<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[author results for Neeley, Tsedal,]]></title><description><![CDATA[author results for Neeley, Tsedal,]]></description><link>https://gateway.bibliocommons.com/v2/libraries/chipublib/rss/search?query=Neeley%2C%20Tsedal%2C&amp;searchType=author&amp;origin=core-catalog-explore&amp;view=grouped</link><generator>RSS for Node</generator><lastBuildDate>Sat, 17 Oct 2026 19:12:00 GMT</lastBuildDate><item><title><![CDATA[Remote Work Revolution]]></title><description><![CDATA["A Harvard Business School professor and leading expert in virtual and global work provides remote workers and leaders with the best practices necessary to perform at the highest levels in their organizations"-- Provided by publisher.]]></description><link>https://chipublib.bibliocommons.com/v2/record/S126C2305771</link><guid isPermaLink="true">https://chipublib.bibliocommons.com/v2/record/S126C2305771</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Neeley, Tsedal]]></dc:creator><pubDate>Sun, 31 Jan 2021 00:00:00 GMT</pubDate><comments>https://chipublib.bibliocommons.com/item/comment/2305771126</comments><format>BK</format><subtitle>Succeeding From Anywhere</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9780063068308/MC.GIF&amp;client=chicagoplb&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[The Language of Global Success]]></title><description><![CDATA["A fascinating examination of how an English-language mandate at a Japanese firm, Rakuten, unfolded over time and how employees reacted to it"--Back of jacket.]]></description><link>https://chipublib.bibliocommons.com/v2/record/S126C1883124</link><guid isPermaLink="true">https://chipublib.bibliocommons.com/v2/record/S126C1883124</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Neeley, Tsedal]]></dc:creator><pubDate>Tue, 31 Jan 2017 00:00:00 GMT</pubDate><comments>https://chipublib.bibliocommons.com/item/comment/1883124126</comments><format>BK</format><subtitle>How A Common Tongue Transforms Multinational Organization</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9780691175379/MC.GIF&amp;client=chicagoplb&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[The Digital Mindset]]></title><description><![CDATA["The digital revolution is here. It's changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that in the near future we will all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. This book introduces three approaches-Collaboration, Computation, and Change-that you need for a digital mindset and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you can ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent to prepare their company for successful and continued digital transformation. Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how, and let you in on a surprising and welcome secret: developing a digital mindset isn't as hard as we think. Most people can become digitally savvy if they follow the "30% rule"-the minimum threshold that gives us just enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world"-- Provided by publisher.]]></description><link>https://chipublib.bibliocommons.com/v2/record/S126C2412348</link><guid isPermaLink="true">https://chipublib.bibliocommons.com/v2/record/S126C2412348</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Leonardi, Paul M.]]></dc:creator><pubDate>Mon, 31 Jan 2022 00:00:00 GMT</pubDate><comments>https://chipublib.bibliocommons.com/item/comment/2412348126</comments><format>BK</format><subtitle>What It Really Takes to Thrive in the Age of Data, Algorithms, and AI</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781647820107/MC.GIF&amp;client=chicagoplb&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[On AI]]></title><description><![CDATA["If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand what's happening, look ahead to what's possible, and bring your AI efforts to scale. This book will inspire you to: develop your next AI strategy; seize the potential of natural language processing; prepare for jobs and industries to be transformed; help people and machines work together; prepare for the regulation of AI; develop algorithms for sales and marketing; stop tinkering with AI and go all in."-- Provided by publisher.]]></description><link>https://chipublib.bibliocommons.com/v2/record/S126C2576896</link><guid isPermaLink="true">https://chipublib.bibliocommons.com/v2/record/S126C2576896</guid><category><![CDATA[PAPERBACK]]></category><category><![CDATA[eng]]></category><pubDate>Tue, 31 Jan 2023 00:00:00 GMT</pubDate><comments>https://chipublib.bibliocommons.com/item/comment/2576896126</comments><format>PAPERBACK</format><subtitle></subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781647825843/MC.GIF&amp;client=chicagoplb&amp;type=xw12&amp;oclc=</image_url></item></channel></rss>