Stevens Institute of Technology

About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Computer science & Cognitive radio. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.

Measuring Corporate Culture Using Machine Learning

Abstract: We create a culture dictionary using one of the latest machine learning techniques—the word embedding model—and 209,480 earnings call transcripts. We score the five corporate cultural values of innovation, integrity, quality, respect, and teamwork for 62,664 firm-year observations over the period 2001–2018. We show that an innovative culture is broader than the usual measures of corporate innovation – R&D expenses and the number of patents. Moreover, we show that corporate culture correlates with business outcomes, including operational efficiency, risk-taking, earnings management, executive compensation design, firm value, and deal making, and that the culture-performance link is more pronounced in bad times. Finally, we present suggestive evidence that corporate culture is shaped by major corporate events, such as mergers and acquisitions.

COVID-19 and ageism: How positive and negative responses impact older adults and society.

Abstract: The disproportionately high rates of coronavirus disease 2019 (COVID-19) health complications and mortality among older adults prompted supportive public responses, such as special senior early shopping hours and penpal programs. Simultaneously, some older adults faced neglect and blatant displays of ageism (e.g., #BoomerRemover) and were considered the lowest priority to receive health care. This article examines positive and negative responses toward older adults in the United States during the pandemic and the consequences for older adults and society using data from the pandemic in the United States (and informed by data from other countries) as well as past theorizing and empirical research on views and treatment of older adults. Specifically, positive responses can reinforce the value of older adults, improve older adults' mental and physical health, reduce ageism, and improve intergenerational relations, whereas negative responses can have the opposite effects. However, positive responses (social distancing to protect older adults from COVID-19 infection) can inadvertently increase loneliness, depression, health problems, and negative stereotyping of older adults (e.g., helpless, weak). Pressing policy issues evident from the treatment of older adults during the pandemic include health care (triaging, elder abuse), employment (layoffs, retirement), and education about ageism, as well as the intersection of ageism with other forms of prejudice (e.g., racism) that cuts across these policies. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Strategic Project Leadership® Toward a strategic approach to project management

Abstract: Strategic Project Leadership s (SPL) is a new approach to project management that is focusing projects on creating competitive advantage and winning in the marketplace. This approach is particularly relevant to strategic projects that are initiated to create the company's future, including almost all R&D projects. In the traditional approach, project managers and teams were typically focused on getting the job done, and meeting time and budget goals. SPL, provides a modern view. It suggests that projects are initiated for business reasons, and that just 'getting the job done' is not enough. This paper presents a mindset, a framework, and a practical, step-by-step approach on how to connect project management to business results and how to turn projects into powerful competitive weapons. The paper is based on extensive case research, of which we present six cases - three successes and three disappointments - to demonstrate the value of the SPL approach to project management. 1

Machining with flexible manipulator: toward improving robotic machining performance

Abstract: This paper presents the critical issues and methodologies to improve robotic machining performance with flexible industrial robots. Compared with CNC machines, the stiffness of industrial robots is significantly lower, resulting in unacceptable quality and lower productivity. The problem is treated with a novel methodology that consists of stiffness modeling, real-time deformation compensation for quality and controlled material removal rate for efficiency. Experimental results show that higher productivity as well as better surface accuracy can be achieved, indicating a promising and practical use of industrial robots for machining applications that is not possible at present

Business Intelligence and Analytics Education, and Program Development: A Unique Opportunity for the Information Systems Discipline

Abstract: “Big Data,” huge volumes of data in both structured and unstructured forms generated by the Internet, social media, and computerized transactions, is straining our technical capacity to manage it. More importantly, the new challenge is to develop the capability to understand and interpret the burgeoning volume of data to take advantage of the opportunities it provides in many human endeavors, ranging from science to business. Data Science, and in business schools, Business Intelligence and Analytics (BI&A) are emerging disciplines that seek to address the demands of this new era. Big Data and BI&A present unique challenges and opportunities not only for the research community, but also for Information Systems (IS) programs at business schools. In this essay, we provide a brief overview of BI&A, speculate on the role of BI&A education in business schools, present the challenges facing IS departments, and discuss the role of IS curricula and program development, in delivering BI&A education. We contend that a new vision for the IS discipline should address these challenges.