email-lawsuit-settlement-add-connections

Murphy, M. (4 Oct 2015). You might want to reply to that LinkedIn email you got Friday. Quartz. Retrieved from http://qz.com/516741/how-to-claim-linkedin-lawsuit-settlement-payment/

A screenshot of the email that LinkedIn sent out to all of its users on Friday evening
A screenshot of the email that LinkedIn sent out to all of its users on Friday evening.

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