How Customer Obsession Creates Accountability for Change

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sloanreview.mit.edu
– Charlene Li.

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It’s well-known that organizational change is difficult — in fact, 70% of change efforts fail, but awareness hasn’t improved the odds of success. Companies continue to struggle with choosing the right projects, sequencing and integrating change initiatives, and establishing accountability mechanisms to measure results. In my work as an analyst at Altimeter, which specializes in technology research and strategy, I’ve found that the exceptional companies making strides with everything from digita.  show all text

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@Serve4impact: How Customer Obsession Creates Accountability for Change ##design #feedly buff.ly/2R0adLo

It’s well-known that organizational change is difficult — in fact, 70% of change efforts fail, but awareness hasn’t improved the odds of success. pic.twitter.com/lHfPEUpXEt

19.01.2019 02.00.03

@charleneli: My new @MITSloan article: “After all, who better to hold you accountable for meeting audacious transformation goals than your customers?” #disruption #customerfocus
buff.ly/2R0adLo

18.01.2019 21.44.44

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@nowthisnews: ‘Reminder: The food we eat is a result of someone’s hard work (via @UFWupdates) ‘

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twitter.com
– NowThis

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@tom_peters: The food we eat is a result of someone’s hard work pic.twitter.com/lWwHbaoaOB

19.01.2019 00.20.47

@ValaAfshar: The food we eat is a result of someone’s hard work pic.twitter.com/lWwHbaoaOB

18.01.2019 23.35.39

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Vía All News on ‘The Twitter Times: v/2019’ https://twitter.com/nowthisnews/status/1075791185195614208/video/1

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Incorporating Social Activism

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corpgov.law.harvard.edu

Posted by Tom C. W. Lin (Temple University), on Friday, January 18, 2019 Editor’s Note: Tom C.W. Lin is Professor of Law at the Temple University Beasley School of Law. This post is based on a recent article by Professor Lin, forthcoming in the Boston University Law Review. Related research from the Program on Corporate Governance includes Socially Responsible Firms by Alan Ferrell, Hao Liang, and Luc Renneboog (discussed on the Forum here) and Social Responsibility Resolutions by Scott Hirst ..  show all text

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@Financialnewswk: Incorporating Social #Activism corpgov.law.harvard.edu/2019/01/18/inc… #corpgov

19.01.2019 01.17.44

@oceg: Incorporating Social Activism corpgov.law.harvard.edu/2019/01/18/inc… via @HarvardCorpGov #corpgov #CSR #ESG

18.01.2019 22.54.39

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The shabbiest U.S. president ever is an inexpressibly sad specimen – The Washington Post

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washingtonpost.com

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@nminow: The shabbiest U.S. president ever is an inexpressibly sad specimen washingtonpost.com/opinions/what-…

19.01.2019 01.30.39

@nigelcameron: George Will: shabbiest U.S. president ever is an inexpressibly sad specimen – The Washington Post – washingtonpost.com/opinions/what-…

18.01.2019 22.45.02

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Vía All News on ‘The Twitter Times: v/2019’ https://wapo.st/2sC6cmK

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Top Trending Results from the 2020 Vision Survey: Get the First Look

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blog.talemetry.com

The Talemetry 2020 Vision Survey examines current recruitment marketing challenges that organizations face today, the resources they use to meet those challenges, and the technologies they plan to implement in 2019 and beyond. Get a first look at the top trending results from this study.

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@MeghanMBiro: Research: @talemetry asked 100+ talent acquisition pros at organizations with 1k+ employees about their current recruitment marketing challenges. Some interesting answers here #RecruitmentMarketing #HRtech > hrmfv.co/2xos pic.twitter.com/Ubp1lBdYa5

19.01.2019 00.33.54

@TalentCulture: Survey via @talemetry asked 100 #recruiters at companies with 1k+ employees about the resources and technologies they use to meet their challenges, and the #HRtech they plan to implement in 2019. Check out the results > hrmfv.co/2xor pic.twitter.com/EYEqtYAZ8o

19.01.2019 00.14.48

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The Machine Learning Race Is Really a Data Race

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sloanreview.mit.edu
– Megan Beck and Barry Libert. <p>Megan Beck

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Machine learning — or artificial intelligence, if you prefer — is already becoming a commodity. Companies racing to simultaneously define and implement machine learning are finding, to their surprise, that implementing the algorithms used to make machines intelligent about a data set or problem is the easy part. There is a robust cohort of plug-and-play solutions to painlessly accomplish the heavy programmatic lifting, from the open-source machine learning framework of Google’s TensorFlow to Mi.  show all text

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@barrylibert: It’s clear that software has eaten the world. But it is still hungry! Software needs a steady diet of new data combined with new technologies to continue adding value. —@themeganbeck + @barrylibert. Free read ➔ mitsmr.com/2PCv2vC

19.01.2019 01.30.37

@twilli2861: The Machine Learning Race Is Really a Data Race buff.ly/2BjcYBz #machinelearning #datascience #leadership #innovation #futureofwork pic.twitter.com/i79RRX9lH0

19.01.2019 00.23.21

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SumAll

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sumall.com

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@MikeVanDervort: My week on Twitter &#55356;&#57225;: 21 Mentions, 126K Mention Reach, 40 Likes, 9 Retweets, 149K Retweet Reach. See yours with sumall.com/performancetwe… pic.twitter.com/FP0vJTQ2Cq

19.01.2019 01.05.56

@JenniferSertl: My week on Twitter &#55356;&#57225;: 58 Mentions, 286K Mention Reach, 302 Likes, 75 Retweets, 3.34M Retweet Reach. See yours with sumall.com/performancetwe… pic.twitter.com/VJAdlv8FxM

19.01.2019 01.00.40

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@realDonaldTrump on Twitter

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twitter.com
– Donald J. Trump

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@penottawa: Interesting. No mention of the dreaded wall.
Instead, “let’s make a deal and secure our southern border” twitter.com/realdonaldtrum…

19.01.2019 02.27.46

@realDonaldTrump: pic.twitter.com/wjqVvTqeky

19.01.2019 02.14.44

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Vía All News on ‘The Twitter Times: v/2019’ https://twitter.com/realDonaldTrump/status/1086446833541570560/video/1

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