Todd Hall from Fuqua School of Business, Duke University
Industry 4.0 technologies will dramatically alter the way work is done, especially how people collaborate. We use a series of laboratory experiments to study how industry 4.0 technologies affect team coordination, improvement efforts, and trust.
Be part of a small conversation to generate big ideas for change
“YOU MIGHT THINK, WELL, IF EVERYBODY IS BEING SURVEILLED, THEN IT’S GOING TO AFFECT EVERYONE EQUALLY. BUT THAT’S NOT REALLY THE CASE.”— Ifeoma Ajunwa, tenured associate law professor, University of North Carolina School of Law To kick off “Summit Gathering,” we are hosting a series of Community Conversations to dig deeper into the issues around…
The talk addresses three crucial issues for the science and management of large-scale collaborative knowledge work: (1) maintaining contributor motivation over the long-run, (2) understanding the role of authority structures in peer-production, (3) fostering inclusion to reap the rewards of crowd diversity.
Thomaz Teodorovicz from the Laboratory for Innovation Science at Harvard University
This paper addresses how strategies to leverage the high scalability of knowledge resources reshape unit-level performance and human capital management in multi-unit organizations. Using a wave of acquisitions in the private higher education in Brazil, the paper shows that being acquired by groups whose strategies rely on standardizing knowledge, promoting distance learning, and professionalizing management leads acquired units to specialize their relationships with faculty while increasing the scale and scope of service provision.
Alice Jayoung Jang from Questrom School of Business, Boston University
In the live-streaming environment, chat can engage the audience and make the main content more enjoyable but also sabotage the main content with trolling. We study the effect of the intervention of not allowing the audience to participate in the chatroom for a certain duration on user-generated content qualities in Twitch platform.
Jeff Gortmaker and Suproteem Sarkar from Harvard University
Ad blocking is a growing practice across the internet—more than 750 million devices block ads worldwide. Publishers have adapted to these tools by adjusting ad and content quality, negotiating with ad blocking groups to whitelist less intrusive ads, and directly employing workarounds to ad blocking technology. We argue the economic motivations for each of these responses varies according to publishers’ monetization strategies and user bases.
Connect, discuss the problem of inequality in tech, and identify opportunities to improve
In the “Summit Gathering” stage of our Just Digital Future project, we’ll come together as a community for a virtual event to dig into the problem of tech inequality and identify opportunities for change.
Dokyun Lee, Tepper School of Business, Carnegie Mellon University.
Can AI recognize innovation? We operationalize arguments from the philosophy of creativity and theory of innovation literatures to argue that three different types of scientific innovation — combinational, exploratory, and transformative — can be distinguished by generative algorithms in an unsupervised, data-driven manner.
Who is likely to resist algorithmic advice? Across 11 online studies and over 2,400 participants, we find that individuals that rely on their intuitive cognitive style prefer more advice from human (vs. algorithmic) advisors.
Using computational linguistics to construct measures of organizational culture from employee resume data, I show that the firms that produce the most breakthrough innovations use more quantitative tools, but use them as one tool in a diverse epistemic toolkit.