Showing papers by "Bell Labs published in 2023"
TL;DR: In this paper , the authors developed a deep learning framework to extract stress mentions from these reviews and proposed a new methodology that places each company on a stress-by-rating quadrant (based on its overall stress score and overall rating on the site), and accordingly scores the company to be, on average, either a low stress , passive , negative stress , or positive stress company.
Abstract: Abstract Workplace stress is often considered to be negative, yet lab studies on individuals suggest that not all stress is bad. There are two types of stress: distress refers to harmful stimuli, while eustress refers to healthy, euphoric stimuli that create a sense of fulfillment and achievement. Telling the two types of stress apart is challenging, let alone quantifying their impact across corporations. By leveraging a dataset of 440 K reviews about S &P 500 companies published during twelve successive years, we developed a deep learning framework to extract stress mentions from these reviews. We proposed a new methodology that places each company on a stress-by-rating quadrant (based on its overall stress score and overall rating on the site), and accordingly scores the company to be, on average, either a low stress , passive , negative stress , or positive stress company. We found that (former) employees of positive stress companies tended to describe high-growth and collaborative workplaces in their reviews, and that such companies’ stock evaluations grew, on average, 5.1 times in 10 years (2009–2019) as opposed to the companies of the other three stress types that grew, on average, 3.7 times in the same time period. We also found that the four stress scores aggregated every year—from 2008 to 2020 —closely followed the unemployment rate in the U.S.: a year of positive stress (2008) was rapidly followed by several years of negative stress (2009–2015), which peaked during the Great Recession (2009–2011). These results suggest that automated analyses of the language used by employees on corporate social-networking tools offer yet another way of tracking workplace stress, allowing quantification of its impact on corporations.
2 citations
TL;DR: In this paper , the authors developed and validated a six-dimensional framework reflecting Internal Sustainability Efforts (ISEs), gathered more than 350k employee reviews of 104 major companies across the whole US for the (2008-2020) years, and developed a deep-learning framework scoring these reviews in terms of the six ISEs.
Abstract: Abstract It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of a lack of methodologies operationalizing these internal sustainability practices, and of data honestly documenting such efforts. We developed and validated a six-dimension framework reflecting Internal Sustainability Efforts (ISEs), gathered more than 350K employee reviews of 104 major companies across the whole US for the (2008-2020) years, and developed a deep-learning framework scoring these reviews in terms of the six ISEs. Commitment to ISEs manifested itself at the micro-level—companies scoring high in ISEs enjoyed high stock growth. This new conceptualization of ISEs offers both theoretical implications for the literature on corporate sustainability and practical implications for companies and policy makers. To further explore these implications, researchers need to add potentially missing ISEs, to do so for more companies, and establish the causal relationship between company success and ISEs.
TL;DR: In this paper , the authors proposed a digital signal processing architecture for a coherent receiver that allows instantaneous and hitless variable baud rate transmission for integer sub-division values without processing modification, re-initialization, or any knowledge of the transmission speed modification.
Abstract: We propose a novel digital signal processing architecture for a coherent receiver that allows instantaneous and hitless variable baud rate transmission for integer sub-division values. This solution allows the receiver to self-adapt a new baud rate without processing modification, re-initialization, or any knowledge of the transmission speed modification. As for implantation concern, this architecture requires negligible extra logic compared to the standard one. Its development and operation developed on a simulation basis are presented; then its dynamic behavior and performance are demonstrated in a real-time experiment attesting a zero-bit loss. We also show how an in-line auto-negotiation protocol between a transmitter and a receiver minimizing the mediation through the control plane can leverage this instantaneous baud rate variation.