1. 〜朝、電話ﾌﾟﾙﾙﾙ〜 上司「寝坊か？」 俺「さっき母が死にまして・・・」 上司「お前の母が死んだのこれで5回目だぞ」 俺「ええ、何度蘇ろうと必ず倒します」 — 死んだSAO謎B0T (@ajptwttdddjtt) February 17, 2015 2. 「髪切りに行ったんですか？」を上司に尊敬語で言おうとして「あたまいかれたんですか？」と言ってしまった新入社員の話しを思い出してヤヤウケ — えん (@yenzo) November 30, 2009 3. 上司「ここまでは明日の朝までになんとか終わらないか」 僕「どう考えても無理です」 上司「出来る、出来ないじゃなくて、やるんだよ」 僕「お客と交渉して納期を伸ばしてもらわないと品質が担保できません」 上司「それは今更は無理だろ」 僕 「出来る、出来ないじゃなくて、やるんだよ」 — 夕星 (@yuzutz) November 16

＜ピックアップ＞ Amazon just launched virtual ‘Dash’ buttons for one-click buying from the home page Amazonが、壁などに貼り付けて使える「Dash buttons（ダッシュボタン）」のバーチャル版をリリースした。ダッシュボタンの高まる需要を受けてリリースに至ったという。 ひとつの商品ごとに設けられるダッシュボタンは、ワンクリックで対象商品が注文され、最短で自宅に届くもの。トイレットペーパーや洗剤といった日用品の再注文に便利だ。 今回のリリースで、物理的なダッシュボタンがなくても、Webサイトまたアプリのトップにバーチャル版が表示されるようになった。ユーザーごとに頻繁に注文する商品があらかじめ厳選されているが、後から好きに管理することができる。 Primeのメンバーなら、Amazonの無数の商品の中から

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What should you do about a badmouthing boss? Let’s consider this hypothetical example: Karen hates the fact that her boss, Tom, frequently says negative things about her colleagues to her. She gently expressed her discomfort to him a number of times — after which he apologized and then continued his critique. Two months ago, one of her colleagues told her that Tom had criticized her analytical ski

Artwork: George Byrne, Pink Wall, 2014, archival pigment print Summary. When it comes to selecting a new CEO, judgment really matters. The choice may devastate a company or create enormous value. In his work advising companies, Charan has observed that some board members are especially great at succession decisions. In this article he describes how they go about picking the right candidate. Direct

Early in your career — whether it’s in banking, law, consulting or accounting — you will discover that all of your colleagues are as smart and hard working as you. You’ll learn that the key to being successful must be something else. Over my 40-year banking career, I’ve learned that the critical distinguishing factor for advancing in the professional services is emotional intelligence (EQ). Withou

It is almost second nature to create stereotypes of people based on age. If someone is in their twenties then they must be technologically adept, obsessed with keeping fit, prepared to change jobs frequently whilst obviously searching for meaningful work. Those in their sixties and seventies must be less interested in work and are probably exhausted and anticipating the leisure time offered by a l

Outbound B2B sales are becoming less and less effective. In fact, a recent survey found that connecting with a prospect now takes 18 or more phone calls, callback rates are below 1%, and only 24% of outbound sales emails are ever opened. Meanwhile, 84% of B2B buyers are now starting the purchasing process with a referral, and peer recommendations are influencing more than 90% of all B2B buying dec

Artwork: George Byrne, White Palm (detail), 2015, archival pigment print Summary. While every organization inevitably must replace its CEO, most firms are ill-prepared for succession. In this article, HBR senior editor Eben Harrell reviews the most salient studies of succession planning and offers context from the experts. Some key takeaways: Though turnover among CEOs is rising, only 54% of board

The gig economy workforce is growing. A new Pew Research Center survey on the sharing economy shows that 8% of American adults earned money from an online employment platform in the last year across industries, such as ride hailing, online tasks, and cleaning/laundry. These gig economy workers are driven by a range of motivations, from lacking other jobs to wanting control over their schedule to s

A new face at the top brings new hopes, and often, new strategic priorities. When Target hired Brian Cornell as CEO in 2014, expectations were high that he would inject fresh energy into one of the largest U.S. retail chains. When that same year Microsoft replaced CEO Steve Ballmer with Satya Nadella, the move signaled the possibility for major change. Indeed, the company eventually announced its

Peeking into the neural network architecture used for Google's Neural Machine Translation November 17, 2016 The Google Neural Machine Translation paper (GNMT) describes an interesting approach towards deep learning in production. The paper and architecture are non-standard, in many cases deviating far from what you might expect from an architecture you'd find in an academic paper. Emphasis is plac