Department of Technology Management @ UCSB
@ucsbtm
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Research and education in entrepreneurship, strategy, and technology implementation at UC Santa Barbara
Santa Barbara, California
Joined November 2010
đ Looking to boost your tech careerâand get back into the workplace as soon as possible? Our accelerated, 1-year master's program that can help you land your dream job in today's fast-paced, technology-driven global economy. đ§ľ
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Your career experiences are part of who you are. Then, it makes sense that they would also shape the companies that you build, right? Christine Beckmanâs @cbeckman most highly cited paper says yes. Read more here: https://t.co/y3X1QN6lrU
#work #organization #entrepreneurship
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Do you use #AI for therapy? If yes, youâre not alone. As this becomes more common, however, it brings up questions about #ethics and empathy. Read more from PhD candidate Fares Ahmad @fares4hmad and Professor Nelson Phillips @NelsonPhillips: https://t.co/H5M6Gznmp3
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Everyone gets tired. But that tiredness can be dangerous when it comes from everyday tools! In his book Digital Exhaustion, out October 7, Paul Leonardi @pleonardi1 shows how technology is draining our energy, and walks us through how we can replenish it: https://t.co/MZIPeU1DOr
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Please join us for an upcoming information session to transform an idea into a business, all UCSB students welcome: Session 1- Wednesday, October 8th Session 2- Tuesday, October 14th Session 3- Thursday, October 23rd Session 4- Monday, October 27th All sessions 6PM in ESB 1001
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AI isnât just a C-suite conversation, itâs already shaping how teams work. Middle managers are in a unique position to champion AI adoption and empower employees while driving real business impact. Learn how to empower your people to make the most of AI. https://t.co/CqyuXPTo03
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These days, new skills are relevant for less and less time. Continuous learning is more important than ever. But how do you know what to focus on?
hbr.org
The modern worker has very little time for learning, and yet continuous learning is vital for anyone who wants to maintain their edge. Thereâs a significant pressure on us all to learn the right...
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Not just economists! Social scientists who focus on work, employment, innovation, technology and organizations... no matter what name we give our discipline.
Economists must take seriously the transformative implications of AI for the economy: -economic growth -science and innovation -inequality -concentration of power -geo-economics -information and knowledge flows -catastrophic risk -new measures of well-being and -transition
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ăComing on Oct 07ă ăDigital Exhaustion: Simple Rules for Reclaiming Your Lifeă AuthorďźLeonardi, Paul PublisherďźRiverhead Books Publication dateďźOctober 07, 2025 https://t.co/ZkSg1iz7a0
amazon.com
Unplugging is not a long-term solution for the stress caused by technology. If you want to keep your job, participate in society, and maintain meaningful relationships, you canât escape your many...
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Three ways to operationalize purpose at the team level. https://t.co/rHv6nD7ePP
https://t.co/K8d5oPvxOs
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Despite the fact that we spend one third of our lives at work, it is possible to separate our personal identity from our work.
hbr.org
Taking things personally at work is not a sign of weakness, but a reflection of your passion, commitment, and deep sense of responsibility. But what if your professional role has become too intertw...
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âThe biggest unlocks for businesses often come from using multiple technologies. Theyâre using machine learning. Theyâre using predictive analytics. Theyâre using probabilistic models,â says MGI Senior Partner Lareina Yee. Hereâs what business leaders need to know about top tech
mckinsey.com
McKinseyâs annual outlook on technology trends highlights whatâs changedâand whatâs changingâfor business leaders when it comes to AI and other emerging technologies.
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For the fourth year in a row, MIT Sloan Management Review and Boston Consulting Group (BCG) have assembled an international panel of AI experts that includes academics and practitioners to help us understand how responsible artificial intelligence (RAI) is being implemented
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Effective leadership in a hybrid world requires different skills that go beyond traditional team leadership: https://t.co/h3YFblrm2n
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đ¸@StanfordHAI experts at today's "The Next Revolution of AI: Impact Summit" urge us to guide AIâs future with reasoned optimism and resilience to benefit society and future generations. The event brings together top minds to discuss AIâs next wave in science, industry & beyond.
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In a major step toward accelerating the real-world impact of academic innovation, #UCSB has secured a research & development facility in Goleta. "This space will be an oasis where ideas donât die in the lab, but grow into solutions that benefit society."
news.ucsb.edu
A launchpad for cutting-edge technologies, the new facility helps power UCSBâs impact on innovation and U.S. economic growth
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Humble leaders help employees feel purposeful, motivated, and energized.
hbr.org
Top-down leadership is outdated and counterproductive. By focusing too much on control and end goals, and not enough on their people, leaders are making it more difficult to achieve their own desired...
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@UCSBTMP Relatedly, critique of hype is *part* of the hype process, and therefore part of what is *required* for development/integration/harms/value from GPTs. Here's a research paper of mine on a small part of this process:
dl.acm.org
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There's research on hype and new tech! Nelson Phillips, in my dept @UCSBTMP a leader there. tl;dr hype is a predictable, required mechanism for development/integration/harms/value from general purpose technologies. We haven't seen those outcomes without it!
@Beeblebrox4th @GaryMarcus This is the golden age of bullshit.
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Generative AI tools can make developers up to 55% more productive, but rapid deployment creates dangerous technical debt. To avoid costly system failures, organizations must establish clear guidelines, make technical debt management a priority, and train developers to use AI
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The immense scale of AI use, combined with AI being a General Purpose Technology that can be used for many things, means that any story of a successful (or failed) AI use case is an extremely narrow view into a vast sea of successes and failures. Don't over-index on one story.
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